From c5bde8f0ce2582569ceea40f165580a19ff60081 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 21:42:11 +0530 Subject: [PATCH 01/22] Add opt-in greedy MoE verification prefixes --- dev/native.mk | 7 +- dev/tests/engine/gguf_moe_test.mm | 72 ++++- .../engine/live_verify_rows_metal_test.mm | 277 ++++++++++++++++++ .../engine/model_execution_plan_test.cpp | 5 + dev/tests/engine/model_runtime_oracle_test.mm | 13 +- runtime/metal/abi/LiveRows.h | 23 ++ runtime/metal/kernels/decode/sampling.metal | 132 ++++++++- runtime/metal/kernels/shared/moe.metal | 144 +++++++-- runtime/model/Model.hpp | 3 + runtime/model/QwenTarget.cpp | 2 +- runtime/model/QwenTarget.hpp | 1 + runtime/model/Runtime.cpp | 87 +++++- runtime/model/Runtime.hpp | 4 + runtime/model/RuntimeArenas.cpp | 1 + runtime/model/RuntimeArenas.hpp | 1 + runtime/ops/DraftSelector.cpp | 34 +++ runtime/ops/DraftSelector.hpp | 10 + runtime/ops/MoE.cpp | 27 +- runtime/ops/MoE.hpp | 4 + runtime/ops/Sampling.cpp | 18 +- runtime/ops/Sampling.hpp | 1 + 21 files changed, 787 insertions(+), 79 deletions(-) create mode 100644 dev/tests/engine/live_verify_rows_metal_test.mm create mode 100644 runtime/metal/abi/LiveRows.h diff --git a/dev/native.mk b/dev/native.mk index aee29556a..23c25f016 100644 --- a/dev/native.mk +++ b/dev/native.mk @@ -109,6 +109,7 @@ TEST_DFLASH_BATCH_CONTROL_TEST := $(ENGINE_TEST_BUILD)/dflash-batch-control TEST_DRAFT_ATTENTION_TEST := $(ENGINE_TEST_BUILD)/draft-attention TEST_GDN_DECODE_TEST := $(ENGINE_TEST_BUILD)/gdn-decode TEST_DRAFT_SELECTOR_TEST := $(ENGINE_TEST_BUILD)/draft-selector +TEST_LIVE_VERIFY_ROWS := $(ENGINE_TEST_BUILD)/live-verify-rows TEST_TARGET_SAMPLING_TEST := $(ENGINE_TEST_BUILD)/target-sampling TEST_VISION_METAL_TEST := $(ENGINE_TEST_BUILD)/vision-metal TEST_VISION_ATTENTION_TEST := $(ENGINE_TEST_BUILD)/vision-attention @@ -195,6 +196,7 @@ TEST_METAL_TARGETS := $(TEST_DRAFT_PREPARATION) \ $(TEST_DRAFT_ATTENTION_TEST) \ $(TEST_GDN_DECODE_TEST) \ $(TEST_DRAFT_SELECTOR_TEST) \ + $(TEST_LIVE_VERIFY_ROWS) \ $(TEST_TARGET_SAMPLING_TEST) \ $(TEST_VISION_METAL_TEST) \ $(TEST_VISION_ATTENTION_TEST) \ @@ -347,6 +349,8 @@ $(TEST_GDN_DECODE_TEST): dev/tests/engine/gdn_decode_metal_test.mm \ $(ENGINE_LIBRARY) $(LIB) $(TEST_DRAFT_SELECTOR_TEST): dev/tests/engine/draft_selector_metal_test.mm \ $(ENGINE_LIBRARY) $(LIB) +$(TEST_LIVE_VERIFY_ROWS): dev/tests/engine/live_verify_rows_metal_test.mm \ + $(ENGINE_LIBRARY) $(LIB) $(TEST_TARGET_SAMPLING_TEST): dev/tests/engine/target_sampling_metal_test.mm \ $(ENGINE_LIBRARY) $(LIB) $(TEST_VISION_ATTENTION_TEST): dev/tests/engine/vision_attention_metal_test.mm \ @@ -383,7 +387,7 @@ $(TEST_DRAFT_PREPARATION) $(TEST_GGUF_PROJECTION) $(TEST_ANE_FFN) \ $(TEST_Q8_PREFILL_TEST) $(TEST_GGUF_MOE) \ $(TEST_GDN_METAL_TEST) $(TEST_ATTENTION_PLAN) $(TEST_LINEAR_PLAN) \ $(TEST_DFLASH_BATCH_CONTROL_TEST) $(TEST_DRAFT_ATTENTION_TEST) \ - $(TEST_GDN_DECODE_TEST) $(TEST_DRAFT_SELECTOR_TEST) \ + $(TEST_GDN_DECODE_TEST) $(TEST_DRAFT_SELECTOR_TEST) $(TEST_LIVE_VERIFY_ROWS) \ $(TEST_TARGET_SAMPLING_TEST) $(TEST_VISION_ATTENTION_TEST) \ $(TEST_Q8_METAL_TEST) $(TEST_Q8_STORAGE_TEST) \ $(TEST_METAL_BACKEND_TEST) $(TEST_HANDOFF_TEST) $(TEST_VISION_ENCODER_TEST) \ @@ -522,6 +526,7 @@ test-engine-metal: $(TEST_METAL_TARGETS) $(METAL_TEST_ENV) $(TEST_DRAFT_ATTENTION_TEST) $(LIB) $(METAL_TEST_ENV) $(TEST_GDN_DECODE_TEST) $(LIB) $(METAL_TEST_ENV) $(TEST_DRAFT_SELECTOR_TEST) $(LIB) + $(METAL_TEST_ENV) $(TEST_LIVE_VERIFY_ROWS) $(LIB) $(METAL_TEST_ENV) $(TEST_TARGET_SAMPLING_TEST) $(LIB) $(METAL_TEST_ENV) $(TEST_VISION_METAL_TEST) $(LIB) $(METAL_TEST_ENV) $(TEST_VISION_ATTENTION_TEST) $(LIB) diff --git a/dev/tests/engine/gguf_moe_test.mm b/dev/tests/engine/gguf_moe_test.mm index c63f065c4..812ca74f4 100644 --- a/dev/tests/engine/gguf_moe_test.mm +++ b/dev/tests/engine/gguf_moe_test.mm @@ -33,6 +33,7 @@ #include "MoeExtents.hpp" #include "metal/abi/Gguf.h" #include "metal/abi/MoE.h" +#include "metal/abi/LiveRows.h" #import @@ -791,7 +792,7 @@ void bufferExtents(MetalBackend &backend) { [](BlockMoeWeights &changed, const MetalBuffer &view) { changed.sharedScalarGate.plane0 = view; }); } -int moe(MetalBackend &backend) { +int moe(MetalBackend &backend, bool liveOnly = false) { int failures = 0; Buffers b; b.input = activations(uint64_t{kMaximumRows} * kHidden); @@ -849,8 +850,58 @@ int moe(MetalBackend &backend) { MoeConfig{.expertTile = MoeExpertTile::M8, .ggufTile = tile}); const std::string label = formats + (tile == MoeGgufTile::Register ? " register" : " staged") + " decode B" + std::to_string(lanes); - const std::vector rows = - runPlan(backend, m, b, plan, tile == MoeGgufTile::Staged, oneGateUp, products, stats, label); + std::vector rows; + if (liveOnly) { + // The ordinary GPU graph is the independent bitwise reference + // for pruning; the default test also checks its FP64 numerics. + allocate(backend, b, plan); + CommandGraph graph; + MoE::add(graph, b.moe, m.weights, plan); + static_cast(backend.submitCommandAsync(graph.dispatches()).wait()); + const auto *output = static_cast(b.moe.output.contents()); + rows.assign(output, output + uint64_t{plan.rows()} * kHidden); + } else { + rows = runPlan(backend, m, b, plan, tile == MoeGgufTile::Staged, oneGateUp, products, stats, label); + } + // Every GGUF expert format and both decode tiles must preserve the + // exact bits of live rows after routed and shared routes are compacted. + for (uint32_t cutoff = 1; cutoff <= 9; ++cutoff) { + b.moe.liveRows = zeros(backend, lanes * sizeof(VerifyLiveRows), "live rows"); + auto *budgets = static_cast(b.moe.liveRows.contents()); + uint32_t liveCount = 0; + for (uint32_t lane = 0; lane < lanes; ++lane) { + budgets[lane].count = cutoff == 9 ? 8 : (cutoff + lane - 1) % 8 + 1; + liveCount += budgets[lane].count; + } + allocate(backend, b, plan); + CommandGraph graph; + MoE::add(graph, b.moe, m.weights, plan); + static_cast(backend.submitCommandAsync(graph.dispatches()).wait()); + const auto *actual = static_cast(b.moe.output.contents()); + const auto *residual = static_cast(b.moe.residual.contents()); + const auto *descriptors = static_cast(b.moe.scratch.tileDescriptors.contents()); + const uint32_t tiles = *static_cast(b.moe.scratch.tileCount.contents()); + uint32_t routedRows = 0, sharedRows = 0; + for (uint32_t tileIndex = 0; tileIndex < tiles; ++tileIndex) { + routedRows += descriptors[tileIndex].rows; + if (descriptors[tileIndex].expert == kExperts) sharedRows += descriptors[tileIndex].rows; + } + const uint32_t expectedRows = plan.rowsInPlace() ? (tiles - 1) * plan.tileRows() + liveCount + : liveCount * (kTopK + 1); + bool equal = routedRows == expectedRows && sharedRows == liveCount; + for (uint32_t row = 0; row < lanes * 8; ++row) { + const bool live = row % 8 < budgets[row / 8].count; + for (uint32_t column = 0; column < kHidden; ++column) { + const uint32_t index = row * kHidden + column; + equal = equal && actual[index] == (live ? rows[index] : residual[index]); + } + } + if (!equal) { + printf(" %s: live cutoff %u differs bitwise or retains inactive expert routes FAIL\n", label.c_str(), cutoff); + ++failures; + } + b.moe.liveRows = {}; + } // A row's result depends on its own routes only, not on the lanes it // is batched with (the tile rows of one expert are independent). if (widest.empty()) widest = rows; @@ -859,6 +910,11 @@ int moe(MetalBackend &backend) { ++failures; } } + if (liveOnly) { + printf("%-20s %s live prefixes B1-4 %s\n", formats.c_str(), + tile == MoeGgufTile::Register ? "register" : "staged", failures > before ? "FAIL" : "ok"); + continue; + } // Prefill chunks on the same 8-row tiles (ExecutionPlans::moePrefill); // a chunk of 8 rows reads them in place on the staged tile. for (const uint32_t chunk : {kMaximumRows, 27u, 9u, 8u}) { @@ -944,14 +1000,16 @@ int routingLoads(MetalBackend &backend) { int main(int argc, const char *argv[]) { @autoreleasepool { - if (argc != 2) { - std::cerr << "usage: gguf_moe_test \n"; + const bool liveOnly = argc == 3 && std::string_view(argv[2]) == "--live-only"; + if (argc != 2 && !liveOnly) { + std::cerr << "usage: gguf_moe_test [--live-only]\n"; return 2; } try { MetalBackend backend(argv[1]); - bufferExtents(backend); - const int failures = floatProjection(backend) + floatSegments(backend, 64) + floatSegments(backend, 96) + + if (!liveOnly) bufferExtents(backend); + const int failures = liveOnly ? moe(backend, true) : + floatProjection(backend) + floatSegments(backend, 64) + floatSegments(backend, 96) + floatOnlyChain(backend) + moe(backend) + routingLoads(backend); if (failures) { std::cerr << "gguf_moe_test: " << failures << " failures\n"; diff --git a/dev/tests/engine/live_verify_rows_metal_test.mm b/dev/tests/engine/live_verify_rows_metal_test.mm new file mode 100644 index 000000000..dc50c479e --- /dev/null +++ b/dev/tests/engine/live_verify_rows_metal_test.mm @@ -0,0 +1,277 @@ +#include "TestChecks.hpp" +#include "metal/MetalBackend.hpp" +#include "metal/abi/LiveRows.h" +#include "metal/abi/MoE.h" +#include "metal/abi/Sampling.h" +#include "ops/DraftSelector.hpp" +#include "ops/Sampling.hpp" + +#include +#include +#include +#include +#include +#include +#include + +namespace { +using namespace splash::metal; +using namespace splash::ops; +using splash::test::require; +constexpr uint32_t Positions = SPLASH_DRAFT_PROPOSAL_TOKENS; +constexpr uint32_t Candidates = SPLASH_DRAFT_CANDIDATES; +constexpr uint32_t Rows = SPLASH_TARGET_VERIFY_ROWS; + +MetalBuffer allocate(MetalBackend &backend, uint64_t bytes) { + auto buffer = backend.allocateBuffer(bytes, BufferStorage::Shared, "live verify test"); + std::memset(buffer.contents(), 0, bytes); + return buffer; +} + +template void rejects(F function) { + bool rejected = false; + try { function(); } catch (const std::invalid_argument &) { rejected = true; } + require(rejected, "invalid live-row configuration was accepted"); +} + +void confidence(MetalBackend &backend) { + const DraftSelector selector(1024); + const std::array q{0.95F, 0.90F, 0.85F, 0.60F, 0.40F, 0.30F, 0.02F}; + for (uint32_t lanes = 1; lanes <= 4; ++lanes) { + const auto workspace = DraftSelector::workspace(lanes * Positions); + DraftSelectorBuffers b{}; + b.candidates = allocate(backend, workspace.candidatesBytes); + b.unary = allocate(backend, workspace.unaryBytes); + b.partialValues = allocate(backend, workspace.partialValuesBytes); + b.proposedTokens = allocate(backend, lanes * Positions * sizeof(uint32_t)); + b.proposalProbabilities = allocate(backend, workspace.proposalProbabilitiesBytes); + std::memset(b.proposalProbabilities.contents(), 0xa5, b.proposalProbabilities.sizeBytes()); + const auto budget = allocate(backend, DraftSelector::liveRowsBytes(lanes)); + auto *ids = static_cast(b.candidates.contents()); + auto *tokens = static_cast(b.proposedTokens.contents()); + auto *unary = static_cast(b.unary.contents()); + auto *partial = static_cast(b.partialValues.contents()); + const uint32_t tables = lanes * Positions * SPLASH_DRAFT_SAMPLING_SHARDS * Candidates; + std::fill(partial, partial + workspace.partialValuesBytes / sizeof(float), NAN); + std::vector policies(lanes); + for (auto &policy : policies) policy.temperature = 0.0F; + for (uint32_t lane = 0; lane < lanes; ++lane) { + uint32_t predecessor = 0; + for (uint32_t p = 0; p < Positions; ++p) { + const uint32_t selected = (lane + p + 3) % Candidates; + tokens[lane * Positions + p] = p * Candidates + selected; + for (uint32_t c = 0; c < Candidates; ++c) { + const uint32_t index = (lane * Positions + p) * Candidates + c; + ids[index] = p * Candidates + c; + unary[index] = c == selected ? std::log(q[p] * (Candidates - 1) / (1.0F - q[p])) : 0.0F; + // Only the chosen predecessor's edge row is valid. In particular, + // all other rows at position zero are poisoned. + partial[tables + ((lane * Positions + p) * Candidates + predecessor) * Candidates + c] = 0.0F; + } + predecessor = selected; + } + } + for (float threshold : {0.0F, 0.001F, 0.01F, 0.1F, 0.2F, 0.5F, 0.8F, 0.94F, 1.0F}) { + for (uint32_t mixed = 0; mixed < 3; ++mixed) { + policies.back().temperature = mixed == 1 ? 0.8F : 0.0F; + policies.back().constrained = mixed == 2; + CommandGraph graph; + selector.addLiveRows(graph, b, budget, policies, threshold); + static_cast(backend.submitCommandAsync(graph.dispatches()).wait()); + const auto *actual = static_cast(budget.contents()); + for (uint32_t lane = 0; lane < lanes; ++lane) { + uint32_t expected = 1; + float prefix = 1.0F; + for (uint32_t p = 0; p < Positions; ++p) { + prefix *= q[p]; + if (expected == p + 1 && (threshold == 0.0F || prefix >= threshold)) ++expected; + if (!(lane == lanes - 1 && mixed)) + require(std::abs(actual[lane].prefix_confidence[p] - prefix) < 1e-5F, + "chosen-path confidence differs from the reference"); + } + if (lane == lanes - 1 && mixed) expected = Rows; + require(actual[lane].count == expected, "live prefix differs from the reference"); + } + } + } + const auto *bytes = static_cast(b.proposalProbabilities.contents()); + for (uint64_t i = 0; i < b.proposalProbabilities.sizeBytes(); ++i) + require(bytes[i] == 0xa5, "confidence overwrote sampled proposal probabilities"); + policies.back().temperature = 0.0F; + policies.back().constrained = false; + unary[0] = NAN; + CommandGraph invalid; + selector.addLiveRows(invalid, b, budget, policies, 0.9F); + static_cast(backend.submitCommandAsync(invalid.dispatches()).wait()); + require(static_cast(budget.contents())[0].count == Rows, + "nonfinite confidence must retain full verification"); + for (float threshold : {-0.1F, 1.1F, NAN, INFINITY}) + rejects([&] { CommandGraph graph; selector.addLiveRows(graph, b, budget, policies, threshold); }); + rejects([&] { CommandGraph graph; selector.addLiveRows(graph, b, {}, policies, 0.5F); }); + } + rejects([] { static_cast(DraftSelector::liveRowsBytes(0)); }); + rejects([] { static_cast(DraftSelector::liveRowsBytes(5)); }); +} + +// Production routing geometry (256 experts, top-8, 288 routes at B4), +// including multiple routes per thread and poisoned inactive expert IDs. +void grouping(MetalBackend &backend) { + constexpr uint32_t Experts = 256, TopK = 8, Routes = TopK + 1, Tile = 8; + for (uint32_t lanes = 1; lanes <= 4; ++lanes) { + const uint32_t rows = lanes * Rows; + const uint32_t maximumTiles = rows * TopK + lanes; + const auto selected = allocate(backend, rows * Routes * sizeof(uint32_t)); + const auto tiles = allocate(backend, maximumTiles * sizeof(MoeTileDescriptor)); + const auto count = allocate(backend, sizeof(MoeTileCount)); + const auto grouped = allocate(backend, maximumTiles * Tile * sizeof(uint32_t)); + const auto mapping = allocate(backend, rows * Routes * sizeof(uint32_t)); + const auto budget = allocate(backend, DraftSelector::liveRowsBytes(lanes)); + auto *limits = static_cast(budget.contents()); + auto *ids = static_cast(selected.contents()); + for (uint32_t cutoff = 1; cutoff <= 8; ++cutoff) { + for (uint32_t distribution = 0; distribution < 2; ++distribution) { + std::array expected{}; + for (uint32_t lane = 0; lane < lanes; ++lane) + limits[lane].count = (cutoff + lane - 1) % Rows + 1; + for (uint32_t row = 0; row < rows; ++row) { + for (uint32_t slot = 0; slot < Routes; ++slot) { + const uint32_t expert = slot == TopK ? Experts + : distribution ? slot : (row * 7 + slot * 13) % Experts; + const bool live = row % Rows < limits[row / Rows].count; + ids[row * Routes + slot] = live ? expert : 0xffffffffu; + if (live) ++expected[expert]; + } + } + CommandGraph graph; + graph.add("moe_group_routes_live_rows", + {selected, tiles, count, grouped, mapping, budget}, + MoeGroupParams{rows, TopK, Tile, Experts, 3, 5, 0}, {1, 1, 1}, {SPLASH_MOE_EXPERT_SLOTS, 1, 1}); + static_cast(backend.submitCommandAsync(graph.dispatches()).wait()); + const auto &dispatch = *static_cast(count.contents()); + const uint32_t tileCount = dispatch.tiles; + require(dispatch.gate_up_grid[0] == 3 && dispatch.gate_up_grid[1] == tileCount && + dispatch.gate_up_grid[2] == 1 && dispatch.down_grid[0] == 5 && + dispatch.down_grid[1] == tileCount && dispatch.down_grid[2] == 1, + "live expert indirect grids differ from compacted tile count"); + const auto *descriptors = static_cast(tiles.contents()); + const auto *routes = static_cast(grouped.contents()); + const auto *routeRows = static_cast(mapping.contents()); + std::array actual{}; + uint32_t expectedTiles = 0; + for (uint32_t n : expected) expectedTiles += (n + Tile - 1) / Tile; + require(tileCount == expectedTiles, "production live tile count is incorrect"); + for (uint32_t tile = 0; tile < tileCount; ++tile) { + require(descriptors[tile].expert <= Experts, "invalid grouped expert"); + actual[descriptors[tile].expert] += descriptors[tile].rows; + } + require(actual == expected, "production live route counts differ"); + for (uint32_t row = 0; row < rows; ++row) { + for (uint32_t slot = 0; slot < Routes; ++slot) { + const uint32_t route = row * Routes + slot; + if (row % Rows >= limits[row / Rows].count) { + require(routeRows[route] == 0xffffffffu, "inactive production route survived"); + } else { + require(routeRows[route] < tileCount * Tile && + routes[routeRows[route]] == route && + descriptors[routeRows[route] / Tile].expert == ids[route], + "production live route mapping does not round-trip"); + } + } + } + } + } + } +} + +void acceptance(MetalBackend &backend) { + Sampling sampling(1024); + for (uint32_t lanes = 1; lanes <= 4; ++lanes) { + AcceptanceBuffers b{ + allocate(backend, lanes * Positions * sizeof(uint32_t)), + allocate(backend, lanes * Positions * Candidates * sizeof(uint32_t)), + allocate(backend, lanes * Positions * Candidates * sizeof(float)), + allocate(backend, lanes * Rows * sizeof(TargetVocabularyRow)), + allocate(backend, lanes * SPLASH_SAMPLING_UNIFORMS * sizeof(float)), + allocate(backend, lanes * Rows * sizeof(uint32_t)), + allocate(backend, lanes * sizeof(uint32_t)), + allocate(backend, lanes * sizeof(uint32_t)), + allocate(backend, DraftSelector::liveRowsBytes(lanes))}; + auto *draft = static_cast(b.proposedTokens.contents()); + auto *ids = static_cast(b.candidates.contents()); + auto *q = static_cast(b.proposalProbabilities.contents()); + auto *target = static_cast(b.targetVocabularyRows.contents()); + auto *tokens = static_cast(b.outputTokens.contents()); + auto *limits = static_cast(b.liveRows.contents()); + std::vector policies(lanes); + std::vector remaining(lanes); + for (uint32_t lane = 0; lane < lanes; ++lane) { + policies[lane].temperature = lane % 2 ? 0.8F : 0.0F; + for (uint32_t p = 0; p < Positions; ++p) { + draft[lane * Positions + p] = 10 + p; + ids[(lane * Positions + p) * Candidates] = 10 + p; + q[(lane * Positions + p) * Candidates] = 1.0F; + target[lane * Rows + p].draft_probability = 1.0F; + } + } + for (uint32_t live = 1; live <= Rows; ++live) { + for (uint32_t reject = 0; reject <= Positions; ++reject) { + for (uint32_t cap : {1U, 3U, Rows}) { + for (uint32_t lane = 0; lane < lanes; ++lane) { + limits[lane].count = live; + remaining[lane] = cap; + const uint32_t limit = policies[lane].samples() ? Rows : live; + for (uint32_t r = 0; r < Rows; ++r) { + tokens[lane * Rows + r] = r < limit ? 10 + r : 0xffffffffu; + target[lane * Rows + r].draft_probability = r < reject ? 1.0F : 0.0F; + } + if (reject < limit - 1) tokens[lane * Rows + reject] = 777; + } + CommandGraph graph; + sampling.addAcceptance(graph, b, remaining, policies, 999, 998); + static_cast(backend.submitCommandAsync(graph.dispatches()).wait()); + const auto *retained = static_cast(b.retainedCounts.contents()); + const auto *accepted = static_cast(b.acceptedCounts.contents()); + for (uint32_t lane = 0; lane < lanes; ++lane) { + const uint32_t proposals = policies[lane].samples() ? Positions : live - 1; + const uint32_t expected = std::min(reject, proposals); + require(accepted[lane] == expected, "acceptance crossed the live-row limit"); + require(retained[lane] == std::min(expected + 1, cap), "retention crossed the live-row limit"); + for (uint32_t r = 0; r < retained[lane]; ++r) + require(tokens[lane * Rows + r] < 1024, "inactive token escaped acceptance"); + } + } + } + // A stop token in the accepted prefix still cuts retention immediately. + for (uint32_t lane = 0; lane < lanes; ++lane) { + limits[lane].count = live; + remaining[lane] = Rows; + for (uint32_t r = 0; r < Rows; ++r) { + tokens[lane * Rows + r] = 10 + r; + target[lane * Rows + r].draft_probability = 1.0F; + } + } + CommandGraph stop; + sampling.addAcceptance(stop, b, remaining, policies, 10, 11); + static_cast(backend.submitCommandAsync(stop.dispatches()).wait()); + for (uint32_t lane = 0; lane < lanes; ++lane) + require(static_cast(b.retainedCounts.contents())[lane] == 1, + "live acceptance ignored a stop token"); + } + } +} +} // namespace + +int main(int argc, char **argv) { + try { + require(argc == 2, "usage: live-verify-rows METALLIB"); + MetalBackend backend(argv[1]); + confidence(backend); + grouping(backend); + acceptance(backend); + std::cout << "live_verify_rows_metal_test: PASS\n"; + return 0; + } catch (const std::exception &error) { + std::cerr << "live_verify_rows_metal_test: FAIL: " << error.what() << '\n'; + return 1; + } +} diff --git a/dev/tests/engine/model_execution_plan_test.cpp b/dev/tests/engine/model_execution_plan_test.cpp index e6f9e070c..8c8808d83 100644 --- a/dev/tests/engine/model_execution_plan_test.cpp +++ b/dev/tests/engine/model_execution_plan_test.cpp @@ -4,6 +4,7 @@ #include "model/RuntimeArenas.hpp" #include "metal/abi/QuantFormat.h" +#include "metal/abi/LiveRows.h" #include #include @@ -140,6 +141,10 @@ void checkGateUpLayers() { void checkLaneScratch(const model::LoadedModel &loaded) { const auto geometry = model::RuntimeGeometry::from(loaded, kv::Format::Int8, ops::GdnStateFormat::Float32); const auto &d = geometry.draft; + const ops::ExecutionPlans defaultPlans(DeviceCapabilities{}); + const auto sizes = model::decodeTensorBytes(geometry, defaultPlans); + require(sizes[static_cast(model::DecodeTensor::LiveRows)] == sizeof(VerifyLiveRows), + "decode memory plan omitted live-row metadata"); std::vector matrices{ {d.dynamicSize, d.hiddenSize}, {d.qkvSize, d.hiddenSize}, {d.contextKvSize(), d.hiddenSize}, {d.hiddenSize, d.attentionSize}, diff --git a/dev/tests/engine/model_runtime_oracle_test.mm b/dev/tests/engine/model_runtime_oracle_test.mm index d31427a83..189d05235 100644 --- a/dev/tests/engine/model_runtime_oracle_test.mm +++ b/dev/tests/engine/model_runtime_oracle_test.mm @@ -2272,18 +2272,26 @@ int main(int argc, char **argv) { bool imagesOnly = false, warmupEosOnly = false; kv::Format format = kv::Format::Int8; ops::GdnStateFormat stateFormat = ops::GdnStateFormat::Float32; + float liveVerifyThreshold = 0.0F; std::optional givenAneFfnShare; // The evaluation of the split's program that fails, counted from 1 as // ane::ProgramInstrumentation counts them; 0 for none. uint64_t aneFfnFault = 0; if (argc < 3) fail("usage: model-runtime-oracle METALLIB MODEL_ROOT [--kv-format int8|bf16] [--state-format fp32|bf16] " - "[--ane-ffn-share SHARE] [--ane-ffn-fault EVALUATION]"); + "[--ane-ffn-share SHARE] [--ane-ffn-fault EVALUATION] [--live-verify-threshold Q]"); for (int i = 3; i < argc; ++i) { const std::string_view option(argv[i]); if (option == "--images-only") imagesOnly = true; else if (option == "--warmup-eos-only") warmupEosOnly = true; - else if (option == "--kv-format" && i + 1 < argc) { + else if (option == "--live-verify-threshold" && i + 1 < argc) { + size_t consumed = 0; + const std::string value(argv[++i]); + liveVerifyThreshold = std::stof(value, &consumed); + if (consumed != value.size() || !std::isfinite(liveVerifyThreshold) || + liveVerifyThreshold < 0.0F || liveVerifyThreshold > 1.0F) + fail("invalid live verify threshold"); + } else if (option == "--kv-format" && i + 1 < argc) { const std::string_view value(argv[++i]); if (value != "int8" && value != "bf16") fail("invalid KV format"); format = value == "int8" ? kv::Format::Int8 : kv::Format::BFloat16; @@ -2472,6 +2480,7 @@ MemoryGovernor governor(backend, elasticGrowthCeiling, hostReserveBytes, return 0; } model::Runtime &executor = *runtime; + executor.setLiveVerifyThreshold(liveVerifyThreshold); // Warmup runs on the KV runway and never allocates: without it, after // actual state activation, warmupPrefill fails and cleans up. pages.releaseExtent(0); diff --git a/runtime/metal/abi/LiveRows.h b/runtime/metal/abi/LiveRows.h new file mode 100644 index 000000000..c2bde0afa --- /dev/null +++ b/runtime/metal/abi/LiveRows.h @@ -0,0 +1,23 @@ +#pragma once + +#include "metal/abi/ExecutionGeometry.h" +#ifndef __METAL_VERSION__ +#include +#endif + +// GPU-produced budget of one lane's fixed eight-row verify block. Row zero +// is always live. Confidence is a heuristic, never an acceptance probability. +struct VerifyLiveRows { + uint32_t count; + float prefix_confidence[SPLASH_DRAFT_PROPOSAL_TOKENS]; +}; +static_assert(sizeof(VerifyLiveRows) == 32, + "Verify live rows are 32 bytes on both sides"); + +struct DraftLiveRowsParams { + uint32_t lanes; + uint32_t sampling_mask; + float threshold; +}; +static_assert(sizeof(DraftLiveRowsParams) == 12, + "Draft live-row parameters are 12 bytes on both sides"); diff --git a/runtime/metal/kernels/decode/sampling.metal b/runtime/metal/kernels/decode/sampling.metal index bb753ae67..5f395bb23 100644 --- a/runtime/metal/kernels/decode/sampling.metal +++ b/runtime/metal/kernels/decode/sampling.metal @@ -1,4 +1,5 @@ #include "metal/abi/KernelABI.h" +#include "metal/abi/LiveRows.h" #include "metal/kernels/common/split_reduce.h" // The rows of the target policy. A greedy lane takes each row's argmax. A @@ -1367,6 +1368,71 @@ kernel void draft_select_dflash( } } +// Confidence of the actual selected path, regardless of how it was selected. +// This uses the edge tables, not the sampled acceptance buffer, so greedy +// metadata never overwrites q and an alternative selector needs no special ABI. +kernel void draft_verify_live_rows( + device const uint *candidates [[buffer(0)]], + device const float *unary [[buffer(1)]], + device const float *partial_values [[buffer(2)]], + device const uint *tokens [[buffer(3)]], + device VerifyLiveRows *live_rows [[buffer(4)]], + constant DraftLiveRowsParams ¶ms [[buffer(5)]], + uint batch [[thread_position_in_grid]]) { + constexpr uint Positions = SPLASH_DRAFT_PROPOSAL_TOKENS; + constexpr uint Candidates = SPLASH_DRAFT_CANDIDATES; + device VerifyLiveRows &budget = live_rows[batch]; + budget.count = SPLASH_TARGET_VERIFY_ROWS; + // Sample-dependent truncation is not a distribution-preserving stopping + // rule. Keep the original sampled path, including in mixed batches. + if (params.sampling_mask & (1u << batch)) { + for (uint p = 0; p < Positions; ++p) + budget.prefix_confidence[p] = 1.0f; + return; + } + candidates += batch * Positions * Candidates; + unary += batch * Positions * Candidates; + tokens += batch * Positions; + device const float *tables = partial_values + + params.lanes * Positions * SPLASH_DRAFT_SAMPLING_SHARDS * Candidates + + batch * Positions * Candidates * Candidates; + uint predecessor = 0; + uint rows = 1; + float prefix = 1.0f; + bool valid = true; + for (uint p = 0; p < Positions; ++p) { + device const float *edges = tables + (p * Candidates + predecessor) * Candidates; + float scores[Candidates]; + float maximum = -INFINITY; + uint chosen = Candidates; + for (uint c = 0; c < Candidates; ++c) { + scores[c] = unary[p * Candidates + c] + edges[c]; + valid = valid && !isnan(scores[c]) && scores[c] != INFINITY; + maximum = max(maximum, scores[c]); + if (chosen == Candidates && candidates[p * Candidates + c] == tokens[p]) + chosen = c; + } + if (chosen == Candidates || !isfinite(maximum)) { + valid = false; + chosen = 0; + } + float sum = 0.0f; + for (uint c = 0; c < Candidates; ++c) + sum += exp(scores[c] - maximum); + const float q = exp(scores[chosen] - maximum) / sum; + valid = valid && isfinite(q); + prefix *= clamp(q, 0.0f, 1.0f); + budget.prefix_confidence[p] = isfinite(prefix) ? prefix : 1.0f; + // Only extend a contiguous prefix. A zero threshold retains all rows, + // including prefixes whose confidence underflowed to zero. + if (rows == p + 1 && (params.threshold == 0.0f || prefix >= params.threshold)) + ++rows; + predecessor = chosen; + } + // Invalid confidence must never hide a target failure or read stale tables. + budget.count = valid ? rows : SPLASH_TARGET_VERIFY_ROWS; +} + inline float sparse_lookup(device const uint *ids, device const float *probabilities, uint count, uint token) { @@ -1382,6 +1448,7 @@ struct AcceptParams { uint remaining; uint stop_token_0; uint stop_token_1; + uint proposals; }; // Keeps at most params.remaining of the accepted tokens plus the correction, @@ -1415,7 +1482,7 @@ inline void accept_sampled_lane(device const uint *draft_tokens, device uint &accepted_count, AcceptParams params) { uint accepted = 0; - while (accepted < SPLASH_DRAFT_PROPOSAL_TOKENS) { + while (accepted < params.proposals) { uint token = draft_tokens[accepted]; float q = sparse_lookup(draft_ids + accepted * kDraftCandidates, draft_probs + accepted * kDraftCandidates, @@ -1587,7 +1654,7 @@ inline void accept_greedy_lane(device const uint *draft_tokens, device uint &accepted_count, AcceptParams params) { uint accepted = 0; - while (accepted < SPLASH_DRAFT_PROPOSAL_TOKENS && + while (accepted < params.proposals && draft_tokens[accepted] == target_tokens[accepted]) { ++accepted; } @@ -1595,20 +1662,20 @@ inline void accept_greedy_lane(device const uint *draft_tokens, accepted_count); } -kernel void decode_accept_dflash( - device const uint *draft_tokens [[buffer(0)]], - device const uint *draft_ids [[buffer(1)]], - device const float *draft_probs [[buffer(2)]], - device const TargetVocabularyRow *target_rows [[buffer(3)]], - device const float *uniforms [[buffer(4)]], - device uint *target_tokens [[buffer(5)]], - device uint *retained [[buffer(6)]], - device uint *accepted_count [[buffer(7)]], - constant AcceptBatchParams ¶ms [[buffer(8)]], - uint batch [[threadgroup_position_in_grid]]) { - uint remaining = params.remaining[batch]; +inline void accept_lane( + device const uint *draft_tokens, + device const uint *draft_ids, + device const float *draft_probs, + device const TargetVocabularyRow *target_rows, + device const float *uniforms, + device uint *target_tokens, + device uint *retained, + device uint *accepted_count, + constant AcceptBatchParams ¶ms, + uint batch, uint rows) { + uint remaining = min(params.remaining[batch], rows); AcceptParams lane_params{remaining, params.stop_token_0, - params.stop_token_1}; + params.stop_token_1, rows - 1}; device const uint *lane_draft = draft_tokens + batch * SPLASH_DRAFT_PROPOSAL_TOKENS; device uint *lane_target = @@ -1626,3 +1693,38 @@ kernel void decode_accept_dflash( accepted_count[batch], lane_params); } } + +kernel void decode_accept_dflash( + device const uint *draft_tokens [[buffer(0)]], + device const uint *draft_ids [[buffer(1)]], + device const float *draft_probs [[buffer(2)]], + device const TargetVocabularyRow *target_rows [[buffer(3)]], + device const float *uniforms [[buffer(4)]], + device uint *target_tokens [[buffer(5)]], + device uint *retained [[buffer(6)]], + device uint *accepted_count [[buffer(7)]], + constant AcceptBatchParams ¶ms [[buffer(8)]], + uint batch [[threadgroup_position_in_grid]]) { + accept_lane(draft_tokens, draft_ids, draft_probs, target_rows, uniforms, + target_tokens, retained, accepted_count, params, batch, + SPLASH_TARGET_VERIFY_ROWS); +} + +kernel void decode_accept_dflash_live_rows( + device const uint *draft_tokens [[buffer(0)]], + device const uint *draft_ids [[buffer(1)]], + device const float *draft_probs [[buffer(2)]], + device const TargetVocabularyRow *target_rows [[buffer(3)]], + device const float *uniforms [[buffer(4)]], + device uint *target_tokens [[buffer(5)]], + device uint *retained [[buffer(6)]], + device uint *accepted_count [[buffer(7)]], + device const VerifyLiveRows *live_rows [[buffer(8)]], + constant AcceptBatchParams ¶ms [[buffer(9)]], + uint batch [[threadgroup_position_in_grid]]) { + const uint rows = params.sampling_mask & (1u << batch) + ? SPLASH_TARGET_VERIFY_ROWS + : clamp(live_rows[batch].count, 1u, SPLASH_TARGET_VERIFY_ROWS); + accept_lane(draft_tokens, draft_ids, draft_probs, target_rows, uniforms, + target_tokens, retained, accepted_count, params, batch, rows); +} diff --git a/runtime/metal/kernels/shared/moe.metal b/runtime/metal/kernels/shared/moe.metal index 39cdb6f7a..54a42f49f 100644 --- a/runtime/metal/kernels/shared/moe.metal +++ b/runtime/metal/kernels/shared/moe.metal @@ -1,4 +1,5 @@ #include "metal/abi/KernelABI.h" +#include "metal/abi/LiveRows.h" #include "metal/kernels/common/activation.h" #include "metal/kernels/common/gguf_sgmatrix.h" #include "metal/kernels/common/moe_expert_slab.h" @@ -121,33 +122,57 @@ kernel void moe_route_select_f32( // (moe_matmul_rows) carry the route ~0u. One threadgroup covers all routes // and thread e owns expert e's count, offsets and tile descriptors. The // shared expert's tiles follow the routed tiles and hold every row in order. -// It writes the tile count with the expert passes' grids (MoeTileCount). -// In place (a plan whose rows fill one tile) each expert gets one tile of the -// plan's rows: a route's grouped row is its expert tile's row of the route's -// own row, and the routed tiles' grouped routes go unwritten, as no gather -// reads them. -kernel void moe_group_routes( - device const uint *selected [[buffer(0)]], - device MoeTileDescriptor *tiles [[buffer(1)]], - device MoeTileCount *tile_count [[buffer(2)]], - device uint *grouped_routes [[buffer(3)]], - device uint *route_rows [[buffer(4)]], - constant MoeGroupParams ¶ms [[buffer(5)]], - uint thread_index [[thread_index_in_threadgroup]], - uint simd_lane [[thread_index_in_simdgroup]], - uint simd_group [[simdgroup_index_in_threadgroup]]) { +inline bool verify_row_live(uint row, device const VerifyLiveRows *live_rows) { + const uint lane = row / SPLASH_TARGET_VERIFY_ROWS; + return row % SPLASH_TARGET_VERIFY_ROWS < + clamp(live_rows[lane].count, 1u, SPLASH_TARGET_VERIFY_ROWS); +} + +struct MoeGroupScratch { + atomic_uint counts[SPLASH_MOE_EXPERT_SLOTS]; + atomic_uint cursors[SPLASH_MOE_EXPERT_SLOTS]; + uint tile_offsets[SPLASH_MOE_EXPERT_SLOTS]; + uint simd_totals[SPLASH_MOE_EXPERT_SLOTS / 32]; + uint routed_tiles; + uint live_count; + uint live_indices[SPLASH_MAXIMUM_BATCH_WIDTH * SPLASH_TARGET_VERIFY_ROWS]; +}; + +template +inline void group_routes( + device const uint *selected, device MoeTileDescriptor *tiles, + device MoeTileCount *tile_count, device uint *grouped_routes, + device uint *route_rows, constant MoeGroupParams ¶ms, + device const VerifyLiveRows *live_rows, uint thread_index, + uint simd_lane, uint simd_group, threadgroup MoeGroupScratch &scratch) { constexpr uint Slots = SPLASH_MOE_EXPERT_SLOTS; const uint routes_per_row = params.top_k + 1; const uint routes = params.rows * routes_per_row; - threadgroup atomic_uint counts[Slots]; - threadgroup atomic_uint cursors[Slots]; - threadgroup uint tile_offsets[Slots]; - threadgroup uint simd_totals[Slots / 32]; - threadgroup uint routed_tiles; + threadgroup atomic_uint *counts = scratch.counts; + threadgroup atomic_uint *cursors = scratch.cursors; + threadgroup uint *tile_offsets = scratch.tile_offsets; + threadgroup uint *simd_totals = scratch.simd_totals; + threadgroup uint &routed_tiles = scratch.routed_tiles; + threadgroup uint &live_count = scratch.live_count; + threadgroup uint *live_indices = scratch.live_indices; + if (thread_index == 0) { + live_count = 0; + if constexpr (Live) { + for (uint row = 0; row < params.rows; ++row) + if (verify_row_live(row, live_rows)) + live_indices[live_count++] = row; + } else { + live_count = params.rows; + } + } atomic_store_explicit(&counts[thread_index], 0u, memory_order_relaxed); atomic_store_explicit(&cursors[thread_index], 0u, memory_order_relaxed); threadgroup_barrier(mem_flags::mem_threadgroup); for (uint route = thread_index; route < routes; route += Slots) { + if constexpr (Live) { + if (!verify_row_live(route / routes_per_row, live_rows)) + continue; + } if (route % routes_per_row != params.top_k) { atomic_fetch_add_explicit(&counts[selected[route]], 1u, memory_order_relaxed); @@ -181,6 +206,12 @@ kernel void moe_group_routes( } threadgroup_barrier(mem_flags::mem_threadgroup); for (uint route = thread_index; route < routes; route += Slots) { + if constexpr (Live) { + if (!verify_row_live(route / routes_per_row, live_rows)) { + route_rows[route] = ~0u; + continue; + } + } if (route % routes_per_row == params.top_k) continue; uint expert = selected[route]; @@ -196,20 +227,23 @@ kernel void moe_group_routes( } const uint shared_tiles = - (params.rows + params.tile_rows - 1) / params.tile_rows; + (live_count + params.tile_rows - 1) / params.tile_rows; const uint shared_base = routed_tiles * params.tile_rows; const uint shared_rows = (shared_tiles - 1) * params.tile_rows + - moe_matmul_rows(params.rows - (shared_tiles - 1) * params.tile_rows, + moe_matmul_rows(live_count - (shared_tiles - 1) * params.tile_rows, params.tile_rows); for (uint tile = thread_index; tile < shared_tiles; tile += Slots) { tiles[routed_tiles + tile] = MoeTileDescriptor{ params.experts, - min(params.tile_rows, params.rows - tile * params.tile_rows)}; + min(params.tile_rows, live_count - tile * params.tile_rows)}; } for (uint row = thread_index; row < shared_rows; row += Slots) { - if (row < params.rows) { - uint route = row * routes_per_row + params.top_k; + if (row < live_count) { + uint source = row; + if constexpr (Live) + source = live_indices[row]; + uint route = source * routes_per_row + params.top_k; grouped_routes[shared_base + row] = route; route_rows[route] = shared_base + row; } else { @@ -223,6 +257,37 @@ kernel void moe_group_routes( } } +kernel void moe_group_routes( + device const uint *selected [[buffer(0)]], + device MoeTileDescriptor *tiles [[buffer(1)]], + device MoeTileCount *tile_count [[buffer(2)]], + device uint *grouped_routes [[buffer(3)]], + device uint *route_rows [[buffer(4)]], + constant MoeGroupParams ¶ms [[buffer(5)]], + uint thread_index [[thread_index_in_threadgroup]], + uint simd_lane [[thread_index_in_simdgroup]], + uint simd_group [[simdgroup_index_in_threadgroup]]) { + threadgroup MoeGroupScratch scratch; + group_routes(selected, tiles, tile_count, grouped_routes, route_rows, + params, nullptr, thread_index, simd_lane, simd_group, scratch); +} + +kernel void moe_group_routes_live_rows( + device const uint *selected [[buffer(0)]], + device MoeTileDescriptor *tiles [[buffer(1)]], + device MoeTileCount *tile_count [[buffer(2)]], + device uint *grouped_routes [[buffer(3)]], + device uint *route_rows [[buffer(4)]], + device const VerifyLiveRows *live_rows [[buffer(5)]], + constant MoeGroupParams ¶ms [[buffer(6)]], + uint thread_index [[thread_index_in_threadgroup]], + uint simd_lane [[thread_index_in_simdgroup]], + uint simd_group [[simdgroup_index_in_threadgroup]]) { + threadgroup MoeGroupScratch scratch; + group_routes(selected, tiles, tile_count, grouped_routes, route_rows, + params, live_rows, thread_index, simd_lane, simd_group, scratch); +} + // Copies each grouped row's input so every expert tile is a dense matrix, // over the rows its matmul reads (moe_matmul_rows): padding rows among them // are zero and their outputs are never read. @@ -333,3 +398,32 @@ kernel void moe_combine( } output[ulong(row) * params.hidden_size + dimension] = bfloat(value); } + +kernel void moe_combine_live_rows( + device const bfloat *expert_output [[buffer(0)]], + device const uint *route_rows [[buffer(1)]], + device const float *routing_weights [[buffer(2)]], + device const bfloat *residual [[buffer(3)]], + device bfloat *output [[buffer(4)]], + device const VerifyLiveRows *live_rows [[buffer(5)]], + constant MoeCombineParams ¶ms [[buffer(6)]], + uint2 group [[threadgroup_position_in_grid]], + uint thread_index [[thread_index_in_threadgroup]]) { + uint row = group.x; + uint dimension = group.y * 256 + thread_index; + if (row >= params.rows || dimension >= params.hidden_size) + return; + float value = float(residual[ulong(row) * params.hidden_size + dimension]); + if (!verify_row_live(row, live_rows)) { + output[ulong(row) * params.hidden_size + dimension] = bfloat(value); + return; + } + ulong route = ulong(row) * params.routes_per_row; + for (uint slot = 0; slot < params.routes_per_row; ++slot) { + value += routing_weights[route + slot] * + float(expert_output[ulong(route_rows[route + slot]) * + params.hidden_size + + dimension]); + } + output[ulong(row) * params.hidden_size + dimension] = bfloat(value); +} diff --git a/runtime/model/Model.hpp b/runtime/model/Model.hpp index c2fc7f228..0228a4e1e 100644 --- a/runtime/model/Model.hpp +++ b/runtime/model/Model.hpp @@ -521,6 +521,9 @@ struct ModelTelemetry final { uint64_t embeddingCacheBytes = 0; uint64_t stateHeldImageBytes = 0; uint64_t imageRowsBytes = 0; + uint32_t lastDecodeWidth = 0; + // Rows allowed to run experts in the last decode; full rows by default. + uint32_t lastDecodeLiveRows = 0; uint64_t constrainedMaskOverlapBatches = 0; uint64_t constrainedMaskOverlapRequests = 0; // Prefill chunks the GPU ran again alone once the Neural Engine split's diff --git a/runtime/model/QwenTarget.cpp b/runtime/model/QwenTarget.cpp index 1b9eca0ae..ab1c67794 100644 --- a/runtime/model/QwenTarget.cpp +++ b/runtime/model/QwenTarget.cpp @@ -468,7 +468,7 @@ void QwenTarget::addVerifyFfn(VerifyStep &step, const Qwen3_6MoeLayerWeights &la const QwenTargetVerifyBuffers &b = step.buffers; ops::Normalization::addRms(step.graph, residual, layer.postAttentionNorm, b.normalized, geometry_.hiddenSize, step.rows); - ops::MoE::add(step.graph, {b.normalized, residual, output, b.moe}, layer.ffn, *step.moe); + ops::MoE::add(step.graph, {b.normalized, residual, output, b.moe, b.liveRows}, layer.ffn, *step.moe); } void QwenTarget::addHeadBatch(metal::CommandGraph &graph, metal::MetalBuffer hidden, diff --git a/runtime/model/QwenTarget.hpp b/runtime/model/QwenTarget.hpp index b62b9a7d3..3935b2c55 100644 --- a/runtime/model/QwenTarget.hpp +++ b/runtime/model/QwenTarget.hpp @@ -243,6 +243,7 @@ struct QwenTargetVerifyBuffers final { std::array pageTables; ops::MoeScratch moe; + metal::MetalBuffer liveRows{}; }; template diff --git a/runtime/model/Runtime.cpp b/runtime/model/Runtime.cpp index bd6345678..94036048e 100644 --- a/runtime/model/Runtime.cpp +++ b/runtime/model/Runtime.cpp @@ -6,6 +6,7 @@ #include "metal/CommandGraph.hpp" #include "metal/abi/GDN.h" +#include "metal/abi/LiveRows.h" #include "ops/AneFfn.hpp" #include "ops/Linear.hpp" #include "ops/PagedAttention.hpp" @@ -22,6 +23,7 @@ #include #include #include +#include #include #include #include @@ -308,6 +310,7 @@ struct Runtime::Impl { // The draft proposals the lane's thinking end replaced, which its // speculation counts leave out. uint32_t endDrafts = 0; + bool liveVerify = false; // Why the lane's selection is unusable (invalidSelection), found before // any lane commits. std::string failure; @@ -365,6 +368,7 @@ struct Runtime::Impl { ops::Sampling sampling; QwenTarget targetModel; DFlashDraft draftModel; + float liveVerifyThreshold = 0.0F; ops::AneFfn *aneFfn; explicit Impl(RuntimeContext value) : backend(value.backend), @@ -424,6 +428,11 @@ struct Runtime::Impl { sampling.addVerify(graph, policies, samplingBuffers(2), geometry.target.stopTokens[0], geometry.target.stopTokens[1], penalties); + // Greedy warmup may take live acceptance. Sampled and constrained + // requests still need the ordinary acceptance pipeline ready at startup. + const std::array retained{kDecodeRows, kDecodeRows}; + sampling.addAcceptance(graph, acceptanceBuffers(2, false), retained, policies, + geometry.target.stopTokens[0], geometry.target.stopTokens[1]); backend.preparePipelines(graph.dispatches()); } @@ -1599,6 +1608,20 @@ struct Runtime::Impl { } } + bool useLiveVerifyRows(std::span entries) const noexcept { + return liveVerifyThreshold > 0.0F && + geometry.target.ffnKind == QwenFfnKind::SparseMoe && + std::any_of(entries.begin(), entries.end(), [](const Request *entry) { + return entry->sampling.temperature <= 0.0F; + }) && + std::none_of(entries.begin(), entries.end(), [](const Request *entry) { + // Forced thinking-end tokens are not predictions. Preserve the + // existing full-block transition when a budget ends in this cycle. + const auto cutoff = samplingPolicy(*entry).thinkingCutoff; + return entry->constraint != ConstraintMode::None || (cutoff && cutoff->row < kDecodeRows); + }); + } + void encodeDraftBatchGraph(CommandGraph &graph, std::span entries, std::span logicalPositions) { @@ -1651,16 +1674,20 @@ struct Runtime::Impl { anchors[lane] = *entry.pendingToken; policies[lane] = samplingPolicy(entry); } - draftModel.addSelection( - graph, - {d(DecodeTensor::Logits), d(DecodeTensor::TopPartialIds), + const ops::DraftSelectorBuffers selection{ + d(DecodeTensor::Logits), d(DecodeTensor::TopPartialIds), d(DecodeTensor::TopPartialValues), d(DecodeTensor::Candidates), d(DecodeTensor::Unary), d(DecodeTensor::SelectorHidden), d(DecodeTensor::SamplingUniforms), d(DecodeTensor::ProposedTokens), - d(DecodeTensor::ProposalProbs)}, - std::span(anchors).first(lanes), std::span(policies).first(lanes)); + d(DecodeTensor::ProposalProbs)}; + draftModel.addSelection(graph, selection, std::span(anchors).first(lanes), + std::span(policies).first(lanes)); sampling.addThinkingDrafts(graph, std::span(policies).first(lanes), d(DecodeTensor::ProposedTokens)); + if (useLiveVerifyRows(entries)) + ops::DraftSelector(geometry.target.vocabularySize).addLiveRows( + graph, selection, d(DecodeTensor::LiveRows), + std::span(policies).first(lanes), liveVerifyThreshold); } void encodeTargetVerifyBatchForward(CommandGraph &graph, @@ -1706,6 +1733,7 @@ struct Runtime::Impl { buffers.chunkKeys = chunkKeys; buffers.chunkValues = chunkValues; buffers.moe = decodeArena->moeScratch(storage); + if (useLiveVerifyRows(entries)) buffers.liveRows = d(DecodeTensor::LiveRows); for (uint32_t lane = 0; lane < lanes; ++lane) chunks[lane] = ops::PagedAttention::verifyParams( items[lane].logicalPosition, @@ -1785,6 +1813,18 @@ struct Runtime::Impl { std::span(startPositions).first(lanes)); } + ops::AcceptanceBuffers acceptanceBuffers(uint32_t width, bool live) const { + return {decodeArena->batchSlice(DecodeTensor::ProposedTokens, width), + decodeArena->batchSlice(DecodeTensor::Candidates, width), + decodeArena->batchSlice(DecodeTensor::ProposalProbs, width), + decodeArena->batchSlice(DecodeTensor::TargetVocabularyRows, width), + decodeArena->batchSlice(DecodeTensor::SamplingUniforms, width), + decodeArena->batchSlice(DecodeTensor::OutputTokens, width), + decodeArena->batchSlice(DecodeTensor::RetainedCount, width), + decodeArena->batchSlice(DecodeTensor::AcceptedCount, width), + live ? decodeArena->batchSlice(DecodeTensor::LiveRows, width) : MetalBuffer{}}; + } + void encodeBatchAcceptance(CommandGraph &graph, std::span lanes, std::span maximumRetained) { @@ -1803,14 +1843,7 @@ struct Runtime::Impl { const uint32_t width = static_cast(lanes.size()); sampling.addAcceptance( graph, - {decodeArena->batchSlice(DecodeTensor::ProposedTokens, width), - decodeArena->batchSlice(DecodeTensor::Candidates, width), - decodeArena->batchSlice(DecodeTensor::ProposalProbs, width), - decodeArena->batchSlice(DecodeTensor::TargetVocabularyRows, width), - decodeArena->batchSlice(DecodeTensor::SamplingUniforms, width), - decodeArena->batchSlice(DecodeTensor::OutputTokens, width), - decodeArena->batchSlice(DecodeTensor::RetainedCount, width), - decodeArena->batchSlice(DecodeTensor::AcceptedCount, width)}, + acceptanceBuffers(width, useLiveVerifyRows(lanes)), maximumRetained, std::span(policies).first(width), geometry.target.stopTokens[0], geometry.target.stopTokens[1]); } @@ -1925,6 +1958,16 @@ struct Runtime::Impl { emitTerminalAnchor(entry, result); } + counters.lastDecodeWidth = static_cast(items.size()); + counters.lastDecodeLiveRows = counters.lastDecodeWidth * kDecodeRows; + if (lanes.front().liveVerify) { + const auto *budgets = contents( + decodeArena->batchSlice(DecodeTensor::LiveRows, counters.lastDecodeWidth), + "live verify rows"); + counters.lastDecodeLiveRows = 0; + for (uint32_t lane = 0; lane < counters.lastDecodeWidth; ++lane) + counters.lastDecodeLiveRows += budgets[lane].count; + } counters.lastDecodeGpuSeconds = timing.gpuSeconds; counters.totalDecodeGpuSeconds += timing.gpuSeconds; counters.lastDecodeWallSeconds = timing.wallSeconds; @@ -2119,6 +2162,12 @@ Runtime::~Runtime() = default; void Runtime::checkHealth() { impl_->backend.checkHealth(); } +void Runtime::setLiveVerifyThreshold(float threshold) { + if (!std::isfinite(threshold) || threshold < 0.0F || threshold > 1.0F) + throw std::invalid_argument("live verify threshold must be in [0, 1]"); + impl_->liveVerifyThreshold = threshold; +} + void Runtime::beginColdRequest(const ModelRequest &request, uint32_t stateLane) { if (const StateAdmission admission = beginAt(request, stateLane); !admission.granted()) { @@ -2616,6 +2665,7 @@ Runtime::decodeAsync(const BatchPlan &plan, } const std::span entries(requests.data(), width); + for (auto &lane : lanes) lane.liveVerify = impl_->useLiveVerifyRows(entries); const uint32_t ropeRows = width * kDecodeRows; CommandGraph commandGraph; impl_->addRopeTables( @@ -3047,7 +3097,16 @@ ModelMemoryPlan plannedRuntimeMemory(const LoadedModel &model, } std::unique_ptr createRuntime(RuntimeContext context) { - return std::make_unique(std::move(context)); + float threshold = 0.0F; + if (const char *value = std::getenv("SPLASH_LIVE_VERIFY_THRESHOLD")) { + char *end = nullptr; + threshold = std::strtof(value, &end); + if (end == value || *end || !std::isfinite(threshold) || threshold < 0.0F || threshold > 1.0F) + throw std::invalid_argument("SPLASH_LIVE_VERIFY_THRESHOLD must be a number in [0, 1]"); + } + auto runtime = std::make_unique(std::move(context)); + runtime->setLiveVerifyThreshold(threshold); + return runtime; } } // namespace splash::model diff --git a/runtime/model/Runtime.hpp b/runtime/model/Runtime.hpp index 33280404d..bf90070b4 100644 --- a/runtime/model/Runtime.hpp +++ b/runtime/model/Runtime.hpp @@ -13,6 +13,10 @@ class Runtime final : public RuntimeModel { explicit Runtime(RuntimeContext context); ~Runtime() override; void checkHealth() override; + // Opt-in experimental greedy MoE verification. Zero retains the original + // graph; sampled, constrained and dense requests retain full verification. + // Configure before submitting work; no ticket may be in flight. + void setLiveVerifyThreshold(float threshold); [[nodiscard]] uint32_t statesToActivate() const noexcept override; Runtime(const Runtime &) = delete; diff --git a/runtime/model/RuntimeArenas.cpp b/runtime/model/RuntimeArenas.cpp index 2f0f45f81..bb97e8f5f 100644 --- a/runtime/model/RuntimeArenas.cpp +++ b/runtime/model/RuntimeArenas.cpp @@ -268,6 +268,7 @@ decodeTensorBytes(const RuntimeGeometry &geometry, put(DecodeTensor::TopPartialIds, selectorWorkspace.partialIdsBytes); put(DecodeTensor::TopPartialValues, selectorWorkspace.partialValuesBytes); put(DecodeTensor::ProposalProbs, selectorWorkspace.proposalProbabilitiesBytes); + put(DecodeTensor::LiveRows, ops::DraftSelector::liveRowsBytes(1)); put(DecodeTensor::ProposedTokens, bytesFor(kDraftProposalTokens)); put(DecodeTensor::PageTable, bytesFor(kMaximumPageTableEntries)); put(DecodeTensor::PenaltyState, diff --git a/runtime/model/RuntimeArenas.hpp b/runtime/model/RuntimeArenas.hpp index 391ad9f66..ab6c47df8 100644 --- a/runtime/model/RuntimeArenas.hpp +++ b/runtime/model/RuntimeArenas.hpp @@ -245,6 +245,7 @@ enum class DecodeTensor : uint32_t { TopPartialIds, TopPartialValues, ProposalProbs, + LiveRows, ProposedTokens, PageTable, // Indexed by state lane, like PageTable: a penalized request's penalty diff --git a/runtime/ops/DraftSelector.cpp b/runtime/ops/DraftSelector.cpp index b6bd597b8..cf3b7d3a6 100644 --- a/runtime/ops/DraftSelector.cpp +++ b/runtime/ops/DraftSelector.cpp @@ -1,10 +1,13 @@ #include "ops/DraftSelector.hpp" #include "metal/abi/Sampling.h" +#include "metal/abi/LiveRows.h" #include "ops/BufferExtent.hpp" +#include #include #include +#include namespace splash::ops { namespace { @@ -34,6 +37,37 @@ DraftSelectorWorkspace DraftSelector::workspace(uint32_t positions) { candidates * sizeof(float)}; } +uint64_t DraftSelector::liveRowsBytes(uint32_t lanes) { + if (!lanes || lanes > SPLASH_MAXIMUM_BATCH_WIDTH) + throw std::invalid_argument("invalid live-row batch width"); + return uint64_t{lanes} * sizeof(VerifyLiveRows); +} + +void DraftSelector::addLiveRows( + metal::CommandGraph &graph, const DraftSelectorBuffers &buffers, + metal::MetalBuffer liveRows, std::span policies, + float threshold) const { + if (policies.empty() || policies.size() > SPLASH_MAXIMUM_BATCH_WIDTH || + !std::isfinite(threshold) || threshold < 0.0F || threshold > 1.0F) + throw std::invalid_argument("invalid live-row threshold or batch"); + const uint32_t lanes = static_cast(policies.size()); + const auto required = workspace(lanes * kPositions); + if (liveRows.sizeBytes() < liveRowsBytes(lanes) || + buffers.candidates.sizeBytes() < required.candidatesBytes || + buffers.unary.sizeBytes() < required.unaryBytes || + buffers.partialValues.sizeBytes() < required.partialValuesBytes || + buffers.proposedTokens.sizeBytes() < uint64_t{lanes} * kPositions * sizeof(uint32_t)) + throw std::invalid_argument("live-row buffers are smaller than the batch"); + DraftLiveRowsParams params{lanes, 0, threshold}; + for (uint32_t lane = 0; lane < lanes; ++lane) + if (policies[lane].samples() || policies[lane].constrained) + params.sampling_mask |= uint32_t{1} << lane; + graph.add("draft_verify_live_rows", + {buffers.candidates, buffers.unary, buffers.partialValues, + buffers.proposedTokens, std::move(liveRows)}, + params, {lanes, 1, 1}, {1, 1, 1}); +} + void DraftSelector::add(metal::CommandGraph &graph, const DraftSelectorBuffers &buffers, const DraftCodebooks &codebooks, diff --git a/runtime/ops/DraftSelector.hpp b/runtime/ops/DraftSelector.hpp index 7474af1a6..337eb8b73 100644 --- a/runtime/ops/DraftSelector.hpp +++ b/runtime/ops/DraftSelector.hpp @@ -49,11 +49,21 @@ class DraftSelector final { // Exact scratch/output bytes for that many proposal positions. [[nodiscard]] static DraftSelectorWorkspace workspace(uint32_t positions); + [[nodiscard]] static uint64_t liveRowsBytes(uint32_t lanes); void add(metal::CommandGraph &graph, const DraftSelectorBuffers &buffers, const DraftCodebooks &codebooks, std::span anchors, std::span policies) const; + // After selection, estimate confidence along the actual chosen path and + // budget a live prefix on the GPU. Sampling lanes always keep all rows: + // stopping based on a sampled proposal would change its distribution. + void addLiveRows(metal::CommandGraph &graph, + const DraftSelectorBuffers &buffers, + metal::MetalBuffer liveRows, + std::span policies, + float threshold) const; + private: uint32_t vocabulary_ = 0; }; diff --git a/runtime/ops/MoE.cpp b/runtime/ops/MoE.cpp index 1d4c5bedc..15f054e5d 100644 --- a/runtime/ops/MoE.cpp +++ b/runtime/ops/MoE.cpp @@ -1,4 +1,5 @@ #include "ops/MoE.hpp" +#include "metal/abi/LiveRows.h" #include "metal/abi/ExecutionGeometry.h" #include "metal/abi/Gguf.h" @@ -146,7 +147,7 @@ void addExperts(metal::CommandGraph &graph, const MoeScratch &scratch, const Blo // register tile runs 8-row tiles. MoePlan::MoePlan(MoeShape shape, uint32_t rows, MoeConfig config, MoePhase phase) - : shape_(shape), rows_(rows), config_(config) { + : shape_(shape), rows_(rows), config_(config), phase_(phase) { if (phase == MoePhase::Decode && config.expertTile != MoeExpertTile::M8) throw std::invalid_argument("invalid MoE expert tile configuration"); if (config.ggufTile == MoeGgufTile::Register && config.expertTile != MoeExpertTile::M8) @@ -167,6 +168,10 @@ void MoE::add(metal::CommandGraph &graph, const MoeBuffers &buffers, requireBytes(buffers.input, hiddenRows, "MoE input"); requireBytes(buffers.residual, hiddenRows, "MoE residual"); requireBytes(buffers.output, hiddenRows, "MoE output"); + const bool live = bool(buffers.liveRows); + if (live && (plan.phase() != MoePhase::Decode || + buffers.liveRows.sizeBytes() < uint64_t{rows / SPLASH_TARGET_VERIFY_ROWS} * sizeof(VerifyLiveRows))) + throw std::invalid_argument("invalid MoE live-row buffer or phase"); const MoeScratch &scratch = buffers.scratch; for (const MoeScratchField &field : kMoeScratchFields) requireBytes(scratch.*field.buffer, required.*field.bytes, field.name); @@ -187,13 +192,16 @@ void MoE::add(metal::CommandGraph &graph, const MoeBuffers &buffers, // 30 live ones; the rest return at once yet cost a 40-core M5 Max 0.8-4.1% // of a decode cycle, a 12-core M6 0.1-1.0% and a 40-core M3 Max up to 4.8%. const bool oneGateUp = oneGateUpPass(weights, plan); + // A one-lane live prefix keeps the original row positions, so it can + // retain the in-place tile and avoid a gather even when experts are pruned. const MoeGroupParams group{rows, shape.expertsPerToken, tileRows, shape.experts, shape.expertIntermediateSize / (oneGateUp ? GGUF_STAGED_COLUMNS : GGUF_TILE_COLUMNS), shape.hiddenSize / GGUF_TILE_COLUMNS, plan.rowsInPlace()}; - graph.add("moe_group_routes", - {scratch.selectedExperts, scratch.tileDescriptors, - scratch.tileCount, scratch.groupedRoutes, scratch.routeRows}, - group, {1, 1, 1}, {SPLASH_MOE_EXPERT_SLOTS, 1, 1}); + std::vector grouping{scratch.selectedExperts, scratch.tileDescriptors, + scratch.tileCount, scratch.groupedRoutes, scratch.routeRows}; + if (live) grouping.push_back(buffers.liveRows); + graph.add(live ? "moe_group_routes_live_rows" : "moe_group_routes", + std::move(grouping), group, {1, 1, 1}, {SPLASH_MOE_EXPERT_SLOTS, 1, 1}); const MoeGatherParams gather{tileRows, shape.hiddenSize, shape.routesPerToken()}; if (plan.configuration().ggufTile == MoeGgufTile::Register) graph.add("moe_gather_table16", @@ -206,9 +214,12 @@ void MoE::add(metal::CommandGraph &graph, const MoeBuffers &buffers, scratch.tileCount, scratch.groupedInput}, gather, {tiles, shape.hiddenSize / 256, 1}); addExperts(graph, scratch, weights, plan, group, group.in_place ? buffers.input : scratch.groupedInput); - graph.add("moe_combine", - {scratch.expertOutput, scratch.routeRows, scratch.routingWeights, - buffers.residual, buffers.output}, + std::vector combine{ + scratch.expertOutput, scratch.routeRows, scratch.routingWeights, + buffers.residual, buffers.output}; + if (live) combine.push_back(buffers.liveRows); + graph.add(live ? "moe_combine_live_rows" : "moe_combine", + std::move(combine), MoeCombineParams{rows, shape.hiddenSize, shape.routesPerToken()}, {rows, shape.hiddenSize / 256, 1}); } diff --git a/runtime/ops/MoE.hpp b/runtime/ops/MoE.hpp index b50899b2c..d56441492 100644 --- a/runtime/ops/MoE.hpp +++ b/runtime/ops/MoE.hpp @@ -195,6 +195,7 @@ class MoePlan final { public: [[nodiscard]] MoeShape shape() const noexcept { return shape_; } [[nodiscard]] uint32_t rows() const noexcept { return rows_; } + [[nodiscard]] MoePhase phase() const noexcept { return phase_; } [[nodiscard]] MoeConfig configuration() const noexcept { return config_; } [[nodiscard]] uint32_t tileRows() const noexcept { return static_cast(config_.expertTile); @@ -221,6 +222,7 @@ class MoePlan final { MoeShape shape_; uint32_t rows_; MoeConfig config_; + MoePhase phase_; uint32_t maximumTiles_; MoeWorkspace workspace_; }; @@ -230,6 +232,8 @@ struct MoeBuffers final { metal::MetalBuffer residual; metal::MetalBuffer output; MoeScratch scratch; + // Optional GPU-produced VerifyLiveRows per decode lane; prefill omits it. + metal::MetalBuffer liveRows{}; }; // Routes and executes grouped experts from immutable weight views. diff --git a/runtime/ops/Sampling.cpp b/runtime/ops/Sampling.cpp index 58d3f29fc..026a7e0b9 100644 --- a/runtime/ops/Sampling.cpp +++ b/runtime/ops/Sampling.cpp @@ -1,6 +1,7 @@ #include "ops/Sampling.hpp" #include "metal/abi/Sampling.h" +#include "metal/abi/LiveRows.h" #include "ops/BufferExtent.hpp" #include @@ -393,12 +394,17 @@ void Sampling::addAcceptance( sizeof(float), "acceptance uniform"); } - graph.add("decode_accept_dflash", - {buffers.proposedTokens, buffers.candidates, - buffers.proposalProbabilities, buffers.targetVocabularyRows, - buffers.uniforms, buffers.outputTokens, buffers.retainedCounts, - buffers.acceptedCounts}, - params, {lanes, 1, 1}, {1, 1, 1}); + std::vector acceptance{ + buffers.proposedTokens, buffers.candidates, buffers.proposalProbabilities, + buffers.targetVocabularyRows, buffers.uniforms, buffers.outputTokens, + buffers.retainedCounts, buffers.acceptedCounts}; + if (buffers.liveRows) { + if (buffers.liveRows.sizeBytes() < uint64_t{lanes} * sizeof(VerifyLiveRows)) + throw std::invalid_argument("acceptance live-row buffer is too small"); + acceptance.push_back(buffers.liveRows); + } + graph.add(buffers.liveRows ? "decode_accept_dflash_live_rows" : "decode_accept_dflash", + std::move(acceptance), params, {lanes, 1, 1}, {1, 1, 1}); } } // namespace splash::ops diff --git a/runtime/ops/Sampling.hpp b/runtime/ops/Sampling.hpp index bd0a74c5f..c01d81ced 100644 --- a/runtime/ops/Sampling.hpp +++ b/runtime/ops/Sampling.hpp @@ -133,6 +133,7 @@ struct AcceptanceBuffers final { metal::MetalBuffer outputTokens; metal::MetalBuffer retainedCounts; metal::MetalBuffer acceptedCounts; + metal::MetalBuffer liveRows{}; }; // Target token policy (penalties, min-p/top-k/top-p, constrained selection, From 18949645feb59a19bdac1f7f51a14c98f03800c4 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 21:42:11 +0530 Subject: [PATCH 02/22] Trace ordinary decode commands and benchmark live-prefix policies --- dev/benchmarks/decode_profile.mm | 187 +++++++++++++++++++---- dev/benchmarks/verification_sweep.py | 156 +++++++++++++++++++ dev/tests/engine/metal_backend_test.mm | 27 ++++ runtime/metal/BackendInstrumentation.hpp | 18 +++ runtime/metal/MetalBackend.mm | 60 ++++++++ 5 files changed, 420 insertions(+), 28 deletions(-) create mode 100644 dev/benchmarks/verification_sweep.py diff --git a/dev/benchmarks/decode_profile.mm b/dev/benchmarks/decode_profile.mm index 3609db039..8a8ea55ed 100644 --- a/dev/benchmarks/decode_profile.mm +++ b/dev/benchmarks/decode_profile.mm @@ -1,7 +1,7 @@ // Per-kernel GPU time attribution for the production executor. // // decode-profile METALLIB MODEL_ROOT [--prompt-tokens N] [--cycles K] [--kv-format int8|bf16] -// [--state-format fp32|bf16] +// [--state-format fp32|bf16] [--live-verify-threshold Q] // decode-profile METALLIB MODEL_ROOT --images HxW[,HxW...] [--cycles K] // // Drives the real model runtime with Metal dispatch profiling enabled, so @@ -15,6 +15,7 @@ // x width in patches), fused and then attributed. #include "engine/Types.hpp" +#include "AwakeClock.hpp" #include "model/Runtime.hpp" #include "ops/PageStorage.hpp" #include "ops/Vision.hpp" @@ -33,9 +34,12 @@ #include #include #include +#include #include #include #include +#include +#include #include #include #include @@ -222,11 +226,11 @@ void profileImages(metal::MetalBackend &backend, }; void prefill(model::Runtime &executor, Lane &lane, - std::span prompt) { + std::span prompt, uint32_t generatedBudget) { EngineRequest request; request.id = lane.id; request.prompt.assign(prompt.begin(), prompt.end()); - request.maxNewTokens = 256; + request.maxNewTokens = generatedBudget; executor.beginColdRequest(request.modelView(), lane.stateLane); uint32_t offset = 0; while (offset < prompt.size()) { @@ -254,6 +258,14 @@ void prefill(model::Runtime &executor, Lane &lane, double gpuSeconds = 0.0; double wallSeconds = 0.0; uint64_t commands = 0; + uint32_t liveRows = 0; + uint32_t tokens = 0; + uint32_t proposed = 0; + uint32_t accepted = 0; + std::array survival{}; + double start = 0.0; + double end = 0.0; + std::vector trace; }; CycleTiming decodeCycle(metal::MetalBackend &backend, @@ -261,7 +273,7 @@ CycleTiming decodeCycle(metal::MetalBackend &backend, std::span lanes) { const uint64_t submissionsBefore = BackendInstrumentation::submittedCommands(backend); - const auto started = std::chrono::steady_clock::now(); + const auto started = AwakeClock::now(); BatchPlan plan; plan.kind = WorkKind::Decode; std::vector items; @@ -273,18 +285,30 @@ CycleTiming decodeCycle(metal::MetalBackend &backend, auto results = executor.decode(plan, items); if (results.size() != lanes.size()) throw std::runtime_error("decode width changed"); + uint32_t tokens = 0; + uint32_t proposed = 0, accepted = 0; + std::array survival{}; for (size_t index = 0; index < lanes.size(); ++index) { if (!results[index].failure.empty()) throw std::runtime_error(results[index].failure); if (results[index].finished) throw std::runtime_error("the answer ended before profiling finished"); + tokens += static_cast(results[index].outputTokens.size()); + proposed += results[index].draftedTokens; + accepted += results[index].acceptedDraftTokens; + for (uint32_t position = 0; position < results[index].acceptedDraftTokens; ++position) + ++survival.at(position); lanes[index].position += results[index].outputTokens.size() - results[index].outputTokensWithoutKv; } - const auto finished = std::chrono::steady_clock::now(); + const auto finished = AwakeClock::now(); return {executor.telemetry().lastDecodeGpuSeconds, std::chrono::duration(finished - started).count(), - BackendInstrumentation::submittedCommands(backend) - submissionsBefore}; + BackendInstrumentation::submittedCommands(backend) - submissionsBefore, + executor.telemetry().lastDecodeLiveRows, tokens, proposed, accepted, survival, + std::chrono::duration(started.time_since_epoch()).count(), + std::chrono::duration(finished.time_since_epoch()).count(), + BackendInstrumentation::takeCommandTrace(backend)}; } } // namespace @@ -292,10 +316,12 @@ CycleTiming decodeCycle(metal::MetalBackend &backend, int main(int argc, char **argv) { @autoreleasepool { try { + std::setvbuf(stdout, nullptr, _IOLBF, 0); if (argc < 3) { std::cerr << "usage: decode-profile METALLIB MODEL_ROOT " "[--prompt-tokens N] [--cycles K] [--kv-format int8|bf16] " - "[--state-format fp32|bf16]\n" + "[--state-format fp32|bf16] [--live-verify-threshold Q] " + "[--attribution on|off] [--json-output PATH] [--trace-output PATH]\n" " decode-profile METALLIB MODEL_ROOT " "--images HxW[,HxW...] [--cycles K]\n"; return 2; @@ -306,6 +332,9 @@ int main(int argc, char **argv) { ops::GdnStateFormat stateFormat = ops::GdnStateFormat::Float32; std::vector grids; bool textOptions = false; + float liveVerifyThreshold = 0.0F; + bool attribution = true; + std::string jsonPath, tracePath; for (int index = 3; index < argc; index += 2) { const std::string_view option(argv[index]); if (index + 1 >= argc) @@ -315,7 +344,24 @@ int main(int argc, char **argv) { textOptions = true; } else if (option == "--cycles") cycles = parseCount(argv[index + 1], "--cycles"); - else if (option == "--kv-format") { + else if (option == "--live-verify-threshold") { + textOptions = true; + size_t consumed = 0; + const std::string value(argv[index + 1]); + liveVerifyThreshold = std::stof(value, &consumed); + if (consumed != value.size() || !std::isfinite(liveVerifyThreshold) || + liveVerifyThreshold < 0.0F || liveVerifyThreshold > 1.0F) + throw std::invalid_argument("invalid live verify threshold"); + } else if (option == "--attribution") { + const std::string_view value(argv[index + 1]); + if (value != "on" && value != "off") + throw std::invalid_argument("--attribution takes on or off"); + attribution = value == "on"; + textOptions = true; + } else if (option == "--json-output" || option == "--trace-output") { + (option == "--json-output" ? jsonPath : tracePath) = argv[index + 1]; + textOptions = true; + } else if (option == "--kv-format") { const std::string_view value(argv[index + 1]); if (value != "int8" && value != "bf16") throw std::invalid_argument("--kv-format takes int8 or bf16"); @@ -335,6 +381,33 @@ int main(int argc, char **argv) { if (!grids.empty() && textOptions) throw std::invalid_argument("--images takes no other option than --cycles"); + const uint64_t generatedBound = std::max(256, + uint64_t{4} * (uint64_t{cycles} * 2 + 2) * model::ExecutionLimits::targetVerifyRows + 1); + if (uint64_t{promptTokens} + generatedBound + model::ExecutionLimits::targetVerifyRows > + kv::kMaximumPhysicalTokens) + throw std::invalid_argument("profile prompt and cycle budget exceed physical context"); + const uint32_t generatedBudget = static_cast(generatedBound); + std::ofstream json, trace; + if (!jsonPath.empty()) { + json.open(jsonPath); + if (!json) throw std::runtime_error("cannot open JSON output"); + json << std::setprecision(17) << "[\n"; + } + if (!tracePath.empty()) { + trace.open(tracePath); + if (!trace) throw std::runtime_error("cannot open trace output"); + trace << std::setprecision(17) << "{\"traceEvents\":[\n"; + } + bool firstSample = true, firstEvent = true; + const double traceOrigin = std::chrono::duration(AwakeClock::now().time_since_epoch()).count(); + auto event = [&](const char *name, uint32_t tid, double begin, double end) { + if (!trace.is_open() || !std::isfinite(begin) || !std::isfinite(end) || end < begin) return; + trace << (firstEvent ? "" : ",\n") << "{\"name\":\"" << name + << "\",\"ph\":\"X\",\"pid\":1,\"tid\":" << tid + << ",\"ts\":" << (begin - traceOrigin) * 1e6 << ",\"dur\":" << (end - begin) * 1e6 << '}'; + firstEvent = false; + }; + metal::MetalBackend backend(argv[1]); const std::filesystem::path root(argv[2]); if (!grids.empty()) { @@ -349,7 +422,7 @@ int main(int argc, char **argv) { // Enough Page32 pages for four lanes of prompt plus generated rows. const uint32_t pagesPerLane = - (promptTokens + 256 + model::ExecutionLimits::targetVerifyRows) / + (promptTokens + generatedBudget + model::ExecutionLimits::targetVerifyRows) / kv::kPageTokens + 2; // Whole extents of the largest size the pool rule picks, as a large @@ -372,6 +445,8 @@ MemoryGovernor governor( model.stateLayout(stateFormat), nullptr); model::RuntimeContext context{backend, model, pages, states, operators}; model::Runtime executor(context); + executor.setLiveVerifyThreshold(liveVerifyThreshold); + std::printf("live verify threshold %.6g (greedy MoE only)\n", liveVerifyThreshold); std::printf("device %s, %u prompt tokens, %u cycles per width, %s state\n", backend.capabilities().deviceName.c_str(), promptTokens, @@ -385,30 +460,66 @@ MemoryGovernor governor( const std::vector prompt = chatPrompt(promptTokens); // Warm prefill and B1 decode with real work before measuring. - prefill(executor, lanes[0], prompt); + prefill(executor, lanes[0], prompt, generatedBudget); static_cast(decodeCycle(backend, executor, std::span(&lanes[0], 1))); executor.end(lanes[0].id); // Prefill: fused timing first, then the attributed replay. Both cover // every chunk of the prompt. const double prefillBefore = executor.telemetry().totalPrefillGpuSeconds; - prefill(executor, lanes[0], prompt); + prefill(executor, lanes[0], prompt, generatedBudget); const double prefillFused = executor.telemetry().totalPrefillGpuSeconds - prefillBefore; executor.end(lanes[0].id); - BackendInstrumentation::setDispatchProfiling(backend, true); - prefill(executor, lanes[0], prompt); - BackendInstrumentation::setDispatchProfiling(backend, false); - Table prefillTable; - accumulate(prefillTable, - BackendInstrumentation::takeDispatchProfile(backend)); - print("prefill " + std::to_string(promptTokens) + " rows", prefillTable, - 1.0, prefillFused); + if (attribution) { + BackendInstrumentation::setDispatchProfiling(backend, true); + prefill(executor, lanes[0], prompt, generatedBudget); + BackendInstrumentation::setDispatchProfiling(backend, false); + Table prefillTable; + accumulate(prefillTable, + BackendInstrumentation::takeDispatchProfile(backend)); + print("prefill " + std::to_string(promptTokens) + " rows", prefillTable, + 1.0, prefillFused); + } else { + prefill(executor, lanes[0], prompt, generatedBudget); + } auto profileWidth = [&](const char *title, std::span active) { + // Compile each width's pipelines before measuring or tracing it. + static_cast(decodeCycle(backend, executor, active)); + BackendInstrumentation::setCommandTracing(backend, !tracePath.empty()); std::vector fused; for (uint32_t cycle = 0; cycle < cycles; ++cycle) fused.push_back(decodeCycle(backend, executor, active)); + BackendInstrumentation::setCommandTracing(backend, false); + for (uint32_t sample = 0; sample < fused.size(); ++sample) { + const CycleTiming &cycle = fused[sample]; + if (json.is_open()) { + json << (firstSample ? "" : ",\n") << "{\"width\":" << active.size() + << ",\"sample\":" << sample << ",\"prompt_tokens\":" << promptTokens + << ",\"threshold\":" << liveVerifyThreshold + << ",\"gpu_seconds\":" << cycle.gpuSeconds + << ",\"wall_seconds\":" << cycle.wallSeconds + << ",\"commands\":" << cycle.commands << ",\"eligible_rows\":" << cycle.liveRows + << ",\"committed_tokens\":" << cycle.tokens << ",\"proposed_tokens\":" << cycle.proposed + << ",\"accepted_tokens\":" << cycle.accepted << ",\"prefix_survival\":["; + for (uint32_t position = 0; position < cycle.survival.size(); ++position) + json << (position ? "," : "") << cycle.survival[position]; + json << "]}"; + firstSample = false; + } + event(title, 0, cycle.start, cycle.end); + double begin = cycle.start; + for (const metal::CommandTrace &command : cycle.trace) { + event("graph construction", 1, begin, command.prepareStart); + event("backend preparation", 1, command.prepareStart, command.encodeStart); + event("Metal encoding", 1, command.encodeStart, command.commit); + event("GPU execution", 2, command.gpuStart, command.gpuEnd); + event("completion notification", 1, command.gpuEnd, command.complete); + begin = command.complete; + } + event("result finalization", 1, begin, cycle.end); + } std::sort(fused.begin(), fused.end(), [](const CycleTiming &left, const CycleTiming &right) { return left.gpuSeconds < right.gpuSeconds; @@ -418,25 +529,45 @@ MemoryGovernor governor( "command(s) per cycle\n", title, median.gpuSeconds * 1e3, median.wallSeconds * 1e3, static_cast(median.commands)); - BackendInstrumentation::setDispatchProfiling(backend, true); - for (uint32_t cycle = 0; cycle < cycles; ++cycle) - static_cast(decodeCycle(backend, executor, active)); - BackendInstrumentation::setDispatchProfiling(backend, false); - Table table; - accumulate(table, - BackendInstrumentation::takeDispatchProfile(backend)); - print(title, table, cycles, median.gpuSeconds); + uint64_t liveRows = 0, produced = 0; + double wall = 0.0; + for (const CycleTiming &cycle : fused) { + liveRows += cycle.liveRows; + produced += cycle.tokens; + wall += cycle.wallSeconds; + } + std::printf("mean live rows %.2f/%zu, tokens/cycle %.2f, fused wall %.2f tok/s\n", + double(liveRows) / cycles, active.size() * model::ExecutionLimits::targetVerifyRows, + double(produced) / cycles, double(produced) / wall); + if (attribution) { + BackendInstrumentation::setDispatchProfiling(backend, true); + for (uint32_t cycle = 0; cycle < cycles; ++cycle) + static_cast(decodeCycle(backend, executor, active)); + BackendInstrumentation::setDispatchProfiling(backend, false); + Table table; + accumulate(table, + BackendInstrumentation::takeDispatchProfile(backend)); + print(title, table, cycles, median.gpuSeconds); + } }; profileWidth("B1 decode cycle", std::span(&lanes[0], 1)); // Add one lane at a time so M16 and M24 paths are measured too. for (uint32_t index = 1; index < lanes.size(); ++index) { - prefill(executor, lanes[index], prompt); + prefill(executor, lanes[index], prompt, generatedBudget); const std::string title = "B" + std::to_string(index + 1) + " decode cycle"; profileWidth(title.c_str(), std::span(lanes.data(), index + 1)); } for (Lane &lane : lanes) executor.end(lane.id); + if (json.is_open()) { + json << "\n]\n"; + if (!json) throw std::runtime_error("cannot write JSON output"); + } + if (trace.is_open()) { + trace << "\n]}\n"; + if (!trace) throw std::runtime_error("cannot write trace output"); + } return 0; } catch (const std::exception &error) { std::cerr << "decode-profile: " << error.what() << '\n'; diff --git a/dev/benchmarks/verification_sweep.py b/dev/benchmarks/verification_sweep.py new file mode 100644 index 000000000..697d58c41 --- /dev/null +++ b/dev/benchmarks/verification_sweep.py @@ -0,0 +1,156 @@ +"""Measure experimental live verification with ordinary native execution. + +Run as ``python -m dev.benchmarks.verification_sweep --help``. Each threshold +gets an independent off/on/on/off comparison. Native cycles can advance by +different token counts, so use matched HTTP workloads before promoting a policy. +""" + +from __future__ import annotations + +import argparse +import hashlib +import json +import math +import subprocess +from pathlib import Path + +from . import abba + + +def counts(value): + values = [int(part) for part in value.split(",")] + if not values or min(values) < 1: + raise argparse.ArgumentTypeError("counts must be positive") + return values + + +def thresholds(value): + values = [float(part) for part in value.split(",")] + if not values or any(not math.isfinite(v) or not 0 < v <= 1 for v in values): + raise argparse.ArgumentTypeError("thresholds must be in (0, 1]") + return values + + +def environment(): + return { + name: subprocess.check_output(command, text=True).strip() + for name, command in ( + ("power", ["pmset", "-g", "batt"]), + ("thermal", ["pmset", "-g", "therm"]), + ) + } + + +def fingerprint(path): + with path.open("rb") as source: + return { + "path": str(path.resolve()), + "sha256": hashlib.file_digest(source, "sha256").hexdigest(), + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--profile", type=Path, required=True) + parser.add_argument("--metallib", type=Path, required=True) + parser.add_argument("--model-root", type=Path, required=True) + parser.add_argument("--output", type=Path, required=True) + parser.add_argument("--contexts", type=counts, default=[2048]) + parser.add_argument("--thresholds", type=thresholds, default=[0.01, 0.05, 0.1, 0.2]) + parser.add_argument("--cycles", type=int, default=16) + parser.add_argument("--kv-format", choices=["int8", "bf16"], default="int8") + parser.add_argument("--state-format", choices=["fp32", "bf16"], default="fp32") + args = parser.parse_args() + if args.cycles < 1: + parser.error("cycles must be positive") + args.output.mkdir(parents=True, exist_ok=True) + report = { + "model_root": str(args.model_root.resolve()), + "profile": fingerprint(args.profile), + "metallib": fingerprint(args.metallib), + "model_manifest": fingerprint(args.model_root / "model.json"), + "comparisons": [], + } + for context in args.contexts: + for threshold in args.thresholds: + rounds = [] + for index, enabled in enumerate([False, True, True, False], 1): + label = f"c{context}-q{threshold:g}-r{index}" + samples_path = args.output / f"{label}.json" + command = [ + str(args.profile.resolve()), + str(args.metallib.resolve()), + str(args.model_root.resolve()), + "--prompt-tokens", + str(context), + "--cycles", + str(args.cycles), + "--live-verify-threshold", + str(threshold if enabled else 0), + "--attribution", + "off", + "--kv-format", + args.kv_format, + "--state-format", + args.state_format, + "--json-output", + str(samples_path), + ] + command += ["--trace-output", str(args.output / f"{label}-trace.json")] + print(f"{label}: {'on' if enabled else 'off'}", flush=True) + before = environment() + with (args.output / f"{label}.log").open("w") as log: + subprocess.run( + command, + stdout=log, + stderr=subprocess.STDOUT, + check=True, + timeout=1800, + ) + samples = json.loads(samples_path.read_text()) + if len(samples) != args.cycles * 4: + raise RuntimeError(f"{label}: missing native samples") + rounds.append( + {"enabled": enabled, "environment": before, "samples": samples} + ) + comparisons = [] + for width in range(1, 5): + times, eligible, tokens = [], [], [] + for record in rounds: + rows = [row for row in record["samples"] if row["width"] == width] + if any( + row["committed_tokens"] < 1 or row["wall_seconds"] <= 0 + for row in rows + ): + raise RuntimeError( + "invalid native timing or committed token count" + ) + produced = sum(row["committed_tokens"] for row in rows) + times.append(sum(row["wall_seconds"] for row in rows) / produced) + eligible.append( + sum(row["eligible_rows"] for row in rows) / len(rows) + ) + tokens.append(produced / len(rows)) + result = abba.compare(*times) + result.update( + width=width, + tokens_per_cycle=tokens, + eligible_rows_per_cycle=eligible, + ) + comparisons.append(result) + print(f" B{width}: {abba.describe(result)}", flush=True) + report["comparisons"].append( + { + "context": context, + "threshold": threshold, + "rounds": rounds, + "widths": comparisons, + } + ) + (args.output / "summary.json").write_text( + json.dumps(report, indent=2) + "\n" + ) + + +if __name__ == "__main__": + main() diff --git a/dev/tests/engine/metal_backend_test.mm b/dev/tests/engine/metal_backend_test.mm index 71283513c..84e4bd99f 100644 --- a/dev/tests/engine/metal_backend_test.mm +++ b/dev/tests/engine/metal_backend_test.mm @@ -693,6 +693,32 @@ void dispatchProfilingCoversEveryCommand(const std::string &metallibPath) { std::cout << "PASS dispatch profiling covers every command\n"; } +void commandTracingPreservesExecution(const std::string &metallibPath) { + MetalBackend backend(metallibPath); + auto buffer = sharedBuffer(backend, sizeof(uint32_t)); + const uint32_t count = 1, increment = 1; + auto *value = static_cast(buffer.contents()); + *value = 0; + const ComputeDispatch dispatch = addition(buffer, count, increment); + BackendInstrumentation::setCommandTracing(backend, true); + auto ticket = backend.submitCommandAsync({&dispatch, 1}); + const auto timing = ticket.wait(); + const auto trace = BackendInstrumentation::takeCommandTrace(backend); + require(trace.size() == 1 && trace.front().dispatches == 1 && *value == 1, + "tracing changed command execution or lost its completion"); + const auto &sample = trace.front(); + require(sample.prepareStart <= sample.encodeStart && sample.encodeStart <= sample.commit && + sample.commit <= sample.complete && sample.gpuEnd >= sample.gpuStart && + sample.gpuStart >= sample.commit - 0.001 && sample.gpuEnd <= sample.complete + 0.001 && + std::abs(sample.gpuEnd - sample.gpuStart - timing.gpuSeconds) < 1e-6, + "command trace clocks or intervals are inconsistent"); + BackendInstrumentation::setCommandTracing(backend, false); + (void)backend.submitCommandAsync({&dispatch, 1}).wait(); + require(BackendInstrumentation::takeCommandTrace(backend).empty() && *value == 2, + "disabled tracing recorded or changed a command"); + std::cout << "PASS command tracing preserves execution\n"; +} + // Preparing a dispatch compiles its pipeline without submitting anything, so // its submission compiles nothing, and rejects what submission would. void preparedPipelinesCompileAhead(const std::string &metallibPath) { @@ -1761,6 +1787,7 @@ int main(int argc, const char *argv[]) { shutdownLeavesTicketTeardownToTheCommand(argv[1]); shutdownSparesACommandThatCompletes(argv[1]); dispatchProfilingCoversEveryCommand(argv[1]); + commandTracingPreservesExecution(argv[1]); preparedPipelinesCompileAhead(argv[1]); buffersStayResident(argv[1]); infiniteKeepAliveHoldsResidency(argv[1]); diff --git a/runtime/metal/BackendInstrumentation.hpp b/runtime/metal/BackendInstrumentation.hpp index af6c61598..f13cb9700 100644 --- a/runtime/metal/BackendInstrumentation.hpp +++ b/runtime/metal/BackendInstrumentation.hpp @@ -15,6 +15,19 @@ struct DispatchTiming { double gpuSeconds = 0.0; }; +// Host and GPU instants in system mach time, in seconds. A command with +// event steps spans the first through last Metal command buffer. +struct CommandTrace { + uint64_t sequence = 0; + uint64_t dispatches = 0; + double prepareStart = 0.0; + double encodeStart = 0.0; + double commit = 0.0; + double complete = 0.0; + double gpuStart = 0.0; + double gpuEnd = 0.0; +}; + // What tests and benchmarks observe of a MetalBackend beyond its serving // API. Only the instrumented build of MetalBackend.mm // (SPLASH_BACKEND_INSTRUMENTATION) defines these; production binaries never @@ -32,6 +45,11 @@ class BackendInstrumentation final { static void setDispatchProfiling(MetalBackend &backend, bool enabled); [[nodiscard]] static std::vector takeDispatchProfile(MetalBackend &backend); + // Optional ordinary-command tracing; it does not split dispatches or + // wait for additional work. Take only after the measured tickets complete. + static void setCommandTracing(MetalBackend &backend, bool enabled); + [[nodiscard]] static std::vector + takeCommandTrace(MetalBackend &backend); }; } // namespace splash::metal diff --git a/runtime/metal/MetalBackend.mm b/runtime/metal/MetalBackend.mm index c4e1e9066..fd2d8d36e 100644 --- a/runtime/metal/MetalBackend.mm +++ b/runtime/metal/MetalBackend.mm @@ -416,6 +416,17 @@ void checkCommandHealth() { } }; +#ifdef SPLASH_BACKEND_INSTRUMENTATION +struct CommandTraceLog { + std::mutex mutex; + std::vector records; +}; + +double traceSeconds() noexcept { + return std::chrono::duration(AwakeClock::now().time_since_epoch()).count(); +} +#endif + struct CommandTicket::State { std::shared_ptr backend; std::vector> retainedAllocations; @@ -430,6 +441,11 @@ void checkCommandHealth() { std::string error; bool completed = false; bool released = false; +#ifdef SPLASH_BACKEND_INSTRUMENTATION + std::shared_ptr traceLog; + CommandTrace trace; + bool tracePublished = false; +#endif void finishCommand(id command) { auto wallEnd = AwakeClock::now(); @@ -463,6 +479,19 @@ void finishCommand(id command) { error = message.str(); } +#ifdef SPLASH_BACKEND_INSTRUMENTATION + if (traceLog) { + std::lock_guard lock(mutex); + if (!tracePublished) { + tracePublished = true; + trace.complete = traceSeconds(); + trace.gpuStart = gpuStart; + trace.gpuEnd = command.GPUEndTime; + std::lock_guard traceLock(traceLog->mutex); + traceLog->records.push_back(trace); + } + } +#endif finish(timing, std::move(error)); } @@ -584,6 +613,9 @@ explicit Impl(double commandTimeoutSeconds) #ifdef SPLASH_BACKEND_INSTRUMENTATION bool dispatchProfiling = false; std::vector dispatchProfile; + bool commandTracing = false; + double tracePrepareStart = 0.0; + std::shared_ptr traceLog = std::make_shared(); #endif __strong id device = nil; __strong id queue = nil; @@ -803,6 +835,15 @@ CommandTicket commit(std::span dispatches, ticketState->retainedAllocations = std::move(retained); ticketState->sequence = asyncState->beginSubmission(dispatches.size()); +#ifdef SPLASH_BACKEND_INSTRUMENTATION + if (commandTracing) { + ticketState->traceLog = traceLog; + ticketState->trace.sequence = ticketState->sequence; + ticketState->trace.dispatches = dispatches.size(); + ticketState->trace.prepareStart = tracePrepareStart; + ticketState->trace.encodeStart = traceSeconds(); + } +#endif auto failBeforeCommit = [&](std::string message) { markUnhealthy(message); @@ -921,6 +962,10 @@ CommandTicket commit(std::span dispatches, ticketState->finishCommand(completed); }]; residency->use(); +#ifdef SPLASH_BACKEND_INSTRUMENTATION + if (ticketState->traceLog) + ticketState->trace.commit = traceSeconds(); +#endif asyncState->commitSubmission(ticketState->sequence, leading, command, [weakTicket = std::weak_ptr(ticketState)]( id completed) { @@ -1323,6 +1368,9 @@ throw MetalBackendError( } #endif checkEvents(command.events, command.dispatches.size()); +#ifdef SPLASH_BACKEND_INSTRUMENTATION + if (impl_->commandTracing) impl_->tracePrepareStart = traceSeconds(); +#endif Impl::PreparedCommand prepared = impl_->prepare(command.dispatches); return impl_->commit(prepared.dispatches, command.events, std::move(prepared.retainedAllocations), @@ -1392,6 +1440,18 @@ throw MetalBackendError( BackendInstrumentation::takeDispatchProfile(MetalBackend &backend) { return std::exchange(backend.impl_->dispatchProfile, {}); } + +void BackendInstrumentation::setCommandTracing(MetalBackend &backend, bool enabled) { + if (enabled && backend.impl_->dispatchProfiling) + throw MetalBackendError("command tracing requires ordinary execution"); + backend.impl_->commandTracing = enabled; +} + +std::vector +BackendInstrumentation::takeCommandTrace(MetalBackend &backend) { + std::lock_guard lock(backend.impl_->traceLog->mutex); + return std::exchange(backend.impl_->traceLog->records, {}); +} #endif } // namespace splash::metal From fd94e8abe4c296ea5abe21eac924aaf794c88bd6 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 21:42:31 +0530 Subject: [PATCH 03/22] Document Qwen verification design and publish M5 Pro evidence --- DEVELOPMENT.md | 44 + dev/benchmarks/deepinfer-qwen-plan.md | 386 ++ dev/benchmarks/deepinfer-qwen-results.md | 211 + .../qwen-live-verification-m5-pro/README.md | 56 + .../http_workload.py | 264 + .../measurements.json | 4485 +++++++++++++++++ .../native-cycles.csv | 1025 ++++ .../validation.md | 122 + 8 files changed, 6593 insertions(+) create mode 100644 dev/benchmarks/deepinfer-qwen-plan.md create mode 100644 dev/benchmarks/deepinfer-qwen-results.md create mode 100644 dev/benchmarks/results/qwen-live-verification-m5-pro/README.md create mode 100644 dev/benchmarks/results/qwen-live-verification-m5-pro/http_workload.py create mode 100644 dev/benchmarks/results/qwen-live-verification-m5-pro/measurements.json create mode 100644 dev/benchmarks/results/qwen-live-verification-m5-pro/native-cycles.csv create mode 100644 dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 0ee1bca01..7b02d4af7 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -2737,6 +2737,50 @@ version while its layout changes. ### Local benchmarks +Experimental live verification for greedy MoE requests is off by default. +`SPLASH_LIVE_VERIFY_THRESHOLD=0.1 ./splash serve --model ` enables it; +values must be in `[0, 1]`, and zero retains the original graph. Each request +keeps its anchor and a contiguous prefix whose cumulative draft confidence +meets the threshold. Inactive rows contribute no routed or shared expert +routes; matrix tiles can still compute padded rows. Sampled requests, +constrained batches, forced thinking-end cycles and dense targets retain full verification. +The fixed eight-row layout and existing draft files stay compatible. + +To evaluate a threshold, pass `DECODE_PROFILE_ARGS='--live-verify-threshold 0.1'` +to `make benchmark-decode-profile MODEL=`. The profiler reports live +rows, tokens per cycle and fused throughput alongside kernel timings. The +native runtime oracle also accepts `--live-verify-threshold`. Choose a +threshold from end-to-end comparisons on the intended model, device, weight +format and workload; confidence is a heuristic and no speedup is guaranteed. +Dense-row packing needs separate measurements before implementation. + +For ordinary execution without dispatch attribution, add `--attribution off`. +`--json-output PATH` saves each measured cycle's GPU/wall time, committed +tokens, eligible expert rows, proposed/accepted tokens and prefix survival +counts. `--trace-output PATH` saves a Chrome trace with host graph construction, +backend preparation, Metal encoding, GPU execution and result finalization. +Tracing is available only in instrumented benchmark builds. Each width warms +its pipelines before measurement; attributed dispatch replays remain separate +from fused throughput measurements. + +Run an off/on/on/off threshold sweep against one installed model with: + +```sh +.venv/bin/python -m dev.benchmarks.verification_sweep \ + --profile build/engine-tests/decode-profile \ + --metallib build/splash.metallib --model-root /path/to/model \ + --output build/verification-sweep --contexts 2048,8192 --cycles 16 +``` + +The sweep records power and thermal conditions and applies the existing ABBA +noise rule. Native runs may advance through different numbers of output +tokens, so confirm any gain with matched HTTP workloads before selecting a +default. Eligible expert rows do not count the unchanged full-width dense +projections, attention or GDN work. + +See the [local Qwen evaluation](dev/benchmarks/deepinfer-qwen-results.md) for +measured gains, correctness coverage and remaining qualification work. + From a source checkout with the model installed, use the native benchmark for prefill, decode and batch measurements: diff --git a/dev/benchmarks/deepinfer-qwen-plan.md b/dev/benchmarks/deepinfer-qwen-plan.md new file mode 100644 index 000000000..164ed6eff --- /dev/null +++ b/dev/benchmarks/deepinfer-qwen-plan.md @@ -0,0 +1,386 @@ +# DeepInfer lessons and Qwen optimization plan + +Splash should first measure its current execution gaps and evaluate the existing +greedy MoE live-row prototype against the latest runtime. A general rewrite for +variable verification shapes should follow only if measurements justify it. +DeepInfer supplies useful scheduling principles, but its accelerator topology, +model architecture and trained confidence head differ from Splash's. + +Reviewed on October 20, 2026, against these immutable source identities: + +| Source | Revision | +| --- | --- | +| Splash main | `be3b083c5f413673d44e44881042e875e674e333` | +| DeepInfer | `774ce244b87cc0eb8d4b94ab9f5de2ab22049f01` | +| Existing Splash branch `pr-283-live-verify` | `1f82545359898626a84e1e1058253d6bc47f4557` | +| Existing stash on that branch | `440f39ba31e4d10ab260859370f1334f36c063f7` | + +The findings below describe the frozen revisions above. The subsequent +[local implementation and evaluation](deepinfer-qwen-results.md) ports the MoE +prototype to `deepinfer-qwen-eval`, adds native timeline and threshold-sweep +tools, and verifies both installed Qwen families. Threshold 0.1 improves the +qualified MoE measurements; broader HTTP qualification remains inconclusive, +so the feature stays disabled by default. The original branch and stash remain +unchanged. GDN pruning, adaptive policy and scheduler changes remain conditional +on the gates below. + +## Findings confirmed against code + +### Verification has fixed storage and execution shapes on main + +[ExecutionLimits](../../runtime/model/Model.hpp) declares eight draft query +rows, seven proposals, eight target verification rows and four maximum lanes. +[ExecutionGeometry.h](../../runtime/metal/abi/ExecutionGeometry.h) repeats the +host and Metal ABI constants. `Runtime::decodeAsync` explicitly retains this +physical graph even when the remaining output budget is shorter. + +This assumption spans `QwenTarget::addVerify`, `Linear::decodePlan`, +`GDN::addDecode`, `PagedAttention::verifyParams`, `MoE::decodePlan`, sampling, +and the decode arena. Linear validation accepts decode row counts in multiples +of eight; the GDN shader maps eight SIMD groups onto verification rows. + +Reducing `maximumRetained` alone changes output retention, not target compute. +Supporting arbitrary compact row counts would therefore be an operator and ABI +change, rather than a scheduler setting. + +Sources: [Runtime.cpp](../../runtime/model/Runtime.cpp), +[QwenTarget.cpp](../../runtime/model/QwenTarget.cpp), +[Linear.cpp](../../runtime/ops/Linear.cpp), +[GDN.cpp](../../runtime/ops/GDN.cpp), +[PagedAttention.cpp](../../runtime/ops/PagedAttention.cpp), +[Sampling.cpp](../../runtime/ops/Sampling.cpp), +[RuntimeArenas.hpp](../../runtime/model/RuntimeArenas.hpp). + +### The existing branch already implements selective MoE work + +Commit `80ea673` on `pr-283-live-verify` adds: + +- `VerifyLiveRows`, a GPU-produced count and prefix-confidence vector per lane. +- `DraftSelector::addLiveRows` and the `draft_verify_live_rows` shader. +- MoE route grouping and combination that exclude inactive suffix rows, + including their shared-expert routes. +- Acceptance restricted to the selected prefix, plus live-row telemetry, + benchmark switches and focused Metal tests. + +The implementation preserves eight-row storage and dense projections. It can +still remove real work: excluding expert routes reduces expert computation and +may reduce the number of expert tiles. Savings depend on tile occupancy and +expert overlap. + +Its policy is deliberately limited to unconstrained sparse MoE batches with +greedy lanes. Sampled lanes remain full width, constrained batches and dense +targets bypass it, and threshold zero disables it. Its confidence is derived +from the selector's candidate and edge scores; it is explicitly a heuristic, +not a trained acceptance predictor. + +Inspect the frozen branch with `git show 1f82545:PATH`, particularly +`runtime/metal/abi/LiveRows.h`, `runtime/ops/DraftSelector.cpp`, +`runtime/metal/kernels/decode/sampling.metal`, +`runtime/metal/kernels/shared/moe.metal`, and +`dev/tests/engine/live_verify_rows_metal_test.mm`. + +### The stashed GDN pruning needs a redesign for current main + +The stash adds live-prefix GDN execution and tests against the former +`GDN::addCommit` implementation. Current main instead keeps per-step GDN tapes; +the next step folds the previous step's retained rows into its incoming state. +`QwenStateStorage::swapDecodeParity` records those pending rows. + +The stashed implementation and tests provide design material, but cannot be +transplanted as whole files. A new implementation must preserve pending-tape +consumption, convolution carry, tape ownership, and snapshot materialization. +It must also support main's FP32 and BF16 state storage. + +Sources: [GdnTapeLane](../../runtime/ops/GDN.hpp), +[GDN decode shader](../../runtime/metal/kernels/decode/gdn.metal), +[QwenState.cpp](../../runtime/model/QwenState.cpp). + +### Asynchronous submission exists and some host work already overlaps + +`MetalBackend::submitCommandAsync` returns a completion ticket. +`Engine::tick` processes control events while a batch is pending, but waits +for that batch before applying its results and selecting another batch. +`Scheduler::next` also refuses a plan while `active_` exists. + +Unconstrained decoding already combines draft, target verification, acceptance +and draft-context commit into one submitted graph. Constrained decoding has a +separate ticket that launches target forward while the host obtains grammar +masks. Describing Splash as lacking asynchronous execution or mask overlap +would be incorrect. + +The remaining opportunity is to reduce preparation between batches, or prepare +safe portions of future work during execution. Device-side state transitions +would be needed for a more aggressive pipeline that starts the next decode +before CPU acceptance processing. + +Sources: [Engine.cpp](../../runtime/engine/Engine.cpp), +[Scheduler.cpp](../../runtime/engine/Scheduler.cpp), +[`Runtime::decodeAsync` and `ConstrainedDecodeTicket`](../../runtime/model/Runtime.cpp). + +### Profiling and prefill adaptation already exist + +`decode-profile` measures fused GPU and wall time at B1 through B4 and can +attribute dispatch time. `/status` exposes both `decode_wall_ms` and +`decode_cycle_ms`; the latter includes time between commands. Existing +optimization notes already describe this distinction. + +Dispatch attribution submits each dispatch separately and waits, so it changes +execution. Use ordinary fused execution and HTTP measurements for throughput; +use attribution to identify expensive operators. Wall time minus GPU time is +an aggregate overhead estimate, not a measurement of pure CPU scheduling cost. + +Prefill already uses an exponential estimate of milliseconds per token, halves +contended row budgets toward a 500 ms target, and stops at 64 rows. It also +accounts for priority, starvation prevention, and decode time owed. The +remaining cost-model gap is that `observePrefill(rows, milliseconds)` has no +explicit context-length or execution-path features. + +Sources: [decode_profile.mm](decode_profile.mm), +[BackendInstrumentation.hpp](../../runtime/metal/BackendInstrumentation.hpp), +[prior optimization measurements](remaining-decode-optimizations.md), +[Scheduler.cpp](../../runtime/engine/Scheduler.cpp). + +### MoE fusion and reproducibility tests are established foundations + +`MoE::add` already groups routes and launches expert passes through indirect +grids containing live tiles. Compatible staged GGUF paths combine gate and up +projections. Broadly proposing grouped or fused MoE would duplicate existing +work. Further changes need a measured routing, padding, intermediate-memory or +expert-kernel bottleneck. + +The model oracle already checks same-graph lane equivalence, permuted lanes, +multiple batch widths, restore, preemption, sampled reproducibility and mask +overlap. It explicitly treats B1 versus B4 output equality as diagnostic because +different numerical graphs can change acceptance and subsequent tokens. +Request-local random streams do not establish exact batch invariance. + +Sources: [MoE.cpp](../../runtime/ops/MoE.cpp), +[model_runtime_oracle_test.mm](../../dev/tests/engine/model_runtime_oracle_test.mm), +[target_sampling_metal_test.mm](../../dev/tests/engine/target_sampling_metal_test.mm). + +## DeepInfer mechanisms that transfer + +DeepInfer's [MTPVarlen scheduler][deepinfer-policy] selects a total query budget +using expected output and measured forward/sampler costs. It separates older +confidence used to select that budget from more recent confidence used for +per-request allocation. The source explicitly prevents later draft confidence +from influencing whether an earlier draft is verified. Its +[device allocator][deepinfer-allocation] distributes rows using cumulative +probabilities. These are stronger semantics than a single probability cutoff. + +Its [worker pipeline][deepinfer-worker] launches current forward before +processing previous results. GPU correction carries previous sampled tokens, +acceptance counts and metadata into the new step. Copying the CPU loop alone +would not reproduce this behavior in Splash. + +The [DeepInfer draft][deepinfer-draft] loads a trained confidence projection. +Splash's current `DFlashDraftWeights` and loader have a selector projection and +codebooks but no equivalent acceptance-confidence head. Any new head would +require compatible training and checkpoint support. + +DeepInfer's [release scope][deepinfer-readme] is offline DeepSeek inference on +Linux with NVIDIA SM100 or Ascend 950 hardware. Its production cache service +is not fully included. Its [deployment Q&A][deepinfer-qa] describes approximate +SWA replay tied to its architecture and gives a low-concurrency example where +dynamic verification loses throughput. Neither its replay method nor its +reported speedups should be assumed to transfer to Qwen on a Mac. + +## Implementation sequence + +### Step 1 Measure the current runtime + +Extend the existing benchmark tools before changing scheduling or kernel policy. +Record ordinary fused cycle time, GPU time, committed output tokens, acceptance +by draft position, and CPU preparation/completion intervals. Keep token counters +distinct: proposed, eligible for verification, actually verified, accepted, and +committed. The old branch's live-row count describes eligibility, not all rows +executed by its unchanged target operators. + +Add optional timestamp tracing around engine result application, planning, +resource preparation, runtime graph construction, Metal submission and +completion. Use GPU timing or an aligned device trace to confirm idle gaps; +host completion notifications can arrive after GPU work ends. Trace constrained +mask waits and ANE event waits separately. + +Use `decode_cycle_ms` for serving comparisons and retain `decode_wall_ms` for +command timing. Preserve the existing interpretation of both metrics. + +Deliverables: benchmark JSON/CSV, a CPU/GPU timeline, and a bottleneck table for +each model and batch width. This determines whether host work, verification +suffixes, attention, or expert execution deserves the next optimization. + +### Step 2 Reuse the greedy MoE prototype on current main + +Create an isolated branch or worktree from reviewed main. Port the narrowly +scoped logic from `80ea673` and its tests; retain the original branch and stash. +Reconcile it with current MoE indirect grids, quantization support, sampling +contracts and arena accounting. Keep it experimental and disabled by default. + +Preserve the fixed eight-row ABI, the eight-row draft and the sampled/constrained +fallback. Start with the MoE family. Excluding expert routes can save work +without introducing arbitrary matrix row counts across every operator. + +Sweep threshold zero and a small candidate set, for example 0.01, 0.05, 0.1 and +0.2, as experimental values. Measure expert tiles, expert time, cycle time and +committed tokens per second. Reducing eligible rows alone is insufficient. + +Gate: the disabled path matches baseline behavior, invalid confidence falls +back safely, live prefixes preserve token and state accounting, and selected +settings improve complete serving runs beyond measured noise. If shorter +prefixes reduce useful tokens more than execution time, stop or revise policy. + +### Step 3 Adapt GDN pruning to pending tapes when profiling justifies it + +Use the stash as a reference for selective row arithmetic and test intent. +Implement against main's `GdnTapeLane`, not the removed explicit commit path. +Keep maximum tape capacity and address geometry stable initially. + +The current step must consume all previously retained pending rows even when +its own eligible prefix is shorter. Its output tape must contain every row a +future retention or snapshot can consume. Inactive outputs and any prepared +tables read by full-width consumers need defined contents. Preserve barriers +when inactive SIMD groups skip arithmetic. + +Test transitions such as previous/current lengths 8/1, 1/8 and mixed per-lane +lengths, every retained prefix, both state formats, lane permutations, snapshot, +disk restore and preemption. Port applicable tests from the stash, then add +pending-tape-specific cases against an independent recurrence reference. + +Gate: live outputs and materialized committed state match the reference under +the existing numerical contract, and a complete decode cycle improves. A GDN +kernel win alone does not justify enabling it. + +### Step 4 Select a policy using measured costs + +Begin with benchmark-selected fixed settings per model/device/workload and a +full-width fallback. Then evaluate a cost-aware choice using only information +available to the scheduling decision. Compare against both fixed eight-row +verification and the best fixed experimental setting. + +Optimize committed tokens per total cycle time, including draft generation, +target work, selection overhead and host coordination. Estimate prefix survival +from held-out observations; selector probability is only a candidate feature. +Evaluate calibration separately for code, prose, temperature and quantization. + +For a future curve cache, key by device family and core count, model/draft +identity, quantization, KV/state formats, kernel build and relevant execution +settings. Include context buckets and bounded online updates where measurements +show they matter. Start with benchmark artifacts before adding persistent +runtime calibration or startup work. + +Keep adaptive truncation greedy-only initially. Sample-dependent truncation can +bias generation. Extending it to sampling requires a reviewed rule governing +which information may influence each prefix decision, correct proposal and +residual distributions, and statistical validation. DeepInfer's separate budget +and allocation inputs are a useful reference, not a correctness proof for +Splash's selector. A fixed seed is not a distribution-preservation test. + +Gate: held-out serving runs beat the best fixed policy without oscillation or +material latency regressions. Otherwise retain the measured fixed setting. + +### Step 5 Reduce measured host overhead + +This work depends on Step 1, independently of the verification prototype. +First evaluate immutable graph-description reuse, reusable host containers and +cached execution plans or binding templates. Runtime-dependent pointers, +positions, page-table revisions and state parity must remain current. + +Only then evaluate preparation overlap while the existing batch runs. Separate +preparation from mutations of the shared decode arena and request state. +Invalidate prepared work after cancellation, resource changes, mask responses, +or a different acceptance result. Queue admission and request priority must not +be committed from stale assumptions. + +Launching a next decode before CPU result application is a separate, larger +project. It requires device-resident token/length propagation, explicit arena +ownership and potentially additional buffers. Measure the memory cost before +adopting it on constrained Macs. + +Gate: a shorter measured inter-command gap produces a serving improvement; +cancel/deadline, mask overlap, cache restore, page lifetime and memory-pressure +tests remain correct. Preserve state transitions on the engine thread. + +### Step 6 Improve mixed prefill and decode latency + +Extend the current timing estimator only after collecting prediction errors +by new-row count, history length, target family and ANE use. Model actual +ragged batches rather than only the leading request. Try a small bucketed +estimator before a more complicated fitted model. + +Retain priority, overtaking bounds, decode debt, the row ceiling and conservative +fallbacks for insufficient samples. Measure p50/p95 time to first token and +streaming gaps while a long prompt arrives beside decoding requests. Include +cold, cached and resumed prompts; do not fit restore or image costs as ordinary +text prefill without distinguishing them. + +Gate: lower contended latency without starvation or a throughput regression +outside the existing benchmark tolerance. Choose any revised latency target +from these measurements rather than importing a cluster budget. + +## Conditional followups + +Dense target compaction and true 2/4/8-row matrix plans follow only if fixed +storage with selective work leaves a measured bottleneck. Keep draft geometry, +target logical rows, physical strides and padded matrix tiles distinct. A +two-row logical plan padded to eight arithmetic rows may save little. + +Any such change spans linear plans and kernels, GDN, attention and KV staging, +head selection, sampling, captured hidden states, draft-context commit and arena +extents. Prove end-to-end behavior first in a B1 four-row target experiment, +then qualify B2/B3/B4 and other lengths. Avoid changing the shared draft constant +to simulate a shorter target. Dense and MoE results require separate decisions. + +Further MoE fusion needs operator attribution and memory-traffic evidence. +Exact batch invariance needs an explicit product requirement and a separate +numerical/performance design. Neither is a prerequisite for testing live rows. + +Lower-bit KV is a separate quality and capacity experiment. Qwen GDN state +cannot be replaced by DeepInfer's bounded SWA suffix replay. Distributed expert +replication, RDMA and prefill/decode disaggregation are outside this Mac plan. + +## Validation and rollout + +Start with both Qwen families, one representative safetensors target and one +GGUF per family. Cover B1/B2/B3/B4, approximately 2K/8K/32K contexts, and code, +prose and strict tool output. Fixed-context teacher-forced comparisons help +attribute numerical changes before autoregressive paths diverge. HTTP runs +must also report the actual committed output counts and acceptance behavior. + +Use a current local Apple GPU first, then qualify on both Apple9 and Apple10 +families before making shared defaults. Expand to long-context limits, a small +memory configuration and additional quantization formats after a candidate +passes the initial gates. Hold model bytes, prompts, memory limits, KV/state +formats, ANE setting and power conditions constant within each comparison. + +Reuse [ABBA](abba.py), [backend_regression.py](backend_regression.py) and +[http_regression.py](http_regression.py). Existing regression tolerance is +`max(2%, 2 * measured noise)`; spread above 5% is inconclusive and requires a +rerun. Proposed promotion criterion: a repeatable primary-workload gain greater +than that same noise bound, plus passing regression checks on the agreed +workload set. Report affected-device regressions explicitly rather than hiding +them in an aggregate average. + +Extend existing linear, GDN, MoE, attention, sampling and model-oracle tests +according to the changed paths. Include all-accepted and early-rejected prefixes, +EOS, token limits, thinking cutoffs, penalties, invalid scores and mixed sampled +lanes. For mask-related changes, exercise partial tool output and thinking +budgets over the API. Preserve documented numerical tolerances; cross-width +bitwise identity is not an existing acceptance criterion. + +Run relevant focused tests during development, then the repository's CPU/Metal +suites and real-model oracle for each selected model. Include shader validation +for correctness runs and ordinary execution for speed. Run native build and +sanitizer checks when control-plane ownership or scheduler code changes. + +Keep experiments independently switchable with a baseline fallback. Ship a +default only after correctness, useful output throughput, contended latency, +memory use and startup cost are established. The immediate implementation +deliverable is Step 1; the first verification candidate reuses Step 2's existing +MoE work. Steps 3 through 6 follow the measured bottlenecks. + +[deepinfer-policy]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/csrc/engine/mtp_varlen.hpp +[deepinfer-allocation]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/deepinfer/model_executor/layers/tilelang_ops/schedule_mtp_varlen.py +[deepinfer-worker]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/deepinfer/worker/worker.py +[deepinfer-draft]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/deepinfer/model_executor/models/mtp/dflash.py +[deepinfer-readme]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/README.md +[deepinfer-qa]: https://github.com/deepseek-ai/DeepInfer/blob/774ce244b87cc0eb8d4b94ab9f5de2ab22049f01/doc/inference_deployment_qa.md diff --git a/dev/benchmarks/deepinfer-qwen-results.md b/dev/benchmarks/deepinfer-qwen-results.md new file mode 100644 index 000000000..616fb7188 --- /dev/null +++ b/dev/benchmarks/deepinfer-qwen-results.md @@ -0,0 +1,211 @@ +# Qwen live verification on this Mac + +The first implementation improves native MoE decode throughput by 6–7% and +one long-prompt HTTP workload by 6.5%. Short-prompt HTTP comparisons remain +inconclusive because of clock and thermal drift, including a warmed rerun. +Keep the feature experimental and disabled by default. + +## Machine and source + +Evaluated October 20, 2026 on an Apple M5 Pro with 20 GPU cores, 48 GiB unified +memory and macOS 26.6.0. The measurements reported below ran on AC power. +Earlier battery runs are retained as exploratory artifacts. The missing Metal +Toolchain component was installed with `xcodebuild -downloadComponent MetalToolchain` +before building; `xcrun metal` then reported version 32023.921. + +The clean baseline is Splash `be3b083c5f413673d44e44881042e875e674e333`. +Implementation is on `deepinfer-qwen-eval`, reusing the existing +`pr-283-live-verify` prototype while preserving current main's execution plans, +in-place MoE path, pending GDN tapes, thinking budgets and BF16 state support. +The original branch and stash were preserved. See the +[source audit and conditional plan](deepinfer-qwen-plan.md) for pinned DeepInfer +references and the rationale for choosing this work. + +Two already installed models were used: + +| Role | Model | Storage | +| --- | --- | --- | +| MoE optimization and timing | `unsloth/Qwen3.6-35B-A3B-GGUF:UD-IQ3_XXS` | GGUF | +| Dense fallback and state verification | `mlx-community/Qwen3.8-27B-4bit` | Safetensors, MLX affine quantization | + +Timing used INT8 KV and FP32 GDN state. Native profiles use GPU execution; +model oracles explicitly disable ANE FFN. No dense-model speedup is claimed. +The checked-in [measurement bundle](results/qwen-live-verification-m5-pro/README.md) +contains binary/model fingerprints, raw native cycles, HTTP metric deltas, +output hashes, environments and summaries, including the inconclusive runs. + +## Implemented behavior + +`SPLASH_LIVE_VERIFY_THRESHOLD` accepts a finite number in `[0, 1]`; zero is the +default. An enabled greedy MoE lane keeps its anchor and a contiguous prefix +selected by cumulative confidence from the existing draft selector. This is a +heuristic, not DeepInfer's trained acceptance head. No new model weights are +required. + +For position `p` and candidate `c`, the score is its unary score plus the edge +from the previously selected candidate. Confidence is the softmax probability +of the selected candidate among that position's selector candidates. The budget +uses the product of those confidences through each position. This is not a +full-vocabulary proposal probability or a calibrated target-acceptance estimate. + +The GPU excludes inactive suffix rows from routed and shared expert routes, +then limits acceptance to the eligible prefix. The one-lane staged path keeps +its in-place row layout. Tiles may still compute padded rows. Eight-row +storage, draft work, dense projections, attention and GDN arithmetic retain +their existing shapes. Eligible rows therefore do not measure all target work. + +Sampled lanes keep full verification, including in mixed batches. Constrained +batches, dense targets and cycles forcing a thinking-end token also retain +the existing path. Invalid selector confidence falls back to full width. +Startup prepares ordinary acceptance even when a greedy warmup uses live +acceptance, preventing a later sampled request from compiling that pipeline. + +The profiler now saves per-cycle timing, committed output counts, proposal and +acceptance counts, prefix survival and eligible expert rows. Optional ordinary +command traces separate graph construction, backend preparation, Metal encoding, +GPU execution, completion notification and finalization. Production builds do +not include backend tracing. The new [sweep](verification_sweep.py) reuses the +existing ABBA comparison rule. + +## Performance + +All comparisons use off/on/on/off rounds. The regression bound is +`max(2%, 2 × measured spread)`; spread above 5% is inconclusive. A useful gain +must exceed that bound. Native throughput divides total committed tokens by +total measured cycle wall time, including host work. + +At 2,048 prompt tokens, 32 cycles per width and threshold **0.1**, all native +comparisons were stable. Baseline and candidate committed the same number of +tokens per cycle in each width. + +| Lanes | Off, tok/s | On, tok/s | Throughput gain | Spread | Mean eligible rows, on/full | +| --- | ---: | ---: | ---: | ---: | ---: | +| 1 | 114.09 | 121.12 | 6.16% | 0.20% | 6.09 / 8 | +| 2 | 174.37 | 186.45 | 6.93% | 0.24% | 12.28 / 16 | +| 3 | 204.75 | 219.21 | 7.06% | 0.04% | 18.63 / 24 | +| 4 | 248.35 | 265.22 | 6.79% | 0.12% | 25.28 / 32 | + +Raw cycles are in [native-cycles.csv](results/qwen-live-verification-m5-pro/native-cycles.csv); +summaries, environment samples and fingerprints are in +[measurements.json](results/qwen-live-verification-m5-pro/measurements.json). +Complete local Chrome traces remain in the ignored build directory. +Threshold 0.2 was noisier and is not established as a better choice. Earlier +prototype sweeps at 0.01 and 0.05 also do not justify promoting them. + +HTTP comparisons used the clean baseline and candidate binaries with 34 GiB +memory, 32K maximum context, disk prefix cache disabled, greedy decoding and +512 requested output tokens. The metric is the `/status` delta of +`decode_cycle_ms / decode_output_tokens`, so time between decode commands is +included. It measures serving decode throughput rather than total request +latency or prefill performance. + +The **9,641-token coding prompt** improved from **203.27 to 216.53 tok/s** +(**6.52%**), with **0.66% spread** and identical generated messages in all four +rounds. See `http.ac-http-0.1` in the checked-in measurement JSON. +Code, math, prose and four concurrent requests had excessive spread, so their +apparent gains are not evidence of improvement. The warmed rerun +(`http.ac-enabled-warmed`) +remained inconclusive at 14–16% spread as the server reported thermal state +changing from nominal to fair. No broad HTTP speedup is claimed. + +With pruning disabled, the candidate passed the regression bound for code, +math, long code and four concurrent requests. Prose passed on its +warmed rerun (`http.ac-disabled-prose-warmed`), +with 0.22% extra seconds per token and 0.54% spread. The other +disabled controls (`http.ac-http-0`) ranged +from a 0.25% reduction to a 1.06% increase in seconds per token. All measured +HTTP message hashes matched their baseline counterparts, including concurrent +outputs. Seeded sampled probes also matched; strict JSON probes remained valid. +These finite checks do not establish universal output equivalence. + +## Correctness checks + +The native build, CPU engine suite, architecture checks and whitespace checks +pass. Focused Metal tests ran with `MTL_SHADER_VALIDATION=1`: + +- Live-row selection and acceptance: cutoffs, invalid confidence, sampled + fallback and mixed lanes. +- GGUF MoE: existing FP64 numerical checks, plus bitwise live-prefix comparisons + for every supported expert format, staged/register paths, B1–B4 and every + cutoff. The final in-place refinement passed the all-format live-only suite. +- Target sampling, draft selector, GDN decode and Metal backend, including + trace execution and clock-order checks. + +Real-model runtime oracles pass for both installed models with FP32 and BF16 +GDN state, INT8 KV and threshold 0.1. The final in-place MoE refinement also +passes both state formats at threshold 0.2. These exercise lane permutations, +restore/preemption, sampling, constraints and thinking budgets under the +existing oracle's numerical contracts. Another 143 Python tests pass across +benchmark/smoke harnesses and sampling, thinking budgets, structured tools and +partial tool output. Full Python discovery subsequently completed 1,270 tests +with 27 skipped; compileall and Ruff checks also pass. The full local validation +command and outcome are recorded +in the measurement bundle's [validation record](results/qwen-live-verification-m5-pro/validation.md). +Complete logs remain in the local ignored build directory. + +## Decisions and remaining work + +Operator attribution places expert kernels at roughly 40–50% of decode time; +GDN is roughly 4–7%. Attributed dispatches execute separately, so these shares +identify candidates rather than predict fused speedups. + +The ordinary native trace shows a median GPU-to-next-GPU gap of about +0.50–0.53 ms. Median graph construction is 0.145 ms, backend preparation +0.027 ms, encoding 0.142 ms, completion notification 0.078 ms and finalization +0.019 ms. These are native harness observations, not a complete engine-loop +timeline. They suggest a small remaining host budget on this machine; complex +device-side pipelining is deferred. + +GDN pruning is also deferred: it must be redesigned for pending tapes, and +its measured share offers limited headroom. The old stash was not applied. +Adaptive cost selection, dense row compaction and context-aware mixed-prefill +scheduling remain separate conditional steps in the plan. Their gates require +additional measurements; no scheduler or GDN rewrite is included here. + +Before changing defaults, qualify short-prompt HTTP workloads under stable +clocks, additional contexts and quantization formats, and other Apple GPU +families. Full engine-loop tracing and mixed-load p50/p95 latency measurements +are also outstanding. Keep threshold 0.1 opt-in for this machine/model. + +## Reproduce locally + +Build with `make -j8 all`. Enable the experiment with: + +```sh +SPLASH_LIVE_VERIFY_THRESHOLD=0.1 ./splash serve \ + --model unsloth/Qwen3.6-35B-A3B-GGUF:UD-IQ3_XXS +``` + +Unset the environment variable or set it to zero to use full verification. +For a native sweep, resolve the installed model root and run: + +```sh +make -j8 BUILD=build/deepinfer-candidate all \ + build/deepinfer-candidate/engine-tests/decode-profile +.venv/bin/python -m dev.benchmarks.verification_sweep \ + --profile build/deepinfer-candidate/engine-tests/decode-profile \ + --metallib build/deepinfer-candidate/splash.metallib \ + --model-root /path/to/installed-model \ + --output build/verification-repeat --thresholds 0.1 --cycles 32 +``` + +The exact HTTP workload and prompts are retained as an +[experiment snapshot](results/qwen-live-verification-m5-pro/http_workload.py). +Build clean main separately, then compare both servers using the same installed +model root: + +```sh +git worktree add --detach ../splash-live-baseline be3b083c5f413673d44e44881042e875e674e333 +make -C ../splash-live-baseline -j8 all +.venv/bin/python -m dev.benchmarks.results.qwen-live-verification-m5-pro.http_workload \ + --baseline-binary ../splash-live-baseline/build/splash \ + --candidate-binary build/deepinfer-candidate/splash \ + --model-root /absolute/path/to/installed-model \ + --threshold 0.1 --cases long-code --tokens 512 --samples 1 \ + --output build/verification-http-repeat +``` + +The snapshot starts and stops its own servers; it never measures an existing +server. Model bytes and complete local traces/logs are excluded from the PR. +The checked-in bundle preserves the numerical evidence needed to audit the +reported claims. diff --git a/dev/benchmarks/results/qwen-live-verification-m5-pro/README.md b/dev/benchmarks/results/qwen-live-verification-m5-pro/README.md new file mode 100644 index 000000000..471833e0d --- /dev/null +++ b/dev/benchmarks/results/qwen-live-verification-m5-pro/README.md @@ -0,0 +1,56 @@ +# M5 Pro live-verification experiment, October 20, 2026 + +This bundle makes the measurements in [the results report](../../deepinfer-qwen-results.md) +reviewable without the author's ignored build directory. Baseline: +`be3b083c5f413673d44e44881042e875e674e333`. See issue +[#506](https://github.com/incoai/splash/issues/506) for qualification tracking. + +| File | Contents | +| --- | --- | +| [measurements.json](measurements.json) | Environment, settings, binary/model fingerprints, all final AC native summaries, HTTP summaries and round measurements, output hashes and native host/GPU interval summaries | +| [native-cycles.csv](native-cycles.csv) | All 1,024 measured native cycles: two threshold experiments × four ABBA rounds × four widths × 32 cycles | +| [http_workload.py](http_workload.py) | Exact HTTP workload snapshot, formatted for readability with a required model-root argument replacing the local installation default | +| [validation.md](validation.md) | Test commands, scope, completed results and limits | + +## Reading the evidence + +In JSON, `native` includes thresholds 0.1 and 0.2. Its `widths[].rounds` are +seconds per committed token in off/on/on/off order. `noise`, `regression` and +`bound` are fractional values under [ABBA](../../abba.py), not percentages. +`tokens_per_cycle` and `eligible_rows_per_cycle` have one value per round. +Spread above 0.05 is inconclusive even if the candidate's average is faster. + +In CSV, `threshold` identifies the experiment. The effective threshold is zero +when `enabled` is zero. `eligible_rows` is the sum across lanes; proposals and +acceptances are actual counters. `prefix_survival_1` through `_7` count lanes +whose accepted draft prefix reached that position. The unchanged full-width +target operators still process eight physical rows per lane. + +HTTP data is keyed by series: + +- `ac-http-0`: candidate disabled versus clean main; 128 requested tokens. +- `ac-http-0.1` and `ac-http-0.2`: enabled policies versus clean main; + 512 requested tokens. +- `ac-disabled-prose-warmed`: disabled prose control with a ten-second warmup; + 128 requested tokens. +- `ac-enabled-warmed`: threshold 0.1 short workloads and batch-four with a + ten-second warmup; 512 requested tokens. + +Each HTTP series contains `summary` and `rounds`. Rows retain the measured +`decode_cycle_ms`, `decode_wall_ms`, decode output, drafted and accepted counts, +actual prompt/completion usage, finish reasons and SHA256 of generated message +JSON. Generated answer text is omitted. Sampled and strict-schema probe hashes +are also retained. Hash equality is a finite observation, not a universal +reproducibility guarantee. + +The native comparison uses the same instrumented candidate binary, with the +policy off/on, and traces all arms symmetrically. HTTP uses separate clean-main +and candidate server binaries and includes between-command time. Consequently +native and HTTP rates are different metrics and must not be compared directly. + +The HTTP snapshot targets the named Qwen3.6 MoE model and the original 34 GiB +memory/32K context setup. It is experiment documentation, not a general release +gate. Use the standard regression and release harnesses for broader rollout. +Early battery runs and intermediate conservative-gather builds are excluded +from this final comparison bundle. Complete Chrome traces and full logs remain +local; no model weights or machine-specific absolute paths are included. diff --git a/dev/benchmarks/results/qwen-live-verification-m5-pro/http_workload.py b/dev/benchmarks/results/qwen-live-verification-m5-pro/http_workload.py new file mode 100644 index 000000000..7eb75beaa --- /dev/null +++ b/dev/benchmarks/results/qwen-live-verification-m5-pro/http_workload.py @@ -0,0 +1,264 @@ +"""Exact workload snapshot for the October 20, 2026 M5 Pro measurements. + +Run from the repository root with: + python -m dev.benchmarks.results.qwen-live-verification-m5-pro.http_workload ... + +Requires --model-root and --output; targets the Qwen3.6 MoE model named below. +This snapshot preserves the experiment; use the standard regression harnesses +for release qualification. It starts and stops its own servers. +""" + +import argparse +import concurrent.futures +import hashlib +import json +import os +import statistics +import subprocess +import time +from pathlib import Path + +from dev.benchmarks import abba +from dev.tests import smoke_real as smoke + +p = argparse.ArgumentParser() +p.add_argument("--threshold", type=float, default=0.1) +p.add_argument( + "--baseline-binary", type=Path, default=Path("build/deepinfer-candidate/splash") +) +p.add_argument( + "--candidate-binary", type=Path, default=Path("build/deepinfer-candidate/splash") +) +p.add_argument("--baseline-threshold", type=float, default=0) +p.add_argument("--model-root", type=Path, required=True) +p.add_argument("--output", type=Path, required=True) +p.add_argument("--tokens", type=int, default=512) +p.add_argument("--samples", type=int, default=2) +p.add_argument("--cases", default="code,math,prose,long-code,batch4") +p.add_argument("--warmup-seconds", type=float, default=0) +a = p.parse_args() +a.output.mkdir(parents=True, exist_ok=True) +model = "unsloth/Qwen3.6-35B-A3B-GGUF" +settings = argparse.Namespace( + model_root=a.model_root, + binary=a.candidate_binary, + model=model, + max_context=32768, + max_memory="34G", + max_cache_disk="0", + max_image_pixels=None, + kv_format="int8", +) +smoke.hold_model_root(settings) +base = [ + ( + "code", + "Implement a thread-safe bounded LRU cache in Python with expiration, type annotations, documentation and comprehensive unit tests.", + ), + ( + "math", + "Derive the central limit theorem for independent identically distributed random variables. Explain assumptions and every intermediate step in detail.", + ), + ( + "prose", + "Explain how operating systems implement virtual memory, page tables, copy-on-write and page reclamation. Give extensive examples.", + ), + ( + "long-code", + "Project notes: " + + ( + "The service uses a durable queue with retries, timeouts and transactional state transitions. " + * 600 + ) + + "\nImplement a complete Python job queue with persistence, retries, graceful shutdown and tests.", + ), +] +selected = a.cases.split(",") +if set(selected) - {"code", "math", "prose", "long-code", "batch4"}: + p.error("unknown case") +code_prompt = base[0][1] +base = [x for x in base if x[0] in selected] +keys = [ + "decode_cycle_ms", + "decode_wall_ms", + "decode_output_tokens", + "drafted_tokens", + "accepted_draft_tokens", +] + + +def req(server, content, **extra): + body = smoke.chat_body(model, content, max_completion_tokens=a.tokens, **extra) + code, response = smoke.request( + server.port, "POST", "/v1/chat/completions", body, timeout=600 + ) + smoke.require(code == 200, f"HTTP {code}: {response}") + smoke.require(response.get("choices"), f"missing choices: {response}") + return { + "usage": response["usage"], + "message": response["choices"][0]["message"], + "finish": response["choices"][0]["finish_reason"], + "hash": hashlib.sha256( + json.dumps(response["choices"][0]["message"], sort_keys=True).encode() + ).hexdigest(), + } + + +def measure(server, label, contents): + _, before = smoke.request(server.port, "GET", "/status") + start = time.monotonic() + with concurrent.futures.ThreadPoolExecutor(max_workers=len(contents)) as pool: + responses = list(pool.map(lambda content: req(server, content), contents)) + _, after = smoke.request(server.port, "GET", "/status") + smoke.validate_status(after, "int8") + smoke.require( + after["state"]["active_lanes"] == 0 and after["kv"]["pages_active"] == 0, + "active resources leaked", + ) + delta = {k: after["metrics"][k] - before["metrics"][k] for k in keys} + smoke.require( + delta["decode_cycle_ms"] > 0 and delta["decode_output_tokens"] > 0, + "missing decode metrics", + ) + return { + "id": label, + "seconds_per_token": delta["decode_cycle_ms"] + / 1000 + / delta["decode_output_tokens"], + "wall_seconds": time.monotonic() - start, + "delta": delta, + "responses": responses, + } + + +rounds = [] +for index, on in enumerate([False, True, True, False], 1): + settings.binary = a.candidate_binary if on else a.baseline_binary + os.environ["SPLASH_LIVE_VERIFY_THRESHOLD"] = str( + a.threshold if on else a.baseline_threshold + ) + os.environ["HF_HUB_OFFLINE"] = "1" + os.environ.pop("MTL_SHADER_VALIDATION", None) + server = smoke.RealServer(settings) + try: + status = server.wait_ready(1800) + print( + "Round", + index, + "candidate" if on else "baseline", + "thermal", + status.get("thermal_state"), + flush=True, + ) + req(server, "Write a Python function adding two integers and explain it.") + warm_until = time.monotonic() + a.warmup_seconds + while time.monotonic() < warm_until: + req( + server, + "Write a complete annotated Python expression parser with precedence, syntax error recovery, documentation and comprehensive tests. Explain every design choice in detail.", + ) + rows = [] + for sample in range(a.samples): + for label, content in base: + row = measure( + server, + label, + [content + f"\nUse descriptive names. Version {sample}."], + ) + rows.append(row) + print( + " ", + label, + round(1 / row["seconds_per_token"], 2), + "tok/s", + flush=True, + ) + if "batch4" in selected: + rows.append( + measure( + server, + "batch4", + [ + code_prompt + f"\nImplement variant {sample}, request {i}." + for i in range(4) + ], + ) + ) + # Sampled and structured paths must remain usable with the feature enabled. + sampled = req( + server, + "Explain binary search and provide annotated Python code.", + temperature=0.7, + seed=1234, + ) + schema = { + "type": "object", + "properties": {"result": {"type": "string", "const": "ok"}}, + "required": ["result"], + "additionalProperties": False, + } + structured = req( + server, + "Return the required JSON.", + response_format={ + "type": "json_schema", + "json_schema": {"name": "probe", "strict": True, "schema": schema}, + }, + ) + smoke.require( + json.loads(structured["message"]["content"]) == {"result": "ok"}, + "structured fallback failed", + ) + with settings.binary.open("rb") as binary_file: + binary_sha256 = hashlib.file_digest(binary_file, "sha256").hexdigest() + rounds.append( + { + "enabled": on, + "binary_sha256": binary_sha256, + "identity": status.get("identity"), + "rows": rows, + "sampled": sampled, + "structured": structured, + "environment": { + "power": subprocess.check_output( + ["pmset", "-g", "batt"], text=True + ), + "thermal": status.get("thermal_state"), + }, + } + ) + (a.output / "rounds.json").write_text(json.dumps(rounds, indent=2) + "\n") + finally: + server.stop() + server.log.seek(0) + (a.output / f"server-{index}.log").write_text(server.log.read()) + server.close() +report = [] +for label in [x[0] for x in base] + (["batch4"] if "batch4" in selected else []): + values = [ + [r["seconds_per_token"] for r in record["rows"] if r["id"] == label] + for record in rounds + ] + result = abba.compare_samples(values) + result.update( + id=label, + tok_s=[1 / statistics.median(v) for v in values], + output_equal_by_sample=[ + len( + { + tuple( + x["hash"] + for x in [r for r in record["rows"] if r["id"] == label][ + sample + ]["responses"] + ) + for record in rounds + } + ) + == 1 + for sample in range(a.samples) + ], + ) + report.append(result) + print(label, abba.describe(result), flush=True) +(a.output / "summary.json").write_text(json.dumps(report, indent=2) + "\n") diff --git a/dev/benchmarks/results/qwen-live-verification-m5-pro/measurements.json b/dev/benchmarks/results/qwen-live-verification-m5-pro/measurements.json new file mode 100644 index 000000000..d0f7e8a95 --- /dev/null +++ b/dev/benchmarks/results/qwen-live-verification-m5-pro/measurements.json @@ -0,0 +1,4485 @@ +{ + "schema_version": 1, + "date": "2026-10-20", + "baseline_commit": "be3b083c5f413673d44e44881042e875e674e333", + "machine": { + "chip": "Apple M5 Pro", + "gpu_cores": 20, + "memory_gib": 48, + "macos": "26.6" + }, + "timing_settings": { + "power": "AC", + "kv_format": "int8", + "state_format": "fp32", + "native_context": 2048, + "native_cycles_per_width_per_round": 32, + "http_max_context": 32768, + "http_max_memory": "34G", + "http_max_cache_disk": "0", + "http_temperature": 0, + "http_reasoning_effort": "none" + }, + "native_fingerprints": { + "profile": "0fbf2e5f90bebe7794090ad536059b214c20dd0245280fd55911e1b892660bb1", + "metallib": "53216b09444405aa1cc1aa717c7fd75bc5b292d1db4967641d4ab97a51bf8d2d", + "model_manifest": "fbd33ebb12696638784e67f8d0b6c7f9add5de557c39732d95de90a8194967d5" + }, + "native": [ + { + "context": 2048, + "threshold": 0.1, + "widths": [ + { + "rounds": [ + 0.008765497463414635, + 0.008264193548780488, + 0.008247883109756098, + 0.008763933890243901 + ], + "baseline": 0.008764715676829269, + "candidate": 0.008256038329268293, + "noise": 0.001975576950335644, + "regression": -0.058036947953227336, + "bound": 0.02, + "verdict": "pass", + "pass": true, + "width": 1, + "tokens_per_cycle": [ + 2.5625, + 2.5625, + 2.5625, + 2.5625 + ], + "eligible_rows_per_cycle": [ + 8.0, + 6.09375, + 6.09375, + 8.0 + ] + }, + { + "rounds": [ + 0.005736727421686747, + 0.005356925698795181, + 0.0053698263132530115, + 0.005733325572289156 + ], + "baseline": 0.0057350264969879515, + "candidate": 0.005363376006024096, + "noise": 0.002405316062744964, + "regression": -0.06480362229521475, + "bound": 0.02, + "verdict": "pass", + "pass": true, + "width": 2, + "tokens_per_cycle": [ + 5.1875, + 5.1875, + 5.1875, + 5.1875 + ], + "eligible_rows_per_cycle": [ + 16.0, + 12.28125, + 12.28125, + 16.0 + ] + }, + { + "rounds": [ + 0.004883298197530864, + 0.004560973267489712, + 0.004562593098765433, + 0.004884633061728395 + ], + "baseline": 0.00488396562962963, + "candidate": 0.004561783183127572, + "noise": 0.00035508730044684397, + "regression": -0.06596738612316777, + "bound": 0.02, + "verdict": "pass", + "pass": true, + "width": 3, + "tokens_per_cycle": [ + 7.59375, + 7.59375, + 7.59375, + 7.59375 + ], + "eligible_rows_per_cycle": [ + 24.0, + 18.625, + 18.625, + 24.0 + ] + }, + { + "rounds": [ + 0.004027546486646884, + 0.0037681852077151336, + 0.003772780664688427, + 0.004025556626112759 + ], + "baseline": 0.004026551556379822, + "candidate": 0.0037704829362017805, + "noise": 0.0012187979765591254, + "regression": -0.06359501836560788, + "bound": 0.02, + "verdict": "pass", + "pass": true, + "width": 4, + "tokens_per_cycle": [ + 10.53125, + 10.53125, + 10.53125, + 10.53125 + ], + "eligible_rows_per_cycle": [ + 32.0, + 25.28125, + 25.28125, + 32.0 + ] + } + ], + "round_environments": [ + { + "power": "Now drawing from 'AC Power'\n -InternalBattery-0 (id=22478947)\t73%; charging; 1:07 remaining present: true", + "thermal": "Note: No thermal warning level has been recorded\nNote: No performance warning level has been recorded\nNote: No CPU power status has been recorded" + }, + { + "power": "Now drawing from 'AC Power'\n -InternalBattery-0 (id=22478947)\t73%; charging; 1:07 remaining present: true", + "thermal": "Note: No thermal warning level has been 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+0.2,4,0,4,28,2048,0.04619654166162945,0.046777541,1,32,13,28,9,4,3,2,0,0,0,0 +0.2,4,0,4,29,2048,0.04763099999399856,0.048264458,1,32,11,28,7,3,1,1,1,1,0,0 +0.2,4,0,4,30,2048,0.04780654166825116,0.048455958,1,32,8,28,4,3,1,0,0,0,0,0 +0.2,4,0,4,31,2048,0.0479091249871999,0.048522792,1,32,15,28,11,3,3,3,1,1,0,0 diff --git a/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md b/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md new file mode 100644 index 000000000..acb4f2466 --- /dev/null +++ b/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md @@ -0,0 +1,122 @@ +# Local validation record + +Machine: Apple M5 Pro, 20 GPU cores, 48 GiB, macOS 26.6.0. Metal compiler +32023.921. Base commit: `be3b083c5f413673d44e44881042e875e674e333`. +This records local results; it does not represent a multi-device release gate. + +## Source and native checks + +| Check | Result and scope | +| --- | --- | +| `make -j8 all` | PASS; normal CLI rebuilt and `./splash --help` succeeds | +| `make -j8 BUILD=build/deepinfer-candidate test-engine-cpu` | PASS | +| `.venv/bin/python dev/tools/check_architecture.py` | PASS | +| `git diff --check` and `git diff --cached --check` | PASS | +| `make -j8 check` | In progress during PR preparation; final result will be recorded before submission | + +The full check builds all native tests/tools, runs the CPU and Metal suites, +runs Python discovery, compiles Python sources and checks Ruff lint/format. +Its Metal suite uses `MTL_SHADER_VALIDATION=1`. + +## Focused shader-validated checks + +All completed with `MTL_SHADER_VALIDATION=1`, using the candidate Metal library. + +| Native executable | Result | Coverage relevant to this change | +| --- | --- | --- | +| `live-verify-rows` | PASS | Chosen-path confidence, invalid inputs, one-to-eight-row limits, acceptance/continuation, stops, limits and sampled/mixed fallback | +| `gguf-moe` | PASS | Existing FP64 checks and bitwise live-prefix comparisons across expert formats and B1–B4; this full run preceded the final in-place refinement | +| `gguf-moe --live-only` | PASS | Final in-place refinement, every supported expert format, staged/register paths, B1–B4 and all cutoff lengths; inactive outputs preserve the residual | +| `target-sampling` | PASS | Existing greedy/sampled acceptance and distribution checks | +| `draft-selector` | PASS | Existing selector numerical/selection contracts | +| `gdn-decode` | PASS | Existing pending-tape/state contracts; no GDN arithmetic was modified | +| `metal-backend` | PASS | Existing backend checks and new trace execution, interval and clock-order checks | + +For example, after building the corresponding targets: + +```sh +MTL_SHADER_VALIDATION=1 build/deepinfer-candidate/engine-tests/live-verify-rows \ + build/deepinfer-candidate/splash.metallib +MTL_SHADER_VALIDATION=1 build/deepinfer-candidate/engine-tests/gguf-moe \ + build/deepinfer-candidate/splash.metallib --live-only +``` + +## Real-model oracle matrix + +All runs use INT8 KV and `--ane-ffn-share 0`. Both state formats completed the +full oracle, including restore/preemption, same-graph lane equivalence, +permutations, sampling, constraints, thinking budgets and applicable image +checks. Cross-width bitwise identity is not an existing oracle requirement. + +| Model | Threshold | FP32 state | BF16 state | +| --- | ---: | --- | --- | +| `unsloth/Qwen3.6-35B-A3B-GGUF:UD-IQ3_XXS` | 0.1 | PASS | PASS | +| `mlx-community/Qwen3.8-27B-4bit` | 0.1 | PASS | PASS | +| MoE model, final in-place refinement | 0.2 | PASS | PASS | + +The threshold-0.1 MoE runs preceded the final in-place refinement. The final +refinement was qualified with all-format bitwise prefixes and threshold-0.2 +real-model oracles; dense execution is unaffected by that refinement. + +Pinned installed sources: + +| Role | Repository | Revision | +| --- | --- | --- | +| MoE target | `unsloth/Qwen3.6-35B-A3B-GGUF` | `a483e9e6cbd595906af30beda3187c2663a1118c` | +| MoE draft | `incoai/Qwen3.6-35B-A3B-DFlash2` | `51ef7b6923ad6c14cb1bb41c37a9041446496ab6` | +| Dense target | `mlx-community/Qwen3.8-27B-4bit` | `10c35caafbb80f7dc6a7a432cdd11af10a6d4818` | +| Dense draft | `incoai/Qwen3.8-27B-DFlash2` | `015e795645c74b1a0eeef3b570031fb62e769bc5` | + +Reproduce each model/state pair with: + +```sh +MTL_SHADER_VALIDATION=1 build/deepinfer-candidate/engine-tests/model-runtime-oracle \ + build/deepinfer-candidate/splash.metallib /path/to/installed-model \ + --kv-format int8 --state-format fp32 --ane-ffn-share 0 \ + --live-verify-threshold 0.1 +``` + +Repeat with `--state-format bf16`; use threshold 0.2 for the final MoE matrix. +The safetensors/GGUF target models above are representative installed models, +not all combinations of model family and storage format. + +## Python checks + +The full Python discovery in `make check` completed **1,270 tests, with 27 +skipped**, in 513.888 seconds. Compileall, Ruff lint and Ruff format checks +also pass (158 files checked). + +Earlier focused runs include 38 passing tests: + +```sh +.venv/bin/python -m unittest \ + dev.tests.tools.test_backend_regression dev.tests.tools.test_smoke_real +``` + +105 tests pass: + +```sh +.venv/bin/python -m unittest \ + dev.tests.server.test_sampling dev.tests.server.test_thinking_token_budget \ + dev.tests.server.test_structured_tools dev.tests.server.test_tool_calls \ + dev.tests.server.test_partial_tool_output +``` + +## Measurement verification + +Every exported native comparison was recomputed from `native-cycles.csv` using +`abba.compare`, reproducing baseline/candidate time, spread, regression bound +and verdict. Every HTTP comparison was recomputed from its raw metric deltas +using `abba.compare_samples`, reproducing the exact stored results. Generated +message hashes and sampled/strict-schema probe hashes match across each series' +four rounds. The checked-in HTTP workload snapshot preserves the tested +requests and measurement logic; formatting and the required model-root option +do not change the prompts or metric calculation. + +## Limits + +The full cross-device release gate, all model/storage combinations, BF16 KV +qualification and contended p50/p95 latency are not established here. ANE +prefill acceleration is not a claimed benefit. Enabled short-prompt HTTP +comparisons are inconclusive and do not qualify a default threshold. The +original feature is disabled unless explicitly enabled. From d3424cc537c8dc92949f2862342f226892d6d030 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 21:48:41 +0530 Subject: [PATCH 04/22] Record passing full local validation for the verification experiment --- dev/benchmarks/deepinfer-qwen-results.md | 9 ++++++--- .../qwen-live-verification-m5-pro/validation.md | 15 +++++++++++++-- 2 files changed, 19 insertions(+), 5 deletions(-) diff --git a/dev/benchmarks/deepinfer-qwen-results.md b/dev/benchmarks/deepinfer-qwen-results.md index 616fb7188..bd31252bc 100644 --- a/dev/benchmarks/deepinfer-qwen-results.md +++ b/dev/benchmarks/deepinfer-qwen-results.md @@ -120,14 +120,17 @@ These finite checks do not establish universal output equivalence. ## Correctness checks -The native build, CPU engine suite, architecture checks and whitespace checks -pass. Focused Metal tests ran with `MTL_SHADER_VALIDATION=1`: +The full `make -j8 check` gate passes, including the CPU and shader-validated +Metal suites, all native test/tool builds, full Python discovery, compileall +and Ruff checks. Architecture and whitespace checks also pass. Focused Metal +tests ran with `MTL_SHADER_VALIDATION=1`: - Live-row selection and acceptance: cutoffs, invalid confidence, sampled fallback and mixed lanes. - GGUF MoE: existing FP64 numerical checks, plus bitwise live-prefix comparisons for every supported expert format, staged/register paths, B1–B4 and every - cutoff. The final in-place refinement passed the all-format live-only suite. + cutoff. The final in-place refinement passed both the all-format live-only + suite and the full numerical suite repeated during `make check`. - Target sampling, draft selector, GDN decode and Metal backend, including trace execution and clock-order checks. diff --git a/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md b/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md index acb4f2466..ede200192 100644 --- a/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md +++ b/dev/benchmarks/results/qwen-live-verification-m5-pro/validation.md @@ -3,6 +3,9 @@ Machine: Apple M5 Pro, 20 GPU cores, 48 GiB, macOS 26.6.0. Metal compiler 32023.921. Base commit: `be3b083c5f413673d44e44881042e875e674e333`. This records local results; it does not represent a multi-device release gate. +Runtime/policy implementation: `c5bde8f`; measurement instrumentation: +`1894964`. Subsequent commits publish documentation and evidence. The runtime +source is unchanged from the measured candidate. ## Source and native checks @@ -12,11 +15,14 @@ This records local results; it does not represent a multi-device release gate. | `make -j8 BUILD=build/deepinfer-candidate test-engine-cpu` | PASS | | `.venv/bin/python dev/tools/check_architecture.py` | PASS | | `git diff --check` and `git diff --cached --check` | PASS | -| `make -j8 check` | In progress during PR preparation; final result will be recorded before submission | +| `make -j8 check` | PASS, exit 0; complete CPU/Metal suites, all native test/tool builds, full Python discovery, compileall, Ruff lint and format | +| `make check-source` after packaging the evidence | PASS, exit 0 | The full check builds all native tests/tools, runs the CPU and Metal suites, runs Python discovery, compiles Python sources and checks Ruff lint/format. Its Metal suite uses `MTL_SHADER_VALIDATION=1`. +The final full gate includes the numerical MoE suite after the in-place +refinement, not only its fast live-prefix qualification. ## Focused shader-validated checks @@ -25,7 +31,7 @@ All completed with `MTL_SHADER_VALIDATION=1`, using the candidate Metal library. | Native executable | Result | Coverage relevant to this change | | --- | --- | --- | | `live-verify-rows` | PASS | Chosen-path confidence, invalid inputs, one-to-eight-row limits, acceptance/continuation, stops, limits and sampled/mixed fallback | -| `gguf-moe` | PASS | Existing FP64 checks and bitwise live-prefix comparisons across expert formats and B1–B4; this full run preceded the final in-place refinement | +| `gguf-moe` | PASS | Final implementation: existing FP64 checks and bitwise live-prefix comparisons across expert formats and B1–B4, repeated in the full `make check` gate | | `gguf-moe --live-only` | PASS | Final in-place refinement, every supported expert format, staged/register paths, B1–B4 and all cutoff lengths; inactive outputs preserve the residual | | `target-sampling` | PASS | Existing greedy/sampled acceptance and distribution checks | | `draft-selector` | PASS | Existing selector numerical/selection contracts | @@ -120,3 +126,8 @@ qualification and contended p50/p95 latency are not established here. ANE prefill acceleration is not a claimed benefit. Enabled short-prompt HTTP comparisons are inconclusive and do not qualify a default threshold. The original feature is disabled unless explicitly enabled. + +`make check` does not include the separate `make test-sanitizers` target; that +target was not run locally for this publication. GitHub's native CI job runs +the sanitizer suite. Its status is reported by the PR checks, independently of +these completed local results. From 0fdb531243a37a7f898efc8ca5a50233b583b05c Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 22:50:32 +0530 Subject: [PATCH 05/22] Instrument serving engine phases, mask waits and ANE handoffs --- dev/native.mk | 11 ++- dev/tests/engine/engine_test.cpp | 80 ++++++++++++++++++- dev/tests/engine/handoff_test.mm | 5 ++ dev/tests/engine/metal_backend_test.mm | 18 +++++ runtime/Trace.hpp | 95 +++++++++++++++++++++++ runtime/ane/Handoff.hpp | 3 + runtime/ane/Handoff.mm | 20 ++++- runtime/engine/Bootstrap.mm | 4 +- runtime/engine/Engine.cpp | 98 +++++++++++++++++++++--- runtime/engine/Engine.hpp | 12 ++- runtime/engine/NativeRuntime.cpp | 3 + runtime/main.mm | 71 +++++++++++++++++ runtime/metal/BackendInstrumentation.hpp | 3 + runtime/metal/MetalBackend.mm | 31 +++++++- runtime/model/ModelFactory.hpp | 4 + runtime/model/Runtime.cpp | 27 ++++++- runtime/ops/AneFfn.hpp | 1 + 17 files changed, 467 insertions(+), 19 deletions(-) create mode 100644 runtime/Trace.hpp diff --git a/dev/native.mk b/dev/native.mk index 23c25f016..fecccbf9a 100644 --- a/dev/native.mk +++ b/dev/native.mk @@ -214,7 +214,8 @@ TEST_CONFIG_TARGETS := $(filter-out $(LIB),$(sort $(TEST_CPU_TARGETS) $(TEST_MET $(TEST_Q8_AIR) $(TEST_Q8_KERNEL_AIRS) $(TEST_RESIDENCY_AIR) $(TEST_METAL_BACKEND_AIR) \ $(TEST_GGUF_DEQUANT_AIR) # Benchmarks and tools that build with the production flags. -PRODUCTION_FLAG_TOOLS := $(TEST_BACKEND_BENCHMARK) $(WEIGHT_DIGESTS) +SERVING_PROFILE := $(BUILD)/serving-profile +PRODUCTION_FLAG_TOOLS := $(TEST_BACKEND_BENCHMARK) $(WEIGHT_DIGESTS) $(SERVING_PROFILE) PRODUCTION_CONFIG_TARGETS += $(PRODUCTION_FLAG_TOOLS) SANITIZER_CONFIG_TARGETS := $(TEST_SLOT_FILE_ASAN) $(TEST_SLOT_FILE_TSAN) \ $(TEST_CACHE_DIRECTORY_ASAN) $(TEST_CACHE_DIRECTORY_TSAN) \ @@ -370,6 +371,14 @@ $(TEST_MODEL_RUNTIME_ORACLE): dev/tests/engine/model_runtime_oracle_test.mm \ $(TEST_MODEL_RUNTIME_ORACLE): ENGINE_TEST_CXXFLAGS += -include $(BUILD_ID_HEADER) $(TEST_DECODE_PROFILE): dev/benchmarks/decode_profile.mm \ $(ENGINE_INSTRUMENTED_METAL_OBJECT) $(ENGINE_LIBRARY) $(LIB) + +# The native protocol entry point with development-only Chrome tracing. Keep +# it beside its metallib so the regular HTTP harness can run it as a server. +$(SERVING_PROFILE): runtime/main.mm $(ENGINE_INSTRUMENTED_METAL_OBJECT) $(ENGINE_LIBRARY) $(LIB) $(BUILD_ID_HEADER) + $(RUN_CONFIGURED) $(CXX) $(ENGINE_OBJCXXFLAGS) -DSPLASH_NATIVE_TRACE=1 \ + -include $(BUILD_ID_HEADER) $< $(ENGINE_INSTRUMENTED_METAL_OBJECT) $(ENGINE_LIBRARY) \ + $(ENGINE_LINKFLAGS) -o $@ + $(TEST_ATTENTION_SWEEP): dev/benchmarks/attention_sweep.mm \ dev/benchmarks/DispatchReplay.hpp \ $(ENGINE_LIBRARY) $(LIB) diff --git a/dev/tests/engine/engine_test.cpp b/dev/tests/engine/engine_test.cpp index ec2bfaaeb..ebb89fb7f 100644 --- a/dev/tests/engine/engine_test.cpp +++ b/dev/tests/engine/engine_test.cpp @@ -147,6 +147,73 @@ void tickUntil(engine::Engine &engine, double &now, const std::function require(done(), message); } +void testTraceDoesNotCountCancelledOutput() { + test::TestKvStorage storage(64, 4096, 4); + KvPool pool(storage, 0); + engine::Cache cache(pool, nullptr, nullptr); + Executor model; + Events events; + TraceBuffer trace(1024); + auto config = test::engineConfig(); + config.trace = &trace; + engine::Engine engine(config, cache, model, events); + guardReleases(storage, engine); + model.holdPrefillUntil = std::make_shared>(false); + engine.submit(request(1, std::vector(193, 7))); + require(engine.tick(0) && engine.commandInFlight(), "cancel fixture did not submit"); + engine.cancel(1); + *model.holdPrefillUntil = true; + runUntilIdle(engine); + require(events.emitted == 0 && engine.snapshot().cancelled == 1, + "cancelled request emitted output"); + uint32_t observations = 0; + for (const auto &event : trace.snapshot()) { + if (std::string_view(event.name) == "batch.counters") { + ++observations; + require(event.rows == 0 && event.context == 0 && event.flags == 0, + "trace counted provisional cancelled output as committed"); + } + } + require(observations == 1, "cancelled command omitted its counter record"); +} + +void testTraceCannotChangeExecution() { + const auto run = [](TraceSink *trace) { + test::TestKvStorage storage(64, 4096, 4); + KvPool pool(storage, 0); + engine::Cache cache(pool, nullptr, nullptr); + Executor model; + Events events; + auto config = test::engineConfig(); + config.trace = trace; + engine::Engine engine(config, cache, model, events); + guardReleases(storage, engine); + auto input = request(1, std::vector(193, 7)); + input.maxNewTokens = 4; + engine.submit(input); + runUntilIdle(engine); + require(events.completedCount == 1 && events.failedCount == 0, + "traced request did not complete"); + return events.outputs; + }; + const auto baseline = run(nullptr); + TraceBuffer trace(1024); + require(run(&trace) == baseline, "tracing changed generated tokens"); + const auto events = trace.snapshot(); + for (const char *name : {"scheduler.plan", "engine.prepare", "runtime.prefill_submit", + "engine.apply", "runtime.decode_submit"}) + require(std::any_of(events.begin(), events.end(), [&](const auto &event) { + return std::string_view(event.name) == name; + }), "trace omitted an execution phase"); + for (const auto &event : events) + require(event.begin > 0.0 && event.end >= event.begin, + "trace contains an invalid host-clock interval"); + require(trace.dropped() == 0, "short trace exceeded its storage"); + TraceBuffer bounded(2); + require(run(&bounded) == baseline && bounded.snapshot().size() == 2 && bounded.dropped() > 0, + "trace overflow changed execution or grew past its bound"); +} + void testConcurrentColdPrefixesComputeOnce() { test::TestKvStorage storage(64, 4096, 4); KvPool pool(storage, 0); @@ -1737,7 +1804,10 @@ void testRefusedKvPastABoundaryEndsTheCommandThere() { engine::Cache resources(pool, nullptr, nullptr); Executor executor(1); Events events; - engine::Engine engine(test::engineConfig(), resources, executor, events); + TraceBuffer trace(1024); + auto config = test::engineConfig(); + config.trace = &trace; + engine::Engine engine(config, resources, executor, events); guardReleases(storage, engine); // The extent the last token's page needs comes once the first command ran. storage.growthAllowed = [&](uint32_t extent) { @@ -1755,6 +1825,12 @@ void testRefusedKvPastABoundaryEndsTheCommandThere() { counters.replayStatePublications == 1 && events.completedCount == 1 && events.failedCount == 0, "refused KV past a boundary made the lane wait, yield or fail"); + std::vector measuredRows; + for (const auto &event : trace.snapshot()) + if (std::string_view(event.name) == "batch.observation" && (event.flags & 1)) + measuredRows.push_back(event.rows); + require(measuredRows == std::vector{128, 1}, + "trace recorded planned rows instead of the cut command's actual rows"); } // A checkpoint the command passes on its way to a state that retires it is @@ -10309,6 +10385,8 @@ void testImpossibleSpeculativeCountsFailOnlyTheirOwnLane() { int main() { try { + testTraceCannotChangeExecution(); + testTraceDoesNotCountCancelledOutput(); testSpeculativeCountsStayWithEachConcurrentRequest(); testImpossibleSpeculativeCountsFailOnlyTheirOwnLane(); testUnusableThinkingBudgetIsRefused(); diff --git a/dev/tests/engine/handoff_test.mm b/dev/tests/engine/handoff_test.mm index 846d85108..29aa93aa3 100644 --- a/dev/tests/engine/handoff_test.mm +++ b/dev/tests/engine/handoff_test.mm @@ -253,6 +253,8 @@ void behaves(MetalBackend &backend, Behaviour behaviour, uint32_t faulty) { const std::string label = std::string(name(behaviour)) + " at job " + std::to_string(faulty); const bool fails = behaviour != Behaviour::Succeed && behaviour != Behaviour::Twice; ane::Handoff handoff(backend, kBound); + auto trace = std::make_shared(1024); + handoff.setTraceSink(trace); const MetalBuffer markers = zeroed(backend); Agent agent(behaviour, faulty, markers); Layers layers(backend, markers); @@ -261,6 +263,9 @@ void behaves(MetalBackend &backend, Behaviour behaviour, uint32_t faulty) { label + ": the command took " + std::to_string(first) + " ms, past the bound"); require(backend.healthy(), label + ": the backend is unhealthy: " + backend.unhealthyReason()); require(handoff.finish().has_value() == !fails, label + ": finish() reported " + (fails ? "success" : "failure")); + for (const auto &event : trace->snapshot()) + require(event.begin > 0.0 && event.end >= event.begin, + "handoff trace contains invalid callback timestamps"); require(handoff.retired() == fails && handoff.reason().empty() == !fails, label + ": retired " + std::to_string(handoff.retired()) + " for " + handoff.reason()); // While the agent behaves, the GPU waits for each layer's done; a failure as the jobs start releases every wait diff --git a/dev/tests/engine/metal_backend_test.mm b/dev/tests/engine/metal_backend_test.mm index 84e4bd99f..60d94a32b 100644 --- a/dev/tests/engine/metal_backend_test.mm +++ b/dev/tests/engine/metal_backend_test.mm @@ -707,6 +707,9 @@ void commandTracingPreservesExecution(const std::string &metallibPath) { require(trace.size() == 1 && trace.front().dispatches == 1 && *value == 1, "tracing changed command execution or lost its completion"); const auto &sample = trace.front(); + require(sample.segments.size() == 1 && sample.segments[0].begin == sample.gpuStart && + sample.segments[0].end == sample.gpuEnd, + "ordinary trace lost its GPU segment"); require(sample.prepareStart <= sample.encodeStart && sample.encodeStart <= sample.commit && sample.commit <= sample.complete && sample.gpuEnd >= sample.gpuStart && sample.gpuStart >= sample.commit - 0.001 && sample.gpuEnd <= sample.complete + 0.001 && @@ -716,6 +719,21 @@ void commandTracingPreservesExecution(const std::string &metallibPath) { (void)backend.submitCommandAsync({&dispatch, 1}).wait(); require(BackendInstrumentation::takeCommandTrace(backend).empty() && *value == 2, "disabled tracing recorded or changed a command"); + BackendInstrumentation::setCommandTracing(backend, true); + const auto event = backend.newSharedEvent(); + const std::vector pair(2, dispatch); + const std::vector steps{{1, event, 1, EventStep::Kind::Signal}, + {1, event, 1, EventStep::Kind::Wait}}; + (void)backend.submitCommandAsync(Command{pair, steps}).wait(); + const auto split = BackendInstrumentation::takeCommandTrace(backend); + require(split.size() == 1 && split[0].segments.size() == 2 && *value == 4, + "event-split trace changed execution or lost a GPU segment"); + require(split[0].segments.front().begin == split[0].gpuStart && + split[0].segments.back().end == split[0].gpuEnd && + split[0].segments[0].end <= split[0].segments[1].begin && + BackendInstrumentation::droppedCommandTraces(backend) == 0, + "event-split trace intervals are inconsistent"); + BackendInstrumentation::setCommandTracing(backend, false); std::cout << "PASS command tracing preserves execution\n"; } diff --git a/runtime/Trace.hpp b/runtime/Trace.hpp new file mode 100644 index 000000000..592b87940 --- /dev/null +++ b/runtime/Trace.hpp @@ -0,0 +1,95 @@ +#pragma once + +#include "AwakeClock.hpp" + +#include +#include +#include +#include +#include +#include + +namespace splash { + +// Optional development instrumentation. Names have static storage; events +// contain geometry and opaque ids, never prompt text, token ids or paths. +// All instants use AwakeClock/system mach time, like Metal's GPU timestamps. +struct TraceEvent final { + const char *name; + uint32_t track; + double begin; + double end; + uint64_t id = 0; + uint32_t width = 0; + uint32_t rows = 0; + uint64_t context = 0; + uint32_t flags = 0; + double value = 0.0; +}; + +class TraceSink { +public: + virtual ~TraceSink() = default; + // May run on a completion thread or under the ANE handoff's lock. Do not + // reenter the runtime or perform IO. Dropping a trace cannot fail serving. + virtual void record(const TraceEvent &event) noexcept = 0; +}; + +inline double traceSeconds() noexcept { + return std::chrono::duration(AwakeClock::now().time_since_epoch()).count(); +} + +class TraceScope final { +public: + TraceScope(TraceSink *sink, const char *name, uint32_t track = 1, + uint64_t id = 0, uint32_t width = 0, uint32_t rows = 0, + uint64_t context = 0, uint32_t flags = 0) noexcept + : sink_(sink), event_{name, track, sink ? traceSeconds() : 0.0, 0.0, + id, width, rows, context, flags} {} + ~TraceScope() { + if (sink_) { + event_.end = traceSeconds(); + sink_->record(event_); + } + } + TraceScope(const TraceScope &) = delete; + TraceScope &operator=(const TraceScope &) = delete; + +private: + TraceSink *sink_; + TraceEvent event_; +}; + +// Preallocated, bounded storage shared by engine and handoff callbacks. IO +// happens only after the workload, so a filesystem stall cannot enter its +// measured intervals. Snapshot only after producers have quiesced. +class TraceBuffer final : public TraceSink { +public: + explicit TraceBuffer(size_t capacity = 200000) : capacity_(capacity) { + events_.reserve(capacity); + } + void record(const TraceEvent &event) noexcept override { + try { + std::lock_guard lock(mutex_); + if (events_.size() < capacity_) + events_.push_back(event); + else + ++dropped_; + } catch (...) { + ++dropped_; + } + } + [[nodiscard]] std::vector snapshot() const { + std::lock_guard lock(mutex_); + return events_; + } + [[nodiscard]] uint64_t dropped() const noexcept { return dropped_.load(); } + +private: + size_t capacity_; + mutable std::mutex mutex_; + std::vector events_; + std::atomic dropped_{0}; +}; + +} // namespace splash diff --git a/runtime/ane/Handoff.hpp b/runtime/ane/Handoff.hpp index 789cb1ec5..424c29581 100644 --- a/runtime/ane/Handoff.hpp +++ b/runtime/ane/Handoff.hpp @@ -1,6 +1,7 @@ #pragma once #include "AwakeClock.hpp" +#include "Trace.hpp" #include "metal/MetalBackend.hpp" #include @@ -51,6 +52,8 @@ class Handoff final { Handoff &operator=(const Handoff &) = delete; [[nodiscard]] const metal::SharedEvent &event() const noexcept; + // Configure between commands. Shared ownership keeps late callbacks safe. + void setTraceSink(std::shared_ptr sink); // A value of the event no step has taken, for a step of the command being // encoded; once retired, one the event has reached. diff --git a/runtime/ane/Handoff.mm b/runtime/ane/Handoff.mm index 8b692761c..f2fa908fa 100644 --- a/runtime/ane/Handoff.mm +++ b/runtime/ane/Handoff.mm @@ -26,6 +26,7 @@ Phase phase = Phase::Queued; AwakeClock::time_point started{}; AwakeClock::duration ran{}; + double queued = 0.0; }; std::string seconds(AwakeClock::duration duration) { @@ -63,6 +64,9 @@ static void reached(std::shared_ptr state, uint64_t id) noexcept { if (job == state->jobs.end() || job->second.phase != Phase::Queued) return; job->second.phase = Phase::Started; job->second.started = AwakeClock::now(); + if (state->trace) + state->trace->record({"ane.queue_to_ready", 4, job->second.queued, + traceSeconds(), id}); } // dispatch_time(DISPATCH_TIME_NOW, ...) counts mach absolute time, which // stops while the Mac sleeps, as AwakeClock's CLOCK_UPTIME_RAW does. @@ -96,12 +100,20 @@ static void reported(const std::shared_ptr &state, uint64_t id, bool succ state->fail(job.phase, "an evaluation failed"); return; } - if (job.phase == Phase::Started) job.ran = AwakeClock::now() - job.started; + if (job.phase == Phase::Started) { + const auto now = AwakeClock::now(); + job.ran = now - job.started; + if (state->trace) + state->trace->record({"ane.ready_to_report", 4, + std::chrono::duration(job.started.time_since_epoch()).count(), + std::chrono::duration(now.time_since_epoch()).count(), id}); + } job.phase = Phase::Succeeded; } catch (...) { } } + std::shared_ptr trace; std::mutex mutex; std::condition_variable changed; const metal::SharedEvent event; @@ -129,6 +141,11 @@ static void reported(const std::shared_ptr &state, uint64_t id, bool succ const metal::SharedEvent &Handoff::event() const noexcept { return state_->event; } +void Handoff::setTraceSink(std::shared_ptr sink) { + std::lock_guard lock(state_->mutex); + state_->trace = std::move(sink); +} + uint64_t Handoff::next() { std::lock_guard lock(state_->mutex); ++state_->value; @@ -146,6 +163,7 @@ static void reported(const std::shared_ptr &state, uint64_t id, bool succ return; } state_->jobs.emplace(id, Job{}); + if (state_->trace) state_->jobs.at(id).queued = traceSeconds(); state_->outstanding.insert(id); } std::string failure; diff --git a/runtime/engine/Bootstrap.mm b/runtime/engine/Bootstrap.mm index 89057b0b7..646263937 100644 --- a/runtime/engine/Bootstrap.mm +++ b/runtime/engine/Bootstrap.mm @@ -312,7 +312,9 @@ RuntimeBootstrapReport reportForPlan(const EngineMemoryPlan &plan) { resources->memoryGovernor().allocationAdmission()( budget.sharedPrefillBytes + budget.sharedDecodeBytes, [&] { try { - modelRuntime = model::createRuntime(resources->modelContext()); + auto context = resources->modelContext(); + context.trace = config.nativeLoop.engine.trace; + modelRuntime = model::createRuntime(context); } catch (const metal::MetalAllocationError &error) { refusal = error.what(); throw; diff --git a/runtime/engine/Engine.cpp b/runtime/engine/Engine.cpp index 9f9675e6f..1de62caa5 100644 --- a/runtime/engine/Engine.cpp +++ b/runtime/engine/Engine.cpp @@ -114,6 +114,7 @@ void Engine::submit(EngineRequest value) { requests_.erase(found); } Request requestState; + if (config_.trace) requestState.traceStarted = traceSeconds(); requestState.exactTokens = std::move(value.prompt); requestState.promptTokens = static_cast(requestState.exactTokens.size()); requestState.replayTokens = requestState.promptTokens; @@ -152,6 +153,12 @@ void Engine::provideMask(uint64_t id, std::span words) { settle(active, {LaneOutcome::InvalidMask, std::move(*rejected)}); return; } + if (config_.trace && active.traceMaskStarted) { + config_.trace->record({ownedByActiveBatch ? "constraint.mask_roundtrip" + : "constraint.initial_mask_roundtrip", + 3, *active.traceMaskStarted, traceSeconds(), id}); + active.traceMaskStarted.reset(); + } active.maskRequestedMilliseconds.reset(); if (!ownedByActiveBatch) scheduler_.maskReady(id); @@ -168,6 +175,7 @@ bool Engine::flushRestorePoints() { } bool Engine::tick(double now) { + TraceScope tickTrace(config_.trace, "engine.tick"); model_.checkHealth(); nextHealthCheckMilliseconds_ = now + kHealthCheckIntervalMilliseconds; bool progressed = scheduler_.expireDeadlines(now); @@ -232,6 +240,8 @@ bool Engine::tick(double now) { if (pending_) { auto forwardMaskRequests = [&] { for (ModelMaskRequest &asked : pending_->ticket->takeMaskRequests()) { + if (config_.trace) + request(asked.requestId).traceMaskStarted = traceSeconds(); events_.maskRequested(asked.requestId, asked.simulationTokens); request(asked.requestId).maskRequestedMilliseconds = now; progressed = true; @@ -252,10 +262,32 @@ bool Engine::tick(double now) { return progressed; Pending command = std::move(*pending_); pending_.reset(); - std::vector results = command.ticket->wait(); - apply(command.plan, command.captures, results, command.ticket->wallMilliseconds(), - now - command.startedMilliseconds, - command.ticket->prefillTimingIsRepresentative(), now); + std::vector results; + { + TraceScope trace(config_.trace, "engine.result", 1, command.traceId); + results = command.ticket->wait(); + } + if (config_.trace) { + const double instant = traceSeconds(); + const uint32_t flags = (command.plan.kind == WorkKind::Prefill ? 1u : 0u) | + (command.ticket->prefillTimingIsRepresentative() ? 2u : 0u) | + (command.plan.constrained ? 4u : 0u); + config_.trace->record({"batch.observation", 1, instant, instant, command.traceId, + command.plan.width(), command.traceRows, command.traceContext, flags, + command.ticket->wallMilliseconds()}); + config_.trace->record({"batch.cycle", 1, instant, instant, command.traceId, + command.plan.width(), command.traceRows, command.traceContext, flags, + now - command.startedMilliseconds}); + + } + { + TraceScope trace(config_.trace, "engine.apply", 1, command.traceId, + command.plan.width(), 0, 0, + command.ticket->prefillTimingIsRepresentative() ? 1 : 0); + apply(command.plan, command.captures, results, command.ticket->wallMilliseconds(), + now - command.startedMilliseconds, + command.ticket->prefillTimingIsRepresentative(), now, command.traceId); + } busySinceMilliseconds_ = now; sweepTerminal(); return true; @@ -271,13 +303,42 @@ bool Engine::tick(double now) { if (active.lane && active.resourceWait.pending && !resourceRetryReady(active, now)) excluded.push_back(id); } - while (auto plan = scheduler_.next(excluded)) { + while (auto plan = [&] { + TraceScope trace(config_.trace, "scheduler.plan"); + return scheduler_.next(excluded); + }()) { + const uint64_t traceId = config_.trace ? ++traceSequence_ : 0; + uint32_t rows = 0; + if (config_.trace) { + for (const BatchItem &item : plan->items) + rows += plan->kind == WorkKind::Prefill ? item.tokenCount + : model::ExecutionLimits::targetVerifyRows; + } std::vector items; std::vector> captures; - switch (prepare(*plan, items, captures, now)) { + switch ([&] { + TraceScope trace(config_.trace, "engine.prepare", 1, traceId, + plan->width(), rows); + return prepare(*plan, items, captures, now); + }()) { case Prepared::Runnable: { - std::unique_ptr ticket = - model_.submit(*plan, items, completionNotifier_); + uint64_t context = 0; + if (config_.trace) { + rows = 0; // prepare may cut a chunk at a capture/resource boundary. + for (const BatchItem &item : plan->items) + rows += plan->kind == WorkKind::Prefill ? item.tokenCount + : model::ExecutionLimits::targetVerifyRows; + for (const ModelBatchItem &item : items) + context = std::max(context, item.logicalPosition); + } + std::unique_ptr ticket; + { + TraceScope trace(config_.trace, + plan->kind == WorkKind::Prefill ? "runtime.prefill_submit" + : "runtime.decode_submit", + 1, traceId, plan->width(), rows, context); + ticket = model_.submit(*plan, items, completionNotifier_); + } if (!ticket) { throw std::logic_error("model returned an empty command ticket"); } @@ -292,7 +353,7 @@ bool Engine::tick(double now) { counters_.deduplicatedKvTokens += std::exchange(lane.unreadDeduplicatedKvTokens, 0); } pending_ = Pending{std::move(*plan), std::move(captures), std::move(ticket), - busySinceMilliseconds_.value_or(now)}; + busySinceMilliseconds_.value_or(now), traceId, rows, context}; return true; } case Prepared::Yielded: @@ -441,6 +502,7 @@ ResourceWaitSnapshot Engine::resourceWaitSnapshot(double now) const { } bool Engine::admitQueued(double now) { + TraceScope trace(config_.trace, "engine.admit"); const std::optional tier = suspendedTier(); // Once pressure has preempted work, let resident lanes finish while memory // is still short before spending their released headroom on a retry or a @@ -1826,7 +1888,7 @@ MemoryReclaimResult Engine::reclaimMemory(const MemoryReclaimDirective &directiv void Engine::apply(const BatchPlan &plan, std::span> captures, std::span results, double wallMilliseconds, double cycleMilliseconds, bool representativePrefillTiming, - double now) { + double now, uint64_t traceId) { if (results.size() != plan.items.size()) { throw std::logic_error("model result count changed"); } @@ -1969,12 +2031,18 @@ void Engine::apply(const BatchPlan &plan, std::span> schedulerResults.push_back({active.request.id, result.consumedPromptTokens, complete, result.nextDecodeStage}); if (waitsForMask(result.nextDecodeStage)) { + if (config_.trace) active.traceMaskStarted = traceSeconds(); events_.maskRequested(active.request.id, {}); active.maskRequestedMilliseconds = now; } } scheduler_.complete(plan, schedulerResults, wallMilliseconds, representativePrefillTiming); + if (config_.trace) { + const double instant = traceSeconds(); + config_.trace->record({"batch.counters", 1, instant, instant, traceId, + plan.width(), outputTokens, draftedTokens, acceptedDraftTokens}); + } events_.batchCompleted(plan.kind, plan.width(), inputTokens, outputTokens, draftedTokens, acceptedDraftTokens, wallMilliseconds, cycleMilliseconds); @@ -1999,6 +2067,11 @@ bool Engine::inFlight(uint64_t id) const { } void Engine::settle(Request &active, LaneEnd end) { + if (config_.trace && active.traceMaskStarted) { + config_.trace->record({"constraint.mask_abandoned", 3, *active.traceMaskStarted, + traceSeconds(), active.request.id}); + active.traceMaskStarted.reset(); + } if (active.finalized) return; if (active.restore || inFlight(active.request.id)) { @@ -2068,6 +2141,11 @@ void Engine::vacateLane(Request &active, bool keepContinuation) { } void Engine::release(Request &active) { + if (config_.trace && active.traceStarted > 0.0) { + config_.trace->record({"request.active", 5, active.traceStarted, traceSeconds(), + active.request.id, 1, active.promptTokens}); + active.traceStarted = 0.0; + } active.resourceWait = {}; active.maskRequestedMilliseconds.reset(); if (active.lane || scheduler_.suspended(active.request.id)) { diff --git a/runtime/engine/Engine.hpp b/runtime/engine/Engine.hpp index fcfc373a2..b81664211 100644 --- a/runtime/engine/Engine.hpp +++ b/runtime/engine/Engine.hpp @@ -1,5 +1,6 @@ #pragma once +#include "Trace.hpp" #include "ops/Vision.hpp" #include "engine/Cache.hpp" #include "engine/MemoryGovernor.hpp" @@ -61,6 +62,9 @@ struct EngineConfig final { // which the pause does not hold back, or clears the mark, and returns the // mark it replaced (MemoryGovernor::setServing). std::function serving; + // Optional development trace. The owner outlives the engine; null does + // not read an instrumentation clock or allocate trace storage. + TraceSink *trace = nullptr; }; // While an active one lives, allocations are memory a request in service @@ -356,6 +360,8 @@ class Engine final { // When the engine asked the server for this lane's token mask, until the // model takes one. std::optional maskRequestedMilliseconds; + std::optional traceMaskStarted; + double traceStarted = 0.0; bool replaying = false; // Captured once the final prompt chunk completes; emitted with Done. std::vector scoreLogits; @@ -403,6 +409,9 @@ class Engine final { // Where the engine's time for this command starts: the previous // command's retirement when the engine stayed busy, else its plan. double startedMilliseconds = 0.0; + uint64_t traceId = 0; + uint32_t traceRows = 0; + uint64_t traceContext = 0; }; enum class Prepared : uint8_t { // Some lanes were admitted and the plan runs with them. @@ -630,7 +639,7 @@ class Engine final { void apply(const BatchPlan &plan, std::span> captures, std::span results, double wallMilliseconds, double cycleMilliseconds, bool representativePrefillTiming, - double nowMilliseconds); + double nowMilliseconds, uint64_t traceId); // Whether the command in flight holds the request's lane. [[nodiscard]] bool inFlight(uint64_t requestId) const; // Ends a request early. While its command or restore runs, the first end @@ -685,6 +694,7 @@ class Engine final { // finalized nor started since. [[nodiscard]] bool holdsBack(std::optional refused) const; std::function completionNotifier_; + uint64_t traceSequence_ = 0; std::optional pending_; // When the latest command retired, until a tick finds nothing to do. std::optional busySinceMilliseconds_; diff --git a/runtime/engine/NativeRuntime.cpp b/runtime/engine/NativeRuntime.cpp index 50b9b264b..f2bc708d3 100644 --- a/runtime/engine/NativeRuntime.cpp +++ b/runtime/engine/NativeRuntime.cpp @@ -41,6 +41,7 @@ NativeRuntime::NativeRuntime(NativeLoopConfig config, double idleReleaseSeconds, } bool NativeRuntime::receive(std::span bytes) { + TraceScope trace(config_.engine.trace, "frontend.receive"); if (closeConnection_) return false; try { @@ -90,6 +91,7 @@ bool NativeRuntime::finishInput() { } bool NativeRuntime::tick() { + TraceScope trace(config_.engine.trace, "native.tick"); if (closeConnection_ || !engineHealthy_) return false; try { @@ -105,6 +107,7 @@ bool NativeRuntime::tick() { } bool NativeRuntime::runControl(const std::function &control) { + TraceScope trace(config_.engine.trace, "native.control"); if (closeConnection_ || !engineHealthy_) return false; try { diff --git a/runtime/main.mm b/runtime/main.mm index e595c230d..61fa99efc 100644 --- a/runtime/main.mm +++ b/runtime/main.mm @@ -7,6 +7,15 @@ #include "engine/Status.hpp" #include "model/ModelDescriptor.hpp" +#ifdef SPLASH_NATIVE_TRACE +#include "Trace.hpp" +#include "metal/BackendInstrumentation.hpp" +#include "ops/AneFfn.hpp" +#include +#include +#include +#endif + #include #include #include @@ -289,6 +298,18 @@ int runNative(const engine::NativeArguments &arguments) { MemoryPressureMonitor pressureMonitor(transport.controlNotifier()); IdleSleepAssertion idleSleep; engine::RuntimeMetrics metrics; +#ifdef SPLASH_NATIVE_TRACE + // Only the development serving-profile executable reads this option. + // Open now to report an invalid destination before starting any workload. + std::shared_ptr trace; + std::ofstream traceOutput; + const double traceOrigin = traceSeconds(); + if (const char *path = std::getenv("SPLASH_SERVING_TRACE"); path && *path) { + traceOutput.open(path); + if (!traceOutput) throw std::runtime_error("cannot open SPLASH_SERVING_TRACE"); + trace = std::make_shared(); + } +#endif engine::RuntimeBootstrap *published = nullptr; auto statusProvider = [&] { return published->statusJson( @@ -306,6 +327,9 @@ int runNative(const engine::NativeArguments &arguments) { config.resources.memoryPressure = [&] { return pressureMonitor.pressure(); }; config.resources.cancelled = [&] { return transport.shutdownRequested(); }; config.nativeLoop.metrics = &metrics; +#ifdef SPLASH_NATIVE_TRACE + config.nativeLoop.engine.trace = trace.get(); +#endif if (arguments.preventIdleSleep) config.nativeLoop.holdingRequests = [&](bool held) { idleSleep.hold(held); }; try { @@ -333,6 +357,16 @@ int runNative(const engine::NativeArguments &arguments) { if (transport.shutdownRequested()) return static_cast(engine::NativeProcessExit::CleanEof); published = bootstrap.get(); +#ifdef SPLASH_NATIVE_TRACE + if (trace) { + auto &backend = bootstrap->resources().backend(); + metal::BackendInstrumentation::setCommandTracing(backend, true); + const auto context = bootstrap->resources().modelContext(); + if (context.aneFfn) context.aneFfn->setTraceSink(trace); + const double ready = traceSeconds(); + trace->record({"serving.ready", 1, ready, ready}); + } +#endif transport.setControlHandler([&pressureMonitor, published] { return published->controlPass(pressureMonitor.pressure()); @@ -368,6 +402,43 @@ int runNative(const engine::NativeArguments &arguments) { transport.failure() + ")"); break; } +#ifdef SPLASH_NATIVE_TRACE + if (trace) { + auto &backend = bootstrap->resources().backend(); + metal::BackendInstrumentation::setCommandTracing(backend, false); + const bool commandInFlightAtStop = backend.commandInFlight(); + for (const auto &command : metal::BackendInstrumentation::takeCommandTrace(backend)) { + trace->record({"backend.prepare", 1, command.prepareStart, command.encodeStart, + command.sequence}); + trace->record({"metal.encode", 1, command.encodeStart, command.commit, command.sequence}); + trace->record({"metal.command_span", 2, command.gpuStart, command.gpuEnd, + command.sequence}); + for (const auto &segment : command.segments) + trace->record({"gpu.segment", 2, segment.begin, segment.end, command.sequence}); + trace->record({"metal.completion", 1, command.gpuEnd, command.complete, command.sequence}); + } + traceOutput << std::setprecision(17) << "{\"traceEvents\":["; + bool first = true; + for (const TraceEvent &event : trace->snapshot()) { + if (!std::isfinite(event.begin) || !std::isfinite(event.end) || event.end < event.begin) + continue; + traceOutput << (first ? "\n" : ",\n") << "{\"name\":\"" << event.name + << "\",\"ph\":\"X\",\"pid\":1,\"tid\":" << event.track + << ",\"ts\":" << (event.begin - traceOrigin) * 1e6 + << ",\"dur\":" << (event.end - event.begin) * 1e6 + << ",\"args\":{\"id\":" << event.id << ",\"width\":" << event.width + << ",\"rows\":" << event.rows << ",\"context\":" << event.context + << ",\"flags\":" << event.flags << ",\"value\":" << event.value << "}}"; + first = false; + } + traceOutput << "\n],\"dropped_host_events\":" << trace->dropped() + << ",\"dropped_commands\":" << metal::BackendInstrumentation::droppedCommandTraces(backend) + << ",\"exit_status\":" << static_cast(exit) + << ",\"command_in_flight_at_stop\":" << (commandInFlightAtStop ? "true" : "false") + << "}\n"; + traceOutput.close(); + } +#endif return static_cast(exit); } diff --git a/runtime/metal/BackendInstrumentation.hpp b/runtime/metal/BackendInstrumentation.hpp index f13cb9700..343729da8 100644 --- a/runtime/metal/BackendInstrumentation.hpp +++ b/runtime/metal/BackendInstrumentation.hpp @@ -18,6 +18,8 @@ struct DispatchTiming { // Host and GPU instants in system mach time, in seconds. A command with // event steps spans the first through last Metal command buffer. struct CommandTrace { + struct Segment { double begin = 0.0, end = 0.0; }; + std::vector segments; uint64_t sequence = 0; uint64_t dispatches = 0; double prepareStart = 0.0; @@ -50,6 +52,7 @@ class BackendInstrumentation final { static void setCommandTracing(MetalBackend &backend, bool enabled); [[nodiscard]] static std::vector takeCommandTrace(MetalBackend &backend); + [[nodiscard]] static uint64_t droppedCommandTraces(MetalBackend &backend); }; } // namespace splash::metal diff --git a/runtime/metal/MetalBackend.mm b/runtime/metal/MetalBackend.mm index fd2d8d36e..8f093fd5d 100644 --- a/runtime/metal/MetalBackend.mm +++ b/runtime/metal/MetalBackend.mm @@ -420,6 +420,8 @@ void checkCommandHealth() { struct CommandTraceLog { std::mutex mutex; std::vector records; + uint64_t dropped = 0; + static constexpr size_t capacity = 65536; }; double traceSeconds() noexcept { @@ -487,8 +489,19 @@ void finishCommand(id command) { trace.complete = traceSeconds(); trace.gpuStart = gpuStart; trace.gpuEnd = command.GPUEndTime; + size_t segment = 0; + for (id earlier : leadingCommands) + trace.segments[segment++] = {earlier.GPUStartTime, earlier.GPUEndTime}; + trace.segments[segment] = {command.GPUStartTime, command.GPUEndTime}; std::lock_guard traceLock(traceLog->mutex); - traceLog->records.push_back(trace); + try { + if (traceLog->records.size() < CommandTraceLog::capacity) + traceLog->records.push_back(std::move(trace)); + else + ++traceLog->dropped; + } catch (...) { + ++traceLog->dropped; + } } } #endif @@ -952,6 +965,17 @@ CommandTicket commit(std::span dispatches, encodeSteps(dispatches.size()); if (encoder) [encoder endEncoding]; ticketState->leadingCommands = leading; +#ifdef SPLASH_BACKEND_INSTRUMENTATION + if (ticketState->traceLog) { + try { + ticketState->trace.segments.resize(leading.size() + 1); + } catch (...) { + std::lock_guard lock(ticketState->traceLog->mutex); + ++ticketState->traceLog->dropped; + ticketState->traceLog.reset(); + } + } +#endif // Driver callbacks only complete the ticket. Device-wide memory // telemetry is sampled on the host when consuming the result. The @@ -1447,6 +1471,11 @@ throw MetalBackendError( backend.impl_->commandTracing = enabled; } +uint64_t BackendInstrumentation::droppedCommandTraces(MetalBackend &backend) { + std::lock_guard lock(backend.impl_->traceLog->mutex); + return backend.impl_->traceLog->dropped; +} + std::vector BackendInstrumentation::takeCommandTrace(MetalBackend &backend) { std::lock_guard lock(backend.impl_->traceLog->mutex); diff --git a/runtime/model/ModelFactory.hpp b/runtime/model/ModelFactory.hpp index 8264f4592..48cc9ea47 100644 --- a/runtime/model/ModelFactory.hpp +++ b/runtime/model/ModelFactory.hpp @@ -1,5 +1,7 @@ #pragma once +#include "Trace.hpp" + #include "ops/Vision.hpp" #include "DFlashDraft.hpp" #include "ModelDescriptor.hpp" @@ -81,6 +83,8 @@ struct RuntimeContext final { const ops::ExecutionPlans &operators; // The prefill FFN's Neural Engine split (engine::startAneFfn), if any. ops::AneFfn *aneFfn = nullptr; + // Optional startup-configured observer, owned longer than all tickets. + TraceSink *trace = nullptr; }; // Validates only the interface between independently defined target and draft diff --git a/runtime/model/Runtime.cpp b/runtime/model/Runtime.cpp index 94036048e..9e05cc0a5 100644 --- a/runtime/model/Runtime.cpp +++ b/runtime/model/Runtime.cpp @@ -370,6 +370,7 @@ struct Runtime::Impl { DFlashDraft draftModel; float liveVerifyThreshold = 0.0F; ops::AneFfn *aneFfn; + TraceSink *trace = nullptr; explicit Impl(RuntimeContext value) : backend(value.backend), model(value.model), @@ -387,6 +388,7 @@ struct Runtime::Impl { value.model.target)), draftModel(value.model.draft, value.backend, operators), aneFfn(value.aneFfn) { + trace = value.trace; if (states.layout() != model.stateLayout(states.layout().target.format) || kvPages.layout() != model.targetKvLayout(kvPages.layout().format)) { throw std::invalid_argument( @@ -1965,8 +1967,23 @@ struct Runtime::Impl { decodeArena->batchSlice(DecodeTensor::LiveRows, counters.lastDecodeWidth), "live verify rows"); counters.lastDecodeLiveRows = 0; - for (uint32_t lane = 0; lane < counters.lastDecodeWidth; ++lane) + for (uint32_t lane = 0; lane < counters.lastDecodeWidth; ++lane) { counters.lastDecodeLiveRows += budgets[lane].count; + const auto &result = lanes[lane]; + if (trace && result.request->sampling.temperature <= 0.0F && result.failure.empty()) { + const double instant = traceSeconds(); + for (uint32_t position = 0; position < kDraftProposalTokens; ++position) { + // A rejection labels every later prefix false. Full acceptance + // of a truncated prefix leaves its suffix censored, not rejected. + const bool accepted = position < result.accepted; + const bool observed = accepted || result.accepted < budgets[lane].count - 1; + trace->record({"draft.confidence", 6, instant, instant, result.request->id, + counters.lastDecodeWidth, position + 1, budgets[lane].count, + uint32_t{observed} | (uint32_t{accepted} << 1), + budgets[lane].prefix_confidence[position]}); + } + } + } } counters.lastDecodeGpuSeconds = timing.gpuSeconds; counters.totalDecodeGpuSeconds += timing.gpuSeconds; @@ -2046,9 +2063,13 @@ struct Runtime::Impl { !lanes_[lane].request->maskWords.empty()); } if (masksReady) { + const auto maskReady = AwakeClock::now(); maskWaitSeconds_ += - std::chrono::duration(AwakeClock::now() - *maskWaitStarted_) - .count(); + std::chrono::duration(maskReady - *maskWaitStarted_).count(); + if (impl_.trace) + impl_.trace->record({"constraint.mask_tail_wait", 3, + std::chrono::duration(maskWaitStarted_->time_since_epoch()).count(), + std::chrono::duration(maskReady.time_since_epoch()).count()}); maskWaitStarted_.reset(); std::array entries{}; std::array maximumRetained{}; diff --git a/runtime/ops/AneFfn.hpp b/runtime/ops/AneFfn.hpp index 6bbabcc65..f278f0773 100644 --- a/runtime/ops/AneFfn.hpp +++ b/runtime/ops/AneFfn.hpp @@ -50,6 +50,7 @@ class AneFfn final { // takes every chunk its functions hold until setMinimumRows(). AneFfn(metal::MetalBackend &backend, std::span layers, uint32_t aneUnits, std::function interrupted); + void setTraceSink(std::shared_ptr sink) { handoff_.setTraceSink(std::move(sink)); } AneFfn(const AneFfn &) = delete; AneFfn &operator=(const AneFfn &) = delete; From bc09da81c3e8ef1f2f683ca132bc0c8cb8145608 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 22:53:12 +0530 Subject: [PATCH 06/22] Measure cold paired HTTP throughput and mixed streaming latency --- DEVELOPMENT.md | 3 + dev/benchmarks/deepinfer-qwen-plan.md | 22 + .../diagnostics.json | 682 ++++++++++++++++++ dev/benchmarks/serving-measurements.md | 137 ++++ dev/benchmarks/serving_regression.py | 563 +++++++++++++++ dev/benchmarks/trace_report.py | 148 ++++ dev/tests/tools/test_serving_profile.py | 137 ++++ 7 files changed, 1692 insertions(+) create mode 100644 dev/benchmarks/results/qwen-serving-trace-m5-pro/diagnostics.json create mode 100644 dev/benchmarks/serving-measurements.md create mode 100644 dev/benchmarks/serving_regression.py create mode 100644 dev/benchmarks/trace_report.py create mode 100644 dev/tests/tools/test_serving_profile.py diff --git a/DEVELOPMENT.md b/DEVELOPMENT.md index 7b02d4af7..031c1e690 100644 --- a/DEVELOPMENT.md +++ b/DEVELOPMENT.md @@ -2780,6 +2780,9 @@ projections, attention or GDN work. See the [local Qwen evaluation](dev/benchmarks/deepinfer-qwen-results.md) for measured gains, correctness coverage and remaining qualification work. +The [serving measurement tools](dev/benchmarks/serving-measurements.md) add +an instrumented native server, cold paired HTTP comparisons and a mixed +prefill/decode workload with client TTFT and streaming-gap measurements. From a source checkout with the model installed, use the native benchmark for prefill, decode and batch measurements: diff --git a/dev/benchmarks/deepinfer-qwen-plan.md b/dev/benchmarks/deepinfer-qwen-plan.md index 164ed6eff..247e1cd5e 100644 --- a/dev/benchmarks/deepinfer-qwen-plan.md +++ b/dev/benchmarks/deepinfer-qwen-plan.md @@ -6,6 +6,28 @@ variable verification shapes should follow only if measurements justify it. DeepInfer supplies useful scheduling principles, but its accelerator topology, model architecture and trained confidence head differ from Splash's. +## Execution status + +The remaining roadmap is actively tracked in +[#508](https://github.com/incoai/splash/issues/508). The initial MoE experiment +is [PR #507](https://github.com/incoai/splash/pull/507); it does not complete +all six steps. Work proceeds in independently reviewable changes, with measured +decisions for the conditional optimizations. + +| Step | Current status | Remaining gate | +| --- | --- | --- | +| 1. Runtime measurement | Native profiling complete; serving instrumentation and paired HTTP measurement in progress | Full engine/mask/ANE timeline and repeatable workload results | +| 2. Greedy MoE prefixes | Implemented and locally tested in #507 | Expanded formats/contexts and repeatable HTTP qualification | +| 3. Pending-tape GDN pruning | Experiment pending | Recurrence/state correctness and whole-cycle benefit | +| 4. Cost-aware policy | Fixed sweeps complete; adaptive evaluation pending | Held-out comparison with the best fixed policy; coordinate with #487 | +| 5. Host overhead | Native gap measured; engine-level experiment pending | Serving gain from safe reuse/preparation changes | +| 6. Mixed prefill/decode | Measurement and estimator experiment pending | Contended latency/throughput and fairness checks | + +Only this M5 Pro is available for local runs. Other GPU families will receive +a repeatable maintainer-run package; those tests remain unexecuted until their +results exist. Completing the local experiments does not qualify a shared +default or establish missing hardware coverage. + Reviewed on October 20, 2026, against these immutable source identities: | Source | Revision | diff --git a/dev/benchmarks/results/qwen-serving-trace-m5-pro/diagnostics.json b/dev/benchmarks/results/qwen-serving-trace-m5-pro/diagnostics.json new file mode 100644 index 000000000..fd126b62b --- /dev/null +++ b/dev/benchmarks/results/qwen-serving-trace-m5-pro/diagnostics.json @@ -0,0 +1,682 @@ +{ + "purpose": "instrumentation and harness validation; not policy promotion evidence", + "base_commit": "d3424cc537c8dc92949f2862342f226892d6d030", + "cold_decode_diagnostic": { + "method": "two resident servers, serial cold requests with unique cache salts, paired ABBA", + "environment": { + "power": "Now drawing from 'AC Power'\n -InternalBattery-0 (id=22478947)\t100%; charged; 0:00 remaining present: true", + "thermal": "Note: No thermal warning level has been recorded\nNote: No performance warning level has been recorded\nNote: No CPU power status has been recorded" + }, + "model": "unsloth/Qwen3.6-35B-A3B-GGUF", + "model_manifest_sha256": "fbd33ebb12696638784e67f8d0b6c7f9add5de557c39732d95de90a8194967d5", + "binaries": [ + { + "sha256": "19475127b1f932617326547c06c9b9090ab8c6a8116a0de26f1534b7bab4cce0", + "metallib_sha256": "48e790f106c9cf0e94fb77476446bd2dcc2d16ebc36bab9fb638c07367c8f304" + }, + { + "sha256": "c484e6d83f77b7427ad97e2b2a67f7c231129939a20fd02ff3034f12500b04dc", + "metallib_sha256": "53216b09444405aa1cc1aa717c7fd75bc5b292d1db4967641d4ab97a51bf8d2d" + } + ], + "settings": { + "max_context": 32768, + "max_memory": "20G", + "kv_format": "int8", + "tokens": 256, + "batch": 1 + }, + "complete": true, + "limitation": "Candidate tracing enabled; baseline tracing absent. Treat as diagnostic, not an isolated policy speed comparison.", + "cases": [ + { + "context": 2048, + "workload": "code", + "sample": 0, + "comparison": { + "rounds": [ + 0.0064579174804687495, + 0.0064007835273437496, + 0.006398495605468751, + 0.006470932941406252 + ], + "baseline": 0.006464425210937501, + "candidate": 0.00639963956640625, + "noise": 0.002013398022685905, + "regression": -0.010021872388845443, + "bound": 0.02, + "verdict": "pass", + "pass": true, + "output_equal": true, + "throughput_gain": 0.01012332708100172 + }, + "rounds": [ + { + "arm": 1, + "server": 0, + "seconds_per_token": 0.0064579174804687495, + "delta": { + "decode_cycle_ms": 1653.2268749999998, + "decode_wall_ms": 1638.7420479999998, + "decode_output_tokens": 256, + "drafted_tokens": 504, + "accepted_draft_tokens": 184 + }, + "thermal_before": "nominal", + "thermal_after": "nominal", + "responses": [ + { + "usage": { + "prompt_tokens": 2048, + "completion_tokens": 256, + "total_tokens": 2304, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "652ded9770af1989b1598e22dbf909cef4002e4c9e33909894497b24de714f23" + } + ] + }, + { + "arm": 2, + "server": 1, + "seconds_per_token": 0.0064007835273437496, + "delta": { + "decode_cycle_ms": 1638.600583, + "decode_wall_ms": 1623.750787, + "decode_output_tokens": 256, + "drafted_tokens": 504, + "accepted_draft_tokens": 184 + }, + "thermal_before": "nominal", + "thermal_after": "nominal", + "responses": [ + { + "usage": { + "prompt_tokens": 2048, + "completion_tokens": 256, + "total_tokens": 2304, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "652ded9770af1989b1598e22dbf909cef4002e4c9e33909894497b24de714f23" + } + ] + }, + { + "arm": 3, + "server": 1, + "seconds_per_token": 0.006398495605468751, + "delta": { + "decode_cycle_ms": 1638.0148750000003, + 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"accepted_draft_tokens": 184 + }, + "thermal_before": "nominal", + "thermal_after": "nominal", + "responses": [ + { + "usage": { + "prompt_tokens": 2048, + "completion_tokens": 256, + "total_tokens": 2304, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "d06aa89be53ac0e461678e32cfcff524eb5e779fe8122b37ee682887503856c5" + } + ] + } + ] + } + ] + }, + "mixed_functional": { + "complete": true, + "limitation": "Ran with installation and sanitizer activity; validates execution and tracing only, not latency improvements.", + "probes": [ + { + "sampled": { + "usage": { + "prompt_tokens": 21, + "completion_tokens": 128, + "total_tokens": 149, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "47b2757a6a0816cc4efe1887aabbbde1ea90b0f1bd08cda3fda8d810c2b10ffc" + }, + "constrained": { + "usage": { + "prompt_tokens": 18, + "completion_tokens": 99, + "total_tokens": 117, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "dc6dd3a46969f5128342ca41572bd51b3d2fd40c831fe97da33aacbf32b6d5ed" + } + }, + { + "sampled": { + "usage": { + "prompt_tokens": 21, + "completion_tokens": 128, + "total_tokens": 149, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "47b2757a6a0816cc4efe1887aabbbde1ea90b0f1bd08cda3fda8d810c2b10ffc" + }, + "constrained": { + "usage": { + "prompt_tokens": 18, + "completion_tokens": 99, + "total_tokens": 117, + "prompt_tokens_details": { + "cached_tokens": 0 + }, + "completion_tokens_details": { + "reasoning_tokens": 0 + } + }, + "message_sha256": "dc6dd3a46969f5128342ca41572bd51b3d2fd40c831fe97da33aacbf32b6d5ed" + } + } + ], + "traces": [ + { + "arm": "server-0-trace", + "events_by_name": { + "serving.ready": 1, + "native.control": 61, + "engine.admit": 361, + "scheduler.plan": 361, + "engine.tick": 1206, + "native.tick": 1206, + "frontend.receive": 147, + "engine.prepare": 307, + "runtime.prefill_submit": 12, + "engine.result": 307, + "batch.observation": 307, + "batch.cycle": 307, + "batch.counters": 307, + "engine.apply": 307, + "runtime.decode_submit": 295, + "request.active": 10, + "constraint.mask_roundtrip": 26, + "constraint.mask_tail_wait": 26, + "backend.prepare": 359, + "metal.encode": 359, + "metal.command_span": 359, + "gpu.segment": 359, + "metal.completion": 359 + }, + "dropped_host_events": 0, + "dropped_commands": 0, + "exit_status": 0, + "command_in_flight_at_stop": false + }, + { + "arm": "server-1-trace", + "events_by_name": { + "draft.confidence": 2023, + "serving.ready": 1, + "native.control": 44, + "engine.admit": 346, + "scheduler.plan": 346, + "engine.tick": 1192, + "native.tick": 1192, + "frontend.receive": 148, + "engine.prepare": 307, + "runtime.prefill_submit": 12, + "engine.result": 307, + "batch.observation": 307, + "batch.cycle": 307, + "batch.counters": 307, + "engine.apply": 307, + "runtime.decode_submit": 295, + "request.active": 10, + "constraint.mask_roundtrip": 26, + "constraint.mask_tail_wait": 26, + "backend.prepare": 359, + "metal.encode": 359, + "metal.command_span": 359, + "gpu.segment": 359, + "metal.completion": 359 + }, + "dropped_host_events": 0, + "dropped_commands": 0, + "exit_status": 0, + "command_in_flight_at_stop": false + } + ] + }, + "final_contracts": { + "complete": true, + "purpose": "final trace/counter/initial-mask contract validation, no performance claim", + "traces": [ + { + "arm": "server-0-trace", + "events_by_name": { + "serving.ready": 1, + "native.control": 38, + "engine.admit": 255, + "scheduler.plan": 255, + "engine.tick": 899, + "native.tick": 899, + "frontend.receive": 143, + "engine.prepare": 213, + "runtime.prefill_submit": 6, + "engine.result": 213, + "batch.observation": 213, + "batch.cycle": 213, + "batch.counters": 213, + "engine.apply": 213, + "runtime.decode_submit": 207, + "request.active": 6, + "constraint.initial_mask_roundtrip": 1, + "constraint.mask_roundtrip": 26, + "constraint.mask_tail_wait": 26, + "backend.prepare": 265, + "metal.encode": 265, + "metal.command_span": 265, + "gpu.segment": 265, + "metal.completion": 265 + }, + "dropped_host_events": 0, + "dropped_commands": 0, + "exit_status": 0, + "command_in_flight_at_stop": false + }, + { + "arm": "server-1-trace", + "events_by_name": { + "draft.confidence": 1141, + "serving.ready": 1, + "native.control": 27, + "engine.admit": 244, + "scheduler.plan": 244, + "engine.tick": 888, + "native.tick": 888, + "frontend.receive": 143, + "engine.prepare": 213, + "runtime.prefill_submit": 6, + "engine.result": 213, + "batch.observation": 213, + "batch.cycle": 213, + "batch.counters": 213, + "engine.apply": 213, + "runtime.decode_submit": 207, + "request.active": 6, + "constraint.initial_mask_roundtrip": 1, + "constraint.mask_roundtrip": 26, + "constraint.mask_tail_wait": 26, + "backend.prepare": 265, + "metal.encode": 265, + "metal.command_span": 265, + "gpu.segment": 265, + "metal.completion": 265 + }, + "dropped_host_events": 0, + "dropped_commands": 0, + "exit_status": 0, + "command_in_flight_at_stop": false + } + ], + "probes": [ + { + "sampled": "47b2757a6a0816cc4efe1887aabbbde1ea90b0f1bd08cda3fda8d810c2b10ffc", + "constrained": "dc6dd3a46969f5128342ca41572bd51b3d2fd40c831fe97da33aacbf32b6d5ed" + }, + { + "sampled": "47b2757a6a0816cc4efe1887aabbbde1ea90b0f1bd08cda3fda8d810c2b10ffc", + "constrained": "dc6dd3a46969f5128342ca41572bd51b3d2fd40c831fe97da33aacbf32b6d5ed" + } + ] + } +} diff --git a/dev/benchmarks/serving-measurements.md b/dev/benchmarks/serving-measurements.md new file mode 100644 index 000000000..a07bd2a91 --- /dev/null +++ b/dev/benchmarks/serving-measurements.md @@ -0,0 +1,137 @@ +# Serving measurements for the Qwen optimization roadmap + +This follow-up to [the initial MoE experiment](deepinfer-qwen-results.md) +provides the full-engine measurements required by steps 1, 4, 5 and 6 of the +[plan](deepinfer-qwen-plan.md). Tracking: [#508](https://github.com/incoai/splash/issues/508). +It adds measurement tools; no scheduling or GDN arithmetic is changed here. + +## Instrumented serving + +Build `make -j8 build/serving-profile`. This is the native protocol executable +with benchmark-only Metal instrumentation, beside `build/splash.metallib`. +The regular server can select it with `--binary build/serving-profile`. +Only this executable reads `SPLASH_SERVING_TRACE=/path/to/trace.json`; production +`build/splash` does not expose this environment option. + +An optional trace sink records the following on the awake/system mach clock: + +| Events | Meaning | +| --- | --- | +| `frontend.receive`, `native.control`, `native.tick` | Protocol processing, control work and engine advancement | +| `scheduler.plan`, `engine.admit`, `engine.prepare` | Selection and resource/cache preparation, including unsuccessful attempts | +| `runtime.prefill_submit`, `runtime.decode_submit` | Graph construction and command submission; width, rows and maximum prior history are retained | +| `engine.result`, `engine.apply` | Ticket result consumption and host application/cache/state bookkeeping | +| `constraint.initial_mask_roundtrip`, `constraint.mask_roundtrip`, `constraint.mask_tail_wait` | Initial-selection/verification mask roundtrips versus the remaining wait after target forward finishes | +| `ane.queue_to_ready`, `ane.ready_to_report` | Host event notification and report intervals; not hardware ANE execution timestamps | +| `backend.prepare`, `metal.encode`, `metal.completion` | Pipeline/binding preparation, encoding and completion notification | +| `metal.command_span`, `gpu.segment` | Whole command span and individual event-split command-buffer GPU intervals | +| `request.active` | Request lifetime, used to separate idle gaps from gaps while work is pending | +| `batch.observation`, `batch.cycle`, `batch.counters` | Ticket wall time, existing engine cycle metric, actual output/proposal/acceptance counts | +| `draft.confidence` | Existing live-prefix confidence and observed prefix survival for greedy MoE; absent when the live selector does not run | + +Host scopes overlap and cannot be summed. ANE intervals include callback delay +and can overlap GPU work. Command-buffer spans can include event waits; they +do not reveal the exact hardware duration of an individual wait instruction. +Request-active gaps can also include resource waits or constrained stages. + +The host buffer reserves 200,000 events. The command trace retains at most +65,536 commands. Overflow drops records without changing serving and is +reported. Trace IO happens after the workload. Shared ownership keeps late +ANE callbacks' sinks alive. Names have static storage; runtime events contain +geometry and opaque ids, without prompt text or token ids. Null sinks read no +instrumentation clock and allocate no trace buffer. + +`batch.observation` flags are prefill=1, representative timing=2 and +constrained=4; its value is ticket wall milliseconds. `batch.cycle` stores the +existing engine cycle milliseconds. `batch.counters` uses rows for committed +output tokens, context for proposed tokens and flags for accepted tokens. +For `draft.confidence`, rows is the one-based position, context is eligible +rows and value is cumulative selector confidence. Flags observed=1 and +accepted-prefix=2 distinguish rejection from a censored suffix. An accepted +truncated prefix does not label its unverified suffix as rejected. + +Validate and summarize a completed trace with: + +```sh +.venv/bin/python -m dev.benchmarks.trace_report build/run/server-1-trace.json \ + --output build/run/trace-summary.json +``` + +The report rejects dropped, unfinished, unsuccessful or invalid-clock traces. +It preserves prefill rows/history/width and representative flags for estimator +analysis. Full traces remain ignored build artifacts. + +## Paired cold HTTP throughput + +The new harness keeps two servers resident, then issues serial requests in +baseline/candidate/candidate/baseline order. It never contacts an existing +server. The shorter separation between arms reduces one source of thermal +drift. Enough memory must remain for both models; shared residency and GPU +cache effects limit generalization. This complements the standard sequential +release gate and does not replace it. + +Every request gets a unique cache salt, and actual cached prompt tokens must +be zero. The first smoke test found that repeating a prompt otherwise mixes +cold and cached numerical graphs: both baseline and candidate changed output +between those two conditions, while corresponding conditions matched. +Exact-context prompts, actual output budgets, all four arm measurements, +message hashes, fingerprints, thermal state and memory snapshots are retained. +Incomplete runs are marked explicitly and both servers are cleaned up. + +For final speed comparisons use production binaries **without `--trace`**: + +```sh +.venv/bin/python -m dev.benchmarks.serving_regression \ + --model unsloth/Qwen3.6-35B-A3B-GGUF --model-root /path/to/installed-model \ + --baseline-binary /path/to/baseline/build/splash --binary build/splash \ + --baseline-env SPLASH_LIVE_VERIFY_THRESHOLD=0 \ + --candidate-env SPLASH_LIVE_VERIFY_THRESHOLD=0.1 \ + --contexts 2048,8192,31744 --tokens 512 --samples 3 \ + --output build/paired-serving +``` + +The default per-server memory limit is 20 GiB. Set `--max-memory` as appropriate; +the existing engine admission/reserve rules remain in force. Widths 2–4 use +`--batch`, preferably with the smaller contexts on this machine. A requested +prompt plus output must fit `--max-context`. + +Add `--trace --probes` and select `build/serving-profile` to collect a diagnostic +timeline plus seeded sampling and multi-cycle strict-JSON checks. Trace overhead +is then part of execution, so these are diagnostic measurements. In particular, +an instrumented candidate versus an uninstrumented baseline is not an isolated +verification-policy comparison. + +## Mixed prefill and decode + +Add `--scenario mixed --batch 1 --tokens 512`. Each arm starts an active +2,048-token streaming request, waits for content, introduces the selected long +prompt after 50 ms, then a 512-token interactive request after another 50 ms. +Both arriving peers request 32 output tokens. `--arrival-delay` changes those +offsets. The harness requires actual stream/prefill overlap. + +The primary mixed metric is total workload wall seconds per output token, +including prefill and frontend work. It also records short/long HTTP TTFT and +p95/maximum content-chunk gaps during the contended interval. A content chunk +is not necessarily one token; timestamps are client arrival times. Native +decode metric deltas are retained separately. Sampling enough complete trials +is necessary before interpreting p95 as evidence about contended latency. + +## Completed local checks + +- Production/instrumented builds, engine/native-loop tests and architecture checks pass. +- Complete CPU and ASAN/UBSAN/TSAN suites pass after the instrumentation changes. +- Shader-validated backend tests cover ordinary and event-split GPU traces. +- Handoff success/failure/timeout/late-report/cancellation tests pass with a sink attached. +- Six report/environment tests and 38 existing benchmark/smoke tests pass. +- Real mixed HTTP smoke completes with matching outputs and valid seeded/strict-JSON probes. + Both traces contain 26 verification-mask roundtrips/tail waits, no dropped events and exit status zero. + The final audit adds a distinct initial-mask span, verifies cut commands' actual + row counts, and excludes provisional cancelled output from committed counters. + +[Portable diagnostics](results/qwen-serving-trace-m5-pro/diagnostics.json) +retain the numerical evidence. The three cold code diagnostics had 0.10–0.31% +spread and matching outputs; their candidate had tracing enabled, so they do +not qualify a policy speedup. The mixed smoke ran alongside installation and +sanitizer activity and is execution validation, not latency evidence. Quiet +production comparisons, dense-model ANE traces and the expanded model matrix +are the next qualification runs. diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py new file mode 100644 index 000000000..b95e58d83 --- /dev/null +++ b/dev/benchmarks/serving_regression.py @@ -0,0 +1,563 @@ +"""Paired HTTP ABBA measurements on two resident servers. + +Only one server runs a measured request at a time. Alternating resident +servers shortens the time between comparison arms without restarting or +warming a model between them. This needs enough memory for both servers; +memory pressure and their shared GPU still limit what the result generalizes +to. Use the standard sequential release gate as the independent rollout check. +""" + +from __future__ import annotations + +import argparse +import concurrent.futures +import contextlib +import hashlib +import http.client +import json +import os +import subprocess +import threading +import time +import uuid +from pathlib import Path + +from dev.benchmarks import abba +from dev.benchmarks.trace_report import percentile +from dev.tests import smoke_real as smoke + +WORKLOADS = { + "code": "Implement a thread-safe bounded LRU cache in Python with expiration, " + "type annotations, documentation and comprehensive unit tests. Explain every design choice.", + "math": "Derive the central limit theorem for independent identically distributed " + "random variables. Explain assumptions and every intermediate step in detail.", + "prose": "Explain how operating systems implement virtual memory, page tables, " + "copy-on-write and page reclamation. Give extensive examples and implementation details.", +} +METRICS = ( + "decode_cycle_ms", + "decode_wall_ms", + "decode_output_tokens", + "drafted_tokens", + "accepted_draft_tokens", +) + + +def digest(value): + return hashlib.sha256(json.dumps(value, sort_keys=True).encode()).hexdigest() + + +def fingerprint(path): + with path.open("rb") as source: + return hashlib.file_digest(source, "sha256").hexdigest() + + +def environment(): + return { + key: subprocess.check_output(command, text=True).strip() + for key, command in ( + ("power", ["pmset", "-g", "batt"]), + ("thermal", ["pmset", "-g", "therm"]), + ) + } + + +@contextlib.contextmanager +def child_environment(values): + previous = {key: os.environ.get(key) for key in values} + try: + for key, value in values.items(): + if value is None: + os.environ.pop(key, None) + else: + os.environ[key] = value + yield + finally: + for key, value in previous.items(): + if value is None: + os.environ.pop(key, None) + else: + os.environ[key] = value + + +def prepared_prompt(tokenizer, content, context, identity): + filler = tokenizer.encode( + " The service uses a durable queue with retries and transactional state.", + add_special_tokens=False, + ) + prefix = digest(identity) + "\nProject notes: " + suffix = "\n" + content + "\nGive a complete, extensive answer." + rows = context + for _ in range(12): + prompt = ( + prefix + + tokenizer.decode( + (filler * (max(rows, 0) // len(filler) + 1))[: max(rows, 0)] + ) + + suffix + ) + count = len( + tokenizer.apply_chat_template( + [{"role": "user", "content": prompt}], + tokenize=True, + return_dict=False, + add_generation_prompt=True, + enable_thinking=False, + ) + ) + if count == context: + return prompt + rows -= count - context + if rows < 0: + raise ValueError("context is too short for this workload") + raise ValueError(f"could not prepare exactly {context} prompt tokens") + + +def completion(server, args, content, tokens=None, **extra): + extra.setdefault("cache_salt", "serving-regression-" + uuid.uuid4().hex) + code, response = smoke.request( + server.port, + "POST", + "/v1/chat/completions", + smoke.chat_body( + args.model, content, max_completion_tokens=tokens or args.tokens, **extra + ), + timeout=args.request_timeout, + ) + smoke.require(code == 200, f"completion failed: HTTP {code}: {response}") + choice = response["choices"][0] + return { + "usage": response["usage"], + "finish": choice["finish_reason"], + "message_sha256": digest(choice["message"]), + "message": choice["message"], + } + + +def status(server, args): + code, result = smoke.request(server.port, "GET", "/status") + smoke.require(code == 200, "status request failed") + smoke.validate_status(result, args.kv_format) + return result + + +def measure(server, args, prompts, context): + before = status(server, args) + started = time.monotonic() + with concurrent.futures.ThreadPoolExecutor(max_workers=len(prompts)) as pool: + responses = list( + pool.map(lambda prompt: completion(server, args, prompt), prompts) + ) + elapsed = time.monotonic() - started + after = status(server, args) + smoke.require( + after["state"]["active_lanes"] == 0 and after["kv"]["pages_active"] == 0, + "request resources remain active after completion", + ) + for response in responses: + smoke.require( + response["usage"]["prompt_tokens"] == context, "prompt rows changed" + ) + smoke.require( + response["usage"].get("prompt_tokens_details", {}).get("cached_tokens", 0) + == 0, + "cold benchmark unexpectedly reused a prompt prefix", + ) + smoke.require( + response["usage"]["completion_tokens"] == args.tokens, + "workload ended before its requested output budget", + ) + delta = {key: after["metrics"][key] - before["metrics"][key] for key in METRICS} + smoke.require( + delta["decode_output_tokens"] > 0 and delta["decode_cycle_ms"] > 0, + "missing decode measurements", + ) + return { + "seconds_per_token": delta["decode_cycle_ms"] + / 1000 + / delta["decode_output_tokens"], + "wall_seconds": elapsed, + "delta": delta, + "responses": responses, + "thermal_before": before.get("thermal_state"), + "thermal_after": after.get("thermal_state"), + "memory_before": before.get("memory"), + "memory_after": after.get("memory"), + } + + +def summarize(rounds): + result = abba.compare(*(row["seconds_per_token"] for row in rounds)) + result["output_equal"] = ( + len({tuple(r["message_sha256"] for r in row["responses"]) for row in rounds}) + == 1 + ) + result["throughput_gain"] = result["baseline"] / result["candidate"] - 1 + for name in ( + "short_ttft_ms", + "long_ttft_ms", + "active_gap_p95_ms", + "active_gap_max_ms", + ): + if all(row.get(name, 0) > 0 for row in rounds): + result[name] = abba.compare(*(row[name] for row in rounds)) + return result + + +def fallback_probes(server, args): + sampled = completion( + server, + args, + "Explain binary search with annotated Python code.", + tokens=128, + temperature=0.7, + seed=1234, + ) + value = "A bounded cache keeps recent entries and expires stale values. " * 8 + schema = { + "type": "object", + "properties": {"text": {"type": "string", "const": value}}, + "required": ["text"], + "additionalProperties": False, + } + constrained = completion( + server, + args, + "Return the required JSON object.", + tokens=256, + response_format={ + "type": "json_schema", + "json_schema": {"name": "probe", "strict": True, "schema": schema}, + }, + ) + smoke.require( + json.loads(constrained["message"]["content"]) == {"text": value}, + "constrained fallback returned invalid JSON", + ) + return {"sampled": sampled, "constrained": constrained} + + +def streamed(server, args, prompt, tokens, first=None): + """Client arrival/chunk timestamps, including HTTP/tokenization latency.""" + connection = http.client.HTTPConnection( + "127.0.0.1", server.port, timeout=args.request_timeout + ) + started = time.monotonic() + chunks, text, usage = [], [], None + try: + body = smoke.chat_body( + args.model, + prompt, + max_completion_tokens=tokens, + stream=True, + stream_options={"include_usage": True}, + cache_salt="mixed-regression-" + uuid.uuid4().hex, + ) + connection.request( + "POST", + "/v1/chat/completions", + json.dumps(body), + smoke.request_headers(True), + ) + response = connection.getresponse() + smoke.require(response.status == 200, f"stream failed: HTTP {response.status}") + for line in iter(response.readline, b""): + if not line.startswith(b"data: "): + continue + payload = line[6:].strip() + if payload == b"[DONE]": + break + document = json.loads(payload) + if document.get("usage"): + usage = document["usage"] + for choice in document.get("choices", []): + content = choice.get("delta", {}).get("content") + if content: + chunks.append(time.monotonic()) + text.append(content) + if first: + first.set() + smoke.require( + chunks and usage is not None, "stream omitted content or final usage" + ) + smoke.require( + usage.get("prompt_tokens_details", {}).get("cached_tokens", 0) == 0, + "mixed workload reused a cached prompt", + ) + return { + "started": started, + "ended": time.monotonic(), + "chunks": chunks, + "ttft_ms": (chunks[0] - started) * 1000, + "usage": usage, + "message_sha256": digest("".join(text)), + } + finally: + if first: + first.set() + connection.close() + + +def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): + before = status(server, args) + started = time.monotonic() + first = threading.Event() + pool = concurrent.futures.ThreadPoolExecutor(max_workers=3) + try: + active = pool.submit(streamed, server, args, active_prompt, args.tokens, first) + smoke.require( + first.wait(min(60, args.request_timeout)), "active stream did not start" + ) + if active.done(): + active.result() + raise smoke.SmokeFailure( + "active stream ended before the contended arrivals" + ) + time.sleep(args.arrival_delay) + long = pool.submit(streamed, server, args, long_prompt, 32) + time.sleep(args.arrival_delay) + short = pool.submit(streamed, server, args, short_prompt, 32) + responses = [ + future.result(timeout=args.request_timeout) + for future in (active, long, short) + ] + finally: + # On failure the outer server cleanup closes outstanding requests; + # do not block that cleanup by waiting here for another HTTP timeout. + pool.shutdown(wait=False, cancel_futures=True) + elapsed = time.monotonic() - started + after = status(server, args) + smoke.require( + after["state"]["active_lanes"] == 0 and after["kv"]["pages_active"] == 0, + "mixed requests left resources active", + ) + active, long, short = responses + gaps = [ + (right - left) * 1000 + for left, right in zip(active["chunks"], active["chunks"][1:]) + if left < long["chunks"][0] and right > long["started"] + ] + smoke.require( + gaps and active["ended"] > long["started"], "no decode/prefill overlap occurred" + ) + total = sum(row["usage"]["completion_tokens"] for row in responses) + return { + "seconds_per_token": elapsed / total, + "wall_seconds": elapsed, + "short_ttft_ms": short["ttft_ms"], + "long_ttft_ms": long["ttft_ms"], + "active_gap_p95_ms": percentile(gaps, 0.95), + "active_gap_max_ms": max(gaps), + "overlapping_chunk_gaps": len(gaps), + "responses": responses, + "delta": { + key: after["metrics"][key] - before["metrics"][key] for key in METRICS + }, + "thermal_before": before.get("thermal_state"), + "thermal_after": after.get("thermal_state"), + "memory_before": before.get("memory"), + "memory_after": after.get("memory"), + } + + +def parse_args(): + parser = argparse.ArgumentParser(description=__doc__) + smoke.add_server_arguments(parser) + parser.add_argument("--baseline-binary", type=Path, required=True) + parser.add_argument("--contexts", default="2048,8192,31744") + parser.add_argument("--workloads", default="code,math,prose") + parser.add_argument("--samples", type=int, default=3) + parser.add_argument("--tokens", type=int, default=512) + parser.add_argument("--batch", type=int, default=1, choices=range(1, 5)) + parser.add_argument("--request-timeout", type=float, default=1200) + parser.add_argument("--baseline-env", action="append", default=[]) + parser.add_argument("--candidate-env", action="append", default=[]) + parser.add_argument("--trace", action="store_true") + parser.add_argument( + "--probes", + action="store_true", + help="exercise sampled and multi-cycle constrained fallbacks", + ) + parser.add_argument("--scenario", choices=("decode", "mixed"), default="decode") + parser.add_argument("--arrival-delay", type=float, default=0.05) + parser.add_argument("--output", type=Path, required=True) + args = smoke.resolve_server_arguments(parser.parse_args()) + args.contexts = [int(value) for value in args.contexts.split(",")] + args.workloads = args.workloads.split(",") + args.max_context = args.max_context or 32768 + args.max_memory = args.max_memory or "20G" + args.max_cache_disk = args.max_cache_disk or "0" + if args.samples < 1 or args.tokens < 8 or min(args.contexts) < 256: + parser.error( + "need positive samples, at least eight output tokens and contexts >=256" + ) + if max(args.contexts) + args.tokens > args.max_context: + parser.error("prompt plus output exceeds maximum context") + if set(args.workloads) - WORKLOADS.keys(): + parser.error("unknown workload") + if args.scenario == "mixed" and ( + args.batch != 1 or args.tokens < 128 or args.arrival_delay < 0 + ): + parser.error( + "mixed workloads need batch=1, tokens>=128 and a nonnegative arrival delay" + ) + args.environments = [] + for values in (args.baseline_env, args.candidate_env): + env = { + "HF_HUB_OFFLINE": "1", + "MTL_SHADER_VALIDATION": None, + "SPLASH_SERVING_TRACE": None, + } + for value in values: + key, separator, content = value.partition("=") + if not key or not separator: + parser.error("environment options have the form KEY=VALUE") + env[key] = content + args.environments.append(env) + return args + + +def main(): + args = parse_args() + args.output.mkdir(parents=True, exist_ok=True) + smoke.hold_model_root(args) + from transformers import AutoTokenizer + + tokenizer = AutoTokenizer.from_pretrained( + args.model_root / "tokenizer", local_files_only=True + ) + binaries = [args.baseline_binary, args.binary] + report = { + "method": "two resident servers, serial cold requests with unique cache salts, paired ABBA", + "scenario": args.scenario, + "primary_metric": "native decode cycle seconds/token" + if args.scenario == "decode" + else "total workload wall seconds/output token", + "environment": environment(), + "model": args.model, + "model_manifest_sha256": fingerprint(args.model_root / "model.json"), + "binaries": [ + { + "sha256": fingerprint(p), + "metallib_sha256": fingerprint(p.parent / "splash.metallib"), + } + for p in binaries + ], + "settings": { + "max_context": args.max_context, + "max_memory": args.max_memory, + "kv_format": args.kv_format, + "tokens": args.tokens, + "batch": args.batch, + "samples": args.samples, + "arrival_delay_seconds": args.arrival_delay, + "mixed_active_context": 2048, + "mixed_short_context": 512, + "mixed_peer_output_tokens": 32, + }, + "environments": args.environments, + "initial_status": [], + "cases": [], + "complete": False, + } + servers = [] + cleanup = contextlib.ExitStack() + try: + for index, binary in enumerate(binaries): + settings = argparse.Namespace(**{**vars(args), "binary": binary}) + env = dict(args.environments[index]) + if args.trace: + env["SPLASH_SERVING_TRACE"] = str( + (args.output / f"server-{index}-trace.json").resolve() + ) + print( + f"Starting {'baseline' if index == 0 else 'candidate'} server", + flush=True, + ) + with child_environment(env): + server = smoke.RealServer(settings) + servers.append(server) + cleanup.callback(server.close) + report["initial_status"].append(server.wait_ready(args.startup_timeout)) + print(f"Server {index} ready", flush=True) + # Alternate warmups too. No other measured request overlaps GPU work. + for _ in range(2): + for server in servers: + completion(server, args, WORKLOADS["code"], tokens=128) + for context in args.contexts: + for workload in args.workloads: + for sample in range(args.samples): + prompts = [ + prepared_prompt( + tokenizer, + WORKLOADS[workload], + context, + [workload, sample, lane], + ) + for lane in range(args.batch) + ] + rounds = [] + if args.scenario == "mixed": + active_prompt = prepared_prompt( + tokenizer, WORKLOADS["code"], 2048, ["active", sample] + ) + short_prompt = prepared_prompt( + tokenizer, WORKLOADS["prose"], 512, ["short", sample] + ) + for arm, server_index in enumerate([0, 1, 1, 0], 1): + if args.scenario == "mixed": + row = measure_mixed( + servers[server_index], + args, + active_prompt, + prompts[0], + short_prompt, + ) + else: + row = measure(servers[server_index], args, prompts, context) + row.update(arm=arm, server=server_index) + rounds.append(row) + result = summarize(rounds) + report["cases"].append( + { + "context": context, + "workload": workload, + "sample": sample, + "prompts": prompts, + "rounds": rounds, + "comparison": result, + } + ) + (args.output / "report.json").write_text( + json.dumps(report, indent=2) + "\n" + ) + print( + f"{workload} c{context} B{args.batch} sample{sample}: {abba.describe(result)}, outputs equal={result['output_equal']}", + flush=True, + ) + if args.probes: + report["probes"] = [fallback_probes(server, args) for server in servers] + report["final_status"] = [status(server, args) for server in servers] + report["final_environment"] = environment() + report["complete"] = True + except BaseException as error: + report["error"] = str(error) + raise + finally: + for index, server in enumerate(servers): + try: + server.stop() + server.log.seek(0) + (args.output / f"server-{index}.log").write_text(server.log.read()) + except Exception as error: + report.setdefault("cleanup_errors", []).append(str(error)) + try: + cleanup.close() + finally: + (args.output / "report.json").write_text( + json.dumps(report, indent=2) + "\n" + ) + + +if __name__ == "__main__": + main() diff --git a/dev/benchmarks/trace_report.py b/dev/benchmarks/trace_report.py new file mode 100644 index 000000000..8813d7b0a --- /dev/null +++ b/dev/benchmarks/trace_report.py @@ -0,0 +1,148 @@ +"""Validate a serving trace and summarize phase times and GPU gaps. + +Durations of nested host scopes overlap and must not be added. ANE intervals +are host event-notification/report times, not hardware execution timestamps. +GPU command spans may contain event waits; segment intervals retain the +actual command-buffer boundaries without claiming exact wait attribution. +""" + +from __future__ import annotations + +import argparse +import collections +import json +import math +import statistics +from pathlib import Path + + +def percentile(values, fraction): + ordered = sorted(values) + position = (len(ordered) - 1) * fraction + lower = math.floor(position) + upper = math.ceil(position) + return ordered[lower] + (ordered[upper] - ordered[lower]) * (position - lower) + + +def distribution(values): + return { + "count": len(values), + "median_ms": statistics.median(values) / 1000, + "p95_ms": percentile(values, 0.95) / 1000, + "maximum_ms": max(values) / 1000, + } + + +def summarize(document): + if document.get("dropped_host_events") or document.get("dropped_commands"): + raise ValueError("trace overflowed; shorten the traced workload") + if document.get("exit_status", 0) != 0: + raise ValueError("trace belongs to an unsuccessful serving process") + if document.get("command_in_flight_at_stop"): + raise ValueError("trace stopped before the workload completed") + groups = collections.defaultdict(list) + commands = [] + observations = [] + counters = {} + confidence = [] + active = [] + for event in document["traceEvents"]: + if event.get("ph") != "X": + continue + if ( + any( + not isinstance(event.get(key), (int, float)) + or not math.isfinite(event[key]) + for key in ("ts", "dur") + ) + or event["dur"] < 0 + or event["ts"] < 0 + ): + raise ValueError("nonfinite or invalid trace interval") + groups[event["name"]].append(event["dur"]) + if event["name"] == "request.active": + active.append((event["ts"], event["ts"] + event["dur"])) + if event["name"] == "metal.command_span": + commands.append(event) + if event["name"] == "batch.counters": + values = event["args"] + counters[values["id"]] = { + "output_tokens": values["rows"], + "proposed_tokens": values["context"], + "accepted_tokens": values["flags"], + } + if event["name"] == "draft.confidence": + values = event["args"] + confidence.append( + { + "position": values["rows"], + "eligible_rows": values["context"], + "observed": bool(values["flags"] & 1), + "accepted_prefix": bool(values["flags"] & 2), + "confidence": values["value"], + "width": values["width"], + } + ) + if event["name"] == "batch.observation": + values = event["args"] + if values["flags"] & 1: + observations.append( + { + "batch_id": values["id"], + "rows": values["rows"], + "width": values["width"], + "maximum_history": values["context"], + "representative": bool(values["flags"] & 2), + "wall_ms": values["value"], + "timestamp_us": event["ts"], + } + ) + commands.sort(key=lambda event: event["ts"]) + merged = [] + for begin, end in sorted(active): + if merged and begin <= merged[-1][1]: + merged[-1] = (merged[-1][0], max(end, merged[-1][1])) + else: + merged.append((begin, end)) + active = merged + gaps = [] + busy_gaps = [] + for previous, following in zip(commands, commands[1:]): + end = previous["ts"] + previous["dur"] + gap = following["ts"] - end + if gap < -1: + raise ValueError("GPU command spans overlap on the serial workload") + gaps.append(max(0, gap)) + if any(begin <= end and following["ts"] <= stop for begin, stop in active): + busy_gaps.append(max(0, gap)) + return { + "phase_times": {key: distribution(values) for key, values in groups.items()}, + "gpu_inter_command_gaps": distribution(gaps) if gaps else None, + "gpu_gaps_with_a_request_active": distribution(busy_gaps) + if busy_gaps + else None, + "prefill_observations": [ + {**row, **counters.get(row["batch_id"], {})} for row in observations + ], + "confidence_observations": confidence, + "notes": [ + "Nested scope durations overlap; do not sum the phase table.", + "GPU gaps include real request idleness and constrained-stage waits.", + "ANE ready/report intervals include callback latency and may overlap GPU work.", + ], + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("trace", type=Path) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + report = summarize(json.loads(args.trace.read_text())) + args.output.write_text(json.dumps(report, indent=2) + "\n") + for name, values in report["phase_times"].items(): + print(f"{name}: {values['count']} samples, median {values['median_ms']:.4f} ms") + + +if __name__ == "__main__": + main() diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py new file mode 100644 index 000000000..b547b04df --- /dev/null +++ b/dev/tests/tools/test_serving_profile.py @@ -0,0 +1,137 @@ +"""Validity boundaries of the serving trace/paired benchmark reports.""" + +import math +import os +import unittest +from unittest.mock import patch + +from dev.benchmarks import serving_regression, trace_report + + +def event(name, start, duration, **values): + return {"name": name, "ph": "X", "ts": start, "dur": duration, "args": values} + + +class TraceReportTests(unittest.TestCase): + def test_idle_time_is_not_a_busy_gpu_gap(self): + report = trace_report.summarize( + { + "traceEvents": [ + event("request.active", 0, 10), + event("metal.command_span", 1, 1), + event("metal.command_span", 3, 1), + event("request.active", 100, 10), + event("metal.command_span", 101, 1), + ] + } + ) + self.assertEqual(report["gpu_inter_command_gaps"]["count"], 2) + self.assertEqual(report["gpu_gaps_with_a_request_active"]["count"], 1) + self.assertEqual(report["gpu_gaps_with_a_request_active"]["median_ms"], 0.001) + + def test_overlapping_requests_keep_the_whole_gap_active(self): + report = trace_report.summarize( + { + "traceEvents": [ + event("request.active", 0, 3), + event("request.active", 2, 3), + event("metal.command_span", 1, 0.5), + event("metal.command_span", 4, 0.5), + ] + } + ) + self.assertEqual(report["gpu_gaps_with_a_request_active"]["count"], 1) + self.assertEqual(report["gpu_gaps_with_a_request_active"]["median_ms"], 0.0025) + + def test_partial_overflowing_and_invalid_traces_are_rejected(self): + for values in ( + {"dropped_host_events": 1}, + {"dropped_commands": 1}, + {"command_in_flight_at_stop": True}, + {"exit_status": 70}, + {"traceEvents": [event("host", -1, 1)]}, + {"traceEvents": [event("host", 0, -1)]}, + {"traceEvents": [event("host", math.nan, 1)]}, + { + "traceEvents": [ + event("metal.command_span", 0, 5), + event("metal.command_span", 2, 5), + ] + }, + ): + with self.subTest(values=values), self.assertRaises(ValueError): + trace_report.summarize({"traceEvents": [], **values}) + + def test_prefill_observations_keep_the_representative_flag(self): + report = trace_report.summarize( + { + "traceEvents": [ + event( + "batch.observation", + 1, + 0, + id=1, + flags=3, + rows=2048, + width=1, + context=8192, + value=40, + ), + event( + "batch.observation", + 2, + 0, + id=2, + flags=1, + rows=128, + width=2, + context=32, + value=5, + ), + event( + "batch.observation", + 3, + 0, + id=3, + flags=2, + rows=8, + width=1, + context=8192, + value=2, + ), + ] + } + ) + rows = report["prefill_observations"] + self.assertEqual(len(rows), 2) + self.assertTrue(rows[0]["representative"]) + self.assertFalse(rows[1]["representative"]) + self.assertEqual(rows[0]["maximum_history"], 8192) + self.assertEqual(rows[0]["wall_ms"], 40) + + +class PairedServingTests(unittest.TestCase): + def test_noisy_speedup_and_changed_outputs_do_not_disappear(self): + rows = [ + {"seconds_per_token": value, "responses": [{"message_sha256": output}]} + for value, output in [(1, "a"), (0.8, "a"), (0.8, "b"), (1.2, "a")] + ] + report = serving_regression.summarize(rows) + self.assertEqual(report["verdict"], "inconclusive") + self.assertFalse(report["output_equal"]) + + def test_child_environment_is_restored_after_failure(self): + with patch.dict(os.environ, {"TRACE_TEST_EXISTING": "original"}): + os.environ.pop("TRACE_TEST_NEW", None) + with self.assertRaises(RuntimeError): + with serving_regression.child_environment( + {"TRACE_TEST_EXISTING": "temporary", "TRACE_TEST_NEW": "yes"} + ): + self.assertEqual(os.environ["TRACE_TEST_NEW"], "yes") + raise RuntimeError("startup failed") + self.assertEqual(os.environ["TRACE_TEST_EXISTING"], "original") + self.assertNotIn("TRACE_TEST_NEW", os.environ) + + +if __name__ == "__main__": + unittest.main() From e7292fd260d1f5180df28d4deb9b9f8517740b90 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 23:31:50 +0530 Subject: [PATCH 07/22] Compare prefill estimators using only earlier trace observations --- dev/benchmarks/prefill_prediction.py | 118 +++++++++++++++++++++ dev/tests/tools/test_prefill_prediction.py | 68 ++++++++++++ 2 files changed, 186 insertions(+) create mode 100644 dev/benchmarks/prefill_prediction.py create mode 100644 dev/tests/tools/test_prefill_prediction.py diff --git a/dev/benchmarks/prefill_prediction.py b/dev/benchmarks/prefill_prediction.py new file mode 100644 index 000000000..db801ee83 --- /dev/null +++ b/dev/benchmarks/prefill_prediction.py @@ -0,0 +1,118 @@ +"""Compare prefill timing predictions using only earlier trace observations. + +This is an offline estimator experiment, not a latency or scheduling result. +Current traces retain exact history for B1; ragged widths are excluded until +per-lane geometry is present rather than fitting them to the leading lane. +""" + +from __future__ import annotations + +import argparse +import json +import math +import statistics +from pathlib import Path + +from dev.benchmarks import trace_report + + +def bucket(rows, history): + row_bucket = sum(rows > boundary for boundary in (128, 512)) + history_bucket = sum(history > boundary for boundary in (1023, 4095, 16383)) + return row_bucket, history_bucket + + +def evaluate(observations, minimum_samples=3, seed=None): + global_cost = None + if seed is not None: + if ( + seed["rows"] < 64 + or not math.isfinite(seed["wall_ms"]) + or seed["wall_ms"] <= 0 + ): + raise ValueError("invalid startup prefill seed") + global_cost = seed["wall_ms"] / seed["rows"] + buckets = {} + predictions = [] + excluded = {"nonrepresentative": 0, "small": 0, "ragged": 0} + for row in observations: + if not row["representative"]: + excluded["nonrepresentative"] += 1 + continue + if row["rows"] < 64: + excluded["small"] += 1 + continue + if row["width"] != 1: + excluded["ragged"] += 1 + continue + rows, history, actual = row["rows"], row["maximum_history"], row["wall_ms"] + if history < 0 or rows > 2048 or not math.isfinite(actual) or actual <= 0: + raise ValueError("invalid prefill observation") + key = bucket(rows, history) + count, cost = buckets.get(key, (0, 0.0)) + if global_cost is not None: + local = cost if count >= minimum_samples else global_cost + predictions.append( + { + "rows": rows, + "history": history, + "actual_ms": actual, + "ema_ms": rows * global_cost, + "bucketed_ms": rows * local, + "uses_bucket": count >= minimum_samples, + } + ) + observed = actual / rows + global_cost = ( + observed if global_cost is None else 0.75 * global_cost + 0.25 * observed + ) + buckets[key] = ( + count + 1, + observed if count == 0 else 0.75 * cost + 0.25 * observed, + ) + errors = {} + for policy in ("ema", "bucketed"): + values = [ + abs(row[f"{policy}_ms"] / row["actual_ms"] - 1) for row in predictions + ] + errors[policy] = { + "mean_absolute_relative_error": statistics.mean(values) if values else None, + "p95_absolute_relative_error": trace_report.percentile(values, 0.95) + if values + else None, + } + return { + "predictions": predictions, + "errors": errors, + "excluded": excluded, + "minimum_prior_bucket_samples": minimum_samples, + "note": "A recorded startup seed is used when present; otherwise the first observation seeds both estimators. " + "Prediction error is not measured latency or throughput benefit.", + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("traces", nargs="+", type=Path) + parser.add_argument("--output", required=True, type=Path) + args = parser.parse_args() + result = {"complete": False, "runs": []} + for path in args.traces: + summary = trace_report.summarize(json.loads(path.read_text())) + seeds = summary.get("prefill_seeds", []) + if len(seeds) > 1: + raise ValueError("multiple startup seeds require a timestamped replay") + result["runs"].append( + { + "trace": str(path), + **evaluate( + summary["prefill_observations"], seed=seeds[0] if seeds else None + ), + } + ) + result["complete"] = True + args.output.write_text(json.dumps(result, indent=2) + "\n") + + +if __name__ == "__main__": + main() diff --git a/dev/tests/tools/test_prefill_prediction.py b/dev/tests/tools/test_prefill_prediction.py new file mode 100644 index 000000000..897a24491 --- /dev/null +++ b/dev/tests/tools/test_prefill_prediction.py @@ -0,0 +1,68 @@ +import unittest + +from dev.benchmarks.prefill_prediction import evaluate + + +def observation(rows=2048, history=0, wall_ms=200, **extra): + return { + "rows": rows, + "maximum_history": history, + "wall_ms": wall_ms, + "representative": True, + "width": 1, + **extra, + } + + +class PrefillPredictionTests(unittest.TestCase): + def test_startup_seed_predicts_before_first_observation(self): + report = evaluate( + [observation(wall_ms=800)], seed={"rows": 2048, "wall_ms": 200} + ) + self.assertEqual(report["predictions"][0]["ema_ms"], 200) + self.assertEqual(report["predictions"][0]["bucketed_ms"], 200) + + def test_observation_cannot_train_its_own_prediction(self): + report = evaluate([observation(wall_ms=200), observation(wall_ms=800)]) + prediction = report["predictions"][0] + self.assertEqual(prediction["ema_ms"], 200) + self.assertEqual(prediction["bucketed_ms"], 200) + self.assertFalse(prediction["uses_bucket"]) + + def test_insufficient_history_falls_back_and_auxiliary_ragged_samples_are_excluded( + self, + ): + report = evaluate( + [ + observation(), + observation(), + observation(), + observation(wall_ms=10000, representative=False), + observation(wall_ms=10000, width=2), + observation(rows=1, wall_ms=10000), + observation(history=32000, wall_ms=800), + ] + ) + self.assertFalse(report["predictions"][-1]["uses_bucket"]) + self.assertEqual(report["predictions"][-1]["ema_ms"], 200) + self.assertEqual( + report["excluded"], {"small": 1, "nonrepresentative": 1, "ragged": 1} + ) + + def test_history_buckets_reduce_error_on_repeated_cost_regimes(self): + rows = [] + for _ in range(12): + rows += [ + observation(history=0, wall_ms=200), + observation(history=32000, wall_ms=800), + ] + report = evaluate(rows) + self.assertLess( + report["errors"]["bucketed"]["mean_absolute_relative_error"], + report["errors"]["ema"]["mean_absolute_relative_error"], + ) + self.assertTrue(report["predictions"][-1]["uses_bucket"]) + + +if __name__ == "__main__": + unittest.main() From dd62043baabb6333b2a3a5661a4d11e325a2de74 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 23:32:02 +0530 Subject: [PATCH 08/22] Retain prefill startup seeds and actual per-lane trace geometry --- dev/benchmarks/trace_report.py | 25 ++++++++++++++++++++- dev/tests/engine/engine_test.cpp | 11 +++++++-- dev/tests/tools/test_serving_profile.py | 30 +++++++++++++++++++++++++ runtime/engine/Engine.cpp | 10 ++++++++- runtime/engine/Engine.hpp | 5 +++++ 5 files changed, 77 insertions(+), 4 deletions(-) diff --git a/dev/benchmarks/trace_report.py b/dev/benchmarks/trace_report.py index 8813d7b0a..3f7beaea6 100644 --- a/dev/benchmarks/trace_report.py +++ b/dev/benchmarks/trace_report.py @@ -44,6 +44,8 @@ def summarize(document): commands = [] observations = [] counters = {} + prefill_lanes = collections.defaultdict(list) + seeds = [] confidence = [] active = [] for event in document["traceEvents"]: @@ -64,6 +66,18 @@ def summarize(document): active.append((event["ts"], event["ts"] + event["dur"])) if event["name"] == "metal.command_span": commands.append(event) + if event["name"] == "prefill.lane": + values = event["args"] + prefill_lanes[values["id"]].append( + { + "lane": values["flags"], + "rows": values["rows"], + "history": values["context"], + } + ) + if event["name"] == "prefill.seed": + values = event["args"] + seeds.append({"rows": values["rows"], "wall_ms": values["value"]}) if event["name"] == "batch.counters": values = event["args"] counters[values["id"]] = { @@ -121,8 +135,17 @@ def summarize(document): "gpu_gaps_with_a_request_active": distribution(busy_gaps) if busy_gaps else None, + "prefill_seeds": seeds, "prefill_observations": [ - {**row, **counters.get(row["batch_id"], {})} for row in observations + { + **row, + **counters.get(row["batch_id"], {}), + "lanes": sorted( + prefill_lanes.get(row["batch_id"], []), + key=lambda lane: lane["lane"], + ), + } + for row in observations ], "confidence_observations": confidence, "notes": [ diff --git a/dev/tests/engine/engine_test.cpp b/dev/tests/engine/engine_test.cpp index ebb89fb7f..22f00fa66 100644 --- a/dev/tests/engine/engine_test.cpp +++ b/dev/tests/engine/engine_test.cpp @@ -190,6 +190,7 @@ void testTraceCannotChangeExecution() { guardReleases(storage, engine); auto input = request(1, std::vector(193, 7)); input.maxNewTokens = 4; + engine.observePrefill(2048, 256.0); engine.submit(input); runUntilIdle(engine); require(events.completedCount == 1 && events.failedCount == 0, @@ -200,7 +201,7 @@ void testTraceCannotChangeExecution() { TraceBuffer trace(1024); require(run(&trace) == baseline, "tracing changed generated tokens"); const auto events = trace.snapshot(); - for (const char *name : {"scheduler.plan", "engine.prepare", "runtime.prefill_submit", + for (const char *name : {"prefill.seed", "prefill.lane", "scheduler.plan", "engine.prepare", "runtime.prefill_submit", "engine.apply", "runtime.decode_submit"}) require(std::any_of(events.begin(), events.end(), [&](const auto &event) { return std::string_view(event.name) == name; @@ -1826,9 +1827,15 @@ void testRefusedKvPastABoundaryEndsTheCommandThere() { events.failedCount == 0, "refused KV past a boundary made the lane wait, yield or fail"); std::vector measuredRows; - for (const auto &event : trace.snapshot()) + std::vector> laneGeometry; + for (const auto &event : trace.snapshot()) { if (std::string_view(event.name) == "batch.observation" && (event.flags & 1)) measuredRows.push_back(event.rows); + if (std::string_view(event.name) == "prefill.lane") + laneGeometry.emplace_back(event.rows, event.context); + } + require(laneGeometry == std::vector>{{128, 0}, {1, 128}}, + "trace lost actual per-lane rows/history after a resource cut"); require(measuredRows == std::vector{128, 1}, "trace recorded planned rows instead of the cut command's actual rows"); } diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index b547b04df..859cef034 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -62,6 +62,36 @@ def test_partial_overflowing_and_invalid_traces_are_rejected(self): with self.subTest(values=values), self.assertRaises(ValueError): trace_report.summarize({"traceEvents": [], **values}) + def test_ragged_geometry_and_startup_seed_are_retained(self): + report = trace_report.summarize( + { + "traceEvents": [ + event("prefill.seed", 0, 0, rows=2048, value=256), + event("prefill.lane", 1, 0, id=9, flags=1, rows=64, context=8192), + event("prefill.lane", 1, 0, id=9, flags=0, rows=128, context=32), + event( + "batch.observation", + 2, + 0, + id=9, + flags=3, + rows=192, + width=2, + context=8192, + value=50, + ), + ] + } + ) + self.assertEqual(report["prefill_seeds"], [{"rows": 2048, "wall_ms": 256}]) + self.assertEqual( + report["prefill_observations"][0]["lanes"], + [ + {"lane": 0, "rows": 128, "history": 32}, + {"lane": 1, "rows": 64, "history": 8192}, + ], + ) + def test_prefill_observations_keep_the_representative_flag(self): report = trace_report.summarize( { diff --git a/runtime/engine/Engine.cpp b/runtime/engine/Engine.cpp index 1de62caa5..c51a5b53f 100644 --- a/runtime/engine/Engine.cpp +++ b/runtime/engine/Engine.cpp @@ -328,8 +328,16 @@ bool Engine::tick(double now) { for (const BatchItem &item : plan->items) rows += plan->kind == WorkKind::Prefill ? item.tokenCount : model::ExecutionLimits::targetVerifyRows; - for (const ModelBatchItem &item : items) + for (uint32_t lane = 0; lane < items.size(); ++lane) { + const ModelBatchItem &item = items[lane]; context = std::max(context, item.logicalPosition); + if (plan->kind == WorkKind::Prefill) { + const double instant = traceSeconds(); + config_.trace->record({"prefill.lane", 1, instant, instant, traceId, + plan->width(), plan->items[lane].tokenCount, + item.logicalPosition, lane}); + } + } } std::unique_ptr ticket; { diff --git a/runtime/engine/Engine.hpp b/runtime/engine/Engine.hpp index b81664211..2f2269496 100644 --- a/runtime/engine/Engine.hpp +++ b/runtime/engine/Engine.hpp @@ -210,6 +210,11 @@ class Engine final { void submit(EngineRequest request); void observePrefill(uint32_t rows, double wallMilliseconds) { scheduler_.observePrefill(rows, wallMilliseconds); + if (config_.trace) { + const double instant = traceSeconds(); + config_.trace->record({"prefill.seed", 1, instant, instant, 0, 1, + rows, 0, 0, wallMilliseconds}); + } } void cancel(uint64_t requestId); void failRequest(uint64_t requestId, LaneOutcome outcome, std::string message); From 1b5367c6b5160e808396840e169a99d1de2265a8 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 23:34:40 +0530 Subject: [PATCH 09/22] Support matched sustained warmups in paired serving measurements --- dev/benchmarks/serving-measurements.md | 10 +++++++ dev/benchmarks/serving_regression.py | 40 ++++++++++++++++++++++--- dev/tests/tools/test_serving_profile.py | 33 ++++++++++++++++++++ 3 files changed, 79 insertions(+), 4 deletions(-) diff --git a/dev/benchmarks/serving-measurements.md b/dev/benchmarks/serving-measurements.md index a07bd2a91..160a85d0b 100644 --- a/dev/benchmarks/serving-measurements.md +++ b/dev/benchmarks/serving-measurements.md @@ -90,6 +90,16 @@ For final speed comparisons use production binaries **without `--trace`**: --output build/paired-serving ``` +For a sustained warmup, add `--warmup-context 2048 --warmup-tokens 512 +--warmup-seconds 10` (on one command line). Complete matched rounds alternate +between both servers until each has accumulated at least that much request +wall time. The faster arm receives the same number of warmup requests. +Warmups use unique cache salts and remain outside measured metric deltas; +counts, durations, settings and the harness source hash are recorded. This +helps investigate startup transients; it does not excuse an inconclusive +spread or establish the cause of observed noise. The default retains two +128-token warmups per arm for short functional diagnostics. + The default per-server memory limit is 20 GiB. Set `--max-memory` as appropriate; the existing engine admission/reserve rules remain in force. Widths 2–4 use `--batch`, preferably with the smaller contexts on this machine. A requested diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index b95e58d83..586394ee4 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -15,6 +15,7 @@ import hashlib import http.client import json +import math import os import subprocess import threading @@ -141,6 +142,23 @@ def status(server, args): return result +def warm_servers(servers, args, tokenizer): + elapsed = [0.0] * len(servers) + rounds = 0 + while rounds < 2 or min(elapsed) < args.warmup_seconds: + prompt = WORKLOADS["code"] + if args.warmup_context: + prompt = prepared_prompt( + tokenizer, prompt, args.warmup_context, ["warmup", rounds] + ) + for index, server in enumerate(servers): + started = time.monotonic() + completion(server, args, prompt, tokens=args.warmup_tokens) + elapsed[index] += time.monotonic() - started + rounds += 1 + return {"rounds_per_arm": rounds, "request_wall_seconds_by_arm": elapsed} + + def measure(server, args, prompts, context): before = status(server, args) started = time.monotonic() @@ -367,6 +385,9 @@ def parse_args(): parser.add_argument("--contexts", default="2048,8192,31744") parser.add_argument("--workloads", default="code,math,prose") parser.add_argument("--samples", type=int, default=3) + parser.add_argument("--warmup-context", type=int, default=0) + parser.add_argument("--warmup-tokens", type=int, default=128) + parser.add_argument("--warmup-seconds", type=float, default=0) parser.add_argument("--tokens", type=int, default=512) parser.add_argument("--batch", type=int, default=1, choices=range(1, 5)) parser.add_argument("--request-timeout", type=float, default=1200) @@ -401,6 +422,14 @@ def parse_args(): parser.error( "mixed workloads need batch=1, tokens>=128 and a nonnegative arrival delay" ) + if ( + not math.isfinite(args.warmup_seconds) + or args.warmup_seconds < 0 + or args.warmup_context < 0 + or args.warmup_tokens < 1 + or args.warmup_context + args.warmup_tokens > args.max_context + ): + parser.error("invalid warmup duration/context/output budget") args.environments = [] for values in (args.baseline_env, args.candidate_env): env = { @@ -430,6 +459,7 @@ def main(): report = { "method": "two resident servers, serial cold requests with unique cache salts, paired ABBA", "scenario": args.scenario, + "tool_sha256": fingerprint(Path(__file__)), "primary_metric": "native decode cycle seconds/token" if args.scenario == "decode" else "total workload wall seconds/output token", @@ -450,6 +480,9 @@ def main(): "tokens": args.tokens, "batch": args.batch, "samples": args.samples, + "warmup_context": args.warmup_context, + "warmup_tokens": args.warmup_tokens, + "warmup_seconds_per_arm": args.warmup_seconds, "arrival_delay_seconds": args.arrival_delay, "mixed_active_context": 2048, "mixed_short_context": 512, @@ -480,10 +513,9 @@ def main(): cleanup.callback(server.close) report["initial_status"].append(server.wait_ready(args.startup_timeout)) print(f"Server {index} ready", flush=True) - # Alternate warmups too. No other measured request overlaps GPU work. - for _ in range(2): - for server in servers: - completion(server, args, WORKLOADS["code"], tokens=128) + # Alternate complete matched warmup rounds; the faster arm never + # receives extra requests merely because it reaches the time first. + report["warmup"] = warm_servers(servers, args, tokenizer) for context in args.contexts: for workload in args.workloads: for sample in range(args.samples): diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index 859cef034..2195a3004 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -141,6 +141,39 @@ def test_prefill_observations_keep_the_representative_flag(self): class PairedServingTests(unittest.TestCase): + def test_warmup_uses_equal_matched_rounds_until_both_arms_are_ready(self): + import argparse + + args = argparse.Namespace( + warmup_context=2048, warmup_tokens=512, warmup_seconds=3 + ) + with ( + patch.object( + serving_regression, "prepared_prompt", side_effect=["a", "b", "c"] + ), + patch.object(serving_regression, "completion") as complete, + patch.object( + serving_regression.time, + "monotonic", + side_effect=[0, 3, 3, 4, 4, 7, 7, 8, 8, 11, 11, 12], + ), + ): + result = serving_regression.warm_servers(["base", "candidate"], args, None) + self.assertEqual( + result, {"rounds_per_arm": 3, "request_wall_seconds_by_arm": [9, 3]} + ) + self.assertEqual( + [(call.args[0], call.args[2]) for call in complete.call_args_list], + [ + ("base", "a"), + ("candidate", "a"), + ("base", "b"), + ("candidate", "b"), + ("base", "c"), + ("candidate", "c"), + ], + ) + def test_noisy_speedup_and_changed_outputs_do_not_disappear(self): rows = [ {"seconds_per_token": value, "responses": [{"message_sha256": output}]} From 02a1162e81b7251e343e4b72f788b5e586c7f969 Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 23:50:12 +0530 Subject: [PATCH 10/22] Experiment with bounded prefill cost buckets by rows, history, width and ANE path --- dev/benchmarks/prefill_prediction.py | 6 +- dev/benchmarks/trace_report.py | 8 ++ dev/tests/engine/ragged_scheduler_test.cpp | 136 +++++++++++++++++++-- dev/tests/tools/test_serving_profile.py | 3 + runtime/engine/Bootstrap.mm | 5 + runtime/engine/Engine.cpp | 9 +- runtime/engine/Engine.hpp | 4 + runtime/engine/Scheduler.cpp | 69 ++++++++++- runtime/engine/Scheduler.hpp | 23 +++- runtime/main.mm | 6 + 10 files changed, 252 insertions(+), 17 deletions(-) diff --git a/dev/benchmarks/prefill_prediction.py b/dev/benchmarks/prefill_prediction.py index db801ee83..fcdfe83ed 100644 --- a/dev/benchmarks/prefill_prediction.py +++ b/dev/benchmarks/prefill_prediction.py @@ -16,10 +16,10 @@ from dev.benchmarks import trace_report -def bucket(rows, history): +def bucket(rows, history, ane=False): row_bucket = sum(rows > boundary for boundary in (128, 512)) history_bucket = sum(history > boundary for boundary in (1023, 4095, 16383)) - return row_bucket, history_bucket + return row_bucket, history_bucket, ane def evaluate(observations, minimum_samples=3, seed=None): @@ -48,7 +48,7 @@ def evaluate(observations, minimum_samples=3, seed=None): rows, history, actual = row["rows"], row["maximum_history"], row["wall_ms"] if history < 0 or rows > 2048 or not math.isfinite(actual) or actual <= 0: raise ValueError("invalid prefill observation") - key = bucket(rows, history) + key = bucket(rows, history, row.get("predicted_ane", False)) count, cost = buckets.get(key, (0, 0.0)) if global_cost is not None: local = cost if count >= minimum_samples else global_cost diff --git a/dev/benchmarks/trace_report.py b/dev/benchmarks/trace_report.py index 3f7beaea6..5fa290b80 100644 --- a/dev/benchmarks/trace_report.py +++ b/dev/benchmarks/trace_report.py @@ -46,6 +46,7 @@ def summarize(document): counters = {} prefill_lanes = collections.defaultdict(list) seeds = [] + predictions = {} confidence = [] active = [] for event in document["traceEvents"]: @@ -66,6 +67,12 @@ def summarize(document): active.append((event["ts"], event["ts"] + event["dur"])) if event["name"] == "metal.command_span": commands.append(event) + if event["name"] == "prefill.prediction": + values = event["args"] + predictions[values["id"]] = { + "predicted_wall_ms": values["value"], + "predicted_ane": bool(values["flags"] & 1), + } if event["name"] == "prefill.lane": values = event["args"] prefill_lanes[values["id"]].append( @@ -140,6 +147,7 @@ def summarize(document): { **row, **counters.get(row["batch_id"], {}), + **predictions.get(row["batch_id"], {}), "lanes": sorted( prefill_lanes.get(row["batch_id"], []), key=lambda lane: lane["lane"], diff --git a/dev/tests/engine/ragged_scheduler_test.cpp b/dev/tests/engine/ragged_scheduler_test.cpp index 20e519ac6..3fd354b28 100644 --- a/dev/tests/engine/ragged_scheduler_test.cpp +++ b/dev/tests/engine/ragged_scheduler_test.cpp @@ -410,8 +410,8 @@ void testConstrainedDecodeRemainsSeparate() { "constrained decode lost its independent mask pipeline"); } -void testPrefillAndDecodeAlternateWithoutStarvation() { - engine::Scheduler scheduler(0.0); +void testPrefillAndDecodeAlternateWithoutStarvation(bool bucketed = false) { + engine::Scheduler scheduler(0.0, bucketed); scheduler.submit(request(1, 1)); scheduler.submit(request(2, 10'000)); scheduler.resourcesReady(1, 1); @@ -451,9 +451,9 @@ void runContendedPrefill(engine::Scheduler &scheduler) { completePrefill(scheduler, prefill, 500.0); } -void testDecodeRepaysItsShareOfContendedPrefill() { +void testDecodeRepaysItsShareOfContendedPrefill(bool bucketed = false) { for (const double share : {0.0, 0.5}) { - engine::Scheduler scheduler(share); + engine::Scheduler scheduler(share, bucketed); runContendedPrefill(scheduler); // At 0.5 the prefill owes 250 ms, five 50 ms decode commands; with no // share the kinds alternate one command each. @@ -545,8 +545,8 @@ void testDecodeDebtLeavesWithTheLastDecoder() { } } -void testHigherPriorityPrefillPrecedesDecodeDebt() { - engine::Scheduler scheduler(0.5); +void testHigherPriorityPrefillPrecedesDecodeDebt(bool bucketed = false) { + engine::Scheduler scheduler(0.5, bucketed); runContendedPrefill(scheduler); scheduler.submit(request(3, 20'000, false, RequestPriority::Foreground)); scheduler.resourcesReady(3, 0); @@ -613,8 +613,8 @@ void testMeasuredBudgetUsesActualRowsAndRecovers() { "prefill budget did not adapt when measured execution became faster"); } -void testMeasuredBudgetPreservesPriority() { - engine::Scheduler scheduler(0.0); +void testMeasuredBudgetPreservesPriority(bool bucketed = false) { + engine::Scheduler scheduler(0.0, bucketed); scheduler.submit(request(1, 20'000, false, RequestPriority::Foreground)); scheduler.resourcesReady(1, 0); completePrefill(scheduler, *scheduler.next({}), 4096.0); @@ -765,8 +765,8 @@ void testShortArrivalBesideLongPrefillEndsAtItsLastRow() { "two short arrivals shared a command instead of finishing in turn"); } -void testMeasuredBudgetRetainsOvertakingBound() { - engine::Scheduler scheduler(0.0); +void testMeasuredBudgetRetainsOvertakingBound(bool bucketed = false) { + engine::Scheduler scheduler(0.0, bucketed); scheduler.submit(request(1, 20'000)); scheduler.resourcesReady(1, 0); completePrefill(scheduler, *scheduler.next({}), 4096.0); @@ -1044,10 +1044,121 @@ void testReplayKeepsHeldInitialMask() { "the replay dropped the held first mask's selection"); } +// Resource cuts can produce any valid actual shape. Feed those actual +// plans through commit/complete, rather than training on capacity or looking +// at the command whose cost is being predicted. +void trainCost(Scheduler &scheduler, uint64_t id, uint32_t history, + double milliseconds, bool representative = true) { + scheduler.submit(request(id, history + 2048)); + scheduler.resourcesReady(id, history); + BatchPlan plan{.kind = WorkKind::Prefill, .items = {{id, 2048, history}}}; + completePrefill(scheduler, plan, milliseconds, representative); + scheduler.cancel(id); + scheduler.remove(id); +} + +void testBucketedCostRequiresEarlierMatchingSamples() { + Scheduler current(0.0), candidate(0.0, true); + const BatchPlan geometry{.kind = WorkKind::Prefill, .items = {{1, 2048, 0}}}; + for (uint64_t id = 1; id <= 3; ++id) { + trainCost(current, id, 0, 200); + trainCost(candidate, id, 0, 200); + if (id < 3) { + current.observePrefill(2048, 800); + candidate.observePrefill(2048, 800); + require(candidate.predictPrefill(geometry) == current.predictPrefill(geometry), + "insufficient bucket samples changed the EMA fallback"); + } + } + require(candidate.predictPrefill(geometry) == 200 && current.predictPrefill(geometry) > 300, + "matching samples did not learn their own cost regime"); + BatchPlan unfamiliar = geometry; + unfamiliar.items.front().promptOffset = 32768; + require(candidate.predictPrefill(unfamiliar) == current.predictPrefill(unfamiliar), + "an unseen history borrowed a different bucket's cost"); + unfamiliar.items.resize(5, {1, 1, 0}); + rejects([&] { (void)candidate.predictPrefill(unfamiliar); }, + "invalid prefill prediction geometry", "prediction accepted more than four lanes"); +} + +void testBucketedCostSeparatesAneAndRejectsAuxiliaryTiming() { + bool ane = true; + Scheduler scheduler(0.0, true, [&](uint32_t rows) { return ane && rows >= 512; }); + const BatchPlan geometry{.kind = WorkKind::Prefill, .items = {{1, 2048, 0}}}; + for (uint64_t id = 1; id <= 3; ++id) trainCost(scheduler, id, 0, 200); + ane = false; + for (uint64_t id = 4; id <= 6; ++id) trainCost(scheduler, id, 0, 800); + require(scheduler.predictPrefill(geometry) == 800, "GPU timing reused the split's faster samples"); + trainCost(scheduler, 7, 0, 10000, false); + require(scheduler.predictPrefill(geometry) == 800, "auxiliary/rerun time trained a text bucket"); + ane = true; + require(scheduler.predictPrefill(geometry) == 200, "split timing reused the GPU-only samples"); +} + +void testBucketedCostKeepsTheSubmittedPathWhenTheSplitRetires() { + bool split = true; + Scheduler scheduler(0.0, true, [&](uint32_t) { return split; }); + const BatchPlan geometry{.kind = WorkKind::Prefill, .items = {{1, 2048, 0}}}; + for (uint64_t id = 1; id <= 3; ++id) { + split = true; + scheduler.submit(request(id, 2048)); + scheduler.resourcesReady(id, 0); + const BatchPlan plan{.kind = WorkKind::Prefill, .items = {{id, 2048, 0}}}; + scheduler.commit(plan, {}); + split = false; // A successful command's breaker can retire it at finish. + const std::array result{StepResult{id, 2048, false, DecodeStage::Regular}}; + scheduler.complete(plan, result, 200, true); + scheduler.cancel(id); + scheduler.remove(id); + } + for (uint32_t i = 0; i < 20; ++i) scheduler.observePrefill(2048, 800); + require(scheduler.predictPrefill(geometry) > 790, + "retirement filed a split command under the subsequent GPU path"); + split = true; + require(scheduler.predictPrefill(geometry) == 200, + "submitted split timing was lost when its availability changed at completion"); +} + +void testBucketedCostUsesEveryRaggedLaneAndPreservesTheCeiling() { + Scheduler scheduler(0.0, true); + for (uint64_t round = 0; round < 3; ++round) { + const uint64_t shortId = 2 * round + 1, longId = shortId + 1; + scheduler.submit(request(shortId, 128)); + scheduler.resourcesReady(shortId, 0); + scheduler.submit(request(longId, 65536)); + scheduler.resourcesReady(longId, 32768); + const BatchPlan plan{.kind = WorkKind::Prefill, + .items = {{shortId, 128, 0}, {longId, 1920, 32768}}}; + completePrefill(scheduler, plan, 819.2); + for (uint64_t id : {shortId, longId}) { scheduler.cancel(id); scheduler.remove(id); } + } + // Make the global fallback fast. The learned high-history ragged bucket + // must still bound a batch whose leading lane has no history. + for (uint32_t i = 0; i < 20; ++i) scheduler.observePrefill(2048, 200); + scheduler.submit(request(100, 1)); + scheduler.resourcesReady(100, 1); + completeDecode(scheduler); + scheduler.submit(request(101, 128)); + scheduler.resourcesReady(101, 0); + scheduler.submit(request(102, 65536)); + scheduler.resourcesReady(102, 32768); + const BatchPlan plan = *scheduler.next({}); + require(plan.kind == WorkKind::Prefill && plan.width() == 2 && + plan.items[0].requestId == 101 && plan.items[0].tokenCount == 128 && + plan.items[1].requestId == 102 && plan.items[1].tokenCount == 896, + "bucketed planning ignored a non-leading lane's history or changed shortest-first order"); + require(scheduler.predictPrefill(plan) > 400 && scheduler.predictPrefill(plan) < 500, + "ragged prediction used the leader instead of actual per-lane rows/history"); +} + } // namespace int main() { try { + testBucketedCostRequiresEarlierMatchingSamples(); + testBucketedCostSeparatesAneAndRejectsAuxiliaryTiming(); + testBucketedCostKeepsTheSubmittedPathWhenTheSplitRetires(); + testBucketedCostUsesEveryRaggedLaneAndPreservesTheCeiling(); testAdmissionSharesDispatchOrderAndBudget(); testAdmissionRespectsContendedBudgetAndDecodePriority(); testHighestRunnablePriority(); @@ -1065,15 +1176,19 @@ int main() { testRejectedCommitCountsNothing(); testConstrainedDecodeRemainsSeparate(); testPrefillAndDecodeAlternateWithoutStarvation(); + testPrefillAndDecodeAlternateWithoutStarvation(true); testDecodeRepaysItsShareOfContendedPrefill(); + testDecodeRepaysItsShareOfContendedPrefill(true); testMaskWaitAccruesNoDecodeDebt(); testExcludedLanesAreNotPlanned(); testDecodeDebtLeavesWithTheLastDecoder(); testHigherPriorityPrefillPrecedesDecodeDebt(); + testHigherPriorityPrefillPrecedesDecodeDebt(true); testMeasuredBudgetOnlyLimitsContendedWork(); testAuxiliaryWorkDoesNotTrainTextPrefillTiming(); testMeasuredBudgetUsesActualRowsAndRecovers(); testMeasuredBudgetPreservesPriority(); + testMeasuredBudgetPreservesPriority(true); testUnavailableTimingAndMinimumBudget(); testMeasuredBudgetDoesNotCountBlockedPeers(); testMeasuredBudgetPreservesPurePrefillThroughput(); @@ -1081,6 +1196,7 @@ int main() { testMeasuredBudgetFinishesShortPrefillPromptly(); testShortArrivalBesideLongPrefillEndsAtItsLastRow(); testMeasuredBudgetRetainsOvertakingBound(); + testMeasuredBudgetRetainsOvertakingBound(true); testPriorityPrecedesWorkKindAlternation(); testPrefillCommandContainsOnePriorityTier(); testDecodeCommandContainsOnePriorityTier(); diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index 2195a3004..a4eb978f4 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -67,6 +67,7 @@ def test_ragged_geometry_and_startup_seed_are_retained(self): { "traceEvents": [ event("prefill.seed", 0, 0, rows=2048, value=256), + event("prefill.prediction", 1, 0, id=9, flags=1, value=45), event("prefill.lane", 1, 0, id=9, flags=1, rows=64, context=8192), event("prefill.lane", 1, 0, id=9, flags=0, rows=128, context=32), event( @@ -84,6 +85,8 @@ def test_ragged_geometry_and_startup_seed_are_retained(self): } ) self.assertEqual(report["prefill_seeds"], [{"rows": 2048, "wall_ms": 256}]) + self.assertEqual(report["prefill_observations"][0]["predicted_wall_ms"], 45) + self.assertTrue(report["prefill_observations"][0]["predicted_ane"]) self.assertEqual( report["prefill_observations"][0]["lanes"], [ diff --git a/runtime/engine/Bootstrap.mm b/runtime/engine/Bootstrap.mm index 646263937..022ac908c 100644 --- a/runtime/engine/Bootstrap.mm +++ b/runtime/engine/Bootstrap.mm @@ -301,6 +301,11 @@ RuntimeBootstrapReport reportForPlan(const EngineMemoryPlan &plan) { config.resources.model.hasVision() ? config.resources.maximumImagePatches : 0; + if (config.nativeLoop.engine.bucketedPrefill || config.nativeLoop.engine.trace) { + auto *split = resources->modelContext().aneFfn; + if (split) config.nativeLoop.engine.prefillUsesAne = [split](uint32_t rows) { return split->splits(rows); }; + } + std::unique_ptr modelRuntime; try { // The plan's fixed bytes already proved the arenas' sum fits. diff --git a/runtime/engine/Engine.cpp b/runtime/engine/Engine.cpp index c51a5b53f..e724244fb 100644 --- a/runtime/engine/Engine.cpp +++ b/runtime/engine/Engine.cpp @@ -60,7 +60,7 @@ std::string resourceTimeoutMessage(metal::AllocationFailure failure) { Engine::Engine(EngineConfig config, Cache &cache, model::Model &model, EngineEventSink &events) : config_(config), cache_(cache), writeBehind_(cache), model_(model), - events_(events), scheduler_(config_.decodeShare) { + events_(events), scheduler_(config_.decodeShare, config_.bucketedPrefill, config_.prefillUsesAne) { if (!config_.maxContext || !config_.vocabularySize) { throw std::invalid_argument("context and vocabulary sizes must be positive"); } @@ -328,6 +328,13 @@ bool Engine::tick(double now) { for (const BatchItem &item : plan->items) rows += plan->kind == WorkKind::Prefill ? item.tokenCount : model::ExecutionLimits::targetVerifyRows; + if (plan->kind == WorkKind::Prefill) { + const double instant = traceSeconds(); + config_.trace->record({"prefill.prediction", 1, instant, instant, traceId, + plan->width(), rows, 0, + uint32_t{config_.prefillUsesAne && config_.prefillUsesAne(rows)}, + scheduler_.predictPrefill(*plan)}); + } for (uint32_t lane = 0; lane < items.size(); ++lane) { const ModelBatchItem &item = items[lane]; context = std::max(context, item.logicalPosition); diff --git a/runtime/engine/Engine.hpp b/runtime/engine/Engine.hpp index 2f2269496..d3c9bc05d 100644 --- a/runtime/engine/Engine.hpp +++ b/runtime/engine/Engine.hpp @@ -65,6 +65,10 @@ struct EngineConfig final { // Optional development trace. The owner outlives the engine; null does // not read an instrumentation clock or allocate trace storage. TraceSink *trace = nullptr; + // Experimental bounded prefill cost buckets, disabled by default. The + // callback follows the runtime's currently available ANE split. + bool bucketedPrefill = false; + std::function prefillUsesAne; }; // While an active one lives, allocations are memory a request in service diff --git a/runtime/engine/Scheduler.cpp b/runtime/engine/Scheduler.cpp index ceb983222..eff4f5ace 100644 --- a/runtime/engine/Scheduler.cpp +++ b/runtime/engine/Scheduler.cpp @@ -320,9 +320,23 @@ uint32_t Scheduler::prefillBudget( const uint32_t maximum = model::ExecutionLimits::prefillTokenBudget; if (prefillMillisecondsPerToken_ <= 0.0) return maximum; + const auto prediction = [&](uint32_t budget) { + if (!bucketedPrefill_) return budget * prefillMillisecondsPerToken_; + std::array items{}; + uint32_t count = 0, remaining = budget; + for (const PrefillRequestView &view : ready) { + if (!remaining || view.request->spec.priority != leader.request->spec.priority || count == items.size()) + break; + const uint32_t take = std::min(view.request->spec.prefillTokens - view.promptProcessed, remaining); + items[count++] = {view.request->spec.id, take, view.promptProcessed}; + remaining -= take; + } + // With insufficient matching history, preserve the old capacity-based + // estimate exactly, even when a short leader uses fewer actual rows. + return predictPrefill(std::span(items).first(count), budget); + }; uint32_t rows = maximum; - while (rows > kMinimumPrefillRows && - rows * prefillMillisecondsPerToken_ > kContendedPrefillMilliseconds) + while (rows > kMinimumPrefillRows && prediction(rows) > kContendedPrefillMilliseconds) rows /= 2; const uint32_t leaderRemaining = leader.request->spec.prefillTokens - leader.promptProcessed; @@ -405,6 +419,8 @@ void Scheduler::commit(const BatchPlan &plan, std::span excluded } excluded_.assign(excluded.begin(), excluded.end()); active_ = plan; + activePrefillAne_ = bucketedPrefill_ && plan.kind == WorkKind::Prefill && + prefillUsesAne_ && prefillUsesAne_(prefillRows(plan.items)); lastCommittedKind_ = plan.kind; if (plan.kind == WorkKind::Prefill) { ++counters_.prefillBatches; @@ -479,6 +495,15 @@ void Scheduler::complete(const BatchPlan &plan, for (const BatchItem &item : plan.items) rows += item.tokenCount; observePrefill(rows, wallMilliseconds); + if (bucketedPrefill_ && rows >= kMinimumPrefillRows && + std::isfinite(wallMilliseconds) && wallMilliseconds > 0.0) { + PrefillCost &cost = prefillCosts_[prefillCostKey(plan.items, activePrefillAne_)]; + const double observed = wallMilliseconds / rows; + cost.millisecondsPerToken = cost.samples + ? (1.0 - kPrefillTimeWeight) * cost.millisecondsPerToken + kPrefillTimeWeight * observed + : observed; + cost.samples = std::min(3, cost.samples + 1); + } } // While requests of the same or a higher priority decode, lanes this // prefill finished included, it owes decode a share of its time; decode @@ -518,6 +543,46 @@ void Scheduler::dropStaleDecodeDebt() noexcept { decodeDebtMilliseconds_ = 0.0; } +uint32_t Scheduler::prefillRows(std::span items) { + if (items.size() > model::ExecutionLimits::maximumBatchWidth) + throw std::invalid_argument("invalid prefill prediction geometry"); + uint64_t rows = 0; + for (const BatchItem &item : items) { + if (!item.tokenCount) throw std::invalid_argument("invalid prefill prediction geometry"); + rows += item.tokenCount; + } + if (rows > model::ExecutionLimits::prefillTokenBudget) + throw std::invalid_argument("invalid prefill prediction geometry"); + return static_cast(rows); +} + +uint32_t Scheduler::prefillCostKey(std::span items, bool ane) { + const uint32_t rows = prefillRows(items); + double weightedHistory = 0.0; + for (const BatchItem &item : items) + weightedHistory += double(item.tokenCount) * item.promptOffset; + const double history = rows ? weightedHistory / rows : 0.0; + const uint32_t rowBand = uint32_t{rows > 128} + uint32_t{rows > 512}; + const uint32_t historyBand = uint32_t{history > 1023} + uint32_t{history > 4095} + uint32_t{history > 16383}; + return (((rowBand * 4 + historyBand) * model::ExecutionLimits::maximumBatchWidth + + items.size() - 1) * 2) + ane; +} + +double Scheduler::predictPrefill(std::span items, uint32_t fallbackRows) const { + if (bucketedPrefill_ && !items.empty()) { + const uint32_t rows = prefillRows(items); + const bool ane = prefillUsesAne_ && prefillUsesAne_(rows); + const PrefillCost &cost = prefillCosts_[prefillCostKey(items, ane)]; + if (cost.samples >= 3) return rows * cost.millisecondsPerToken; + } + return fallbackRows * prefillMillisecondsPerToken_; +} + +double Scheduler::predictPrefill(const BatchPlan &plan) const { + if (plan.kind != WorkKind::Prefill || plan.items.empty()) return 0.0; + return predictPrefill(plan.items, prefillRows(plan.items)); +} + void Scheduler::observePrefill(uint32_t rows, double wallMilliseconds) { // Tiny tails are dominated by fixed command costs, not prefill throughput. if (rows < kMinimumPrefillRows || !std::isfinite(wallMilliseconds) || diff --git a/runtime/engine/Scheduler.hpp b/runtime/engine/Scheduler.hpp index 27bf3b344..89e76b24e 100644 --- a/runtime/engine/Scheduler.hpp +++ b/runtime/engine/Scheduler.hpp @@ -5,6 +5,8 @@ #include #include +#include +#include #include #include #include @@ -63,10 +65,15 @@ class Scheduler final { public: // Decode time owed for each unit of time a prefill runs while requests of // equal or higher priority decode; zero alternates one command of each kind. - explicit Scheduler(double decodeShare) noexcept : decodeShare_(decodeShare) {} + explicit Scheduler(double decodeShare, bool bucketedPrefill = false, + std::function prefillUsesAne = {}) + : decodeShare_(decodeShare), bucketedPrefill_(bucketedPrefill), + prefillUsesAne_(std::move(prefillUsesAne)) {} void submit(RequestSpec request); void observePrefill(uint32_t rows, double wallMilliseconds); + // Actual command geometry, after resource/capture cuts; zero before a seed. + [[nodiscard]] double predictPrefill(const BatchPlan &plan) const; void deferAdmission(uint64_t requestId); void waitForResources(uint64_t requestId); void waitForPrefix(uint64_t requestId); @@ -147,6 +154,14 @@ class Scheduler final { // last one leaves, a later decoder starts without it. void dropStaleDecodeDebt() noexcept; + struct PrefillCost final { + double millisecondsPerToken = 0.0; + uint8_t samples = 0; + }; + [[nodiscard]] static uint32_t prefillCostKey(std::span items, bool ane); + [[nodiscard]] double predictPrefill(std::span items, uint32_t fallbackRows) const; + [[nodiscard]] static uint32_t prefillRows(std::span items); + std::unordered_map requests_; std::optional active_; // The lanes the active command was planned without. @@ -155,6 +170,12 @@ class Scheduler final { uint64_t decodeDispatchOrder_ = 0; double prefillMillisecondsPerToken_ = 0.0; double decodeShare_; + bool bucketedPrefill_ = false; + std::function prefillUsesAne_; + bool activePrefillAne_ = false; + // Three actual-row bands, four row-weighted history bands, four widths + // and the GPU/ANE path. Per-runtime storage never grows or persists. + std::array prefillCosts_{}; // Decode time that prefill still owes the lanes that decoded beside it // (not those waiting for a mask): equal-priority decode runs until its // commands' wall time has worked it off. diff --git a/runtime/main.mm b/runtime/main.mm index 61fa99efc..d4f7a1436 100644 --- a/runtime/main.mm +++ b/runtime/main.mm @@ -221,6 +221,12 @@ void printUsage(std::string_view executable) { config.resources.relaunchContext = arguments.relaunchContext; config.nativeLoop.engine.maxContext = arguments.maxContext; config.nativeLoop.engine.decodeShare = arguments.decodeShare; + if (const char *value = std::getenv("SPLASH_PREFILL_COST_MODEL")) { + const std::string_view model(value); + if (model != "ema" && model != "bucketed") + throw engine::UsageError("SPLASH_PREFILL_COST_MODEL must be ema or bucketed"); + config.nativeLoop.engine.bucketedPrefill = model == "bucketed"; + } return config; } From 545239ef1f2f609e48f9f64f5ec993615da8218a Mon Sep 17 00:00:00 2001 From: linson Date: Tue, 20 Oct 2026 23:49:35 +0530 Subject: [PATCH 11/22] Measure mixed cached and prefix-resume requests with explicit reuse checks --- dev/benchmarks/serving-measurements.md | 9 +++++ dev/benchmarks/serving_regression.py | 45 ++++++++++++++++++++++--- dev/tests/tools/test_serving_profile.py | 26 ++++++++++++++ 3 files changed, 75 insertions(+), 5 deletions(-) diff --git a/dev/benchmarks/serving-measurements.md b/dev/benchmarks/serving-measurements.md index 160a85d0b..092d2c88d 100644 --- a/dev/benchmarks/serving-measurements.md +++ b/dev/benchmarks/serving-measurements.md @@ -119,6 +119,15 @@ prompt after 50 ms, then a 512-token interactive request after another 50 ms. Both arriving peers request 32 output tokens. `--arrival-delay` changes those offsets. The harness requires actual stream/prefill overlap. +`--cache-mode cached` primes the complete long prompt before the measurement. +`--cache-mode prefix-resume` primes its leading half by character count, then +extends that shared prefix in the measured request. Each arm uses a fresh salt; +the primer must be cold, the measured long request must reuse cached tokens, +and active/interactive peers remain cold. Actual cached counts are retained. +These are RAM-prefix reuse/continuation scenarios; they do not simulate a +request suspended under memory pressure. Priming is outside the measured +interval, while restore and suffix prefill in the arriving request are inside. + The primary mixed metric is total workload wall seconds per output token, including prefill and frontend work. It also records short/long HTTP TTFT and p95/maximum content-chunk gaps during the contended interval. A content chunk diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index 586394ee4..1ca3d2c1c 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -255,7 +255,9 @@ def fallback_probes(server, args): return {"sampled": sampled, "constrained": constrained} -def streamed(server, args, prompt, tokens, first=None): +def streamed( + server, args, prompt, tokens, first=None, *, cache_salt=None, expect_cached=False +): """Client arrival/chunk timestamps, including HTTP/tokenization latency.""" connection = http.client.HTTPConnection( "127.0.0.1", server.port, timeout=args.request_timeout @@ -269,7 +271,7 @@ def streamed(server, args, prompt, tokens, first=None): max_completion_tokens=tokens, stream=True, stream_options={"include_usage": True}, - cache_salt="mixed-regression-" + uuid.uuid4().hex, + cache_salt=cache_salt or "mixed-regression-" + uuid.uuid4().hex, ) connection.request( "POST", @@ -298,9 +300,10 @@ def streamed(server, args, prompt, tokens, first=None): smoke.require( chunks and usage is not None, "stream omitted content or final usage" ) + cached = usage.get("prompt_tokens_details", {}).get("cached_tokens", 0) smoke.require( - usage.get("prompt_tokens_details", {}).get("cached_tokens", 0) == 0, - "mixed workload reused a cached prompt", + cached > 0 if expect_cached else cached == 0, + "mixed workload cache reuse does not match the requested scenario", ) return { "started": started, @@ -316,7 +319,25 @@ def streamed(server, args, prompt, tokens, first=None): connection.close() +def prepare_mixed_cache(server, args, long_prompt): + if args.cache_mode == "cold": + return None + salt = "mixed-primer-" + uuid.uuid4().hex + primer = ( + long_prompt + if args.cache_mode == "cached" + else long_prompt[: len(long_prompt) // 2] + ) + response = completion(server, args, primer, tokens=1, cache_salt=salt) + smoke.require( + response["usage"].get("prompt_tokens_details", {}).get("cached_tokens", 0) == 0, + "a fresh cache primer unexpectedly reused earlier work", + ) + return salt + + def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): + long_salt = prepare_mixed_cache(server, args, long_prompt) before = status(server, args) started = time.monotonic() first = threading.Event() @@ -332,7 +353,15 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): "active stream ended before the contended arrivals" ) time.sleep(args.arrival_delay) - long = pool.submit(streamed, server, args, long_prompt, 32) + long = pool.submit( + streamed, + server, + args, + long_prompt, + 32, + cache_salt=long_salt, + expect_cached=args.cache_mode != "cold", + ) time.sleep(args.arrival_delay) short = pool.submit(streamed, server, args, short_prompt, 32) responses = [ @@ -401,6 +430,9 @@ def parse_args(): ) parser.add_argument("--scenario", choices=("decode", "mixed"), default="decode") parser.add_argument("--arrival-delay", type=float, default=0.05) + parser.add_argument( + "--cache-mode", choices=("cold", "cached", "prefix-resume"), default="cold" + ) parser.add_argument("--output", type=Path, required=True) args = smoke.resolve_server_arguments(parser.parse_args()) args.contexts = [int(value) for value in args.contexts.split(",")] @@ -430,6 +462,8 @@ def parse_args(): or args.warmup_context + args.warmup_tokens > args.max_context ): parser.error("invalid warmup duration/context/output budget") + if args.scenario != "mixed" and args.cache_mode != "cold": + parser.error("cached and prefix-resume modes require --scenario mixed") args.environments = [] for values in (args.baseline_env, args.candidate_env): env = { @@ -480,6 +514,7 @@ def main(): "tokens": args.tokens, "batch": args.batch, "samples": args.samples, + "cache_mode": args.cache_mode, "warmup_context": args.warmup_context, "warmup_tokens": args.warmup_tokens, "warmup_seconds_per_arm": args.warmup_seconds, diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index a4eb978f4..8421b2f06 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -177,6 +177,32 @@ def test_warmup_uses_equal_matched_rounds_until_both_arms_are_ready(self): ], ) + def test_cached_and_prefix_resume_primers_share_only_the_intended_prefix(self): + import argparse + + for mode, expected in ( + ("cold", None), + ("cached", "abcdefgh"), + ("prefix-resume", "abcd"), + ): + with ( + self.subTest(mode=mode), + patch.object(serving_regression, "completion") as complete, + ): + complete.return_value = { + "usage": {"prompt_tokens_details": {"cached_tokens": 0}} + } + salt = serving_regression.prepare_mixed_cache( + "server", argparse.Namespace(cache_mode=mode), "abcdefgh" + ) + if expected is None: + self.assertIsNone(salt) + complete.assert_not_called() + else: + self.assertEqual(complete.call_args.args[2], expected) + self.assertEqual(complete.call_args.kwargs["cache_salt"], salt) + self.assertEqual(complete.call_args.kwargs["tokens"], 1) + def test_noisy_speedup_and_changed_outputs_do_not_disappear(self): rows = [ {"seconds_per_token": value, "responses": [{"message_sha256": output}]} From 18efa527a9e1dab9c28c22e71d87d1d87f9471d8 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:07:06 +0530 Subject: [PATCH 12/22] Require native mixed-work progress and support single-resident ABBA rounds --- dev/benchmarks/serving-measurements.md | 26 ++- dev/benchmarks/serving_regression.py | 221 +++++++++++++++++++++++- dev/tests/tools/test_serving_profile.py | 110 ++++++++++++ 3 files changed, 352 insertions(+), 5 deletions(-) diff --git a/dev/benchmarks/serving-measurements.md b/dev/benchmarks/serving-measurements.md index 092d2c88d..9c794c141 100644 --- a/dev/benchmarks/serving-measurements.md +++ b/dev/benchmarks/serving-measurements.md @@ -100,6 +100,14 @@ helps investigate startup transients; it does not excuse an inconclusive spread or establish the cause of observed noise. The default retains two 128-token warmups per arm for short functional diagnostics. +Use `--residency sequential --warmup-seconds 0 --warmup-rounds 4` when two +resident models cause memory pressure. This starts one server per complete +ABBA round, runs the same workload sequence and fixed number of warmup +requests, and closes it before the next arm starts. It trades longer time +between corresponding cases for natural single-server memory conditions. +Actual warmup times and per-round statuses are retained. Do not interpret +paired-resident memory-pressure results as isolated production latency. + The default per-server memory limit is 20 GiB. Set `--max-memory` as appropriate; the existing engine admission/reserve rules remain in force. Widths 2–4 use `--batch`, preferably with the smaller contexts on this machine. A requested @@ -117,7 +125,11 @@ Add `--scenario mixed --batch 1 --tokens 512`. Each arm starts an active 2,048-token streaming request, waits for content, introduces the selected long prompt after 50 ms, then a 512-token interactive request after another 50 ms. Both arriving peers request 32 output tokens. `--arrival-delay` changes those -offsets. The harness requires actual stream/prefill overlap. +offsets. The harness polls native request progress every 100 ms and requires actual +long-prefill progress while the original native request still decodes. HTTP +request overlap by itself is insufficient. Fully cached continuations with no +new prefill are labelled separately. The samples and polling interval are +retained, and the same control traffic is present in both arms. `--cache-mode cached` primes the complete long prompt before the measurement. `--cache-mode prefix-resume` primes its leading half by character count, then @@ -154,3 +166,15 @@ not qualify a policy speedup. The mixed smoke ran alongside installation and sanitizer activity and is execution validation, not latency evidence. Quiet production comparisons, dense-model ANE traces and the expanded model matrix are the next qualification runs. + +## Overlap guard audit + +The first dense ANE diagnostic used two resident servers. Both exercised real +ANE handoffs, but memory pressure serialized admission: no long prefill command +was submitted before the original decode request ended. The former client +lifetime check accepted that case. It is now rejected by native-progress +checks, with unit coverage for serialized admission and cache-restore-only +progress. That earlier capture validates handoffs/execution, not contended +prefill latency. Single-resident runs are required for this dense configuration. +Per-round memory snapshots now use the actual status schema, and scheduled +decode-width histograms are retained separately from requested concurrency. diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index 1ca3d2c1c..c5e6d323d 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -145,7 +145,9 @@ def status(server, args): def warm_servers(servers, args, tokenizer): elapsed = [0.0] * len(servers) rounds = 0 - while rounds < 2 or min(elapsed) < args.warmup_seconds: + while ( + rounds < getattr(args, "warmup_rounds", 2) or min(elapsed) < args.warmup_seconds + ): prompt = WORKLOADS["code"] if args.warmup_context: prompt = prepared_prompt( @@ -199,8 +201,14 @@ def measure(server, args, prompts, context): "responses": responses, "thermal_before": before.get("thermal_state"), "thermal_after": after.get("thermal_state"), - "memory_before": before.get("memory"), - "memory_after": after.get("memory"), + "memory_before": before.get("memory_actual"), + "memory_after": after.get("memory_actual"), + "memory_pressure_before": before.get("memory_pressure"), + "memory_pressure_after": after.get("memory_pressure"), + "decode_batches_by_width": { + key: value - before["scheduler"]["decode_batches_by_width"][key] + for key, value in after["scheduler"]["decode_batches_by_width"].items() + }, } @@ -336,7 +344,58 @@ def prepare_mixed_cache(server, args, long_prompt): return salt -def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): +def native_sample(server, args, before_short=False): + value = status(server, args) + return { + "at": time.monotonic(), + "before_short": before_short, + "prefill_rows": value["scheduler"]["prefill_rows"], + "memory_pressure": value["memory_pressure"], + "requests": value["active_requests"], + } + + +def native_overlap( + samples, active_id, context, cached, long_response, active_response, initial_rows +): + """Prove native work overlap; concurrent HTTP lifetimes alone are insufficient.""" + long_id = None + for sample in samples: + if sample["at"] >= active_response["ended"]: + continue + active = any( + row["id"] == active_id and row["phase"] == "decode" + for row in sample["requests"] + ) + if not active: + continue + peers = [ + row + for row in sample["requests"] + if row["id"] != active_id + and row["prompt_tokens"] == context + and row["max_new_tokens"] == 32 + ] + if sample["before_short"]: + if peers: + long_id = peers[0]["id"] + # No other request can have added prefill rows in this interval. + if sample["prefill_rows"] > initial_rows: + return "long-prefill" + for row in peers: + if (context != 512 or row["id"] == long_id) and row[ + "prompt_processed" + ] > cached: + return "long-prefill" + if ( + cached >= long_response["usage"]["prompt_tokens"] + and long_response["ended"] <= sample["at"] + ): + return "cached-continuation-without-prefill" + return None + + +def measure_mixed(server, args, active_prompt, long_prompt, short_prompt, context): long_salt = prepare_mixed_cache(server, args, long_prompt) before = status(server, args) started = time.monotonic() @@ -352,6 +411,16 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): raise smoke.SmokeFailure( "active stream ended before the contended arrivals" ) + initial = native_sample(server, args, before_short=True) + active_rows = [ + row for row in initial["requests"] if row["max_new_tokens"] == args.tokens + ] + smoke.require( + len(active_rows) == 1 and active_rows[0]["phase"] == "decode", + "the initial native request is no longer decoding", + ) + active_id = active_rows[0]["id"] + native_samples = [] time.sleep(args.arrival_delay) long = pool.submit( streamed, @@ -363,7 +432,11 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): expect_cached=args.cache_mode != "cold", ) time.sleep(args.arrival_delay) + native_samples.append(native_sample(server, args, before_short=True)) short = pool.submit(streamed, server, args, short_prompt, 32) + while not active.done(): + native_samples.append(native_sample(server, args)) + time.sleep(args.status_interval) responses = [ future.result(timeout=args.request_timeout) for future in (active, long, short) @@ -379,6 +452,21 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): "mixed requests left resources active", ) active, long, short = responses + cached = long["usage"].get("prompt_tokens_details", {}).get("cached_tokens", 0) + overlap = native_overlap( + native_samples, + active_id, + context, + cached, + long, + active, + initial["prefill_rows"], + ) + smoke.require( + overlap is not None, + "requests overlapped but native long prefill/continuation did not overlap decoding; " + "inspect memory/admission limits or use --residency sequential", + ) gaps = [ (right - left) * 1000 for left, right in zip(active["chunks"], active["chunks"][1:]) @@ -391,6 +479,12 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt): return { "seconds_per_token": elapsed / total, "wall_seconds": elapsed, + "native_overlap": overlap, + "native_samples": native_samples, + "decode_batches_by_width": { + key: value - before["scheduler"]["decode_batches_by_width"][key] + for key, value in after["scheduler"]["decode_batches_by_width"].items() + }, "short_ttft_ms": short["ttft_ms"], "long_ttft_ms": long["ttft_ms"], "active_gap_p95_ms": percentile(gaps, 0.95), @@ -415,6 +509,11 @@ def parse_args(): parser.add_argument("--workloads", default="code,math,prose") parser.add_argument("--samples", type=int, default=3) parser.add_argument("--warmup-context", type=int, default=0) + parser.add_argument("--warmup-rounds", type=int, default=2) + parser.add_argument( + "--residency", choices=("paired", "sequential"), default="paired" + ) + parser.add_argument("--status-interval", type=float, default=0.1) parser.add_argument("--warmup-tokens", type=int, default=128) parser.add_argument("--warmup-seconds", type=float, default=0) parser.add_argument("--tokens", type=int, default=512) @@ -464,6 +563,16 @@ def parse_args(): parser.error("invalid warmup duration/context/output budget") if args.scenario != "mixed" and args.cache_mode != "cold": parser.error("cached and prefix-resume modes require --scenario mixed") + if ( + args.warmup_rounds < 1 + or not math.isfinite(args.status_interval) + or args.status_interval <= 0 + ): + parser.error("need positive warmup rounds and status interval") + if args.residency == "sequential" and args.warmup_seconds: + parser.error( + "sequential residency uses fixed --warmup-rounds with --warmup-seconds 0" + ) args.environments = [] for values in (args.baseline_env, args.candidate_env): env = { @@ -480,6 +589,103 @@ def parse_args(): return args +def case_specs(args, tokenizer): + for context in args.contexts: + for workload in args.workloads: + for sample in range(args.samples): + yield { + "context": context, + "workload": workload, + "sample": sample, + "prompts": [ + prepared_prompt( + tokenizer, + WORKLOADS[workload], + context, + [workload, sample, lane], + ) + for lane in range(args.batch) + ], + "rounds": [], + } + + +def measure_case(server, args, tokenizer, case): + if args.scenario != "mixed": + return measure(server, args, case["prompts"], case["context"]) + active_prompt = prepared_prompt( + tokenizer, WORKLOADS["code"], 2048, ["active", case["sample"]] + ) + short_prompt = prepared_prompt( + tokenizer, WORKLOADS["prose"], 512, ["short", case["sample"]] + ) + return measure_mixed( + server, args, active_prompt, case["prompts"][0], short_prompt, case["context"] + ) + + +def run_sequential(args, tokenizer, report, binaries): + """Ordinary ABBA rounds with one owned resident server at a time.""" + report["method"] = ( + "one resident server at a time; full workload rounds in ABBA order; cold salts" + ) + report["cases"] = list(case_specs(args, tokenizer)) + report["server_runs"] = [] + report["final_status"] = [] + if args.probes: + report["probes"] = [] + path = args.output / "report.json" + try: + for arm, index in enumerate((0, 1, 1, 0), 1): + settings = argparse.Namespace(**{**vars(args), "binary": binaries[index]}) + env = dict(args.environments[index]) + if args.trace: + env["SPLASH_SERVING_TRACE"] = str( + (args.output / f"round-{arm}-trace.json").resolve() + ) + record = {"arm": arm, "server": index} + report["server_runs"].append(record) + with contextlib.ExitStack() as cleanup: + with child_environment(env): + server = smoke.RealServer(settings) + cleanup.callback(server.close) + try: + print( + f"Starting round {arm} ({'baseline' if index == 0 else 'candidate'})", + flush=True, + ) + record["initial_status"] = server.wait_ready(args.startup_timeout) + report["initial_status"].append(record["initial_status"]) + record["warmup"] = warm_servers([server], args, tokenizer) + for case in report["cases"]: + row = measure_case(server, args, tokenizer, case) + row.update(arm=arm, server=index) + case["rounds"].append(row) + if len(case["rounds"]) == 4: + case["comparison"] = summarize(case["rounds"]) + print( + f"{case['workload']} c{case['context']} B{args.batch} sample{case['sample']}: " + f"{abba.describe(case['comparison'])}", + flush=True, + ) + path.write_text(json.dumps(report, indent=2) + "\n") + if args.probes: + report["probes"].append(fallback_probes(server, args)) + record["final_status"] = status(server, args) + report["final_status"].append(record["final_status"]) + finally: + server.stop() + server.log.seek(0) + (args.output / f"round-{arm}.log").write_text(server.log.read()) + report["final_environment"] = environment() + report["complete"] = True + except BaseException as error: + report["error"] = str(error) + raise + finally: + path.write_text(json.dumps(report, indent=2) + "\n") + + def main(): args = parse_args() args.output.mkdir(parents=True, exist_ok=True) @@ -493,6 +699,7 @@ def main(): report = { "method": "two resident servers, serial cold requests with unique cache salts, paired ABBA", "scenario": args.scenario, + "residency": args.residency, "tool_sha256": fingerprint(Path(__file__)), "primary_metric": "native decode cycle seconds/token" if args.scenario == "decode" @@ -515,6 +722,8 @@ def main(): "batch": args.batch, "samples": args.samples, "cache_mode": args.cache_mode, + "warmup_rounds": args.warmup_rounds, + "status_interval_seconds": args.status_interval, "warmup_context": args.warmup_context, "warmup_tokens": args.warmup_tokens, "warmup_seconds_per_arm": args.warmup_seconds, @@ -528,6 +737,9 @@ def main(): "cases": [], "complete": False, } + if args.residency == "sequential": + run_sequential(args, tokenizer, report, binaries) + return servers = [] cleanup = contextlib.ExitStack() try: @@ -579,6 +791,7 @@ def main(): active_prompt, prompts[0], short_prompt, + context, ) else: row = measure(servers[server_index], args, prompts, context) diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index 8421b2f06..b07197dfc 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -203,6 +203,116 @@ def test_cached_and_prefix_resume_primers_share_only_the_intended_prefix(self): self.assertEqual(complete.call_args.kwargs["cache_salt"], salt) self.assertEqual(complete.call_args.kwargs["tokens"], 1) + def test_native_overlap_rejects_serial_admission_and_cache_restore_only(self): + active = {"ended": 10} + long = {"ended": 20, "usage": {"prompt_tokens": 8192}} + decoder = { + "id": 1, + "phase": "decode", + "max_new_tokens": 512, + "prompt_tokens": 2048, + } + peer = { + "id": 2, + "phase": "prefill", + "max_new_tokens": 32, + "prompt_tokens": 8192, + "prompt_processed": 0, + } + sample = { + "at": 4, + "before_short": False, + "prefill_rows": 2048, + "requests": [decoder, peer], + } + self.assertIsNone( + serving_regression.native_overlap([sample], 1, 8192, 0, long, active, 2048) + ) + peer["prompt_processed"] = 4096 + sample["prefill_rows"] = 6144 + self.assertEqual( + serving_regression.native_overlap([sample], 1, 8192, 0, long, active, 2048), + "long-prefill", + ) + self.assertIsNone( + serving_regression.native_overlap( + [sample], 1, 8192, 4096, long, active, 2048 + ) + ) + sample["at"] = 12 + self.assertIsNone( + serving_regression.native_overlap([sample], 1, 8192, 0, long, active, 2048) + ) + + def test_sequential_residency_closes_each_server_before_starting_the_next(self): + import argparse + import io + import tempfile + from pathlib import Path + + live, order = [], [] + + class Server: + def __init__(self, settings): + self.side = str(settings.binary) + if live: + raise AssertionError("two servers were resident") + live.append(self) + order.append(self.side) + self.log = io.StringIO("server log") + + def wait_ready(self, timeout): + return {} + + def stop(self): + if self in live: + live.remove(self) + + def close(self): + self.stop() + self.log.close() + + with tempfile.TemporaryDirectory() as directory: + args = argparse.Namespace( + output=Path(directory), + trace=False, + probes=False, + environments=[{}, {}], + startup_timeout=1, + batch=1, + ) + report = {"initial_status": [], "complete": False} + case = { + "context": 2048, + "workload": "code", + "sample": 0, + "prompts": ["p"], + "rounds": [], + } + with ( + patch.object( + serving_regression, "case_specs", return_value=iter([case]) + ), + patch.object(serving_regression.smoke, "RealServer", Server), + patch.object(serving_regression, "warm_servers", return_value={}), + patch.object(serving_regression, "status", return_value={}), + patch.object(serving_regression, "environment", return_value={}), + patch.object( + serving_regression, + "measure_case", + side_effect=lambda *a: {"seconds_per_token": 1, "responses": []}, + ), + ): + serving_regression.run_sequential( + args, None, report, [Path("base"), Path("candidate")] + ) + self.assertTrue(report["complete"]) + self.assertEqual( + [row["arm"] for row in report["cases"][0]["rounds"]], [1, 2, 3, 4] + ) + self.assertEqual(order, ["base", "candidate", "candidate", "base"]) + self.assertFalse(live) + def test_noisy_speedup_and_changed_outputs_do_not_disappear(self): rows = [ {"seconds_per_token": value, "responses": [{"message_sha256": output}]} From 5effce37b8f267ba18c231064ab2abed263dfd2f Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:15:34 +0530 Subject: [PATCH 13/22] Reject stale status snapshots when proving native work overlap --- dev/benchmarks/serving_regression.py | 2 ++ 1 file changed, 2 insertions(+) diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index c5e6d323d..cae802da3 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -346,6 +346,8 @@ def prepare_mixed_cache(server, args, long_prompt): def native_sample(server, args, before_short=False): value = status(server, args) + smoke.require(not value.get("transport", {}).get("status_stale", False), + "stale native status cannot prove work overlap") return { "at": time.monotonic(), "before_short": before_short, From 03503e939bdb85258aa30edabe432bfadb874335 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:37:13 +0530 Subject: [PATCH 14/22] Format the native status freshness guard for CI --- dev/benchmarks/serving_regression.py | 6 ++++-- 1 file changed, 4 insertions(+), 2 deletions(-) diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index cae802da3..721eb1fd2 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -346,8 +346,10 @@ def prepare_mixed_cache(server, args, long_prompt): def native_sample(server, args, before_short=False): value = status(server, args) - smoke.require(not value.get("transport", {}).get("status_stale", False), - "stale native status cannot prove work overlap") + smoke.require( + not value.get("transport", {}).get("status_stale", False), + "stale native status cannot prove work overlap", + ) return { "at": time.monotonic(), "before_short": before_short, From d870fe7c182058389c2e9e4db9b2ae5e34ae07ca Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:43:35 +0530 Subject: [PATCH 15/22] Include ragged scheduling policy cases in ASAN UBSAN and TSAN suites --- dev/native.mk | 7 +++++++ 1 file changed, 7 insertions(+) diff --git a/dev/native.mk b/dev/native.mk index fecccbf9a..e3142fcd8 100644 --- a/dev/native.mk +++ b/dev/native.mk @@ -45,6 +45,8 @@ TEST_PROTOCOL_ASAN := $(ENGINE_SANITIZER_BUILD)/protocol-asan-ubsan TEST_PROTOCOL_TSAN := $(ENGINE_SANITIZER_BUILD)/protocol-tsan TEST_ENGINE_ASAN := $(ENGINE_SANITIZER_BUILD)/engine-asan-ubsan TEST_ENGINE_TSAN := $(ENGINE_SANITIZER_BUILD)/engine-tsan +TEST_RAGGED_SCHEDULER_ASAN := $(ENGINE_SANITIZER_BUILD)/ragged-scheduler-asan-ubsan +TEST_RAGGED_SCHEDULER_TSAN := $(ENGINE_SANITIZER_BUILD)/ragged-scheduler-tsan TEST_FD_TRANSPORT_ASAN := $(ENGINE_SANITIZER_BUILD)/native-fd-asan-ubsan TEST_FD_TRANSPORT_TSAN := $(ENGINE_SANITIZER_BUILD)/native-fd-tsan TEST_ANE_FFN_CALIBRATION_ASAN := $(ENGINE_SANITIZER_BUILD)/ane-ffn-calibration-asan-ubsan @@ -223,6 +225,7 @@ SANITIZER_CONFIG_TARGETS := $(TEST_SLOT_FILE_ASAN) $(TEST_SLOT_FILE_TSAN) \ $(TEST_ENGINE_CACHE_ASAN) $(TEST_ENGINE_CACHE_TSAN) \ $(TEST_PROTOCOL_ASAN) $(TEST_PROTOCOL_TSAN) \ $(TEST_ENGINE_ASAN) $(TEST_ENGINE_TSAN) \ + $(TEST_RAGGED_SCHEDULER_ASAN) $(TEST_RAGGED_SCHEDULER_TSAN) \ $(TEST_FD_TRANSPORT_ASAN) $(TEST_FD_TRANSPORT_TSAN) \ $(TEST_ANE_FFN_CALIBRATION_ASAN) $(TEST_ANE_FFN_CALIBRATION_TSAN) @@ -610,6 +613,8 @@ $(TEST_ENGINE_TEST) $(TEST_ENGINE_ASAN) $(TEST_ENGINE_TSAN): \ $(BACKEND_CONTROL_SOURCES) \ dev/benchmarks/PrefillWork.hpp \ dev/tests/engine/engine_test.cpp +$(TEST_RAGGED_SCHEDULER_ASAN) $(TEST_RAGGED_SCHEDULER_TSAN): \ + runtime/engine/Scheduler.cpp dev/tests/engine/ragged_scheduler_test.cpp $(TEST_FD_TRANSPORT_TEST) $(TEST_FD_TRANSPORT_ASAN) $(TEST_FD_TRANSPORT_TSAN): \ $(NATIVE_RUNTIME_SOURCES) \ runtime/engine/FdTransport.cpp \ @@ -641,6 +646,8 @@ test-sanitizers: $(SANITIZER_CONFIG_TARGETS) $(TSAN_TEST_ENV) $(TEST_PROTOCOL_TSAN) dev/tests/engine/protocol_golden.txt $(ASAN_TEST_ENV) $(TEST_ENGINE_ASAN) $(TSAN_TEST_ENV) $(TEST_ENGINE_TSAN) + $(ASAN_TEST_ENV) $(TEST_RAGGED_SCHEDULER_ASAN) + $(TSAN_TEST_ENV) $(TEST_RAGGED_SCHEDULER_TSAN) $(ASAN_TEST_ENV) $(TEST_FD_TRANSPORT_ASAN) $(TSAN_TEST_ENV) $(TEST_FD_TRANSPORT_TSAN) $(ASAN_TEST_ENV) $(TEST_ANE_FFN_CALIBRATION_ASAN) From 8fd7b6cb437e37515f53471481384c7f9a87e6fc Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:44:41 +0530 Subject: [PATCH 16/22] Evaluate ragged prefill predictions with all lane histories and separate ANE paths --- dev/benchmarks/prefill_prediction.py | 41 +++++++++++++++++----- dev/tests/tools/test_prefill_prediction.py | 28 +++++++++++++++ 2 files changed, 61 insertions(+), 8 deletions(-) diff --git a/dev/benchmarks/prefill_prediction.py b/dev/benchmarks/prefill_prediction.py index fcdfe83ed..48132ed93 100644 --- a/dev/benchmarks/prefill_prediction.py +++ b/dev/benchmarks/prefill_prediction.py @@ -1,8 +1,8 @@ """Compare prefill timing predictions using only earlier trace observations. This is an offline estimator experiment, not a latency or scheduling result. -Current traces retain exact history for B1; ragged widths are excluded until -per-lane geometry is present rather than fitting them to the leading lane. +Ragged batches require exact per-lane geometry and use row-weighted history. +Execution paths and batch widths have separate bounded sample histories. """ from __future__ import annotations @@ -16,10 +16,10 @@ from dev.benchmarks import trace_report -def bucket(rows, history, ane=False): +def bucket(rows, history): row_bucket = sum(rows > boundary for boundary in (128, 512)) history_bucket = sum(history > boundary for boundary in (1023, 4095, 16383)) - return row_bucket, history_bucket, ane + return row_bucket, history_bucket def evaluate(observations, minimum_samples=3, seed=None): @@ -42,13 +42,33 @@ def evaluate(observations, minimum_samples=3, seed=None): if row["rows"] < 64: excluded["small"] += 1 continue - if row["width"] != 1: + rows, history, actual = row["rows"], row["maximum_history"], row["wall_ms"] + width = row["width"] + if not 1 <= width <= 4: + raise ValueError("invalid prefill width") + lanes = row.get("lanes", []) + if lanes: + if ( + len(lanes) != width + or {lane["lane"] for lane in lanes} != set(range(width)) + or sum(lane["rows"] for lane in lanes) != rows + or any(lane["rows"] <= 0 or lane["history"] < 0 for lane in lanes) + ): + raise ValueError("invalid ragged prefill geometry") + history = sum(lane["rows"] * lane["history"] for lane in lanes) / rows + elif width != 1: excluded["ragged"] += 1 continue - rows, history, actual = row["rows"], row["maximum_history"], row["wall_ms"] - if history < 0 or rows > 2048 or not math.isfinite(actual) or actual <= 0: + if ( + not math.isfinite(history) + or history < 0 + or rows > 2048 + or not math.isfinite(actual) + or actual <= 0 + ): raise ValueError("invalid prefill observation") - key = bucket(rows, history, row.get("predicted_ane", False)) + path = row.get("predicted_ane") + key = (*bucket(rows, history), width, path) count, cost = buckets.get(key, (0, 0.0)) if global_cost is not None: local = cost if count >= minimum_samples else global_cost @@ -56,10 +76,13 @@ def evaluate(observations, minimum_samples=3, seed=None): { "rows": rows, "history": history, + "width": width, + "predicted_ane": path, "actual_ms": actual, "ema_ms": rows * global_cost, "bucketed_ms": rows * local, "uses_bucket": count >= minimum_samples, + "recorded_prediction_ms": row.get("predicted_wall_ms"), } ) observed = actual / rows @@ -87,6 +110,8 @@ def evaluate(observations, minimum_samples=3, seed=None): "excluded": excluded, "minimum_prior_bucket_samples": minimum_samples, "note": "A recorded startup seed is used when present; otherwise the first observation seeds both estimators. " + "Ragged history is row-weighted across every lane; width and GPU/ANE path have separate cells. " + "Missing execution-path metadata is kept separate from known GPU/ANE paths. " "Prediction error is not measured latency or throughput benefit.", } diff --git a/dev/tests/tools/test_prefill_prediction.py b/dev/tests/tools/test_prefill_prediction.py index 897a24491..1ffbebc95 100644 --- a/dev/tests/tools/test_prefill_prediction.py +++ b/dev/tests/tools/test_prefill_prediction.py @@ -63,6 +63,34 @@ def test_history_buckets_reduce_error_on_repeated_cost_regimes(self): ) self.assertTrue(report["predictions"][-1]["uses_bucket"]) + def test_ragged_history_includes_nonleading_lane_and_width_has_own_cell(self): + lanes = [ + {"lane": 0, "rows": 128, "history": 0}, + {"lane": 1, "rows": 896, "history": 32000}, + ] + rows = [ + observation(rows=1024, history=32000, wall_ms=800, width=2, lanes=lanes) + ] * 4 + rows += [observation(rows=1024, history=28000, wall_ms=800)] + report = evaluate(rows) + self.assertTrue(report["predictions"][-2]["uses_bucket"]) + self.assertEqual(report["predictions"][-2]["history"], 28000) + self.assertFalse(report["predictions"][-1]["uses_bucket"]) + self.assertEqual(report["excluded"]["ragged"], 0) + rows[0] = {**rows[0], "lanes": [lanes[0]]} + with self.assertRaisesRegex(ValueError, "ragged"): + evaluate(rows) + + def test_gpu_and_ane_costs_use_distinct_prior_samples(self): + rows = [observation(predicted_ane=True)] * 3 + rows += [ + observation(predicted_ane=False, wall_ms=800), + observation(predicted_ane=True), + ] + report = evaluate(rows) + self.assertFalse(report["predictions"][-2]["uses_bucket"]) + self.assertTrue(report["predictions"][-1]["uses_bucket"]) + if __name__ == "__main__": unittest.main() From f121bd649437ed9e37669bf83c67c7d5ba4df1e1 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:45:35 +0530 Subject: [PATCH 17/22] Document prefill estimator contract and qualification gates --- dev/benchmarks/prefill-cost-model.md | 100 +++++++++++++++++++++++++++ 1 file changed, 100 insertions(+) create mode 100644 dev/benchmarks/prefill-cost-model.md diff --git a/dev/benchmarks/prefill-cost-model.md b/dev/benchmarks/prefill-cost-model.md new file mode 100644 index 000000000..e6a0c4885 --- /dev/null +++ b/dev/benchmarks/prefill-cost-model.md @@ -0,0 +1,100 @@ +# Bounded context-aware prefill cost experiment + +This implements the conditional scheduler experiment in step 6 of +[#508](https://github.com/incoai/splash/issues/508). It is based on measurement +base `bc09da81`, with subsequent HTTP-harness fixes. Set +`SPLASH_PREFILL_COST_MODEL=bucketed` to enable it; `ema` or an absent variable +keeps the existing policy. Invalid values fail startup with a usage error. +**The default stays EMA.** Local serving qualification is in progress. + +## Problem and evidence + +The baseline estimates prefill time as new rows multiplied by one global +milliseconds-per-token EWMA. Equal row counts can cost differently at long +history or on the ANE split path. A ragged command can include a short leading +request and a much longer-history second lane; the leading request alone does +not describe its cost. + +Ordinary single-resident mixed-load traces now retain the startup seed, exact +row count/history for every submitted lane, expected execution path, and the +prediction made before each observation. They confirm actual prefill progress +while another native request decodes. Earlier dual-server dense traces were +serialized by admission pressure and are excluded from contended-latency claims. + +Prequential offline evaluation of four newer MoE control traces (74–75 eligible +observations each, including actual two-lane ragged commands) reduces mean +absolute relative prediction error from 9.67–10.40% to 5.89–7.34%, and p95 error +from 24.44–27.31% to 13.95–17.92%. Every prediction uses only earlier samples. +This motivates the experiment; prediction accuracy is not latency benefit. +The control serving runs themselves are noisy and do not qualify a gain. + +## Runtime contract + +`Scheduler` stores 96 fixed cells: three row bands (<=128, <=512, >512), four +row-weighted history bands (<=1023, <=4095, <=16383, >16383), four widths and +two GPU/ANE path classes. The table is approximately 1.5 KiB per engine and +never grows or persists. Model/draft/KV/state/build identity is implicit in the +owning runtime; no curve is shared across runtimes. + +Only finite positive representative text-prefill times with at least 64 rows +train a cell, using EWMA weight 0.25. Three matching prior observations are +required. Until then, the existing capacity-based global EMA fallback is +preserved exactly, including a short leader using less than the trial budget. +Restore/image/auxiliary timing does not train ordinary text-prefill cells. + +For each existing halved trial budget, provisional stack geometry contains +every selected ragged lane. History is weighted by that lane's actual new +rows. The path callback checks the model's currently available ANE split. +At submission, the scheduler captures that path class; if a split retires +while completing, the completed observation still trains the submitted class. +The callback is read on the engine thread and its resources outlive the engine. + +The existing 500 ms contention target, 64-row minimum, 2,048-row ceiling, +priority, shortest-first ordering, overtaking bounds, admission and decode debt +remain in force. The experiment only changes the cost estimate used to halve +a contended prefill budget. The trace's after-cut prediction describes the +actual submitted geometry; it is distinct from the provisional capacity estimate. + +## Validation and remaining gate + +The full CPU suite and existing ASAN/UBSAN/TSAN suite pass, followed by focused +engine, native-loop and ragged-scheduler tests. Added scheduler cases cover +three-prior-sample fallback, unseen context/width, GPU/ANE separation, submitted +path retention across ANE retirement, auxiliary timing exclusion, invalid +geometry, and a non-leading long-history lane that lowers the budget from +2,048 to 1,024 while preserving shortest-first order. Existing fairness, +priority, debt and overtaking cases run under both policies. + +Dedicated ragged-scheduler ASAN/UBSAN and TSAN targets are now included in +`make test-sanitizers`; their first local execution is queued after the frozen +performance binaries finish. Building them during performance measurement +would contaminate those results. Production/profile binaries remain frozen. + +```sh +make -j8 test-engine-cpu test-sanitizers build/splash build/serving-profile +python -m unittest dev.tests.tools.test_prefill_prediction +python -m dev.benchmarks.prefill_prediction /path/to/round-1-trace.json \ + --output build/prefill-prediction.json +python -m dev.benchmarks.serving_regression \ + --model MODEL --model-root /path/to/model \ + --baseline-binary build/splash --binary build/splash \ + --baseline-env SPLASH_PREFILL_COST_MODEL=ema \ + --candidate-env SPLASH_PREFILL_COST_MODEL=bucketed \ + --scenario mixed --residency sequential --max-memory 34G \ + --contexts 2048,8192,31744 --tokens 512 --samples 3 \ + --warmup-seconds 0 --warmup-rounds 4 \ + --output build/prefill-cost +``` + +Repeat for cold, `--cache-mode cached` and `--cache-mode prefix-resume`, for +MoE and dense targets. Prefix-resume is RAM-prefix continuation, not suspension +under resource pressure; actual cached counts are checked. Restore and suffix +prefill are inside measurement while priming is outside. The harness rejects +serialized admission, stale status and missing output budgets, and checks that +resources are released after each workload. + +Promotion requires lower contended latency without starvation or a throughput +regression outside `max(2%,2*noise)`; spread >5% is inconclusive. Report short +and long TTFT, p95/max active-stream gaps, actual output counts, scheduled widths, +memory and cache reuse for every trial. Other-device jobs in #510 remain +unexecuted. A negative or inconclusive local gate leaves the default unchanged. From e9567c1255924e836897237c4593d474e7945a2a Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:46:16 +0530 Subject: [PATCH 18/22] Attach exact prefill geometry and prequential prediction evidence --- dev/benchmarks/prefill-cost-model.md | 4 + .../geometry-control.json | 58696 ++++++++++++++++ .../qwen-prefill-cost-m5-pro/jobs.json | 118 + .../prediction-errors.json | 3371 + .../prefill-engine.log | 1 + .../prefill-native.log | 54 + .../prefill-scheduler.log | 1 + .../qualification.json | 27 + .../round-1-prefill-excerpt.json | 42104 +++++++++++ .../round-2-prefill-excerpt.json | 42072 +++++++++++ .../round-3-prefill-excerpt.json | 42168 +++++++++++ .../round-4-prefill-excerpt.json | 42152 +++++++++++ 12 files changed, 230768 insertions(+) create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/geometry-control.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/jobs.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/prediction-errors.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-engine.log create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-native.log create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-scheduler.log create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/qualification.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-1-prefill-excerpt.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-2-prefill-excerpt.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-3-prefill-excerpt.json create mode 100644 dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-4-prefill-excerpt.json diff --git a/dev/benchmarks/prefill-cost-model.md b/dev/benchmarks/prefill-cost-model.md index e6a0c4885..c2d996acc 100644 --- a/dev/benchmarks/prefill-cost-model.md +++ b/dev/benchmarks/prefill-cost-model.md @@ -27,6 +27,10 @@ absolute relative prediction error from 9.67–10.40% to 5.89–7.34%, and p95 e from 24.44–27.31% to 13.95–17.92%. Every prediction uses only earlier samples. This motivates the experiment; prediction accuracy is not latency benefit. The control serving runs themselves are noisy and do not qualify a gain. +The [evidence bundle](results/qwen-prefill-cost-m5-pro/) retains those controls, +all prediction records and prefill-only trace excerpts with source-trace hashes. +The excerpts deliberately omit GPU events and cannot reconstruct a full timeline; +they can reproduce the estimator errors with `prefill_prediction.py`. ## Runtime contract diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/geometry-control.json b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/geometry-control.json new file mode 100644 index 000000000..cb4d4d3a8 --- /dev/null +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/geometry-control.json @@ -0,0 +1,58696 @@ +{ + "method": "one resident server at a time; full workload rounds in ABBA order; cold salts", + "scenario": "mixed", + "residency": "sequential", + "tool_sha256": "901857c76ec919efae7ce1143095afe694152d7d10c85807e9eb5f49d2e84e2c", + "primary_metric": "total workload wall 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Prediction error is not measured latency or throughput benefit." + } + ] +} diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-engine.log b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-engine.log new file mode 100644 index 000000000..2e8ddda80 --- /dev/null +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-engine.log @@ -0,0 +1 @@ +engine tests passed diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-native.log b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-native.log new file mode 100644 index 000000000..09623b12c --- /dev/null +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-native.log @@ -0,0 +1,54 @@ +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Memory: growth paused; waiting=1; suspended=0 +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Weights wait for memory to be restored: host memory reserve protected +00:18:30 Memory: growth available; waiting=1; suspended=0 +00:18:30 Weights restored in 0.40 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Weights wait for memory to be restored: host memory reserve protected +00:18:30 Memory: growth available; waiting=2; suspended=0 +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Weights wait for memory to be restored: host memory reserve protected +00:18:30 Weights not restored, 2 waiting requests failed: memory did not become available within the resource wait limit: macOS is short of memory; close memory-heavy applications; the next request restores them +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Weights wait for memory to be restored: host memory reserve protected +00:18:30 Memory: growth available; waiting=1; suspended=0 +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released after 2 s without a request; the next request restores them +00:18:30 Memory: growth available; resource wait cleared +00:18:30 Memory: growth paused; waiting=0; suspended=0 +00:18:30 Weights wait for memory to be restored: host memory reserve protected +00:18:30 Weights not restored: no request waits for them +00:18:30 Weights released on request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released on request; the next request restores them +00:18:30 Weights restored in 0.00 s +00:18:30 Weights released on request; the next request restores them +native engine loop tests passed diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-scheduler.log b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-scheduler.log new file mode 100644 index 000000000..4bb240b12 --- /dev/null +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/prefill-scheduler.log @@ -0,0 +1 @@ +ragged scheduler tests passed diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/qualification.json b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/qualification.json new file mode 100644 index 000000000..8b28c1d7c --- /dev/null +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/qualification.json @@ -0,0 +1,27 @@ +{ + "complete": false, + "implementation_commit": "02a1162e", + "traces": [ + { + "source_trace": "round-1-trace.json", + "sha256": 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1240, + "width": 1, + "rows": 8, + "context": 31774, + "flags": 2, + "value": 29.569833 + } + }, + { + "name": "batch.counters", + "ph": "X", + "pid": 1, + "tid": 1, + "ts": 80702701.16699976, + "dur": 0, + "args": { + "id": 1240, + "width": 1, + "rows": 2, + "context": 7, + "flags": 1, + "value": 0 + } + } + ], + "dropped_host_events": 0, + "dropped_commands": 0, + "exit_status": 0, + "command_in_flight_at_stop": false +} From d865b6a66fd959e5cb3083481e060477f23e2628 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 00:47:30 +0530 Subject: [PATCH 19/22] Keep prefill trace excerpts focused on prefill commands --- .../round-1-prefill-excerpt.json | 40664 +-------------- .../round-2-prefill-excerpt.json | 40636 +-------------- .../round-3-prefill-excerpt.json | 40694 +--------------- .../round-4-prefill-excerpt.json | 40508 +-------------- 4 files changed, 6707 insertions(+), 155795 deletions(-) diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-1-prefill-excerpt.json b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-1-prefill-excerpt.json index 9373fbd15..7bf05df5e 100644 --- a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-1-prefill-excerpt.json +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-1-prefill-excerpt.json @@ -81,34 +81,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5641165.082983207, + "ts": 9067555.207991973, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 8, - "context": 2048, - "flags": 2, - "value": 22.400125 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 562.21450025 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 5641181.2909937, + "ts": 9067555.540998, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 2048, + "context": 0, + "flags": 0, "value": 0 } }, @@ -117,15 +117,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5662963.374983519, + "ts": 9622771.12499578, "dur": 0, "args": { - "id": 3, + "id": 152, "width": 1, - "rows": 8, - "context": 2050, - "flags": 2, - "value": 21.591209 + "rows": 2048, + "context": 0, + "flags": 3, + "value": 554.586541 } }, { @@ -133,46 +133,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5662967.707990902, + "ts": 9622821.50000101, "dur": 0, "args": { - "id": 3, + "id": 152, "width": 1, - "rows": 8, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5686351.70799098, + "ts": 13048138.499987544, "dur": 0, "args": { - "id": 4, + "id": 302, "width": 1, - "rows": 8, - "context": 2058, - "flags": 2, - "value": 23.191209 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 560.3075104375 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 5686356.665974017, + "ts": 13048138.540994842, "dur": 0, "args": { - "id": 4, + "id": 302, "width": 1, - "rows": 8, - "context": 7, - "flags": 7, + "rows": 2048, + "context": 0, + "flags": 0, "value": 0 } }, @@ -181,15 +181,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5708255.624980666, + "ts": 13604037.374985637, "dur": 0, "args": { - "id": 5, + "id": 302, "width": 1, - "rows": 8, - "context": 2066, - "flags": 2, - "value": 21.712208 + "rows": 2048, + "context": 0, + "flags": 3, + "value": 555.296834 } }, { @@ -197,46 +197,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5708260.54099598, + "ts": 13604098.290990805, "dur": 0, "args": { - "id": 5, + "id": 302, "width": 1, - "rows": 6, - "context": 7, - "flags": 5, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5730324.332980672, + "ts": 17270872.374996543, "dur": 0, "args": { - "id": 6, + "id": 462, "width": 1, - "rows": 8, - "context": 2072, - "flags": 2, - "value": 21.876834000000002 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 559.054841328125 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 5730328.874982661, + "ts": 17270872.458000667, "dur": 0, "args": { - "id": 6, + "id": 462, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 2048, + "context": 0, + "flags": 0, "value": 0 } }, @@ -245,15 +245,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5753568.249987438, + "ts": 17826572.124991797, "dur": 0, "args": { - "id": 7, + "id": 462, "width": 1, - "rows": 8, - "context": 2074, - "flags": 2, - "value": 23.033208 + "rows": 2048, + "context": 0, + "flags": 3, + "value": 555.07975 } }, { @@ -261,46 +261,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5753575.12498158, + "ts": 17826617.707993135, "dur": 0, "args": { - "id": 7, + "id": 462, "width": 1, - "rows": 6, - "context": 7, - "flags": 5, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5776705.2079725545, + "ts": 21402302.415983286, "dur": 0, "args": { - "id": 8, + "id": 618, "width": 1, - "rows": 8, - "context": 2080, - "flags": 2, - "value": 22.942083 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 558.0610684960938 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 5776710.624981206, + "ts": 21402302.540984236, "dur": 0, "args": { - "id": 8, + "id": 618, "width": 1, - "rows": 4, - "context": 7, - "flags": 3, + "rows": 2048, + "context": 0, + "flags": 0, "value": 0 } }, @@ -309,15 +309,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5799344.915983966, + "ts": 21957559.87497978, "dur": 0, "args": { - "id": 9, + "id": 618, "width": 1, - "rows": 8, - "context": 2084, - "flags": 2, - "value": 22.406333 + "rows": 2048, + "context": 0, + 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"context": 0, + "flags": 0, + "value": 349.4374113820249 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 60464517.540996894, + "ts": 56312575.707997896, "dur": 0, "args": { - "id": 1217, + "id": 1151, "width": 1, - "rows": 5, - "context": 7, - "flags": 4, + "rows": 1024, + "context": 7680, + "flags": 0, "value": 0 } }, @@ -41109,15 +3829,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60488590.24999547, + "ts": 56677644.08298536, "dur": 0, "args": { - "id": 1218, + "id": 1151, "width": 1, - "rows": 8, - "context": 2551, - "flags": 2, - "value": 23.885417 + "rows": 1024, + "context": 7680, + "flags": 3, + "value": 364.78054199999997 } }, { @@ -41125,14 +3845,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60488593.54099841, + "ts": 56677688.99997464, "dur": 0, "args": { - "id": 1218, + "id": 1151, "width": 1, - "rows": 9, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -41141,15 +3861,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60488611.33298487, + "ts": 56882244.749984235, "dur": 0, "args": { - "id": 1219, + "id": 1161, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 791.1901137166124 + "value": 353.27319403651865 } }, { @@ -41157,13 +3877,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60488611.499982655, + "ts": 56882244.95798931, "dur": 0, "args": { - "id": 1219, + "id": 1161, "width": 1, - "rows": 2048, - "context": 14848, + "rows": 1024, + "context": 8704, "flags": 0, "value": 0 } @@ -41173,15 +3893,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61320527.374977246, + "ts": 57254613.29097743, "dur": 0, "args": { - "id": 1219, + "id": 1161, "width": 1, - "rows": 2048, - "context": 14848, + "rows": 1024, + "context": 8704, "flags": 3, - "value": 831.578667 + "value": 372.167417 } }, { @@ -41189,10 +3909,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61320580.540981606, + "ts": 57254643.207998015, "dur": 0, "args": { - "id": 1219, + "id": 1161, "width": 1, "rows": 0, "context": 0, @@ -41205,15 +3925,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61320592.04098187, + "ts": 57463880.66597865, "dur": 0, "args": { - "id": 1220, + "id": 1171, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 801.2872520374592 + "value": 357.99674977738897 } }, { @@ -41221,13 +3941,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61320592.082978696, + "ts": 57463880.7909796, "dur": 0, "args": { - "id": 1220, + "id": 1171, "width": 1, - "rows": 2048, - "context": 16896, + "rows": 1024, + "context": 9728, "flags": 0, "value": 0 } @@ -41237,15 +3957,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62182876.24997902, + "ts": 57848235.957993895, "dur": 0, "args": { - "id": 1220, + "id": 1171, "width": 1, - "rows": 2048, - "context": 16896, + "rows": 1024, + "context": 9728, "flags": 3, - "value": 862.1132500000001 + "value": 384.155875 } }, { @@ -41253,10 +3973,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62182923.832995586, + "ts": 57848263.24999449, "dur": 0, "args": { - "id": 1220, + "id": 1171, "width": 1, "rows": 0, "context": 0, @@ -41269,15 +3989,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62182934.74998791, + "ts": 58064071.62497635, "dur": 0, "args": { - "id": 1221, + "id": 1181, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 816.4937515280944 + "value": 364.5365310830417 } }, { @@ -41285,13 +4005,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62182934.7909952, + "ts": 58064071.66598365, "dur": 0, "args": { - "id": 1221, + "id": 1181, "width": 1, - "rows": 2048, - "context": 18944, + "rows": 1024, + "context": 10752, "flags": 0, "value": 0 } @@ -41301,15 +4021,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63082236.999995075, + "ts": 58462722.41597763, "dur": 0, "args": { - "id": 1221, + "id": 1181, "width": 1, - "rows": 2048, - "context": 18944, + "rows": 1024, + "context": 10752, "flags": 3, - "value": 899.0775 + "value": 398.46425 } }, { @@ -41317,10 +4037,10 @@ "ph": 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"context": 23040, + "rows": 1024, + "context": 12800, "flags": 3, - "value": 969.065125 + "value": 407.6985 } }, { @@ -41445,10 +4165,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64979617.91598937, + "ts": 59695276.41599416, "dur": 0, "args": { - "id": 1223, + "id": 1201, "width": 1, "rows": 0, "context": 0, @@ -41461,15 +4181,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64979626.832995564, + "ts": 59904389.08297801, "dur": 0, "args": { - "id": 1224, + "id": 1211, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 887.1106763009149 + "value": 388.2384231444082 } }, { @@ -41477,13 +4197,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64979626.87499239, + "ts": 59904389.24997579, "dur": 0, "args": { - "id": 1224, + "id": 1211, "width": 1, - "rows": 2048, - "context": 25088, + "rows": 1024, + "context": 13824, "flags": 0, "value": 0 } @@ -41493,15 +4213,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65976765.49997413, + "ts": 60322271.79099573, "dur": 0, "args": { - "id": 1224, + "id": 1211, "width": 1, - "rows": 2048, - "context": 25088, + "rows": 1024, + "context": 13824, "flags": 3, - "value": 996.973208 + "value": 417.66495799999996 } }, { @@ -41509,10 +4229,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65976808.70798649, + "ts": 60322298.91599855, "dur": 0, "args": { - "id": 1224, + "id": 1211, "width": 1, "rows": 0, "context": 0, @@ -41525,15 +4245,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65979712.33297721, + "ts": 60488611.33298487, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, "context": 0, "flags": 0, - "value": 914.5763092256861 + "value": 791.1901137166124 } }, { @@ -41541,13 +4261,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65979712.33297721, + "ts": 60488611.499982655, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, - "context": 27136, + "context": 14848, "flags": 0, "value": 0 } @@ -41557,15 +4277,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67016636.37498859, + "ts": 61320527.374977246, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, - "context": 27136, + "context": 14848, "flags": 3, - "value": 1036.579208 + "value": 831.578667 } }, { @@ -41573,10 +4293,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67016695.290978536, + "ts": 61320580.540981606, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 0, "context": 0, @@ -41589,15 +4309,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67016704.62498441, + "ts": 61320592.04098187, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, "rows": 2048, "context": 0, "flags": 0, - "value": 945.0770339192646 + "value": 801.2872520374592 } }, { @@ -41605,13 +4325,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67016704.66599171, + "ts": 61320592.082978696, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, "rows": 2048, - "context": 29184, + "context": 16896, "flags": 0, "value": 0 } @@ -41621,15 +4341,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68087165.70798424, + "ts": 62182876.24997902, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, "rows": 2048, - "context": 29184, + "context": 16896, "flags": 3, - "value": 1070.298166 + "value": 862.1132500000001 } }, { @@ -41637,10 +4357,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68087213.08299573, + "ts": 62182923.832995586, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, "rows": 0, "context": 0, @@ -41653,15 +4373,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68087223.6249852, + "ts": 62182934.74998791, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, - "rows": 512, + "rows": 2048, "context": 0, "flags": 0, - "value": 244.09557923486213 + "value": 816.4937515280944 } }, { @@ -41669,13 +4389,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68087223.6659925, + "ts": 62182934.7909952, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, - "rows": 512, - "context": 31232, + "rows": 2048, + "context": 18944, "flags": 0, "value": 0 } @@ -41685,15 +4405,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68421327.24999101, + "ts": 63082236.999995075, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, - "rows": 512, - "context": 31232, + "rows": 2048, + "context": 18944, "flags": 3, - "value": 333.8735 + "value": 899.0775 } }, { @@ -41701,10 +4421,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68421368.70799004, + "ts": 63082291.62497446, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 0, "context": 0, @@ -41713,34 +4433,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68447246.87497364, + "ts": 63082303.29098296, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, - "rows": 8, - "context": 31744, - "flags": 2, - "value": 25.651457999999998 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 837.1396886460708 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68447260.74999198, + "ts": 63082303.33297979, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + "rows": 2048, + "context": 20992, + "flags": 0, "value": 0 } }, @@ -41749,15 +4469,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68472711.83299017, + "ts": 64010223.29099942, "dur": 0, "args": { - "id": 1229, + "id": 1222, "width": 1, - "rows": 8, - "context": 31747, - "flags": 2, - "value": 25.274207999999998 + "rows": 2048, + "context": 20992, + "flags": 3, + "value": 927.7510410000001 } }, { @@ -41765,46 +4485,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68472716.2909985, + "ts": 64010260.87498758, "dur": 0, "args": { - "id": 1229, + "id": 1222, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68498269.6659863, + "ts": 64010270.999977365, "dur": 0, "args": { - "id": 1230, + "id": 1223, "width": 1, - "rows": 8, - "context": 31749, - "flags": 2, - "value": 25.366667 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 859.7925267345531 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68498273.95798638, + "ts": 64010270.999977365, "dur": 0, "args": { - "id": 1230, + "id": 1223, "width": 1, - "rows": 6, - "context": 7, - "flags": 5, + "rows": 2048, + "context": 23040, + "flags": 0, "value": 0 } }, @@ -41813,15 +4533,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68524229.41598342, + "ts": 64979561.91599951, "dur": 0, "args": { - "id": 1231, + "id": 1223, "width": 1, - "rows": 8, - "context": 31755, - "flags": 2, - "value": 25.766375 + "rows": 2048, + "context": 23040, + "flags": 3, + "value": 969.065125 } }, { @@ -41829,45 +4549,45 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68524233.41598478, + "ts": 64979617.91598937, "dur": 0, "args": { - "id": 1231, + "id": 1223, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, 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"flags": 0, "value": 0 } } diff --git a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-2-prefill-excerpt.json b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-2-prefill-excerpt.json index 88db43fbd..80acec189 100644 --- a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-2-prefill-excerpt.json +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-2-prefill-excerpt.json @@ -81,34 +81,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 4200121.791014681, + "ts": 7637597.625027411, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 8, - "context": 2048, - "flags": 2, - "value": 22.168666 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 556.040802 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 4200137.125008041, + "ts": 7637597.916007508, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 2, - "context": 7, - 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"X", "pid": 1, "tid": 1, - "ts": 60868558.12501744, + "ts": 56423456.08302276, "dur": 0, "args": { - "id": 1215, + "id": 1138, "width": 1, - "rows": 8, - "context": 2543, - "flags": 2, - "value": 23.659458 + "rows": 1024, + "context": 6656, + "flags": 3, + "value": 362.83775 } }, { @@ -41029,14 +3781,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60868562.16602609, + "ts": 56423502.45802663, "dur": 0, "args": { - "id": 1215, + "id": 1138, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -41045,15 +3797,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60868566.916004054, + "ts": 56628022.41600002, "dur": 0, "args": { - "id": 1216, + "id": 1147, "width": 1, "rows": 1024, "context": 0, "flags": 0, - "value": 398.6291016487948 + "value": 356.0367124640393 } }, { @@ -41061,13 +3813,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 60868567.04100501, + "ts": 56628022.458025955, "dur": 0, "args": { - "id": 1216, + "id": 1147, "width": 1, "rows": 1024, - "context": 14848, + "context": 7680, "flags": 0, "value": 0 } @@ -41077,15 +3829,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61303157.87502332, + "ts": 57000436.95801287, "dur": 0, "args": { - "id": 1216, + "id": 1147, "width": 1, "rows": 1024, - "context": 14848, + "context": 7680, "flags": 3, - "value": 434.364333 + "value": 372.118375 } }, { @@ -41093,10 +3845,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61303185.875003695, + "ts": 57000480.75002269, "dur": 0, "args": { - "id": 1216, + "id": 1147, "width": 1, "rows": 0, "context": 0, @@ -41105,34 +3857,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 61327366.70802115, + "ts": 57200512.4160205, "dur": 0, "args": { - "id": 1217, + "id": 1156, "width": 1, - "rows": 8, - "context": 2546, - "flags": 2, - "value": 23.940042000000002 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 360.05712809802947 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 61327372.958010525, + "ts": 57200512.58301828, "dur": 0, "args": { - "id": 1217, + "id": 1156, "width": 1, - "rows": 5, - "context": 7, - "flags": 4, + "rows": 1024, + "context": 8704, + "flags": 0, "value": 0 } }, @@ -41141,15 +3893,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61351595.83302447, + "ts": 57574027.08299924, "dur": 0, "args": { - "id": 1218, + "id": 1156, "width": 1, - "rows": 8, - "context": 2551, - "flags": 2, - "value": 24.020540999999998 + "rows": 1024, + "context": 8704, + "flags": 3, + "value": 373.32445800000005 } }, { @@ -41157,14 +3909,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61351600.16600275, + "ts": 57574059.666018, "dur": 0, "args": { - "id": 1218, + "id": 1156, "width": 1, - "rows": 9, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -41173,15 +3925,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61351622.041023806, + "ts": 57784031.2080225, "dur": 0, "args": { - "id": 1219, + "id": 1166, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 815.1258189731922 + "value": 363.37396057352214 } }, { @@ -41189,13 +3941,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 61351622.16602475, + "ts": 57784031.37502028, "dur": 0, "args": { - "id": 1219, + "id": 1166, "width": 1, - "rows": 2048, - "context": 15872, + "rows": 1024, + "context": 9728, "flags": 0, "value": 0 } @@ -41205,15 +3957,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62216629.7910153, + "ts": 58171265.291020975, "dur": 0, "args": { - "id": 1219, + "id": 1166, "width": 1, - "rows": 2048, - "context": 15872, + "rows": 1024, + "context": 9728, "flags": 3, - "value": 864.661792 + "value": 387.02112500000004 } }, { @@ -41221,10 +3973,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 62216679.37500752, + "ts": 58171295.12500833, "dur": 0, "args": { - "id": 1219, + "id": 1166, "width": 1, "rows": 0, "context": 0, @@ -41237,15 +3989,15 @@ "ph": "X", "pid": 1, "tid": 1, - 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"context": 0, @@ -41301,15 +4053,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63125935.87502488, + "ts": 58992807.375005215, "dur": 0, "args": { - "id": 1221, + "id": 1186, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 847.8502341724206 + "value": 375.6810427601062 } }, { @@ -41317,13 +4069,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63125936.16600498, + "ts": 58992807.50000617, "dur": 0, "args": { - "id": 1221, + "id": 1186, "width": 1, - "rows": 2048, - "context": 19968, + "rows": 1024, + "context": 11776, "flags": 0, "value": 0 } @@ -41333,15 +4085,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64087813.707999885, + "ts": 59400202.12501986, "dur": 0, "args": { - "id": 1221, + "id": 1186, "width": 1, - "rows": 2048, - "context": 19968, + "rows": 1024, + "context": 11776, "flags": 3, - "value": 961.580125 + "value": 407.132167 } }, { @@ -41349,10 +4101,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64087883.08300427, + "ts": 59400244.000018574, "dur": 0, "args": { - "id": 1221, + "id": 1186, "width": 1, "rows": 0, "context": 0, @@ -41365,15 +4117,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64087913.541006856, + "ts": 59607082.91601622, "dur": 0, "args": { - "id": 1222, + "id": 1196, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 876.2827068793155 + "value": 383.54382382007964 } }, { @@ -41381,13 +4133,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64087913.70800464, + "ts": 59607083.12501083, "dur": 0, "args": { - "id": 1222, + "id": 1196, "width": 1, - "rows": 2048, - "context": 22016, + "rows": 1024, + "context": 12800, "flags": 0, "value": 0 } @@ -41397,15 +4149,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65060944.83300694, + "ts": 60016975.83301575, "dur": 0, "args": { - "id": 1222, + "id": 1196, "width": 1, - "rows": 2048, - "context": 22016, + "rows": 1024, + "context": 12800, "flags": 3, - "value": 972.768458 + "value": 409.71079199999997 } }, { @@ -41413,10 +4165,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65060983.41601319, + "ts": 60017008.25002626, "dur": 0, "args": { - "id": 1222, + "id": 1196, "width": 1, "rows": 0, "context": 0, @@ -41429,15 +4181,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65061017.125000946, + "ts": 60228889.16599914, "dur": 0, "args": { - "id": 1223, + "id": 1206, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 900.4041446594866 + "value": 390.0855658650597 } }, { @@ -41445,13 +4197,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65061017.16600824, + "ts": 60228889.29100008, "dur": 0, "args": { - "id": 1223, + "id": 1206, "width": 1, - "rows": 2048, - "context": 24064, + "rows": 1024, + "context": 13824, "flags": 0, "value": 0 } @@ -41461,15 +4213,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66071803.45800589, + "ts": 60653351.41602554, "dur": 0, "args": { - "id": 1223, + "id": 1206, "width": 1, - "rows": 2048, - "context": 24064, + "rows": 1024, + "context": 13824, "flags": 3, - "value": 1010.4872499999999 + 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1024, + "context": 14848, "flags": 3, - "value": 1012.3025000000001 + "value": 434.364333 } }, { @@ -41541,10 +4293,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67088020.66600765, + "ts": 61303185.875003695, "dur": 0, "args": { - "id": 1224, + "id": 1216, "width": 1, "rows": 0, "context": 0, @@ -41557,15 +4309,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67088041.29101918, + "ts": 61351622.041023806, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, "context": 0, "flags": 0, - "value": 949.0193157459612 + "value": 815.1258189731922 } }, { @@ -41573,13 +4325,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67088041.33301601, + "ts": 61351622.16602475, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, - "context": 28160, + "context": 15872, "flags": 0, "value": 0 } @@ -41589,15 +4341,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68134256.16602762, + "ts": 62216629.7910153, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 2048, - "context": 28160, + "context": 15872, "flags": 3, - "value": 1045.95825 + "value": 864.661792 } }, { @@ -41605,10 +4357,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68134313.6659998, + "ts": 62216679.37500752, "dur": 0, "args": { - "id": 1225, + "id": 1219, "width": 1, "rows": 0, "context": 0, @@ -41621,15 +4373,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68134327.95801783, + "ts": 62216714.25001114, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, - "rows": 1536, + "rows": 2048, "context": 0, "flags": 0, - "value": 729.9405369821031 + "value": 827.5098122298941 } }, { @@ -41637,13 +4389,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68134328.00001465, + "ts": 62216714.25001114, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, - "rows": 1536, - "context": 30208, + "rows": 2048, + "context": 17920, "flags": 0, "value": 0 } @@ -41653,15 +4405,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68970487.25001514, + "ts": 63125860.08300423, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, - "rows": 1536, - "context": 30208, + "rows": 2048, + "context": 17920, "flags": 3, - "value": 835.892083 + "value": 908.8715000000001 } }, { @@ -41669,10 +4421,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68970538.79100713, + "ts": 63125903.79102039, "dur": 0, "args": { - "id": 1226, + "id": 1220, "width": 1, "rows": 0, "context": 0, @@ -41681,34 +4433,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68997486.5000113, + "ts": 63125935.87502488, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, - "rows": 8, - "context": 31744, - "flags": 2, - "value": 26.632875 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 847.8502341724206 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68997503.25002241, + "ts": 63125936.16600498, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + 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a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-3-prefill-excerpt.json b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-3-prefill-excerpt.json index fc0c3558a..5caa29076 100644 --- a/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-3-prefill-excerpt.json +++ b/dev/benchmarks/results/qwen-prefill-cost-m5-pro/round-3-prefill-excerpt.json @@ -81,34 +81,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 4192839.5410068333, + "ts": 7650825.374992564, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 8, - "context": 2048, - "flags": 2, - "value": 22.260915999999998 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 557.2390105 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 4192855.500004953, + "ts": 7650825.582997641, "dur": 0, "args": { - "id": 2, + "id": 152, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 2048, + 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0, "args": { - "id": 38, + "id": 790, "width": 1, - "rows": 8, - "context": 2167, - "flags": 2, - "value": 23.979167 + "rows": 1024, + "context": 2560, + "flags": 3, + "value": 348.718291 } }, { @@ -1253,45 +1253,45 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5028625.083010411, + "ts": 30149300.08299416, "dur": 0, "args": { - "id": 38, + "id": 790, "width": 1, - "rows": 8, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5052025.000011781, + "ts": 30332530.250016134, "dur": 0, "args": { - "id": 39, + "id": 798, "width": 1, - "rows": 8, - "context": 2175, - "flags": 2, - "value": 23.182166000000002 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 334.0198973500185 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 5052033.250016393, + "ts": 30332530.58299306, "dur": 0, "args": { - "id": 39, + "id": 798, "width": 1, - "rows": 1, - "context": 7, + "rows": 1024, + "context": 3584, "flags": 0, "value": 0 } @@ -1301,15 +1301,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5075524.41599546, + "ts": 30676540.083019063, "dur": 0, "args": { - "id": 40, + "id": 798, "width": 1, - "rows": 8, - "context": 2176, - "flags": 2, - "value": 23.301417 + "rows": 1024, + "context": 3584, + "flags": 3, + "value": 343.482 } }, { @@ -1317,46 +1317,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 5075528.040993959, + "ts": 30676568.7080042, "dur": 0, "args": { - "id": 40, + "id": 798, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 5097989.708010573, + "ts": 30856753.25000193, "dur": 0, "args": { - "id": 41, + "id": 806, "width": 1, - "rows": 8, - "context": 2179, - "flags": 2, - "value": 22.270249999999997 + "rows": 1024, + "context": 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"dur": 0, "args": { - "id": 1214, + "id": 1133, "width": 1, - "rows": 8, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 63746650.832996234, + "ts": 58492555.25000626, "dur": 0, "args": { - "id": 1215, + "id": 1142, "width": 1, - "rows": 8, - "context": 2535, - "flags": 2, - "value": 28.120709 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 373.94925458259354 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 63746657.375013456, + "ts": 58492555.25000626, "dur": 0, "args": { - "id": 1215, + "id": 1142, "width": 1, - "rows": 4, - "context": 7, - "flags": 3, + "rows": 1024, + "context": 7680, + "flags": 0, "value": 0 } }, @@ -41077,15 +3829,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63774921.45801079, + "ts": 58887435.08301559, "dur": 0, "args": { - "id": 1216, + "id": 1142, "width": 1, - "rows": 8, - "context": 2539, - "flags": 2, - "value": 28.063458 + "rows": 1024, + "context": 7680, + "flags": 3, + "value": 394.573958 } }, { @@ -41093,14 +3845,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63774925.87501183, + "ts": 58887475.291005105, "dur": 0, "args": { - "id": 1216, + "id": 1142, "width": 1, - "rows": 4, - "context": 7, - "flags": 3, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -41109,15 +3861,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63774934.54099749, + "ts": 59099720.708007224, "dur": 0, "args": { - "id": 1217, + "id": 1151, "width": 1, "rows": 1024, "context": 0, "flags": 0, - "value": 439.46647586820063 + "value": 379.10543043694514 } }, { @@ -41125,13 +3877,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63774934.7499921, + "ts": 59099720.95800913, "dur": 0, "args": { - "id": 1217, + "id": 1151, "width": 1, "rows": 1024, - "context": 15872, + "context": 8704, "flags": 0, "value": 0 } @@ -41141,15 +3893,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64251357.54101211, + "ts": 59515442.50000734, "dur": 0, "args": { - "id": 1217, + "id": 1151, "width": 1, "rows": 1024, - "context": 15872, + "context": 8704, "flags": 3, - "value": 476.14574999999996 + "value": 415.54108299999996 } }, { @@ -41157,10 +3909,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64251402.41600457, + "ts": 59515479.45800121, "dur": 0, "args": { - "id": 1217, + "id": 1151, "width": 1, "rows": 0, "context": 0, @@ -41169,66 +3921,34 @@ } }, { - "name": "batch.observation", - "ph": "X", - "pid": 1, - "tid": 1, - "ts": 64279926.082992464, - "dur": 0, - "args": { - "id": 1218, - "width": 1, - "rows": 8, - "context": 2543, - "flags": 2, - "value": 28.334333 - } - }, - { - "name": "batch.counters", - "ph": "X", - "pid": 1, - "tid": 1, - "ts": 64279933.37501539, - "dur": 0, - "args": { - "id": 1218, - "width": 1, - "rows": 3, - "context": 7, - "flags": 2, - "value": 0 - } - }, - { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 64308009.91601427, + "ts": 59730422.29100247, "dur": 0, "args": { - "id": 1219, + "id": 1160, "width": 1, - "rows": 8, - "context": 2546, - "flags": 2, - "value": 27.899 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 388.21434357770886 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 64308013.87500833, + "ts": 59730422.45800025, "dur": 0, "args": { - "id": 1219, + "id": 1160, "width": 1, - "rows": 5, - "context": 7, - "flags": 4, + "rows": 1024, + "context": 9728, + "flags": 0, "value": 0 } }, @@ -41237,15 +3957,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64336448.33299331, + "ts": 60152391.957992226, "dur": 0, "args": { - "id": 1220, + "id": 1160, "width": 1, - "rows": 8, - "context": 2551, - "flags": 2, - "value": 28.248583 + "rows": 1024, + "context": 9728, + "flags": 3, + "value": 421.747208 } }, { @@ -41253,14 +3973,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64336452.25001965, + "ts": 60152427.124994576, "dur": 0, "args": { - "id": 1220, + "id": 1160, "width": 1, - "rows": 9, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -41269,15 +3989,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64336470.91599414, + "ts": 60368830.04099946, "dur": 0, "args": { - "id": 1221, + "id": 1169, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 897.2725888023009 + "value": 396.59755968328164 } }, { @@ -41285,13 +4005,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64336471.08299192, + "ts": 60368830.04099946, "dur": 0, "args": { - "id": 1221, + "id": 1169, "width": 1, - "rows": 2048, - "context": 16896, + "rows": 1024, + "context": 10752, "flags": 0, "value": 0 } @@ -41301,15 +4021,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65282830.87501768, + "ts": 60795795.00001273, "dur": 0, "args": { - "id": 1221, + "id": 1169, "width": 1, - "rows": 2048, - "context": 16896, + "rows": 1024, + "context": 10752, "flags": 3, - 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"args": { - "id": 1223, + "id": 1187, "width": 1, - "rows": 2048, - "context": 20992, + "rows": 1024, + "context": 12800, "flags": 3, - "value": 1013.42525 + "value": 442.91870900000004 } }, { @@ -41445,10 +4165,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67304574.25001077, + "ts": 62118436.125019796, "dur": 0, "args": { - "id": 1223, + "id": 1187, "width": 1, "rows": 0, "context": 0, @@ -41461,15 +4181,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67304593.87501469, + "ts": 62361204.66599823, "dur": 0, "args": { - "id": 1224, + "id": 1197, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 953.8538363853457 + "value": 419.6047902101344 } }, { @@ -41477,13 +4197,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67304593.95801881, + "ts": 62361204.79099918, "dur": 0, "args": { - "id": 1224, + "id": 1197, "width": 1, - "rows": 2048, - "context": 23040, + "rows": 1024, + "context": 13824, "flags": 0, "value": 0 } @@ -41493,15 +4213,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68349847.62500972, + "ts": 62812449.79100302, "dur": 0, "args": { - "id": 1224, + "id": 1197, "width": 1, - "rows": 2048, - "context": 23040, + "rows": 1024, + "context": 13824, "flags": 3, - "value": 1044.9734580000002 + "value": 451.033334 } }, { @@ -41509,10 +4229,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68349898.74999155, + "ts": 62812483.375018924, "dur": 0, "args": { - "id": 1224, + "id": 1197, "width": 1, "rows": 0, "context": 0, @@ -41525,15 +4245,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68349929.74999477, + "ts": 63053540.08299764, "dur": 0, "args": { - "id": 1225, + "id": 1207, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 976.6337417890094 + "value": 427.46192615760083 } }, { @@ -41541,13 +4261,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68349929.91600302, + "ts": 63053540.12499447, "dur": 0, "args": { - "id": 1225, + "id": 1207, "width": 1, - "rows": 2048, - "context": 25088, + "rows": 1024, + "context": 14848, "flags": 0, "value": 0 } @@ -41557,15 +4277,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 69422100.24999803, + "ts": 63529263.791017, "dur": 0, "args": { - "id": 1225, + "id": 1207, "width": 1, - "rows": 2048, - "context": 25088, + "rows": 1024, + "context": 14848, "flags": 3, - "value": 1071.925375 + "value": 475.480125 } }, { @@ -41573,10 +4293,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 69422135.12500165, + "ts": 63529291.87499103, "dur": 0, "args": { - "id": 1225, + "id": 1207, "width": 1, "rows": 0, "context": 0, @@ -41589,15 +4309,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 69425184.37499529, + "ts": 63774934.54099749, "dur": 0, "args": { - "id": 1226, + "id": 1217, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 1000.4566500917571 + "value": 439.46647586820063 } }, { @@ -41605,13 +4325,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 69425184.6660045, + "ts": 63774934.7499921, "dur": 0, "args": { - "id": 1226, + "id": 1217, "width": 1, - "rows": 2048, - "context": 27136, + "rows": 1024, + "context": 15872, "flags": 0, "value": 0 } @@ -41621,15 +4341,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 70534167.33301128, + "ts": 64251357.54101211, "dur": 0, "args": { - "id": 1226, + "id": 1217, "width": 1, - "rows": 2048, - "context": 27136, + "rows": 1024, + "context": 15872, "flags": 3, - "value": 1108.5155829999999 + "value": 476.14574999999996 } }, { @@ -41637,10 +4357,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 70534221.70801787, + "ts": 64251402.41600457, "dur": 0, "args": { - "id": 1226, + "id": 1217, "width": 1, "rows": 0, "context": 0, @@ -41653,15 +4373,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 70534252.41599324, + "ts": 64336470.91599414, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 2048, "context": 0, "flags": 0, - "value": 1027.4713833188177 + "value": 897.2725888023009 } }, { @@ -41669,13 +4389,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 70534252.58299103, + "ts": 64336471.08299192, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 2048, - "context": 29184, + "context": 16896, "flags": 0, "value": 0 } @@ -41685,15 +4405,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 71685030.79100628, + "ts": 65282830.87501768, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 2048, - "context": 29184, + "context": 16896, "flags": 3, - "value": 1150.548375 + "value": 946.131959 } }, { @@ -41701,10 +4421,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 71685081.50000708, + "ts": 65282865.540997595, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 0, "context": 0, @@ -41717,15 +4437,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 71685114.74999832, + "ts": 65282901.25000058, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, - "rows": 512, + "rows": 2048, "context": 0, "flags": 0, - "value": 264.56015780977833 + "value": 909.4874313517257 } }, { @@ -41733,13 +4453,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 71685114.87499927, + "ts": 65282901.29100788, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, - "rows": 512, - "context": 31232, + "rows": 2048, + "context": 18944, "flags": 0, "value": 0 } @@ -41749,15 +4469,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 72055405.3329979, + "ts": 66290804.582997225, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, - "rows": 512, - "context": 31232, + "rows": 2048, + "context": 18944, "flags": 3, - "value": 370.019333 + "value": 1007.5245 } }, { @@ -41765,10 +4485,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 72055449.91599163, + "ts": 66290852.50000935, "dur": 0, "args": { - "id": 1228, + "id": 1222, "width": 1, "rows": 0, "context": 0, @@ -41777,34 +4497,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 72085144.0000115, + "ts": 66290880.415996075, "dur": 0, "args": { - "id": 1229, + "id": 1223, "width": 1, - "rows": 8, - "context": 31744, - "flags": 2, - "value": 29.419917 + "rows": 2048, + 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1024, + "context": 1536, + "flags": 3, + "value": 376.356958 } }, { @@ -37717,14 +533,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63563077.62500364, + "ts": 24881135.042000096, "dur": 0, "args": { - "id": 1121, + "id": 644, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, @@ -37733,15 +549,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63563081.70899865, + "ts": 25078943.54200107, "dur": 0, "args": { - "id": 1122, + "id": 651, "width": 1, "rows": 1024, "context": 0, "flags": 0, - "value": 412.89961290310765 + "value": 349.32695681157685 } }, { @@ -37749,13 +565,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63563081.8750069, + "ts": 25078944.00000805, "dur": 0, "args": { - "id": 1122, + "id": 651, "width": 1, "rows": 1024, - "context": 5120, + "context": 2560, "flags": 0, "value": 0 } @@ -37765,15 +581,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 63972074.66702093, + "ts": 25460669.209016487, "dur": 0, "args": { - "id": 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"ts": 32272651.542007223, "dur": 0, "args": { - "id": 1137, + "id": 776, "width": 1, - "rows": 8, - "context": 2256, - "flags": 2, - "value": 25.974708 + "rows": 1024, + "context": 512, + "flags": 3, + "value": 369.90825 } }, { @@ -38293,46 +1125,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64789217.37501514, + "ts": 32272778.917016692, "dur": 0, "args": { - "id": 1137, + "id": 776, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 64816263.2920139, + "ts": 32465348.291996635, "dur": 0, "args": { - "id": 1138, + "id": 782, "width": 1, - "rows": 8, - "context": 2259, - "flags": 2, - "value": 26.846375 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 385.5906967038317 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 64816269.709001064, + "ts": 32465348.50000171, "dur": 0, "args": { - "id": 1138, + "id": 782, "width": 1, - "rows": 3, - "context": 7, - "flags": 2, + "rows": 1024, + "context": 1536, + "flags": 0, "value": 0 } }, @@ -38341,15 +1173,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64843069.291993745, + "ts": 32845187.500002794, "dur": 0, "args": { - "id": 1139, + "id": 782, "width": 1, - "rows": 8, - "context": 2262, - "flags": 2, - "value": 26.611333000000002 + "rows": 1024, + "context": 1536, + "flags": 3, + "value": 379.619959 } }, { @@ -38357,13 +1189,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64843075.04200842, + "ts": 32845210.54200013, "dur": 0, "args": { - "id": 1139, + "id": 782, "width": 1, - "rows": 1, - "context": 7, + "rows": 0, + "context": 0, "flags": 0, "value": 0 } @@ -38373,15 +1205,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 64843169.08402252, + "ts": 33039778.167003535, "dur": 0, "args": { - "id": 1140, + "id": 789, "width": 1, "rows": 1024, "context": 0, "flags": 0, - "value": 414.77870682049803 + "value": 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"flags": 0, - "value": 425.7432801153735 + "value": 207.7347121936149 } }, { @@ -38709,13 +1541,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 65542725.584004074, + "ts": 36259760.37501823, "dur": 0, "args": { - "id": 1149, + "id": 834, "width": 1, - "rows": 1024, - "context": 8192, + "rows": 512, + "context": 7680, "flags": 0, "value": 0 } @@ -38725,15 +1557,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66027391.667012125, + "ts": 36525107.334018685, "dur": 0, "args": { - "id": 1149, + "id": 834, "width": 1, - "rows": 1024, - "context": 8192, + "rows": 512, + "context": 7680, "flags": 3, - "value": 484.446167 + "value": 265.027584 } }, { @@ -38741,10 +1573,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66027425.54200813, + "ts": 36525144.1670116, "dur": 0, "args": { - "id": 1149, + "id": 834, "width": 1, "rows": 0, "context": 0, @@ -38753,34 +1585,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 66059725.04199599, + "ts": 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"dur": 0, "args": { - "id": 1156, + "id": 927, "width": 1, - "rows": 8, - "context": 2294, - "flags": 2, - "value": 30.277583 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 394.4851537553344 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 66244138.00000912, + "ts": 40766492.95899551, "dur": 0, "args": { - "id": 1156, + "id": 927, "width": 1, - "rows": 1, - "context": 7, + "rows": 1024, + "context": 1536, "flags": 0, "value": 0 } @@ -38981,15 +1829,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66273600.125015944, + "ts": 41146873.999998204, "dur": 0, "args": { - "id": 1157, + "id": 927, "width": 1, - "rows": 8, - "context": 2295, - "flags": 2, - "value": 29.273917 + "rows": 1024, + "context": 1536, + "flags": 3, + "value": 380.158333 } }, { @@ -38997,14 +1845,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66273606.709000885, + "ts": 41146902.167005464, "dur": 0, "args": { - "id": 1157, + "id": 927, "width": 1, - "rows": 7, - 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"X", "pid": 1, "tid": 1, - "ts": 66808105.50000751, + "ts": 41959505.584003635, "dur": 0, "args": { - "id": 1160, + "id": 942, "width": 1, - "rows": 1, - "context": 7, + "rows": 1024, + "context": 3584, "flags": 0, "value": 0 } @@ -39141,15 +1957,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66836014.04199726, + "ts": 42379109.50000514, "dur": 0, "args": { - "id": 1161, + "id": 942, "width": 1, - "rows": 8, - "context": 2309, - "flags": 2, - "value": 27.720209 + "rows": 1024, + "context": 3584, + "flags": 3, + "value": 419.1235 } }, { @@ -39157,46 +1973,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 66836018.792004324, + "ts": 42379144.29200464, "dur": 0, "args": { - "id": 1161, + "id": 942, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 66863608.16701199, + "ts": 42617935.58401405, "dur": 0, "args": { - "id": 1162, + 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978, "width": 1, "rows": 1024, - "context": 10240, + "context": 7680, "flags": 0, "value": 0 } @@ -39397,15 +2213,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67501714.08400638, + "ts": 44963159.37500913, "dur": 0, "args": { - "id": 1168, + "id": 978, "width": 1, "rows": 1024, - "context": 10240, + "context": 7680, "flags": 3, - "value": 489.856791 + "value": 425.23704200000003 } }, { @@ -39413,10 +2229,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 67501731.04199348, + "ts": 44963200.875004984, "dur": 0, "args": { - "id": 1168, + "id": 978, "width": 1, "rows": 0, "context": 0, @@ -39425,34 +2241,34 @@ } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 67532096.33400548, + "ts": 45187743.75002249, "dur": 0, "args": { - "id": 1169, + "id": 987, "width": 1, - "rows": 8, - "context": 2330, - "flags": 2, - "value": 30.011333 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 412.8428183395945 } }, { - "name": "batch.counters", + 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+ "flags": 0, + "value": 450.33608430666857 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 67776558.70901072, + "ts": 48001055.79200317, "dur": 0, "args": { - "id": 1177, + "id": 1024, "width": 1, - "rows": 4, - "context": 7, - "flags": 3, + "rows": 1024, + "context": 12800, + "flags": 0, "value": 0 } }, { - "name": "prefill.prediction", + "name": "batch.observation", "ph": "X", "pid": 1, "tid": 1, - "ts": 67779756.00000355, + "ts": 48488392.75000501, "dur": 0, "args": { - "id": 1178, + "id": 1024, "width": 1, "rows": 1024, - "context": 0, - "flags": 0, - "value": 459.00912065804823 + "context": 12800, + "flags": 3, + "value": 487.111417 } }, { - "name": "prefill.lane", + "name": "batch.counters", "ph": "X", "pid": 1, "tid": 1, - "ts": 67779756.20899814, + "ts": 48488422.91699839, "dur": 0, "args": { - "id": 1178, + "id": 1024, "width": 1, - "rows": 1024, - "context": 11264, + "rows": 0, + "context": 0, "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68275219.25000474, + "ts": 48760733.83400217, "dur": 0, "args": { - "id": 1178, + "id": 1034, "width": 1, "rows": 1024, - "context": 11264, - "flags": 3, - "value": 494.07770800000003 + "context": 0, + "flags": 0, + "value": 459.5299174800014 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68275250.20900066, + "ts": 48760734.12501137, "dur": 0, "args": { - "id": 1178, - "width": 1, - "rows": 0, - "context": 0, + "id": 1034, + "width": 1, + "rows": 1024, + "context": 13824, "flags": 0, "value": 0 } @@ -39781,15 +2597,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68306027.33400883, + "ts": 49245348.6250015, "dur": 0, "args": { - "id": 1179, + "id": 1034, "width": 1, - "rows": 8, - "context": 2385, - "flags": 2, - "value": 30.492959 + "rows": 1024, + "context": 13824, + "flags": 3, + "value": 484.399209 } }, { @@ -39797,46 +2613,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68306038.04200655, + "ts": 49245375.95899892, "dur": 0, "args": { - "id": 1179, + "id": 1034, "width": 1, - "rows": 6, - "context": 7, - "flags": 5, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68337800.50001223, + "ts": 49513555.58400974, "dur": 0, "args": { - "id": 1180, + "id": 1044, "width": 1, - "rows": 8, - "context": 2391, - "flags": 2, - "value": 31.526167 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 465.74724036000106 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68337818.83399934, + "ts": 49513555.70901069, "dur": 0, "args": { - "id": 1180, + "id": 1044, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 1024, + "context": 14848, + "flags": 0, "value": 0 } }, @@ -39845,15 +2661,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68366941.37501763, + "ts": 50028082.542004995, "dur": 0, "args": { - "id": 1181, + "id": 1044, "width": 1, - "rows": 8, - "context": 2393, - "flags": 2, - "value": 28.861041 + "rows": 1024, + "context": 14848, + "flags": 3, + "value": 514.318167 } }, { @@ -39861,46 +2677,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 68366947.54200289, + "ts": 50028325.542021774, "dur": 0, "args": { - "id": 1181, + "id": 1044, "width": 1, - "rows": 6, - "context": 7, - "flags": 5, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 68396426.7919946, + "ts": 50118982.042011335, "dur": 0, "args": { - "id": 1182, + "id": 1048, "width": 1, - "rows": 8, - "context": 2399, - "flags": 2, - "value": 29.155791999999998 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 955.7799440400016 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 68396436.29200873, + "ts": 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"dur": 0, "args": { - "id": 1202, + "id": 1085, "width": 1, - "rows": 8, - "context": 2477, - "flags": 2, - "value": 28.358 + "rows": 1024, + "context": 0, + "flags": 3, + "value": 363.237375 } }, { @@ -40597,45 +3381,45 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 69933153.74999656, + "ts": 60989675.25002081, "dur": 0, "args": { - "id": 1202, + "id": 1085, "width": 1, - "rows": 5, - "context": 7, - "flags": 4, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 69961065.91701391, + "ts": 61181480.62500404, "dur": 0, "args": { - "id": 1203, + "id": 1091, "width": 1, - "rows": 8, - "context": 2482, - "flags": 2, - "value": 27.70925 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 461.7388952863649 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 69961072.58400297, + "ts": 61181480.83399865, "dur": 0, "args": { - "id": 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0, "args": { - "id": 1216, + "id": 1140, "width": 1, - "rows": 8, - "context": 2539, - "flags": 2, - "value": 28.630959 + "rows": 1024, + "context": 7168, + "flags": 3, + "value": 458.637 } }, { @@ -41077,46 +3829,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 70763600.08399934, + "ts": 65304934.542014964, "dur": 0, "args": { - "id": 1216, + "id": 1140, "width": 1, - "rows": 4, - "context": 7, - "flags": 3, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 70791331.95901522, + "ts": 65542725.33400217, "dur": 0, "args": { - "id": 1217, + "id": 1149, "width": 1, - "rows": 8, - "context": 2543, - "flags": 2, - "value": 27.531625000000002 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 425.7432801153735 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 70791337.79200493, + "ts": 65542725.584004074, "dur": 0, "args": { - 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{ - "id": 1222, + "id": 1178, "width": 1, - "rows": 2048, - "context": 18432, + "rows": 1024, + "context": 11264, "flags": 3, - "value": 1135.495417 + "value": 494.07770800000003 } }, { @@ -41365,10 +4085,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 73524100.41700932, + "ts": 68275250.20900066, "dur": 0, "args": { - "id": 1222, + "id": 1178, "width": 1, "rows": 0, "context": 0, @@ -41381,15 +4101,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 73524132.54202111, + "ts": 68539723.04202034, "dur": 0, "args": { - "id": 1223, + "id": 1188, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 1024.0161836991151 + "value": 467.7762674935362 } }, { @@ -41397,13 +4117,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 73524132.62499613, + "ts": 68539723.33401906, "dur": 0, "args": { - "id": 1223, + "id": 1188, "width": 1, - "rows": 2048, - "context": 20480, + "rows": 1024, + "context": 12288, "flags": 0, "value": 0 } @@ -41413,15 +4133,15 @@ "ph": "X", "pid": 1, "tid": 1, - 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"context": 24576, + "rows": 1024, + "context": 14336, "flags": 0, "value": 0 } @@ -41541,15 +4261,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 77124308.70899698, + "ts": 70568616.04200093, "dur": 0, "args": { - "id": 1225, + "id": 1209, "width": 1, - "rows": 2048, - "context": 24576, + "rows": 1024, + "context": 14336, "flags": 3, - "value": 1278.869875 + "value": 468.372959 } }, { @@ -41557,10 +4277,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 77124344.16700853, + "ts": 70568643.25000788, "dur": 0, "args": { - "id": 1225, + "id": 1209, "width": 1, "rows": 0, "context": 0, @@ -41573,15 +4293,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 77127220.75000057, + "ts": 70819303.62500134, "dur": 0, "args": { - "id": 1226, + "id": 1219, "width": 1, - "rows": 2048, + "rows": 1024, "context": 0, "flags": 0, - "value": 1134.3387649511892 + "value": 480.9653114582106 } }, { @@ -41589,13 +4309,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 77127221.0419993, + "ts": 70819303.91700007, "dur": 0, "args": { - "id": 1226, + "id": 1219, "width": 1, - "rows": 2048, - "context": 26624, + "rows": 1024, + "context": 15360, "flags": 0, "value": 0 } @@ -41605,15 +4325,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 78394824.74999386, + "ts": 71319328.25001422, "dur": 0, "args": { - "id": 1226, + "id": 1219, "width": 1, - "rows": 2048, - "context": 26624, + "rows": 1024, + "context": 15360, "flags": 3, - "value": 1266.2031670000001 + "value": 498.71470899999997 } }, { @@ -41621,10 +4341,10 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 78394878.74999759, + "ts": 71319359.79201807, "dur": 0, "args": { - "id": 1226, + "id": 1219, "width": 1, "rows": 0, "context": 0, @@ -41637,15 +4357,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 78394914.45900057, + "ts": 71351791.08401644, "dur": 0, "args": { - "id": 1227, + "id": 1221, "width": 1, "rows": 2048, "context": 0, "flags": 0, - "value": 1167.304865463392 + "value": 970.8053216873159 } }, { @@ -41653,13 +4373,13 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 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"value": 1204.533875 } }, { @@ -41877,45 +4597,45 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80458733.91701025, + "ts": 75845203.95900472, "dur": 0, "args": { - "id": 1232, + "id": 1224, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 80490336.70901553, + "ts": 75845239.37501945, "dur": 0, "args": { - "id": 1233, + "id": 1225, "width": 1, - "rows": 8, - "context": 31758, - "flags": 2, - "value": 31.403667000000002 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 1086.1617282682523 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 80490344.20901445, + "ts": 75845239.37501945, "dur": 0, "args": { - "id": 1233, + "id": 1225, "width": 1, - "rows": 1, - "context": 7, + "rows": 2048, + "context": 24576, "flags": 0, "value": 0 } @@ -41925,15 +4645,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80521872.45900859, + "ts": 77124308.70899698, "dur": 0, "args": { - "id": 1234, + "id": 1225, "width": 1, - "rows": 8, - "context": 31759, - "flags": 2, - "value": 31.344125000000002 + "rows": 2048, + "context": 24576, + "flags": 3, + "value": 1278.869875 } }, { @@ -41941,46 +4661,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80521876.00001344, + "ts": 77124344.16700853, "dur": 0, "args": { - "id": 1234, + "id": 1225, "width": 1, - "rows": 8, - "context": 7, - "flags": 7, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 80550998.12502158, + "ts": 77127220.75000057, "dur": 0, "args": { - "id": 1235, + "id": 1226, "width": 1, - "rows": 8, - "context": 31767, - "flags": 2, - "value": 28.902250000000002 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 1134.3387649511892 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 80551002.24999478, + "ts": 77127221.0419993, "dur": 0, "args": { - "id": 1235, + "id": 1226, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 2048, + "context": 26624, + "flags": 0, "value": 0 } }, @@ -41989,15 +4709,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80581287.33400372, + "ts": 78394824.74999386, "dur": 0, "args": { - "id": 1236, + "id": 1226, "width": 1, - "rows": 8, - "context": 31769, - "flags": 2, - "value": 30.046625 + "rows": 2048, + "context": 26624, + "flags": 3, + "value": 1266.2031670000001 } }, { @@ -42005,45 +4725,45 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80581291.54201014, + "ts": 78394878.74999759, "dur": 0, "args": { - "id": 1236, + "id": 1226, "width": 1, - "rows": 1, - "context": 7, + "rows": 0, + "context": 0, "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 80611000.79200697, + "ts": 78394914.45900057, "dur": 0, "args": { - "id": 1237, + "id": 1227, "width": 1, - "rows": 8, - "context": 31770, - "flags": 2, - "value": 29.492917000000002 + "rows": 2048, + "context": 0, + "flags": 0, + "value": 1167.304865463392 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 80611007.25000142, + "ts": 78394914.50000787, "dur": 0, "args": { - "id": 1237, + "id": 1227, "width": 1, - "rows": 1, - "context": 7, + "rows": 2048, + "context": 28672, "flags": 0, "value": 0 } @@ -42053,15 +4773,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80641753.45900002, + "ts": 79689568.41700128, "dur": 0, "args": { - "id": 1238, + "id": 1227, "width": 1, - "rows": 8, - "context": 31771, - "flags": 2, - "value": 30.559917 + "rows": 2048, + "context": 28672, + "flags": 3, + "value": 1294.388834 } }, { @@ -42069,46 +4789,46 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80641758.29201122, + "ts": 79689607.87501419, "dur": 0, "args": { - "id": 1238, + "id": 1227, "width": 1, - "rows": 1, - "context": 7, + "rows": 0, + "context": 0, "flags": 0, "value": 0 } }, { - "name": "batch.observation", + "name": "prefill.prediction", "ph": "X", "pid": 1, "tid": 1, - "ts": 80672926.41699897, + "ts": 79689640.87500353, "dur": 0, "args": { - "id": 1239, + "id": 1228, "width": 1, - "rows": 8, - "context": 31772, - "flags": 2, - "value": 30.976833 + "rows": 1024, + "context": 0, + "flags": 0, + "value": 599.537928798772 } }, { - "name": "batch.counters", + "name": "prefill.lane", "ph": "X", "pid": 1, "tid": 1, - "ts": 80672930.41700032, + "ts": 79689641.08399814, "dur": 0, "args": { - "id": 1239, + "id": 1228, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 1024, + "context": 30720, + "flags": 0, "value": 0 } }, @@ -42117,15 +4837,15 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80702692.0420176, + "ts": 80336647.5420189, "dur": 0, "args": { - "id": 1240, + "id": 1228, "width": 1, - "rows": 8, - "context": 31774, - "flags": 2, - "value": 29.569833 + "rows": 1024, + "context": 30720, + "flags": 3, + "value": 646.6827499999999 } }, { @@ -42133,14 +4853,14 @@ "ph": "X", "pid": 1, "tid": 1, - "ts": 80702701.16699976, + "ts": 80336691.37500691, "dur": 0, "args": { - "id": 1240, + "id": 1228, "width": 1, - "rows": 2, - "context": 7, - "flags": 1, + "rows": 0, + "context": 0, + "flags": 0, "value": 0 } } From 6eac21b294e09d34f197cd0360453c4ffec72035 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 08:53:36 +0530 Subject: [PATCH 20/22] Require full mixed-stream budgets and record actual memory snapshots --- dev/benchmarks/serving_regression.py | 14 ++++++++-- dev/tests/tools/test_serving_profile.py | 35 +++++++++++++++++++++++++ 2 files changed, 47 insertions(+), 2 deletions(-) diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index 721eb1fd2..d699662c7 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -308,6 +308,10 @@ def streamed( smoke.require( chunks and usage is not None, "stream omitted content or final usage" ) + smoke.require( + usage["completion_tokens"] == tokens, + "stream ended before its requested output budget", + ) cached = usage.get("prompt_tokens_details", {}).get("cached_tokens", 0) smoke.require( cached > 0 if expect_cached else cached == 0, @@ -456,6 +460,10 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt, contex "mixed requests left resources active", ) active, long, short = responses + smoke.require( + [row["usage"]["prompt_tokens"] for row in responses] == [2048, context, 512], + "mixed prompt rows changed", + ) cached = long["usage"].get("prompt_tokens_details", {}).get("cached_tokens", 0) overlap = native_overlap( native_samples, @@ -500,8 +508,10 @@ def measure_mixed(server, args, active_prompt, long_prompt, short_prompt, contex }, "thermal_before": before.get("thermal_state"), "thermal_after": after.get("thermal_state"), - "memory_before": before.get("memory"), - "memory_after": after.get("memory"), + "memory_before": before.get("memory_actual"), + "memory_after": after.get("memory_actual"), + "memory_pressure_before": before.get("memory_pressure"), + "memory_pressure_after": after.get("memory_pressure"), } diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index b07197dfc..27a08fc25 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -144,6 +144,41 @@ def test_prefill_observations_keep_the_representative_flag(self): class PairedServingTests(unittest.TestCase): + def test_mixed_stream_refuses_a_short_output_budget(self): + import argparse + import json + from unittest.mock import Mock + + args = argparse.Namespace(model="test/model", request_timeout=1) + for count in (31, 32): + usage = {"prompt_tokens": 2048, "completion_tokens": count} + frames = [ + {"choices": [{"delta": {"content": "answer"}}]}, + {"choices": [], "usage": usage}, + ] + connection = Mock() + connection.getresponse.return_value.status = 200 + connection.getresponse.return_value.readline.side_effect = [ + *(b"data: " + json.dumps(frame).encode() + b"\n" for frame in frames), + b"data: [DONE]\n", + ] + with patch.object( + serving_regression.http.client, + "HTTPConnection", + return_value=connection, + ): + if count == 31: + with self.assertRaisesRegex( + serving_regression.smoke.SmokeFailure, "output budget" + ): + serving_regression.streamed(Mock(port=1234), args, "prompt", 32) + else: + result = serving_regression.streamed( + Mock(port=1234), args, "prompt", 32 + ) + self.assertEqual(result["usage"], usage) + connection.close.assert_called_once() + def test_warmup_uses_equal_matched_rounds_until_both_arms_are_ready(self): import argparse From 73ce741a4aa739edfb43f8f39eb54ebc19eb92e1 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 09:16:51 +0530 Subject: [PATCH 21/22] Hold a scoped sleep assertion and reject suspended benchmark runs --- dev/benchmarks/serving_regression.py | 46 ++++++++++++++++++++++++- dev/tests/tools/test_serving_profile.py | 37 ++++++++++++++++++-- 2 files changed, 80 insertions(+), 3 deletions(-) diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index d699662c7..4cfde51ff 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -18,6 +18,7 @@ import math import os import subprocess +import sys import threading import time import uuid @@ -54,13 +55,50 @@ def fingerprint(path): def environment(): - return { + snapshot = { key: subprocess.check_output(command, text=True).strip() for key, command in ( ("power", ["pmset", "-g", "batt"]), ("thermal", ["pmset", "-g", "therm"]), ) } + return {**snapshot, "unix_seconds": time.time(), "awake_seconds": time.monotonic()} + + +def validate_awake_period(report): + before, after = report["environment"], report["final_environment"] + difference = (after["unix_seconds"] - before["unix_seconds"]) - ( + after["awake_seconds"] - before["awake_seconds"] + ) + report["unaccounted_wall_seconds"] = difference + smoke.require( + abs(difference) < 1, + "system suspend or wall-clock adjustment invalidated the benchmark; rerun awake", + ) + + +@contextlib.contextmanager +def keep_awake(): + keeper = None + if sys.platform == "darwin": + keeper = subprocess.Popen( + ["/usr/bin/caffeinate", "-is", "-w", str(os.getpid())], + stdout=subprocess.DEVNULL, + stderr=subprocess.DEVNULL, + ) + try: + yield + finally: + if keeper is not None: + try: + keeper.terminate() + except ProcessLookupError: + pass + try: + keeper.wait(timeout=5) + except subprocess.TimeoutExpired: + keeper.kill() + keeper.wait(timeout=5) @contextlib.contextmanager @@ -692,6 +730,7 @@ def run_sequential(args, tokenizer, report, binaries): server.log.seek(0) (args.output / f"round-{arm}.log").write_text(server.log.read()) report["final_environment"] = environment() + validate_awake_period(report) report["complete"] = True except BaseException as error: report["error"] = str(error) @@ -700,6 +739,7 @@ def run_sequential(args, tokenizer, report, binaries): path.write_text(json.dumps(report, indent=2) + "\n") +@keep_awake() def main(): args = parse_args() args.output.mkdir(parents=True, exist_ok=True) @@ -715,6 +755,9 @@ def main(): "scenario": args.scenario, "residency": args.residency, "tool_sha256": fingerprint(Path(__file__)), + "sleep_prevention": "caffeinate -is scoped to benchmark process" + if sys.platform == "darwin" + else "unavailable on this platform", "primary_metric": "native decode cycle seconds/token" if args.scenario == "decode" else "total workload wall seconds/output token", @@ -833,6 +876,7 @@ def main(): report["probes"] = [fallback_probes(server, args) for server in servers] report["final_status"] = [status(server, args) for server in servers] report["final_environment"] = environment() + validate_awake_period(report) report["complete"] = True except BaseException as error: report["error"] = str(error) diff --git a/dev/tests/tools/test_serving_profile.py b/dev/tests/tools/test_serving_profile.py index 27a08fc25..9e3a55320 100644 --- a/dev/tests/tools/test_serving_profile.py +++ b/dev/tests/tools/test_serving_profile.py @@ -144,6 +144,31 @@ def test_prefill_observations_keep_the_representative_flag(self): class PairedServingTests(unittest.TestCase): + def test_suspend_is_rejected_even_when_abba_costs_could_be_stable(self): + report = { + "environment": {"unix_seconds": 100, "awake_seconds": 20}, + "final_environment": {"unix_seconds": 110, "awake_seconds": 30}, + } + serving_regression.validate_awake_period(report) + report["final_environment"]["unix_seconds"] += 600 + with self.assertRaisesRegex(serving_regression.smoke.SmokeFailure, "suspend"): + serving_regression.validate_awake_period(report) + self.assertEqual(report["unaccounted_wall_seconds"], 600) + + def test_sleep_assertion_is_released_on_failure(self): + from unittest.mock import Mock + + keeper = Mock() + with ( + patch.object(serving_regression.sys, "platform", "darwin"), + patch.object(serving_regression.subprocess, "Popen", return_value=keeper), + ): + with self.assertRaisesRegex(RuntimeError, "workload failed"): + with serving_regression.keep_awake(): + raise RuntimeError("workload failed") + keeper.terminate.assert_called_once() + keeper.wait.assert_called_once_with(timeout=5) + def test_mixed_stream_refuses_a_short_output_budget(self): import argparse import json @@ -316,7 +341,11 @@ def close(self): startup_timeout=1, batch=1, ) - report = {"initial_status": [], "complete": False} + report = { + "initial_status": [], + "complete": False, + "environment": {"unix_seconds": 100, "awake_seconds": 20}, + } case = { "context": 2048, "workload": "code", @@ -331,7 +360,11 @@ def close(self): patch.object(serving_regression.smoke, "RealServer", Server), patch.object(serving_regression, "warm_servers", return_value={}), patch.object(serving_regression, "status", return_value={}), - patch.object(serving_regression, "environment", return_value={}), + patch.object( + serving_regression, + "environment", + return_value={"unix_seconds": 100, "awake_seconds": 20}, + ), patch.object( serving_regression, "measure_case", From 53b367da0003a6b4a8b86d05f101bddfd1bddab4 Mon Sep 17 00:00:00 2001 From: linson Date: Wed, 21 Oct 2026 09:19:11 +0530 Subject: [PATCH 22/22] Document suspend validity checks and identify sequential reports accurately --- dev/benchmarks/serving-measurements.md | 8 ++++++++ dev/benchmarks/serving_regression.py | 4 +++- 2 files changed, 11 insertions(+), 1 deletion(-) diff --git a/dev/benchmarks/serving-measurements.md b/dev/benchmarks/serving-measurements.md index 9c794c141..4db580b3e 100644 --- a/dev/benchmarks/serving-measurements.md +++ b/dev/benchmarks/serving-measurements.md @@ -63,6 +63,14 @@ analysis. Full traces remain ignored build artifacts. ## Paired cold HTTP throughput +Each benchmark holds a process-scoped `caffeinate -is` assertion on macOS; +it releases that assertion on success or failure. It does not change global +power settings. Reports compare elapsed UTC and the Mac's awake monotonic +clock, and reject a difference of one second or more as suspension or a wall +clock adjustment, even if ABBA costs happen to look stable. A power-log audit +invalidated several overnight captures; those are retained as excluded data +and repeated while awake. Power/thermal snapshots alone do not detect sleep. + The new harness keeps two servers resident, then issues serial requests in baseline/candidate/candidate/baseline order. It never contacts an existing server. The shorter separation between arms reduces one source of thermal diff --git a/dev/benchmarks/serving_regression.py b/dev/benchmarks/serving_regression.py index 4cfde51ff..6ab99f2fa 100644 --- a/dev/benchmarks/serving_regression.py +++ b/dev/benchmarks/serving_regression.py @@ -751,7 +751,9 @@ def main(): ) binaries = [args.baseline_binary, args.binary] report = { - "method": "two resident servers, serial cold requests with unique cache salts, paired ABBA", + "method": "one resident server per ABBA round, matched workload histories" + if args.residency == "sequential" + else "two resident servers, serial requests with unique cache salts, paired ABBA", "scenario": args.scenario, "residency": args.residency, "tool_sha256": fingerprint(Path(__file__)),