Add topic 06 benchmark test suite

.github/workflows/topic06-benchmark.yml

@@ -0,0 +1,47 @@
+name: Topic 06 Compiler Benchmark
+
+on:
+  push:
+  pull_request:
+
+jobs:
+  topic06-benchmark:
+    runs-on: ubuntu-latest
+    timeout-minutes: 15
+
+    steps:
+      - name: Check out repository
+        uses: actions/checkout@v4
+
+      - name: Set up Python
+        uses: actions/setup-python@v5
+        with:
+          python-version: "3.11"
+
+      - name: Install ScratchV and benchmark dependencies
+        run: |
+          python -m pip install --upgrade pip
+          python -m pip install -e ".[topic06]"
+
+      - name: Verify Topic 06 integration contracts
+        run: python -m pytest tests/topic06/test_integration.py -q
+
+      - name: Run supported correctness gates
+        run: |
+          python scripts/run_topic06_benchmarks.py --category activation --fail-on-test-failure
+          python scripts/run_topic06_benchmarks.py --category elementwise --fail-on-test-failure
+          python scripts/run_topic06_benchmarks.py --category loop --fail-on-test-failure
+
+      - name: Generate full diagnostic benchmark report
+        run: python scripts/run_topic06_benchmarks.py --benchmark 3
+
+      - name: Upload Topic 06 reports
+        if: always()
+        uses: actions/upload-artifact@v4
+        with:
+          name: topic06-benchmark-reports
+          path: |
+            benchmark_reports/topic06/report.md
+            benchmark_reports/topic06/report.json
+            benchmark_reports/topic06/failures/
+            benchmarks/topic06/baseline.json

Makefile

@@ -1,7 +1,7 @@
 # ScratchV developer makefile
 .POSIX:
 
-.PHONY: quick-start install test bench bench-cnn clean lint
+.PHONY: quick-start install test bench bench-topic06 bench-cnn clean lint
 
 # ── Beginner quick-start ─────────────────────────────────────────────────────
 
@@ -48,6 +48,11 @@ bench:
 		--output-json benchmark_reports/dsl_bench.json \
 		--output-html benchmark_reports/dsl_bench.html
 
+# ── Topic 06 DSL correctness + TinyFive benchmark ─────────────────────────
+
+bench-topic06:
+	python3 scripts/run_topic06_benchmarks.py --benchmark 3
+
 # ── CNN RISC-V 编译 + 估算 ────────────────────────────────────────────────
 
 bench-cnn:

README.md

@@ -39,6 +39,7 @@
 ```bash
 make quick-start    # 打印新手引导
 make test           # 运行全部测试
+make bench-topic06  # 运行课题 06 TinyFive 性能测试套件
 make bench-cnn      # 编译 CNN 模型 + 性能估算
 make bench-ci       # 完整 CI 对比 (ScratchV vs LLVM)
 make bench-reports  # 生成 Dashboard + 优化历史
@@ -62,9 +63,9 @@ ScratchV/
 │   ├── 00~04-*.md        ← 新手入门 5 篇
 │   ├── topics/           ← 30 个模块详解
 │   └── topics/html/      ← 🌐 交互式课程站点
-├── benchmarks/           ← 23 个 DSL 基准用例
-├── tests/                ← 348 个单元测试
-├── scripts/              ← 工具脚本
+├── benchmarks/           ← 通用基准与课题 06 性能基线
+├── tests/                ← 单元测试及课题 06 的 23 个 DSL 用例
+├── scripts/              ← 工具脚本及课题 06 测试驱动
 └── models/               ← 测试用 ONNX 模型
 ```
 
@@ -104,6 +105,7 @@ ONNX 模型 (.onnx)
 | [📖 文档导航](docs/INDEX.md) | 全部 Markdown 文档索引 |
 | [🏗️ 架构总览](docs/ARCHITECTURE.md) | ONNX→RISC-V 双路径详解 |
 | [📊 性能仪表盘](https://scratchv-compiler.github.io/ScratchV/dashboard.html) | LLVM vs ScratchV 对比 |
+| [课题 06 测试套件](docs/topics/06-性能测试套件使用说明.md) | TinyFive 正确性验证、Benchmark 与回归报告 |
 | [📢 项目海报](https://scratchv-compiler.github.io/ScratchV/ScratchV.html) | 招募信息 + 3个月学习路线 + 课题精选 |
 
 ---

benchmarks/topic06/baseline.json

@@ -0,0 +1,102 @@
+{
+  "add_relu_relu": {
+    "category": "activation",
+    "avg_instr_count": 7.0,
+    "runs": 3
+  },
+  "relu_add": {
+    "category": "activation",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "relu_only": {
+    "category": "activation",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "relu_twice": {
+    "category": "activation",
+    "avg_instr_count": 6.0,
+    "runs": 3
+  },
+  "add_chain": {
+    "category": "elementwise",
+    "avg_instr_count": 4.0,
+    "runs": 3
+  },
+  "add_chain_3": {
+    "category": "elementwise",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "add_fan_in_4": {
+    "category": "elementwise",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "add_reuse": {
+    "category": "elementwise",
+    "avg_instr_count": 4.0,
+    "runs": 3
+  },
+  "vector_add": {
+    "category": "elementwise",
+    "avg_instr_count": 3.0,
+    "runs": 3
+  },
+  "loop_add_4": {
+    "category": "loop",
+    "avg_instr_count": 22.0,
+    "runs": 3
+  },
+  "loop_add_chain_4": {
+    "category": "loop",
+    "avg_instr_count": 26.0,
+    "runs": 3
+  },
+  "loop_relu_add_4": {
+    "category": "loop",
+    "avg_instr_count": 30.0,
+    "runs": 3
+  },
+  "dot_4": {
+    "category": "reduction",
+    "avg_instr_count": 3.0,
+    "runs": 3
+  },
+  "dot_8": {
+    "category": "reduction",
+    "avg_instr_count": 3.0,
+    "runs": 3
+  },
+  "dot_relu_4": {
+    "category": "reduction",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "dot_relu_8": {
+    "category": "reduction",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  },
+  "matmul_2x2": {
+    "category": "tensor",
+    "avg_instr_count": 3.0,
+    "runs": 3
+  },
+  "matmul_4x4": {
+    "category": "tensor",
+    "avg_instr_count": 3.0,
+    "runs": 3
+  },
+  "matmul_add_2x2": {
+    "category": "tensor",
+    "avg_instr_count": 4.0,
+    "runs": 3
+  },
+  "matmul_relu_2x2": {
+    "category": "tensor",
+    "avg_instr_count": 5.0,
+    "runs": 3
+  }
+}