chore(deps): bump the all-updates group across 1 directory with 3 updates

[dependabot]

Updates the requirements on rand, candle-core and candle-nn to permit the latest version.
Updates rand to 0.10.0

Changelog

Sourced from rand's changelog.

[0.10.0] - 2026-02-08

Changes

• The dependency on rand_chacha has been replaced with a dependency on chacha20. This changes the implementation behind StdRng, but the output remains the same. There may be some API breakage when using the ChaCha-types directly as these are now the ones in chacha20 instead of rand_chacha (#1642).
• Rename fns IndexedRandom::choose_multiple -> sample, choose_multiple_array -> sample_array, choose_multiple_weighted -> sample_weighted, struct SliceChooseIter -> IndexedSamples and fns IteratorRandom::choose_multiple -> sample, choose_multiple_fill -> sample_fill (#1632)
• Use Edition 2024 and MSRV 1.85 (#1653)
• Let Fill be implemented for element types, not sliceable types (#1652)
• Fix OsError::raw_os_error on UEFI targets by returning Option<usize> (#1665)
• Replace fn TryRngCore::read_adapter(..) -> RngReadAdapter with simpler struct RngReader (#1669)
• Remove fns SeedableRng::from_os_rng, try_from_os_rng (#1674)
• Remove Clone support for StdRng, ReseedingRng (#1677)
• Use postcard instead of bincode to test the serde feature (#1693)
• Avoid excessive allocation in IteratorRandom::sample when amount is much larger than iterator size (#1695)
• Rename os_rng -> sys_rng, OsRng -> SysRng, OsError -> SysError (#1697)
• Rename Rng -> RngExt as upstream rand_core has renamed RngCore -> Rng (#1717)

Additions

• Add fns IndexedRandom::choose_iter, choose_weighted_iter (#1632)
• Pub export Xoshiro128PlusPlus, Xoshiro256PlusPlus prngs (#1649)
• Pub export ChaCha8Rng, ChaCha12Rng, ChaCha20Rng behind chacha feature (#1659)
• Fn rand::make_rng() -> R where R: SeedableRng (#1734)

Removals

• Removed ReseedingRng (#1722)
• Removed unused feature "nightly" (#1732)
• Removed feature small_rng (#1732)

#1632: rust-random/rand#1632 #1642: rust-random/rand#1642 #1649: rust-random/rand#1649 #1652: rust-random/rand#1652 #1653: rust-random/rand#1653 #1659: rust-random/rand#1659 #1665: rust-random/rand#1665 #1669: rust-random/rand#1669 #1674: rust-random/rand#1674 #1677: rust-random/rand#1677 #1693: rust-random/rand#1693 #1695: rust-random/rand#1695 #1697: rust-random/rand#1697 #1717: rust-random/rand#1717 #1722: rust-random/rand#1722 #1732: rust-random/rand#1732 #1734: rust-random/rand#1734

[0.9.2] - 2025-07-20

Deprecated

• Deprecate rand::rngs::mock module and StepRng generator (#1634)

... (truncated)

Commits

• acc5f24 Prepare v0.10.0 releases (#1729)
• 95c5165 Add fn rand::make_rng (#1734)
• 146da58 CHANGELOG: add PR links (#1738)
• 8cacd6d README tweaks (#1737)
• 28e3df8 Update chacha20: use ChaChaCore directly; remove bytes_until_reseed field (#1...
• 03db311 Replace fn reseed_and_generate with try_to_reseed
• b14483e Apply inline attr to fn generate
• fda8f74 Remove bytes_until_reseed field
• 213bb3b Bump chacha20 to 0.10.0-rc.11
• 72afe1e Minor tweaks; prepare v0.10.0-rc.9 (#1736)
• Additional commits viewable in compare view

Updates candle-core to 0.10.0

Changelog

Sourced from candle-core's changelog.

Changelog

This documents the main changes to the candle crate.

v0.3.1 - Unreleased

Added

Modified

v0.3.0 - 2023-10-01

Added

• Added the Mistral 7b v0.1 model 983.
• Quantized version of the Mistral model 1009.
• Add the gelu-erf op and activation function 969.
• Add the mixformer/phi-v1.5 model 930.
• Add the sclice-scatter op 927.
• Add the Wuerstchen diffusion model 911.

Modified

• Support for simd128 intrinsics in some quantized vecdots 982.
• Optimize the index-select cuda kernel 976.
• Self-contained safetensor wrappers 946.

v0.2.2 - 2023-09-18

Added

• Support for top_p sampling 819.
• T5 model including decoding 864.
• 1-d upsampling 839.

Modified

• Bugfix for conv2d 820.
• Support tensor based indexing using .i 842.

... (truncated)

Commits

• 153cadd Bump candle version to 0.10.0 (#3432)
• 96066e8 fix(flash-attn-v3): add -fPIC on non-MSVC targets (#3380)
• a9060dc Run conv2d_c_eq_h_eq_w test in f32 as it is still precise and metal does not ...
• 58694bb feat: add #[non_exhaustive] to DType enum (#3412)
• 25805ff Fix some NaNs with GGML quantized (#3428)
• a7d8427 fix(metal): buffer pool rounds 2 down by 1 (#3394)
• c6a4649 Guard against NULL architecture pointer on simulators (#3392)
• 6b4d8a1 fix: exclude tokenizers dependency on wasm32 targets (#3414)
• e0e33e9 [Metal] Use StorageModePrivate for intermediate compute buffers (#3416)
• f7e39a4 feat: add eps() and remove_mean() getters to LayerNorm and RmsNorm (#3387)
• Additional commits viewable in compare view

Updates candle-nn to 0.10.0

Changelog

Sourced from candle-nn's changelog.

Changelog

This documents the main changes to the candle crate.

v0.3.1 - Unreleased

Added

Modified

v0.3.0 - 2023-10-01

Added

• Added the Mistral 7b v0.1 model 983.
• Quantized version of the Mistral model 1009.
• Add the gelu-erf op and activation function 969.
• Add the mixformer/phi-v1.5 model 930.
• Add the sclice-scatter op 927.
• Add the Wuerstchen diffusion model 911.

Modified

• Support for simd128 intrinsics in some quantized vecdots 982.
• Optimize the index-select cuda kernel 976.
• Self-contained safetensor wrappers 946.

v0.2.2 - 2023-09-18

Added

• Support for top_p sampling 819.
• T5 model including decoding 864.
• 1-d upsampling 839.

Modified

• Bugfix for conv2d 820.
• Support tensor based indexing using .i 842.

... (truncated)

Commits

• 153cadd Bump candle version to 0.10.0 (#3432)
• 96066e8 fix(flash-attn-v3): add -fPIC on non-MSVC targets (#3380)
• a9060dc Run conv2d_c_eq_h_eq_w test in f32 as it is still precise and metal does not ...
• 58694bb feat: add #[non_exhaustive] to DType enum (#3412)
• 25805ff Fix some NaNs with GGML quantized (#3428)
• a7d8427 fix(metal): buffer pool rounds 2 down by 1 (#3394)
• c6a4649 Guard against NULL architecture pointer on simulators (#3392)
• 6b4d8a1 fix: exclude tokenizers dependency on wasm32 targets (#3414)
• e0e33e9 [Metal] Use StorageModePrivate for intermediate compute buffers (#3416)
• f7e39a4 feat: add eps() and remove_mean() getters to LayerNorm and RmsNorm (#3387)
• Additional commits viewable in compare view

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