chore(deps): bump the rs-dependencies group in /burn-algorithms with 3 updates #17

dependabot · 2024-09-01T10:52:48Z

Updates the requirements on burn, burn-common and derive-new to permit the latest version.
Updates burn to 0.14.0

Release notes

v0.14.0

Summary

This release marks the debut of our CubeCL integration, which brings cross-platform GPU programming capabilities directly to Rust. With CubeCL now supporting both CUDA and WebGPU, Burn benefits from a new CUDA backend that can be enabled using the cuda-jit feature. Please note that this backend is still considered experimental, and some operations, particularly those related to vision, may experience issues.

Additionally, this release features significant enhancements to ONNX support, including bug fixes, new operators, and improvements in code generation.

As always, it also includes numerous bug fixes, performance enhancements, new tensor operations, and improved documentation.

Burn 0.14.0 introduces a new tensor data format that significantly enhances serialization and deserialization speeds and introduces Quantization, a new Beta feature included in this release. The format is not compatible with previous versions of Burn, but you can migrate your previously saved records using this guide.

Module & Tensor

(@laggui) Add RoPE init_with_frequency_scaling (#2194)

(@laggui) Add 0-dim tensor checks for creation ops and validate TensorData shape w/ num values (#2137)

(@wingertge): Add Hard sigmoid activation function (#2112)

(@antimora): Add is_nan and contains_nan tensor ops (#2088)

(@laggui) Convert compatible prelu weights to rank 1 (#2054)

(@laggui) Refactor tensor quantization for q_* ops (#2025)

(@RuelYasa): Adding burn::nn::Sigmoid (#2031)

(@laggui) Module weight quantization (#2000)

(@louisfd): Cube: Matmul tiling (#1994)

(@antimora): Enhance slice operation to support more range variation (#1989)

(@laggui) Add static tensor quantization (#1963)

(@johnhuichen): Enable negative starts and ends for slice op (#1981)

(@booti386): Implement 3D and transposed 3D convolutions. (#1945)

(@antimora): Print module - implement module display for remaining modules (part2) (#1933)

(@antimora): Print model structure like with PyTorch - Part 1 (#1912)

(@DieracDelta): Tanh nn wrapper (#1903)

(@laggui) Implement Element for bool (#1878)

(@LilDojd) Feat: Add movedim tensor operator (#1876)

(@ArthurBrussee): Make autodiff compile on wasm (#1889)

(@ArthurBrussee): Make Param.id public (#1859)

(@kantic) Remainder operator (#1726)

(@McArthur-Alford) Indices Operator (#1735)

(@laggui) Add seq start position when applying RoPE encoding (#1796)

(@JachymPutta): Adding max import (#1769)

(@agelas): Feat/squeeze dims (#1779)

(@wcshds) Implement bidirectional LSTM (#1035)

(@agelas): Feat/remainder (#1597)

Bug Fixes

(@laggui) Fix root-mean-square precision issue (#2193)

(@laggui) Fix indices dim check in gather_update_outputs (#2149)

(@antimora): Fix #2091 bug (in-place after expand) (#2114)

(@laggui) Fix aggregation results slice (#2110)

(@nathanielsimard): Fix: fusion auto bound checks (#2087)

... (truncated)

Commits

4e99dde Fix burn-import version to onnx-ir
0edfc38 Remove burn-compute from github action
7eb3a7b Add cuda in CI publish
9881ca6 Update cubecl version
79cd3d5 Fix gather unchecked kernel (#2206)
978ac6c Chore: Update to newer cubecl version (#2181)
9adf493 Bump syn from 2.0.74 to 2.0.75 (#2173)
0beec0e Scatter kernel from cpa to cubecl (#2169)
c94e743 Tensor type indent fix (#2196)
2c12d58 pad-input-fix: adding support for pads as attributes (#2195)
Additional commits viewable in compare view

Updates burn-common to 0.14.0

Release notes

Sourced from burn-common's releases.

v0.14.0

Summary

This release marks the debut of our CubeCL integration, which brings cross-platform GPU programming capabilities directly to Rust. With CubeCL now supporting both CUDA and WebGPU, Burn benefits from a new CUDA backend that can be enabled using the cuda-jit feature. Please note that this backend is still considered experimental, and some operations, particularly those related to vision, may experience issues.

Additionally, this release features significant enhancements to ONNX support, including bug fixes, new operators, and improvements in code generation.

As always, it also includes numerous bug fixes, performance enhancements, new tensor operations, and improved documentation.

Burn 0.14.0 introduces a new tensor data format that significantly enhances serialization and deserialization speeds and introduces Quantization, a new Beta feature included in this release. The format is not compatible with previous versions of Burn, but you can migrate your previously saved records using this guide.

Module & Tensor

(@laggui) Add RoPE init_with_frequency_scaling (#2194)

(@laggui) Add 0-dim tensor checks for creation ops and validate TensorData shape w/ num values (#2137)

(@wingertge): Add Hard sigmoid activation function (#2112)

(@antimora): Add is_nan and contains_nan tensor ops (#2088)

(@laggui) Convert compatible prelu weights to rank 1 (#2054)

(@laggui) Refactor tensor quantization for q_* ops (#2025)

(@RuelYasa): Adding burn::nn::Sigmoid (#2031)

(@laggui) Module weight quantization (#2000)

(@louisfd): Cube: Matmul tiling (#1994)

(@antimora): Enhance slice operation to support more range variation (#1989)

(@laggui) Add static tensor quantization (#1963)

(@johnhuichen): Enable negative starts and ends for slice op (#1981)

(@booti386): Implement 3D and transposed 3D convolutions. (#1945)

(@antimora): Print module - implement module display for remaining modules (part2) (#1933)

(@antimora): Print model structure like with PyTorch - Part 1 (#1912)

(@DieracDelta): Tanh nn wrapper (#1903)

(@laggui) Implement Element for bool (#1878)

(@LilDojd) Feat: Add movedim tensor operator (#1876)

(@ArthurBrussee): Make autodiff compile on wasm (#1889)

(@ArthurBrussee): Make Param.id public (#1859)

(@kantic) Remainder operator (#1726)

(@McArthur-Alford) Indices Operator (#1735)

(@laggui) Add seq start position when applying RoPE encoding (#1796)

(@JachymPutta): Adding max import (#1769)

(@agelas): Feat/squeeze dims (#1779)

(@wcshds) Implement bidirectional LSTM (#1035)

(@agelas): Feat/remainder (#1597)

Bug Fixes

(@laggui) Fix root-mean-square precision issue (#2193)

(@laggui) Fix indices dim check in gather_update_outputs (#2149)

(@antimora): Fix #2091 bug (in-place after expand) (#2114)

(@laggui) Fix aggregation results slice (#2110)

(@nathanielsimard): Fix: fusion auto bound checks (#2087)

... (truncated)

Commits

4e99dde Fix burn-import version to onnx-ir
79cd3d5 Fix gather unchecked kernel (#2206)
978ac6c Chore: Update to newer cubecl version (#2181)
0beec0e Scatter kernel from cpa to cubecl (#2169)
c94e743 Tensor type indent fix (#2196)
2c12d58 pad-input-fix: adding support for pads as attributes (#2195)
f5a1eca Fix root-mean-square precision issue (#2193)
4999421 Add RoPE init_with_frequency_scaling (#2194)
17de832 Make compatible with thumbv6m-none-eabi + add raspberry pi pico example (#2096)
e1fed79 Gather CPA to CubeCL (#2165)
Additional commits viewable in compare view

Updates derive-new to 0.7.0

Commits

6626d8f Update compiletest
1e024dd cargo update, etc.
3389ef2 Fix doc tests
bd4486d implement into and into_iter
a9230ac fix tests
77cb828 Merge pull request #67 from Paragit-Solutions/implement-new-method-visibility
cacbada Merge pull request #66 from shellixyz/patch-1
d11f631 Add documentation
3311408 Add visibility to test struct to test compilation and correct macro expansion
61853b7 Make the default visibility public
Additional commits viewable in compare view

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Updates the requirements on [burn](https://github.com/tracel-ai/burn), [burn-common](https://github.com/tracel-ai/burn) and [derive-new](https://github.com/nrc/derive-new) to permit the latest version. Updates `burn` to 0.14.0 - [Release notes](https://github.com/tracel-ai/burn/releases) - [Commits](tracel-ai/burn@v0.13.2...v0.14.0) Updates `burn-common` to 0.14.0 - [Release notes](https://github.com/tracel-ai/burn/releases) - [Commits](tracel-ai/burn@v0.13.2...v0.14.0) Updates `derive-new` to 0.7.0 - [Commits](nrc/derive-new@0.6.0...0.7) --- updated-dependencies: - dependency-name: burn dependency-type: direct:production dependency-group: rs-dependencies - dependency-name: burn-common dependency-type: direct:production dependency-group: rs-dependencies - dependency-name: derive-new dependency-type: direct:production dependency-group: rs-dependencies ... Signed-off-by: dependabot[bot] <support@github.com>

dependabot bot added dependencies Pull requests that update a dependency file rust Pull requests that update Rust code labels Sep 1, 2024

drasko merged commit f3a81fe into main Sep 11, 2024
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dependabot bot deleted the dependabot/cargo/burn-algorithms/rs-dependencies-7d6e3ddd92 branch September 11, 2024 22:39

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chore(deps): bump the rs-dependencies group in /burn-algorithms with 3 updates #17

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chore(deps): bump the rs-dependencies group in /burn-algorithms with 3 updates #17

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v0.14.0

Summary

Module & Tensor

Bug Fixes

v0.14.0

Summary

Module & Tensor

Bug Fixes

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