- 17 2月, 2025 7 次提交
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
Also fixes bug in Scan L_op and Max R_op Co-authored-by:Adrian Seyboldt <aseyboldt@users.noreply.github.com>
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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- 13 2月, 2025 3 次提交
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
Also remove bad default values
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由 dependabot[bot] 提交于
Bumps [pypa/gh-action-pypi-publish](https://github.com/pypa/gh-action-pypi-publish) from 1.12.2 to 1.12.4. - [Release notes](https://github.com/pypa/gh-action-pypi-publish/releases) - [Commits](https://github.com/pypa/gh-action-pypi-publish/compare/v1.12.2...v1.12.4) --- updated-dependencies: - dependency-name: pypa/gh-action-pypi-publish dependency-type: direct:production update-type: version-update:semver-patch ... Signed-off-by:
dependabot[bot] <support@github.com>
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- 12 2月, 2025 6 次提交
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
Also cleans up implementation and documentation
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由 Ricardo Vieira 提交于
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- 10 2月, 2025 1 次提交
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由 Ricardo Vieira 提交于
* Split and inverse * PyTorch inline constants in dispatch to avoid graph breaks
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- 06 2月, 2025 1 次提交
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由 Ricardo Vieira 提交于
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- 04 2月, 2025 4 次提交
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由 Ricardo Vieira 提交于
Deprecate obscure ndim kwarg
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由 ricardoV94 提交于
A shortcut in the numpy implementation of einsum_path when there's nothing to optimize, creates a default path that can combine more than 2 operands. Our implementation only works with 2 or 1 operand operations at each step. https://github.com/numpy/numpy/blob/cc5851e654bfd82a23f2758be4bd224be84fc1c3/numpy/_core/einsumfunc.py#L945-L951
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由 ricardoV94 提交于
Nothing clever was going on, unknown dims were simply faked as having length 8 for JAX polymorphism export
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由 ricardoV94 提交于
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- 03 2月, 2025 2 次提交
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
Internal API changed in numba 0.61 Existing benchmarks don't show any difference in performance
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- 01 2月, 2025 2 次提交
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由 ricardoV94 提交于
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由 Ricardo Vieira 提交于
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- 29 1月, 2025 6 次提交
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
It replaces the old warning that does not actually apply by a more informative and actionable one. This warning was for Ops that might use the alternative blas_headers, which rely on the Numpy C-API. However, regular PyTensor user has not used this for a while. The only Op that would use C-code with this alternative headers is the GEMM Op which is not included in current rewrites. Instead Dot22 or Dot22Scalar are introduced, which refuse to generate C-code altogether if the blas flags are missing.
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由 Adhvaith Hundi 提交于
* Add 'overwrite_existing' flag to allow graph rewrites and include appropriate testing * Encapsulate test rewriters and use user-facing API --------- Co-authored-by:Ricardo Vieira <ricardo.vieira1994@gmail.com>
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- 28 1月, 2025 1 次提交
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由 Jesse Grabowski 提交于
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- 25 1月, 2025 1 次提交
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由 Adarsh Dubey 提交于
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- 24 1月, 2025 6 次提交
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由 Luciano Paz 提交于
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由 Ricardo Vieira 提交于
Also allow arbitrary capitalization of the modes. Also make linker and optimizer non-mutable config as the mode is cached after using them for the first time.
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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由 Ricardo Vieira 提交于
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