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Update changelog.
Bump the minimum CUDA 12 pip package versions to the current releases.
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CHANGELOG.md
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CHANGELOG.md
@ -19,9 +19,19 @@ Remember to align the itemized text with the first line of an item within a list
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* {func}`jax.scipy.stats.mode` now returns a 0 count if the mode is taken
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* {func}`jax.scipy.stats.mode` now returns a 0 count if the mode is taken
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across a size-0 axis, matching the behavior of `scipy.stats.mode` in SciPy
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across a size-0 axis, matching the behavior of `scipy.stats.mode` in SciPy
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1.11.
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1.11.
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* Removed the "No GPU/TPU" found warning. Instead warn if, on Linux, an
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NVIDIA GPU or a Google TPU are found but not used and `--jax_platforms` was
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not specified.
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# jaxlib 0.4.17
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# jaxlib 0.4.17
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* Changes:
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* Python 3.12 wheels were added in this release.
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* The CUDA 12 wheels now require CUDA 12.2.
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* Bug fixes:
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* Fixed log spam from ABSL when the JAX CPU backend was initialized.
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## jax 0.4.16 (Sept 18, 2023)
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## jax 0.4.16 (Sept 18, 2023)
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* Changes
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* Changes
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14
setup.py
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setup.py
@ -123,14 +123,14 @@ setup(
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'cuda12_pip': [
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'cuda12_pip': [
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f"jaxlib=={_current_jaxlib_version}+cuda12.cudnn{_default_cuda12_cudnn_version}",
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f"jaxlib=={_current_jaxlib_version}+cuda12.cudnn{_default_cuda12_cudnn_version}",
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"nvidia-cublas-cu12",
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"nvidia-cublas-cu12>=12.2.5.6",
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"nvidia-cuda-cupti-cu12",
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"nvidia-cuda-cupti-cu12>=12.2.142",
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"nvidia-cuda-nvcc-cu12",
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"nvidia-cuda-nvcc-cu12>=12.2.140",
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"nvidia-cuda-runtime-cu12",
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"nvidia-cuda-runtime-cu12>=12.2.140",
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"nvidia-cudnn-cu12>=8.9",
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"nvidia-cudnn-cu12>=8.9",
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"nvidia-cufft-cu12",
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"nvidia-cufft-cu12>=11.0.8.103",
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"nvidia-cusolver-cu12",
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"nvidia-cusolver-cu12>=11.5.2",
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"nvidia-cusparse-cu12",
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"nvidia-cusparse-cu12>=12.1.2.141",
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],
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],
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# Target that does not depend on the CUDA pip wheels, for those who want
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# Target that does not depend on the CUDA pip wheels, for those who want
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