Aaron Keesing

This wheel was compiled with the official Arch Linux PKGBUILD. Release: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_2.4.0_linux_gpu_py39_cm7x_cuda112_cudnn8_avx2_mkl

[tensorflow-2.3.0-cp38-cp38-linux_x86_64.whl](https://github.com/agkphysics/tensorflow-wheels/releases/download/tf_2.3.0_gpu_cm7x_cuda110_cudnn8_avx2_mkl_trt7/tensorflow-2.3.0-cp38-cp38-linux_x86_64.whl)

Built using a modified Arch Linux [PKGBUILD](https://www.archlinux.org/packages/community/x86_64/tensorflow/). [tensorflow_gpu-1.14.1-cp38-cp38-linux_x86_64.whl](https://github.com/agkphysics/tensorflow-wheels/releases/download/tf_1.14.1_gpu_cm7x_cuda102_cudnn7_avx2_mkl_trt6/tensorflow_gpu-1.14.1-cp38-cp38-linux_x86_64.whl) (238 MB)

Built using a modified Arch Linux [PKGBUILD](https://www.archlinux.org/packages/community/x86_64/tensorflow/). [tensorflow_gpu-1.15.0-cp38-cp38-linux_x86_64.whl](https://github.com/agkphysics/tensorflow-wheels/releases/download/tf_1.15.0_gpu_cm7x_cuda102_cudnn7_avx2_mkl_trt6/tensorflow_gpu-1.15.0-cp38-cp38-linux_x86_64.whl) (243 MB)

Built using a modified Arch Linux [PKGBUILD](https://www.archlinux.org/packages/community/x86_64/tensorflow/). [tensorflow_gpu-2.1.0-cp38-cp38-linux_x86_64.whl](https://github.com/agkphysics/tensorflow-wheels/releases/download/tf_2.1.0_gpu_cm7x_cuda102_cudnn7_avx2_mkl_trt6/tensorflow_gpu-2.1.0-cp38-cp38-linux_x86_64.whl) (242 MB)

TensorFlow 2.10.0 Linux GPU (Compute 5.2-8.7), Python 3.8-3.10, CUDA 11.7, cuDNN 8, AVX2, MKL, TensorRT 8

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This build solves issues https://github.com/tensorflow/tensorflow/issues/57663 and https://github.com/tensorflow/tensorflow/issues/57671 The wheels are available on the release pages: - Python 3.8: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_2.10.0_gpu_cuda117_cudnn8_avx2_mkl_trt8 - Python 3.9: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_2.10.0_gpu_py39_cuda117_cudnn8_avx2_mkl_trt8 - Python 3.10: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_2.10.0_gpu_py310_cuda117_cudnn8_avx2_mkl_trt8

TensorFlow 2.14.1, 2.15.0 + TF-Text + Keras, Linux GPU (Compute 5.2-9.0), Python 3.8-3.12, CUDA 12.3, cuDNN 8.9, AVX2, MKL, TensorRT 8.6

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Release: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_gpu_cuda12.3_cudnn8.9_avx2_mkl_trt8.6

Release: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_gpu_cuda12.2_cudnn8.9_avx2_mkl_trt8.6

Release: https://github.com/agkphysics/tensorflow-wheels/releases/tag/tf_2.7-2.11_gpu_py3x_cuda118_cudnn8_avx2_mkl_trt8

GPU traces fail when using PyTorch lightning due to square braces in traceName

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PyTorch Lightning saves traces in the format `fit-profiler-[Strategy]SingleDeviceStrategy-ts.pt.trace.json`, and thus the `traceName` key contains a square brace `]`. Since the `traceName` key is the final key in the JSON file,...