TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
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Updated
Feb 12, 2020
TensorFlow wheels built for latest CUDA/CuDNN and enabled performance flags: SSE, AVX, FMA; XLA
Automatically compile TensorFlow Python3 wheels in a docker container. Updated with CUDA 10.2 support.
自己构建的tensorflow gpu的whl,包括没有AVX指令集的构建。tensorflow gpu's whl build files, including builds without AVX instruction set.
Tensorflow 1.x & 2.x wheels built from source targeting NVIDIA GPUs with compute capability 3.0
Tensorflow 1.14.1 .whl package No AVX, No CUDA, SSE4.2, Python 3.6, Ubuntu 18.04
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