W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations.
用bazel进行源码安装tensorflow
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这个特别的优化版本是针对TensorFlow进行了特定的硬件加速技术的集成,包括SSE(Streaming SIMD Extensions)、AVX(Advanced Vector Extensions)、FMA(Fused Multiply-Add)以及XLA(Accelerated Linear Algebra...
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在Mac下,跑MNIST例子会提示 “Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.2 AVX AVX2 FMA”需要安装这个安装包
具有conda支持的已发布。请参阅。请测试! mach-nix-创建高度可复制的python环境 Mach-nix使创建和共享可复制的python环境或程序包变得容易。...可以进行硬件优化,例如针对tensorflow的SSE / AVX / FMA,而无