mind/wheels
Performance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
This project offers pre-compiled TensorFlow packages that run faster by taking advantage of specific features in your computer's processor (CPU) or graphics card (GPU). If you're building or running machine learning models and seeing warnings about unoptimized TensorFlow, these packages will help. Data scientists and machine learning engineers who need to speed up their TensorFlow computations on Linux systems will find this useful.
885 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or data scientist running TensorFlow models on a Linux machine (Ubuntu 16.04 LTS) with a modern Intel CPU and/or Nvidia GPU, and you want to ensure TensorFlow utilizes your hardware's full capabilities for faster computations.
Not ideal if you are using Windows, macOS (except for a specific 1.4 CPU build), an older CPU/GPU, or if you prefer to build TensorFlow from source with custom configurations.
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Jul 15, 2019
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