TF

TensorFlow Engineering with CUDA GPU for Deep Learning

2017-03-13. Category & Tags: Deep Learning, TensorFlow, GPU, CUDA, TF

See also:

Install #

Summary: install CUDA first, then TF.
ref TF 1.0 doc
ref nvidia doc, until step 3

requirements #

  • 64-bit Linux
  • Python 2.7 or 3.3+ (3.5 used in this blog)
  • NVIDIA CUDA 7.5 (8.0 if Pascal GPU)
  • NVIDIA cuDNN >v4.0 (v5.1 recommended)
  • NVIDIA GPU with compute capability >3.0

steps #

1.Manually download “cuDNN v6.0 Library for Linux”.
2.Bash auto Install CUDA in Ubuntu 16.04.2, can combine (&& \) with code below.
3.Install cuDNN, PIP:

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