Kha Nguyen lotusirous

## compile_tensorflow_serving.sh
#!/bin/bash


TENSORFLOW_COMMIT=bef67104a0da34b6cac0d801168f2e42a1ab7921 # July 7, 2017
TENSORFLOW_SERVING_COMMIT=15cb2ace25493161d47b0d76047b3997d371e59c # July 14, 2017
MODELS_COMMIT=3d97b007cdb2c73f23daf9141437796095436c22 # July 7, 2017

if [ -z $TENSORFLOW_SERVING_REPO_PATH ]; then
	TENSORFLOW_SERVING_REPO_PATH="serving"
fi

## build-tensorflow-from-source.md

      
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                lotusirous
                / build-tensorflow-from-source.md
            
            
              Created
              September 10, 2017 13:14
                — forked from Brainiarc7/build-tensorflow-from-source.md
            
              
                Build Tensorflow from source, for better performance 
              
          
    Building Tensorflow from source on Linux for maximum performance:
TensorFlow is now distributed under an Apache v2 open source license on GitHub.
Step 1. Install NVIDIA CUDA:
To use TensorFlow with NVIDIA GPUs, the first step is to install the CUDA Toolkit.
Step 2. Install NVIDIA cuDNN:
	#!/bin/bash


	TENSORFLOW_COMMIT=bef67104a0da34b6cac0d801168f2e42a1ab7921 # July 7, 2017
	TENSORFLOW_SERVING_COMMIT=15cb2ace25493161d47b0d76047b3997d371e59c # July 14, 2017
	MODELS_COMMIT=3d97b007cdb2c73f23daf9141437796095436c22 # July 7, 2017

	if [ -z $TENSORFLOW_SERVING_REPO_PATH ]; then
	TENSORFLOW_SERVING_REPO_PATH="serving"
	fi