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TensorFlow: Upstream changes to git.
Changes: - Doc type fixes. Base CL: 107356208
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configure

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## Set up Cuda-related environment settings
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while [ "$TF_NEED_CUDA" == "" ]; do
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read -p "Do you wish to bulid TensorFlow with GPU support? [y/n] " INPUT
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read -p "Do you wish to build TensorFlow with GPU support? [y/n] " INPUT
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case $INPUT in
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[Yy]* ) echo -e "GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=1;;
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[Nn]* ) echo -e "No GPU support will be enabled for TensorFlow\n"; TF_NEED_CUDA=0;;

tensorflow/g3doc/resources/index.md

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Additional details about the TensorFlow programming model and the underlying
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implementation can be found in out white paper:
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* [TensorFlow: Large-scale machine learning on heterogeneous systems](http://www.tensorflow.org/whitepaper2015.pdf)
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* [TensorFlow: Large-scale machine learning on heterogeneous systems](http://download.tensorflow.org/paper/whitepaper2015.pdf)
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### Citation <a class="md-anchor" id="AUTOGENERATED-citation"></a>
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tensorflow/g3doc/tutorials/recurrent/index.md

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And if you have a fast GPU, run the following:
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```
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bazel build -c opt tensorflow --config=cuda \
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tensorflow/models/rnn/ptb:ptb_word_lm
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bazel build -c opt --config=cuda tensorflow/models/rnn/ptb:ptb_word_lm
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```
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Now we can run the model:
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```
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bazel-bin/.../ptb_word_lm \
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bazel-bin/tensorflow/models/rnn/ptb/ptb_word_lm \
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--data_path=/tmp/simple-examples/data/ --alsologtostderr --model small
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```
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