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tensorflow

  • Getting started with tensorflow
  • Awesome Book
  • Awesome Community
  • Awesome Course
  • Awesome Tutorial
  • Awesome YouTube
  • Creating a custom operation with tf.py_func (CPU only)
  • Creating RNN, LSTM and bidirectional RNN/LSTMs with TensorFlow
  • How to debug a memory leak in TensorFlow
  • How to use TensorFlow Graph Collections?
  • Math behind 2D convolution with advanced examples in TF
  • Matrix and Vector Arithmetic
  • Measure the execution time of individual operations
  • Minimalist example code for distributed Tensorflow.
  • Multidimensional softmax
  • Placeholders
  • Q-learning
  • Reading the data
  • Save and Restore a Model in TensorFlow
  • Save Tensorflow model in Python and load with Java
  • Simple linear regression structure in TensorFlow with Python
  • Tensor indexing
  • TensorFlow GPU setup
    • Control the GPU memory allocation
    • List the available devices available by TensorFlow in the local process.
    • Run TensorFlow Graph on CPU only - using `tf.config`
    • Run TensorFlow on CPU only - using the `CUDA_VISIBLE_DEVICES` environment variable.
    • Use a particular set of GPU devices
  • Using 1D convolution
  • Using Batch Normalization
  • Using if condition inside the TensorFlow graph with tf.cond
  • Using transposed convolution layers
  • Variables
  • Visualizing the output of a convolutional layer


tensorflow

  • Getting started with tensorflow
  • Awesome Book
  • Awesome Community
  • Awesome Course
  • Awesome Tutorial
  • Awesome YouTube
  • Creating a custom operation with tf.py_func (CPU only)
  • Creating RNN, LSTM and bidirectional RNN/LSTMs with TensorFlow
  • How to debug a memory leak in TensorFlow
  • How to use TensorFlow Graph Collections?
  • Math behind 2D convolution with advanced examples in TF
  • Matrix and Vector Arithmetic
  • Measure the execution time of individual operations
  • Minimalist example code for distributed Tensorflow.
  • Multidimensional softmax
  • Placeholders
  • Q-learning
  • Reading the data
  • Save and Restore a Model in TensorFlow
  • Save Tensorflow model in Python and load with Java
  • Simple linear regression structure in TensorFlow with Python
  • Tensor indexing
  • TensorFlow GPU setup
    • Control the GPU memory allocation
    • List the available devices available by TensorFlow in the local process.
    • Run TensorFlow Graph on CPU only - using `tf.config`
    • Run TensorFlow on CPU only - using the `CUDA_VISIBLE_DEVICES` environment variable.
    • Use a particular set of GPU devices
  • Using 1D convolution
  • Using Batch Normalization
  • Using if condition inside the TensorFlow graph with tf.cond
  • Using transposed convolution layers
  • Variables
  • Visualizing the output of a convolutional layer

tensorflow TensorFlow GPU setup


Introduction

This topic is about setting up and managing GPUs in TensorFlow.

It assumes that the GPU version of TensorFlow has been installed (see https://www.tensorflow.org/install/ for more information on the GPU installation).

You also might want to have a look to the official documentation: https://www.tensorflow.org/tutorials/using_gpu

Remarks

Main sources:

  • https://www.tensorflow.org
  • https://github.com/tensorflow/tensorflow/blob/master/tensorflow/core/protobuf/config.proto
  • https://stackoverflow.com/a/37901914
  • https://github.com/tensorflow/tensorflow/issues/152
  • https://github.com/tensorflow/tensorflow/issue/9201

TensorFlow GPU setup Related Examples

  • Control the GPU memory allocation
  • List the available devices available by TensorFlow in the local process.
  • Run TensorFlow Graph on CPU only - using `tf.config`
  • Run TensorFlow on CPU only - using the `CUDA_VISIBLE_DEVICES` environment variable.
  • Use a particular set of GPU devices



pdf PDF - Download tensorflow for free


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This modified text is an extract of the original Stack Overflow Documentation created by following contributors and released under CC BY-SA 3.0
This website is not affiliated with Stack Overflow

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