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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

tensorflowTensorFlow 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 - Download tensorflow for free


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