The NVIDIA container image of TensorFlow, release 17.06, is available.
TensorFlow container image version 17.06 is based on TensorFlow 1.1.0.
Contents of TensorFlow
This container image contains the complete source of the version of NVIDIA TensorFlow in /opt/tensorflow. It is pre-built and installed into the /usr/local/[bin,lib] directories in the container image.
To achieve optimum TensorFlow performance, for image based training, the container includes a sample script that demonstrates efficient training of convolutional neural networks (CNNs). The sample script may need to be modified to fit your application. The container also includes the following:
- Ubuntu 16.04
- NVIDIA CUDA® 8.0.61
- NVIDIA CUDA® Deep Neural Network library™ (cuDNN) 6.0.21
- NVIDIA® Collective Communications Library ™ (NCCL) 1.6.1 (optimized for NVLink™ )
Key Features and Enhancements
This TensorFlow release includes the following key features and enhancements.
- Ubuntu 16.04 with May 2017 updates
Known Issues
The inception_v4 model, with a batch size of 64 per GPU, and with large input images or resolution (for example, 480 pixels on the shortest side), are seen to run out of memory. To work around this in TensorFlow 17.06, reduce the resolution or reduce the batch size to allow the model to fit.