TensorFlow Release 18.10

The NVIDIA container image of TensorFlow, release 18.10, is available.

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 as a system Python module.

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.

Driver Requirements

Release 18.10 is based on CUDA 10, which requires NVIDIA Driver release 410.xx. However, if you are running on Tesla (Tesla V100, Tesla P4, Tesla P40, or Tesla P100), you may use NVIDIA driver release 384. For more information, see CUDA Compatibility and Upgrades.

Key Features and Enhancements

This TensorFlow release includes the following key features and enhancements.
  • TensorFlow container image version 18.10 is based on TensorFlow 1.10.0.
  • Latest version of NCCL 2.3.6.
  • Latest version of DALI 0.4 Beta
  • Latest version of OpenMPI 3.1.2
  • Fixed a bug in the ResNet example script when using NHWC data format.
  • Fixed several issues when accelerating inference in TensorFlow with TensorRT including support for ReLu6, Identity, and dilated convolutions.
  • Ubuntu 16.04 with September 2018 updates

Accelerating Inference In TensorFlow With TensorRT

For step-by-step instructions on how to use TF-TRT, see Accelerating Inference In TensorFlow With TensorRT User Guide. To view the key features, software enhancements and improvements, and known issues, see the Release Notes.

Known Issues

OpenSeq2Seq is only supported in the Python 3 container.