TensorFlow Release 18.03

The NVIDIA container image of TensorFlow, release 18.03, 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.

The container also includes the following:

• Ubuntu 16.04
  Note:

  Container image 18.03-py2 contains Python 2.7; 18.03-py3 contains Python 3.5.

• NVIDIA CUDA 9.0.176 (see Errata section and 2.1) including CUDA^® Basic Linear Algebra Subroutines library™ (cuBLAS) 9.0.333 (see section 2.3.1)
• NVIDIA CUDA^® Deep Neural Network library™ (cuDNN) 7.1.1
• NCCL 2.1.2 (optimized for NVLink™ )
• Horovod™ 0.11.3
• OpenMPI™ 3.0.0
• TensorBoard 0.4.0-rc1

Driver Requirements

Release 18.03 is based on CUDA 9, which requires NVIDIA Driver release 384.xx.

Key Features and Enhancements

This TensorFlow release includes the following key features and enhancements.

• TensorFlow container image version 18.03 is based on TensorFlow 1.4.0.
• Latest updates to OpenSeq2Seq module
• Latest version of cuBLAS 9.0.333
• Latest version of cuDNN 7.1.1
• Latest version of OpenMPI 3.0.0
• Latest version of Horovod 0.11.3
• Latest version of TensorBoard 0.4.0-rc1
• Ubuntu 16.04 with February 2018 updates

Announcements

Starting with the next major version of CUDA release, we will no longer provide Python 2 containers and will only maintain Python 3 containers.

Known Issues

There are no known issues in this release.