PyTorch Release 17.11
The NVIDIA container image of PyTorch, release 17.11, is available.
PyTorch container image version 17.11 is based on PyTorch 0.2.0.
Contents of PyTorch
This container image contains the complete source of the version of PyTorch in /opt/pytorch
. It is pre-built and installed in the pytorch-py35
Conda™ environment in the container image.
The container also includes the following:
- Ubuntu 16.04
- NVIDIA CUDA 9.0.176 including CUDA® Basic Linear Algebra Subroutines library™ (cuBLAS) 9.0.234
- NVIDIA CUDA® Deep Neural Network library™ (cuDNN) 7.0.4
- NCCL 2.1.2 (optimized for NVLink™ )
Driver Requirements
Release 17.11 is based on CUDA 9, which requires NVIDIA Driver release 384.xx.
Key Features and Enhancements
This PyTorch release includes the following key features and enhancements.
- Tensor Op accelerated RNNs for Volta architecture
- Improved depthwise separable convolution performance
- Improved automatic differentiation engine latency
- Latest version of CUDA
- Latest version of cuDNN
- Latest version of NCCL
- Ubuntu 16.04 with October 2017 updates
Known Issues
There are no known issues in this release.