The NVIDIA container image of Microsoft Cognitive Toolkit, release 17.04, is available.
Microsoft Cognitive Toolkit container image version 17.04 is based on Microsoft Cognitive Toolkit 2.0.beta15.0.
Contents of the Microsoft Cognitive Toolkit
This container image contains the source files that are used to build the Microsoft Cognitive Toolkit in the /opt/cntk directory. The Microsoft Cognitive Toolkit binaries are pre-built and installed into the /usr/local/cntk directory.
A Python 3.4 Conda environment (including the Microsoft Cognitive Toolkit module) is installed in the /opt/conda/envs/cntk-py34 directory. This is included in PATH, so by default the python command executes a Python 3.4 interpreter. To use the base Ubuntu Python 2.7 binary, you can either adjust PATH or explicitly call /usr/bin/python.
This image of the Microsoft Cognitive Toolkit, 2.0beta15.0, is built with the following options enabled:
- 1-bit SGD
- Async SGD
- Python 3 API
- OpenCV
- Kaldi
The container also includes the following:
- Ubuntu 16.04
- NVIDIA CUDA® 8.0.61
- NVIDIA CUDA® Deep Neural Network library™ (cuDNN) 6.0.20
- NCCL 1.6.1 (optimized for NVLink™ )
Key Features and Enhancements
This Microsoft Cognitive Toolkit release includes the following key features and enhancements.
- Dilated convolution support (carried over from 17.03)
- Fixed major bug from Microsoft Cognitive Toolkit 2.0 beta 15 affecting multi-GPU training with NCCL
- Fixed minor bug in end-of-sweep detection
- Ubuntu 16.04 with March 2017 updates
Known Issues
There are no known issues in this release.