Microsoft Cognitive Toolkit Release 18.02
The NVIDIA container image of Microsoft Cognitive Toolkit, release 18.02, is available.
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
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
This image of the Microsoft Cognitive Toolkit 2.3.1, is built with the following options enabled:
- Async SGD
- Python 3 API
- Ubuntu 16.04 including Python 3.4 environment
- NVIDIA CUDA 9.0.176 including:
- CUDA® Basic Linear Algebra Subroutines library™ (cuBLAS) 9.0.282 Patch 2 which is installed by default
- cuBLAS 9.0.234 Patch 1 as a debian file. Installing Patch 1 by issuing the
dpkg -i /opt/cuda-cublas-9-0_9.0.234-1_amd64.debcommand is the workaround for the known issue described below.
- NVIDIA CUDA® Deep Neural Network library™ (cuDNN) 7.0.5
- NCCL 2.1.2 (optimized for NVLink™ )
- OpenMPI™ 3.0.0
Release 18.02 is based on CUDA 9, which requires NVIDIA Driver release 384.xx.
Key Features and Enhancements
- Latest version of cuBLAS
- Ubuntu 16.04 with January 2018 updates
cuBLAS 9.0.282 regresses RNN seq2seq FP16 performance for a small subset of input sizes. This issue should be fixed in the next update. As a workaround, install cuBLAS 9.0.234 Patch 1 by issuing the
dpkg -i /opt/cuda-cublas-9-0_9.0.234-1_amd64.deb command.