Version 1.4.0 Release

release-note-bugfix

• Fix a race condition when using thrust::async::sort
  release-note-build

• Exit with 0 if no tests in pytest

release-note-core

• Improve the speed of transpose function

release-note-examples

• Added auto-forward for pycpp

release-note-op-layer

• Use thrust async sort and custom make_seqeuence for faster operation.

release-note-utility

• Add DaliIterator

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda101 # For CUDA version 10.1 users

Note that CUDA 10.1 and cuDNN 7.6 are set as default if versions are not specified. You can also install the cuda extension with specific versions from one of the following. See also FAQ

• nnabla-ext-cuda80 (CUDA 8.0 x cuDNN 7.1)
• nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
• nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
• nnabla-ext-cuda101 (CUDA 10.1 x cuDNN 7.6)

pip install nnabla
pip install nnabla_ext_cuda101  # For CUDA 10.1 x cuDNN 7.6 users

Additional setup may be required depending on your OS or environment. Please check Python Package Installation Guide for details.

Install Guide

To use C++ inference feature, follow the demonstration on MNIST inference in C++.

Demonstration

For distributed training, you need to build a binary from source. See the guide for building multi-GPU training package.

Build Guide

The "nnabla-ext-cuda" package is temporarily unavailable. Use of this package is not recommended. Please install nnabla-ext-cuda101, nnabla-ext-cuda100, nnabla-ext-cuda90 or nnabla-ext-cuda80 instead.
The following nnabla CUDA extension packages have been deprecated and the PyPi repository has been closed.

• nnabla-ext-cuda91
• nnabla-ext-cuda92
  The following "nnabla-ext-cuda" docker images have been deprecated.
• py37-cuda92
• py36-cuda92
• py27-cuda92
• py37-cuda92-v1.0.xx
• py36-cuda92-v1.0.xx
• py27-cuda92-v1.0.xx

We've decided to change nnabla's versioning policy to semantic versioning.
This change has been applied from version 1.1.0.