Version 1.32.0 Release

release-note-bugfix

• Avoid net['names'] dict is overwrite
• Fix save function for the parameters created by narrow
• Fix the timing of fill and zero evaluations in narrowed array
• fix crash problem of pipeline
• fix:skip unnecessary download
• Not to all-reduce gradients of beta and gamma in sync BN
• correct index error in generate_cache_dir().

release-note-build

• Change python version to 3.9.14 in aarch64 environment
• change pip installation method
• Support python3.10
• Added ca-certificates to Dockerfiles
• fix version mismatch for libarchive.so

release-note-core

• Release unused memory in auto forward mode

release-note-doc

• update document for watch dog timeout setting
• Update nnabla converter document
• Add callback APIs to doc

release-note-examples

• Update colab demo scripts and nnabla-ext-cuda version to 114

release-note-format-converter

• python3.10 converter dependency for onnx and tensorflow
• Loose converter python packages requirements
• upgrade onnx to 1.10.0

release-note-op-layer

• Faster LayerNormCuda::setup_impl (GN and IN as well) by removing unnecessary function creation

release-note-utility

• Create cache on each distributed node

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda110 # For CUDA version 11.0.3 users

You can also install the cuda extension with specific versions from one of the following. See also FAQ

• nnabla-ext-cuda110 (CUDA 11.0.3 x cuDNN 8.0)
• nnabla-ext-cuda114 (CUDA 11.4.3 x cuDNN 8.0)

pip install nnabla
pip install nnabla_ext_cuda110  # For CUDA 11.0.3 x cuDNN 8.0 users

The nnabla cuda extension supports both centralized and distributed training.
Below packages detect MPI and NCCL2 installed on your system. If either one
of then is unavailable, distributed training is disabled.

• nnabla-ext-cuda110 (Ubuntu18.04 default)
• nnabla-ext-cuda114 (Ubuntu18.04 default)

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

Build Guide
The "nnabla-ext-cuda" package is temporarily unavailable. Use of this package is not recommended. Please install nnabla-ext-cuda110, nnabla-ext-cuda114 instead.
The following nnabla CUDA extension packages have been deprecated and the PyPi repository has been (or going to be) closed.

• nnabla-ubuntu16
• nnabla-ubuntu18
• nnabla-ext-cuda
• nnabla-ext-cuda80
• nnabla-ext-cuda91
• nnabla-ext-cuda92
• nnabla-ext-cuda100
• nnabla-ext-cuda101
• nnabla-ext-cuda90-nccl2-ubuntu16
• nnabla-ext-cuda100-nccl2-ubuntu16
• nnabla-ext-cuda100-nccl2-ubuntu18
• nnabla-ext-cuda101-nccl2-ubuntu16
• nnabla-ext-cuda101-nccl2-ubuntu18
• nnabla-ext-cuda102-nccl2-mpi2-1-1
• nnabla-ext-cuda102-nccl2-mpi3-1-6
• nnabla-ext-cuda110-nccl2-mpi2-1-1
• nnabla-ext-cuda110-nccl2-mpi3-1-6

The following "nnabla-ext-cuda" docker images have been deprecated.

• py27-cuda92
• py36-cuda92
• py37-cuda92
• py27-cuda92-v1.0.xx
• py36-cuda92-v1.0.xx
• py37-cuda92-v1.0.xx
• py36-cuda100-v1.xx.x
• py37-cuda100-v1.xx.x
• py38-cuda100-v1.xx.x
• py39-cuda100-v1.xx.x
• py36-cuda102-v1.xx.x
• py37-cuda102-v1.xx.x
• py38-cuda102-v1.xx.x
• py39-cuda102-v1.xx.x

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

Python 2 is no longer be supported from v1.5.0.
CUDA8.0 is no longer be supported from v1.6.0.
Python3.5 is no longer be supported from v1.14.0.
CUDA9.0 is no longer be supported from v1.14.0.
Python3.6 is no longer be supported from v1.26.0.
CUDA10.0 is no longer be supported from v1.26.0.
CUDA10.2 is no longer be supported from v1.30.0.