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@TomonobuTsujikawa TomonobuTsujikawa released this 11 Jul 07:08
· 71 commits to master since this release
v1.36.0
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Learn about vigilant mode.

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release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda116 # For CUDA version 11.6.2 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-cuda116 (CUDA 11.6.2 x cuDNN 8.4)
pip install nnabla
pip install nnabla_ext_cuda116  # For CUDA 11.6.2 x cuDNN 8.4 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-cuda116 (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-cuda116 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-cuda114
  • 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
  • py37-cuda114-v1.xx.x
  • py38-cuda114-v1.xx.x
  • py39-cuda114-v1.xx.x
  • py310-cuda114-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.
CUDA11.4 is no longer be supported from v1.34.0.

Known Issue:

  • cufftXtMakePlanMany returns CUFFT_INVALID_PLAN on Windows + CUDA>=11.4.3 environment. See details here
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