Version 1.37.0 Release

release-note-bugfix

• All executor properties should be saved
• Fix Slice, MatMul, and ConstantOfShape in ONNX importer
• adjust certifi dependency
• pack zlib dll for windows alllib wheel
• Make dockerfiles noninteractive while building

release-note-build

• Replace centos7 to rockylinux8
• fix numpy error
• pycodestyle update auto format
• Remove docker inspect in makefile
• fix readthedocs and cython dependency
• upgrade docker base ubuntu2004

release-note-doc

• Update nnabla converter document for release nnabla

release-note-format-converter

• Update tf version and drop python3.7
• fixed Importer and test of Unique
• Add onnx importer functions: ScatterND, EyeLike, Mod2, BitShift, and Unique
• fix onnx range inputs

release-note-utility

• support all types read from hdf5 file

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)
• nnabla-ext-cuda120 (CUDA 12.0.1 x cuDNN 8.8)

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 (Ubuntu20.04 default)
• nnabla-ext-cuda116 (Ubuntu20.04 default)
• nnabla-ext-cuda120 (Ubuntu20.04 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, nnabla-ext-cuda120 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.
Python3.7 is no longer be supported from v1.37.0.

Version 1.36.0 Release

release-note-bugfix

• fix tensor shape propagate error
• Fix installation failure with HDF5
• Bring back stft test, and remove version limit of librosa
• Enlarge interpolate test rtol
• Add dllexport/import to create_Callback

release-note-build

• add dependency of nnabla to nnabla-converter
• add pillow limitation for nnabla dependency
• change default cuda version in the document and colab demos
• reduce wheel size by stripping so libs

release-note-doc

• Add .readthedocs.yaml v2

release-note-format-converter

• Selectable onnx IR version
• Upgrade tf2onnx version
• change the default batch size for exporter

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.

Version 1.35.1 Release

release-note-bugfix

• fix simple data source shuffle problem

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.

Version 1.35.0 Release

sony/nnabla

release-note-bugfix

• Fix wheel too big problem

release-note-build

• Use vs2019 default path
• Use user's pip cache in build-with-docker
• change aarch64 docker image base
• Enable FFT/IFFT pytests run on win32 when CUDA>=11.4
• change protobuf3.19.4 to protobuf3.19.6
• fix stft test error with fixing librosa version

release-note-doc

• Update nnabla-doc build requirements.txt
• update windows documents

release-note-format-converter

• prune the constant branches
• Add 8 operators to ONNX importer

release-note-op-layer

• Lion optimizer

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.

Version 1.34.0 Release

release-note-bugfix

• Check consistency among memory layouts in SyncBatchNormalization
• Suppress unnecessary error msg for the deallocation of a child array

release-note-build

• fix alllib wheel dependency in cuda11.6
• CUDA11.6 Support

release-note-doc

• update bibtex and supported features
• update MacOS document
• update linux documents

release-note-format-converter

• Add NonZero, NonMaxSuppression, OneHot, and Resize support to ONNX importer

release-note-utility

• enable shuffle of slice data source at the end of epoch

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.

Version 1.33.1 Release

release-note-bugfix

• Fix executing profile on CPU environment.

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.

Version 1.33.0 Release

release-note-bugfix

• Fix a potential bug in memory-release behavior in auto forward mode
• dynamic numpy version

release-note-build

• Update default python version to 3.8 in documents and makefiles
• build python with pyenv
• add support for android-ndk-r25b

release-note-core

• Options to scale gradients and to keep dtype in allreduce callback

release-note-doc

• Update nnabla convert doc at 20221210

release-note-format-converter

• add a new subcommand for optimization of nnp model in proto graph

release-note-utility

• adjust save/load function for optimizer state.
• support larger than 2GB file by refining the use of hdf5

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.

Version 1.32.1 Release

release-note-build

• fix namespace packages for wheel to pass twine check

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.

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.

Version 1.31.0 Release

release-note-bugfix

• implement drop_last option for slice
• fix numpy indice error due to numpy version update
• add code to allow unlink variable

release-note-build

• add tensorboard version dependency of file format converter
• build android target with dynamic link

release-note-core

• Add narrow function for NdArray

release-note-format-converter

• Add TopK support to ONNX importer
• Add GlobalMaxPool, RandomNormal, RandomUniform support to ONNX importer
• Fix issues in ONNX importer
• restore the CL-initializer in legacy_nnp_graph.py to graph_def.py

release-note-op-layer

• Error function (erf) implementation (CPU)

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.