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@TomonobuTsujikawa TomonobuTsujikawa released this Dec 23, 2020 · 148 commits to master since this release

release-note-bugfix

release-note-doc

release-note-format-converter

release-note-op-layer

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 8.0)
  • nnabla-ext-cuda110 (CUDA 11.0 x cuDNN 8.0)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 8.0 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6
  • nnabla-ext-cuda110-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda110-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100 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-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

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

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.

Assets 2

@TomonobuTsujikawa TomonobuTsujikawa released this Dec 10, 2020 · 191 commits to master since this release

release-note-bugfix

release-note-build

release-note-doc

release-note-format-converter

release-note-op-layer

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 8.0)
  • nnabla-ext-cuda110 (CUDA 11.0 x cuDNN 8.0)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 8.0 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6
  • nnabla-ext-cuda110-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda110-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100 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-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

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

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.

Assets 2

@TomonobuTsujikawa TomonobuTsujikawa released this Nov 4, 2020 · 248 commits to master since this release

release-note-bugfix

release-note-build

release-note-core

release-note-doc

release-note-format-converter

release-note-op-layer

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 7.6)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 7.6 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda90-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda90-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda90-nccl2-mpi3-1-6
  • nnabla-ext-cuda100-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100, nnabla-ext-cuda90 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-cuda91
  • nnabla-ext-cuda92
  • 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

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

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.

Assets 2

@YukioOobuchi YukioOobuchi released this Oct 8, 2020 · 289 commits to master since this release

release-note-doc

release-note-format-converter

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 7.6)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 7.6 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda90-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda90-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda90-nccl2-mpi3-1-6
  • nnabla-ext-cuda100-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100, nnabla-ext-cuda90 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-cuda91
  • nnabla-ext-cuda92
  • 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

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

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.

Assets 2

@YukioOobuchi YukioOobuchi released this Sep 18, 2020 · 301 commits to master since this release

release-note-bugfix

release-note-build

release-note-doc

release-note-op-layer

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 7.6)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 7.6 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda90-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda90-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda90-nccl2-mpi3-1-6
  • nnabla-ext-cuda100-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100, nnabla-ext-cuda90 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-cuda91
  • nnabla-ext-cuda92
  • 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

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

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.

Assets 2
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@YukioOobuchi YukioOobuchi released this Aug 5, 2020 · 353 commits to master since this release

release-note-bugfix

release-note-build

release-note-doc

release-note-format-converter

release-note-op-layer

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 7.6)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 7.6 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda90-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda90-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda90-nccl2-mpi3-1-6
  • nnabla-ext-cuda100-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100, nnabla-ext-cuda90 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-cuda91
  • nnabla-ext-cuda92
  • 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

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

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.

Assets 2
Jun 29, 2020
Build japanese document

@YukioOobuchi YukioOobuchi released this Jun 29, 2020 · 412 commits to master since this release

release-note-break-compat

release-note-bugfix

release-note-build

release-note-doc

release-note-format-converter

release-note-op-layer

release-note-utility

Install the latest nnabla by:

pip install nnabla
pip install nnabla-ext-cuda102 # For CUDA version 10.2 users

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

  • nnabla-ext-cuda90 (CUDA 9.0 x cuDNN 7.6)
  • nnabla-ext-cuda100 (CUDA 10.0 x cuDNN 7.6)
  • nnabla-ext-cuda102 (CUDA 10.2 x cuDNN 7.6)
pip install nnabla
pip install nnabla_ext_cuda102  # For CUDA 10.2 x cuDNN 7.6 users

For distributed training, You need to install the correct package that
matches the version of MPI installed on your system.

We prepared following packages.

  • nnabla-ext-cuda90-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda90-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda90-nccl2-mpi3-1-6
  • nnabla-ext-cuda100-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda100-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda100-nccl2-mpi3-1-6
  • nnabla-ext-cuda102-nccl2-mpi1-10-2 (Ubuntu16.04 default)
  • nnabla-ext-cuda102-nccl2-mpi2-1-1 (Ubuntu18.04 default)
  • nnabla-ext-cuda102-nccl2-mpi3-1-6

If you want to use a version of MPI not listed above, you need to build it from the source.

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-cuda102, nnabla-ext-cuda100, nnabla-ext-cuda90 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-cuda91
  • nnabla-ext-cuda92
  • 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

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

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.

Assets 2
Jun 25, 2020
Update version number for release v1.9.0

@YukioOobuchi YukioOobuchi released this May 20, 2020 · 500 commits to master since this release

release-note-bugfix

release-note-build

release-note-core

release-note-doc

release-note-format-converter

release-note-op-layer

release-note-utility

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-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.

Python 2 is no longer be supported from v1.5.0.

Assets 2