sony / nnabla

release-note-bugfix

• Fix norm api level and function id
• Fix issue that BatchMatmul adds new features to cause the converter t…
• Use the new h5py v3 data access method.
• Add missing format character in function parameter check.
• Fix the docs related to the output maps

release-note-build

• Change libarchive location
• Improve building dockerfiles
• Limit onnx version to 1.6.0
• Build with chocolatey environment.

release-note-doc

• update cuda cudnn table
• correct nnabla-ext-cuda package name in installation
• update converter pkg name
• fix document error for to_dlpack

release-note-format-converter

• Fix missing parameters from nnp to nnb.
• update dockerfile to install nnabla_tf_converter
• Enabla GRU for c-runtime.
• Feature/20200921 separate tf converter from nnabla
• fix error when no .protobuf file and parameter [] operator.

release-note-op-layer

• Norm and NormNormalization
• Add Adabelief solver proposed by Juntang Zhuang
• Add ScatterAdd Function
• Inplace for unary/binary arithmetic functions

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.

release-note-bugfix

• Add test case for index of sorting equal values.
• Fix the CUDA transpose operation for large N-dimensional inputs.

release-note-build

• correct gnumakefile link library name

release-note-core

• fix forward_all to keep values of all given variables

release-note-doc

• Fix Equation Errors in Doc
• Update nnabla convert doc at 20200930
• Various Enhancements for Doc
• Add NNabla NAS to README

release-note-format-converter

• Add QuantizeLinear/DequantizeLinear support for onnx Importer.

release-note-op-layer

• Add RMSpropGraves
• Memory Optimization

release-note-utility

• Graph Converter Enhancement

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.

release-note-doc

• Update nnabla convert doc at 20200807

release-note-format-converter

• Fix FusedBatchNormalization for ONNX Exporter.
• Rename variable for repeat node.
• Fill input roi of ONNX Resize.

release-note-utility

• fix several problems might cause crash or system resource use out.

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.

release-note-bugfix

• Temporarily skip new_group test.
• Fix code typo
• Check shape length before checking first element in NnpLoader
• Fix the gradient operation of ScatterNd when inplaced with output variable.

release-note-build

• Update docker files

release-note-doc

• update cuda cudnn tabel, update openmpi installation tutorial
• Improve NNabla converter doc.
• Specify the converter related packages version in the doc.

release-note-op-layer

• Add Mish Activation
• Disable gradient inplace and its check

release-note-utility

• feat: determine slow gpu in multinode training
• feat: use multiprocess to create cache and add the test file of create_cache
• Fix normalization with 16bit integer data in image reader of data source
• enable .h5 parameter saving.
• cpu gpu load measure config separately
• Redesign the current graph converter

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.

release-note-bugfix

• Fix Gelu Backward
• Make scatter_nd work in static graph mode.
• Fix CPU version of RNN/GRU/LSTM

release-note-build

• pass keyword argument to pytest.fixture to fix PytestDeprecationWarning

release-note-doc

• Add licenses and Notice
• add a diagram for nnb file format
• Fix Documentation Errors

release-note-format-converter

• Fix conflicts between nodes with same output name.
• Fix Deconvolution for ONNX Exporter.
• change naming rule for repeat node
• Fix DequantizeLinear for TensorRT

release-note-op-layer

• SpatialTransformer
• Double Backward Enhancement

release-note-utility

• Add DLPack interface to share a tensor on host or device among frameworks and libraries without copy
• nnp refactor, enable module-style network definition
• add infer API and param data type option

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.

release-note-break-compat

• Change align_corners to False as default and add warning notes

release-note-bugfix

• Add **kw args to ref_dequantize_linear and ref_grad_dequantize_linear.
• Add FusedConvolution interface and some enhancements & fixes
• Fix log double backward

release-note-build

• Change default build environment from CentOS6 to CentOS7
• update devtoolset package version. update url of yum repository

release-note-doc

• Manual translation
• Correct the warp_by_flow documentation
• Add MNIST Tutorials
• Feature/20200529 fix documents
• Update nnabla convert doc at 20200521
• Add DCGAN Tutorial

release-note-format-converter

• Fix PReLU for ONNX Exporter.
• add support for convert nnabla to tflite
• Support deconv's output_padding for ONNX Exporter.
• Fix Broadcast for ONNX Exporter.

release-note-op-layer

• Quantize/DequantizeLinear
• Add deconvolution output padding option.
• Interpolation with half_pixel and half_pixel_for_nn

release-note-utility

• feat: save optimizer checkpoint in .h5 format
• Change cuDNN algorithm selection method to improve inference performance
• Add AdamW, Lars and SgdW to load.py
• feat: relocate cg_load info from log to progress.txt and status.json,…
• feat: save optimizer states every epoch
• Fix Unpooling for SNPE
• fix nnp to nnp problem with h5
• using sliced data set for monitor, instead of full data set for multi…
• Fix bug when reading h5 file in NNP
• Get device-id from local_rank
• remove thread-based watchdog for allreduce
• feat: measure cpu/gpu load & write to status.json when psutil, pynvml…

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.

release-note-bugfix

• cancel gdcm installation for python3.8
• change data type of size from int to int64 to fix overflow.
• Emit error message for an invalid parameter file.

release-note-build

• Fix dockerfile for armhf

release-note-core

• Resolve some compiler warnings

release-note-doc

• Add CIFAR10 Tutorial
• Fix NNabla Tutorials
• Update NNabla Converter Support Status Doc.

release-note-format-converter

• Fix pooling family funcs.
• Add fused batch normalization for onnx exporter

release-note-op-layer

• Add random sampling functions.
• Unpooling with Channel Last

release-note-utility

• Fix image_utils failed to use another backend.
• Refactor image utils
• Add accumulation flag to GraphProfiler
• Change multi_head_attention API
• feat: support loading audio files through csv file
• Fix file like object save load
• Add NanInfTracer

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.