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Merge pull request #411 from corochann/v0.7.0
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update version to 0.7.0
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mottodora authored Dec 9, 2019
2 parents ff990f7 + 45caa6b commit 56e83de
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2 changes: 1 addition & 1 deletion .travis.yml
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Expand Up @@ -7,7 +7,7 @@ python:
- 3.6
env:
env:
- CHAINER_VERSION="chainer<7"
- CHAINER_VERSION="chainer==7.0.0"
- CHAINER_VERSION="chainer"
- CHAINER_VERSION="prerelease"

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13 changes: 9 additions & 4 deletions README.md
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Expand Up @@ -45,8 +45,8 @@ currently supported:
| v0.4.0 | v3.0 ~ v4.0 *1 | 2017.09.3.0 | 2.7, 3.5, 3.6 |
| v0.5.0 | v3.0 ~ v5.0 *2 | 2017.09.3.0 | 2.7, 3.5, 3.6 |
| v0.6.0 | v6.0 ~ *3 | 2017.09.3.0 | 2.7, 3.5, 3.6 |
| master branch | v6.0 ~ *3 | 2019.03.2.0 | 3.6, 3.7 |
| v0.7.0 release plan | v7.0 ~ | 2019.03.2.0 | 3.6, 3.7 *4 |
| v0.7.0 | v7.0 ~ | 2019.03.2.0 | 3.6, 3.7 *4 |
| master branch *5 | v7.0 ~ | 2019.03.2.0 | 3.6, 3.7 |


[Footnote]
Expand All @@ -57,10 +57,13 @@ which is introduced after chainer v3. See [this issue](https://github.com/pfnet-
*2: Saliency modules only work after chainer v5.

*3: Chainer v6 is released and [ChainerX](https://chainer.org/announcement/2018/12/03/chainerx.html) is newly introduced.
In order to support this new feature & API, we are going to break backward compatibility for chainer chemistry v0.6.0 release.
In order to support this new feature & API, we broke backward compatibility for chainer chemistry v0.6.0 release.
See [ChainerX Documentation](https://chainer.org/announcement/2018/12/03/chainerx.html) for details.

*4: We are going to drop python 2.x support in the near future.
*4: python 2.x support is dropped, following the same policy with `chainer` and `rdkit`.

*5: As [announced in chainer blog](https://chainer.org/announcement/2019/12/05/released-v7.html),
further development will be limited to only serious bug-fixes and maintenance.

## Installation

Expand Down Expand Up @@ -145,6 +148,8 @@ pull request and add the name of your project to this list:

- BayesGrad: Explaining Predictions of Graph Convolutional Networks ([paper](https://arxiv.org/abs/1807.01985), [code](https://github.com/pfnet-research/bayesgrad))
- Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks ([paper](https://arxiv.org/abs/1902.01020), [code](https://github.com/k-ishiguro/chainer-chemistry/tree/gwm_for_CC))
- GraphNVP: An Invertible Flow Model for Generating Molecular Graphs ([paper](https://arxiv.org/abs/1905.11600), [code](https://github.com/pfnet-research/graph-nvp))
- Graph Residual Flow for Molecular Graph Generation ([paper](https://arxiv.org/abs/1909.13521))

## Useful Links

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2 changes: 1 addition & 1 deletion chainer_chemistry/_version.py
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@@ -1 +1 @@
__version__ = '0.6.0'
__version__ = '0.7.0'
2 changes: 1 addition & 1 deletion setup.py
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Expand Up @@ -5,7 +5,7 @@

setup_requires = []
install_requires = [
'chainer >=6.0.0',
'chainer >=7.0.0',
'joblib',
'matplotlib',
'pandas',
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