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Support for ND-Dilated Convolutions #2843

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MannyKayy opened this issue Jun 9, 2017 · 4 comments
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Support for ND-Dilated Convolutions #2843

MannyKayy opened this issue Jun 9, 2017 · 4 comments
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cat:feature Implementation that introduces new interfaces.

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@MannyKayy
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Chainer seems to only support 2D dilated convolutions. It would be nice to have ND dilated convolutions. This would be handy for work in other domains such as text, audio and data of other modalities. Some frameworks have now included a dilation argument within the convolution layer (along with the traditional things such as padding, stride, etc..).

Refs:
Caffe Support
Keras Support
@niboshi niboshi added the cat:feature Implementation that introduces new interfaces. label Jun 22, 2017
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stale bot commented Oct 23, 2017

This issue has been automatically marked as stale because it has not had recent activity. It will be closed after 30 days if no further activity occurs. Thank you for your contributions.

@stale stale bot added stale Not updated for a longer period of time. and removed stale Not updated for a longer period of time. labels Oct 23, 2017
@beam2d beam2d added the contribution-welcome Contribution is welcomed. If a ticket has this label, anyone is welcomed to work on it. label Dec 11, 2017
@beam2d beam2d self-assigned this Dec 11, 2017
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stale bot commented Mar 11, 2018

This issue has been automatically marked as stale because it has not had recent activity. It will be closed after 30 days if no further activity occurs. Thank you for your contributions.

@stale stale bot added the stale Not updated for a longer period of time. label Mar 11, 2018
@kmaehashi kmaehashi assigned kmaehashi and unassigned beam2d Apr 9, 2018
@stale stale bot removed the stale Not updated for a longer period of time. label Apr 9, 2018
@kmaehashi
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PR ongoing: #4591

@kmaehashi kmaehashi mentioned this issue May 16, 2018
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@kmaehashi kmaehashi removed the contribution-welcome Contribution is welcomed. If a ticket has this label, anyone is welcomed to work on it. label May 31, 2018
@kmaehashi
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Implemented via #4591.

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