Add group_index_select_dim0 #1421
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Summary: `group_index_select_dim0` does `index_select_dim0` for each group of inputs in a single kernel. The operator takes a list of inputs and a list of indices and returns a list of outputs. There are some limitations to group_index_select_dim0: - All inputs must have the same shape. - All indices must have the same shape. - Because we use variadic template for the autograd function, it supports up to 55 groups. Differential Revision: D40683435 fbshipit-source-id: 5c4e6adced3fad43206f91b1a9131774d6ed71f5
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This pull request was exported from Phabricator. Differential Revision: D40683435 |
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Summary: Pull Request resolved: pytorch#1421 `group_index_select_dim0` does `index_select_dim0` for each group of inputs in a single kernel. The operator takes a list of inputs and a list of indices and returns a list of outputs. There are some limitations to group_index_select_dim0: - All inputs must have the same shape. - All indices must have the same shape. - Because we use variadic template for the autograd function, it supports up to 55 groups. Differential Revision: D40683435 fbshipit-source-id: bcc52c0b1ae4f9270901bbd45d85d45c89051eb6
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Summary:
group_index_select_dim0doesindex_select_dim0for each group ofinputs in a single kernel. The operator takes a list of inputs and a
list of indices and returns a list of outputs.
There are some limitations to group_index_select_dim0:
supports up to 55 groups.
Differential Revision: D40683435