Use TensorList in group_index_select_dim0 #1884
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This pull request was exported from Phabricator. Differential Revision: D47488358 |
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Summary: Pull Request resolved: pytorch#1884 Replace variadic template in `group_index_select_dim0` by packing all tensors into `TensorList` and passing the `TensorList` to autograd function. Return output needs to be tensors of the same size as input specified in the forward functions and can be returned as type of variable_list. This improves performance and lifts limitations of using variadic template that needs to be instantiated for each group size and limits max group size of 55. Reviewed By: sryap Differential Revision: D47488358 fbshipit-source-id: 7747896396e9acf3021bdabb9a054b6feb6c9038
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Summary: Pull Request resolved: pytorch#1884 Replace variadic template in `group_index_select_dim0` by packing all tensors into `TensorList` and passing the `TensorList` to autograd function. Return output needs to be tensors of the same size as input specified in the forward functions and can be returned as type of variable_list. This improves performance and lifts limitations of using variadic template that needs to be instantiated for each group size and limits max group size of 55. Reviewed By: sryap Differential Revision: D47488358 fbshipit-source-id: abf753560e462f19c7eebcb4ae7d7b47dcf700a2
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Summary: Pull Request resolved: pytorch#1884 Replace variadic template in `group_index_select_dim0` by packing all tensors into `TensorList` and passing the `TensorList` to autograd function. Return output needs to be tensors of the same size as input specified in the forward functions and can be returned as type of variable_list. This improves performance and lifts limitations of using variadic template that needs to be instantiated for each group size and limits max group size of 55. Reviewed By: sryap Differential Revision: D47488358 fbshipit-source-id: 898f1d1a4ceb7183fc0ea00d78aa2983b10d0392
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Summary: Pull Request resolved: pytorch#1884 Replace variadic template in `group_index_select_dim0` by packing all tensors into `TensorList` and passing the `TensorList` to autograd function. Return output needs to be tensors of the same size as input specified in the forward functions and can be returned as type of variable_list. This improves performance and lifts limitations of using variadic template that needs to be instantiated for each group size and limits max group size of 55. Reviewed By: sryap Differential Revision: D47488358 fbshipit-source-id: 73e0b7e86c1981d9e73e87fc012c2f3b6c35efa8
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Summary: Pull Request resolved: pytorch#1884 Replace variadic template in `group_index_select_dim0` by packing all tensors into `TensorList` and passing the `TensorList` to autograd function. Return output needs to be tensors of the same size as input specified in the forward functions and can be returned as type of variable_list. This improves performance and lifts limitations of using variadic template that needs to be instantiated for each group size and limits max group size of 55. Reviewed By: sryap Differential Revision: D47488358 fbshipit-source-id: 574b6d4418069fb9e6b17d28484cf8796185a63b
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Summary:
Replace variadic template in
group_index_select_dim0by packing alltensors into
TensorListand passing theTensorListto autogradfunction. Return output needs to be tensors of the same size as
input specified in the forward functions and can be returned as
type of variable_list. This improves performance and lifts
limitations of using variadic template that needs to be instantiated
for each group size and limits max group size of 55.
Reviewed By: sryap
Differential Revision: D47488358