support jagged tensor with no inner dense dim #1267
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This pull request was exported from Phabricator. Differential Revision: D39121072 |
Summary: Pull Request resolved: pytorch#1267 jagged_to_padded_dense supports jagged tensor with inner dense dim is 1 and folded like the following example, but producing the error ``x_offsets.size(), 1 != num_jagged_dim, 0`` in backward. x_values = [5, 3, 7, 1] x_offsets = [0, 1, 4] max_length = 3 -> x_padded = [[5, 0, 0], [3, 7, 1]] Reviewed By: devashisht Differential Revision: D39121072 fbshipit-source-id: 02828952851f3382e2281102fba64261bca20882
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This pull request was exported from Phabricator. Differential Revision: D39121072 |
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This pull request has been merged in 32b6a12. |
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Summary:
jagged_to_padded_dense supports jagged tensor with inner dense dim is 1 and folded like the following example, but producing the error
x_offsets.size(), 1 != num_jagged_dim, 0in backward.x_values = [5, 3, 7, 1]
x_offsets = [0, 1, 4]
max_length = 3
->
x_padded = [[5, 0, 0], [3, 7, 1]]
Differential Revision: D39121072