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Update forced_align method to only support batch Tensors #3365
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/audio/3365
Note: Links to docs will display an error until the docs builds have been completed. ❌ 6 New FailuresAs of commit badb8d3: NEW FAILURES - The following jobs have failed:
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This pull request was exported from Phabricator. Differential Revision: D46126226 |
Summary: Pull Request resolved: pytorch#3365 Current design of forced_align accept 2D Tensor for `log_probs` and 1D Tensor for `targets`. To make the API simple, the PR make changes to only support batch Tensors (3D Tensor for `log_probs` and 2D Tensor for `targets`). Differential Revision: D46126226 fbshipit-source-id: ab53e22b3681d1c1947c632a2df1c99c86f0d0fe
This pull request was exported from Phabricator. Differential Revision: D46126226 |
Summary: Pull Request resolved: pytorch#3365 Current design of forced_align accept 2D Tensor for `log_probs` and 1D Tensor for `targets`. To make the API simple, the PR make changes to only support batch Tensors (3D Tensor for `log_probs` and 2D Tensor for `targets`). Differential Revision: D46126226 fbshipit-source-id: 51a214252dc91ecee1f82c49f1c4c2861206aad1
This pull request was exported from Phabricator. Differential Revision: D46126226 |
Summary: Pull Request resolved: pytorch#3365 Current design of forced_align accept 2D Tensor for `log_probs` and 1D Tensor for `targets`. To make the API simple, the PR make changes to only support batch Tensors (3D Tensor for `log_probs` and 2D Tensor for `targets`). Reviewed By: vineelpratap Differential Revision: D46126226 fbshipit-source-id: 2afea56dea853e5c0829ea7f654a57efd55c1712
This pull request was exported from Phabricator. Differential Revision: D46126226 |
Summary: Pull Request resolved: pytorch#3365 Current design of forced_align accept 2D Tensor for `log_probs` and 1D Tensor for `targets`. To make the API simple, the PR make changes to only support batch Tensors (3D Tensor for `log_probs` and 2D Tensor for `targets`). Reviewed By: vineelpratap Differential Revision: D46126226 fbshipit-source-id: 2380ed14090909a3cbf1f987363ac01173c24782
This pull request was exported from Phabricator. Differential Revision: D46126226 |
This pull request has been merged in 5f17d81. |
Hey @None. Some guidance:Use 'module: ops' for operations under 'torchaudio/{transforms, functional}', and ML-related components under 'torchaudio/csrc' (e.g. RNN-T loss). Things in "examples" directory:
Please use 'other' tag only when you’re sure the changes are not much relevant to users, or when all other tags are not applicable. Try not to use it often, in order to minimize efforts required when we prepare release notes. When preparing release notes, please make sure 'documentation' and 'tutorials' occur as the last sub-categories under each primary category like 'new feature', 'improvements' or 'prototype'. Things related to build are by default excluded from the release note, except when it impacts users. For example: |
This pull request has been reverted by bbc13b9. |
Summary: Current design of forced_align accepts 2D Tensor for
log_probs
and 1D Tensor fortargets
. To make the API simple, the PR make changes to only support batch Tensors (3D Tensor forlog_probs
and 2D Tensor fortargets
).Differential Revision: D46126226