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Dynamic ResNet #2474
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Dynamic ResNet #2474
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/2474
Note: Links to docs will display an error until the docs builds have been completed. ❌ 1 New Failure, 2 Unrelated FailuresAs of commit 065cea5 with merge base ce344bc ( NEW FAILURE - The following job has failed:
BROKEN TRUNK - The following jobs failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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This pull request was exported from Phabricator. Differential Revision: D54972682 |
Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai Differential Revision: D54972682
This pull request was exported from Phabricator. Differential Revision: D54972682 |
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This pull request was exported from Phabricator. Differential Revision: D54972682 |
Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai Differential Revision: D54972682
Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai Differential Revision: D54972682
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This pull request was exported from Phabricator. Differential Revision: D54972682 |
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This pull request was exported from Phabricator. Differential Revision: D54972682 |
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Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai Differential Revision: D54972682
This pull request was exported from Phabricator. Differential Revision: D54972682 |
Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai, kirklandsign Differential Revision: D54972682
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Differential Revision: D54650121
Differential Revision: D54665767
Differential Revision: D54666427
Differential Revision: D54972684
Summary: Pull Request resolved: pytorch#2474 Test for dynamic resnet. ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape Reviewed By: digantdesai, kirklandsign Differential Revision: D54972682
This pull request was exported from Phabricator. Differential Revision: D54972682 |
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This pull request has been merged in 33f41bd. |
Summary:
Test for dynamic resnet.
ResNet has some restrictions on the input shape, so we create a dynamic version by bilinear resizing the input to resnet's fixed shape. Thus we test that dynamic bilinear resize correctly resizes to fixed shape
Differential Revision: D54972682