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Call .wait_tensor() in compiled region for dist.Work created in eager region #2485
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This pull request was exported from Phabricator. Differential Revision: D64275115 |
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… region (meta-pytorch#2485) Summary: In compiled region, instead of calling `dist.Work.wait()`, we will call `torch.ops._c10d_functional.wait_tensor()` on the dist.Work's output tensor. This way, we can capture the `wait_tensor()` op within the torch.compile graph (instead of graph-breaking on `dist.Work.wait()`), and the tensor will be waited on properly within the graph. This diff also depends on pytorch/pytorch#137763 to function properly. Reviewed By: Microve Differential Revision: D64275115
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This pull request was exported from Phabricator. Differential Revision: D64275115 |
Microve
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Oct 26, 2024
… region (meta-pytorch#2485) Summary: In compiled region, instead of calling `dist.Work.wait()`, we will call `torch.ops._c10d_functional.wait_tensor()` on the dist.Work's output tensor. This way, we can capture the `wait_tensor()` op within the torch.compile graph (instead of graph-breaking on `dist.Work.wait()`), and the tensor will be waited on properly within the graph. This diff also depends on pytorch/pytorch#137763 to function properly. Reviewed By: Microve Differential Revision: D64275115
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This pull request was exported from Phabricator. Differential Revision: D64275115 |
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Microve
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Nov 1, 2024
… region (meta-pytorch#2485) Summary: In compiled region, instead of calling `dist.Work.wait()`, we will call `torch.ops._c10d_functional.wait_tensor()` on the dist.Work's output tensor. This way, we can capture the `wait_tensor()` op within the torch.compile graph (instead of graph-breaking on `dist.Work.wait()`), and the tensor will be waited on properly within the graph. This diff also depends on pytorch/pytorch#137763 to function properly. Reviewed By: Microve Differential Revision: D64275115
Contributor
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This pull request was exported from Phabricator. Differential Revision: D64275115 |
… region (meta-pytorch#2485) Summary: In compiled region, instead of calling `dist.Work.wait()`, we will call `torch.ops._c10d_functional.wait_tensor()` on the dist.Work's output tensor. This way, we can capture the `wait_tensor()` op within the torch.compile graph (instead of graph-breaking on `dist.Work.wait()`), and the tensor will be waited on properly within the graph. This diff also depends on pytorch/pytorch#137763 to function properly. Reviewed By: Microve Differential Revision: D64275115
31c90e3 to
fed098a
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Contributor
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This pull request was exported from Phabricator. Differential Revision: D64275115 |
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Summary:
In compiled region, instead of calling
dist.Work.wait(), we will calltorch.ops._c10d_functional.wait_tensor()on the dist.Work's output tensor. This way, we can capture thewait_tensor()op within the torch.compile graph (instead of graph-breaking ondist.Work.wait()), and the tensor will be waited on properly within the graph.This diff also depends on pytorch/pytorch#137763 to function properly.
Differential Revision: D64275115