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[qunat][pt2e] Support allow_implicit_sharing flag #112929
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Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/112929
Note: Links to docs will display an error until the docs builds have been completed. ✅ You can merge normally! (1 Unrelated Failure)As of commit dc08f81 with merge base c608b0e ( BROKEN TRUNK - The following job failed but were present on the merge base:👉 Rebase onto the `viable/strict` branch to avoid these failures
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Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: ghstack-source-id: 3a65f5f Pull Request resolved: #112929
Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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Left some comments. looks good.
Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: [ghstack-poisoned]
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@pytorchbot merge |
Merge startedYour change will be merged once all checks pass (ETA 0-4 Hours). Learn more about merging in the wiki. Questions? Feedback? Please reach out to the PyTorch DevX Team |
Summary: For a Node: node1 and edge: (node1, node2), since they are observing the same Tensor, we may want to implicitly share observers, this flag allows people to turn off this behavior for the output of the node See the test_allow_implicit_sharing test for use case Test Plan: python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing Reviewers: Subscribers: Tasks: Tags: Pull Request resolved: pytorch#112929 Approved by: https://github.com/kimishpatel
Stack from ghstack (oldest at bottom):
Summary:
For a Node: node1 and edge: (node1, node2), since they are observing the same
Tensor, we may want to implicitly share observers, this flag allows people to
turn off this behavior for the output of the node
See the test_allow_implicit_sharing test for use case
Test Plan:
python test/test_quantization.py TestQuantizePT2E.test_allow_implicit_sharing
Reviewers:
Subscribers:
Tasks:
Tags: