BatchNorm2D #61012
BatchNorm2D #61012
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💊 CI failures summary and remediationsAs of commit ed4443b (more details on the Dr. CI page and at hud.pytorch.org/pr/61012):
2 failures not recognized by patterns:
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| if n.op == 'call_module': | ||
| op_type = getattr(self.traced, str(n.target)) | ||
| if type(op_type) in _INFERENCE_RULES: | ||
| return _INFERENCE_RULES[type(op_type)](n, op_type) |
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We should document somewhere what the schema for inference rules should be since now it's not just the Node. For example, without reading this code, I don't know what the op_type argument is supposed to be. It seems like it's actually the module instance rather than the type?
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Yeah it's the module in this case. I'll rename it and add documentation.
Differential Revision: [D29562337](https://our.internmc.facebook.com/intern/diff/D29562337) [ghstack-poisoned]
Differential Revision: [D29562337](https://our.internmc.facebook.com/intern/diff/D29562337) [ghstack-poisoned]
Differential Revision: [D29562337](https://our.internmc.facebook.com/intern/diff/D29562337) [ghstack-poisoned]
Differential Revision: [D29562337](https://our.internmc.facebook.com/intern/diff/D29562337) [ghstack-poisoned]
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@migeed-z has imported this pull request. If you are a Facebook employee, you can view this diff on Phabricator. |
Stack from ghstack:
Differential Revision: D29562337