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add embedding bag skeleton take 2 (#61126)
Summary: Pull Request resolved: https://github.com/pytorch/pytorch/pull/61126 adding skeleton implementations of quantized embedding tables with zeroes Test Plan: compilation, farm test, and ran test_find_dangling_impls and passed did a manual negative test and verified the message is printed properly ``` ====================================================================== FAIL: test_find_dangling_impls (test_dispatch.TestPythonDispatcher) ---------------------------------------------------------------------- Traceback (most recent call last): File "/data/users/hyz/fbsource/fbcode/buck-out/opt/gen/caffe2/test/others#binary,link-tree/test_dispatch.py", line 892, in test_find_dangling_impls self.assertEqual( File "/data/users/hyz/fbsource/fbcode/buck-out/opt/gen/caffe2/test/others#binary,link-tree/torch/testing/_internal/common_utils.py", line 1498, in assertEqual super().assertTrue(result, msg=self._get_assert_msg(msg, debug_msg=debug_msg)) AssertionError: False is not true : Scalars failed to compare as equal! 0 != 1 Expect zero dangling impls, but found: ['name: quantized::qembedding_bag_4bit_unpack\nschema: (none)\nCUDA: registered at caffe2/aten/src/ATen/native/quantized/cuda/embedding_bag.cu:394 :: (Tensor _0) -> (Tensor _0) [ boxed unboxed ]\n'] Reviewed By: walterddr Differential Revision: D29518274 fbshipit-source-id: d0cb81c8bf51cdc4b83038758131ccf61e4360f5
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@ -888,7 +888,12 @@ CompositeImplicitAutograd[alias] fn_CompositeImplicitAutograd
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# TODO(jwtan): Use a C++ extension, like msnpu, to introduce a dangling impl and examine the output.
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def test_find_dangling_impls(self):
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self.assertEqual(0, len(C._dispatch_find_dangling_impls()))
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dangling_impls = C._dispatch_find_dangling_impls()
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self.assertEqual(
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0,
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len(dangling_impls),
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msg=f"Expect zero dangling impls, but found: {dangling_impls}"
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)
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if __name__ == '__main__':
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run_tests()
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