t-vi commented on a change in pull request #5787:
URL: https://github.com/apache/incubator-tvm/pull/5787#discussion_r439291179
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File path: tests/python/frontend/pytorch/test_forward.py
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@@ -836,6 +836,20 @@ def forward(self, *args):
input_data = torch.rand(input_shape).float()
verify_model(Size1().float().eval(), input_data=input_data)
+
+def test_type_as():
+ torch.set_grad_enabled(False)
+ input_shape = [1, 3]
+
+ class TypeAsInt32(Module):
+ def forward(self, *args):
+ int32_tensor = torch.zeros(1, 3, dtype=torch.int32)
+ return args[0].type_as(int32_tensor)
Review comment:
Great stuff!
I would suggest to test more dtypes.
(One of my main goals with #5779 is to be able to use input_types safely,
and I hit troubles with it before.)
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