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high prioritymodule: complexRelated to complex number support in PyTorchRelated to complex number support in PyTorchmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)module: numpyRelated to numpy support, and also numpy compatibility of our operatorsRelated to numpy support, and also numpy compatibility of our operatorstriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module
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t = torch.tensor(0.-1.0000e+20j)
torch.acos(t)
: tensor(nan+infj)
Expected (1.5708, 46.7448).
cc @ezyang @gchanan @zou3519 @anjali411 @dylanbespalko @VitalyFedyunin @mruberry @rgommers
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high prioritymodule: complexRelated to complex number support in PyTorchRelated to complex number support in PyTorchmodule: correctness (silent)issue that returns an incorrect result silentlyissue that returns an incorrect result silentlymodule: cpuCPU specific problem (e.g., perf, algorithm)CPU specific problem (e.g., perf, algorithm)module: numpyRelated to numpy support, and also numpy compatibility of our operatorsRelated to numpy support, and also numpy compatibility of our operatorstriagedThis issue has been looked at a team member, and triaged and prioritized into an appropriate moduleThis issue has been looked at a team member, and triaged and prioritized into an appropriate module