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Fix tensor.test_torch_instance_norm
While investigating the causes of the failure of this tests I came across a failure caused by data_type.default_float_dtpye
E During the handling of the above exception, another exception occurred:
E File "/ivy/ivy/utils/exceptions.py", line 210, in _handle_exceptions
E return fn(*args, **kwargs)
E File "/ivy/ivy/func_wrapper.py", line 971, in _handle_nestable
E return fn(*args, **kwargs)
E File "/ivy/ivy/func_wrapper.py", line 482, in _inputs_to_ivy_arrays
E return fn(*ivy_args, **ivy_kwargs)
E File "/ivy/ivy/functional/ivy/data_type.py", line 1122, in default_float_dtype
E return ivy.FloatDtype(ivy.as_ivy_dtype(ret))
E During the handling of the above exception, another exception occurred:
E local variable 'ret' referenced before assignment
E
E You can reproduce this example by temporarily adding @reproduce_failure('6.79.1', b'AXicY2JgZAAhEIBSYBoAAIEABw==') as a decorator on your test case
/ivy/ivy/utils/exceptions.py:246: IvyBackendException
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Thank you :hugs:
Hey @fabriziocacicia, haven't checked too deeply, but I'm guessing this draft PR isn't relevant anymore? Closing it for now but lmk if I'm wrong, and we can always open this back up 😄