[AUTOGENERATED] [release/2.7] [release/2.6] Fix dtype before comparing torch and numpy tensors#2362
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pruthvistony merged 1 commit intorelease/2.7from Jul 15, 2025
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Cast numpy dtype result to torch dtype result before compare Numpy returns `np.power(float32, int64) => float64` [Promotion rules for Python scalars](https://numpy.org/neps/nep-0050-scalar-promotion.html) Pytorch returns `torch.pow(float32, int64) => float32` Reverts #2287 and fixes tests in a different way Fixes: - SWDEV-538110 - `'dtype' do not match: torch.float32 != torch.float64` > - test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_cuda_tensor_pow_scalar_tensor_cuda - SWDEV-539171 - `AttributeError: 'float' object has no attribute 'dtype` > - test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_long_tensor_pow_floats_cuda > - test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_complex_scalar_pow_tensor_cuda_* > - test_binary_ufuncs.py::TestBinaryUfuncsCUDA::test_float_scalar_pow_float_tensor_cuda_*
ethanwee1
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pruthvistony
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Cherry-pick of #2340