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Do not skip FFT tests
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test/xpu/skip_list_common.py

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@@ -635,25 +635,6 @@
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"test_python_ref_torch_fallback__refs_div_trunc_rounding_xpu_float64",
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# TODO: passed from source code building version, investigate
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"test_python_ref__refs_log2_xpu_complex128",
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# The following dtypes did not work in backward but are listed by the OpInfo: {torch.bfloat16}.
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"test_dtypes_fft_fft2_xpu",
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"test_dtypes_fft_fft_xpu",
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"test_dtypes_fft_fftn_xpu",
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"test_dtypes_fft_hfft2_xpu",
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"test_dtypes_fft_hfft_xpu",
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"test_dtypes_fft_hfftn_xpu",
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"test_dtypes_fft_ifft2_xpu",
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"test_dtypes_fft_ifft_xpu",
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"test_dtypes_fft_ifftn_xpu",
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"test_dtypes_fft_ihfft2_xpu",
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"test_dtypes_fft_ihfft_xpu",
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"test_dtypes_fft_ihfftn_xpu",
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"test_dtypes_fft_irfft2_xpu",
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"test_dtypes_fft_irfft_xpu",
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"test_dtypes_fft_irfftn_xpu",
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"test_dtypes_fft_rfft2_xpu",
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"test_dtypes_fft_rfft_xpu",
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"test_dtypes_fft_rfftn_xpu",
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),
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"test_binary_ufuncs_xpu.py": (
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"test_fmod_remainder_by_zero_integral_xpu_int64", # zero division is an undefined behavior: different handles on different backends

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