mindscience.sciops.fft.asd_fft

mindscience.sciops.fft.asd_fft(*args, **kwargs)[source]

1D complex-to-complex forward FFT transform using Ascend NPU acceleration.

This function performs 1D Fast Fourier Transform on complex input tensors, optimized for Ascend NPU hardware acceleration.

Parameters

  • *args –

    Variable length argument list. Typically includes:

    • xr (Tensor): Real part of input complex tensor with data type float32.

    • xi (Tensor): Imaginary part of input complex tensor with data type float32.

  • **kwargs – Arbitrary keyword arguments.

Returns

Tuple[Tensor, Tensor]. A tuple containing,

  • yr (Tensor). Real part of output complex tensor with data type float32.

  • yi (Tensor). Imaginary part of output complex tensor with data type float32.

Raises

ValueError – If input tensor data type is not float32.

Examples

>>> import mindspore as ms
>>> from mindscience.sciops.fft import asd_fft
>>> xr = ms.Tensor([[1.0, 2.0, 3.0, 4.0]], ms.float32)
>>> xi = ms.Tensor([[0.0, 0.0, 0.0, 0.0]], ms.float32)
>>> yr, yi = asd_fft(xr, xi)
>>> print(yr.shape)
(1, 4)
>>> print(yi.shape)
(1, 4)