"FakeQuantWithMinMaxVarsPerChannel",
      "FakeQuantWithMinMaxVarsPerChannelGradient",
      "Gather",
      "GatherNd",
      "GatherV2",
      "HSVToRGB",
      "IFFT",
      "IFFT2D",
      "IFFT3D",
      "IRFFT",
      "IRFFT2D",
      "IRFFT3D",
      "If",
      "InTopKV2",
      "L2Loss",
      "LeakyRelu",
      "LinSpace",
      "ListDiff",

    * Added `dtensor.get_default_mesh`, for retrieving the current default mesh under the dtensor context.
    * \*fft\* ops now support dtensors with any layout. Fixed bug in 'fft2d/fft3d', 'ifft2d/ifft3d', 'rfft2d/rfft3d', and 'irfft2d/irfft3d' for sharde input. Refer to this [blog post](https://blog.tensorflow.org/2023/08/distributed-fast-fourier-transform-in-tensorflow.html) for details.

*  `tf.experimental.strict_mode`

@compatibility(numpy)
Equivalent to np.fft.ifft
@end_compatibility}]>:$output
  );

  TF_DerivedOperandTypeAttr Tcomplex = TF_DerivedOperandTypeAttr<0>;
}

def TF_IFFT2DOp : TF_Op<"IFFT2D", [Pure]> {
  let summary = "Inverse 2D fast Fourier transform.";

  let description = [{
Computes the inverse 2-dimensional discrete Fourier transform over the
inner-most 2 dimensions of `input`.
  }];