e-strauss commented on code in PR #2119:
URL: https://github.com/apache/systemds/pull/2119#discussion_r1774719000
##########
src/main/python/systemds/operator/nodes/matrix.py:
##########
@@ -810,5 +809,36 @@ def quantile(self, p, weights: "Matrix" = None) ->
"OperationNode":
else:
raise ValueError("P has to be a Scalar or Matrix")
+ def fft(self) -> 'MultiReturn':
+ """
+ Performs the Fast Fourier Transform (FFT) on the matrix.
+ :return: A MultiReturn object representing the real and imaginary
parts of the FFT output.
+ """
+
+ real_output = Matrix(self.sds_context, '')
+ imag_output = Matrix(self.sds_context, '')
+
+ fft_node = MultiReturn(self.sds_context, 'fft', [real_output,
imag_output], [self])
+
+ return fft_node
+
+ def ifft(self, imag_input: 'Matrix' = None) -> 'MultiReturn':
+ """
+ Performs the Inverse Fast Fourier Transform (IFFT) on a complex matrix.
+
+ :param imag_input: The imaginary part of the input matrix (optional).
+ :return: A MultiReturn object representing the real and imaginary
parts of the IFFT output.
+ """
+
+ real_output = Matrix(self.sds_context, '')
+ imag_output = Matrix(self.sds_context, '')
+
+ if imag_input is None:
+ ifft_node = MultiReturn(self.sds_context, 'ifft', [real_output,
imag_output], [self])
+ else:
+ ifft_node = MultiReturn(self.sds_context, 'ifft', [real_output,
imag_output], [self, imag_input])
+
+ return ifft_node
+
Review Comment:
moved from systemds context because the there the outputs were set as
OperationNodes with OutputType Matrix to avoid a cyclic dependancy.
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