are there some errors in the code?

[MoWangDaRen]

def forward(self, x):

Compute FFT to get amplitude and phase

    fft_x = torch.fft.fft2(x)
    amp = torch.real(fft_x)
    pha = torch.imag(fft_x)

    # Apply Dynamic Amplitude Scaling and Phase Continuity
    amp_scaled = self.amplitude_scaling(amp)
    pha_continuous = self.phase_continuity(pha)

    # Processing with complex convolution
    complex_input = torch.complex(amp_scaled, pha_continuous)
    complex_processed = self.complex_conv(complex_input)

    # Separate processed amplitude and phase
    processed_amp = torch.real(complex_processed)
    processed_pha = torch.imag(complex_processed)

    # Process amplitude and phase with Mamba models
    processed_amp = self.model_amp(amp_scaled)
    processed_pha = self.model_pha(pha_continuous)

    # Combine processed amplitude and phase, and apply inverse FFT
    combined_fft = torch.complex(processed_amp, processed_pha)
    output = torch.fft.ifft2(combined_fft).real

    # Apply final smoothing convolution
    output = self.smooth(output)

    # Applying HDR processing after frequency modulation
    x = self.hdr_layer(x)
    return output

In # Process amplitude and phase with Mamba models , why _processed_amp = self.model_amp(ampscaled) but not _processed_amp = self.model_amp(processedamp)

[MoWangDaRen]

in exposemamba2d.py ,class FSSB