I am getting this error while running a downloaded program which i am using for my understanding. Input values are in the form of complex number but i am not be able to initialize the weights for convolutional autoencoder in complex number form. so i am getting this error anyone please help me how to initialize weights in complex number form.
Error message:
‘’‘Input type (CUDAComplexDoubleType) and weight type (torch.cuda.FloatTensor) should be the same’’’
You could try to convert all parameters to complex128 via model.to(torch.complex128).
Note however, that this feature is experimental and not all operations might be supported at this moment.
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Thankyou for the reply @ptrblck but it’s not working. Applying model.to(torch.complex128) i am getting an error " nn.Module.to only accepts floating point dtypes, but got desired dtype=torch.complex128". Is there any other way for converting weights float to complex128.?