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import torch
class _FunctionCorrelation(torch.autograd.Function):
@staticmethod
def forward(self, first, second):
raise NotImplementedError()
def FunctionCorrelation(tenFirst, tenSecond):
raise NotImplementedError()
return _FunctionCorrelation.apply(tenFirst, tenSecond)
class ModuleCorrelation(torch.nn.Module):
def __init__(self):
raise NotImplementedError()
super(ModuleCorrelation, self).__init__() |