def __init__(self, inputSize, outputSize):
super(Euclidean, self).__init__()
self.weight = torch.Tensor(inputSize, outputSize)
self.gradWeight = torch.Tensor(inputSize, outputSize)
# state
self.gradInput.resize_(inputSize)
self.output.resize_(outputSize)
self.fastBackward = True
self.reset()
self._input = None
self._weight = None
self._expand = None
self._expand2 = None
self._repeat = None
self._repeat2 = None
self._div = None
self._output = None
self._gradOutput = None
self._expand3 = None
self._sum = None
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