deepspeech.pytorch
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SequenceWise Operation
Hi there,
Could please someone provide an explanation for the necessity of the SequenceWise
operation?
Additionally, if possible, could explain how this operation is similar to TimeDistributed
layer from Keras, as discussed in this thread?
class SequenceWise(nn.Module):
def __init__(self, module):
"""
Collapses input of dim T*N*H to (T*N)*H, and applies to a module.
Allows handling of variable sequence lengths and minibatch sizes.
:param module: Module to apply input to.
"""
super(SequenceWise, self).__init__()
self.module = module
def forward(self, x):
t, n = x.size(0), x.size(1)
x = x.view(t * n, -1)
x = self.module(x)
x = x.view(t, n, -1)
return x
def __repr__(self):
tmpstr = self.__class__.__name__ + ' (\n'
tmpstr += self.module.__repr__()
tmpstr += ')'
return tmpstr