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stop dividing g_t with sig_t and commenting

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root 2020-01-18 00:33:51 +01:00 committed by erogol
parent 678d56cdef
commit bb1117ff32
1 changed files with 3 additions and 3 deletions
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6
layers/common_layers.py
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@ -132,8 +132,8 @@ class GravesAttention(nn.Module):
self.init_layers() self.init_layers()
def init_layers(self): def init_layers(self):
torch.nn.init.constant_(self.N_a[2].bias[(2*self.K):(3*self.K)], 1.) torch.nn.init.constant_(self.N_a[2].bias[(2*self.K):(3*self.K)], 1.) # bias mean
torch.nn.init.constant_(self.N_a[2].bias[self.K:(2*self.K)], 10) torch.nn.init.constant_(self.N_a[2].bias[self.K:(2*self.K)], 10) # bias std
def init_states(self, inputs): def init_states(self, inputs):
if self.J is None or inputs.shape[1]+1 > self.J.shape[-1]: if self.J is None or inputs.shape[1]+1 > self.J.shape[-1]:
@ -167,7 +167,7 @@ class GravesAttention(nn.Module):
sig_t = torch.nn.functional.softplus(b_t) + self.eps sig_t = torch.nn.functional.softplus(b_t) + self.eps
mu_t = self.mu_prev + torch.nn.functional.softplus(k_t) mu_t = self.mu_prev + torch.nn.functional.softplus(k_t)
g_t = torch.softmax(g_t, dim=-1) / sig_t + self.eps g_t = torch.softmax(g_t, dim=-1) + self.eps
j = self.J[:inputs.size(1)+1] j = self.J[:inputs.size(1)+1]