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Bug Fix #19

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Bug Fix #19

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4 changes: 2 additions & 2 deletions torch_cfc.py
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Original file line number Diff line number Diff line change
Expand Up @@ -145,7 +145,6 @@ def forward(self, input, hx, ts):
return new_hidden



class Cfc(nn.Module):
def __init__(
self,
Expand Down Expand Up @@ -189,6 +188,8 @@ def forward(self, x, timespans=None, mask=None):
time_since_update = torch.zeros(
(batch_size, true_in_features), device=device
)
if timespans is None:
timespans = torch.ones(x.size(0), x.size(1), device=x.device)
for t in range(seq_len):
inputs = x[:, t]
ts = timespans[:, t].squeeze()
Expand Down Expand Up @@ -351,7 +352,6 @@ def _allocate_parameters(self):
init_value=torch.zeros((self.sensory_size,)),
)


def _sigmoid(self, v_pre, mu, sigma):
v_pre = torch.unsqueeze(v_pre, -1) # For broadcasting
mues = v_pre - mu
Expand Down