use memory queue if r is smaller than queue size

This commit is contained in:
Eren Golge
2019-07-16 15:18:47 +02:00
parent 59a0606e06
commit 72c5062c02
+1 -1
View File
@@ -395,7 +395,7 @@ class Decoder(nn.Module):
return output, stop_token, self.attention_layer.attention_weights
def _update_memory_queue(self, new_memory):
if self.memory_size > 0:
if self.memory_size > 0 and new_memory.shape[-1] < self.memory_size:
self.memory_input = torch.cat([
self.memory_input[:, self.r * self.memory_dim:].clone(),
new_memory