You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
I change the model to point.rs.conve.
In fact, there doesn't exist error, but a userwanrning like follows: **"‘UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly reately increasing memory usage. To compact weights again call flatten_parameters()"**
I found the code:
self.path = [self.path_encoder(init_action_embedding, (init_h, init_c))[1]]
self.path_encoder = nn.LSTM(*)
found the class LSTM, and added the flatten_parameters, it doesn''t still work. and is it related to the version of anaconda(v_4.8.3)
could you give some suggestions?
The text was updated successfully, but these errors were encountered:
I have the same question,Have you solved it?or could you give some suggestions?
I change the model to point.rs.conve. In fact, there doesn't exist error, but a userwanrning like follows: **"‘UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly reately increasing memory usage. To compact weights again call flatten_parameters()"** I found the code: self.path = [self.path_encoder(init_action_embedding, (init_h, init_c))[1]] self.path_encoder = nn.LSTM(*) found the class LSTM, and added the flatten_parameters, it doesn''t still work. and is it related to the version of anaconda(v_4.8.3) could you give some suggestions?
I change the model to point.rs.conve.
In fact, there doesn't exist error, but a userwanrning like follows:
**"‘UserWarning: RNN module weights are not part of single contiguous chunk of memory. This means they need to be compacted at every call, possibly reately increasing memory usage. To compact weights again call flatten_parameters()"**
I found the code:
self.path = [self.path_encoder(init_action_embedding, (init_h, init_c))[1]]
self.path_encoder = nn.LSTM(*)
found the class LSTM, and added the flatten_parameters, it doesn''t still work. and is it related to the version of anaconda(v_4.8.3)
could you give some suggestions?
The text was updated successfully, but these errors were encountered: