8dc0a7cd41a23aa58ee44bbadd14b8196a886c96,tasks/copy_task.py,,,#,93
Before Change
input_data, target_output = generate_data(batch_size, random_length, args.input_size, args.cuda)
// input_data = input_data.transpose(0, 1).contiguous()
target_output = target_output.transpose(0, 1).contiguous()
output, (chx, mhx, rv), v = rnn(input_data, None, pass_through_memory=True)
// dncs operate batch first
output = output.transpose(0, 1)
After Change
if rnn.debug:
output, (chx, mhx, rv), v = rnn(input_data, None, pass_through_memory=True)
else:
output, (chx, mhx, rv) = rnn(input_data, None, pass_through_memory=True)
loss = criterion((output), target_output)
loss.backward()
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 3
Instances
Project Name: ixaxaar/pytorch-dnc
Commit Name: 8dc0a7cd41a23aa58ee44bbadd14b8196a886c96
Time: 2017-11-11
Author: root@ixaxaar.in
File Name: tasks/copy_task.py
Class Name:
Method Name:
Project Name: ixaxaar/pytorch-dnc
Commit Name: 37dce1f118af26c4bdf50fe12bf5884394f606d9
Time: 2017-11-11
Author: root@ixaxaar.in
File Name: tasks/copy_task.py
Class Name:
Method Name:
Project Name: rlworkgroup/garage
Commit Name: 5d32a2bc0aa033a4a03a005699fd6268bbaa1a7f
Time: 2020-04-29
Author: ahtsans@gmail.com
File Name: src/garage/tf/models/gru.py
Class Name:
Method Name: gru