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in pose_rnn.py, L80:

#h = torch.cat([hidden[0][0:1], hidden[0][1:]], dim=2)
#c = torch.cat([hidden[1][0:1], hidden[1][1:]], dim=2)
# these 2 lines throw a dim error, is it supposed to be:  
h = hidden[0] 
c = hidden[1]

Issue Analytics

  • State:open
  • Created 4 years ago
  • Reactions:6
  • Comments:5

github_iconTop GitHub Comments

2reactions
WendyShangcommented, Oct 14, 2019

yes, as i have already posted, use h = hidden[0], c = hidden[1]

0reactions
zyong812commented, Jan 9, 2020

Thanks, same problem. Have you got reasonable results after changing the code?

Read more comments on GitHub >

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