Issues

• one of the variables needed for gradient computation has been modified by an inplace operation: which is output 0 of MmBackward, is at version 1; expected version 0 instead. Hint: enable anomaly detection to find the operation that failed to compute its gradient, with torch.autograd.set_detect_anomaly(True).

  xiaoboCASIA/SV-X-Softmax#9 · Filter by author xysong1201 opened on Feb 12, 2020
  2

• Cloud you share your MS-Celeb-1M-v1c-R dataset.

  xiaoboCASIA/SV-X-Softmax#8 · Filter by author xysong1201 opened on Feb 10, 2020

• Will the Caffe version be released?

  xiaoboCASIA/SV-X-Softmax#7 · Filter by author ysc703 opened on Nov 26, 2019

• SV-X-Softmax源码

  xiaoboCASIA/SV-X-Softmax#6 · Filter by author xisi789 opened on Aug 1, 2019
  5

• Training from scratch issues

  xiaoboCASIA/SV-X-Softmax#5 · Filter by author davidjimenezphd opened on Jun 14, 2019
  1

• There is no code files of this repo?

  xiaoboCASIA/SV-X-Softmax#4 · Filter by author yangxudong opened on Feb 28, 2019
  17

• do i need to modify softmax function?

  xiaoboCASIA/SV-X-Softmax#3 · Filter by author maryhh opened on Feb 25, 2019
  15