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xiaoboCASIA
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SV-X-Softmax
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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).
#9
xysong1201
opened
4 years ago
2
Cloud you share your MS-Celeb-1M-v1c-R dataset.
#8
xysong1201
opened
4 years ago
0
Will the Caffe version be released?
#7
ysc703
opened
4 years ago
0
SV-X-Softmax源码
#6
xisi789
opened
5 years ago
5
Training from scratch issues
#5
davidjimenezphd
opened
5 years ago
1
There is no code files of this repo?
#4
yangxudong
opened
5 years ago
17
do i need to modify softmax function?
#3
maryhh
opened
5 years ago
15
the code is ready?
#2
twmht
closed
5 years ago
2
SV-cosface不收敛
#1
icodingc
closed
5 years ago
5