dafdc9b5cb8fa4c65285aad22b1429549d06d71a,networks/resample2d_package/functions/resample2d.py,Resample2dFunction,backward,#Resample2dFunction#Any#,27
Before Change
b, c, h, w = input1.size()
gradInput1 = input1.new().resize_(b,c,h,w).zero_()
b, c, h, w = input2.size()
gradInput2 = input2.new().resize_(b,c,h,w).zero_()
resample2d.Resample2d_cuda_backward(input1, input2, gradOutput, gradInput1, gradInput2, self.kernel_size)
return gradInput1, gradInput2
After Change
grad_input1.data, grad_input2.data,
ctx.kernel_size)
return grad_input1, grad_input2, None
In pattern: SUPERPATTERN
Frequency: 3
Non-data size: 6
Instances
Project Name: NVIDIA/flownet2-pytorch
Commit Name: dafdc9b5cb8fa4c65285aad22b1429549d06d71a
Time: 2018-02-04
Author: chenkaidev@gmail.com
File Name: networks/resample2d_package/functions/resample2d.py
Class Name: Resample2dFunction
Method Name: backward
Project Name: NVIDIA/flownet2-pytorch
Commit Name: dafdc9b5cb8fa4c65285aad22b1429549d06d71a
Time: 2018-02-04
Author: chenkaidev@gmail.com
File Name: networks/channelnorm_package/functions/channelnorm.py
Class Name: ChannelNormFunction
Method Name: backward
Project Name: pytorch/audio
Commit Name: 3bd4db86630b75bbbfb6c5c0a1a85603097bf9b2
Time: 2019-01-04
Author: david@da3.net
File Name: torchaudio/transforms.py
Class Name: SPECTROGRAM
Method Name: __call__