python testcuda.py error

[xtanitfy]

(Pytorch-1.4.0) sh-4.3$python testcuda.py torch.Size([2, 64, 128, 128]) torch.Size([20, 32, 7, 7]) torch.Size([20, 32, 7, 7]) torch.Size([20, 32, 7, 7]) 0.971507, 1.943014 0.971507, 1.943014 Zero offset passed /home/ma-user/anaconda3/envs/Pytorch-1.4.0/lib/python3.6/site-packages/torch/autograd/gradcheck.py:302: UserWarning: The {}th input requires gradient and is not a double precision floating point or complex. This check will likely fail if all the inputs are not of double precision floating point or complex. 'The {}th input requires gradient and ' check_gradient_dpooling: True Traceback (most recent call last): File "testcuda.py", line 265, in check_gradient_dconv() File "testcuda.py", line 97, in check_gradient_dconv eps=1e-3, atol=1e-4, rtol=1e-2)) File "/home/ma-user/anaconda3/envs/Pytorch-1.4.0/lib/python3.6/site-packages/torch/autograd/gradcheck.py", line 390, in gradcheck checkIfNumericalAnalyticAreClose(a, n, j) File "/home/ma-user/anaconda3/envs/Pytorch-1.4.0/lib/python3.6/site-packages/torch/autograd/gradcheck.py", line 372, in checkIfNumericalAnalyticAreClose 'numerical:%s\nanalytical:%s\n' % (i, j, n, a)) File "/home/ma-user/anaconda3/envs/Pytorch-1.4.0/lib/python3.6/site-packages/torch/autograd/gradcheck.py", line 289, in fail_test raise RuntimeError(msg) RuntimeError: Jacobian mismatch for output 0 with respect to input 1, numerical:tensor([[ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0041, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], ..., [ 0.0000, 0.0000, 0.0000, ..., -0.0018, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0009]], device='cuda:0') analytical:tensor([[ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0041, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], ..., [ 0.0000, 0.0000, 0.0000, ..., -0.0018, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0000], [ 0.0000, 0.0000, 0.0000, ..., 0.0000, 0.0000, 0.0009]], device='cuda:0')

[xtanitfy]

chage the line 97 as follow and the error dispear:

print('check_gradient_dconv: ', gradcheck(dcn_v2_conv, (input, offset, mask, weight, bias, stride, padding, dilation, deformable_groups), eps=1e-3, atol=1e-3, rtol=1e-2))

[lucasjinreal]

I am not sure this version compatible with pytorcch 1.4, it is tested on latest version of pytorch

[peizhaoli05]

I am having the same error while using PyTorch 1.8.1/1.7.1.