CUBLAS_ STATUS_ ALLOC_ FAILED
resolvent:
Extract binding CUDA
torch.rand (1, 3, 10, 10).cuda(7)
It’s OK in training, but not in prediction.
>>> input = torch.rand(1, 3, 10, 10) >>> kh, kw = 3, 3 >>> weight = torch.rand(5, 3, kh, kw) >>> # offset should have the same spatial size as the output >>> # of the convolution. In this case, for an input of 10, stride of 1 >>> # and kernel size of 3, without padding, the output size is 8 >>> offset = torch.rand(5, 2 * kh * kw, 8, 8) >>> out = deform_conv2d(input, offset, weight)