Hello, everyone! I want to calculate per-example gradients. But when I run the code snippet (linear regression to 0) below, I got RuntimeError: invalid gradient at index 0 - got  but expected shape compatible with .
n_sample = 100 n_feature = 10 A=torch.randn(n_sample, n_feature) x=torch.randn(n_feature) grad_tensors = [x] * n_sample b=torch.matmul(A,x) losses = b ** 2 losses.requires_grad = True print(losses.size()) torch.autograd.backward(tensors=(losses, ), grad_tensors=grad_tensors) print(grad_tensors)
losses.size()=torch.Size(), i.e, the number of samples. But why does it expect shape compatible with .