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Get the jacobian of a vector-valued function that takes batch inputs, in pytorch.
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def get_jacobian(net, x, noutputs): | |
x = x.squeeze() | |
n = x.size()[0] | |
x = x.repeat(noutputs, 1) | |
x.requires_grad_(True) | |
y = net(x) | |
y.backward(torch.eye(noutputs)) | |
return x.grad.data |
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