d4e0279e78d4410d7bfb5eb82211820cb5d63f7e,tests/test_autograd.py,,test_minibatch_unit_variance_mlpg_gradcheck,#,119

Before Change

        // Target
        y = G.mlpg(means.numpy(), np.ones(static_dim * len(windows)), windows)
        y = Variable(torch.from_numpy(y), requires_grad=False)
        y_expanded = y.expand(batch_size, y.size(0), y.size(1))

        // Pack into variables
        means = Variable(means, requires_grad=True)

After Change

        // Target
        y = G.mlpg(means.numpy(), np.ones(static_dim * len(windows)), windows)
        y = torch.from_numpy(y)
        y_expanded = y.expand(batch_size, y.size(0), y.size(1))

        means.requires_grad = True
        means_expanded.requires_grad = True

Instances