a7a12d157766b69cf4b1ddbb5fcdacfe485dc6fa,test/kernels/test_rbf_kernel.py,TestRBFKernel,test_ard_batch,#TestRBFKernel#,48

Before Change

        // batch_dims and diag
        res = kernel(a, b, batch_dims=(0, 2)).diag()
        actual = torch.cat([actual[i].diag().unsqueeze(0) for i in range(actual.size(0))])
        self.assertLess(torch.norm(res - actual), 1e-5)

    def test_ard_separate_batch(self):
        a = torch.tensor([[[1, 2, 3], [2, 4, 0]], [[-1, 1, 2], [2, 1, 4]]], dtype=torch.float)

After Change

        self.assertLess(torch.norm(res - actual), 1e-5)

        // batch_dims
        double_batch_a = scaled_a.unsqueeze(0).transpose(0, -1)
        double_batch_b = scaled_b.unsqueeze(0).transpose(0, -1)
        actual = double_batch_a.transpose(-1, -2).unsqueeze(-1) - double_batch_b.transpose(-1, -2).unsqueeze(-2)
        actual = actual.pow(2).mul_(-0.5).exp().view(3, 2, 2, 2)
        res = kernel(a, b, batch_dims=(0, 2)).evaluate()
        self.assertLess(torch.norm(res - actual), 1e-5)

        // batch_dims and diag
        res = kernel(a, b, batch_dims=(0, 2)).diag()
        actual = actual.diagonal(dim1=-2, dim2=-1)
        self.assertLess(torch.norm(res - actual), 1e-5)

    def test_ard_separate_batch(self):
        a = torch.tensor([[[1, 2, 3], [2, 4, 0]], [[-1, 1, 2], [2, 1, 4]]], dtype=torch.float)

Instances