d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3,tests/gradient_tests.py,TestCompareAdjointGradient,problem,#TestCompareAdjointGradient#,99

Before Change


                return torch.mm(y**3, self.A)

        y0 = torch.tensor([[2., 0.]]).to(TEST_DEVICE).requires_grad_(True)
        t_points = torch.linspace(0., 25., 10).to(TEST_DEVICE).requires_grad_(True)
        func = Odefunc().to(TEST_DEVICE)
        return func, y0, t_points

    def test_dopri5_adjoint_against_dopri5(self):

After Change


                return torch.mm(y**3, self.A)

        y0 = torch.tensor([[2., 0.]], device=TEST_DEVICE, requires_grad=True)
        t_points = torch.linspace(0., 25., 10, device=TEST_DEVICE, requires_grad=True)
        func = Odefunc().to(TEST_DEVICE)
        return func, y0, t_points

    def test_dopri5_adjoint_against_dopri5(self):
Italian Trulli
In pattern: SUPERPATTERN

Frequency: 3

Non-data size: 4

Instances


Project Name: rtqichen/torchdiffeq
Commit Name: d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3
Time: 2020-07-25
Author: 33688385+patrick-kidger@users.noreply.github.com
File Name: tests/gradient_tests.py
Class Name: TestCompareAdjointGradient
Method Name: problem


Project Name: rtqichen/torchdiffeq
Commit Name: d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3
Time: 2020-07-25
Author: 33688385+patrick-kidger@users.noreply.github.com
File Name: tests/problems.py
Class Name:
Method Name:


Project Name: rtqichen/torchdiffeq
Commit Name: d041ccdc8112fa0d62ee9ad4ab4cecf0fd8e2cf3
Time: 2020-07-25
Author: 33688385+patrick-kidger@users.noreply.github.com
File Name: tests/problems.py
Class Name:
Method Name: construct_problem