def test_value_range_loss_zero(self):
torch.manual_seed(0)
input = torch.rand(1, 3, 128, 128)
actual = F.value_range_loss(input)
desired = 0.0
self.assertFloatAlmostEqual(actual, desired)
def test_value_range_loss_zero():
torch.manual_seed(0)
input = torch.rand(1, 3, 128, 128)
actual = F.value_range_loss(input)
desired = 0.0
assert desired == ptu.approx(actual)
def test_ValueRangeOperator_call():
torch.manual_seed(0)
image = torch.randn(1, 3, 128, 128)
op = ops.ValueRangeOperator()
actual = op(image)
desired = F.value_range_loss(image)
ptu.assert_allclose(actual, desired)
def test_ValueRangeOperator_call(self):
torch.manual_seed(0)
image = torch.randn(1, 3, 128, 128)
op = ops.ValueRangeOperator()
actual = op(image)
desired = F.value_range_loss(image)
self.assertTensorAlmostEqual(actual, desired)