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remove trailing _tensor from image kernel checks #7908

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Aug 30, 2023
Merged

remove trailing _tensor from image kernel checks #7908

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12 changes: 6 additions & 6 deletions test/test_transforms_v2_refactored.py
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Original file line number Diff line number Diff line change
Expand Up @@ -459,7 +459,7 @@ def _compute_output_size(self, *, input_size, size, max_size):
@pytest.mark.parametrize("antialias", [True, False])
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, size, interpolation, use_max_size, antialias, dtype, device):
def test_kernel_image(self, size, interpolation, use_max_size, antialias, dtype, device):
if not (max_size_kwarg := self._make_max_size_kwarg(use_max_size=use_max_size, size=size)):
return

Expand Down Expand Up @@ -830,7 +830,7 @@ def test_float16_no_rounding(self):
class TestHorizontalFlip:
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, dtype, device):
def test_kernel_image(self, dtype, device):
check_kernel(F.horizontal_flip_image, make_image(dtype=dtype, device=device))

@pytest.mark.parametrize("format", list(tv_tensors.BoundingBoxFormat))
Expand Down Expand Up @@ -980,7 +980,7 @@ def _check_kernel(self, kernel, input, *args, **kwargs):
)
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, param, value, dtype, device):
def test_kernel_image(self, param, value, dtype, device):
if param == "fill":
value = adapt_fill(value, dtype=dtype)
self._check_kernel(
Expand Down Expand Up @@ -1280,7 +1280,7 @@ def test_transform_unknown_fill_error(self):
class TestVerticalFlip:
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, dtype, device):
def test_kernel_image(self, dtype, device):
check_kernel(F.vertical_flip_image, make_image(dtype=dtype, device=device))

@pytest.mark.parametrize("format", list(tv_tensors.BoundingBoxFormat))
Expand Down Expand Up @@ -1404,7 +1404,7 @@ class TestRotate:
)
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, param, value, dtype, device):
def test_kernel_image(self, param, value, dtype, device):
kwargs = {param: value}
if param != "angle":
kwargs["angle"] = self._MINIMAL_AFFINE_KWARGS["angle"]
Expand Down Expand Up @@ -2382,7 +2382,7 @@ def _make_displacement(self, inpt):
)
@pytest.mark.parametrize("dtype", [torch.float32, torch.uint8])
@pytest.mark.parametrize("device", cpu_and_cuda())
def test_kernel_image_tensor(self, param, value, dtype, device):
def test_kernel_image(self, param, value, dtype, device):
image = make_image_tensor(dtype=dtype, device=device)

check_kernel(
Expand Down