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add image or video tolerances for CUDA vs CPU tests #6924

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Nov 7, 2022
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29 changes: 25 additions & 4 deletions test/prototype_transforms_kernel_infos.py
Original file line number Diff line number Diff line change
Expand Up @@ -66,6 +66,11 @@ def __init__(
(("TestKernels", "test_against_reference"), torch.uint8, "cpu"): dict(atol=1e-5, rtol=0, agg_method="mean"),
}

CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE = {
(("TestKernels", "test_cuda_vs_cpu"), dtype, "cuda"): dict(atol=atol, rtol=0)
for dtype, atol in [(torch.uint8, 1), (torch.float32, 1 / 255)]
}


def pil_reference_wrapper(pil_kernel):
@functools.wraps(pil_kernel)
Expand Down Expand Up @@ -319,7 +324,10 @@ def reference_inputs_resize_bounding_box():
sample_inputs_fn=sample_inputs_resize_image_tensor,
reference_fn=reference_resize_image_tensor,
reference_inputs_fn=reference_inputs_resize_image_tensor,
closeness_kwargs=DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
closeness_kwargs={
**DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
**CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
},
test_marks=[
xfail_jit_python_scalar_arg("size"),
],
Expand All @@ -346,6 +354,7 @@ def reference_inputs_resize_bounding_box():
KernelInfo(
F.resize_video,
sample_inputs_fn=sample_inputs_resize_video,
closeness_kwargs=CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
),
]
)
Expand Down Expand Up @@ -1011,7 +1020,10 @@ def sample_inputs_resized_crop_video():
sample_inputs_fn=sample_inputs_resized_crop_image_tensor,
reference_fn=reference_resized_crop_image_tensor,
reference_inputs_fn=reference_inputs_resized_crop_image_tensor,
closeness_kwargs=DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
closeness_kwargs={
**DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
**CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
},
),
KernelInfo(
F.resized_crop_bounding_box,
Expand All @@ -1027,6 +1039,7 @@ def sample_inputs_resized_crop_video():
KernelInfo(
F.resized_crop_video,
sample_inputs_fn=sample_inputs_resized_crop_video,
closeness_kwargs=CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
),
]
)
Expand Down Expand Up @@ -1226,7 +1239,10 @@ def sample_inputs_perspective_video():
sample_inputs_fn=sample_inputs_perspective_image_tensor,
reference_fn=pil_reference_wrapper(F.perspective_image_pil),
reference_inputs_fn=reference_inputs_perspective_image_tensor,
closeness_kwargs=DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
closeness_kwargs={
**DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
**CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
},
),
KernelInfo(
F.perspective_bounding_box,
Expand All @@ -1242,6 +1258,7 @@ def sample_inputs_perspective_video():
KernelInfo(
F.perspective_video,
sample_inputs_fn=sample_inputs_perspective_video,
closeness_kwargs=CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
),
]
)
Expand Down Expand Up @@ -1442,7 +1459,10 @@ def sample_inputs_gaussian_blur_video():
KernelInfo(
F.gaussian_blur_image_tensor,
sample_inputs_fn=sample_inputs_gaussian_blur_image_tensor,
closeness_kwargs=DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
closeness_kwargs={
**DEFAULT_PIL_REFERENCE_CLOSENESS_KWARGS,
**CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
},
test_marks=[
xfail_jit_python_scalar_arg("kernel_size"),
xfail_jit_python_scalar_arg("sigma"),
Expand All @@ -1451,6 +1471,7 @@ def sample_inputs_gaussian_blur_video():
KernelInfo(
F.gaussian_blur_video,
sample_inputs_fn=sample_inputs_gaussian_blur_video,
closeness_kwargs=CUDA_VS_CPU_SINGLE_PIXEL_DIFFERENCE,
),
]
)
Expand Down