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Add video kernels to dispatcher tests #6905

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27 changes: 27 additions & 0 deletions test/prototype_transforms_dispatcher_infos.py
Original file line number Diff line number Diff line change
Expand Up @@ -140,6 +140,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.horizontal_flip,
kernels={
features.Image: F.horizontal_flip_image_tensor,
features.Video: F.horizontal_flip_video,
features.BoundingBox: F.horizontal_flip_bounding_box,
features.Mask: F.horizontal_flip_mask,
},
Expand All @@ -149,6 +150,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.resize,
kernels={
features.Image: F.resize_image_tensor,
features.Video: F.resize_video,
features.BoundingBox: F.resize_bounding_box,
features.Mask: F.resize_mask,
},
Expand All @@ -161,6 +163,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.affine,
kernels={
features.Image: F.affine_image_tensor,
features.Video: F.affine_video,
features.BoundingBox: F.affine_bounding_box,
features.Mask: F.affine_mask,
},
Expand All @@ -177,6 +180,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.vertical_flip,
kernels={
features.Image: F.vertical_flip_image_tensor,
features.Video: F.vertical_flip_video,
features.BoundingBox: F.vertical_flip_bounding_box,
features.Mask: F.vertical_flip_mask,
},
Expand All @@ -186,6 +190,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.rotate,
kernels={
features.Image: F.rotate_image_tensor,
features.Video: F.rotate_video,
features.BoundingBox: F.rotate_bounding_box,
features.Mask: F.rotate_mask,
},
Expand All @@ -200,6 +205,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.crop,
kernels={
features.Image: F.crop_image_tensor,
features.Video: F.crop_video,
features.BoundingBox: F.crop_bounding_box,
features.Mask: F.crop_mask,
},
Expand All @@ -209,6 +215,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.resized_crop,
kernels={
features.Image: F.resized_crop_image_tensor,
features.Video: F.resized_crop_video,
features.BoundingBox: F.resized_crop_bounding_box,
features.Mask: F.resized_crop_mask,
},
Expand All @@ -218,6 +225,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.pad,
kernels={
features.Image: F.pad_image_tensor,
features.Video: F.pad_video,
features.BoundingBox: F.pad_bounding_box,
features.Mask: F.pad_mask,
},
Expand All @@ -244,6 +252,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.perspective,
kernels={
features.Image: F.perspective_image_tensor,
features.Video: F.perspective_video,
features.BoundingBox: F.perspective_bounding_box,
features.Mask: F.perspective_mask,
},
Expand All @@ -256,6 +265,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.elastic,
kernels={
features.Image: F.elastic_image_tensor,
features.Video: F.elastic_video,
features.BoundingBox: F.elastic_bounding_box,
features.Mask: F.elastic_mask,
},
Expand All @@ -265,6 +275,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.center_crop,
kernels={
features.Image: F.center_crop_image_tensor,
features.Video: F.center_crop_video,
features.BoundingBox: F.center_crop_bounding_box,
features.Mask: F.center_crop_mask,
},
Expand All @@ -277,6 +288,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.gaussian_blur,
kernels={
features.Image: F.gaussian_blur_image_tensor,
features.Video: F.gaussian_blur_video,
},
pil_kernel_info=PILKernelInfo(F.gaussian_blur_image_pil),
test_marks=[
Expand All @@ -288,48 +300,55 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.equalize,
kernels={
features.Image: F.equalize_image_tensor,
features.Video: F.equalize_video,
},
pil_kernel_info=PILKernelInfo(F.equalize_image_pil, kernel_name="equalize_image_pil"),
),
DispatcherInfo(
F.invert,
kernels={
features.Image: F.invert_image_tensor,
features.Video: F.invert_video,
},
pil_kernel_info=PILKernelInfo(F.invert_image_pil, kernel_name="invert_image_pil"),
),
DispatcherInfo(
F.posterize,
kernels={
features.Image: F.posterize_image_tensor,
features.Video: F.posterize_video,
},
pil_kernel_info=PILKernelInfo(F.posterize_image_pil, kernel_name="posterize_image_pil"),
),
DispatcherInfo(
F.solarize,
kernels={
features.Image: F.solarize_image_tensor,
features.Video: F.solarize_video,
},
pil_kernel_info=PILKernelInfo(F.solarize_image_pil, kernel_name="solarize_image_pil"),
),
DispatcherInfo(
F.autocontrast,
kernels={
features.Image: F.autocontrast_image_tensor,
features.Video: F.autocontrast_video,
},
pil_kernel_info=PILKernelInfo(F.autocontrast_image_pil, kernel_name="autocontrast_image_pil"),
),
DispatcherInfo(
F.adjust_sharpness,
kernels={
features.Image: F.adjust_sharpness_image_tensor,
features.Video: F.adjust_sharpness_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_sharpness_image_pil, kernel_name="adjust_sharpness_image_pil"),
),
DispatcherInfo(
F.erase,
kernels={
features.Image: F.erase_image_tensor,
features.Video: F.erase_video,
},
pil_kernel_info=PILKernelInfo(F.erase_image_pil),
test_marks=[
Expand All @@ -340,41 +359,47 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.adjust_brightness,
kernels={
features.Image: F.adjust_brightness_image_tensor,
features.Video: F.adjust_brightness_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_brightness_image_pil, kernel_name="adjust_brightness_image_pil"),
),
DispatcherInfo(
F.adjust_contrast,
kernels={
features.Image: F.adjust_contrast_image_tensor,
features.Video: F.adjust_contrast_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_contrast_image_pil, kernel_name="adjust_contrast_image_pil"),
),
DispatcherInfo(
F.adjust_gamma,
kernels={
features.Image: F.adjust_gamma_image_tensor,
features.Video: F.adjust_gamma_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_gamma_image_pil, kernel_name="adjust_gamma_image_pil"),
),
DispatcherInfo(
F.adjust_hue,
kernels={
features.Image: F.adjust_hue_image_tensor,
features.Video: F.adjust_hue_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_hue_image_pil, kernel_name="adjust_hue_image_pil"),
),
DispatcherInfo(
F.adjust_saturation,
kernels={
features.Image: F.adjust_saturation_image_tensor,
features.Video: F.adjust_saturation_video,
},
pil_kernel_info=PILKernelInfo(F.adjust_saturation_image_pil, kernel_name="adjust_saturation_image_pil"),
),
DispatcherInfo(
F.five_crop,
kernels={
features.Image: F.five_crop_image_tensor,
features.Video: F.five_crop_video,
},
pil_kernel_info=PILKernelInfo(F.five_crop_image_pil),
test_marks=[
Expand All @@ -386,6 +411,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.ten_crop,
kernels={
features.Image: F.ten_crop_image_tensor,
features.Video: F.ten_crop_video,
},
test_marks=[
xfail_jit_python_scalar_arg("size"),
Expand All @@ -397,6 +423,7 @@ def fill_sequence_needs_broadcast(args_kwargs):
F.normalize,
kernels={
features.Image: F.normalize_image_tensor,
features.Video: F.normalize_video,
},
test_marks=[
skip_dispatch_feature,
Expand Down
37 changes: 29 additions & 8 deletions test/prototype_transforms_kernel_infos.py
Original file line number Diff line number Diff line change
Expand Up @@ -2020,6 +2020,12 @@ def reference_inputs_five_crop_image_tensor():
yield ArgsKwargs(image_loader, size=size)


def sample_inputs_five_crop_video():
size = _FIVE_TEN_CROP_SIZES[0]
for video_loader in make_video_loaders(sizes=[_get_five_ten_crop_spatial_size(size)]):
yield ArgsKwargs(video_loader, size=size)


def sample_inputs_ten_crop_image_tensor():
for size, vertical_flip in itertools.product(_FIVE_TEN_CROP_SIZES, [False, True]):
for image_loader in make_image_loaders(
Expand All @@ -2036,30 +2042,45 @@ def reference_inputs_ten_crop_image_tensor():
yield ArgsKwargs(image_loader, size=size, vertical_flip=vertical_flip)


def sample_inputs_ten_crop_video():
size = _FIVE_TEN_CROP_SIZES[0]
for video_loader in make_video_loaders(sizes=[_get_five_ten_crop_spatial_size(size)]):
yield ArgsKwargs(video_loader, size=size)


_common_five_ten_crop_marks = [
xfail_jit_python_scalar_arg("size"),
mark_framework_limitation(("TestKernels", "test_batched_vs_single"), "Custom batching needed."),
]

KERNEL_INFOS.extend(
[
KernelInfo(
F.five_crop_image_tensor,
sample_inputs_fn=sample_inputs_five_crop_image_tensor,
reference_fn=pil_reference_wrapper(F.five_crop_image_pil),
reference_inputs_fn=reference_inputs_five_crop_image_tensor,
test_marks=[
xfail_jit_python_scalar_arg("size"),
mark_framework_limitation(("TestKernels", "test_batched_vs_single"), "Custom batching needed."),
],
test_marks=_common_five_ten_crop_marks,
closeness_kwargs=DEFAULT_IMAGE_CLOSENESS_KWARGS,
),
KernelInfo(
F.five_crop_video,
sample_inputs_fn=sample_inputs_five_crop_video,
test_marks=_common_five_ten_crop_marks,
),
KernelInfo(
F.ten_crop_image_tensor,
sample_inputs_fn=sample_inputs_ten_crop_image_tensor,
reference_fn=pil_reference_wrapper(F.ten_crop_image_pil),
reference_inputs_fn=reference_inputs_ten_crop_image_tensor,
test_marks=[
xfail_jit_python_scalar_arg("size"),
mark_framework_limitation(("TestKernels", "test_batched_vs_single"), "Custom batching needed."),
],
test_marks=_common_five_ten_crop_marks,
closeness_kwargs=DEFAULT_IMAGE_CLOSENESS_KWARGS,
),
KernelInfo(
F.ten_crop_video,
sample_inputs_fn=sample_inputs_ten_crop_video,
test_marks=_common_five_ten_crop_marks,
),
]
)

Expand Down