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Add API usage calls to utils #5077

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Merged
merged 3 commits into from
Dec 10, 2021
Merged

Add API usage calls to utils #5077

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56cbf26
Add API usage calls to utils
zhiqwang Dec 9, 2021
69dbd21
Update to the new api
zhiqwang Dec 9, 2021
1a3b7a2
Merge branch 'main' into utils-log-api
zhiqwang Dec 10, 2021
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5 changes: 5 additions & 0 deletions torchvision/utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -42,6 +42,7 @@ def make_grid(
Returns:
grid (Tensor): the tensor containing grid of images.
"""
_log_api_usage_once("utils", "make_grid")
if not (torch.is_tensor(tensor) or (isinstance(tensor, list) and all(torch.is_tensor(t) for t in tensor))):
raise TypeError(f"tensor or list of tensors expected, got {type(tensor)}")

Expand Down Expand Up @@ -130,6 +131,7 @@ def save_image(
**kwargs: Other arguments are documented in ``make_grid``.
"""

_log_api_usage_once("utils", "save_image")
grid = make_grid(tensor, **kwargs)
# Add 0.5 after unnormalizing to [0, 255] to round to nearest integer
ndarr = grid.mul(255).add_(0.5).clamp_(0, 255).permute(1, 2, 0).to("cpu", torch.uint8).numpy()
Expand Down Expand Up @@ -174,6 +176,7 @@ def draw_bounding_boxes(
img (Tensor[C, H, W]): Image Tensor of dtype uint8 with bounding boxes plotted.
"""

_log_api_usage_once("utils", "draw_bounding_boxes")
if not isinstance(image, torch.Tensor):
raise TypeError(f"Tensor expected, got {type(image)}")
elif image.dtype != torch.uint8:
Expand Down Expand Up @@ -252,6 +255,7 @@ def draw_segmentation_masks(
img (Tensor[C, H, W]): Image Tensor, with segmentation masks drawn on top.
"""

_log_api_usage_once("utils", "draw_segmentation_masks")
if not isinstance(image, torch.Tensor):
raise TypeError(f"The image must be a tensor, got {type(image)}")
elif image.dtype != torch.uint8:
Expand Down Expand Up @@ -329,6 +333,7 @@ def draw_keypoints(
img (Tensor[C, H, W]): Image Tensor of dtype uint8 with keypoints drawn.
"""

_log_api_usage_once("utils", "draw_keypoints")
if not isinstance(image, torch.Tensor):
raise TypeError(f"The image must be a tensor, got {type(image)}")
elif image.dtype != torch.uint8:
Expand Down