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- import warnings
- from typing import Any, List
- import torch
- from torchvision.transforms import functional as _F
- @torch.jit.unused
- def to_tensor(inpt: Any) -> torch.Tensor:
- """[BETA] [DEPREACTED] Use to_image() and to_dtype() instead."""
- warnings.warn(
- "The function `to_tensor(...)` is deprecated and will be removed in a future release. "
- "Instead, please use `to_image(...)` followed by `to_dtype(..., dtype=torch.float32, scale=True)`."
- )
- return _F.to_tensor(inpt)
- def get_image_size(inpt: torch.Tensor) -> List[int]:
- warnings.warn(
- "The function `get_image_size(...)` is deprecated and will be removed in a future release. "
- "Instead, please use `get_size(...)` which returns `[h, w]` instead of `[w, h]`."
- )
- return _F.get_image_size(inpt)
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