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Update en docs of to_tensor #29718

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Dec 17, 2020
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4 changes: 2 additions & 2 deletions python/paddle/vision/transforms/functional.py
Original file line number Diff line number Diff line change
Expand Up @@ -62,11 +62,11 @@ def to_tensor(pic, data_format='CHW'):

Args:
pic (PIL.Image|np.ndarray): Image to be converted to tensor.
data_format (str, optional): Data format of input img, should be 'HWC' or
data_format (str, optional): Data format of output tensor, should be 'HWC' or
'CHW'. Default: 'CHW'.

Returns:
Tensor: Converted image. Data format is same as input img.
Tensor: Converted image. Data type is same as input img.

Examples:
.. code-block:: python
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2 changes: 1 addition & 1 deletion python/paddle/vision/transforms/functional_cv2.py
Original file line number Diff line number Diff line change
Expand Up @@ -40,7 +40,7 @@ def to_tensor(pic, data_format='CHW'):

Args:
pic (np.ndarray): Image to be converted to tensor.
data_format (str, optional): Data format of img, should be 'HWC' or
data_format (str, optional): Data format of output tensor, should be 'HWC' or
'CHW'. Default: 'CHW'.

Returns:
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2 changes: 1 addition & 1 deletion python/paddle/vision/transforms/functional_pil.py
Original file line number Diff line number Diff line change
Expand Up @@ -49,7 +49,7 @@ def to_tensor(pic, data_format='CHW'):

Args:
pic (PIL.Image): Image to be converted to tensor.
data_format (str, optional): Data format of img, should be 'HWC' or
data_format (str, optional): Data format of output tensor, should be 'HWC' or
'CHW'. Default: 'CHW'.

Returns:
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16 changes: 11 additions & 5 deletions python/paddle/vision/transforms/transforms.py
Original file line number Diff line number Diff line change
Expand Up @@ -296,15 +296,21 @@ def _apply_mask(self, mask):
class ToTensor(BaseTransform):
"""Convert a ``PIL.Image`` or ``numpy.ndarray`` to ``paddle.Tensor``.

Converts a PIL.Image or numpy.ndarray (H x W x C) in the range
[0, 255] to a paddle.Tensor of shape (C x H x W) in the range [0.0, 1.0]
if the PIL Image belongs to one of the modes (L, LA, P, I, F, RGB, YCbCr, RGBA, CMYK, 1)
or if the numpy.ndarray has dtype = np.uint8
Converts a PIL.Image or numpy.ndarray (H x W x C) to a paddle.Tensor of shape (C x H x W).

If input is a grayscale image (H x W), it will be converted to a image of shape (H x W x 1).
And the shape of output tensor will be (1 x H x W).

If you want to keep the shape of output tensor as (H x W x C), you can set data_format = ``HWC`` .

Converts a PIL.Image or numpy.ndarray in the range [0, 255] to a paddle.Tensor in the
range [0.0, 1.0] if the PIL Image belongs to one of the modes (L, LA, P, I, F, RGB, YCbCr,
RGBA, CMYK, 1) or if the numpy.ndarray has dtype = np.uint8.

In the other cases, tensors are returned without scaling.

Args:
data_format (str, optional): Data format of input img, should be 'HWC' or
data_format (str, optional): Data format of output tensor, should be 'HWC' or
'CHW'. Default: 'CHW'.
keys (list[str]|tuple[str], optional): Same as ``BaseTransform``. Default: None.

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