o
    oi4	                     @   s@   d dl Z d dlmZ ddedede jde jded	efd
dZdS )    N)Tensorư>labelsnum_classesdevicedtypeepsreturnc                 C   s   t | tstdt|  | jtjkstd| j |dk r'td| | j}tj	|d |f|dd  |||d}|
d| ddS )	a  Convert an integer label x-D tensor to a one-hot (x+1)-D tensor.

    Args:
        labels: tensor with labels of shape :math:`(N, *)`, where N is batch size.
          Each value is an integer representing correct classification.
        num_classes: number of classes in labels.
        device: the desired device of returned tensor.
        dtype: the desired data type of returned tensor.
        eps: epsilon for numerical stability.

    Returns:
        the labels in one hot tensor of shape :math:`(N, C, *)`,

    Examples:
        >>> labels = torch.LongTensor([[[0, 1], [2, 0]]])
        >>> one_hot(labels, num_classes=3, device=torch.device('cpu'), dtype=torch.float32)
        tensor([[[[1.0000e+00, 1.0000e-06],
                  [1.0000e-06, 1.0000e+00]],
        <BLANKLINE>
                 [[1.0000e-06, 1.0000e+00],
                  [1.0000e-06, 1.0000e-06]],
        <BLANKLINE>
                 [[1.0000e-06, 1.0000e-06],
                  [1.0000e+00, 1.0000e-06]]]])

    z'Input labels type is not a Tensor. Got z3labels must be of the same dtype torch.int64. Got:    z4The number of classes must be bigger than one. Got: r   N)r   r   g      ?)
isinstancer   	TypeErrortyper   torchint64
ValueErrorshapefullscatter_	unsqueeze)r   r   r   r   r   r   one_hot r   H/home/ubuntu/.local/lib/python3.10/site-packages/kornia/utils/one_hot.pyr      s   
&r   )r   )r   kornia.corer   intr   r   floatr   r   r   r   r   <module>   s   ,