a d@sBddlmZddlZdejeeejeejeejdddZdS))OptionalNư>)labels num_classesdevicedtypeepsreturncCst|tjstdt||jtjks:td|j|dkrPtd||j }tj |d|f|dd||d}| d| dd|S) aConvert 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. 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) tensor([[[[1.0000e+00, 1.0000e-06], [1.0000e-06, 1.0000e+00]], [[1.0000e-06, 1.0000e+00], [1.0000e-06, 1.0000e-06]], [[1.0000e-06, 1.0000e-06], [1.0000e+00, 1.0000e-06]]]]) z-Input labels type is not a torch.Tensor. Got z3labels must be of the same dtype torch.int64. Got: z6The number of classes must be bigger than one. Got: {}rN)rrg?) isinstancetorchTensor TypeErrortyperint64 ValueErrorformatshapezerosZscatter_Z unsqueeze)rrrrrrone_hotr]/var/www/html/stable-diffusion-webui/venv/lib/python3.9/site-packages/kornia/utils/one_hot.pyrs  $r)NNr) typingrr r intrrfloatrrrrrs