a7d92f7020dfe8854430ef13ed2923b2606a6262,torchsample/transforms/affine_transforms.py,RandomShear,__call__,#RandomShear#,443

Before Change

        if self.lazy:
            return Shear(shear, lazy=True)(x)
        else:
            if y is None:
                x_transformed = Shear(shear, 
                                      interp=self.interp)(x)
                return x_transformed
            else:
                x_transformed, y_transformed = Shear(shear,
                                                     interp=self.interp)(x,y)
                return x_transformed, y_transformed
      

class Shear(object):

    def __init__(self,
                 value,

After Change

            return Shear(shear, 
                         lazy=True)(inputs[0])
        else:
            outputs = Shear(shear,
                            interp=self.interp)(*inputs)
            return outputs


class RandomChoiceShear(object):

Instances