ece_loss/loss.py
def sample_from_background(predictions: Tensor) -> Tensor:
        """
        Implements sampling across the prediction samples.
        Returns vector values in the range [0, 1] drawn from a uniform distribution.
        """
        return predictions.float().new(predictions.shape).uniform_()

        Implements sampling across the prediction samples.
        Returns vector values in the range [0, 1] drawn from a uniform distribution.
        
Implements sampling across the prediction samples.
Returns vector values in the range [0, 1] drawn from a uniform distribution.
Implements sampling across the prediction samples . Returns vector values in the range [ 0 1 ] drawn from a uniform distribution .
def sample_from_background(predictions: Tensor) -> Tensor:
        return predictions.float().new(predictions.shape).uniform_()
def sample_from_background ( predictions : Tensor ) -> Tensor : return predictions . float ( ) . new ( predictions . shape ) . uniform_ ( )
Implements sampling across the prediction samples.
Implements sampling across the prediction samples .
"""
        Implements sampling across the prediction samples.
        Returns vector values in the range [0, 1] drawn from a uniform distribution.
        """
predictions
Tensor