nujo/init/random.py
def randn(*shape: int, diff=False, name='Tensor[randn]') -> Tensor:
    ''' Return a sample (or samples) from the "standard normal" distribution.
    '''

    return Tensor(np_randn(*shape), diff=diff, name=name)
 Return a sample (or samples) from the "standard normal" distribution.
    
Return a sample (or samples) from the "standard normal" distribution.
Return a sample ( or samples ) from the " standard normal " distribution .
def randn(*shape: int, diff=False, name='Tensor[randn]') -> Tensor:
    return Tensor(np_randn(*shape), diff=diff, name=name)
def randn ( * shape : int , diff = False , name = 'Tensor[randn]' ) -> Tensor : return Tensor ( np_randn ( * shape ) , diff = diff , name = name )
Return a sample (or samples) from the "standard normal" distribution.
Return a sample ( or samples ) from the " standard normal " distribution .
''' Return a sample (or samples) from the "standard normal" distribution.
    '''
shape
int
diff
name