def get_np_dtype(nd4j_dtype):
    """
    Gets the equivalent numpy data type
    for a given nd4j data type.
    # Arguments:
        nd4j_dtype : Nd4j data type. One of
        ['double', 'float', 'half']
    """
    mapping = {
        'double': np.float64,
        'float': np.float32,
        'half': np.float16
    }
    np_dtype = mapping.get(nd4j_dtype)
    if not np_dtype:
        raise Exception('Invalid nd4j data type : ' + nd4j_dtype)
    return np_dtype
def get_np_dtype ( nd4j_dtype ) : mapping = { 'double' : np . float64 , 'float' : np . float32 , 'half' : np . float16 } np_dtype = mapping . get ( nd4j_dtype ) if not np_dtype : raise Exception ( 'Invalid nd4j data type : ' + nd4j_dtype ) return np_dtype
Gets the equivalent numpy data type
    for a given nd4j data type.
    # Arguments:
        nd4j_dtype : Nd4j data type. One of
        ['double', 'float', 'half']