def fcast ( value : float ) -> TensorLike : newvalue = tf . cast ( value , FTYPE ) if DEVICE == 'gpu' : newvalue = newvalue . gpu ( ) # Why is this needed?  # pragma: no cover return newvalue
python tensorflow casting int to float
Cast to float tensor
def fcast(value: float) -> TensorLike:
    """Cast to float tensor"""
    newvalue = tf.cast(value, FTYPE)
    if DEVICE == 'gpu':
        newvalue = newvalue.gpu()  # Why is this needed?  # pragma: no cover
    return newvalue