is_floating_point

paddle. is_floating_point ( x: Tensor ) → bool [source]

Returns whether the dtype of x is one of paddle.float64, paddle.float32, paddle.float16, and paddle.bfloat16.

Note

Alias Support: The parameter name input can be used as an alias for x. For example, is_floating_point(input=tensor_x) is equivalent to is_floating_point(x=tensor_x).

Parameters: x (Tensor) – The input tensor. alias: input.
Returns: True if the dtype of x is floating type, otherwise false.
Return type: bool

Examples

           >>> import paddle

>>> x = paddle.arange(1., 5., dtype='float32')
>>> y = paddle.arange(1, 5, dtype='int32')
>>> print(paddle.is_floating_point(x))
True
>>> print(paddle.is_floating_point(y))
False

          