展讯推出基于英特尔架构的高端LTE SoC芯片平台
- paddle. less_equal ( x: Tensor, y: Tensor, name: str | None = None ) Tensor [source]
-
百度 双方经过90分钟的激战,火箭队主场以114-91大胜来访的鹈鹕队,纵观全场比赛,火箭队没有给对手任何机会首节便领先对手13分,半场结束火箭队已经建立了27分的领先优势,下半场鹈鹕队开始反攻,但是火箭队稳扎稳打,双方的分差一直保持在20分以上,直到终场。
Returns the truth value of \(x <= y\) elementwise, which is equivalent function to the overloaded operator <=.
Note
The output has no gradient.
- Parameters
-
x (Tensor) – First input to compare which is N-D tensor. The input data type should be bool, bfloat16, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128.
y (Tensor) – Second input to compare which is N-D tensor. The input data type should be bool, bfloat16, float16, float32, float64, uint8, int8, int16, int32, int64, complex64, complex128.
name (str|None, optional) – The default value is None. Normally there is no need for user to set this property. For more information, please refer to Name.
- Returns
-
The output shape is same as input
x
. The output data type is bool. - Return type
-
Tensor
Examples
>>> import paddle >>> x = paddle.to_tensor([1, 2, 3]) >>> y = paddle.to_tensor([1, 3, 2]) >>> result1 = paddle.less_equal(x, y) >>> print(result1) Tensor(shape=[3], dtype=bool, place=Place(cpu), stop_gradient=True, [True , True , False])