mindspore.ops.ZerosLike
- class mindspore.ops.ZerosLike[source]
Creates a new tensor. All elements value are 0.
Returns a tensor of zeros with the same shape and data type as the input tensor.
- Inputs:
input_x (Tensor) - Input tensor. The data type is int32, int64, float16 or float32. The shape is \((N,*)\) where \(*\) means, any number of additional dimensions.
- Outputs:
Tensor, has the same shape and data type as input_x but filled with zeros.
- Raises
TypeError – If input_x is not a Tensor.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> zeroslike = ops.ZerosLike() >>> input_x = Tensor(np.array([[0, 1], [2, 1]]).astype(np.float32)) >>> output = zeroslike(input_x) >>> print(output) [[0. 0.] [0. 0.]]