mindspore.ops.ZerosLike

class mindspore.ops.ZerosLike[source]

Returns a Tensor with a value of 0 and its shape and data type is the same as the input.

Inputs:

input_x (Tensor) - Input Tensor of any dimension. The data type is int32, int64, float16 or float32.

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.]]