mindspore.ops.Equal

class mindspore.ops.Equal[source]

Computes the equivalence between two tensors element-wise.

Refer to mindspore.ops.equal() for more details.

Inputs:

x (Union[Tensor, Number]) - The first input is a Number or a tensor whose data type is Number.
y (Union[Tensor, Number]) - The second input is a Number when the first input is a tensor or a tensor whose data type is Number. The data type is the same as the first input.

Outputs:

Tensor, it has the same shape as the x and y after broadcasting, and the data type is bool.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> # case 1: The shape of two inputs are different
>>> x = Tensor(np.array([1, 2, 3]), mindspore.float32)
>>> equal = ops.Equal()
>>> output = equal(x, 2.0)
>>> print(output)
[False True False]
>>> # case 2: The shape of two inputs are the same
>>> x = Tensor(np.array([1, 2, 3]), mindspore.int32)
>>> y = Tensor(np.array([1, 2, 4]), mindspore.int32)
>>> equal = ops.Equal()
>>> output = equal(x, y)
>>> print(output)
[ True  True False]