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]