mindspore.Tensor.eq

Tensor.eq(other) → Tensor

Computes the equivalence between two tensors element-wise.

The second argument can be a number or a tensor whose shape is broadcastable with the first argument and vise versa.

\[\begin{split}out_{i} =\begin{cases} & \text{True, if } input_{i} = other_{i} \\ & \text{False, if } input_{i} \ne other_{i} \end{cases}\end{split}\]

Note

  • input and other comply with the implicit type conversion rules to make the data types consistent.

  • The input must be two Tensors, or a Tensor and a Scalar.

  • The shapes of the inputs can be broadcasted to each other.

Parameters

  • input (Union[Tensor, Number]) – The first input is a number or a tensor whose data type is number.

  • other (Union[Tensor, Number]) – The second input is a number or a tensor whose data type is number.

Returns

Tensor, the shape is the same as the one after broadcasting, and the data type is bool.

Raises

TypeError – If neither input nor other is a Tensor or number.Number.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> from mindspore import Tensor
>>> # case 1: The shape of two inputs are different
>>> input = Tensor([1, 2, 3], mindspore.float32)
>>> output = input.eq(2.0)
>>> print(output)
[False True False]
>>> # case 2: The shape of two inputs are the same
>>> input = Tensor([1, 2, 3], mindspore.int32)
>>> other = Tensor([1, 2, 4], mindspore.int32)
>>> output = input.eq(other)
>>> print(output)
[ True  True False]