mindspore.Tensor.expand_as

Tensor.expand_as(other) → Tensor

Expand the shape of the input tensor to be the same as the another input tensor. The dim of the input shape must be smaller than or equal to that of another and the broadcast rules must be met.

Parameters

other (Tensor) – The target Tensor. It's shape is the target shape that input tensor need to be expanded.

Returns

Tensor, with the given shape of other and the same data type as self.

Raises

• TypeError – If other is not a tensor.

• ValueError – If the shapes of other and self are incompatible.

Supported Platforms:

Ascend

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> x = Tensor(np.array([[1, 2, 3], [1, 2, 3]]).astype(np.float32))
>>> other = Tensor(np.array([[1, 1, 1], [1, 1, 1]]).astype(np.float32))
>>> output = x.expand_as(other)
>>> print(output)
[[1. 2. 3.]
 [1. 2. 3.]]

Tensor.expand_as(x) → Tensor

Expand the dimension of input tensor to the dimension of target tensor.

Parameters

x (Tensor) – The target tensor. The shape of the target tensor must obey the broadcasting rule.

Returns

Tensor, has the same dimension as target tensor.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import numpy as np
>>> from mindspore import Tensor
>>> from mindspore import dtype as mstype
>>> input = Tensor([1, 2, 3], dtype=mstype.float32)
>>> x = Tensor(np.ones((2, 3)), dtype=mstype.float32)
>>> output = input.expand_as(x=x)
>>> print(output)
[[1. 2. 3.]
 [1. 2. 3.]]