mindspore.ops.ExpandDims

class mindspore.ops.ExpandDims[source]

Adds an additional dimension to input_x at the given axis.

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

Inputs:

input_x (Tensor) - The shape of tensor is \((x_1, x_2, ..., x_R)\).
axis (int) - Specifies the dimension index at which to expand the shape of input_x. The value of axis must be in the range [-input_x.ndim-1, input_x.ndim]. Only constant value is allowed.

Outputs:

Tensor, the shape of tensor is \((1, x_1, x_2, ..., x_R)\) if the value of axis is 0. It has the same data type as input_x.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> input_tensor = Tensor(np.array([[2, 2], [2, 2]]), mindspore.float32)
>>> expand_dims = ops.ExpandDims()
>>> output = expand_dims(input_tensor, 0)
>>> print(output)
[[[2. 2.]
  [2. 2.]]]
>>> input_tensor = Tensor(2.1+2j, mindspore.complex64)
>>> expand_dims = ops.ExpandDims()
>>> output = expand_dims(input_tensor, 0)
>>> print(output)
[2.1+2.j]