mindspore.ops.unsqueeze

mindspore.ops.unsqueeze(input_x, dim)[source]

Adds an additional dimension to input_x at the given dim.

Note

If the specified dim is a negative number, the index is counted backward from the end and starts at 1.

Parameters

  • input_x (Tensor) – The shape of tensor is \((x_1, x_2, ..., x_R)\).

  • dim (int) – Specifies the dimension index at which to expand the shape of input_x. The value of dim must be in the range [-input_x.ndim-1, input_x.ndim]. Only constant value is allowed.

Returns

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

Raises

  • TypeError – If dim is not an int.

  • ValueError – If dim is not in the valid range \([-input_x.ndim-1, input_x.ndim]\).

Supported Platforms:

Ascend GPU CPU

Examples

>>> input_tensor = Tensor(np.array([[2, 2], [2, 2]]), mindspore.float32)
>>> output = ops.unsqueeze(input_tensor, dim=0)
>>> print(output)
[[[2. 2.]
  [2. 2.]]]