mindspore.ops.ExpandDims
- class mindspore.ops.ExpandDims[source]
Adds an additional dimension to input_x at the given axis.
Note
If the specified axis is a negative number, the index is counted backward from the end and starts at 1.
- 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.
- Raises
ValueError – If axis is not an int or not in the valid range.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> 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.]]]