mindspore.ops.expand_dims
- mindspore.ops.expand_dims(input_x, axis)[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.
- Parameters
- Returns
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
TypeError – If axis is not an int.
ValueError – If axis is not in the valid range \([-a.ndim-1, a.ndim]\).
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_tensor = Tensor(np.array([[2, 2], [2, 2]]), mindspore.float32) >>> output = ops.expand_dims(input_tensor, 0) >>> print(output) [[[2. 2.] [2. 2.]]]