mindspore.ops.SparseGatherV2

class mindspore.ops.SparseGatherV2[source]

Returns a slice of input tensor based on the specified indices and axis.

Inputs:

input_params (Tensor) - The shape of tensor is \((x_1, x_2, ..., x_R)\).
input_indices (Tensor) - The shape of tensor is \((y_1, y_2, ..., y_S)\). Specifies the indices of elements of the original Tensor, must be in the range [0, input_params.shape[axis]).
axis (int) - Specifies the dimension index to gather indices.

Outputs:

Tensor, the shape of tensor is \((z_1, z_2, ..., z_N)\).

Raises: TypeError – If axis is not an int.

Supported Platforms:: Ascend GPU

Examples

>>> input_params = Tensor(np.array([[1, 2, 7, 42], [3, 4, 54, 22], [2, 2, 55, 3]]), mindspore.float32)
>>> input_indices = Tensor(np.array([1, 2]), mindspore.int32)
>>> axis = 1
>>> out = ops.SparseGatherV2()(input_params, input_indices, axis)
>>> print(out)
[[2. 7.]
 [4. 54.]
 [2. 55.]]