mindspore.ops.SparseGatherV2

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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 (Union(int, Tensor[int])) - Specifies the dimension index to gather indices. When axis is Tensor, the size must be 1.

Outputs:

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

Supported Platforms:

Ascend GPU

Examples

>>> import mindspore
>>> import numpy as np
>>> from mindspore import Tensor, ops
>>> 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.]]