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mindspore.ops.scatter_add

mindspore.ops.scatter_add(input_x, indices, updates)

Perform an addition update on input_x based on the specified indices and update values.

$$\text{input\_x}[\text{indices}[i,...,j],:]+=\text{updates}[i,...,j,:]$$

Note

• Support implicit type conversion and type promotion.

• Since Parameter objects do not support type conversion, an exception will be thrown when input_x is of a low-precision data type.

• The shape of updates is indices.shape + input_x.shape[1:].

Parameters

• input_x (Union[Parameter, Tensor]) – The input parameter or tensor.

• indices (Tensor) – The specified indices.

• updates (Tensor) – The update values.

Returns

Tensor

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore
>>> input_x = mindspore.Parameter(mindspore.tensor([[0.0, 0.0, 0.0], [0.0, 0.0, 0.0]],
...                               mindspore.float32), name="x")
>>> indices = mindspore.tensor([[0, 1], [1, 1]], mindspore.int32)
>>> updates = mindspore.tensor([[[1.0, 1.0, 1.0], [3.0, 3.0, 3.0]],
...                            [[7.0, 7.0, 7.0], [9.0, 9.0, 9.0]]], mindspore.float32)
>>> output = mindspore.ops.scatter_add(input_x, indices, updates)
>>> print(output)
[[ 1.  1.  1.]
 [19. 19. 19.]]