mindspore.ops.tensor_scatter_div

mindspore.ops.tensor_scatter_div(input_x, indices, updates)[source]

mindspore.ops.tensor_scatter_div is deprecated from version 2.9.0 and will be removed in a future version.

Return a new tensor in which input_x is divided by the values from updates indicated by indices .

\[output\left [indices \right ] = input\_x \div updates\]

Note

On GPU, if some values of the indices are out of bounds, instead of raising an index error, the corresponding updates will not be updated to self tensor.
On CPU, if some values of the indices are out of bounds, an index error will be raised.
On Ascend, out of bounds checking is not supported, if some values of the indices are out of bounds, unknown errors may be caused.
The operator can't handle division by 0 exceptions, so the user needs to make sure there is no 0 value in updates.

Parameters:

input_x (Tensor) – The input tensor.
indices (Tensor) – The specified indices.
updates (Tensor) – The update values.

Returns:

Tensor

Supported Platforms:: Deprecated

Examples

>>> import mindspore
>>> input_x = mindspore.tensor([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]], mindspore.float32)
>>> indices = mindspore.tensor([[0, 0], [0, 0]], mindspore.int32)
>>> updates = mindspore.tensor([1.0, 2.0], mindspore.float32)
>>> output = mindspore.ops.tensor_scatter_div(input_x, indices, updates)
>>> print(output)
[[-0.05  0.3  3.6  ]
 [ 0.4   0.5  -3.2 ]]