mindspore.ops.TensorScatterAdd
- class mindspore.ops.TensorScatterAdd[source]
Creates a new tensor by adding the values from the positions in input_x indicated by indices, with values from updates. When multiple values are given for the same index, the updated result will be the sum of all values. This operation is almost equivalent to using
mindspore.ops.ScatterNdAdd
, except that the updates are applied on output Tensor instead of input Parameter.Refer to
mindspore.ops.tensor_scatter_add()
for more details.- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> input_x = Tensor(np.array([[-0.1, 0.3, 3.6], [0.4, 0.5, -3.2]]), mindspore.float32) >>> indices = Tensor(np.array([[0, 0], [0, 0]]), mindspore.int32) >>> updates = Tensor(np.array([1.0, 2.2]), mindspore.float32) >>> # Next, demonstrate the approximate operation process of this operator: >>> # 1, indices[0] = [0, 0], indices[1] = [0, 0] >>> # 2, And input_x[0, 0] = -0.1 >>> # 3, So input_x[indices] = [-0.1, -0.1] >>> # 4, Satisfy the above formula: input_x[indices].shape=(2) == updates.shape=(2) >>> op = ops.TensorScatterAdd() >>> # 5, Perform the addition operation for the first time: >>> # first_input_x = input_x[0][0] + updates[0] = [[0.9, 0.3, 3.6], [0.4, 0.5, -3.2]] >>> # 6, Perform the addition operation for the second time: >>> # second_input_x = input_x[0][0] + updates[1] = [[3.1, 0.3, 3.6], [0.4, 0.5, -3.2]] >>> output = op(input_x, indices, updates) >>> print(output) [[ 3.1 0.3 3.6] [ 0.4 0.5 -3.2]]