mindspore.ops.ScatterNdAdd
- class mindspore.ops.ScatterNdAdd(use_locking=False)[source]
Applies sparse addition to individual values or slices in a tensor.
Using given values to update tensor value through the add operation, along with the input indices. This operation outputs the input_x after the update is done, which makes it convenient to use the updated value.
Refer to
mindspore.ops.scatter_nd_add()
for more detail.- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> from mindspore.ops.operations.array_ops import ScatterNdAdd >>> input_x = Parameter(Tensor(np.array([1, 2, 3, 4, 5, 6, 7, 8]), mindspore.float32), name="x") >>> indices = Tensor(np.array([[2], [4], [1], [7]]), mindspore.int32) >>> updates = Tensor(np.array([6, 7, 8, 9]), mindspore.float32) >>> use_locking = False >>> scatter_nd_add = ScatterNdAdd(use_locking) >>> output = scatter_nd_add(input_x, indices, updates) >>> print(output) [ 1. 10. 9. 4. 12. 6. 7. 17.] >>> input_x = Parameter(Tensor(np.zeros((4, 4, 4)), mindspore.int32)) >>> indices = Tensor(np.array([[0], [2]]), mindspore.int32) >>> updates = Tensor(np.array([[[1, 1, 1, 1], [2, 2, 2, 2], [3, 3, 3, 3], [4, 4, 4, 4]], ... [[5, 5, 5, 5], [6, 6, 6, 6], [7, 7, 7, 7], [8, 8, 8, 8]]]), mindspore.int32) >>> use_locking = False >>> scatter_nd_add = ScatterNdAdd(use_locking) >>> output = scatter_nd_add(input_x, indices, updates) >>> print(output) [[[1 1 1 1] [2 2 2 2] [3 3 3 3] [4 4 4 4]] [[0 0 0 0] [0 0 0 0] [0 0 0 0] [0 0 0 0]] [[5 5 5 5] [6 6 6 6] [7 7 7 7] [8 8 8 8]] [[0 0 0 0] [0 0 0 0] [0 0 0 0] [0 0 0 0]]]