Apply a sparse update to a tensor taking the element-wise maximum. #### View aliases **Compat aliases for migration** See [Migration guide](https://www.tensorflow.org/guide/migrate) for more details. [`tf.compat.v1.tensor_scatter_nd_max`](https://www.tensorflow.org/api_docs/python/tf/tensor_scatter_nd_max)
tf.tensor_scatter_nd_max( tensor: Annotated[Any, TV_TensorScatterMax_T], indices: Annotated[Any, TV_TensorScatterMax_Tindices], updates: Annotated[Any, TV_TensorScatterMax_T], bad_indices_policy: str = '', name=None ) -> Annotated[Any, TV_TensorScatterMax_T] ### Used in the notebooks | Used in the guide | |---| | - [Introduction to tensor slicing](https://www.tensorflow.org/guide/tensor_slicing) | Returns a new tensor copied from `tensor` whose values are element-wise maximum between tensor and updates according to the indices. tensor = [0, 0, 0, 0, 0, 0, 0, 0] indices = [[1], [4], [5]] updates = [1, -1, 1] tf.tensor_scatter_nd_max(tensor, indices, updates).numpy() array([0, 1, 0, 0, 0, 1, 0, 0], dtype=int32) Refer to [`tf.tensor_scatter_nd_update`](https://www.tensorflow.org/api_docs/python/tf/tensor_scatter_nd_update) for more details.


| ## Args || |---|---| | `tensor` | A `Tensor`. Tensor to update. | | `indices` | A `Tensor`. Must be one of the following types: `int32`, `int64`. Index tensor. | | `updates` | A `Tensor`. Must have the same type as `tensor`. Updates to scatter into output. | | `bad_indices_policy` | An optional `string`. Defaults to `""`. | | `name` | A name for the operation (optional). |



| ## Returns || |---|---| | A `Tensor`. Has the same type as `tensor`. ||