tf.tensor_scatter_nd_max
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Apply a sparse update to a tensor taking the element-wise maximum.

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Compat aliases for migration

tf.compat.v1.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],
    name=None
) -> Annotated[Any, TV_TensorScatterMax_T]

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 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.
`name`	A name for the operation (optional).

Returns
A `Tensor`. Has the same type as `tensor`.

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tf.tensor_scatter_nd_max
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