tf.tensor_scatter_nd_max  |  TensorFlow v2.16.1 (original) (raw)

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

SeeMigration guide for more details.

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]

Used in the notebooks

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.