tf.tensor_scatter_nd_max

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

View aliases

Compat aliases for migration

See Migration 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

Used in the guide
Introduction to 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 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.