tf.raw_ops.TensorScatterMax
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Apply a sparse update to a tensor taking the element-wise maximum.
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tf.compat.v1.raw_ops.TensorScatterMax
tf.raw_ops.TensorScatterMax(
tensor, indices, updates, name=None
)
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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Last updated 2024-01-23 UTC.
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