tf.raw_ops.ScatterNdMax

Computes element-wise maximum.

Compat aliases for migration

tf.compat.v1.raw_ops.ScatterNdMax

tf.raw_ops.ScatterNdMax(
    ref, indices, updates, use_locking=False, name=None
)

Args
`ref`	A mutable `Tensor`. Must be one of the following types: `float32`, `float64`, `int32`, `uint8`, `int16`, `int8`, `complex64`, `int64`, `qint8`, `quint8`, `qint32`, `bfloat16`, `uint16`, `complex128`, `half`, `uint32`, `uint64`. A mutable Tensor. Should be from a Variable node.
`indices`	A `Tensor`. Must be one of the following types: `int32`, `int64`. A Tensor. Must be one of the following types: int32, int64. A tensor of indices into ref.
`updates`	A `Tensor`. Must have the same type as `ref`. A Tensor. Must have the same type as ref. A tensor of updated values to add to ref.
`use_locking`	An optional `bool`. Defaults to `False`. An optional bool. Defaults to True. If True, the assignment will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.
`name`	A name for the operation (optional).

Returns
A mutable `Tensor`. Has the same type as `ref`.

© 2020 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r2.4/api_docs/python/tf/raw_ops/ScatterNdMax