Computes element-wise minimum.

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

Args | |
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`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 | |
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A mutable `Tensor` . Has the same type as `ref` . |

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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/ScatterNdMin