Computes the minimum of elements across dimensions of a tensor.

tf.raw_ops.Min( input, axis, keep_dims=False, name=None )

Reduces `input`

along the dimensions given in `axis`

. Unless `keep_dims`

is true, the rank of the tensor is reduced by 1 for each entry in `axis`

. If `keep_dims`

is true, the reduced dimensions are retained with length 1.

Args | |
---|---|

`input` | A `Tensor` . Must be one of the following types: `float32` , `float64` , `int32` , `uint8` , `int16` , `int8` , `int64` , `bfloat16` , `uint16` , `half` , `uint32` , `uint64` , `qint8` , `quint8` , `qint32` , `qint16` , `quint16` . The tensor to reduce. |

`axis` | A `Tensor` . Must be one of the following types: `int32` , `int64` . The dimensions to reduce. Must be in the range `[-rank(input), rank(input))` . |

`keep_dims` | An optional `bool` . Defaults to `False` . If true, retain reduced dimensions with length 1. |

`name` | A name for the operation (optional). |

Returns | |
---|---|

A `Tensor` . Has the same type as `input` . |

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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/Min