[null,null,["Last updated 2020-04-20 UTC."],[],[],null,["# tensorflow::ops::SegmentMean Class Reference\n\ntensorflow::ops::SegmentMean\n============================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the mean along segments of a tensor.\n\nSummary\n-------\n\nRead [the section on segmentation](https://tensorflow.org/api_docs/python/tf/math#Segmentation) for an explanation of segments.\n\nComputes a tensor such that \\\\(output_i = { data_j}{N}\\\\) where `mean` is over `j` such that `segment_ids[j] == i` and `N` is the total number of values summed.\n\nIf the mean is empty for a given segment ID `i`, `output[i] = 0`.\n\n\n\u003cbr /\u003e\n\nFor example:\n\n\n```gdscript\nc = tf.constant([[1.0,2,3,4], [4, 3, 2, 1], [5,6,7,8]])\ntf.segment_mean(c, tf.constant([0, 0, 1]))\n# ==\u003e [[2.5, 2.5, 2.5, 2.5],\n# [5, 6, 7, 8]]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- segment_ids: A 1-D tensor whose size is equal to the size of `data`'s first dimension. Values should be sorted and can be repeated.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Has same shape as data, except for dimension 0 which has size `k`, the number of segments.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SegmentMean](#classtensorflow_1_1ops_1_1_segment_mean_1a9fc798114162e49ca1a2e3be55c67c4e)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` data, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_segment_mean_1ab33c7bc6ed3ae2192796a60aa4e2603d) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_segment_mean_1a64036d8ee48b0555a734f063c8b5e21e) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_segment_mean_1a9a1dd3986731336496132e50f5882bfd)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_segment_mean_1a4555ae396508ae3dd5a91c67b3f7d8f4)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_segment_mean_1a5a63b16dc3408efa63a3d07570c08783)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### SegmentMean\n\n```gdscript\n SegmentMean(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input data,\n ::tensorflow::Input segment_ids\n)\n``` \n\n### node\n\n```gdscript\n::tensorflow::Node * node() const \n``` \n\n### operator::tensorflow::Input\n\n```gdscript\n operator::tensorflow::Input() const \n``` \n\n### operator::tensorflow::Output\n\n```gdscript\n operator::tensorflow::Output() const \n```"]]
