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tensorflow::ops::SegmentSumV2
#include <math_ops.h>
Computes the sum along segments of a tensor.
Summary
Read the section on segmentation for an explanation of segments.
Computes a tensor such that \(output_i = \sum_j data_j\) where sum is over j such that segment_ids[j] == i.
If the sum is empty for a given segment ID i, output[i] = 0.
Note that this op is currently only supported with jit_compile=True.
Args:
- scope: A Scope object
- 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. The values must be less than num_segments.
Caution: The values are always validated to be sorted on CPU, never validated on GPU.
Returns:
Output: Has same shape as data, except for the first segment_ids.rank dimensions, which are replaced with a single dimension which has size num_segments.
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
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Last updated 2023-03-23 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-03-23 UTC."],[],[],null,["# tensorflow::ops::SegmentSumV2 Class Reference\n\ntensorflow::ops::SegmentSumV2\n=============================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the sum 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 = \\\\sum_j data_j\\\\) where sum is over `j` such that `segment_ids[j] == i`.\n\nIf the sum is empty for a given segment ID `i`, `output[i] = 0`.\n\nNote that this op is currently only supported with jit_compile=True.\n\nArgs:\n\n- scope: A [Scope](/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. The values must be less than `num_segments`.\n\n\u003cbr /\u003e\n\nCaution: The values are always validated to be sorted on CPU, never validated on GPU.\n\nReturns:\n\n- [Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Has same shape as data, except for the first `segment_ids.rank` dimensions, which are replaced with a single dimension which has size `num_segments`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [SegmentSumV2](#classtensorflow_1_1ops_1_1_segment_sum_v2_1ab0b3d08f26a526925b7419691cf9567e)`(const ::`[tensorflow::Scope](/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` data, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` segment_ids, ::`[tensorflow::Input](/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` num_segments)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_segment_sum_v2_1af02321fbf8d10718be068c65d4923924) | [Operation](/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_segment_sum_v2_1a8b2f8d17b47b6d51499cb15f6da93b62) | `::`[tensorflow::Output](/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_segment_sum_v2_1a1e3329f6142d66551c53e132491cb06c)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_segment_sum_v2_1aba4391e5dc0a26711f9f0e237bcd4260)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_segment_sum_v2_1a3c4e56b12d511c9650fbb946aa80e528)`() 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### SegmentSumV2\n\n```gdscript\n SegmentSumV2(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input data,\n ::tensorflow::Input segment_ids,\n ::tensorflow::Input num_segments\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```"]]
