segment_ids : un tenseur 1D dont la taille est égale à la taille de la première dimension de data . Les valeurs doivent être triées et peuvent être répétées.
Retours :
Output : A la même forme que les données, sauf pour la dimension 0 qui a la taille k , le nombre de segments.
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Dernière mise à jour le 2025/07/26 (UTC).
[null,null,["Dernière mise à jour le 2025/07/26 (UTC)."],[],[],null,["# tensorflow::ops::SegmentMin Class Reference\n\ntensorflow::ops::SegmentMin\n===========================\n\n`#include \u003cmath_ops.h\u003e`\n\nComputes the minimum 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)\\\\) where `min` is over `j` such that `segment_ids[j] == i`.\n\nIf the min 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([[1,2,3,4], [4, 3, 2, 1], [5,6,7,8]])\ntf.segment_min(c, tf.constant([0, 0, 1]))\n# ==\u003e [[1, 2, 2, 1],\n# [5, 6, 7, 8]]\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.3/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/r2.3/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| [SegmentMin](#classtensorflow_1_1ops_1_1_segment_min_1a3012dce1d5e46fd538083a4543420a89)`(const ::`[tensorflow::Scope](/versions/r2.3/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.3/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` data, ::`[tensorflow::Input](/versions/r2.3/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_min_1a1dd3ab9be4244f9e51ee31f1249735ff) | [Operation](/versions/r2.3/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_segment_min_1aa79a959666dedb9e81ae623ed8ba28a8) | `::`[tensorflow::Output](/versions/r2.3/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_segment_min_1a0315622df52ece6431d28d99520c1eef)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_segment_min_1aa2819b4005543663b84fe92fcbbec66a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_segment_min_1a479837a013d764ff8d54553f71f32b83)`() 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### SegmentMin\n\n```gdscript\n SegmentMin(\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```"]]
