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aliran tensor:: operasi:: L2Kerugian
#include <nn_ops.h> L2 Kerugian.
Ringkasan
Menghitung setengah norma L2 tensor tanpa sqrt :
output = sum(t ** 2) / 2
Argumen:
- ruang lingkup: Objek Lingkup
- t: Biasanya 2-D, tetapi bisa memiliki dimensi apa pun.
Pengembalian:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::L2Loss Class Reference\n\ntensorflow::ops::L2Loss\n=======================\n\n`#include \u003cnn_ops.h\u003e`\n\nL2 Loss.\n\nSummary\n-------\n\nComputes half the L2 norm of a tensor without the `sqrt`: \n\n```scdoc\noutput = sum(t ** 2) / 2\n```\n\n\u003cbr /\u003e\n\nArguments:\n\n- scope: A [Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- t: Typically 2-D, but may have any dimensions.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): 0-D.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [L2Loss](#classtensorflow_1_1ops_1_1_l2_loss_1a595112ba30938b3d821dd5d7ade896ce)`(const ::`[tensorflow::Scope](/versions/r2.1/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` t)` ||\n\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_l2_loss_1aa4ef80dec6a4c63c50065b43a205ddff) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_l2_loss_1a9907900c49e78c512ba25a93c8737b42) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_l2_loss_1af18c04f060f27a407e1e906362251dd8)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_l2_loss_1a339da03f537d6b37b058d6ae58673673)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_l2_loss_1a190fdff9721343a1c2b604f9427463e4)`() 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### L2Loss\n\n```gdscript\n L2Loss(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input t\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```"]]
