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aliran tensor:: operasi:: LogSoftmax
#include <nn_ops.h> Menghitung aktivasi log softmax.
Ringkasan
Untuk setiap angkatan i dan kelas j yang kami miliki
logsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))
Argumen:
- ruang lingkup: Objek Lingkup
- logits: 2-D dengan bentuk
[batch_size, num_classes] .
Pengembalian:
-
Output : Bentuknya sama dengan logits .
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::LogSoftmax Class Reference\n\ntensorflow::ops::LogSoftmax\n===========================\n\n`#include \u003cnn_ops.h\u003e`\n\nComputes log softmax activations.\n\nSummary\n-------\n\nFor each batch `i` and class `j` we have \n\n```transact-sql\nlogsoftmax[i, j] = logits[i, j] - log(sum(exp(logits[i])))\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- logits: 2-D with shape `[batch_size, num_classes]`.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Same shape as `logits`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [LogSoftmax](#classtensorflow_1_1ops_1_1_log_softmax_1a73483652ac6fcd6e2162f224c5459235)`(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)` logits)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [logsoftmax](#classtensorflow_1_1ops_1_1_log_softmax_1aaa7ca17002b410b0a6992c5f604a13a6) | `::`[tensorflow::Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_log_softmax_1acb2eb968de24da07c71196bfd2da5e36) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_log_softmax_1a1ef7bed8e2017ceda2891e1568c32072)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_log_softmax_1ae15a3807bd29485ca7e6c0a0408bd656)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_log_softmax_1a38da28934ec15aab2813d6d074a25386)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### logsoftmax\n\n```text\n::tensorflow::Output logsoftmax\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### LogSoftmax\n\n```gdscript\n LogSoftmax(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input logits\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```"]]
