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aliran tensor:: operasi:: Ringkasan Histogram
#include <logging_ops.h> Menghasilkan buffer protokol Summary dengan histogram.
Ringkasan
`Ringkasan` yang dihasilkan memiliki satu nilai ringkasan yang berisi histogram untuk values .
Operasi ini melaporkan kesalahan InvalidArgument jika ada nilai yang tidak terbatas.
Argumen:
- ruang lingkup: Objek Lingkup
- tag: Skalar. Tag yang akan digunakan untuk
Summary.Value . - nilai: Bentuk apa pun . Nilai yang digunakan untuk membangun histogram.
Pengembalian:
-
Output : Skalar. Buffer protokol Summary Berseri.
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::HistogramSummary Class Reference\n\ntensorflow::ops::HistogramSummary\n=================================\n\n`#include \u003clogging_ops.h\u003e`\n\nOutputs a `Summary` protocol buffer with a histogram.\n\nSummary\n-------\n\nThe generated [\\`Summary\\`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto) has one summary value containing a histogram for `values`.\n\nThis op reports an `InvalidArgument` error if any value is not finite.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- tag: Scalar. Tag to use for the `Summary.Value`.\n- values: [Any](/versions/r1.15/api_docs/cc/class/tensorflow/ops/any#classtensorflow_1_1ops_1_1_any) shape. Values to use to build the histogram.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): Scalar. Serialized `Summary` protocol buffer.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [HistogramSummary](#classtensorflow_1_1ops_1_1_histogram_summary_1aaab802eb624b382eb005e34e3ada6d10)`(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)` tag, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` values)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_histogram_summary_1a7f612489c63d540365a108d7200ea648) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [summary](#classtensorflow_1_1ops_1_1_histogram_summary_1a96bffbe34e8235b5091ad78443e01e1f) | `::`[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_histogram_summary_1a6c06cc9d888d66d900b23529d4fdf343)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_histogram_summary_1aae75ef126ce566342f0b0053dd71a25a)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_histogram_summary_1a14a995ac4e19bf7348659ef7f3f66306)`() const ` | ` ` ` ` |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### summary\n\n```text\n::tensorflow::Output summary\n``` \n\nPublic functions\n----------------\n\n### HistogramSummary\n\n```gdscript\n HistogramSummary(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input tag,\n ::tensorflow::Input values\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```"]]
