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tensorflow::
ops::
HistogramSummary
#include <logging_ops.h>
Outputs a
Summary
protocol buffer with a histogram.
Summary
The generated
`Summary`
has one summary value containing a histogram for
values
.
This op reports an
InvalidArgument
error if any value is not finite.
Args:
-
scope: A
Scope
object
-
tag: Scalar. Tag to use for the
Summary.Value
.
-
values:
Any
shape. Values to use to build the histogram.
Returns:
-
Output
: Scalar. Serialized
Summary
protocol buffer.
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 2021-05-14 UTC.
[null,null,["Last updated 2021-05-14 UTC."],[],[],null,["# tensorflow::ops::HistogramSummary Class Reference\n\ntensorflow::\nops::\nHistogramSummary\n===================================\n\n`\n#include \u003clogging_ops.h\u003e\n`\n\n\nOutputs a\n`\nSummary\n`\nprotocol buffer with a histogram.\n\nSummary\n-------\n\n\nThe generated\n[\\`Summary\\`](https://www.tensorflow.org/code/tensorflow/core/framework/summary.proto)\nhas one summary value containing a histogram for\n`\nvalues\n`\n.\n\n\nThis op reports an\n`\nInvalidArgument\n`\nerror if any value is not finite.\n\n\nArgs:\n\n- scope: A [Scope](/versions/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- tag: Scalar. Tag to use for the `\n Summary.Value\n ` .\n- values: [Any](/versions/r2.5/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\n\nReturns:\n\n- `\n `[Output](/versions/r2.5/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)`\n ` : Scalar. Serialized `\n Summary\n ` 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/r2.5/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, :: `[tensorflow::Input](/versions/r2.5/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` tag, :: `[tensorflow::Input](/versions/r2.5/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/r2.5/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)` ` |\n| ` `[summary](#classtensorflow_1_1ops_1_1_histogram_summary_1a96bffbe34e8235b5091ad78443e01e1f)` ` | ` :: `[tensorflow::Output](/versions/r2.5/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```"]]
