সেভ করা পৃষ্ঠা গুছিয়ে রাখতে 'সংগ্রহ' ব্যবহার করুন
আপনার পছন্দ অনুযায়ী কন্টেন্ট সেভ করুন ও সঠিক বিভাগে রাখুন।
টেনসরফ্লো :: অপস:: আনুমানিক সমান
#include <math_ops.h>
abs(xy) < সহনশীলতা উপাদান অনুযায়ী সত্য মান প্রদান করে।
সারাংশ
যুক্তি:
- স্কোপ: একটি স্কোপ অবজেক্ট
রিটার্ন:
পাবলিক বৈশিষ্ট্য
পাবলিক ফাংশন
নোড
::tensorflow::Node * node() const
operator::tensorflow::Input() const
অপারেটর::টেনসরফ্লো::আউটপুট
operator::tensorflow::Output() const
পাবলিক স্ট্যাটিক ফাংশন
সহনশীলতা
Attrs Tolerance(
float x
)
অন্য কিছু উল্লেখ না করা থাকলে, এই পৃষ্ঠার কন্টেন্ট Creative Commons Attribution 4.0 License-এর অধীনে এবং কোডের নমুনাগুলি Apache 2.0 License-এর অধীনে লাইসেন্স প্রাপ্ত। আরও জানতে, Google Developers সাইট নীতি দেখুন। Java হল Oracle এবং/অথবা তার অ্যাফিলিয়েট সংস্থার রেজিস্টার্ড ট্রেডমার্ক।
2025-07-26 UTC-তে শেষবার আপডেট করা হয়েছে।
[null,null,["2025-07-26 UTC-তে শেষবার আপডেট করা হয়েছে।"],[],[],null,["# tensorflow::ops::ApproximateEqual Class Reference\n\ntensorflow::ops::ApproximateEqual\n=================================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the truth value of abs(x-y) \\\u003c tolerance element-wise.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ApproximateEqual](#classtensorflow_1_1ops_1_1_approximate_equal_1ae34557dc105fbbef2d26f6d0bdbabc2c)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y)` ||\n| [ApproximateEqual](#classtensorflow_1_1ops_1_1_approximate_equal_1a23edb14e02d1b083b8e3efa5ead76d2d)`(const ::`[tensorflow::Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` x, ::`[tensorflow::Input](/versions/r2.0/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y, const `[ApproximateEqual::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/approximate-equal/attrs#structtensorflow_1_1ops_1_1_approximate_equal_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_approximate_equal_1af517cf6c2807f3c6586facbf69cd0e68) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_approximate_equal_1a6c1780e5aa185b3b2cfd7887a1998b40) | `::`[tensorflow::Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_approximate_equal_1a4b6e63d06e21bb282c973aeae6961973)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_approximate_equal_1a47f092973d15a439df6a78d04f1a313f)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_approximate_equal_1a587da19cc92bc9474ace6fdd911e4610)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------|\n| [Tolerance](#classtensorflow_1_1ops_1_1_approximate_equal_1a97ed9ba462b24ea8bad2bcc2ba45d999)`(float x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/approximate-equal/attrs#structtensorflow_1_1ops_1_1_approximate_equal_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ApproximateEqual::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/approximate-equal/attrs) | Optional attribute setters for [ApproximateEqual](/versions/r2.0/api_docs/cc/class/tensorflow/ops/approximate-equal#classtensorflow_1_1ops_1_1_approximate_equal). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### z\n\n```text\n::tensorflow::Output z\n``` \n\nPublic functions\n----------------\n\n### ApproximateEqual\n\n```gdscript\n ApproximateEqual(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\n)\n``` \n\n### ApproximateEqual\n\n```gdscript\n ApproximateEqual(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y,\n const ApproximateEqual::Attrs & attrs\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``` \n\nPublic static functions\n-----------------------\n\n### Tolerance\n\n```text\nAttrs Tolerance(\n float x\n)\n```"]]