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aliran tensor:: operasi:: Setara
#include <math_ops.h>
Mengembalikan nilai kebenaran (x == y) berdasarkan elemen.
Ringkasan
CATATAN : Equal
mendukung penyiaran. Lebih lanjut tentang penyiaran di sini
x = tf.constant([2, 4])
y = tf.constant(2)
tf.math.equal(x, y) ==> array([True, False])
x = tf.constant([2, 4])
y = tf.constant([2, 4])
tf.math.equal(x, y) ==> array([True, True])
Argumen:
Pengembalian:
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
BentukTidak Kompatibel
Attrs IncompatibleShapeError(
bool x
)
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Terakhir diperbarui pada 2025-07-25 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-25 UTC."],[],[],null,["# tensorflow::ops::Equal Class Reference\n\ntensorflow::ops::Equal\n======================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the truth value of (x == y) element-wise.\n\nSummary\n-------\n\n*NOTE* : [Equal](/versions/r2.1/api_docs/cc/class/tensorflow/ops/equal#classtensorflow_1_1ops_1_1_equal) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\n\n```gdscript\nx = tf.constant([2, 4])\ny = tf.constant(2)\ntf.math.equal(x, y) ==\u003e array([True, False])\n```\n\n\u003cbr /\u003e\n\n\n```gdscript\nx = tf.constant([2, 4])\ny = tf.constant([2, 4])\ntf.math.equal(x, y) ==\u003e array([True, True])\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\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.1/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The z tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [Equal](#classtensorflow_1_1ops_1_1_equal_1a71df1d727899d9748a710214e9643ae4)`(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)` x, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y)` ||\n| [Equal](#classtensorflow_1_1ops_1_1_equal_1a6de2f17f741ab89eee7bb268fa5a00cb)`(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)` x, ::`[tensorflow::Input](/versions/r2.1/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` y, const `[Equal::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/equal/attrs#structtensorflow_1_1ops_1_1_equal_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_equal_1a47c6893382f9747ebc851ee095e680df) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_equal_1af7bbce811e57c82c34bd390f377fbbf5) | `::`[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_equal_1a815a2eaa20ab636416bdc6c81c504d01)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_equal_1a54b4b003cfdb637811b2b384ae9333eb)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_equal_1a92922d4aec5aedb26c6abfcff968a304)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------|\n| [IncompatibleShapeError](#classtensorflow_1_1ops_1_1_equal_1aff7de7b3ec11004e350cfa8bedfcde9d)`(bool x)` | [Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/equal/attrs#structtensorflow_1_1ops_1_1_equal_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::Equal::Attrs](/versions/r2.1/api_docs/cc/struct/tensorflow/ops/equal/attrs) | Optional attribute setters for [Equal](/versions/r2.1/api_docs/cc/class/tensorflow/ops/equal#classtensorflow_1_1ops_1_1_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### Equal\n\n```gdscript\n Equal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\n)\n``` \n\n### Equal\n\n```gdscript\n Equal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y,\n const Equal::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### IncompatibleShapeError\n\n```text\nAttrs IncompatibleShapeError(\n bool x\n)\n```"]]