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aliran tensor:: operasi:: Lebih Besar Sama
#include <math_ops.h> Mengembalikan nilai kebenaran (x >= y) berdasarkan elemen.
Ringkasan
CATATAN : GreaterEqual mendukung penyiaran. Lebih lanjut tentang penyiaran di sini
Contoh:
x = tf.constant([5, 4, 6, 7])
y = tf.constant([5, 2, 5, 10])
tf.math.greater_equal(x, y) ==> [True, True, True, False]
x = tf.constant([5, 4, 6, 7])
y = tf.constant([5])
tf.math.greater_equal(x, y) ==> [True, False, True, True]
Argumen:
Pengembalian:
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 2025-07-27 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-27 UTC."],[],[],null,["# tensorflow::ops::GreaterEqual Class Reference\n\ntensorflow::ops::GreaterEqual\n=============================\n\n`#include \u003cmath_ops.h\u003e`\n\nReturns the truth value of (x \\\u003e= y) element-wise.\n\nSummary\n-------\n\n*NOTE* : [GreaterEqual](/versions/r2.1/api_docs/cc/class/tensorflow/ops/greater-equal#classtensorflow_1_1ops_1_1_greater_equal) supports broadcasting. More about broadcasting [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)\n\nExample:\n\n\n```gdscript\nx = tf.constant([5, 4, 6, 7])\ny = tf.constant([5, 2, 5, 10])\ntf.math.greater_equal(x, y) ==\u003e [True, True, True, False]\n```\n\n\u003cbr /\u003e\n\n\n```gdscript\nx = tf.constant([5, 4, 6, 7])\ny = tf.constant([5])\ntf.math.greater_equal(x, y) ==\u003e [True, False, 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| [GreaterEqual](#classtensorflow_1_1ops_1_1_greater_equal_1a422da01235997e35361cdeadacfcb858)`(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\n| ### Public attributes ||\n|-------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_greater_equal_1ad9d8524d31876937cdc925404beb421a) | [Operation](/versions/r2.1/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [z](#classtensorflow_1_1ops_1_1_greater_equal_1a98fa5c18f2339bf35bcf89b4a579abb8) | `::`[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_greater_equal_1ac3af218d4a06bf958ad92483f2a4d552)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_greater_equal_1a3831b838de787044ec4c0c4dd06a5ef9)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_greater_equal_1ac818bdc95a7eed0f193f3a1d050bc4ab)`() const ` | ` ` ` ` |\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### GreaterEqual\n\n```gdscript\n GreaterEqual(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input x,\n ::tensorflow::Input y\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```"]]
