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#include <random_ops.h>
Menghasilkan nilai acak dari distribusi seragam.
Ringkasan
Nilai yang dihasilkan mengikuti distribusi seragam dalam rentang [0, 1)
. Batas bawah 0 termasuk dalam rentang, sedangkan batas atas 1 dikecualikan.
Argumen:
- ruang lingkup: Objek Lingkup
- bentuk : Bentuk tensor keluaran.
- dtype: Jenis keluaran.
Atribut opsional (lihat Attrs
):
- seed: Jika salah satu
seed
atau seed2
disetel bukan nol, pembuat angka acak akan diunggulkan berdasarkan seed yang diberikan. Jika tidak, ia akan diunggulkan dengan benih acak. - seed2: Seed kedua untuk menghindari tabrakan seed.
Pengembalian:
-
Output
: Tensor dengan bentuk tertentu yang diisi dengan nilai acak seragam.
Fungsi statis publik |
---|
Seed (int64 x) | |
Seed2 (int64 x) | |
Atribut publik
Fungsi publik
Fungsi statis publik
Kecuali dinyatakan lain, konten di halaman ini dilisensikan berdasarkan Lisensi Creative Commons Attribution 4.0, sedangkan contoh kode dilisensikan berdasarkan Lisensi Apache 2.0. Untuk mengetahui informasi selengkapnya, lihat Kebijakan Situs Google Developers. Java adalah merek dagang terdaftar dari Oracle dan/atau afiliasinya.
Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::RandomUniform Class Reference\n\ntensorflow::ops::RandomUniform\n==============================\n\n`#include \u003crandom_ops.h\u003e`\n\nOutputs random values from a uniform distribution.\n\nSummary\n-------\n\nThe generated values follow a uniform distribution in the range `[0, 1)`. The lower bound 0 is included in the range, while the upper bound 1 is excluded.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.0/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: The shape of the output tensor.\n- dtype: The type of the output.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/random-uniform/attrs#structtensorflow_1_1ops_1_1_random_uniform_1_1_attrs)):\n\n- seed: If either `seed` or `seed2` are set to be non-zero, the random number generator is seeded by the given seed. Otherwise, it is seeded by a random seed.\n- seed2: A second seed to avoid seed collision.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.0/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A tensor of the specified shape filled with uniform random values.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [RandomUniform](#classtensorflow_1_1ops_1_1_random_uniform_1ad758763396f811e3da060a04692f3757)`(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)` shape, DataType dtype)` ||\n| [RandomUniform](#classtensorflow_1_1ops_1_1_random_uniform_1af801ace5d9f1abc9d79f7faa85b91be1)`(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)` shape, DataType dtype, const `[RandomUniform::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/random-uniform/attrs#structtensorflow_1_1ops_1_1_random_uniform_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_random_uniform_1a48b146cd2bbea78fcf781a469864ef5b) | [Operation](/versions/r2.0/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_random_uniform_1a54d90aa9b91d5e835309793ec96a7c8c) | `::`[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_random_uniform_1ad3b4ee570c67616fea7d0670af60cc64)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_random_uniform_1ab00525e4be653b53523769acea109196)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_random_uniform_1ac3f462ba3c34c4b0d7c759eb376e778c)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|---------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------|\n| [Seed](#classtensorflow_1_1ops_1_1_random_uniform_1a73a0bbeaa8d9935acb48c58b8b636644)`(int64 x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/random-uniform/attrs#structtensorflow_1_1ops_1_1_random_uniform_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_random_uniform_1a4821471eea8691d99ec491eef1aedd06)`(int64 x)` | [Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/random-uniform/attrs#structtensorflow_1_1ops_1_1_random_uniform_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::RandomUniform::Attrs](/versions/r2.0/api_docs/cc/struct/tensorflow/ops/random-uniform/attrs) | Optional attribute setters for [RandomUniform](/versions/r2.0/api_docs/cc/class/tensorflow/ops/random-uniform#classtensorflow_1_1ops_1_1_random_uniform). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### output\n\n```text\n::tensorflow::Output output\n``` \n\nPublic functions\n----------------\n\n### RandomUniform\n\n```gdscript\n RandomUniform(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n DataType dtype\n)\n``` \n\n### RandomUniform\n\n```gdscript\n RandomUniform(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n DataType dtype,\n const RandomUniform::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### Seed\n\n```text\nAttrs Seed(\n int64 x\n)\n``` \n\n### Seed2\n\n```text\nAttrs Seed2(\n int64 x\n)\n```"]]