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aliran tensor:: operasi:: ParameterizedTruncatedNormal
#include <random_ops.h> Menghasilkan nilai acak dari distribusi normal.
Ringkasan
Parameternya masing-masing dapat berupa a
skalar yang berlaku untuk seluruh keluaran, atau vektor dengan panjang [0] yang menyimpan parameter untuk setiap batch.
Argumen:
- ruang lingkup: Objek Lingkup
- bentuk : Bentuk tensor keluaran. Batch diindeks berdasarkan dimensi ke-0.
- berarti: Parameter rata-rata setiap batch.
- stdevs: Parameter deviasi standar setiap batch. Harus lebih besar dari 0.
- minvals: Batas minimum. Mungkin -tak terhingga.
- maxvals: Batas maksimum. Mungkin +tak terhingga, dan harus lebih dari minval untuk setiap batch.
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 : Matriks berbentuk num_batches x sampel_per_batch, diisi dengan nilai normal terpotong acak menggunakan parameter untuk setiap baris.
Konstruktor dan Destruktor |
|---|
ParameterizedTruncatedNormal (const :: tensorflow::Scope & scope, :: tensorflow::Input shape, :: tensorflow::Input means, :: tensorflow::Input stdevs, :: tensorflow::Input minvals, :: tensorflow::Input maxvals)
|
ParameterizedTruncatedNormal (const :: tensorflow::Scope & scope, :: tensorflow::Input shape, :: tensorflow::Input means, :: tensorflow::Input stdevs, :: tensorflow::Input minvals, :: tensorflow::Input maxvals, const ParameterizedTruncatedNormal::Attrs & attrs)
|
Fungsi statis publik |
|---|
Seed (int64 x) | |
Seed2 (int64 x) | |
Atribut publik
Fungsi publik
simpul
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Keluaran
operator::tensorflow::Output() const
Fungsi statis publik
Benih
Attrs Seed(
int64 x
)
Benih2
Attrs Seed2(
int64 x
)
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Terakhir diperbarui pada 2025-07-26 UTC.
[null,null,["Terakhir diperbarui pada 2025-07-26 UTC."],[],[],null,["# tensorflow::ops::ParameterizedTruncatedNormal Class Reference\n\ntensorflow::ops::ParameterizedTruncatedNormal\n=============================================\n\n`#include \u003crandom_ops.h\u003e`\n\nOutputs random values from a normal distribution.\n\nSummary\n-------\n\nThe parameters may each be a\n\nscalar which applies to the entire output, or a vector of length shape\\[0\\] which stores the parameters for each batch.\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- shape: The shape of the output tensor. Batches are indexed by the 0th dimension.\n- means: The mean parameter of each batch.\n- stdevs: The standard deviation parameter of each batch. Must be greater than 0.\n- minvals: The minimum cutoff. May be -infinity.\n- maxvals: The maximum cutoff. May be +infinity, and must be more than the minval for each batch.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/parameterized-truncated-normal/attrs#structtensorflow_1_1ops_1_1_parameterized_truncated_normal_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/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): A matrix of shape num_batches x samples_per_batch, filled with random truncated normal values using the parameters for each row.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ParameterizedTruncatedNormal](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1af8d4ae1d204cc4ef9a6361f11cbb90de)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` means, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` stdevs, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` minvals, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` maxvals)` ||\n| [ParameterizedTruncatedNormal](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1afd00b3375c16739bcc7f72c930c1f751)`(const ::`[tensorflow::Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` shape, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` means, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` stdevs, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` minvals, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` maxvals, const `[ParameterizedTruncatedNormal::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/parameterized-truncated-normal/attrs#structtensorflow_1_1ops_1_1_parameterized_truncated_normal_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1a3447014cf835b9d848b15705f2e11045) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1a87a77c67acb67f7dabb5cb5673ebb0d9) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|------------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1a9a37bcf56736b38f0eb696e4b39136dc)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1afb3d837950cf0d7cd289cdd5305d2144)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1aef7ad0f3b76382aa50451e91b459cac9)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Seed](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1a60be0f9d8ac8255d74a9c8d0a16ba1b6)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/parameterized-truncated-normal/attrs#structtensorflow_1_1ops_1_1_parameterized_truncated_normal_1_1_attrs) |\n| [Seed2](#classtensorflow_1_1ops_1_1_parameterized_truncated_normal_1a90dde5272c669275d2e05df64fdbc647)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/parameterized-truncated-normal/attrs#structtensorflow_1_1ops_1_1_parameterized_truncated_normal_1_1_attrs) |\n\n| ### Structs ||\n|------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ParameterizedTruncatedNormal::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/parameterized-truncated-normal/attrs) | Optional attribute setters for [ParameterizedTruncatedNormal](/versions/r1.15/api_docs/cc/class/tensorflow/ops/parameterized-truncated-normal#classtensorflow_1_1ops_1_1_parameterized_truncated_normal). |\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### ParameterizedTruncatedNormal\n\n```gdscript\n ParameterizedTruncatedNormal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input means,\n ::tensorflow::Input stdevs,\n ::tensorflow::Input minvals,\n ::tensorflow::Input maxvals\n)\n``` \n\n### ParameterizedTruncatedNormal\n\n```gdscript\n ParameterizedTruncatedNormal(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input shape,\n ::tensorflow::Input means,\n ::tensorflow::Input stdevs,\n ::tensorflow::Input minvals,\n ::tensorflow::Input maxvals,\n const ParameterizedTruncatedNormal::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```"]]
