جریان تنسور:: عملیات:: ResourceApplyAdamWithAmsgrad
#include <training_ops.h>"*var" را طبق الگوریتم Adam به روز کنید.
خلاصه
$$lr_t := {learning_rate} * {1 - beta_2^t} / (1 - beta_1^t)$$ $$m_t := beta_1 * m_{t-1} + (1 - beta_1) * g$$ $$v_t := beta_2 * v_{t-1} + (1 - beta_2) * g * g$$ $$vhat_t := max{vhat_{t-1}, v_t}$$ $$variable := variable - lr_t * m_t / ({vhat_t} + )$$
استدلال ها:
- scope: یک شی Scope
- var: باید از یک متغیر () باشد.
- m: باید از یک متغیر () باشد.
- v: باید از یک متغیر () باشد.
- vhat: باید از یک متغیر () باشد.
- beta1_power: باید اسکالر باشد.
- beta2_power: باید اسکالر باشد.
- lr: ضریب مقیاس. باید اسکالر باشد.
- beta1: عامل حرکت. باید اسکالر باشد.
- بتا2: عامل حرکت. باید اسکالر باشد.
- اپسیلون: اصطلاح ریج. باید اسکالر باشد.
- grad: گرادیان.
ویژگی های اختیاری (به Attrs مراجعه کنید):
- use_locking: اگر
True، به‌روزرسانی تانسورهای var، m و v توسط یک قفل محافظت می‌شود. در غیر این صورت رفتار تعریف نشده است، اما ممکن است اختلاف کمتری از خود نشان دهد.
برمی گرداند:
-
Operationایجاد شده
سازندگان و ویرانگرها | |
|---|---|
ResourceApplyAdamWithAmsgrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input vhat, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad) | |
ResourceApplyAdamWithAmsgrad (const :: tensorflow::Scope & scope, :: tensorflow::Input var, :: tensorflow::Input m, :: tensorflow::Input v, :: tensorflow::Input vhat, :: tensorflow::Input beta1_power, :: tensorflow::Input beta2_power, :: tensorflow::Input lr, :: tensorflow::Input beta1, :: tensorflow::Input beta2, :: tensorflow::Input epsilon, :: tensorflow::Input grad, const ResourceApplyAdamWithAmsgrad::Attrs & attrs) |
صفات عمومی | |
|---|---|
operation | |
توابع عمومی | |
|---|---|
operator::tensorflow::Operation () const | |
توابع استاتیک عمومی | |
|---|---|
UseLocking (bool x) | |
سازه ها | |
|---|---|
| tensorflow:: ops:: ResourceApplyAdamWithAmsgrad:: Attrs | تنظیم کننده های ویژگی اختیاری برای ResourceApplyAdamWithAmsgrad . |
صفات عمومی
عملیات
Operation operation
توابع عمومی
ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad )
ResourceApplyAdamWithAmsgrad
ResourceApplyAdamWithAmsgrad( const ::tensorflow::Scope & scope, ::tensorflow::Input var, ::tensorflow::Input m, ::tensorflow::Input v, ::tensorflow::Input vhat, ::tensorflow::Input beta1_power, ::tensorflow::Input beta2_power, ::tensorflow::Input lr, ::tensorflow::Input beta1, ::tensorflow::Input beta2, ::tensorflow::Input epsilon, ::tensorflow::Input grad, const ResourceApplyAdamWithAmsgrad::Attrs & attrs )
عملگر::tensorflow::عملیات
operator::tensorflow::Operation() const
توابع استاتیک عمومی
استفاده از قفل
Attrs UseLocking( bool x )
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تاریخ آخرین به‌روزرسانی 2025-07-26 بهوقت ساعت هماهنگ جهانی.
[null,null,["تاریخ آخرین به‌روزرسانی 2025-07-26 بهوقت ساعت هماهنگ جهانی."],[],[],null,["# tensorflow::ops::ResourceApplyAdamWithAmsgrad Class Reference\n\ntensorflow::ops::ResourceApplyAdamWithAmsgrad\n=============================================\n\n`#include \u003ctraining_ops.h\u003e`\n\nUpdate '\\*var' according to the Adam algorithm.\n\nSummary\n-------\n\n$$lr_t := {learning_rate} \\* {1 - beta_2\\^t} / (1 - beta_1\\^t)$$ $$m_t := beta_1 \\* m_{t-1} + (1 - beta_1) \\* g$$ $$v_t := beta_2 \\* v_{t-1} + (1 - beta_2) \\* g \\* g$$ $$vhat_t := max{vhat_{t-1}, v_t}$$ $$variable := variable - lr_t \\* m_t / ({vhat_t} + )$$\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- var: Should be from a Variable().\n- m: Should be from a Variable().\n- v: Should be from a Variable().\n- vhat: Should be from a Variable().\n- beta1_power: Must be a scalar.\n- beta2_power: Must be a scalar.\n- lr: Scaling factor. Must be a scalar.\n- beta1: Momentum factor. Must be a scalar.\n- beta2: Momentum factor. Must be a scalar.\n- epsilon: Ridge term. Must be a scalar.\n- grad: The gradient.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adam-with-amsgrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1_1_attrs)):\n\n- use_locking: If `True`, updating of the var, m, and v tensors will be protected by a lock; otherwise the behavior is undefined, but may exhibit less contention.\n\n\u003cbr /\u003e\n\nReturns:\n\n- the created [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation)\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [ResourceApplyAdamWithAmsgrad](#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1a76c2fd9a089e3d00f1c5efc4948dcfa8)`(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)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` m, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` v, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` vhat, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta1_power, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta2_power, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta1, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta2, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad)` ||\n| [ResourceApplyAdamWithAmsgrad](#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1a875458300576d2e270cddcffa71e079c)`(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)` var, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` m, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` v, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` vhat, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta1_power, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta2_power, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` lr, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta1, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` beta2, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` epsilon, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` grad, const `[ResourceApplyAdamWithAmsgrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adam-with-amsgrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1a56a6e586ba373ea479c1ec80ebdbb5fa) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public functions ||\n|-----------------------------------------------------------------------------------------------------------------------------------------------|---------|\n| [operator::tensorflow::Operation](#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1a8171cbe4e65ce2472e54d8cf14349a6d)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [UseLocking](#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1a86eb3692613e7db3ca54090c9f22c353)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adam-with-amsgrad/attrs#structtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::ResourceApplyAdamWithAmsgrad::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/resource-apply-adam-with-amsgrad/attrs) | Optional attribute setters for [ResourceApplyAdamWithAmsgrad](/versions/r1.15/api_docs/cc/class/tensorflow/ops/resource-apply-adam-with-amsgrad#classtensorflow_1_1ops_1_1_resource_apply_adam_with_amsgrad). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### ResourceApplyAdamWithAmsgrad\n\n```gdscript\n ResourceApplyAdamWithAmsgrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input v,\n ::tensorflow::Input vhat,\n ::tensorflow::Input beta1_power,\n ::tensorflow::Input beta2_power,\n ::tensorflow::Input lr,\n ::tensorflow::Input beta1,\n ::tensorflow::Input beta2,\n ::tensorflow::Input epsilon,\n ::tensorflow::Input grad\n)\n``` \n\n### ResourceApplyAdamWithAmsgrad\n\n```gdscript\n ResourceApplyAdamWithAmsgrad(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input var,\n ::tensorflow::Input m,\n ::tensorflow::Input v,\n ::tensorflow::Input vhat,\n ::tensorflow::Input beta1_power,\n ::tensorflow::Input beta2_power,\n ::tensorflow::Input lr,\n ::tensorflow::Input beta1,\n ::tensorflow::Input beta2,\n ::tensorflow::Input epsilon,\n ::tensorflow::Input grad,\n const ResourceApplyAdamWithAmsgrad::Attrs & attrs\n)\n``` \n\n### operator::tensorflow::Operation\n\n```gdscript\n operator::tensorflow::Operation() const \n``` \n\nPublic static functions\n-----------------------\n\n### UseLocking\n\n```text\nAttrs UseLocking(\n bool x\n)\n```"]]