tensorflow:: אופס:: FakeQuantWithMinMaxVarsGradient
#include <array_ops.h>
חישוב מעברי צבע עבור פעולת FakeQuantWithMinMaxVars .
תַקצִיר
טיעונים:
- scope: אובייקט Scope
- שיפועים: שיפועים שהופצו לאחור מעל פעולת FakeQuantWithMinMaxVars .
- כניסות: ערכים שהועברו כקלט לפעולת FakeQuantWithMinMaxVars . min, max: מרווח קוונטיזציה, צפים סקלרים.
מאפיינים אופציונליים (ראה Attrs
):
- num_bits: רוחב הסיביות של הקוונטיזציה; בין 2 ל-8, כולל.
- narrow_range: האם לכמת ל-2^num_bits - 1 ערכים נפרדים.
החזרות:
-
Output
backprops_wrt_input: מעברי צבע המופצים לאחור עם כניסות:gradients * (inputs >= min && inputs <= max)
. -
Output
backprop_wrt_min: מעברים מופצים לאחור wrt min פרמטר:sum(gradients * (inputs < min))
. -
Output
backprop_wrt_max: מעברים מופצים לאחור wrt max פרמטר:sum(gradients * (inputs > max))
.
בנאים והורסים | |
---|---|
FakeQuantWithMinMaxVarsGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input gradients, :: tensorflow::Input inputs, :: tensorflow::Input min, :: tensorflow::Input max) | |
FakeQuantWithMinMaxVarsGradient (const :: tensorflow::Scope & scope, :: tensorflow::Input gradients, :: tensorflow::Input inputs, :: tensorflow::Input min, :: tensorflow::Input max, const FakeQuantWithMinMaxVarsGradient::Attrs & attrs) |
תכונות ציבוריות | |
---|---|
backprop_wrt_max | |
backprop_wrt_min | |
backprops_wrt_input | |
operation |
פונקציות סטטיות ציבוריות | |
---|---|
NarrowRange (bool x) | |
NumBits (int64 x) |
מבנים | |
---|---|
tensorflow:: ops:: FakeQuantWithMinMaxVarsGradient:: Attrs | קובעי תכונות אופציונליים עבור FakeQuantWithMinMaxVarsGradient . |
תכונות ציבוריות
backprop_wrt_max
::tensorflow::Output backprop_wrt_max
backprop_wrt_min
::tensorflow::Output backprop_wrt_min
backprops_wrt_input
::tensorflow::Output backprops_wrt_input
מִבצָע
Operation operation
תפקידים ציבוריים
FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max )
FakeQuantWithMinMaxVarsGradient
FakeQuantWithMinMaxVarsGradient( const ::tensorflow::Scope & scope, ::tensorflow::Input gradients, ::tensorflow::Input inputs, ::tensorflow::Input min, ::tensorflow::Input max, const FakeQuantWithMinMaxVarsGradient::Attrs & attrs )
פונקציות סטטיות ציבוריות
טווח צר
Attrs NarrowRange( bool x )
NumBits
Attrs NumBits( int64 x )
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עדכון אחרון: 2025-07-26 (שעון UTC).
[null,null,["עדכון אחרון: 2025-07-26 (שעון UTC)."],[],[],null,["# tensorflow::ops::FakeQuantWithMinMaxVarsGradient Class Reference\n\ntensorflow::ops::FakeQuantWithMinMaxVarsGradient\n================================================\n\n`#include \u003carray_ops.h\u003e`\n\nCompute gradients for a [FakeQuantWithMinMaxVars](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars) operation.\n\nSummary\n-------\n\nArguments:\n\n- scope: A [Scope](/versions/r1.15/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n- gradients: Backpropagated gradients above the [FakeQuantWithMinMaxVars](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars) operation.\n- inputs: Values passed as inputs to the [FakeQuantWithMinMaxVars](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars) operation. min, max: Quantization interval, scalar floats.\n\n\u003cbr /\u003e\n\nOptional attributes (see [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1_1_attrs)):\n\n- num_bits: The bitwidth of the quantization; between 2 and 8, inclusive.\n- narrow_range: Whether to quantize into 2\\^num_bits - 1 distinct values.\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) backprops_wrt_input: Backpropagated gradients w.r.t. inputs: `gradients * (inputs \u003e= min && inputs \u003c= max)`.\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) backprop_wrt_min: Backpropagated gradients w.r.t. min parameter: `sum(gradients * (inputs \u003c min))`.\n- [Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) backprop_wrt_max: Backpropagated gradients w.r.t. max parameter: `sum(gradients * (inputs \u003e max))`.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FakeQuantWithMinMaxVarsGradient](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1ad9be97a8137f00d7e54153251f4f62ea)`(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)` gradients, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max)` ||\n| [FakeQuantWithMinMaxVarsGradient](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1a11b1c942c92067ddafc4db678f6d85b7)`(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)` gradients, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min, ::`[tensorflow::Input](/versions/r1.15/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max, const `[FakeQuantWithMinMaxVarsGradient::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|-----------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [backprop_wrt_max](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1abf26c1c7473251c45c87afadedb09d0a) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [backprop_wrt_min](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1a5230729c290e5cdc02a6498499e3214d) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [backprops_wrt_input](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1a2df281b7207f270927b8666d5af881dc) | `::`[tensorflow::Output](/versions/r1.15/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n| [operation](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1a916fa0e07f7154a9b6a1d1fa6b9e1ead) | [Operation](/versions/r1.15/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [NarrowRange](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1a60218fbba17b3acc458fd338852f0764)`(bool x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1abbc87cb92b40cc087db232df595ab001)`(int64 x)` | [Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars-gradient/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient_1_1_attrs) |\n\n| ### Structs ||\n|----------------------------------------------------------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FakeQuantWithMinMaxVarsGradient::Attrs](/versions/r1.15/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars-gradient/attrs) | Optional attribute setters for [FakeQuantWithMinMaxVarsGradient](/versions/r1.15/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars-gradient#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_gradient). |\n\nPublic attributes\n-----------------\n\n### backprop_wrt_max\n\n```scdoc\n::tensorflow::Output backprop_wrt_max\n``` \n\n### backprop_wrt_min\n\n```scdoc\n::tensorflow::Output backprop_wrt_min\n``` \n\n### backprops_wrt_input\n\n```scdoc\n::tensorflow::Output backprops_wrt_input\n``` \n\n### operation\n\n```text\nOperation operation\n``` \n\nPublic functions\n----------------\n\n### FakeQuantWithMinMaxVarsGradient\n\n```gdscript\n FakeQuantWithMinMaxVarsGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input gradients,\n ::tensorflow::Input inputs,\n ::tensorflow::Input min,\n ::tensorflow::Input max\n)\n``` \n\n### FakeQuantWithMinMaxVarsGradient\n\n```gdscript\n FakeQuantWithMinMaxVarsGradient(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input gradients,\n ::tensorflow::Input inputs,\n ::tensorflow::Input min,\n ::tensorflow::Input max,\n const FakeQuantWithMinMaxVarsGradient::Attrs & attrs\n)\n``` \n\nPublic static functions\n-----------------------\n\n### NarrowRange\n\n```text\nAttrs NarrowRange(\n bool x\n)\n``` \n\n### NumBits\n\n```text\nAttrs NumBits(\n int64 x\n)\n```"]]