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tensorflow::ops::QuantizeAndDequantizeV4
#include <array_ops.h>
Returns the gradient of QuantizeAndDequantizeV4.
Summary
This is almost identical to QuantizeAndDequantizeV2, except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.
Arguments:
Returns:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
Axis
Attrs Axis(
int64 x
)
NarrowRange
Attrs NarrowRange(
bool x
)
NumBits
Attrs NumBits(
int64 x
)
RangeGiven
Attrs RangeGiven(
bool x
)
RoundMode
Attrs RoundMode(
StringPiece x
)
Attrs SignedInput(
bool x
)
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates. Some content is licensed under the numpy license.
Last updated 2021-01-21 UTC.
[null,null,["Last updated 2021-01-21 UTC."],[],[],null,["# tensorflow::ops::QuantizeAndDequantizeV4 Class Reference\n\ntensorflow::ops::QuantizeAndDequantizeV4\n========================================\n\n`#include \u003carray_ops.h\u003e`\n\nReturns the gradient of [QuantizeAndDequantizeV4](/versions/r2.4/api_docs/cc/class/tensorflow/ops/quantize-and-dequantize-v4#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4).\n\nSummary\n-------\n\nThis is almost identical to [QuantizeAndDequantizeV2](/versions/r2.4/api_docs/cc/class/tensorflow/ops/quantize-and-dequantize-v2#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v2), except that it returns a gradient of 1 for inputs that are within the quantization range, or 0 otherwise.\n\nArguments:\n\n- scope: A [Scope](/versions/r2.4/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.4/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The output tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [QuantizeAndDequantizeV4](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1adf55b9a7b0c3fa2453f41c8dbf1a5efe)`(const ::`[tensorflow::Scope](/versions/r2.4/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_min, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_max)` ||\n| [QuantizeAndDequantizeV4](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1ad468066168d14743d1848d5071f8ae62)`(const ::`[tensorflow::Scope](/versions/r2.4/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_min, ::`[tensorflow::Input](/versions/r2.4/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` input_max, const `[QuantizeAndDequantizeV4::Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|--------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1acc1392aae55ad8bb0568d36a666ae25c) | [Operation](/versions/r2.4/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [output](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a7262a1066f9e9739306a7ab4708f7565) | `::`[tensorflow::Output](/versions/r2.4/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1af8b0df43395454f3df89a8c20a4c3d60)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1ac4a46ea522efb956a6b595c85d366c13)`() const ` | ` ` ` ` |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a181936ef24e93066a7e9f65bcf9a4aa3)`() const ` | ` ` ` ` |\n\n| ### Public static functions ||\n|-------------------------------------------------------------------------------------------------------------------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [Axis](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a42f19fcdd47c2b3c4131f3bf517c7607)`(int64 x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n| [NarrowRange](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a7948a2a783c7126aadc0a919fb2cb415)`(bool x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a028ca64d10adcee074d4a035d04a87be)`(int64 x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n| [RangeGiven](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a7309d808ec9f47ae828e02f088915d14)`(bool x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n| [RoundMode](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1a7017bf1bd8c367a9db4e516c8593a94c)`(StringPiece x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n| [SignedInput](#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1aa3c14ff4d3c6f20bcb9cf7b33fa28286)`(bool x)` | [Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs#structtensorflow_1_1ops_1_1_quantize_and_dequantize_v4_1_1_attrs) |\n\n| ### Structs ||\n|--------------------------------------------------------------------------------------------------------------------------------------|---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::QuantizeAndDequantizeV4::Attrs](/versions/r2.4/api_docs/cc/struct/tensorflow/ops/quantize-and-dequantize-v4/attrs) | Optional attribute setters for [QuantizeAndDequantizeV4](/versions/r2.4/api_docs/cc/class/tensorflow/ops/quantize-and-dequantize-v4#classtensorflow_1_1ops_1_1_quantize_and_dequantize_v4). |\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### QuantizeAndDequantizeV4\n\n```gdscript\n QuantizeAndDequantizeV4(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input input_min,\n ::tensorflow::Input input_max\n)\n``` \n\n### QuantizeAndDequantizeV4\n\n```gdscript\n QuantizeAndDequantizeV4(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input input,\n ::tensorflow::Input input_min,\n ::tensorflow::Input input_max,\n const QuantizeAndDequantizeV4::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### Axis\n\n```text\nAttrs Axis(\n int64 x\n)\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``` \n\n### RangeGiven\n\n```text\nAttrs RangeGiven(\n bool x\n)\n``` \n\n### RoundMode\n\n```text\nAttrs RoundMode(\n StringPiece x\n)\n``` \n\n### SignedInput\n\n```text\nAttrs SignedInput(\n bool x\n)\n```"]]
