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tensorflow::ops::FakeQuantWithMinMaxVars
#include <array_ops.h>
Fake-quantize the 'inputs' tensor of type float via global float scalars.
Summary
Fake-quantize the inputs tensor of type float via global float scalars min and max to outputs tensor of same shape as inputs.
Attributes
[min; max] define the clamping range for the inputs data.inputs values are quantized into the quantization range ( [0; 2^num_bits - 1] when narrow_range is false and [1; 2^num_bits - 1] when it is true) and then de-quantized and output as floats in [min; max] interval.num_bits is the bitwidth of the quantization; between 2 and 16, inclusive.
Before quantization, min and max values are adjusted with the following logic. It is suggested to have min <= 0 <= max. If 0 is not in the range of values, the behavior can be unexpected:
- If
0 < min < max: min_adj = 0 and max_adj = max - min.
- If
min < max < 0: min_adj = min - max and max_adj = 0.
- If
min <= 0 <= max: scale = (max - min) / (2^num_bits - 1), min_adj = scale * round(min / scale) and max_adj = max + min_adj - min.
This operation has a gradient and thus allows for training min and max values.
Args:
Returns:
Public attributes
Public functions
node
::tensorflow::Node * node() const
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const
Public static functions
NarrowRange
Attrs NarrowRange(
bool x
)
NumBits
Attrs NumBits(
int64 x
)
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Last updated 2023-10-06 UTC.
[null,null,["Last updated 2023-10-06 UTC."],[],[],null,["# tensorflow::ops::FakeQuantWithMinMaxVars Class Reference\n\ntensorflow::ops::FakeQuantWithMinMaxVars\n========================================\n\n`#include \u003carray_ops.h\u003e`\n\nFake-quantize the 'inputs' tensor of type float via global float scalars.\n\nSummary\n-------\n\nFake-quantize the `inputs` tensor of type float via global float scalars `min` and `max` to `outputs` tensor of same shape as `inputs`.\n\nAttributes\n\n\n- `[min; max]` define the clamping range for the `inputs` data.\n- `inputs` values are quantized into the quantization range ( `[0; 2^num_bits - 1]` when `narrow_range` is false and `[1; 2^num_bits - 1]` when it is true) and then de-quantized and output as floats in `[min; max]` interval.\n- `num_bits` is the bitwidth of the quantization; between 2 and 16, inclusive.\n\n\u003cbr /\u003e\n\nBefore quantization, `min` and `max` values are adjusted with the following logic. It is suggested to have `min \u003c= 0 \u003c= max`. If `0` is not in the range of values, the behavior can be unexpected:\n\n\n- If `0 \u003c min \u003c max`: `min_adj = 0` and `max_adj = max - min`.\n- If `min \u003c max \u003c 0`: `min_adj = min - max` and `max_adj = 0`.\n- If `min \u003c= 0 \u003c= max`: `scale = (max - min) / (2^num_bits - 1)`, `min_adj = scale * round(min / scale)` and `max_adj = max + min_adj - min`.\n\n\u003cbr /\u003e\n\nThis operation has a gradient and thus allows for training `min` and `max` values.\n\nArgs:\n\n- scope: A [Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope) object\n\n\u003cbr /\u003e\n\nReturns:\n\n- [Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output): The outputs tensor.\n\n\u003cbr /\u003e\n\n| ### Constructors and Destructors ||\n|---|---|\n| [FakeQuantWithMinMaxVars](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a00ee58aabd6226983d344471c6956521)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max)` ||\n| [FakeQuantWithMinMaxVars](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a86e17a607800b4a82880a67535ed4395)`(const ::`[tensorflow::Scope](/versions/r2.14/api_docs/cc/class/tensorflow/scope#classtensorflow_1_1_scope)` & scope, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` inputs, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` min, ::`[tensorflow::Input](/versions/r2.14/api_docs/cc/class/tensorflow/input#classtensorflow_1_1_input)` max, const `[FakeQuantWithMinMaxVars::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1_1_attrs)` & attrs)` ||\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------|----------------------------------------------------------------------------------------------------------|\n| [operation](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1af7b295d43fd540e49c6a4e1621d8ed30) | [Operation](/versions/r2.14/api_docs/cc/class/tensorflow/operation#classtensorflow_1_1_operation) |\n| [outputs](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a9fc018d2523132a82d3e60c8e7dc465f) | `::`[tensorflow::Output](/versions/r2.14/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) |\n\n| ### Public functions ||\n|----------------------------------------------------------------------------------------------------------------------------------------|------------------------|\n| [node](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a1d4aaa7a38907c46fc2ea3372028d94c)`() const ` | `::tensorflow::Node *` |\n| [operator::tensorflow::Input](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a384ba596b1a4aebcb314a87e7411fd62)`() const ` | |\n| [operator::tensorflow::Output](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1ac698bada55ee29951a83182f80ee6395)`() const ` | |\n\n| ### Public static functions ||\n|----------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [NarrowRange](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1aee3dc1525e2c3837ac1b66757ec20823)`(bool x)` | [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1_1_attrs) |\n| [NumBits](#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1a08eae0ee7977569586e1a3fadb261b95)`(int64 x)` | [Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars/attrs#structtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars_1_1_attrs) |\n\n| ### Structs ||\n|-----------------------------------------------------------------------------------------------------------------------------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [tensorflow::ops::FakeQuantWithMinMaxVars::Attrs](/versions/r2.14/api_docs/cc/struct/tensorflow/ops/fake-quant-with-min-max-vars/attrs) | Optional attribute setters for [FakeQuantWithMinMaxVars](/versions/r2.14/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-vars#classtensorflow_1_1ops_1_1_fake_quant_with_min_max_vars). |\n\nPublic attributes\n-----------------\n\n### operation\n\n```text\nOperation operation\n``` \n\n### outputs\n\n```text\n::tensorflow::Output outputs\n``` \n\nPublic functions\n----------------\n\n### FakeQuantWithMinMaxVars\n\n```gdscript\n FakeQuantWithMinMaxVars(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n ::tensorflow::Input min,\n ::tensorflow::Input max\n)\n``` \n\n### FakeQuantWithMinMaxVars\n\n```gdscript\n FakeQuantWithMinMaxVars(\n const ::tensorflow::Scope & scope,\n ::tensorflow::Input inputs,\n ::tensorflow::Input min,\n ::tensorflow::Input max,\n const FakeQuantWithMinMaxVars::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### NarrowRange\n\n```text\nAttrs NarrowRange(\n bool x\n)\n``` \n\n### NumBits\n\n```text\nAttrs NumBits(\n int64 x\n)\n```"]]
