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tensorflow::
ops::
QuantizedInstanceNorm::
Attrs
#include <array_ops.h>
Optional attribute setters for
QuantizedInstanceNorm
.
Summary
Public attributes
given_y_max_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f
given_y_min_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f
min_separation_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f
output_range_given_
bool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false
variance_epsilon_
float tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f
Public functions
GivenYMax
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(
float x
)
Output
in
y_max
if
output_range_given
is True.
Defaults to 0
GivenYMin
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(
float x
)
Output
in
y_min
if
output_range_given
is True.
Defaults to 0
MinSeparation
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(
float x
)
Minimum
value of
y_max - y_min
Defaults to 0.001
OutputRangeGiven
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(
bool x
)
If True,
given_y_min
and
given_y_min
and
given_y_max
are used as the output range.
Otherwise, the implementation computes the output range.
Defaults to false
VarianceEpsilon
TF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(
float x
)
A small float number to avoid dividing by 0.
Defaults to 1e-05
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Last updated 2021-08-16 UTC.
[null,null,["Last updated 2021-08-16 UTC."],[],[],null,["# tensorflow::ops::QuantizedInstanceNorm::Attrs Struct Reference\n\ntensorflow::\nops::\nQuantizedInstanceNorm::\nAttrs\n================================================\n\n`\n#include \u003carray_ops.h\u003e\n`\n\n\nOptional attribute setters for\n[QuantizedInstanceNorm](/versions/r2.6/api_docs/cc/class/tensorflow/ops/quantized-instance-norm#classtensorflow_1_1ops_1_1_quantized_instance_norm)\n.\n\nSummary\n-------\n\n| ### Public attributes ||\n|----------------------------------------------------------------------------------------------------------------------------------------|-----------|\n| ` `[given_y_max_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a143f0f1661df75a9345104b53d2a23a1)` = 0.0f ` | ` float ` |\n| ` `[given_y_min_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a66a475c41d1d5351475d1b41f4c722b9)` = 0.0f ` | ` float ` |\n| ` `[min_separation_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a02e61831bb492f7e82ab72cfdd164bcd)` = 0.001f ` | ` float ` |\n| ` `[output_range_given_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a90012c405dc0d5545b200b2a7ca74651)` = false ` | ` bool ` |\n| ` `[variance_epsilon_](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a3eb30df9c538c1316ba64edd59220592)` = 1e-05f ` | ` float ` |\n\n| ### Public functions ||\n|--------------------------------------------------------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| ` `[GivenYMax](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a553ab19eaa986e91efec9bcac303ae9b)` (float x) ` | ` TF_MUST_USE_RESULT `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` ` [Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in ` y_max ` if ` output_range_given ` is True. |\n| ` `[GivenYMin](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a05f250f2de55e37648933a2b078bb1db)` (float x) ` | ` TF_MUST_USE_RESULT `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` ` [Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output) in ` y_min ` if ` output_range_given ` is True. |\n| ` `[MinSeparation](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a990577e61d1a959e6b16f31deeef2ac3)` (float x) ` | ` TF_MUST_USE_RESULT `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` ` [Minimum](/versions/r2.6/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum) value of ` y_max - y_min ` |\n| ` `[OutputRangeGiven](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1a7715dcb9ec54a1cd7e45f9a30d1bd226)` (bool x) ` | ` TF_MUST_USE_RESULT `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` ` If True, ` given_y_min ` and ` given_y_min ` and ` given_y_max ` are used as the output range. |\n| ` `[VarianceEpsilon](#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs_1abee47b20aa34a84940f8449f1c4179b2)` (float x) ` | ` TF_MUST_USE_RESULT `[Attrs](/versions/r2.6/api_docs/cc/struct/tensorflow/ops/quantized-instance-norm/attrs#structtensorflow_1_1ops_1_1_quantized_instance_norm_1_1_attrs)` ` A small float number to avoid dividing by 0. |\n\nPublic attributes\n-----------------\n\n### given_y_max_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_max_ = 0.0f\n``` \n\n### given_y_min_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::given_y_min_ = 0.0f\n``` \n\n### min_separation_\n\n```scdoc\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::min_separation_ = 0.001f\n``` \n\n### output_range_given_\n\n```scdoc\nbool tensorflow::ops::QuantizedInstanceNorm::Attrs::output_range_given_ = false\n``` \n\n### variance_epsilon_\n\n```gdscript\nfloat tensorflow::ops::QuantizedInstanceNorm::Attrs::variance_epsilon_ = 1e-05f\n``` \n\nPublic functions\n----------------\n\n### GivenYMax\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMax(\n float x\n)\n``` \n\n[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)\nin\n`\ny_max\n`\nif\n`\noutput_range_given\n`\nis True.\n\n\nDefaults to 0 \n\n### GivenYMin\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::GivenYMin(\n float x\n)\n``` \n\n[Output](/versions/r2.6/api_docs/cc/class/tensorflow/output#classtensorflow_1_1_output)\nin\n`\ny_min\n`\nif\n`\noutput_range_given\n`\nis True.\n\n\nDefaults to 0 \n\n### MinSeparation\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::MinSeparation(\n float x\n)\n``` \n\n[Minimum](/versions/r2.6/api_docs/cc/class/tensorflow/ops/minimum#classtensorflow_1_1ops_1_1_minimum)\nvalue of\n`\ny_max - y_min\n`\n\n\nDefaults to 0.001 \n\n### OutputRangeGiven\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::OutputRangeGiven(\n bool x\n)\n``` \n\nIf True,\n`\ngiven_y_min\n`\nand\n`\ngiven_y_min\n`\nand\n`\ngiven_y_max\n`\nare used as the output range.\n\n\nOtherwise, the implementation computes the output range.\n\n\nDefaults to false \n\n### VarianceEpsilon\n\n```scdoc\nTF_MUST_USE_RESULT Attrs tensorflow::ops::QuantizedInstanceNorm::Attrs::VarianceEpsilon(\n float x\n)\n``` \n\nA small float number to avoid dividing by 0.\n\n\nDefaults to 1e-05"]]
