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tensorflow::ops::FakeQuantWithMinMaxArgs

#include <array_ops.h>

Fake-quantize the 'inputs' tensor, type float to 'outputs' tensor of same type.

Summary

Attributes [min; max] define the clamping range for the 'inputs' data. Op divides this range into 255 steps (total of 256 values), then replaces each 'inputs' value with the closest of the quantized step values.

Quantization is called fake since the output is still in floating point.

Arguments:

Returns:

Constructors and Destructors
FakeQuantWithMinMaxArgs(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs)
FakeQuantWithMinMaxArgs(const ::tensorflow::Scope & scope, ::tensorflow::Input inputs, const FakeQuantWithMinMaxArgs::Attrs & attrs)
Public attributes
outputs
Public functions
node() const
::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const
Public static functions
Max(float x)
Min(float x)
Structs
tensorflow::ops::FakeQuantWithMinMaxArgs::Attrs

Optional attribute setters for FakeQuantWithMinMaxArgs.

Public attributes

outputs

::tensorflow::Output outputs

Public functions

FakeQuantWithMinMaxArgs

 FakeQuantWithMinMaxArgs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input inputs
)

FakeQuantWithMinMaxArgs

 FakeQuantWithMinMaxArgs(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input inputs,
  const FakeQuantWithMinMaxArgs::Attrs & attrs
)

node

::tensorflow::Node * node() const 

operator::tensorflow::Input

operator::tensorflow::Input() const 

operator::tensorflow::Output

operator::tensorflow::Output() const 

Public static functions

Max

Attrs Max(
  float x
)

Min

Attrs Min(
  float x
)

© 2017 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/cc/class/tensorflow/ops/fake-quant-with-min-max-args.html