tensorflow::ops::FakeQuantWithMinMaxArgs

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. 'num_bits' is the bitwidth of the quantization; between 2 and 8, inclusive.

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

Arguments:

• scope: A Scope object

Returns:

• Output: The outputs tensor.

Public attributes

::tensorflow::Output outputs

Public functions

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

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

::tensorflow::Node * node() const 

operator::tensorflow::Input() const 

operator::tensorflow::Output() const 

Public static functions

Attrs Max(
  float x
)

Attrs Min(
  float x
)

Attrs NumBits(
  int64 x
)