tensorflow::ops::FakeQuantWithMinMaxArgs

#include <array_ops.h>

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

Summary

Quantization is called fake since the output is still in floating point. The API converts inputs into values within the range [min and max] and returns as output.

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.

Examples

inp = tf.constant ([10.03, -10.23, 3])
out = tf.quantization.fake_quant_with_min_max_args(inp, min=-5, max=5,
                                                   num_bits=16)
print(out)

#  Output:
#  tf.Tensor([ 4.9999237 -5.0000763  3.0000763], shape=(3,), dtype=float32)

Raises:

• InvalidArgumentError:
  • If num_bits are outside of range [2, 16].
  • If min >= max.
• ValueError: If inputs are of any other type than float32.

Args:

• scope: A Scope object

Returns:

• Output: The outputs tensor.

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
operation	Operation
outputs	::tensorflow::Output

Public functions
node() const	::tensorflow::Node *
operator::tensorflow::Input() const
operator::tensorflow::Output() const

Public static functions
Max(float x)	Attrs
Min(float x)	Attrs
NarrowRange(bool x)	Attrs
NumBits(int64 x)	Attrs

Structs
tensorflow::ops::FakeQuantWithMinMaxArgs::Attrs	Optional attribute setters for FakeQuantWithMinMaxArgs.

Public attributes

operation

Operation operation

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
)

NarrowRange

Attrs NarrowRange(
  bool x
)

NumBits

Attrs NumBits(
  int64 x
)