Have a question? Connect with the community at the TensorFlow Forum Visit Forum

FakeQuantWithMinMaxArgs

public final class FakeQuantWithMinMaxArgs

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

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

Nested Classes

class FakeQuantWithMinMaxArgs.Options Optional attributes for FakeQuantWithMinMaxArgs

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output < TFloat32 >
asOutput ()
Returns the symbolic handle of the tensor.
static FakeQuantWithMinMaxArgs
create ( Scope scope, Operand < TFloat32 > inputs, Options... options)
Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.
static FakeQuantWithMinMaxArgs.Options
max (Float max)
static FakeQuantWithMinMaxArgs.Options
min (Float min)
static FakeQuantWithMinMaxArgs.Options
narrowRange (Boolean narrowRange)
static FakeQuantWithMinMaxArgs.Options
numBits (Long numBits)
Output < TFloat32 >

Inherited Methods

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "FakeQuantWithMinMaxArgs"

Public Methods

public Output < TFloat32 > asOutput ()

Returns the symbolic handle of the tensor.

Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is used to obtain a symbolic handle that represents the computation of the input.

public static FakeQuantWithMinMaxArgs create ( Scope scope, Operand < TFloat32 > inputs, Options... options)

Factory method to create a class wrapping a new FakeQuantWithMinMaxArgs operation.

Parameters
scope current scope
options carries optional attributes values
Returns
  • a new instance of FakeQuantWithMinMaxArgs

public static FakeQuantWithMinMaxArgs.Options max (Float max)

public static FakeQuantWithMinMaxArgs.Options min (Float min)

public static FakeQuantWithMinMaxArgs.Options narrowRange (Boolean narrowRange)

public static FakeQuantWithMinMaxArgs.Options numBits (Long numBits)

public Output < TFloat32 > outputs ()