FakeQuantWithMinMaxVarsGradient

public final class FakeQuantWithMinMaxVarsGradient

Compute gradients for a FakeQuantWithMinMaxVars operation.

Nested Classes

class FakeQuantWithMinMaxVarsGradient.Options Optional attributes for FakeQuantWithMinMaxVarsGradient

Constants

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

Public Methods

Output < TFloat32 >
backpropWrtMax ()
Backpropagated gradients w.r.t.
Output < TFloat32 >
backpropWrtMin ()
Backpropagated gradients w.r.t.
Output < TFloat32 >
backpropsWrtInput ()
Backpropagated gradients w.r.t.
static FakeQuantWithMinMaxVarsGradient
create ( Scope scope, Operand < TFloat32 > gradients, Operand < TFloat32 > inputs, Operand < TFloat32 > min, Operand < TFloat32 > max, Options... options)
Factory method to create a class wrapping a new FakeQuantWithMinMaxVarsGradient operation.
static FakeQuantWithMinMaxVarsGradient.Options
narrowRange (Boolean narrowRange)
static FakeQuantWithMinMaxVarsGradient.Options
numBits (Long numBits)

Inherited Methods

Constants

public static final String OP_NAME

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

Constant Value: "FakeQuantWithMinMaxVarsGradient"

Public Methods

public Output < TFloat32 > backpropWrtMax ()

Backpropagated gradients w.r.t. max parameter: `sum(gradients * (inputs > max))`.

public Output < TFloat32 > backpropWrtMin ()

Backpropagated gradients w.r.t. min parameter: `sum(gradients * (inputs < min))`.

public Output < TFloat32 > backpropsWrtInput ()

Backpropagated gradients w.r.t. inputs: `gradients * (inputs >= min && inputs <= max)`.

public static FakeQuantWithMinMaxVarsGradient create ( Scope scope, Operand < TFloat32 > gradients, Operand < TFloat32 > inputs, Operand < TFloat32 > min, Operand < TFloat32 > max, Options... options)

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

Parameters
scope current scope
gradients Backpropagated gradients above the FakeQuantWithMinMaxVars operation.
inputs Values passed as inputs to the FakeQuantWithMinMaxVars operation. min, max: Quantization interval, scalar floats.
options carries optional attributes values
Returns
  • a new instance of FakeQuantWithMinMaxVarsGradient

public static FakeQuantWithMinMaxVarsGradient.Options narrowRange (Boolean narrowRange)

Parameters
narrowRange Whether to quantize into 2^num_bits - 1 distinct values.

public static FakeQuantWithMinMaxVarsGradient.Options numBits (Long numBits)

Parameters
numBits The bitwidth of the quantization; between 2 and 8, inclusive.