qkeras.qtools.quantized_operators.merge_factory

create merge layer output quantizers.

Classes

Add(input_qe_list)	add a list of inputs.
Average(input_qe_list)	average (element-wise) a list of inputs.
Concatenate(input_qe_list)	Layer that concatenates a list of inputs.
Dot(input_qe_list)	dot product between samples in two tensors.
IMerger(input_qe_list)	abstract class for merge quantizer.
Maximum(input_qe_list)	maximum of a list of inputs.
MergeFactory()	determine which merge implementation to use.
Minimum(input_qe_list)	minimum (element-wise) a list of inputs.
Multiply(input_qe_list)	multiplies (element-wise) a list of inputs.

class qkeras.qtools.quantized_operators.merge_factory.Add(input_qe_list)

Bases: IMerger

add a list of inputs.

implemented_as()

class qkeras.qtools.quantized_operators.merge_factory.Average(input_qe_list)

Bases: Maximum

average (element-wise) a list of inputs.

class qkeras.qtools.quantized_operators.merge_factory.Concatenate(input_qe_list)

Bases: Maximum

Layer that concatenates a list of inputs.

class qkeras.qtools.quantized_operators.merge_factory.Dot(input_qe_list)

Bases: IMerger

dot product between samples in two tensors.

class qkeras.qtools.quantized_operators.merge_factory.IMerger(input_qe_list)

Bases: ABC

abstract class for merge quantizer.

class qkeras.qtools.quantized_operators.merge_factory.Maximum(input_qe_list)

Bases: IMerger

maximum of a list of inputs.

static implemented_as()

class qkeras.qtools.quantized_operators.merge_factory.MergeFactory

Bases: object

determine which merge implementation to use.

make_quantizer(input_qe_list, layer_type)

make quantier.

class qkeras.qtools.quantized_operators.merge_factory.Minimum(input_qe_list)

Bases: Maximum

minimum (element-wise) a list of inputs.

class qkeras.qtools.quantized_operators.merge_factory.Multiply(input_qe_list)

Bases: IMerger

multiplies (element-wise) a list of inputs.

implemented_as()