mltk.core.TfliteFullyConnectedParams

class TfliteFullyConnectedParams

Calculated Full Connected Parameters

See also

• FullyConnectedParamsQuantized

• Quantization Specification

Properties

input_offset	Input quantization offset (i.e.
output_multiplier	Output multiplier for its quantization scaler
output_offset	Output quantization offset (i.e.
output_shift	Output shift for its quantization scaler
quantized_activation_max	Fused activation max value
quantized_activation_min	Fused activation min value
weights_offset	Weight (aka filters) quantization offset (i.e.

Methods

__init__
calculate	Calculate the parameters for the given layer

__init__(input_offset=0, weights_offset=0, output_offset=0, output_multiplier=0, output_shift=0, quantized_activation_min=0, quantized_activation_max=0)

Parameters:

• input_offset (int) –

• weights_offset (int) –

• output_offset (int) –

• output_multiplier (int) –

• output_shift (int) –

• quantized_activation_min (int) –

• quantized_activation_max (int) –

Return type:

None

input_offset: int = 0

Input quantization offset (i.e. zero point)

weights_offset: int = 0

Weight (aka filters) quantization offset (i.e. zero point)

output_offset: int = 0

Output quantization offset (i.e. zero point)

output_multiplier: int = 0

Output multiplier for its quantization scaler

output_shift: int = 0

Output shift for its quantization scaler

quantized_activation_min: int = 0

Fused activation min value

quantized_activation_max: int = 0

Fused activation max value

static calculate(layer)

Calculate the parameters for the given layer

Return type:

TfliteFullyConnectedParams