coreai_opt.quantization.spec.GlobalMinMaxQParamsCalculator

class coreai_opt.quantization.spec.GlobalMinMaxQParamsCalculator(*args, **kwargs)

Bases: RunningRangeMixin, QParamsCalculatorBase

Computes scale and zero point by tracking the running min/max.

Maintains running_min and running_max buffers that are updated each forward pass via element-wise minimum and maximum:

running_min = min(running_min, x_min) running_max = max(running_max, x_max)

Parameters:

• args (object)

• kwargs (object)

__init__(*args, **kwargs)

Parameters:

• args (object)

• kwargs (object)

Return type:

None

Methods

compute_qparams(tensor, min_val, max_val)	Update running range, persist to buffers, then compute qparams.
extra_repr()	Return the extra representation of the module.
forward(tensor)	Compute scale, zero point, and minval from the input tensor.
get_class(key)
get_qparams()	Return the computed scale, zero point and minval.
list_registry_keys()
list_registry_values()
register(key)	Register a virtual subclass of an ABC.
set_export_mode([enabled])
update_running_range(min_val, max_val)	Return (updated_min, updated_max) using subclass-specific rule.

update_running_range(min_val, max_val)

Return (updated_min, updated_max) using subclass-specific rule.

Parameters:

• min_val (Tensor)

• max_val (Tensor)

Return type:

tuple[Tensor, Tensor]