coreai_opt.quantization.spec.DynamicQParamsCalculator¶

class coreai_opt.quantization.spec.DynamicQParamsCalculator(**kwargs)[source]¶

Bases: StatelessQParamsCalculatorBase

Dynamically computes scale/zero-point/minval from the current tensor every forward.

Typically used for activation quantization where activations vary per inference and there is no calibration phase. Supports variable-shape scales (e.g. LLM token-wise quantization with variable sequence length) since no nn.Module buffers are allocated — see StatelessQParamsCalculatorBase for the full stateless contract.

__init__(**kwargs)¶

Methods

`compute_qparams`(tensor, min_val, max_val)	Given the observed min/max range, return `(scale, zero_point, minval)`.
`forward`(tensor)	Compute qparams from `tensor` and return; no buffer state.
`get_class`(key)
`list_registry_keys`()
`list_registry_values`()
`register`(key)	Register a virtual subclass of an ABC.
`resolve`(data)	Resolve a string key or class type against this registry.
`set_export_mode`([enabled])