qat.pipelines.legacy.base module

class LegacyPipeline(config, model=None, loader=None, target_data=None, engine=None)

A pipeline that compiles programs using the legacy backend and executes them using the LegacyRuntime.

The piepline uses the engine provided by the legacy model, and cannot be provided to the factory.

Parameters:

config¶ (PipelineConfig) – The pipeline configuration with the name of the pipeline, and any additional parameters that can be configured in the pipeline.
model¶ (Union[QuantumHardwareModel, PhysicalHardwareModel, None]) – The hardware model to feed into the pipeline, cannot be used simultaneously with loader, defaults to None.
loader¶ (Optional[BaseModelLoader]) – The hardware loader used to load the hardware model which can be used to later refresh the hardware model. Cannot be used simultaneously with the model, defaults to None.
target_data¶ (Optional[TargetData]) – The data concerning the target device, defaults to None
engine¶ (Optional[NativeEngine]) – The engine to use for the pipeline, defaults to None.

Raises:

ValueError – If neither model nor loader is provided, or if both are provided.

class LegacyPipelineConfig(**data)

Configuration for the LegacyPipeline, extending PipelineConfig with configurable connection modes.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config: ClassVar[ConfigDict] = {}: Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].