Method load_graph

ppq/executor/torch.py:604–608

(self, graph: BaseGraph)

            hooks=hooks)

    def load_graph(self, graph: BaseGraph) -> dict:
        super().load_graph(graph)
        self._deployed = False
        self._runnable_graph = RunnableGraph(self._graph)
        self._runnable_graph(GraphDeployCommand(device=self._device))

    def quantize_function(self, tensor: torch.Tensor, config: TensorQuantizationConfig = None) -> torch.Tensor:
        if config is None or not QuantizationStates.is_activated(config.state): return tensor