does service streamer support cpu deploy?

[rapidrabbit76]

I'm doing batch inference on CPU in combination with Fastapi. It works fine.

# env.DEVICE is CPU 

class MyModelManager(ManagedModel):
    def init_model(self):
        classifier = torch.jit.load(
            env.MODEL_PATH, map_location="cpu"
        )
        self.classifier = classifier.eval().to(env.DEVICE)
        logger.info("model init Done")

    @torch.inference_mode()
    def predict(self, inputs: T.List[torch.Tensor]) -> T.List[torch.Tensor]:
        logger.info(f"batch size: {len(inputs)}")
        results = []
        try:
            batch = torch.cat(inputs, 0).to(env.DEVICE)
            print(batch.shape)
            outputs = self.classifier(batch)
            outputs = torch.sigmoid(outputs)
            outputs = outputs.cpu()
            results = [output for output in outputs]
        except Exception as e:
            logger.error(f"Error {self.__class__.__name__}: {e}")
        return results