Torchserve custom handler – how to pass a list of tensors for batch inferencing Question: I am trying to create a custom handler in torchserve and want to also use torchserve’s batch capability for parallelism for optimum use of resources. I am not able to find out how to write custom handler for this inference. …
How do I create a custom handler in torchserve? Question: I am trying to create a custom handler on Torchserve. The custom handler has been modified as follows # custom handler file # model_handler.py """ ModelHandler defines a custom model handler. """ import os import soundfile from espnet2.bin.enh_inference import * from ts.torch_handler.base_handler import BaseHandler class …
TorchServe: How to convert bytes output to tensors Question: I have a model that is served using TorchServe. I’m communicating with the TorchServe server using gRPC. The final postprocess method of the custom handler defined returns a list which is converted into bytes for transfer over the network. The post process method def postprocess(self, data): …
