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feat: extract tensormsg and refactor rosetta message converters Extract message conversion logic (ROS <-> Tensor) from rosetta into a new standalone package 'tensormsg'. This decouples the conversion layer from the bridge logic and allows for better reuse across nodes. - Create tensormsg package with TensorMsgConverter - Refactor rosetta, inference_service, and action_dispatch to use tensormsg - Remove redundant decoders.py and encoders.py from rosetta - Maintain backward compatibility in contract_utils.py Signed-off-by: XiaoqiangWu <wuxiaoqiang.rtos@huawei.com> 3 个月前
feat: extract tensormsg and refactor rosetta message converters Extract message conversion logic (ROS <-> Tensor) from rosetta into a new standalone package 'tensormsg'. This decouples the conversion layer from the bridge logic and allows for better reuse across nodes. - Create tensormsg package with TensorMsgConverter - Refactor rosetta, inference_service, and action_dispatch to use tensormsg - Remove redundant decoders.py and encoders.py from rosetta - Maintain backward compatibility in contract_utils.py Signed-off-by: XiaoqiangWu <wuxiaoqiang.rtos@huawei.com> 3 个月前
feat: extract tensormsg and refactor rosetta message converters Extract message conversion logic (ROS <-> Tensor) from rosetta into a new standalone package 'tensormsg'. This decouples the conversion layer from the bridge logic and allows for better reuse across nodes. - Create tensormsg package with TensorMsgConverter - Refactor rosetta, inference_service, and action_dispatch to use tensormsg - Remove redundant decoders.py and encoders.py from rosetta - Maintain backward compatibility in contract_utils.py Signed-off-by: XiaoqiangWu <wuxiaoqiang.rtos@huawei.com> 3 个月前