File "/home/dechin/anaconda3/envs/mindsponge/lib/python3.9/site-packages/mindspore/context.py", line 175, in set_param self._context_handle.set_param(param, value) TypeError: For 'set_context', the parameter device_id can not be set repeatedly, origin value [0] has been in effect. -...
self._context_handle.set_param(param,value)TypeError:For'set_context',the parameter device_id can not besetrepeatedly,origin value[0]has beenineffect.---C++Call Stack:(For framework developers)---mindspore/core/utils/ms_context.cc:477CheckReadStatus 这里提示的是重复定义device_id的错误。但是实际...
"device": [ { "device_id": "0", "device_ip": "192.98.92.107", "rank_id": "0" }, { "device_id": "1", "device_ip": "192.98.93.107", "rank_id": "1" }, { "device_id": "2", "device_ip": "192.98.94.107", "rank_id": "2" }, { "device_id": "3", "device_i...
device_id = int(os.getenv('DEVICE_ID', '0')) device_num = int(os.getenv('RANK_SIZE', '1')) if not opt['device_target'] in ("Ascend", "GPU"): raise ValueError("Unsupported platform {}".format(opt['device_target'])) if opt['device_target'] == "Ascend": context.set_contex...
uint32_t GetDeviceID()const; 1. 获取当前Device ID。 返回值 当前Device ID。 SetDeviceTarget Context &SetDeviceTarget(conststd::string &device_target); 1. 配置目标Device。 参数 device_target: 将要配置的目标Device,可选有kDeviceTypeAscend310、kDeviceTypeAscend910。
推理参照 MindSpore C++推理部署指南 进行环境变量设置。目前仅可处理batch_Size为1。bash run_infer_cpp.sh [MINDIR_PATH] [DATA_PATH] [DATA_ROOT] [DATA_LIST] [DEVICE_TYPE] [DEVICE_ID]DEVICE_TYPE 可以为Ascend, GPU, 或CPU。 DEVICE_ID 可选,默认值为 0。
worker.start_servable_in_master(servable_dir,"add", device_id=0) master.start_grpc_server("127.0.0.1",5500)if__name__ =="__main__": start() 当服务端打印日志Serving gRPC start success, listening on 0.0.0.0:5500时,表示Serving服务已加载推理模型完毕。
API声明:deviceID(): bigint; 差异内容:deviceID(): bigint; api/@ohos.ai.mindSporeLite.d.ts 新增API NA 类名:NNRTDeviceDescription; API声明:deviceType(): NNRTDeviceType; 差异内容:deviceType(): NNRTDeviceType; api/@ohos.ai.mindSporeLite.d.ts 新增API NA 类名:NNRTDeviceDescription; API...
help="") parser.add_argument('--box', type=str, default="mdbox", help='') parser.add_argument('--device_id', type=int, default=0, help='') args_opt = parser.parse_args() context.set_context(mode=context.GRAPH_MODE, device_target="GPU", device_id=args_opt.device_id, save_gra...
rank_id=0, do_train=True):# num_paralel_workers: parallel degree of data process 并行度 并行训练时用到# num_shards: total number devices for distribute training, which equals number shard of data # devices数量# shard_id: the sequence of current device in all distribute training devices, #...