硬件:300I pro
模型:DeepSeek-R1-Distill-7B
运行 ./mindieservice_daemon 的时候报错:
LLMInferEngine failed to init LLMInferModels
ERR: Failed to init endpoint! Please check the service log or console output.
Killed
mindservice.log如下:
[2025-04-06 15:49:29.887304+08:00] [419] [421] [server] [ERROR] [llm_infer_model_instance.cpp:234] : [LLMInferModelInstance::Init] llmManager_ init fail!
[2025-04-06 15:49:29.887347+08:00] [419] [421] [server] [ERROR] [llm_infer_model.cpp:28] : ModelInstance init failed
[2025-04-06 15:49:29.887383+08:00] [419] [421] [server] [ERROR] [llm_infer_engine.cpp:48] : [MIE05E040001] [llm_backend] LLMInferEngine initialize LLMInfe
rModels failed. please check the error stacks for more details
[2025-04-06 15:49:29.887440+08:00] [419] [421] [server] [ERROR] [infer_backend_manager.cpp:272] : [MIE04E060108] [backend_manager] Failed to init engine:
mindieservice_llm_engine
[2025-04-06 15:49:29.887465+08:00] [419] [421] [server] [ERROR] [EndPoint endpoint.cpp:50] ERR: Failed to init backendManager! Please check in the mindser
vice.log, pythonlog.log(default path: mindie-llm/logs) or console output.
/usr/local/Ascend/mindie/latest/mindie-llm/logs如下:
2025-04-06 15:49:26.092261 421 LLM log default format: [yyyy-mm-dd hh:mm:ss.uuuuuu][processid] [threadid] [llm] [loglevel][file:line] [error code] msg
[2025-04-06 15:49:26.092286] [419] [139710713542336] [llm] [INFO] [llm_manager_impl.cpp:68] LLMRuntime init success!
[2025-04-06 15:49:26.093364] [419] [139710713542336] [llm] [INFO] [model_deploy_config.cpp:137] ModelDeployConfig::pySonamelibpython3.11.so
[2025-04-06 15:49:29.887201] [419] [139710713542336] [llm] [ERROR] [model_deploy_config.cpp:159] Failed to get vocab size from tokenizer wrapper with exception: KeyError: 'model_type'
At:
/usr/local/Ascend/atb-models/atb_llm/models/__init__.py(30): get_model
/usr/local/Ascend/atb-models/atb_llm/runner/tokenizer_wrapper.py(18): __init__
/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/atb/atb_tokenizer_wrapper.py(8): __init__
/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/__init__.py(28): get_tokenizer_wrapper
/usr/local/Ascend/mindie/latest/mindie-service/conf/config.json如下:
{
"Version" : "1.1.0",
"LogConfig" :
{
"logLevel" : "Info",
"logFileSize" : 20,
"logFileNum" : 20,
"logPath" : "logs/mindservice.log"
},
"ServerConfig" :
{
"ipAddress" : "127.0.0.1",
"managementIpAddress" : "127.0.0.2",
"port" : 1025,
"managementPort" : 1026,
"metricsPort" : 1027,
"allowAllZeroIpListening" : false,
"maxLinkNum" : 1000,
"httpsEnabled" : false,
"fullTextEnabled" : false,
"tlsCaPath" : "security/ca/",
"tlsCaFile" : ["ca.pem"],
"tlsCert" : "security/certs/server.pem",
"tlsPk" : "security/keys/server.key.pem",
"tlsPkPwd" : "security/pass/key_pwd.txt",
"tlsCrlPath" : "security/certs/",
"tlsCrlFiles" : ["server_crl.pem"],
"managementTlsCaFile" : ["management_ca.pem"],
"managementTlsCert" : "security/certs/management/server.pem",
"managementTlsPk" : "security/keys/management/server.key.pem",
"managementTlsPkPwd" : "security/pass/management/key_pwd.txt",
"managementTlsCrlPath" : "security/management/certs/",
"managementTlsCrlFiles" : ["server_crl.pem"],
"kmcKsfMaster" : "tools/pmt/master/ksfa",
"kmcKsfStandby" : "tools/pmt/standby/ksfb",
"inferMode" : "standard",
"interCommTLSEnabled" : true,
"interCommPort" : 1121,
"interCommTlsCaPath" : "security/grpc/ca/",
"interCommTlsCaFiles" : ["ca.pem"],
"interCommTlsCert" : "security/grpc/certs/server.pem",
"interCommPk" : "security/grpc/keys/server.key.pem",
"interCommPkPwd" : "security/grpc/pass/key_pwd.txt",
"interCommTlsCrlPath" : "security/grpc/certs/",
"interCommTlsCrlFiles" : ["server_crl.pem"],
"openAiSupport" : "vllm"
},
"BackendConfig" : {
"backendName" : "mindieservice_llm_engine",
"modelInstanceNumber" : 1,
"npuDeviceIds" : [[0,1]],
"tokenizerProcessNumber" : 8,
"multiNodesInferEnabled" : false,
"multiNodesInferPort" : 1120,
"interNodeTLSEnabled" : true,
"interNodeTlsCaPath" : "security/grpc/ca/",
"interNodeTlsCaFiles" : ["ca.pem"],
"interNodeTlsCert" : "security/grpc/certs/server.pem",
"interNodeTlsPk" : "security/grpc/keys/server.key.pem",
"interNodeTlsPkPwd" : "security/grpc/pass/mindie_server_key_pwd.txt",
"interNodeTlsCrlPath" : "security/grpc/certs/",
"interNodeTlsCrlFiles" : ["server_crl.pem"],
"interNodeKmcKsfMaster" : "tools/pmt/master/ksfa",
"interNodeKmcKsfStandby" : "tools/pmt/standby/ksfb",
"ModelDeployConfig" :
{
"maxSeqLen" : 2560,
"maxInputTokenLen" : 2048,
"truncation" : false,
"ModelConfig" : [
{
"modelInstanceType" : "Standard",
"modelName" : "qwen",
"modelWeightPath" : "/DeepSeek-R1-Distill-Qwen-7B",
"worldSize" : 2,
"cpuMemSize" : 5,
"npuMemSize" : -1,
"backendType" : "atb",
"trustRemoteCode" : false
}
]
},
"ScheduleConfig" :
{
"templateType" : "Standard",
"templateName" : "Standard_LLM",
"cacheBlockSize" : 128,
"maxPrefillBatchSize" : 50,
"maxPrefillTokens" : 8192,
"prefillTimeMsPerReq" : 150,
"prefillPolicyType" : 0,
"decodeTimeMsPerReq" : 50,
"decodePolicyType" : 0,
"maxBatchSize" : 200,
"maxIterTimes" : 512,
"maxPreemptCount" : 0,
"supportSelectBatch" : false,
"maxQueueDelayMicroseconds" : 5000
}
}
}
硬件:300I pro
模型:DeepSeek-R1-Distill-7B
运行 ./mindieservice_daemon 的时候报错:
LLMInferEngine failed to init LLMInferModels
ERR: Failed to init endpoint! Please check the service log or console output.
Killed
mindservice.log如下:
[2025-04-06 15:49:29.887304+08:00] [419] [421] [server] [ERROR] [llm_infer_model_instance.cpp:234] : [LLMInferModelInstance::Init] llmManager_ init fail!
[2025-04-06 15:49:29.887347+08:00] [419] [421] [server] [ERROR] [llm_infer_model.cpp:28] : ModelInstance init failed
[2025-04-06 15:49:29.887383+08:00] [419] [421] [server] [ERROR] [llm_infer_engine.cpp:48] : [MIE05E040001] [llm_backend] LLMInferEngine initialize LLMInfe
rModels failed. please check the error stacks for more details
[2025-04-06 15:49:29.887440+08:00] [419] [421] [server] [ERROR] [infer_backend_manager.cpp:272] : [MIE04E060108] [backend_manager] Failed to init engine:
mindieservice_llm_engine
[2025-04-06 15:49:29.887465+08:00] [419] [421] [server] [ERROR] [EndPoint endpoint.cpp:50] ERR: Failed to init backendManager! Please check in the mindser
vice.log, pythonlog.log(default path: mindie-llm/logs) or console output.
/usr/local/Ascend/mindie/latest/mindie-llm/logs如下:
2025-04-06 15:49:26.092261 421 LLM log default format: [yyyy-mm-dd hh:mm:ss.uuuuuu][processid] [threadid] [llm] [loglevel][file:line] [error code] msg
[2025-04-06 15:49:26.092286] [419] [139710713542336] [llm] [INFO] [llm_manager_impl.cpp:68] LLMRuntime init success!
[2025-04-06 15:49:26.093364] [419] [139710713542336] [llm] [INFO] [model_deploy_config.cpp:137] ModelDeployConfig::pySonamelibpython3.11.so
[2025-04-06 15:49:29.887201] [419] [139710713542336] [llm] [ERROR] [model_deploy_config.cpp:159] Failed to get vocab size from tokenizer wrapper with exception: KeyError: 'model_type'
At:/usr/local/Ascend/atb-models/atb_llm/models/__init__.py(30): get_model
/usr/local/Ascend/atb-models/atb_llm/runner/tokenizer_wrapper.py(18): __init__
/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/atb/atb_tokenizer_wrapper.py(8): __init__
/usr/local/lib/python3.11/site-packages/mindie_llm/modeling/model_wrapper/__init__.py(28): get_tokenizer_wrapper
/usr/local/Ascend/mindie/latest/mindie-service/conf/config.json如下:
{
"Version" : "1.1.0",
"LogConfig" :
{
"logLevel" : "Info",
"logFileSize" : 20,
"logFileNum" : 20,
"logPath" : "logs/mindservice.log"
},
"ServerConfig" :
{
"ipAddress" : "127.0.0.1",
"managementIpAddress" : "127.0.0.2",
"port" : 1025,
"managementPort" : 1026,
"metricsPort" : 1027,
"allowAllZeroIpListening" : false,
"maxLinkNum" : 1000,
"httpsEnabled" : false,
"fullTextEnabled" : false,
"tlsCaPath" : "security/ca/",
"tlsCaFile" : ["ca.pem"],
"tlsCert" : "security/certs/server.pem",
"tlsPk" : "security/keys/server.key.pem",
"tlsPkPwd" : "security/pass/key_pwd.txt",
"tlsCrlPath" : "security/certs/",
"tlsCrlFiles" : ["server_crl.pem"],
"managementTlsCaFile" : ["management_ca.pem"],
"managementTlsCert" : "security/certs/management/server.pem",
"managementTlsPk" : "security/keys/management/server.key.pem",
"managementTlsPkPwd" : "security/pass/management/key_pwd.txt",
"managementTlsCrlPath" : "security/management/certs/",
"managementTlsCrlFiles" : ["server_crl.pem"],
"kmcKsfMaster" : "tools/pmt/master/ksfa",
"kmcKsfStandby" : "tools/pmt/standby/ksfb",
"inferMode" : "standard",
"interCommTLSEnabled" : true,
"interCommPort" : 1121,
"interCommTlsCaPath" : "security/grpc/ca/",
"interCommTlsCaFiles" : ["ca.pem"],
"interCommTlsCert" : "security/grpc/certs/server.pem",
"interCommPk" : "security/grpc/keys/server.key.pem",
"interCommPkPwd" : "security/grpc/pass/key_pwd.txt",
"interCommTlsCrlPath" : "security/grpc/certs/",
"interCommTlsCrlFiles" : ["server_crl.pem"],
"openAiSupport" : "vllm"
},
"BackendConfig" : {
"backendName" : "mindieservice_llm_engine",
"modelInstanceNumber" : 1,
"npuDeviceIds" : [[0,1]],
"tokenizerProcessNumber" : 8,
"multiNodesInferEnabled" : false,
"multiNodesInferPort" : 1120,
"interNodeTLSEnabled" : true,
"interNodeTlsCaPath" : "security/grpc/ca/",
"interNodeTlsCaFiles" : ["ca.pem"],
"interNodeTlsCert" : "security/grpc/certs/server.pem",
"interNodeTlsPk" : "security/grpc/keys/server.key.pem",
"interNodeTlsPkPwd" : "security/grpc/pass/mindie_server_key_pwd.txt",
"interNodeTlsCrlPath" : "security/grpc/certs/",
"interNodeTlsCrlFiles" : ["server_crl.pem"],
"interNodeKmcKsfMaster" : "tools/pmt/master/ksfa",
"interNodeKmcKsfStandby" : "tools/pmt/standby/ksfb",
"ModelDeployConfig" :
{
"maxSeqLen" : 2560,
"maxInputTokenLen" : 2048,
"truncation" : false,
"ModelConfig" : [
{
"modelInstanceType" : "Standard",
"modelName" : "qwen",
"modelWeightPath" : "/DeepSeek-R1-Distill-Qwen-7B",
"worldSize" : 2,
"cpuMemSize" : 5,
"npuMemSize" : -1,
"backendType" : "atb",
"trustRemoteCode" : false
}
]
},
"ScheduleConfig" :
{
"templateType" : "Standard",
"templateName" : "Standard_LLM",
"cacheBlockSize" : 128,
"maxPrefillBatchSize" : 50,
"maxPrefillTokens" : 8192,
"prefillTimeMsPerReq" : 150,
"prefillPolicyType" : 0,
"decodeTimeMsPerReq" : 50,
"decodePolicyType" : 0,
"maxBatchSize" : 200,
"maxIterTimes" : 512,
"maxPreemptCount" : 0,
"supportSelectBatch" : false,
"maxQueueDelayMicroseconds" : 5000
}
}
}