Error codes
Error code |
Error message |
Possible solutions |
E00000 |
An unexpected server error occurred. Please refresh the page and try again or check the logs for more details. If the error persists, restart of the AI Inference Server application within Management of Edge device might solve the problem. |
N/A |
E00001 |
An internal server error occurred. Please refresh the page and try again or check the logs for more details. If the error persists, restart of the AI Inference Server application within Management of Edge device might solve the problem. |
N/A |
E00002 |
We are sorry, we could not migrate some data during the application upgrade process. If you want to proceed with the new version, uninstall the current application and do an installation afterwards. In this case you will need to re-import configuration packages, change the settings (if necessary), re-create data connections, and set input and output mappings again. If you want to use all your existing pipelines and settings, install the previously used version of the application. |
Install the previously used version of the application. In case you want to switch to the new version, please uninstall the current application and do an installation afterwards. |
E00003 |
A problem occurred during file operations; we cannot save the imported file. Try restarting AI Inference Server within Management of Edge device and re-importing the configuration package. |
Restart the AI Inference Server application within Management of Edge device and re-import the configuration package. |
E00004 |
We cannot load the readme file. Try again later or try restarting AI Inference Server within Management of Edge device. |
Try again later or restart the AI Inference Server application. |
E10001 |
The pipeline is not active anymore or another user deleted the pipeline. Try refreshing this page in your Internet browser and try again. |
Refresh page of the AI Inference Server within your Internet Browser. |
E10002 |
You cannot create the pipeline due to an internal database problem. Try restarting AI Inference Server within Management of Edge device and re-import the configuration package. |
Restart the AI Inference Server application within Edge Management System and re-import the configuration package. |
E10003 |
You cannot update the pipeline due to an internal database problem. Try restarting AI Inference Server within Management of Edge device and try again. |
Restart the AI Inference Server application within Edge Management System and reload (refresh) page of AI Inference Server within Internet Browser. |
E10005 |
Connector does not exist, it is not created yet, or it has been deleted. Try creating and setting available connectors for the pipeline. |
Refresh page of the AI Inference Server within your Internet Browser. |
E10006 |
A connector with this name already exists. Try using another name. |
Update name of the connector. |
E10008 |
You cannot activate the pipeline due to an internal database problem. Try restarting AI Inference Server within Management of Edge device and try activating again. |
Restart the AI Inference Server application within Edge Management System. |
E20001 |
The pipeline ID for this action is invalid. Try using a valid UUID with 36 characters. |
Length of the ID should be 36 characters (UUID). |
E20002 |
Pipeline status is incorrect to start execution. You can start only pipelines in Mapped, Waiting or Error status. |
Refresh page of the AI Inference Server within your Internet Browser. Status should be Mapped, Waiting or Error. |
E20003 |
Pipeline status is incorrect to stop or pause execution. You can stop only pipelines in Running or Waiting status and pause pipelines only in Running status. |
Refresh page of the AI Inference Server within your Internet Browser. Status should be Running or Waiting. |
E20005 |
The credentials are missing for a connection which is in use for the pipeline. Please review the selected connections to set the proper username and password where authentication is required. |
Enter valid credentials. Password must be minimum 3 maximum 20 characters. |
E20006 |
The credentials are missing for a connection which is in use for the pipeline. Please review the selected connections to set the proper username and password where authentication is required. |
Set credentials for the selected data connector. |
E20012 |
There is incorrect mapping value for an input or output. Try using a mapping value with maximum 200 characters. |
Set a valid topic for variable: length of the topic should be maximum 200 characters. |
E20013 |
Validation problem. The Package ID in the configuration package is incorrect. Please check whether the Package ID is generated by AI SDK. It should be a valid UUID with 36 characters. |
Length of the ID should be 36 characters (UUID). |
E20015 |
You cannot pause pipeline execution due to background processes. You can pause pipelines only in Running status, please try again. |
Refresh page of the AI Inference Server within your Internet Browser. Pipeline can be paused only in running state. |
E20016 |
You cannot stop pipeline execution due to background processes. You can stop pipelines only in Running or Waiting status, please try again. |
Refresh page of the AI Inference Server within your Internet Browser. Pipeline can be only be stopped in initializing, starting, Running or Paused state. |
E20018 |
Incorrect name or host of connector: To proceed, try another name or host with maximum 200 characters. |
Provide correct values for the fields. Length of the topic should be maximum 200 characters. Name, host, connector type, payload type and port are mandatory fields for connector creation. Payload type should be S7Json, VisionConnectorRaw, ZmqImageOutput or String. Port should be a positive integer. |
E20023 |
You cannot delete or update the connection because a pipeline is running. Try again when the pipeline execution stops. |
Stop pipeline execution. |
E20027 |
Incorrect parameter topic during updating the parameters. Try using another topic with maximum 200 characters. |
Provide parameter ID. Length of the value and topic fields should be maximum 200 characters. |
E20028 |
A pipeline with the same package ID and version number already exists. If you want to import a configuration package with this package ID, try importing another version. |
Use different package ID or version. |
E20029 |
You have reached the maximum number of activated pipelines. Try deactivating a deployed pipeline. |
Try to activate fewer pipelines or deactivate some pipelines and try again. |
E20030 |
A pipeline with the same name and version number already exists. If you want to import a configuration package with this name, try importing another version. |
Use different name or version. |
E20031 |
Some inputs and outputs have the same mapping. |
Correct the mapping: input and output variables should have different mappings. |
E20032 |
You cannot execute this operation because the pipeline is not active. Try again when the pipeline is active. |
Activate the pipeline before the operation. |
E20033 |
You cannot execute this operation because the pipeline is active. Try again when the pipeline is not active. |
Inactivate the pipeline before the operation. |
E20034 |
You cannot execute this operation as long as the pipeline is in this status. Try changing the pipeline status. |
Correct the status of the pipeline, e.g. stop execution if the pipeline is running, or activate the pipeline if it is only in available status. |
E20035 |
Validation problem. Try refreshing this page in your Internet browser and try again. |
Try to refresh the page in the browser and try again. |
E20037 |
Parallel import is not allowed. Please wait until the operation is complete. |
Wait until the operation is complete. If the operation is complete but the error still appears, then restart the AI Inference Server application within Edge Management System. |
E20038 |
Operation of pipeline execution is in progress. Please wait until the operation is complete. |
Wait until the operation is complete. If the operation is complete but the error still appears, then restart the AI Inference Server application within Edge Management System. |
E20040 |
A selected connector does not exist. Try refreshing this page in your Internet browser and try again. |
Try to refresh the page in the browser and try again. |
E20043 |
This connector type does not support tags. Try using another connector type and payload format. |
Change the connector type or payload type. Use a different connector. |
E20044 |
Data type and connector payload format do not match. Try selecting another connector. |
Try to refresh the page in the browser and try again. |
E20045 |
The application does not support the data type of one or more inputs, outputs, or parameters. Try modifying the type in the pipeline configuration package and re-importing it. |
Fix the type in the configuration package and re-import it. |
E20047 |
Default value of the parameter is not valid for its data type. Please modify the pipeline configuration package and re-import it. |
Modify the pipeline configuration package and re-import it. |
E20048 |
The origin pipeline ID in the configuration package is incorrect. Please check whether the origin ID is generated by AI SDK. It should be a valid UUID. |
Check the origin pipeline ID. |
E20049 |
Pipeline internal status is incorrect to start execution. Please try again. You can check logs for more details. Restart of AI Inference Server application within Management of Edge device can be necessary. |
Try again. You can check logs for more details. Restart of AI Inference Server application within Management of Edge device can be necessary. |
E20050 |
Mapping should contain subtopic or wildcard for SIMATIC S7 Connector. |
Set proper mapping for the variable with subtopic after a colon (topic:subtopic) or use wildcard (topic/#) for S7 Connector, e.g. ie/d/j/simatic/v1/s7c1/dp/r/plc1/motor1:001 or ie/d/j/simatic/v1/s7c1/dp/r/plc1/motor1/#. |
E20051 |
Wildcard is not allowed in the mapping for the selected connector. |
Set proper mapping for the variable, wildcard (topic/#) is not allowed for the current connector. |
E20052 |
Mapping should contain subtopic for SIMATIC S7 Connector. |
Set proper mapping for the parameter with subtopic after a colon (topic:subtopic) for S7 Connector. e.g. ie/d/j/simatic/v1/s7c1/dp/r/plc1/motor1:001. |
E20053 |
The installed AI Inference Server does not support GPU. |
Install AI Inference Server which supports GPU. |
E20054 |
The selected connector does not support the data persistency. Try selecting Databus connector. |
Select Databus connector for the variable. |
E40001 |
The application cannot parse the pipeline configuration file. Please provide a valid pipeline and runtime configuration file. |
Provide valid pipeline and runtime configuration file (missing file, reading error, invalid yaml). |
E40002 |
The application cannot parse the pipeline configuration file. Please provide a valid metadata, pipeline and runtime configuration file. |
Provide valid metadata, pipeline and runtime configuration file (parsing error). |
E40003 |
The application cannot find the readme file on the file system. Try again later or try re-importing the configuration package. |
Try again later or restart the AI Inference Server application. |
E50000 |
An internal server problem occurred. Try again later. You can check logs for more details. Restart of AI Inference Server application within Management of Edge device can be necessary. |
Restart the AI Inference Server application within Edge Management System and refresh page of the AI Inference Server within your Internet Browser. |
E60000 |
An internal server problem occurred. Please check the connection or try restarting Databus application within Management of Edge device. |
Check the connection for Databus. Restart the Databus application within Edge Management System and refresh page of the AI Inference Server within your Internet Browser. |
E60002 |
AI Inference Server cannot connect to data connector. Please check your username and password, set proper port number and verify the connection. |
Provide valid user name and password. |
E70001 |
We cannot set the log level for the background services, so we cannot create debug log messages. Try restarting AI Inference Server within Management of Edge device. |
Restart the AI Inference Server application within Edge Management System and refresh page of the AI Inference Server within your Internet Browser. |
E70002 |
We cannot download the log archive. Try restarting AI Inference Server within Management of Edge device. |
File system problem. |
E70003 |
We cannot delete the log files. Try restarting AI Inference Server within Management of Edge device. |
File system problem. |
E80000 |
We cannot import the pipeline configuration file. Try re-importing the configuration package or restarting AI Inference Server within Management of Edge device. |
Try to import the pipeline configuration package again or restart the AI Inference Server application within Edge Management System and refresh page of the AI Inference Server within your Internet Browser. |
E80001 |
The imported configuration package is designed for running on GPU accelerated hardware. The currently used AI Inference Server supports the model execution only on CPU. Please check whether your Edge device contains GPU hardware and install GPU enabled AI Inference Server application. |
Install AI Inference Server which supports GPU. |
15001 |
A Runtime Python Interpreter problem occurred. We lost some data during message transfer. Please check the performance of the Steps and change them to not have a slower one as a later Step. |
N\A |
41100 |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
41101 |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
41102 |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
41103 |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
Databus (MQTT) connection is having problems. Make sure that Databus application is up and running. |
41314 |
ZMQ (internal) communication was not successful between two components. Try restarting the AI Inference Server application within Management of Edge device and refreshing this page within your Internet browser. |
ZMQ (internal) communication was not successful between two components. Restart the AI Inference Server application within Edge Management System and refresh page of the application within your internet browser. |
41317 |
ZMQ (internal) communication was not successful between two components. Try restarting the AI Inference Server application within Management of Edge device and refreshing this page within your Internet browser. |
ZMQ (internal) communication was not successful between two components. Restart the AI Inference Server application within Edge Management System and refresh page of the application within your internet browser. |
41334 |
ZMQ (internal) communication was not successful between two components. Try restarting the AI Inference Server application within Management of Edge device and refreshing this page within your Internet browser. |
ZMQ (internal) communication was not successful between two components. Restart the AI Inference Server application within Edge Management System and refresh page of the application within your internet browser. |
41337 |
ZMQ (internal) communication was not successful between two components. Try restarting the AI Inference Server application within Management of Edge device and refreshing this page within your Internet browser. |
ZMQ (internal) communication was not successful between two components. Restart the AI Inference Server application within Edge Management System and refresh page of the application within your internet browser. |
90004 |
Unexpected error happened. A 3rd party library or an external component (Data connectors, network) may cause it. |
Unexpected error happened. A 3rd party library or an external component (Data connectors, network) may cause it. |
90010 |
Error happened during the initialization of the pipeline. Please check previous error messages in the log. |
Error happened during the initialization of the pipeline. Please check previous error messages in the log. |
90026 |
Out of available ports. |
A port range is defined for communication purposes. This message means there are no more free ports available. Restart your device and all existing applications/services available on your Edge device. |
90049 |
Worker node has not responded in configured time interval, considering error state. |
Check whether AI Runtime application is running and check health of Edge Management System. |
90069 |
Orchestrator startup: not all of the runtime managers started up in the defined interval. Runtime managers not running: {} |
Restart the AI Inference Server application. |
90072 |
An internal error occurred. Check the logs for further details. |
N\A |
90073 |
A Network communication related error occurred. Check the logs for further details. |
N\A |
90074 |
A Validation error occurred. Check the logs for further details. |
N\A |
90075 |
An error occurred when parsing input data from another internal component. Check the logs for further details. |
N\A |
90076 |
A Configuration error occurred. Check the logs for further details. |
N\A |
90077 |
An internal error occurred. Check the logs for further details. |
N\A |
90078 |
An internal error occurred in a Runtime instance. Check the logs for further details. |
N\A |
90079 |
A Data conversion error occurred. Check the logs for further details. |
N\A |
90080 |
An internal error occurred. Check the logs for further details. |
N\A |
90081 |
An invalid operation has been requested. Check the logs for further details. |
N\A |
90082 |
A pipeline step defines itself as batch input aware, but its predecessor step is not batch output aware. |
Please correct the Pipeline config and re-import the package. |
90083 |
The first step is batch input aware, but the batch feature is allowed only between steps. In other words, the Batch mode at pipeline inputs/outputs are not supported. |
Please correct the Pipeline config and re-import the package. |
90084 |
The predecessor is batch output aware, but the actual step is not. |
Please correct the Pipeline config and re-import the package. |
90085 |
There is a step which is batch output aware but there is no other step configured to use it as batch. |
Please correct the Pipeline config and re-import the package. |
90086 |
The input variable type of a step does not match with the output type of its predecessor step's field. |
Please correct the Pipeline config and re-import the package. |
90087 |
The reference to a predecessor step is invalid. |
This issue should be detected in the Web Service part. |
90088 |
The predecessor step does not have a field referred from the current step as output field. |
This issue should be detected in the Web Service part. |
90089 |
A Configuration error occurred. Check the logs for further details. |
N\A |
90090 |
A Configuration error occurred. Check the logs for further details. |
N\A |
MD20001 |
The imported file is not an archive. |
Only zip archive allowed. |
MD20002 |
Configuration file is missing. |
One or more config files are missing in the package. |
MD20003 |
Component's zip package(s) is missing. |
Missing components folder or components folder does not contain component zip files. |
MD20004 |
The file name is incorrect. |
Uploaded file extension must be *.zip. |
MD20005 |
We cannot import the file because it is too large. Try uploading another file smaller than 2.2 GB. |
N/A |
MD20006 |
Some of the mandatory fields are missing from component (entrypoint, name, version, replicas, runtime/type, runtime/version, hwType). Please check and fill the missing fields in the AI SDK. |
Some of the mandatory fields are missing from component (entrypoint, name, version, replicas, runtime/type, runtime/version, hwType). |
MD20007 |
Some of the mandatory fields are missing from pipeline_config.yml (projectName, dataFlowPipelineVersion). Please check and fill the missing fields in the AI SDK. |
Some of the mandatory fields are missing from pipeline_config.yml (projectName, dataFlowPipelineVersion). |
MD20008 |
Some of the mandatory fields are missing from pipeline_config.yml (dataFlowPipelineInfo). Please check and fill the missing fields in the AI SDK. |
Some of the mandatory fields are missing from pipeline_config.yml (dataFlowPipelineInfo). |
MD20009 |
Some of the mandatory fields are missing from pipeline_config.yml (components). Please check and fill the missing fields in the AI SDK. |
Some of the mandatory fields are missing from pipeline_config.yml (components). |
MD20010 |
PackageType is incorrect in pipeline_config.yml (valid types: full, delta). Please check it and make the corrections. |
Mandatory field packageType is invalid in pipeline_config.yml (valid types: full, delta). |
MD20011 |
OriginVersion is missing or incorrect in pipeline_config.yml. Please check it and make the corrections. |
Mandatory field originVersion is missing or invalid in pipeline_config.yml (mandatory when packageType is delta). |
MD20012 |
Entrypoint python script missing from component file. Please check it and make the corrections. |
Entrypoint python script missing from component file. |
MD20013 |
Zip file header is incorrect. Please check it and make the corrections. |
Zip file header is invalid. |
MD20014 |
Mandatory files are missing from imported package. Please provide a valid pipeline and runtime configuration file. |
Mandatory files missing from uploaded package. (mandatory files: pipeline_config.yml, runtime_config.yml). |
MD20015 |
The Package ID in the configuration package is incorrect. Please check whether the Package ID is generated by AI SDK and if it is a valid UUID with 36 characters. |
Mandatory "id" field is missing or invalid in request body. |
MD20016 |
An internal server problem occurred. Try again later. |
Mandatory "path" field is missing or empty in request body. |
MD20017 |
The imported configuration package is designed for running on GPU accelerated hardware. The currently used AI Inference Server supports the model execution only on CPU. Please check whether your Edge device contains GPU hardware and install GPU enabled AI Inference Server application. |
The hardware type of component "{}" is GPU, but the used AI Inference Server does not support GPU. |
MD20018 |
The format of the runtime version in the configuration package is incorrect. The expected version format is the following: Major.Minor.Patch (optional). Please provide a valid pipeline and runtime configuration file. |
Mandatory runtime "version" field is invalid. |
MD20100 |
We cannot read the imported file. Try again or try generating new package if the problem still occurs. |
N/A |
MD20101 |
We cannot unpack the imported file. Try again or try generating new package if the problem still occurs. |
N/A |
MD20102 |
We cannot get the origin pipeline for delta package. Try again later. |
N/A |
MD20104 |
An internal server problem occurred. Try again later. |
The merge operation failed after uploading a delta package. |
MD20105 |
We cannot get the origin pipeline for delta package. Try uploading the origin package again or using full configuration. |
The origin pipeline version must be available in AI Inference Server. |
MD20106 |
An internal server problem occurred. Try again later. |
Only one pipeline can exist with given name and version. |
MD20107 |
An internal server problem occurred. Try again later. |
N/A |
MD20108 |
An internal server problem occurred. Try again later. |
N/A |
MD20109 |
An internal server problem occurred. Try again later. |
N/A |
RM70007 |
We cannot unpack the zip file. Check the logs for further details and fix the Pipeline package. |
Unpacking zip failed. |
RM70010 |
We cannot write the step configuration file for the Python Runtime step, it failed at operating system level. Check the available volume space for the Python Runtime container in the Industrial Edge Management System. |
Cannot write executor config. |
RM70013 |
The Python WHL installation phase has failed at the Operating system level. Check the logs for further details. |
Couldn't execute the pip command. |
RM70015 |
An internal error occurred: the HTTP request to Model Distributor has failed. Check the logs for further details. |
Failed to connect to Modeldistributor. |
RM70017 |
The Download HTTP request to Model Distributor has failed. Check the logs for further details. |
Download returned invalid HTTPS status code. |
RM70018 |
The Download HTTP request returned with invalid HTTP header. Check the logs for further details. |
Expected headers not found in download response. |
RM70019 |
We cannot store the downloaded model file. Check the logs for further details. |
Failed to write downloaded Edge package to location. |
RM70021 |
The unzip command has failed. Check the logs for further details. |
Unzip command exited with error code. |
RM70025 |
We cannot prepare Python environment during Pipeline step initialization. Check the logs for further details. |
Failed to prepare Python environment. |
RM70026 |
The Python WHL installation phase has failed. Check the logs for further details. |
Failed to deploy the Python packages/wheel files. |
RM70027 |
We cannot prepare External environment during Pipeline step initialization. Check the logs for further details. |
Failed to prepare External environment. |
RM70028 |
The configuration package contains incompatible Python version. Supported Python versions are 3.8.18, 3.10.13. |
Incompatible Python version. |
00001 |
An internal error occurred. The step configuration in the pipeline_config.yml is inconsistent. Either the name or version is missing, check it and make the corrections. |
The step configuration in the pipeline_config.yml is inconsistent. Either the name or version is missing. |
00002 |
The pipeline package is inconsistent. The step configurations in the pipeline_config.yml and the provided step ZIP files should be named the same way. Check it and make the corrections. |
Check the pipeline package. The step/component names in the pipeline_config.yml and the provided component ZIP names are not consistent. |
00003 |
An internal error occurred. We cannot find the initialized step configuration. Try restarting AI Inference Server within Management of Edge device. |
Inconsistent initialization and start. Try to restart the AI Inference Server. |
00004 |
A Start command has arrived while the pipeline step is already in Running status. Try restarting AI Inference Server within Management of Edge device. |
Restart the AI Inference Server. |
00005 |
An unexpected error occurred during Pipeline action. Check the logs for further details. |
Check the logs for further details. |
00007 |
A Stop command has arrived while the pipeline step is not in Running status. Try restarting AI Inference Server within Management of Edge device. |
Restart the AI Inference Server. |
00008 |
A Delete command has arrived while the pipeline step is in Running status. Try restarting AI Inference Server within Management of Edge device. |
Restart the AI Inference Server. |
PY61001 |
Runtime Python Interpreter failed in importing external python module. Check the python script and make the corrections. |
Failing to import external python module. |
PY61002 |
A Runtime Python Interpreter data handling problem occurred. There is a missing input field, or the script has an error. Check it and try again. |
The error occurs if an input field is missing or there is an error in the passed script. |
PY61003 |
A Runtime Python Interpreter output validation problem occurred. The script cannot return anything. Check it and make the corrections. |
Script has run but returned nothing. |
PY61004 |
Runtime Python Interpreter output should be an object. Check it and make the corrections. |
Output is not an object. |
PY61005 |
Runtime Python Interpreter output format is incorrect. The correct format can be found in the user manual. Check it and make the corrections. |
The error occurs when: Returned object does not have a Ready field / the Ready field has an invalid type. Or if the Ready field is true and the Output field is missing or has an invalid type. |
PY61007 |
Reserved memory for Runtime Python Interpreter has reached the limit. Try reducing the number of used libraries inside the Python code or making some optimizations (e.g., on model or code). |
Internal error. Script killed by OOM. |
PY61008 |
A Runtime Python Interpreter Initialization problem occurred. Python Interpreter does not handle exceptions. The exception is raised in Python Runtime. |
Exception not handled by Python Interpreter, exception raised from Python Runtime. |
PY61009 |
A Runtime Python Interpreter Initialization problem occurred. We cannot update parameters; we have not initialized python module yet. You can check logs for more details. |
Parameter update failure, python module not yet initialized. |
PY61010 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
One of the output fields has invalid value. |
PY61011 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
Invalid inner fields in case of Object type. |
PY61012 |
A Runtime Python Interpreter output field is not presented. Check the python script and make the corrections. |
The output either by the run method or process_input method should contain at least one variable. For run method option, only if "ready" is set to True. |
PY61013 |
A Runtime Python Interpreter output field is not presented. Check the python script and make the corrections. |
The output should contain at least one of the expected variables. |
PY61014 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
One of the expected variables is missing from the output. |
PY61015 |
An internal error occurred. Check the logs for further details. |
N\A |
PY61016 |
A Network communication related error occurred. Check the logs for further details. |
N\A |
PY61017 |
A Validation error occurred. Check the logs for further details. |
N\A |
PY61018 |
An error occurred when parsing input data from another internal component. Check the logs for further details. |
N\A |
PY61019 |
A Configuration error occurred. Check the logs for further details. |
N\A |
PY61020 |
An internal error occurred. Check the logs for further details. |
N\A |
PY61021 |
A Python Runtime internal error occurred. Check the logs for further details. |
N\A |
PY61022 |
A Data conversion error occurred. Check the logs for further details. |
N\A |
PY61023 |
An internal error occurred. Check the logs for further details. |
N\A |
PY61024 |
Runtime Python Interpreter failed in converting data to/from numpy array. Add numpy to requirements. |
N\A |
PY61025 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
N\A |
PY61026 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
N\A |
PY61027 |
A Runtime Python Interpreter output validation problem occurred. Check the python script and make the corrections. |
N\A |
PY61028 |
The batch output was set for the script but it has not returned a Python 'list' which is the expected type at batch output. |
N\A |
PY61029 |
The 'run' method does not support the batch mode. It should be replaced with the process_input method in the script. |
N\A |
70002 |
An Internal error occurred during a GPU inference request. |
N/A |
70003 |
An unexpected error occurred during a GPU inference request. |
N/A |
70004 |
An unexpected error occurred during a GPU inference request. |
N/A |
70005 |
The model has an unknown input or output data type. |
Fix the model. |
70006 |
The model field cannot be converted for the AI IS field type configured in the Pipeline config. |
Fix the model and/or the pipeline config. |
70008 |
The inference input does not contain the mandatory input field. |
Fix the pre-processing script. Additionally check and fix the pipeline config too. |
70009 |
The input tensor name does not exist in the model metadata. |
Fix the pipeline config. Additionally check the names used in it and the input names of the model. |
70010 |
The output tensor name is not configured in the pipeline. |
Fix the pipeline config. Additionally check the names used in it and the input names of the model. |
70013 |
The GPU inference library reported an error. |
N/A |
70015 |
Unsupported output field type. |
Fix the model. |
70016 |
The byte size of the GPU inference response differs from the expected byte size. |
Check and fix the model. |
70017 |
The GPU inference library cannot be initialized on time. |
Check the GPU availability for AI Inference Server in the Resource Manager for the specific Edge Box. |
70018 |
The model metadata contains an unknown field type for AI Inference Server. |
Fix the model. |
70019 |
The model metadata contains an inconsistent type. Example FP32 vs DoubleArray. |
Fix the model and/or the pipeline config. |
70021 |
The model metadata contains an unknown field name for AI Inference Server. |
Fix the model and/or the pipeline config. |
70022 |
The input shape cannot be determined from the model metadata. |
Fix the model. |
70023 |
The input tensor field type cannot be determined from the model metadata. |
Fix the model. |
70050 |
A lower-level internal error occurred. |
Check the logs for further details. |
70051 |
A lower-level network error occurred. |
Check the logs for further details. |
70052 |
A lower-level validation error occurred. |
Check the logs for further details. |
70053 |
A lower-level validation error occurred. |
Check the logs for further details. |
70054 |
A lower-level configuration error occurred. |
Check the logs for further details. |
70055 |
An internal error occurred. |
Check the logs for further details. |
70056 |
An internal error occurred. |
Check the logs for further details. |
70057 |
A lower-level data conversion error occurred. |
Check the logs for further details. |
70058 |
An internal error occurred. |
Check the logs for further details. |
70059 |
The batch number of input of the inference step differs from the response batch number. |
Check the model, the Pipeline configuration and the pre-processing script. |
70060 |
All the dimensions should be greater or equal to 1 and at least one dimension is required. |
Check the model and the relevant config.pbtxt and fix them. |
70061 |
The overall size of the actual input differs from the predefined size by the shape in the model and/or model-configuration. |
Check the model and the pre-processing script and fix them. |