FAQ

Python API FAQ

No.	Error Message	Possible Cause	Solution
1	< XX > does not contain value < YY >.	The value of input YY is not within the valid range of aidlite built-in type XX.	Check the input parameter in the error line and make sure the value is within the valid range for the corresponding aidlite built-in type.
2	<class 'XX'> expected, got <YY: <class 'ZZ'>> instead.	The data type ZZ of input YY does not match the required data type XX for the function.	Check the input parameter in the error line and ensure the data type matches the required type for the function.
3	None or empty list is not allowed for input_shapes	The value of input_shapes in the set_input_tensor method is None, while the function doesn't allow this.	Ensure the value of input_shapes in set_input_tensor is not None and check the logic for assigning or retrieving this parameter.
4	None or empty list is not allowed for output_shapes	The value of output_shapes in the set_input_tensor method is None, while the function doesn't allow this.	Ensure the value of output_shapes in set_input_tensor is not None and check the logic for assigning or retrieving this parameter.
5	The data type of out_tensor_idx must be int	The out_tensor_idx parameter in the get_output_tensor method cannot be of a non-int type.	Check if the data type of out_tensor_idx is correct.
6	out_tensor_idx should >=0	The out_tensor_idx parameter in the get_output_tensor method cannot be less than 0.	Ensure the value of out_tensor_idx is correct.
7	out_tensor_idx cannot get output_tensor	The get_output_tensor method cannot retrieve the corresponding output_tensor through the out_tensor_idx parameter.	Check if the value of out_tensor_idx is correct and whether the inference process has any exceptions.
8	TYPE_DEFAULT is invalid	The function does not allow the default value for aidlite built-in types in this context.	Modify the function input to set a value within the valid range of aidlite built-in types, excluding the default value.

C++ API FAQ

No.	Error Message	Possible Cause	Solution
1	realpath [***] failed. errmsg: No such file or directory	The model file path is incorrect or the model file does not exist.	Ensure the model file exists and the path is correct.
2	model file [***] maybe path abnormal	The model file path is incorrect or the model file does not exist.	Ensure the model file exists and the path is correct.
3	Read sysbase info file failed	Failed to read the system base information file.	Ensure the /etc/opt/aidlux/aidsys file exists and is readable.
4	Parse sysbase info failed	The content of the system base information file is abnormal.	Check the content of /etc/opt/aidlux/aidsys for abnormalities.
5	Current aidlux don't support DLC model	The current Aidlux does not support DLC model inference.	DLC models are only supported on qc8250/qc6490/qc8550 platforms. Check if you're using one of these boards.
6	Current aidlux don't support RKNN model	The current Aidlux does not support RKNN model inference.	RKNN models are only supported on the rk3588 platform. Check if you're using this board.
7	Unknown framework type	The FrameworkType type is not set.	Set the correct FrameworkType enumeration value for the model file.
8	Basic Aidlux don't support DSP/NPU	The Basic version of Aidlux does not support DSP/NPU hardware acceleration.	Use the enterprise version of Aidlux to access DSP/NPU acceleration.
9	Not support ImplementType::TYPE_&& FrameworkType::TYPE_	The current Aidlux does not support this ImplementType + FrameworkType combination.	Check and confirm that the correct Aidlite version is installed.
10	Please activate the device to use DSP/NPU	DSP/NPU hardware acceleration is only available on an activated Aidlux device.	Ensure that Aidlux is activated on your device.
11	Error while building SNPE object. ***. error_code=204; error_message=Couldn't find name. One or more specified output layers don't exist.	Failed to construct SNPE object.	Check if the snpe_out_names attribute of the Config object is filled correctly with the Node Name attribute from the model file.
12	fast init attach_ashmem failed	Failed to connect to the services needed by the ImplementType::Fast implementation.	A reboot of the Aidlux platform is usually needed to restart the dependent services.