identifier "AI_AI_DATA_ACTIVATION_1_SIZE" is undefined

[Sunjing]

..\..\AI\X-CUBE-AI\App\app_x-cube-ai.c(93):error: #20: identifier "AI_AI_DATA_ACTIVATION_1_SIZE" is undefined
static uint8_t poo10[AI_AI_DATA_ACTIVATION_1_SIZE];

...\...\AI\X-CUBE-AI\App\app_x-cube-ai.c(95): error: #28: expression must have a constant value
ai_handle data_activations0[ ] = {poo10};

 

thank u!!!!!!!!

[Andrew Neil]

Have you done a search to see if any definition of "AI_AI_DATA_ACTIVATION_1_SIZE" does exist anywhere?

 

[Sunjing]

yes,

''AI_AI_DATA_ACTIVATION_1_SIZE'' ， It only exists in ‘’app_x-cube-ai.c‘’ this file, there is no definition,

and there have two files in lib

 

when I use sklearn-onnx generate a file

 

initial_type = [('float_input', FloatTensorType([1, 270]))]
model_onnx = convert_sklearn(clf, initial_types=initial_type)
with open("adaboost-270-1.onnx", "wb") as f:
 f.write(model_onnx.SerializeToString())

I'm not sure if it's because of this place bug：initial_type = [('float_input', FloatTensorType([1, 270]))]

[fauvarque.daniel]

The correct constant is probably AI_DATA_ACTIVATION_1_SIZE

I don't know why you have twice AI_

[Sunjing]

..\..\AI\X-CUBE-AI\App\app_x-cube-ai.c(93):error: #20: identifier "AI_AI_DATA_ACTIVATION_1_SIZE" is undefined
static uint8_t poo10[AI_AI_DATA_ACTIVATION_1_SIZE];

...\...\AI\X-CUBE-AI\App\app_x-cube-ai.c(95): error: #28: expression must have a constant value
ai_handle data_activations0[ ] = {poo10};

 

but I don't know how to fix this issue

[Andrew Neil]

The second error:

...\...\AI\X-CUBE-AI\App\app_x-cube-ai.c(95): error: #28: expression must have a constant value
ai_handle data_activations0[ ] = {poo10};

Is clearly a result of the first error:

..\..\AI\X-CUBE-AI\App\app_x-cube-ai.c(93):error: #20: identifier "AI_AI_DATA_ACTIVATION_1_SIZE" is undefined
static uint8_t poo10[AI_AI_DATA_ACTIVATION_1_SIZE];

 

The first error causes your definition of poo10 to be invalid - therefore you get the 2nd error when you try to use poo10.

Thus one fix will solve both errors.

[fauvarque.daniel]

Correction, you probably named your network AI that's why the constant is like that 

 

it is defined in the network_data_params.h file (or ai_data_params.h probably in your case)

[Sunjing]

I didn't find this in file

global search didn't find anything
This parameter is only present at the invocation point and has not been defined, which is why it is reported

when I use sklearn-onnx generate a file

initial_type = [('float_input', FloatTensorType([1, 270]))]
model_onnx = convert_sklearn(clf, initial_types=initial_type)
with open("adaboost-270-1.onnx", "wb") as f:
 f.write(model_onnx.SerializeToString())

The first time I used the following code

 initial_type = [('float_input', FloatTensorType([None, 2]))] 

can success, but the input data for the algorithm model is 1x270

so I changed the code to

initial_type = [('float_input', FloatTensorType([1, 270]))]

but when I use this code.

This problem has occurred

【..\..\AI\X-CUBE-AI\App\app_x-cube-ai.c(93):error: #20: identifier "AI_AI_DATA_ACTIVATION_1_SIZE" is undefined
static uint8_t poo10[AI_AI_DATA_ACTIVATION_1_SIZE];

...\...\AI\X-CUBE-AI\App\app_x-cube-ai.c(95): error: #28: expression must have a constant value
ai_handle data_activations0[ ] = {poo10};】

[Sunjing]

Is there an error generating the [.onnx] model file