no source available for "ai_platform_inputs_get()" X-cube.AI version 7.1.0 I attach a basic code snippet which might be helpful in recreating the problem

[rickforescue]

/* USER CODE BEGIN PV */
static ai_buffer *ai_input;
static ai_buffer *ai_output;
/* USER CODE END PV */
 
int main(void){
...
	// Chunk of memory used to hold the intermediate values for neural network
	AI_ALIGNED(32) ai_u32 activations[AI_NETWORK_DATA_ACTIVATIONS_SIZE];
 
	// Buffers used to store input and output tensors
	AI_ALIGNED(32) ai_i32 in_data[AI_NETWORK_IN_1_SIZE_BYTES];
	AI_ALIGNED(32) ai_i32 out_data[AI_NETWORK_OUT_1_SIZE_BYTES];
 
	// Pointer to our model
	ai_handle my_model = AI_HANDLE_NULL;
 
	// structs that point to our input and output data and some meta data
	ai_input = ai_network_inputs_get(my_model , NULL);
	ai_output = ai_network_outputs_get(my_model , NULL);
 
....
}

As seen the function ai_network_inputs_get(ai_handle network, ai_u16 *n_buffer) resides in the network.c file and it makes a call to the ai_platform_inputs_get(network, n_buffer); in file ai_platform_interface.h

It doesnt give me any errors while running but the code breaks while getting the ai_buffer to the input of the model

I dont know what possibly can go wrong. Should I explicitally implement these functions in main() ? There exists some literature and videos on web but they are old.

Is there anyone who has faced similar problems or knows solutioon to this?

Thanks in advance

[rickforescue]

Alright, I think I found the solution to the problem.

The problem is before calling the ai_network_inputs_get function the ai model has to be created.

So the solution looks like this

 /* USER CODE BEGIN PV */
 static ai_buffer *ai_input;
 static ai_buffer *ai_output;
 /* USER CODE END PV */
 
 int main(void){
 ...
 	// Chunk of memory used to hold the intermediate values for neural network
 	AI_ALIGNED(32) ai_u32 activations[AI_NETWORK_DATA_ACTIVATIONS_SIZE];
 
 	// Buffers used to store input and output tensors
 	AI_ALIGNED(32) ai_i32 in_data[AI_NETWORK_IN_1_SIZE_BYTES];
 	AI_ALIGNED(32) ai_i32 out_data[AI_NETWORK_OUT_1_SIZE_BYTES];
 
 	// Pointer to our model
 	ai_handle my_model = AI_HANDLE_NULL;
 ..........
 /* USER CODE BEGIN 2 */
 ..........
 ai_network_params ai_params =
 {
		 {
				AI_NETWORK_DATA_WEIGHTS(ai_network_data_weights_get()),
				AI_NETWORK_DATA_ACTIVATIONS(activations)
		 }
 };
 
 // Create instance of the neural network
 ai_err = ai_network_create(&my_model, AI_NETWORK_DATA_CONFIG);
 if (ai_err.type != AI_ERROR_NONE)
 {
	 buf_len = sprintf(buf, "Error: Could not create NN instance\r\n");
	 HAL_UART_Transmit(&huart3, (uint8_t *)buf, buf_len, 100);
	 while(1);
 }
 
 // Initialize neural network. At this point we are ready to make inferences
 if (!ai_network_init(my_model, &ai_params))
 {
	 buf_len = sprintf(buf, "Error: could not initialize NN\r\n");
	 HAL_UART_Transmit(&huart3, (uint8_t *)buf, buf_len, 100);
	 while(1);
 }
 
 // structs that point to our input and output data and some meta data 
 	ai_input = ai_network_inputs_get(my_model, NULL);
 	ai_output = ai_network_outputs_get(my_model, NULL);
 
 ....
 }