AIfES_for_Arduino/aialgo__sequential__inference_8h_source.html

 #ifndef AIALGO_SEQUENTIAL_INFERENCE

 #define AIALGO_SEQUENTIAL_INFERENCE


 #include "core/aifes_core.h"

 #include "core/aifes_math.h"

 #include "basic/base/aimath/aimath_basic.h"

 #include "basic/default/ailayer/ailayer_dense_default.h"


 uint32_t aialgo_sizeof_inference_memory(aimodel_t *model);


 uint32_t aialgo_sizeof_parameter_memory(aimodel_t *model);


 uint8_t aialgo_schedule_inference_memory(aimodel_t *model, void *memory_ptr, uint32_t memory_size);


 void aialgo_distribute_parameter_memory(aimodel_t *model, void *memory_ptr, uint32_t memory_size);


 aitensor_t *aialgo_forward_model(aimodel_t *model, aitensor_t *input_data);


 uint8_t aialgo_inference_model(aimodel_t *model, aitensor_t *input_data, aitensor_t *output_data);


 uint8_t aialgo_compile_model(aimodel_t *model);


 void aialgo_quantize_model_f32_to_q7(aimodel_t *model_f32, aimodel_t *model_q7, aitensor_t *representative_dataset);


 void aialgo_set_model_result_precision_q31(aimodel_t *model, uint16_t shift);


 void aialgo_set_model_delta_precision_q31(aimodel_t *model, uint16_t shift);


 void aialgo_set_model_gradient_precision_q31(aimodel_t *model, uint16_t shift);


 void aialgo_print_model_structure(aimodel_t *model);


 void aialgo_set_layer_settings_model(aimodel_t *model, uint32_t bitmask, uint8_t shift, uint32_t value);


 void aialgo_set_training_mode_model(aimodel_t *model, uint8_t value);


 void aialgo_set_batch_mode_model(aimodel_t *model, uint8_t value);


 void aialgo_set_trainable_model(aimodel_t *model, uint8_t value);


 #endif // AIALGO_SEQUENTIAL_INFERENCE

aialgo_quantize_model_f32_to_q7
void aialgo_quantize_model_f32_to_q7(aimodel_t *model_f32, aimodel_t *model_q7, aitensor_t *representative_dataset)
Quantize model parameters (weights and bias)

aialgo_set_model_result_precision_q31
void aialgo_set_model_result_precision_q31(aimodel_t *model, uint16_t shift)
Initialize the quantization parameters of the layer results for Q31  data type.

aialgo_distribute_parameter_memory
void aialgo_distribute_parameter_memory(aimodel_t *model, void *memory_ptr, uint32_t memory_size)
Assign the memory for the trainable parameters (like weights, bias, ...) of the model.

aialgo_inference_model
uint8_t aialgo_inference_model(aimodel_t *model, aitensor_t *input_data, aitensor_t *output_data)
Perform an inference on the model / Run the model.

aialgo_set_training_mode_model
void aialgo_set_training_mode_model(aimodel_t *model, uint8_t value)
Enables / disables the training mode of the model.

aialgo_set_batch_mode_model
void aialgo_set_batch_mode_model(aimodel_t *model, uint8_t value)
Enables / disables the batch mode of the model.

aialgo_print_model_structure
void aialgo_print_model_structure(aimodel_t *model)
Print the layer structure of the model with the configured parameters.

aialgo_compile_model
uint8_t aialgo_compile_model(aimodel_t *model)
Initialize the model structure.

aialgo_set_model_gradient_precision_q31
void aialgo_set_model_gradient_precision_q31(aimodel_t *model, uint16_t shift)
Initialize the quantization parameters of the gradients for Q31  data type.

aialgo_set_trainable_model
void aialgo_set_trainable_model(aimodel_t *model, uint8_t value)
Freeze / Unfreeze trainable parameters of the model.

aialgo_forward_model
aitensor_t * aialgo_forward_model(aimodel_t *model, aitensor_t *input_data)
Perform a forward pass on the model.

aialgo_set_model_delta_precision_q31
void aialgo_set_model_delta_precision_q31(aimodel_t *model, uint16_t shift)
Initialize the quantization parameters of the layer deltas for Q31  data type.

aialgo_schedule_inference_memory
uint8_t aialgo_schedule_inference_memory(aimodel_t *model, void *memory_ptr, uint32_t memory_size)
Assign the memory for intermediate results of an inference to the model.

aialgo_sizeof_inference_memory
uint32_t aialgo_sizeof_inference_memory(aimodel_t *model)
Calculate the memory requirements for intermediate results of an inference.

aialgo_sizeof_parameter_memory
uint32_t aialgo_sizeof_parameter_memory(aimodel_t *model)
Calculate the memory requirements for the trainable parameters (like weights, bias,...

aialgo_set_layer_settings_model
void aialgo_set_layer_settings_model(aimodel_t *model, uint32_t bitmask, uint8_t shift, uint32_t value)
Apply the specified setting to all layers in the model.

aifes_core.h
AIfES 2 core interface.

aifes_math.h
AIfES 2 math interface.

ailayer_dense_default.h
Default implementation of the Dense layer .

aimath_basic.h
Basic data-type independent math operations.

aimodel
AIfES artificial neural network model.
Definition: aifes_core.h:181

aitensor
A tensor in AIfES.
Definition: aifes_math.h:89