105     def __init__(self,  argument
221     def save_multiple_dim_array_in_txt(self, file, data):  argument
225     def load_multiple_dim_array_from_txt(self, file):  argument
231     def convert_tensor_np(self, tensor_in, converter, *qminmax):  argument
242     def convert_tensor(self, tensor_in, converter, *qminmax):  argument
260 … def get_randomized_data(self, dims, npfile, regenerate, decimals=0, minrange=None, maxrange=None):  argument
283     def get_randomized_input_data(self, input_data, input_shape=None):  argument
295     def get_randomized_bias_data(self, biases):  argument
309     def format_output_file(self, file):  argument
320     def write_c_header_wrapper(self):  argument
331     def write_common_config(self, f, prefix):  argument
344     def write_c_common_header(self, f):  argument
348     def write_c_config_header(self, write_common_parameters=True) -> None:  argument
372     def get_data_file_name_info(self, name_prefix) -> (str, str):  argument
377     def generate_c_array(self, name, array, datatype="int8_t", const="const ") -> None:  argument
409     def set_output_dims_and_padding(self, output_x, output_y):  argument
428     def generate_data(self, input_data=None, weights=None, biases=None) -> None:  argument
431     def quantize_scale(self, scale):  argument
436     def get_calib_data_func(self, n_inputs, shape):  argument
450 …def convert_and_interpret(self, model, inttype, input_data=None, dataset_shape=None) -> Interprete…  argument
500     def generate_json_from_template(self,  argument
536     def flatc_generate_tflite(self, json_input, schema):  argument
550     def to_bytes(self, tensor_data, type_size) -> bytes:  argument
571     def __init__(self,  argument
634     def write_c_config_header(self) -> None:  argument
650     def generate_quantize_per_channel_multiplier(self):  argument
667     def generate_data(self, input_data=None, weights=None, biases=None) -> None:  argument
753     def __init__(self,  argument
799     def generate_data(self, input_data=None) -> None:  argument
846     def write_c_config_header(self) -> None:  argument
859     def __init__(self,  argument
909     def write_c_config_header(self) -> None:  argument
923     def quantize_multiplier(self):  argument
930     def generate_data(self, input_data=None, weights=None, biases=None) -> None:  argument
1011     def __init__(self,  argument
1061     def calc_softmax_params(self):  argument
1074     def write_c_config_header(self) -> None:  argument
1090     def get_softmax_randomized_input_data(self, input_data, input_shape):  argument
1100     def generate_data(self, input_data=None, weights=None, biases=None) -> None:  argument
1152     def __init__(self,  argument
1242 …def calc_multipliers_and_shifts(self, input_scale, weights_1_scale, weights_2_scale, state_scale, …  argument
1248     def write_c_config_header(self) -> None:  argument
1273 …def generate_data(self, input_data=None, weights=None, biases=None, time_data=None, state_data=Non…  argument
1366     def get_scale_and_zp(self, layer):  argument
1372     def __init__(self,  argument
1418     def generate_data(self, input_data1=None, input_data2=None) -> None:  argument
1483     def write_c_config_header(self) -> None:  argument
1510     def __init__(self,  argument
1579 …  def generate_data(self, input_data=None, weights=None, hidden_weights=None, biases=None) -> None:  argument
1785     def calc_scales(self, input_scale, output_state_scale):  argument
1813 …def calc_effective_bias(self, interpreter, zero_point, weight_tensor, bias_tensor, has_bias=True) …  argument
1834     def write_c_config_header(self) -> None:  argument