Lines Matching full:param

78  * @param model Model object handle address.
85  * @param model Model object handle.
86  * @param model_data Define the buffer read from a model file.
87  * @param data_size Define bytes number of model file buffer.
88  * @param model_type Define The type of model file.
89  * @param model_context Define the context used to store options during execution.
98  * @param model Model object handle.
99  * @param model_path Define the model file path.
100  * @param model_type Define The type of model file.
101  * @param model_context Define the context used to store options during execution.
110  * @param model Model object handle.
111  * @param inputs The array that includes all input tensor handles.
112  * @param shape_infos Defines the new shapes of inputs, should be consistent with inputs.
113  * @param shape_info_num The num of shape_infos.
122  * @param model Model object handle.
123  * @param inputs The array that includes all input tensor handles.
124  * @param outputs The array that includes all output tensor handles.
125  * @param before CallBack before predict.
126  * @param after CallBack after predict.
136  * @param model Model object handle.
144  * @param model Model object handle.
152  * @param model Model object handle.
153  * @param tensor_name The name of tensor.
161  * @param model Model object handle.
162  * @param tensor_name The name of tensor.
177  * @param train_cfg TrainCfg object handle.
184  * @param train_cfg TrainCfg object handle.
185  * @param num The num of loss_name.
193  * @param train_cfg TrainCfg object handle.
194  * @param loss_name Define part of the name that identify a loss kernel.
195  * @param num The num of loss_name.
202  * @param train_cfg TrainCfg object handle.
210  * @param train_cfg TrainCfg object handle.
211  * @param level The optimization level of train_cfg.
218  * @param model Model object handle.
219  * @param model_data Define the buffer read from a model file.
220  * @param data_size Define bytes number of model file buffer.
221  * @param model_type Define The type of model file.
222  * @param model_context Define the context used to store options during execution.
223  * @param train_cfg Define the config used by training.
233  * @param model Model object handle.
234  * @param model_path Define the model path.
235  * @param model_type Define The type of model file.
236  * @param model_context Define the context used to store options during execution.
237  * @param train_cfg Define the config used by training.
248  * @param model Model object handle.
249  * @param before CallBack before predict.
250  * @param after CallBack after predict.
259  * @param learning_rate to set.
267  * @param model Model object handle.
275  * @param model Model object handle.
283  * @param new_weights A vector new weights.
291  * @param model Model object handle.
299  * @param model Model object handle.
300  * @param train True means model runs in Train Mode, otherwise Eval Mode.
308  * @param model Model object handle.
309  * @param virtual_batch_multiplier Virtual batch multiplier, use any number < 1 to disable.
310  * @param lr Learning rate to use for virtual batch, -1 for internal configuration.
311  * @param momentum Batch norm momentum to use for virtual batch, -1 for internal configuration.
320  * @param model The model data.
321  * @param model_type The model file type.
322  * @param model_file The exported model file.
323  * @param quantization_type The quantification type.
324  * @param export_inference_only Whether to export a reasoning only model.
325  * @param output_tensor_name The set the name of the output tensor of the exported reasoning model, default as
327  * @param num The number of output_tensor_name.
337  * @param model The model data.
338  * @param model_type The model file type.
339  * @param model_data The exported model buffer.
340  * @param data_size The exported model buffer size.
341  * @param quantization_type The quantification type.
342  * @param export_inference_only Whether to export a reasoning only model.
343  * @param output_tensor_name The set the name of the output tensor of the exported reasoning model, default as
345  * @param num The number of output_tensor_name.
355  * @param model The model data.
356  * @param model_type The model file type.
357  * @param weight_file The path of exported weight file.
358  * @param is_inference Whether to export weights from a reasoning model. Currently, only support this is `true`.
359  * @param enable_fp16 Float-weight is whether to be saved in float16 format.
360  * @param changeable_weights_name The set the name of these weight tensors, whose shape is changeable.
361  * @param num The number of changeable_weights_name.