def predictor_load_and_run_inference_analysis(self, model_path, model_filename, params_filename, inputs): output = PredictorTools(model_path, model_filename, params_filename, inputs) out = output() return out
def predict_analysis_inference(self, batch): words, targets, length = batch output = PredictorTools(self.args.model_save_dir, VARIABLE_FILENAME, [words, length]) out = output() return out
def predict_analysis_inference(data): output = PredictorTools(MODEL_SAVE_PATH, VARIABLE_FILENAME, data) out = output() return out
def predict_analysis_inference(self, data): output = PredictorTools(self.model_save_dir, self.model_filename, self.params_filename, [data]) out = output() return out
def predict_analysis_inference(data): output = PredictorTools(MODEL_SAVE_DIR, MODEL_FILENAME, PARAMS_FILENAME, [data]) out = output() return out
def predict_analysis_inference(self, data): output = PredictorTools(self.args.infer_dir, VARIABLE_FILENAME, [data]) out = output() return out
def predict_analysis_inference(args, data): output = PredictorTools(args.model_save_dir, args.model_filename, args.params_filename, [data]) out = output() return out
def predict_analysis_inference(args, data): output = PredictorTools(args.model_save_path, VARIABLE_FILENAME, [data]) out = output() return out
def predictor_load_and_run_inference_analysis(self, model_path, inputs): output = PredictorTools(model_path, VARIABLE_FILENAME, inputs) out = output() return out