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