直接贴代码 # 将模型保存为可用于线上服务的文件(一个.pb文件,一个variables文件夹) # print('Exporting trained model to', save_dir) builder = tf.saved_model.builder.SavedModelBuilder(save_dir) # 服务器专用代码 classification_signature = ( tf.saved_model.signature_def_utils.build_signature_def( inputs={ # "image" "input_x": tf.saved_model.utils.build_tensor_info(rnn.input_x), "dropout_keep_prob": tf.saved_model.utils.build_tensor_info(rnn.dropout_keep_prob) }, outputs={ # "classify" "output": tf.saved_model.utils.build_tensor_info(rnn.predictions) # "classification_outputs_scores": # tf.saved_model.utils.build_tensor_info(model.logits) }, # Prediction method name used in a SignatureDef. # PREDICT_METHOD_NAME = "tensorflow/serving/predict
java调用文本分类textrnn模型,勿踩坑
最新推荐文章于 2024-05-14 02:34:55 发布