ShengZhaoDUT

format the code ```python def freeze_model(self): freeze_model_dir = "freeze_model_dir" save_dir = 'checkpoints/' save_path = os.path.join(save_dir, 'best_validation') start_time = time() print("freeze model...") SIGNATURE_NAME = "serving_default" builder = tf.saved_model.builder.SavedModelBuilder(freeze_model_dir) inputs = {'feat_index':...

> 同问，savedmodel保存为空，这个问题有人解决了吗？ ```python with tf.name_scope("embedding"): self.weights = self._initialize_weights() # model self.embeddings = tf.nn.embedding_lookup(self.weights["feature_embeddings"], self.feat_index) # None * F * K feat_value = tf.reshape(self.feat_value, shape=[-1, self.field_size, 1]) self.embeddings = tf.multiply(self.embeddings, feat_value)...