fix dlrm ci

Author: wangzhen38

models/rank/dlrm/config.yaml

@@ -38,7 +38,7 @@ runner:
   thread_num: 1
 
    # use inference save model
-  inference: True  # 静态图训练时保存为inference model
+  inference: False  # 静态图训练时保存为inference model
   save_inference_feed_varnames: ["C1","C2","C3","C4","C5","C6","C7","C8","C9","C10","C11","C12","C13","C14","C15","C16","C17","C18","C19","C20","C21","C22","C23","C24","C25","C26","dense_input"] # inference model 的feed参数的名字
   save_inference_fetch_varnames: ["sigmoid_0.tmp_0"] # inference model 的fetch参数的名字
 
@@ -55,5 +55,5 @@ hyper_parameters:
   bot_layer_sizes: [512, 256, 64, 16]
   sparse_feature_number: 1000001
   sparse_feature_dim: 16
-  top_layer_sizes: [512, 256, 1]
+  top_layer_sizes: [512, 256, 2]
   num_field: 26

models/recall/ensfm/config_bigdata.yaml

@@ -16,7 +16,7 @@ runner:
   train_data_dir: "../../../datasets/ml-1m_ensfm/data/ml-1m-ensfm"
   train_reader_path: "movielens_reader"  # importlib format
   train_batch_size: 512
-  model_save_path: "output_model_ensfm"
+  model_save_path: "output_model_ensfm_all"
   mode: "train"
   use_gpu: True
   epochs: 501
@@ -25,7 +25,7 @@ runner:
   test_data_dir: "../../../datasets/ml-1m_ensfm/data/ml-1m-ensfm"
   infer_reader_path: "movielens_reader"  # importlib format
   infer_batch_size: 512
-  infer_load_path: "output_model_ensfm"
+  infer_load_path: "output_model_ensfm_all"
   infer_start_epoch: 100
   infer_end_epoch: 501