fix

doc/yaml.md

+# 全局配置
+debug: false
+workspace: "."
+
+
+# 用户可以配多个dataset，exector里不同阶段可以用不同的dataset
+dataset:
+  - name: sample_1
+    type: DataLoader #或者QueueDataset
+    batch_size: 5
+    data_path: "{workspace}/data/train"
+    # 用户自定义reader
+    data_converter: "{workspace}/rsc15_reader.py"
+
+  - name: sample_2
+    type: QueueDataset #或者DataLoader
+    batch_size: 5
+    data_path: "{workspace}/data/train"
+    # 用户可以配置sparse_slots和dense_slots，无需再定义data_converter
+    sparse_slots: "click ins_weight 6001 6002 6003 6005 6006 6007 6008 6009"
+    dense_slots: "readlist:9"
+
+
+#示例一，用户自定义参数，用于组网配置
+hyper_parameters:
+    #优化器
+    optimizer：
+        class: Adam
+        learning_rate: 0.001
+        strategy: "{workspace}/conf/config_fleet.py"
+    # 用户自定义配置
+    vocab_size: 1000
+    hid_size: 100
+    my_key1: 233
+    my_key2: 0.1
+
+
+mode: runner1
+
+runner:
+  - name: runner1 # 示例一，train
+    trainer_class: single_train
+    epochs: 10
+    device: cpu
+    init_model_path: ""
+    save_checkpoint_interval: 2
+    save_inference_interval: 4
+    # 下面是保存模型路径配置
+    save_checkpoint_path: "xxxx"
+    save_inference_path: "xxxx"
+
+  - name: runner2 # 示例二，infer
+    trainer_class: single_train
+    epochs: 1
+    device: cpu
+    init_model_path: "afs:/xxx/xxx"
+
+
+
+phase:
+- name: phase1
+  model: "{workspace}/model.py"
+  dataset_name: sample_1
+  thread_num: 1