fix windows adapter

core/trainers/framework/network.py

@@ -58,7 +58,8 @@ class SingleNetwork(NetworkBase):
             with fluid.program_guard(train_program, startup_program):
                 with fluid.unique_name.guard():
                     with fluid.scope_guard(scope):
-                        model_path = model_dict["model"]
+                        model_path = envs.os_path_adapter(
+                            envs.workspace_adapter(model_dict["model"]))
                         model = envs.lazy_instance_by_fliename(model_path,
                                                                "Model")(None)
 
@@ -121,7 +122,8 @@ class PSNetwork(NetworkBase):
         context["model"][model_dict["name"]] = {}
         dataset_name = model_dict["dataset_name"]
 
-        model_path = model_dict["model"]
+        model_path = envs.os_path_adapter(
+            envs.workspace_adapter(model_dict["model"]))
         model = envs.lazy_instance_by_fliename(model_path, "Model")(None)
         model._data_var = model.input_data(
             dataset_name=model_dict["dataset_name"])
@@ -212,7 +214,8 @@ class PslibNetwork(NetworkBase):
             with fluid.unique_name.guard():
                 with fluid.scope_guard(scope):
                     context["model"][model_dict["name"]] = {}
-                    model_path = model_dict["model"]
+                    model_path = envs.os_path_adapter(
+                        envs.workspace_adapter(model_dict["model"]))
                     model = envs.lazy_instance_by_fliename(model_path,
                                                            "Model")(None)
                     model._data_var = model.input_data(
@@ -277,7 +280,8 @@ class CollectiveNetwork(NetworkBase):
         scope = fluid.Scope()
         with fluid.program_guard(train_program, startup_program):
             with fluid.scope_guard(scope):
-                model_path = model_dict["model"]
+                model_path = envs.os_path_adapter(
+                    envs.workspace_adapter(model_dict["model"]))
                 model = envs.lazy_instance_by_fliename(model_path,
                                                        "Model")(None)
                 model._data_var = model.input_data(

core/utils/envs.py

@@ -91,9 +91,10 @@ def set_global_envs(envs):
 
     fatten_env_namespace([], envs)
 
-    workspace_adapter()
-    os_path_adapter()
-    reader_adapter()
+    for name, value in global_envs.items():
+        if isinstance(value, str):
+            value = os_path_adapter(workspace_adapter(value))
+            global_envs[name] = value
 
 
 def get_global_env(env_name, default_value=None, namespace=None):
@@ -118,27 +119,19 @@ def paddlerec_adapter(path):
         return path
 
 
-def os_path_adapter():
-    for name, value in global_envs.items():
-        if isinstance(value, str):
-            if get_platform() == "WINDOWS":
-                value = value.replace("/", "\\")
-            else:
-                value = value.replace("\\", "/")
-            global_envs[name] = value
+def os_path_adapter(value):
+    if get_platform() == "WINDOWS":
+        value = value.replace("/", "\\")
+    else:
+        value = value.replace("\\", "/")
+    return value
 
 
-def workspace_adapter():
+def workspace_adapter(value):
     workspace = global_envs.get("workspace")
-    if not workspace:
-        return
-
     workspace = paddlerec_adapter(workspace)
-
-    for name, value in global_envs.items():
-        if isinstance(value, str):
-            value = value.replace("{workspace}", workspace)
-            global_envs[name] = value
+    value = value.replace("{workspace}", workspace)
+    return value
 
 
 def reader_adapter():