删除初始化的种子设置函数

fastNLP/envs/set_backend.py

@@ -138,32 +138,12 @@ def set_env(global_seed=None):
     backend = os.environ.get(FASTNLP_BACKEND, '')
     if backend == 'paddle':
         assert _module_available(backend), f"You must have {backend} available to use {backend} backend."
-        if os.environ.get(FASTNLP_GLOBAL_SEED, None) is not None:
-            seed_paddle_global_seed(int(os.environ.get(FASTNLP_GLOBAL_SEED)))
 
     if backend == 'jittor':
         assert _module_available(backend), f"You must have {backend} available to use {backend} backend."
-        if os.environ.get(FASTNLP_GLOBAL_SEED, None) is not None:
-            seed_jittor_global_seed(int(os.environ.get(FASTNLP_GLOBAL_SEED)))
 
     if backend == 'torch':
         assert _module_available(backend), f"You must have {backend} available to use {backend} backend."
-        if os.environ.get(FASTNLP_GLOBAL_SEED, None) is not None:
-            seed_torch_global_seed(int(os.environ.get(FASTNLP_GLOBAL_SEED)))
-
-
-def seed_torch_global_seed(global_seed):
-    # @yxg
-    pass
-
-
-def seed_paddle_global_seed(global_seed):
-    # @xsh
-    pass
-
-def seed_jittor_global_seed(global_seed):
-    # @xsh
-    pass
 
 
 def dump_fastnlp_backend(default:bool = False, backend=None):