更新 'pretrain_for_c2net.py'

pretrain_for_c2net.py

@@ -174,15 +174,6 @@ def DownloadModelFromQizhi(model_url, model_dir):
         if local_rank%8==0:
             C2netModelToEnv(model_url,model_dir)
     return    
-def UploadToQizhi(train_dir, obs_train_url):
-    device_num = int(os.getenv('RANK_SIZE'))
-    local_rank=int(os.getenv('RANK_ID'))
-    if device_num == 1:
-        EnvToObs(train_dir, obs_train_url)
-    if device_num > 1:
-        if local_rank%8==0:
-            EnvToObs(train_dir, obs_train_url)
-    return
 
 parser = argparse.ArgumentParser(description='MindSpore Lenet Example')
 ### --multi_data_url,--train_url,--device_target,These 3 parameters must be defined first in a multi-dataset,
@@ -273,7 +264,4 @@ if __name__ == "__main__":
     model.train(epoch_size,
                 ds_train,
                 callbacks=[time_cb, ckpoint_cb,
-                           LossMonitor()])
-    ###Copy the trained output data from the local running environment back to obs,
-    ###and download it in the training task corresponding to the Qizhi platform
-    UploadToQizhi(train_dir,args.train_url)
+                           LossMonitor()])