更新 'gpu_mnist_example/train_gpu.py'

gpu_mnist_example/train_gpu.py

@@ -102,7 +102,7 @@ if __name__ == '__main__':
     test_loader = DataLoader(test_dataset, batch_size=batch_size)
 
     #如果有保存的模型，则加载模型，并在其基础上继续训练
-    if os.path.exists(os.path.join(pretrain_model_path + "/MNIST_Example_model_zjdt", "mnist_epoch1_0.76.pkl")):
+    if os.path.exists(os.path.join(pretrain_model_path + "/MNIST_PytorchExample_GPU_test34_model_7f9j", "mnist_epoch1_0.70.pkl")):
         checkpoint = torch.load(os.path.join(pretrain_model_path + "/MNIST_Example_model_zjdt", "mnist_epoch1_0.76.pkl"))
         model.load_state_dict(checkpoint['model'])
         optimizer.load_state_dict(checkpoint['optimizer'])