diff --git a/PyTorch/dev/cv/image_classification/FixMatch_ID0989_for_PyTorch/train.py b/PyTorch/dev/cv/image_classification/FixMatch_ID0989_for_PyTorch/train.py
index 3f8baad87a3284ff734421c64315708834d4155a..06c94f2dd1d58ab0c8723bd8f01d866286210671 100644
--- a/PyTorch/dev/cv/image_classification/FixMatch_ID0989_for_PyTorch/train.py
+++ b/PyTorch/dev/cv/image_classification/FixMatch_ID0989_for_PyTorch/train.py
@@ -54,6 +54,7 @@ from dataset.cifar import DATASET_GETTERS
 from utils import AverageMeter, accuracy
 import apex
 
+torch.npu.set_start_fuzz_compile_step(3)
 logger = logging.getLogger(__name__)
 best_acc = 0
 
@@ -365,6 +366,8 @@ def train(args, labeled_trainloader, unlabeled_trainloader, test_loader,
             p_bar = tqdm(range(args.eval_step),
                          disable=args.local_rank not in [-1, 0])
         for batch_idx in range(args.eval_step):
+            #模糊编译
+            torch.npu.global_step_inc()
             try:
                 inputs_x, targets_x = labeled_iter.next()
             except: