diff --git a/torch/testing/_internal/common_utils.py b/torch/testing/_internal/common_utils.py
index be22441373d..4442135d1f5 100644
--- a/torch/testing/_internal/common_utils.py
+++ b/torch/testing/_internal/common_utils.py
@@ -5615,20 +5615,20 @@ def scoped_load_inline(func):
 def recover_orig_fp32_precision(fn):
     @contextlib.contextmanager
     def recover():
-        old_mkldnn_conv_p = torch.backends.mkldnn.conv.fp32_precision
-        old_mkldnn_rnn_p = torch.backends.mkldnn.rnn.fp32_precision
-        old_mkldnn_matmul_p = torch.backends.mkldnn.matmul.fp32_precision
-        old_cudnn_conv_p = torch.backends.cudnn.conv.fp32_precision
-        old_cudnn_rnn_p = torch.backends.cudnn.rnn.fp32_precision
+        old_mkldnn_conv_p = torch.backends.mkldnn.conv.fp32_precision  # type: ignore[attr-defined]
+        old_mkldnn_rnn_p = torch.backends.mkldnn.rnn.fp32_precision  # type: ignore[attr-defined]
+        old_mkldnn_matmul_p = torch.backends.mkldnn.matmul.fp32_precision  # type: ignore[attr-defined]
+        old_cudnn_conv_p = torch.backends.cudnn.conv.fp32_precision  # type: ignore[attr-defined]
+        old_cudnn_rnn_p = torch.backends.cudnn.rnn.fp32_precision  # type: ignore[attr-defined]
         old_cuda_matmul_p = torch.backends.cuda.matmul.fp32_precision
         try:
             yield
         finally:
-            torch.backends.mkldnn.conv.fp32_precision = old_mkldnn_conv_p
-            torch.backends.mkldnn.rnn.fp32_precision = old_mkldnn_rnn_p
-            torch.backends.mkldnn.matmul.fp32_precision = old_mkldnn_matmul_p
-            torch.backends.cudnn.conv.fp32_precision = old_cudnn_conv_p
-            torch.backends.cudnn.rnn.fp32_precision = old_cudnn_rnn_p
+            torch.backends.mkldnn.conv.fp32_precision = old_mkldnn_conv_p  # type: ignore[attr-defined]
+            torch.backends.mkldnn.rnn.fp32_precision = old_mkldnn_rnn_p  # type: ignore[attr-defined]
+            torch.backends.mkldnn.matmul.fp32_precision = old_mkldnn_matmul_p  # type: ignore[attr-defined]
+            torch.backends.cudnn.conv.fp32_precision = old_cudnn_conv_p  # type: ignore[attr-defined]
+            torch.backends.cudnn.rnn.fp32_precision = old_cudnn_rnn_p  # type: ignore[attr-defined]
             torch.backends.cuda.matmul.fp32_precision = old_cuda_matmul_p
 
     return recover()(fn)