add 'experimental' declaration in dynamo example codes

Author: ZailiWang

examples/cpu/inference/BERT_torchdynamo_mode_inference_fp32.py

@@ -9,6 +9,7 @@
 seq_length = 512
 data = torch.randint(vocab_size, size=[batch_size, seq_length])
 
+# Experimental Feature
 #################### code changes ####################
 import intel_extension_for_pytorch as ipex
 model = torch.compile(model, backend="ipex")

examples/cpu/inference/resnet50_torchdynamo_mode_inference_fp32.py

@@ -1,11 +1,11 @@
-
 import torch
 import torchvision.models as models
 
 model = models.resnet50(weights=models.ResNet50_Weights.DEFAULT)
 model.eval()
 data = torch.rand(1, 3, 224, 224)
 
+# Experimental Feature
 #################### code changes ####################
 import intel_extension_for_pytorch as ipex
 model = torch.compile(model, backend="ipex")