[fix] fix the import lpot.data to lpot.experimental

Author: ClarkChin08

examples/onnxrt/language_translation/bert/bert_base.py

@@ -264,8 +264,8 @@ def eval_func(model):
     if args.benchmark:
         model = onnx.load(args.model_path)
 
-        from lpot.data.datasets.dummy_dataset import DummyDataset
-        from lpot.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
+        from lpot.experimental.data.datasets.dummy_dataset import DummyDataset
+        from lpot.experimental.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
         shapes, lows, highs = parse_dummy_input(model, args.benchmark_nums, args.max_seq_length)
         dummy_dataset = DummyDataset(shapes, low=lows, high=highs, dtype="int64")
         dummy_dataloader = ONNXRTDataLoader(dummy_dataset)

examples/onnxrt/language_translation/distilbert/bert_base.py

@@ -269,8 +269,8 @@ def eval_func(model):
     if args.benchmark:
         model = onnx.load(args.model_path)
 
-        from lpot.data.datasets.dummy_dataset import DummyDataset
-        from lpot.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
+        from lpot.experimental.data.datasets.dummy_dataset import DummyDataset
+        from lpot.experimental.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
         shapes, lows, highs = parse_dummy_input(model, args.benchmark_nums, args.max_seq_length)
         dummy_dataset = DummyDataset(shapes, low=lows, high=highs, dtype="int64")
         dummy_dataloader = ONNXRTDataLoader(dummy_dataset)

examples/onnxrt/language_translation/mobilebert/bert_base.py

@@ -265,8 +265,8 @@ def eval_func(model):
     if args.benchmark:
         model = onnx.load(args.model_path)
 
-        from lpot.data.datasets.dummy_dataset import DummyDataset
-        from lpot.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
+        from lpot.experimental.data.datasets.dummy_dataset import DummyDataset
+        from lpot.experimental.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
         shapes, lows, highs = parse_dummy_input(model, args.benchmark_nums, args.max_seq_length)
         dummy_dataset = DummyDataset(shapes, low=lows, high=highs, dtype="int64")
         dummy_dataloader = ONNXRTDataLoader(dummy_dataset)

examples/onnxrt/language_translation/roberta/bert_base.py

@@ -282,8 +282,8 @@ def eval_func(model):
     if args.benchmark:
         model = onnx.load(args.model_path)
 
-        from lpot.data.datasets.dummy_dataset import DummyDataset
-        from lpot.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
+        from lpot.experimental.data.datasets.dummy_dataset import DummyDataset
+        from lpot.experimental.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
         shapes, lows, highs = parse_dummy_input(model, args.benchmark_nums, args.max_seq_length)
         dummy_dataset = DummyDataset(shapes, low=lows, high=highs, dtype="int64")
         dummy_dataloader = ONNXRTDataLoader(dummy_dataset)

examples/onnxrt/oob_general.py

@@ -100,8 +100,8 @@ def parse_dummy_input(model, benchmark_nums):
         input_shapes = [shape.split('x') for shape in input_shapes]
         shapes = [tuple([args.benchmark_nums] + [int(dim) for dim in shape]) for shape in input_shapes]
 
-    from lpot.data.datasets.dummy_dataset import DummyDataset
-    from lpot.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
+    from lpot.experimental.data.datasets.dummy_dataset import DummyDataset
+    from lpot.experimental.data.dataloaders.onnxrt_dataloader import ONNXRTDataLoader
     dummy_dataset = DummyDataset(shapes, low=lows, high=highs, dtype=dtypes, label=True)
     dummy_dataloader = ONNXRTDataLoader(dummy_dataset, batch_size=args.eval_batch_size)