[Fix] Fix preprocess_model_config for CIFAR dataset (#1659)

* fix cifar10 for mmcls

* remove unnecessary code

mmdeploy/codebase/mmcls/deploy/classification.py

@@ -63,13 +63,15 @@ def process_model_config(model_cfg: Config,
             cfg.test_pipeline.pop(0)
     # check whether input_shape is valid
     if input_shape is not None:
-        if 'crop_size' in cfg.test_pipeline[2]:
-            crop_size = cfg.test_pipeline[2]['crop_size']
-            if tuple(input_shape) != (crop_size, crop_size):
-                logger = get_root_logger()
-                logger.warning(
-                    f'`input shape` should be equal to `crop_size`: {crop_size},\
-                        but given: {input_shape}')
+        for pipeline_component in cfg.test_pipeline:
+            if 'Crop' in pipeline_component['type']:
+                if 'crop_size' in pipeline_component:
+                    crop_size = pipeline_component['crop_size']
+                    if tuple(input_shape) != (crop_size, crop_size):
+                        logger = get_root_logger()
+                        logger.warning(
+                            f'`input shape` should be equal to `crop_size`: {crop_size},\
+                                but given: {input_shape}')
     return cfg