fix bug of export inference

paddlex/cv/models/load_model.py

@@ -116,20 +116,7 @@ def fix_input_shape(info, fixed_input_shape=None):
         resize = {'ResizeByShort': {}}
         padding = {'Padding': {}}
         if info['_Attributes']['model_type'] == 'classifier':
-            crop_size = 0
-            for transform in info['Transforms']:
-                if 'CenterCrop' in transform:
-                    crop_size = transform['CenterCrop']['crop_size']
-                    break
-            assert crop_size == fixed_input_shape[
-                0], "fixed_input_shape must == CenterCrop:crop_size:{}".format(
-                    crop_size)
-            assert crop_size == fixed_input_shape[
-                1], "fixed_input_shape must == CenterCrop:crop_size:{}".format(
-                    crop_size)
-            if crop_size == 0:
-                logging.warning(
-                    "fixed_input_shape must == input shape when trainning")
+            pass
         else:
             resize['ResizeByShort']['short_size'] = min(fixed_input_shape)
             resize['ResizeByShort']['max_size'] = max(fixed_input_shape)

setup.py

@@ -19,7 +19,7 @@ long_description = "PaddleX. A end-to-end deeplearning model development toolkit
 
 setuptools.setup(
     name="paddlex",
-    version='1.0.6',
+    version='1.0.6a4',
     author="paddlex",
     author_email="paddlex@baidu.com",
     description=long_description,