Change the default format from "AIR" to "MINDIR".

official/cv/inceptionv4/README.md

@@ -159,13 +159,13 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
     # (1) Perform a or b.
     #       a. Set "enable_modelarts=True" on base_config.yaml file.
     #          Set "file_name='inceptionv4'" on base_config.yaml file.
-    #          Set "file_format='AIR'" on base_config.yaml file.
+    #          Set "file_format='MINDIR'" on base_config.yaml file.
     #          Set "checkpoint_url='/The path of checkpoint in S3/'" on beta_config.yaml file.
     #          Set "ckpt_file='/cache/checkpoint_path/model.ckpt'" on base_config.yaml file.
     #          Set other parameters on base_config.yaml file you need.
     #       b. Add "enable_modelarts=True" on the website UI interface.
     #          Add "file_name='inceptionv4'" on the website UI interface.
-    #          Add "file_format='AIR'" on the website UI interface.
+    #          Add "file_format='MINDIR'" on the website UI interface.
     #          Add "checkpoint_url='/The path of checkpoint in S3/'" on the website UI interface.
     #          Add "ckpt_file='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
     #          Add other parameters on the website UI interface.

official/cv/inceptionv4/default_config_cpu.yaml

@@ -19,7 +19,7 @@ is_distributed: False
 device_id: 0
 platform: 'CPU'
 file_name: 'inceptionv3'
-file_format: 'AIR'
+file_format: 'MINDIR'
 width: 299
 height: 299
 

official/cv/inceptionv4/default_config_gpu.yaml

@@ -19,7 +19,7 @@ is_distributed: False
 device_id: 0
 platform: 'GPU'
 file_name: 'inceptionv3'
-file_format: 'AIR'
+file_format: 'MINDIR'
 width: 299
 height: 299
 

official/cv/mobilenetv1/README.md

@@ -184,13 +184,13 @@ For FP16 operators, if the input data type is FP32, the backend of MindSpore wil
     # (1) Perform a or b.
     #       a. Set "enable_modelarts=True" on base_config.yaml file.
     #          Set "file_name='mobilenetv1'" on base_config.yaml file.
-    #          Set "file_format='AIR'" on base_config.yaml file.
+    #          Set "file_format: 'MINDIR'" on base_config.yaml file.
     #          Set "checkpoint_url='/The path of checkpoint in S3/'" on beta_config.yaml file.
     #          Set "ckpt_file='/cache/checkpoint_path/model.ckpt'" on base_config.yaml file.
     #          Set other parameters on base_config.yaml file you need.
     #       b. Add "enable_modelarts=True" on the website UI interface.
     #          Add "file_name='mobilenetv1'" on the website UI interface.
-    #          Add "file_format='AIR'" on the website UI interface.
+    #          Add "file_format: 'MINDIR'" on the website UI interface.
     #          Add "checkpoint_url='/The path of checkpoint in S3/'" on the website UI interface.
     #          Add "ckpt_file='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
     #          Add other parameters on the website UI interface.

official/cv/mobilenetv1/default_config.yaml

@@ -46,7 +46,7 @@ ckpt_file: "/cache/data/mobilenetv1-90_625.ckpt"
 width: 224
 height: 224
 file_name: "mobilenetv1"
-file_format: "AIR"
+file_format: 'MINDIR'
 
 # postprocess
 result_dir: ''

official/cv/mobilenetv1/default_config_gpu_imagenet.yaml

@@ -51,7 +51,7 @@ ckpt_file: "/cache/data/mobilenetv1-90_625.ckpt"
 width: 224
 height: 224
 file_name: "mobilenetv1"
-file_format: "AIR"
+file_format: 'MINDIR'
 
 # postprocess
 result_dir: ''

official/cv/mobilenetv1/default_config_imagenet.yaml

@@ -51,7 +51,7 @@ ckpt_file: "/cache/data/mobilenetv1-90_625.ckpt"
 width: 224
 height: 224
 file_name: "mobilenetv1"
-file_format: "AIR"
+file_format: 'MINDIR'
 
 # postprocess
 result_dir: ''

official/cv/resnext/README.md

@@ -270,13 +270,13 @@ Export on ModelArts (If you want to run in modelarts, please check the official
 #          Set "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on default_config.yaml file.
 #          Set "checkpoint_url='s3://dir_to_trained_ckpt/'" on default_config.yaml file.
 #          Set "file_name='./resnext50'" on default_config.yaml file.
-#          Set "file_format='AIR'" on default_config.yaml file.
+#          Set "file_format='MINDIR'" on default_config.yaml file.
 #          Set other parameters on default_config.yaml file you need.
 #       b. Add "enable_modelarts=True" on the website UI interface.
 #          Add "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
 #          Add "checkpoint_url='s3://dir_to_trained_ckpt/'" on the website UI interface.
 #          Add "file_name='./resnext50'" on the website UI interface.
-#          Add "file_format='AIR'" on the website UI interface.
+#          Add "file_format='MINDIR'" on the website UI interface.
 #          Add other parameters on the website UI interface.
 # (2) Set the config_path="/path/yaml file" on the website UI interface.
 # (3) Set the code directory to "/path/resnext50" on the website UI interface.

official/cv/resnext/README_CN.md

@@ -276,12 +276,12 @@ ModelArts导出mindir
 #          设置 "checkpoint_file_path='/cache/checkpoint_path/model.ckpt" 在 yaml 文件。
 #          设置 "checkpoint_url=/The path of checkpoint in S3/" 在 yaml 文件。
 #          设置 "file_name='./resnext50'"参数在yaml文件。
-#          设置 "file_format='AIR'" 参数在yaml文件。
+#          设置 "file_format='MINDIR'" 参数在yaml文件。
 #       b. 增加 "enable_modelarts=True" 参数在modearts的界面上。
 #          增加 "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" 参数在modearts的界面上。
 #          增加 "checkpoint_url=/The path of checkpoint in S3/" 参数在modearts的界面上。
 #          设置 "file_name='./resnext50'"参数在modearts的界面上。
-#          设置 "file_format='AIR'" 参数在modearts的界面上。
+#          设置 "file_format='MINDIR'" 参数在modearts的界面上。
 # (3) 设置网络配置文件的路径 "config_path=/The path of config in S3/"
 # (4) 在modelarts的界面上设置代码的路径 "/path/resnext50"。
 # (5) 在modelarts的界面上设置模型的启动文件 "export.py" 。

official/cv/resnext/default_config.yaml

@@ -50,7 +50,7 @@ device_id: 0
 width: 224
 height: 224
 file_name: "resnext50"
-file_format: "AIR"
+file_format: 'MINDIR'
 result_path: ""
 label_path: ""
 

official/cv/se_resnext50/README.md

@@ -255,13 +255,13 @@ Export on ModelArts (If you want to run in modelarts, please check the official
 #          Set "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on default_config.yaml file.
 #          Set "checkpoint_url='s3://dir_to_trained_ckpt/'" on default_config.yaml file.
 #          Set "file_name='./resnext50'" on default_config.yaml file.
-#          Set "file_format='AIR'" on default_config.yaml file.
+#          Set "file_format='MINDIR'" on default_config.yaml file.
 #          Set other parameters on default_config.yaml file you need.
 #       b. Add "enable_modelarts=True" on the website UI interface.
 #          Add "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
 #          Add "checkpoint_url='s3://dir_to_trained_ckpt/'" on the website UI interface.
 #          Add "file_name='./SE_ResNeXt50'" on the website UI interface.
-#          Add "file_format='AIR'" on the website UI interface.
+#          Add "file_format='MINDIR'" on the website UI interface.
 #          Add other parameters on the website UI interface.
 # (2) Set the config_path="/path/yaml file" on the website UI interface.
 # (3) Set the code directory to "/path/SE_ResNeXt50" on the website UI interface.

official/cv/se_resnext50/README_CN.md

@@ -264,12 +264,12 @@ ModelArts导出mindir
 #          设置 "checkpoint_file_path='/cache/checkpoint_path/model.ckpt" 在 yaml 文件。
 #          设置 "checkpoint_url=/The path of checkpoint in S3/" 在 yaml 文件。
 #          设置 "file_name='./SE_ResNeXt50'"参数在yaml文件。
-#          设置 "file_format='AIR'" 参数在yaml文件。
+#          设置 "file_format='MINDIR'" 参数在yaml文件。
 #       b. 增加 "enable_modelarts=True" 参数在modearts的界面上。
 #          增加 "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" 参数在modearts的界面上。
 #          增加 "checkpoint_url=/The path of checkpoint in S3/" 参数在modearts的界面上。
 #          设置 "file_name='./resnext50'"参数在modearts的界面上。
-#          设置 "file_format='AIR'" 参数在modelarts的界面上。
+#          设置 "file_format='MINDIR'" 参数在modelarts的界面上。
 # (3) 设置网络配置文件的路径 "config_path=/The path of config in S3/"
 # (4) 在modelarts的界面上设置代码的路径 "/path/SE_ResNeXt50"。
 # (5) 在modelarts的界面上设置模型的启动文件 "export.py" 。

official/cv/se_resnext50/default_config.yaml

@@ -50,7 +50,7 @@ device_id: 0
 width: 224
 height: 224
 file_name: "se_resnext50"
-file_format: "AIR"
+file_format: "MINDIR"
 result_path: ""
 label_path: ""
 

official/cv/sphereface/sphereface_config.yaml

@@ -61,7 +61,7 @@ eval_url: ""
 device_id: 1
 batch_size: 32
 file_name: "sphereface"
-file_format: "AIR"
+file_format: 'MINDIR'
 
 ---
 # Help description for each configuration

official/cv/squeezenet/README.md

@@ -433,13 +433,13 @@ Export on ModelArts (If you want to run in modelarts, please check the official
 #          Set "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on default_config.yaml file.
 #          Set "checkpoint_url='s3://dir_to_trained_ckpt/'" on default_config.yaml file.
 #          Set "file_name='./squeezenet'" on default_config.yaml file.
-#          Set "file_format='AIR'" on default_config.yaml file.
+#          Set "file_format='MINDIR'" on default_config.yaml file.
 #          Set other parameters on default_config.yaml file you need.
 #       b. Add "enable_modelarts=True" on the website UI interface.
 #          Add "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
 #          Add "checkpoint_url='s3://dir_to_trained_ckpt/'" on the website UI interface.
 #          Add "file_name='./squeezenet'" on the website UI interface.
-#          Add "file_format='AIR'" on the website UI interface.
+#          Add "file_format='MINDIR'" on the website UI interface.
 #          Add other parameters on the website UI interface.
 # (2) Set the config_path="/path/yaml file" on the website UI interface.
 # (3) Set the code directory to "/path/squeezenet" on the website UI interface.

official/cv/squeezenet/modelarts/README.md

@@ -433,13 +433,13 @@ Export on ModelArts (If you want to run in modelarts, please check the official
 #          Set "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on default_config.yaml file.
 #          Set "checkpoint_url='s3://dir_to_trained_ckpt/'" on default_config.yaml file.
 #          Set "file_name='./squeezenet'" on default_config.yaml file.
-#          Set "file_format='AIR'" on default_config.yaml file.
+#          Set "file_format='MINDIR'" on default_config.yaml file.
 #          Set other parameters on default_config.yaml file you need.
 #       b. Add "enable_modelarts=True" on the website UI interface.
 #          Add "checkpoint_file_path='/cache/checkpoint_path/model.ckpt'" on the website UI interface.
 #          Add "checkpoint_url='s3://dir_to_trained_ckpt/'" on the website UI interface.
 #          Add "file_name='./squeezenet'" on the website UI interface.
-#          Add "file_format='AIR'" on the website UI interface.
+#          Add "file_format='MINDIR'" on the website UI interface.
 #          Add other parameters on the website UI interface.
 # (2) Set the config_path="/path/yaml file" on the website UI interface.
 # (3) Set the code directory to "/path/squeezenet" on the website UI interface.

official/cv/squeezenet/squeezenet_cifar10_config.yaml

@@ -41,7 +41,7 @@ pre_trained: ""
 width: 227
 height: 227
 file_name: "squeezenet"
-file_format: "AIR"
+file_format: "MINDIR"
 
 ---
 # Help description for each configuration

official/cv/squeezenet/squeezenet_imagenet_config.yaml

@@ -43,7 +43,7 @@ pre_trained: ""
 width: 227
 height: 227
 file_name: "squeezenet"
-file_format: "AIR"
+file_format: "MINDIR"
 
 ---
 # Help description for each configuration

official/cv/squeezenet/squeezenet_residual_cifar10_config.yaml

@@ -41,7 +41,7 @@ pre_trained: ""
 width: 227
 height: 227
 file_name: "squeezenet"
-file_format: "AIR"
+file_format: "MINDIR"
 
 ---
 # Help description for each configuration

official/cv/squeezenet/squeezenet_residual_imagenet_config.yaml

@@ -43,7 +43,7 @@ pre_trained: ""
 width: 227
 height: 227
 file_name: "squeezenet"
-file_format: "AIR"
+file_format: "MINDIR"
 
 ---
 # Help description for each configuration