modify model_zoo network bug

model_zoo/official/cv/resnet/resnet101_imagenet2012_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 32
@@ -60,15 +60,15 @@ network_dataset: "resnet101_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet18_cifar10_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 10
 batch_size: 32
@@ -60,15 +60,15 @@ network_dataset: "resnet18_cifar10"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet18_imagenet2012_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 256
@@ -62,15 +62,15 @@ network_dataset: "resnet18_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet34_imagenet2012_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 256
@@ -62,15 +62,15 @@ network_dataset: "resnet34_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet50_cifar10_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 10
 batch_size: 32
@@ -60,15 +60,15 @@ network_dataset: "resnet50_cifar10"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet50_imagenet2012_Ascend_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 32
@@ -63,15 +63,15 @@ network_dataset: "resnet50_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet50_imagenet2012_GPU_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "GPU"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Thor'
+optimizer: "Thor"
 infer_label: ""
 class_num: 1001
 batch_size: 32
@@ -63,15 +63,15 @@ network_dataset: "resnet50_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet50_imagenet2012_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 256
@@ -62,15 +62,15 @@ network_dataset: "resnet50_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/resnet_benchmark_GPU.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
+device_target: "GPU"
+checkpoint_path: "./checkpoint/"
 checkpoint_file_path: ''
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 batch_size: 256
 epoch_size: 2
@@ -37,15 +37,15 @@ network_dataset: "resnet50_cifar10"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnet/se-resnet50_imagenet2012_config.yaml

@@ -10,13 +10,13 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
-optimizer: 'Momentum'
+optimizer: "Momentum"
 infer_label: ""
 class_num: 1001
 batch_size: 32
@@ -54,8 +54,8 @@ mode_name: "GRAPH"
 
 # Export options
 device_id: 0
-width: 224
-height: 224
+width: 256
+height: 256
 file_name: "se-resnet50"
 file_format: "AIR"
 ckpt_file: ""
@@ -63,15 +63,15 @@ network_dataset: "se-resnet50_imagenet2012"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 checkpoint_path: "The location of the checkpoint file."

model_zoo/official/cv/resnext/default_config.yaml

@@ -11,9 +11,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
@@ -22,7 +22,7 @@ num_classes: 1000
 batch_size: 1
 
 lr: 0.4
-lr_scheduler: 'cosine_annealing'
+lr_scheduler: "cosine_annealing"
 lr_epochs: [30,60,90,120]
 lr_gamma: 0.1
 eta_min: 0
@@ -43,7 +43,7 @@ ckpt_save_max: 5
 is_save_on_master: 1
 rank_save_ckpt_flag: 0
 outputs_dir: ""
-log_path: './output_log'
+log_path: "./output_log"
 
 # Export options
 device_id: 0
@@ -56,17 +56,16 @@ label_path: ""
 
 ---
 # Help description for each configuration
-network: "Candidate networks: [resnext50, resnext101], default: resnext50"
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/squeezenet/squeezenet_cifar10_config.yaml

@@ -12,9 +12,9 @@ output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
 device_num: 1
 device_id: 0
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'suqeezenet_cifar10-120_195.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "suqeezenet_cifar10-120_195.ckpt"
 
 # ==============================================================================
 # Training options
@@ -45,16 +45,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/squeezenet/squeezenet_imagenet_config.yaml

@@ -12,9 +12,9 @@ output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
 device_num: 1
 device_id: 0
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'suqeezenet_imagenet-200_5004.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "suqeezenet_imagenet-200_5004.ckpt"
 
 # ==============================================================================
 # Training options

model_zoo/official/cv/squeezenet/squeezenet_residual_cifar10_config.yaml

@@ -12,9 +12,9 @@ output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
 device_num: 1
 device_id: 0
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'suqeezenet_residual_cifar10-150_195.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "suqeezenet_residual_cifar10-150_195.ckpt"
 
 # ==============================================================================
 # Training options
@@ -45,16 +45,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/squeezenet/squeezenet_residual_imagenet_config.yaml

@@ -12,9 +12,9 @@ output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
 device_num: 1
 device_id: 0
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'suqeezenet_residual_imagenet-300_5004.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "suqeezenet_residual_imagenet-300_5004.ckpt"
 
 # ==============================================================================
 # Training options
@@ -47,16 +47,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/ssd/ssd300_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ssd-500_458.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ssd-500_458.ckpt"
 
 # ==============================================================================
 # Training options
@@ -108,16 +108,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/ssd/ssd_mobilenet_v1_fpn_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'mobilenet_v1.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "mobilenet_v1.ckpt"
 
 # ==============================================================================
 # Training options

model_zoo/official/cv/ssd/ssd_resnet50_fpn_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'resnet50.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "resnet50.ckpt"
 
 # ==============================================================================
 # Training options
@@ -113,16 +113,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/ssd/ssd_vgg16_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ssd-500_458.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ssd-500_458.ckpt"
 
 # ==============================================================================
 # Training options
@@ -107,16 +107,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet/unet_medical_config.yaml

@@ -8,7 +8,7 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
@@ -30,17 +30,17 @@ weight_decay: 0.0005
 loss_scale: 1024.0
 FixedLossScaleManager: 1024.0
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
-filter_weight: ['outc.weight', 'outc.bias']
+filter_weight: ["outc.weight", "outc.bias"]
 
 #Eval options
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_medical_adam-4-75.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_medical_adam-4-75.ckpt"
+rst_path: "./result_Files/"
 result_path: ""
 
 # Export options
@@ -51,16 +51,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 weight_decay: "Weight decay."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet/unet_medical_gpu_config.yaml

@@ -8,12 +8,12 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'GPU'
+device_target: "GPU"
 enable_profiling: False
 
 # ==============================================================================
 # Training options
-model_name: 'unet_medical'
+model_name: "unet_medical"
 run_eval: False
 run_distribute: False
 crop: [388, 388]
@@ -31,17 +31,17 @@ weight_decay: 0.0005
 loss_scale: 1024.0
 FixedLossScaleManager: 1024.0
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
-filter_weight: ['outc.weight', 'outc.bias']
+filter_weight: ["outc.weight", "outc.bias"]
 
 #Eval options
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_medical_adam-400.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_medical_adam-400.ckpt"
+rst_path: "./result_Files/"
 
 # Export options
 width: 572
@@ -51,16 +51,16 @@ file_format: AIR
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 distribute_batchsize: "Batch size for distribute training"
 weight_decay: "Weight decay."

model_zoo/official/cv/unet/unet_nested_cell_config.yaml

@@ -8,15 +8,15 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
 # Training options
-model_name: 'unet_nested'
+model_name: "unet_nested"
 run_eval: False
 run_distribute: False
-dataset: 'Cell_nuclei'
+dataset: "Cell_nuclei"
 crop: None
 image_size : [96, 96]
 lr: 0.0003
@@ -34,17 +34,17 @@ use_ds: False
 use_bn: False
 use_deconv: True
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
-filter_weight: ['final1.weight', 'final2.weight', 'final3.weight', 'final4.weight']
+filter_weight: ["final1.weight", "final2.weight", "final3.weight", "final4.weight"]
 
 #Eval options
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_nested_adam-4-75.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_nested_adam-4-75.ckpt"
+rst_path: "./result_Files/"
 result_path: "./preprocess_Result"
 
 # Export options
@@ -55,16 +55,16 @@ file_format: "MINDIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 weight_decay: "Weight decay."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet/unet_nested_config.yaml

@@ -8,12 +8,12 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
 # Training options
-model_name: 'unet_nested'
+model_name: "unet_nested"
 run_eval: False
 run_distribute: False
 crop: None
@@ -33,17 +33,17 @@ use_ds: True
 use_bn: True
 use_deconv: True
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
-filter_weight: ['final1.weight', 'final2.weight', 'final3.weight', 'final4.weight']
+filter_weight: ["final1.weight", "final2.weight", "final3.weight", "final4.weight"]
 
 #Eval options
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_nested_adam-4-75.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_nested_adam-4-75.ckpt"
+rst_path: "/result_Files/"
 result_path: ""
 
 # Export options
@@ -54,16 +54,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 weight_decay: "Weight decay."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet/unet_simple_coco_config.yaml

@@ -8,15 +8,15 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
 # Training options
-model_name: 'unet_simple'
+model_name: "unet_simple"
 run_eval: False
 run_distribute: False
-dataset: 'COCO'
+dataset: "COCO"
 split : 1.0
 image_size : [512, 512]
 lr: 0.0001
@@ -31,7 +31,7 @@ weight_decay: 0.0005
 loss_scale: 1024.0
 FixedLossScaleManager: 1024.0
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
 filter_weight: ['final1.weight']
 coco_classes: ['background', 'person', 'bicycle', 'car', 'motorcycle', 'airplane', 'bus',
@@ -60,11 +60,11 @@ eval_metrics: "dice_coeff"
 eval_start_epoch: 0
 eval_interval: 1
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_simple_adam-4-75.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_simple_adam-4-75.ckpt"
+rst_path: "./result_Files/"
 result_path: ""
 
 # Export options
@@ -75,16 +75,16 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 weight_decay: "Weight decay."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet/unet_simple_config.yaml

@@ -8,12 +8,12 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
 # Training options
-model_name: 'unet_simple'
+model_name: "unet_simple"
 run_eval: False
 run_distribute: False
 crop: None
@@ -30,17 +30,17 @@ weight_decay: 0.0005
 loss_scale: 1024.0
 FixedLossScaleManager: 1024.0
 resume: False
-resume_ckpt: './'
+resume_ckpt: "./"
 transfer_training: False
-filter_weight: ['final1.weight']
+filter_weight: ["final1.weight"]
 
 #Eval options
 keep_checkpoint_max: 10
-eval_activate: 'Softmax'
+eval_activate: "Softmax"
 eval_resize: False
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ckpt_unet_simple_adam-4-75.ckpt'
-rst_path: './result_Files/'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ckpt_unet_simple_adam-4-75.ckpt"
+rst_path: "./result_Files/"
 result_path: "./preprocess_Result"
 
 # Export options
@@ -51,16 +51,16 @@ file_format: "MINDIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 weight_decay: "Weight decay."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/cv/unet3d/default_config.yaml

@@ -11,9 +11,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'Unet3d-9-877.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "Unet3d-9-877.ckpt"
 
 # ==============================================================================
 # Training options
@@ -41,17 +41,17 @@ file_format: ""
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-enable_fp16_gpu: 'Whether training on gpu with fp16, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+enable_fp16_gpu: "Whether training on gpu with fp16, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/nlp/mass/default_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: ''
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: ""
 
 # ==============================================================================
 # Training options
@@ -77,16 +77,16 @@ result_dir: "./result_Files"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"

model_zoo/official/nlp/textcnn/mr_config.yaml

@@ -20,14 +20,14 @@ batch_size: 64
 epoch_size: 4
 weight_decay: 3e-5
 keep_checkpoint_max: 1
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'train_textcnn-4_149.ckpt'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "train_textcnn-4_149.ckpt"
 word_len: 51
 vec_length: 40
 base_lr: 1e-3
 label_dir: ""
 result_dir: ""
-result_path: './preprocess_Result/'
+result_path: "./preprocess_Result/"
 
 # Export options
 device_id: 0
@@ -36,15 +36,15 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
 dataset: "Dataset to be trained and evaluated, choice: ['MR, SUBJ, SST2']"
 train_epochs: "The number of epochs used to train."
 pre_trained: 'If need load pre_trained checkpoint, default: False'

model_zoo/official/nlp/textcnn/mr_config_cpu.yaml

@@ -8,7 +8,7 @@ checkpoint_url: ""
 data_path: "./data"
 output_path: "./train"
 load_path: "./checkpoint_path/"
-device_target: 'CPU'
+device_target: "CPU"
 enable_profiling: False
 
 # ==============================================================================
@@ -20,14 +20,14 @@ batch_size: 64
 epoch_size: 4
 weight_decay: 3e-5
 keep_checkpoint_max: 1
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: './train/checkpoint/train_textcnn-4_149.ckpt'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "./train/checkpoint/train_textcnn-4_149.ckpt"
 word_len: 51
 vec_length: 40
 base_lr: 1e-3
 label_dir: ""
 result_dir: ""
-result_path: './preprocess_Result/'
+result_path: "./preprocess_Result/"
 
 # Export options
 device_id: 0
@@ -36,15 +36,15 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
 dataset: "Dataset to be trained and evaluated, choice: ['MR, SUBJ, SST2']"
 train_epochs: "The number of epochs used to train."
 pre_trained: 'If need load pre_trained checkpoint, default: False'

model_zoo/official/nlp/textcnn/sst2_config.yaml

@@ -8,7 +8,7 @@ checkpoint_url: ""
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
+device_target: "Ascend"
 enable_profiling: False
 
 # ==============================================================================
@@ -20,14 +20,14 @@ batch_size: 64
 epoch_size: 4
 weight_decay: 3e-5
 keep_checkpoint_max: 1
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'train_textcnn-4_149.ckpt'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "train_textcnn-4_149.ckpt"
 word_len: 51
 vec_length: 40
 base_lr: 5e-3
 label_dir: ""
 result_dir: ""
-result_path: './preprocess_Result/'
+result_path: "/preprocess_Result/"
 
 # Export options
 device_id: 0
@@ -36,15 +36,15 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
 dataset: "Dataset to be trained and evaluated, choice: ['MR, SUBJ, SST2']"
 train_epochs: "The number of epochs used to train."
 pre_trained: 'If need load pre_trained checkpoint, default: False'

model_zoo/official/nlp/textcnn/subj_config.yaml

@@ -20,14 +20,14 @@ batch_size: 64
 epoch_size: 4
 weight_decay: 3e-5
 keep_checkpoint_max: 1
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'train_textcnn-4_149.ckpt'
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "train_textcnn-4_149.ckpt"
 word_len: 51
 vec_length: 40
 base_lr: 8e-4
 label_dir: ""
 result_dir: ""
-result_path: './preprocess_Result/'
+result_path: "./preprocess_Result/"
 
 # Export options
 device_id: 0
@@ -36,15 +36,15 @@ file_format: "AIR"
 
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
 dataset: "Dataset to be trained and evaluated, choice: ['MR, SUBJ, SST2']"
 train_epochs: "The number of epochs used to train."
 pre_trained: 'If need load pre_trained checkpoint, default: False'

model_zoo/research/cv/ssd_ghostnet/default_config.yaml

@@ -10,9 +10,9 @@ enable_profiling: False
 data_path: "/cache/data"
 output_path: "/cache/train"
 load_path: "/cache/checkpoint_path/"
-device_target: 'Ascend'
-checkpoint_path: './checkpoint/'
-checkpoint_file_path: 'ssd-500_458.ckpt'
+device_target: "Ascend"
+checkpoint_path: "./checkpoint/"
+checkpoint_file_path: "ssd-500_458.ckpt"
 
 # ==============================================================================
 # Training options
@@ -93,16 +93,16 @@ image_dir: ""
 anno_path: ""
 ---
 # Help description for each configuration
-enable_modelarts: 'Whether training on modelarts, default: False'
-data_url: 'Dataset url for obs'
-train_url: 'Training output url for obs'
-checkpoint_url: 'The location of checkpoint for obs'
-data_path: 'Dataset path for local'
-output_path: 'Training output path for local'
-load_path: 'The location of checkpoint for obs'
-device_target: 'Target device type, available: [Ascend, GPU, CPU]'
-enable_profiling: 'Whether enable profiling while training, default: False'
-num_classes: 'Class for dataset'
+enable_modelarts: "Whether training on modelarts, default: False"
+data_url: "Dataset url for obs"
+train_url: "Training output url for obs"
+checkpoint_url: "The location of checkpoint for obs"
+data_path: "Dataset path for local"
+output_path: "Training output path for local"
+load_path: "The location of checkpoint for obs"
+device_target: "Target device type, available: [Ascend, GPU, CPU]"
+enable_profiling: "Whether enable profiling while training, default: False"
+num_classes: "Class for dataset"
 batch_size: "Batch size for training and evaluation"
 epoch_size: "Total training epochs."
 keep_checkpoint_max: "keep the last keep_checkpoint_max checkpoint"