add yolo series auto compress configs (#6623)

* add yolo series auto compress configs, test=document_fix

* update name, test=document_fix

* update yolox reader

* update model reader

deploy/auto_compression/configs/ppyoloe_l_qat_dis.yaml

 
 Global:
-  reader_config: configs/yolo_reader.yml
+  reader_config: configs/ppyoloe_reader.yml
   input_list: ['image', 'scale_factor']
   arch: YOLO
   Evaluation: True

deploy/auto_compression/configs/yolov5_reader.yml

+metric: COCO
+num_classes: 80
+
+# Datset configuration
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco/
+
+EvalDataset:
+  !COCODataSet
+    image_dir: val2017
+    anno_path: annotations/instances_val2017.json
+    dataset_dir: dataset/coco/
+
+worker_num: 0
+
+# preprocess reader in test
+TestReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [640, 640], keep_ratio: True, interp: 1}
+    - Pad: {size: [640, 640], fill_value: [114., 114., 114.]}
+    - Permute: {}
+  batch_size: 1

deploy/auto_compression/configs/yolov5_s_qat_dis.yml

+
+Global:
+  reader_config: configs/yolov5_reader.yml
+  input_list: ['image', 'scale_factor']
+  arch: YOLO
+  Evaluation: True
+  model_dir: ./yolov5_s_300e_coco
+  model_filename: model.pdmodel
+  params_filename: model.pdiparams
+
+Distillation:
+  alpha: 1.0
+  loss: soft_label
+
+Quantization:
+  use_pact: true
+  activation_quantize_type: 'moving_average_abs_max'
+  quantize_op_types:
+  - conv2d
+  - depthwise_conv2d
+
+TrainConfig:
+  train_iter: 5000
+  eval_iter: 1000
+  learning_rate:
+    type: CosineAnnealingDecay
+    learning_rate: 0.00003
+    T_max: 6000
+  optimizer_builder:
+    optimizer:
+      type: SGD
+    weight_decay: 4.0e-05

deploy/auto_compression/configs/yolov6mt_reader.yml

+metric: COCO
+num_classes: 80
+
+# Datset configuration
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco/
+
+EvalDataset:
+  !COCODataSet
+    image_dir: val2017
+    anno_path: annotations/instances_val2017.json
+    dataset_dir: dataset/coco/
+
+worker_num: 0
+
+# preprocess reader in test
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size:  [640, 640], keep_ratio: True, interp: 1}
+    - Pad: {size:  [640, 640], fill_value: [114., 114., 114.]}
+    - Permute: {}
+  batch_size: 1

deploy/auto_compression/configs/yolov6mt_s_qat_dis.yaml

+
+Global:
+  reader_config: configs/yolov6mt_reader.yml
+  input_list: ['image', 'scale_factor']
+  arch: YOLO
+  Evaluation: True
+  model_dir: ./yolov6mt_s_400e_coco
+  model_filename: model.pdmodel
+  params_filename: model.pdiparams
+
+Distillation:
+  alpha: 1.0
+  loss: soft_label
+
+Quantization:
+  use_pact: true
+  activation_quantize_type: 'moving_average_abs_max'
+  quantize_op_types:
+  - conv2d
+  - depthwise_conv2d
+
+TrainConfig:
+  train_iter: 5000
+  eval_iter: 1000
+  learning_rate:  
+    type: CosineAnnealingDecay
+    learning_rate: 0.00003
+    T_max: 6000
+  optimizer_builder:
+    optimizer: 
+      type: SGD
+    weight_decay: 4.0e-05
+

deploy/auto_compression/configs/yolov7_l_qat_dis.yaml

+
+Global:
+  reader_config: configs/yolov7_reader.yml
+  input_list: ['image', 'scale_factor']
+  arch: YOLO
+  Evaluation: True
+  model_dir: ./yolov7_l_300e_coco
+  model_filename: model.pdmodel
+  params_filename: model.pdiparams
+
+Distillation:
+  alpha: 1.0
+  loss: soft_label
+
+Quantization:
+  use_pact: true
+  activation_quantize_type: 'moving_average_abs_max'
+  quantize_op_types:
+  - conv2d
+  - depthwise_conv2d
+
+TrainConfig:
+  train_iter: 5000
+  eval_iter: 1000
+  learning_rate:  
+    type: CosineAnnealingDecay
+    learning_rate: 0.00003
+    T_max: 6000
+  optimizer_builder:
+    optimizer: 
+      type: SGD
+    weight_decay: 4.0e-05
+

deploy/auto_compression/configs/yolov7_reader.yml

+metric: COCO
+num_classes: 80
+
+# Datset configuration
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco/
+
+EvalDataset:
+  !COCODataSet
+    image_dir: val2017
+    anno_path: annotations/instances_val2017.json
+    dataset_dir: dataset/coco/
+
+worker_num: 0
+
+# preprocess reader in test
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size:  [640, 640], keep_ratio: True, interp: 1}
+    - Pad: {size:  [640, 640], fill_value: [114., 114., 114.]}
+    - Permute: {}
+  batch_size: 1

deploy/auto_compression/configs/yolox_reader.yml

+metric: COCO
+num_classes: 80
+
+# Datset configuration
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco/
+
+EvalDataset:
+  !COCODataSet
+    image_dir: val2017
+    anno_path: annotations/instances_val2017.json
+    dataset_dir: dataset/coco/
+
+worker_num: 0
+
+# preprocess reader in test
+TestReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [640, 640], keep_ratio: True, interp: 1}
+    - Pad: {size: [640, 640], fill_value: [114., 114., 114.]}
+    - Permute: {}
+  batch_size: 1

deploy/auto_compression/configs/yolox_s_qat_dis.yaml

+
+Global:
+  reader_config: configs/yolox_reader.yml
+  input_list: ['image', 'scale_factor']
+  arch: YOLO
+  Evaluation: True
+  model_dir: ./yolox_s_300e_coco
+  model_filename: model.pdmodel
+  params_filename: model.pdiparams
+
+Distillation:
+  alpha: 1.0
+  loss: soft_label
+
+Quantization:
+  use_pact: true
+  activation_quantize_type: 'moving_average_abs_max'
+  quantize_op_types:
+  - conv2d
+  - depthwise_conv2d
+
+TrainConfig:
+  train_iter: 5000
+  eval_iter: 1000
+  learning_rate:  
+    type: CosineAnnealingDecay
+    learning_rate: 0.00003
+    T_max: 6000
+  optimizer_builder:
+    optimizer: 
+      type: SGD
+    weight_decay: 4.0e-05
+