diff --git a/demo/auto-compression/configs/CV/mbv2_qat_dis.yaml b/demo/auto-compression/configs/CV/mbv2_qat_dis.yaml
index fd5a6977864fc4d08c2cfe0c3b3f32a77189b8d5..f68e24dc597161d6f1ffd469329cbb3cea7f651d 100644
--- a/demo/auto-compression/configs/CV/mbv2_qat_dis.yaml
+++ b/demo/auto-compression/configs/CV/mbv2_qat_dis.yaml
@@ -58,5 +58,6 @@ TrainConfig:
   eval_iter: 1000
   learning_rate: 0.0001
   optimizer: SGD
+  optim_args:
+    weight_decay: 4.0e-05
   origin_metric: 0.765
-  weight_decay: 4.0e-05
diff --git a/demo/auto-compression/configs/PaddleDet/coco_dataset.yml b/demo/auto-compression/configs/PaddleDet/coco_dataset.yml
new file mode 100644
index 0000000000000000000000000000000000000000..7a62c3b0b57a5d76c8ed519d3a3940c1b4532c15
--- /dev/null
+++ b/demo/auto-compression/configs/PaddleDet/coco_dataset.yml
@@ -0,0 +1,19 @@
+metric: COCO
+num_classes: 80
+
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco
+    data_fields: ['image', 'gt_bbox', 'gt_class', 'is_crowd']
+
+EvalDataset:
+  !COCODataSet
+    image_dir: val2017
+    anno_path: annotations/instances_val2017.json
+    dataset_dir: dataset/coco
+
+TestDataset:
+  !ImageFolder
+    anno_path: annotations/instances_val2017.json
diff --git a/demo/auto-compression/configs/PaddleDet/ppyoloe_reader.yml b/demo/auto-compression/configs/PaddleDet/ppyoloe_reader.yml
new file mode 100644
index 0000000000000000000000000000000000000000..a6a1ce6b22fa3a9d765a85a807aa407893cb6c9f
--- /dev/null
+++ b/demo/auto-compression/configs/PaddleDet/ppyoloe_reader.yml
@@ -0,0 +1,40 @@
+_BASE_: [
+  './coco_dataset.yml',
+]
+
+worker_num: 8
+TrainReader:
+  sample_transforms:
+    - Decode: {}
+    - RandomDistort: {}
+    - RandomExpand: {fill_value: [123.675, 116.28, 103.53]}
+    - RandomCrop: {}
+    - RandomFlip: {}
+  batch_transforms:
+    - BatchRandomResize: {target_size: [320, 352, 384, 416, 448, 480, 512, 544, 576, 608, 640, 672, 704, 736, 768], random_size: True, random_interp: True, keep_ratio: False}
+    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+    - Permute: {}
+    - PadGT: {}
+  batch_size: 24
+  shuffle: true
+  drop_last: true
+  use_shared_memory: true
+  collate_batch: true
+
+EvalReader:
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [640, 640], keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+    - Permute: {}
+  batch_size: 4
+
+TestReader:
+  inputs_def:
+    image_shape: [3, 640, 640]
+  sample_transforms:
+    - Decode: {}
+    - Resize: {target_size: [640, 640], keep_ratio: False, interp: 2}
+    - NormalizeImage: {mean: [0.485, 0.456, 0.406], std: [0.229, 0.224, 0.225], is_scale: True}
+    - Permute: {}
+  batch_size: 1
diff --git a/demo/auto-compression/demo_coco.py b/demo/auto-compression/demo_coco.py
new file mode 100644
index 0000000000000000000000000000000000000000..0164b28cdd55b3ffbd48fa74bca6811f243319a2
--- /dev/null
+++ b/demo/auto-compression/demo_coco.py
@@ -0,0 +1,16 @@
+import os
+import sys
+sys.path[0] = os.path.join(os.path.dirname("__file__"), os.path.pardir)
+import argparse
+
+from ppdet.core.workspace import load_config, merge_config
+from ppdet.core.workspace import create
+
+cfg = load_config('./configs/PaddleDet/ppyoloe_reader.yml')
+
+print(cfg)
+
+coco_loader = create('TestReader')(cfg['TrainDataset'], cfg['worker_num'])
+
+for data in coco_loader:
+    print(data.keys())