add RT-DETR Quant demo (#1741)

example/auto_compression/detection/configs/rtdetr_r50vd_qat_dis.yaml

+
+Global:
+  reader_config: configs/rtdetr_reader.yml
+  include_nms: True
+  Evaluation: True
+  model_dir: ./rtdetr_r50vd_6x_coco/ 
+  model_filename: model.pdmodel
+  params_filename: model.pdiparams
+
+Distillation:
+  alpha: 1.0
+  loss: soft_label
+
+QuantAware:
+  onnx_format: true
+  activation_quantize_type: 'moving_average_abs_max'
+  quantize_op_types:
+  - conv2d
+  - depthwise_conv2d
+
+TrainConfig:
+  train_iter: 10
+  eval_iter: 10
+  learning_rate:  
+    type: CosineAnnealingDecay
+    learning_rate: 0.00003
+    T_max: 10000
+  optimizer_builder:
+    optimizer: 
+      type: SGD
+    weight_decay: 4.0e-05

example/auto_compression/detection/configs/rtdetr_reader.yml

+metric: COCO
+num_classes: 80
+
+# Datset configuration
+TrainDataset:
+  !COCODataSet
+    image_dir: train2017
+    anno_path: annotations/instances_train2017.json
+    dataset_dir: dataset/coco/
+  !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: False, interp: 2}
+    - NormalizeImage: {mean: [0., 0., 0.], std: [1., 1., 1.], norm_type: none}
+    - Permute: {}
+  batch_size: 1
+  shuffle: false
+  drop_last: false

paddleslim/common/recover_program.py

@@ -49,7 +49,7 @@ def _recover_outputs_attr(program):
                         persistable=False,
                         stop_gradient=True)
                     op.desc.set_output("ReserveSpace", [reserve_space.name])
-            if op.type == 'transpose2':
+            if op.type == 'transpose2' or op.type == 'flatten_contiguous_range' or op.type == 'unsqueeze2':
                 if 'XShape' not in op.output_names:
                     xshape = block.create_var(
                         name=paddle.fluid.