Fix auto-compression demo (#1035)

* fix

* fix ac demo

demo/auto-compression/README.md

@@ -54,9 +54,9 @@ python tools/export_model.py \
 ```
 cd PaddleSlim/demo/auto-compression/
 ```
-使用[eval.py](../quant_post/eval.py)脚本得到模型的分类精度：
+使用[eval.py](../quant/quant_post/eval.py)脚本得到模型的分类精度：
 ```
-python ../quant_post/eval.py --model_path infermodel_mobilenetv2 --model_name inference.pdmodel --params_name inference.pdiparams
+python ../quant/quant_post/eval.py --model_path infermodel_mobilenetv2 --model_name inference.pdmodel --params_name inference.pdiparams
 ```
 精度输出为:
 ```

demo/auto-compression/configs/CV/mbv2_qat_dis.yaml

@@ -41,7 +41,7 @@ Distillation:
   - teacher_linear_1.tmp_0
   - linear_1.tmp_0
   merge_feed: true
-  teacher_model_dir: ./MobileNetV2_ssld_infer
+  teacher_model_dir: ./infermodel_mobilenetv2
   teacher_model_filename: inference.pdmodel
   teacher_params_filename: inference.pdiparams
 Quantization:

demo/auto-compression/configs/NLP/bert_asp_dis.yaml

@@ -29,7 +29,7 @@ Distillation:
   - teacher_linear_147.tmp_1
   - linear_147.tmp_1
   merge_feed: true
-  teacher_model_dir: ../auto-compression_origin/static_bert_models
+  teacher_model_dir: static_bert_models
   teacher_model_filename: bert.pdmodel
   teacher_params_filename: bert.pdiparams
 Prune:

demo/auto-compression/run_gelu.sh

-python3.7 demo_glue.py --config_path ./configs/NLP/bert_qat_dis.yaml --task 'sst-2' \
-    --model_dir='../auto-compression_origin/static_bert_models/' \
+python3.7 demo_glue.py \
+    --model_dir='./static_bert_models/' \
     --model_filename='bert.pdmodel' \
     --params_filename='bert.pdiparams' \
     --save_dir='./save_asp_bert/' \
-    --devices='gpu' \
+    --devices='cpu' \
     --batch_size=32 \
+    --task='sst-2' \
+    --config_path='./configs/NLP/bert_asp_dis.yaml'

demo/auto-compression/run_imagenet.sh

-python3.7 demo_imagenet.py --config_path ./configs/CV/mbv2_ptq_hpo.yaml \
-    --model_dir='../auto-compression_origin/MobileNetV2_ssld_infer/' \
+python3.7 demo_imagenet.py \
+    --model_dir='infermodel_mobilenetv2' \
     --model_filename='inference.pdmodel' \
     --params_filename='./inference.pdiparams' \
     --save_dir='./save_qat_mbv2/' \
-    --devices='gpu' \
-    --batch_size=64 \
+    --devices='cpu' \
+    --batch_size=2 \
+    --config_path='./configs/CV/mbv2_ptq_hpo.yaml'

demo/quant/quant_post/eval.py

@@ -21,6 +21,8 @@ import functools
 import paddle
 sys.path[0] = os.path.join(
     os.path.dirname("__file__"), os.path.pardir, os.path.pardir)
+sys.path[1] = os.path.join(
+    os.path.dirname("__file__"), os.path.pardir)
 import imagenet_reader as reader
 from utility import add_arguments, print_arguments
 

paddleslim/auto_compression/compressor.py

@@ -276,6 +276,7 @@ class AutoCompression:
 
             ### used to check whether the dataloader is right
             if self.eval_function is not None and self.train_config.origin_metric is not None:
+                _logger.info("start to test metric before compress")
                 metric = self.eval_function(self._exe, inference_program,
                                             feed_target_names, fetch_targets)
                 _logger.info("metric of compressed model is: {}".format(metric))