fix bug in PostTrainingQuantizationProgram for not full quantization case (#45500)

* fix bug in PostTrainingQuantizationProgram for not full quantization case

* fix coverage ci

python/paddle/fluid/contrib/slim/quantization/post_training_quantization.py

@@ -1055,6 +1055,8 @@ class PostTrainingQuantization(object):
                     max_scale = None
                     tmp_tensor_list = []
                     for tensor_name in tensor_list:
+                        if tensor_name not in scale_dict.keys():
+                            continue
                         if '#' in tensor_name:
                             real_tensor_name, opera, scalar = tensor_name.split(
                                 '#')
@@ -1075,6 +1077,8 @@ class PostTrainingQuantization(object):
                                     max_scale, scale_dict[tensor_name])
 
                     for tensor_name in tensor_list:
+                        if tensor_name not in scale_dict.keys():
+                            continue
                         if '#' in tensor_name:
                             real_tensor_name, opera, scalar = tensor_name.split(
                                 '#')

python/paddle/fluid/contrib/slim/tests/test_post_training_quantization_program_resnet50.py

@@ -183,7 +183,11 @@ class TestPostTrainingQuantizationProgram(TestPostTrainingQuantization):
         val_reader = val()
         same_scale_tensor_list = [[
             'batch_norm_3.tmp_2#/#1', 'batch_norm_4.tmp_2#*#1'
-        ], ['batch_norm_27.tmp_2', 'batch_norm_26.tmp_2']]
+        ], ['batch_norm_27.tmp_2', 'batch_norm_26.tmp_2'],
+                                  [
+                                      'test_scale_name_not_in_scale_dict1',
+                                      'test_scale_name_not_in_scale_dict1'
+                                  ]]
         ptq = PostTrainingQuantizationProgram(
             executor=exe,
             program=program,