diff --git a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet121.yaml b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet121.yaml
index 79da662a36f..b9da893f6da 100644
--- a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet121.yaml
+++ b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet121.yaml
@@ -38,6 +38,14 @@ quantization:                                        # optional. tuning constrai
       algorithm: minmax
     weight:
       granularity: per_channel
+  op_wise: {
+             'densenet121/MaxPool2D/MaxPool': {
+               'activation':  {'dtype': ['fp32']}
+             },
+             'densenet121/transition_block[1-3]/AvgPool2D/AvgPool': {
+               'activation':  {'dtype': ['fp32']},
+             }
+           }
 
 evaluation:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
   accuracy:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
diff --git a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet161.yaml b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet161.yaml
index b5629ad649c..5312ed341fa 100644
--- a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet161.yaml
+++ b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet161.yaml
@@ -38,6 +38,14 @@ quantization:                                        # optional. tuning constrai
       algorithm: minmax
     weight:
       granularity: per_channel
+  op_wise: {
+             'densenet161/MaxPool2D/MaxPool': {
+               'activation':  {'dtype': ['fp32']}
+             },
+             'densenet161/transition_block[1-3]/AvgPool2D/AvgPool': {
+               'activation':  {'dtype': ['fp32']},
+             }
+           }
 
 evaluation:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
   accuracy:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
diff --git a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet169.yaml b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet169.yaml
index 6892b69dc73..b63414d8acf 100644
--- a/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet169.yaml
+++ b/examples/tensorflow/image_recognition/tensorflow_models/quantization/ptq/densenet169.yaml
@@ -38,6 +38,14 @@ quantization:                                        # optional. tuning constrai
       algorithm: minmax
     weight:
       granularity: per_channel
+  op_wise: {
+             'densenet169/MaxPool2D/MaxPool': {
+               'activation':  {'dtype': ['fp32']}
+             },
+             'densenet169/transition_block[1-3]/AvgPool2D/AvgPool': {
+               'activation':  {'dtype': ['fp32']},
+             }
+           }
 
 evaluation:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.
   accuracy:                                          # optional. required if user doesn't provide eval_func in neural_compressor.Quantization.