diff --git a/paddleslim/auto_compression/auto_strategy.py b/paddleslim/auto_compression/auto_strategy.py
index 451f6007579dd96a15a753b97d29b165c930f97b..eab962add5804c2b3bb1bf965e1f97b2890f0041 100644
--- a/paddleslim/auto_compression/auto_strategy.py
+++ b/paddleslim/auto_compression/auto_strategy.py
@@ -47,8 +47,10 @@ default_hpo_config = {
 
 # default quant config, can be used by ptq&hpo and qat&distillation
 default_quant_config = {
-    'quantize_op_types':
-    ['conv2d', 'depthwise_conv2d', 'mul', 'matmul', 'matmul_v2'],
+    'quantize_op_types': [
+        'conv2d', 'depthwise_conv2d', 'conv2d_transpose', 'mul', 'matmul',
+        'matmul_v2'
+    ],
     'weight_bits': 8,
     'activation_bits': 8,
     "is_full_quantize": False,
diff --git a/paddleslim/auto_compression/strategy_config.py b/paddleslim/auto_compression/strategy_config.py
index aad5e23e1a5d8dae0c39d9f392a885db1d64696a..d8b3e90ce73762fd7365e9b0951e6c404f484dd2 100644
--- a/paddleslim/auto_compression/strategy_config.py
+++ b/paddleslim/auto_compression/strategy_config.py
@@ -53,7 +53,8 @@ class BaseStrategy:
 class Quantization(BaseStrategy):
     def __init__(self,
                  quantize_op_types=[
-                     'conv2d', 'depthwise_conv2d', 'mul', 'matmul', 'matmul_v2'
+                     'conv2d', 'depthwise_conv2d', 'conv2d_transpose', 'mul',
+                     'matmul', 'matmul_v2'
                  ],
                  weight_bits=8,
                  activation_bits=8,