Fix the regression that made yolo-v3 accuracy drop. (#514)

* Fix the regression that made yolo-v3 accuracy drop.

* Improve the accuracy.

Author: guomingz

examples/tensorflow/object_detection/yolo_v3/yolo_v3.yaml

@@ -6,7 +6,7 @@ model:                                               # mandatory. neural_compres
 
 quantization:                                        # optional. tuning constraints on model-wise for advance user to reduce tuning space.
   calibration:
-    sampling_size: 10                  # optional. default value is the size of whole dataset. used to set how many portions of calibration dataset is used. exclusive with iterations field.
+    sampling_size: 2                  # optional. default value is the size of whole dataset. used to set how many portions of calibration dataset is used. exclusive with iterations field.
     dataloader:                                      # optional. if not specified, user need construct a q_dataloader in code for neural_compressor.Quantization.
       batch_size: 1
       dataset:

neural_compressor/adaptor/tf_utils/quantize_graph/quantize_graph_conv.py

@@ -264,11 +264,11 @@ def apply_conv_biasadd_addn_relu_fusion(self, match_node_name):
             matched_node.node.name)
         weight_name = normal_inputs[1]
 
-        if not self._find_relu_node(matched_node.node):
-            return self.apply_conv_biasadd_fusion(match_node_name[:2])
-
         third_node = self.node_name_mapping[match_node_name[2]].node
         forth_node = self.node_name_mapping[match_node_name[3]].node
+        if third_node.op != 'LeakyRelu' and not self._find_relu_node(matched_node.node):
+            return self.apply_conv_biasadd_fusion(match_node_name[:2])
+
         is_leakyrelu_add_fusion = third_node.op == 'LeakyRelu' and forth_node.op.find('Add') != -1
 
         q_weights_name, q_weights_min_name, q_weights_max_name = \