Fix the bug of test_conv2d_int8_mkldnn case which raised by improper parameter passing (#17058)

* resolve #17057

Fixed the bug that fuse_relu/fuse_residual option couldn't be passed to class TestConv2dInt8Op.

test=develop

* Fix the bug of test_conv2d_int8_mkldnn case which raised by improper parameter passing.

test=develop

python/paddle/fluid/tests/unittests/mkldnn/test_conv2d_int8_mkldnn_op.py

@@ -102,25 +102,26 @@ class TestConv2dInt8Op(TestConv2dOp):
             output1 = conv2d_forward_refer(
                 input.astype(np.int32), filter_int, self.groups,
                 conv2d_param).astype(np.float32)
+            output1_tmp = np.round(output1 * (
+                self.scale_out / (self.scale_in * self.scale_weights[0])))
+
             if self.fuse_residual:
                 input_residual = np.random.randint(
                     0, 10, self.input_residual_size).astype(self.srctype)
-                output_tmp = np.round(output1 * (self.scale_out / (
+                output_tmp_res = np.round(output1 * (self.scale_out / (
                     self.scale_in * self.scale_weights[0])) + format_reorder(
                         input_residual, self.input_residual_size).astype(
                             np.int32) * (self.scale_out / self.scale_in_eltwise
                                          ))
-                output_tmp2 = np.round(output1 * (
-                    self.scale_out / (self.scale_in * self.scale_weights[0])))
                 if self.fuse_relu:
-                    output = np.maximum(output_tmp, 0).astype(self.dsttype)
+                    output = np.maximum(output_tmp_res, 0).astype(self.dsttype)
                 else:
-                    output = output_tmp.astype(self.dsttype)
+                    output = output_tmp_res.astype(self.dsttype)
             else:
                 if self.fuse_relu:
-                    output = np.maximum(output_tmp2, 0).astype(self.dsttype)
+                    output = np.maximum(output1_tmp, 0).astype(self.dsttype)
                 else:
-                    output = output_tmp2.astype(self.dsttype)
+                    output = output1_tmp.astype(self.dsttype)
 
         self.inputs = {
             'Input':
@@ -265,10 +266,8 @@ def init_data_type_with_fusion(self, input_dt, fuse_relu, fuse_residual):
     self.srctype = input_dt
     self.dsttype = np.uint8 if fuse_relu else np.int8
 
-    def init_fuse_relu(self):
     self.fuse_relu = fuse_relu
 
-    def init_fuse_residual(self):
     self.fuse_residual = fuse_residual