fix ci, second try

src/layer/x86/convolution_3x3_pack8to1_int8.h

@@ -968,10 +968,10 @@ static void conv3x3s1_winograd42_pack8to1_int8_sse(const Mat& bottom_blob, Mat&
                         _sum1 = _mm_add_epi32(_sum1, _mm_unpackhi_epi16(_sl0, _sh0));
                         _sum2 = _mm_add_epi32(_sum2, _mm_unpacklo_epi16(_sl1, _sh1));
                         _sum3 = _mm_add_epi32(_sum3, _mm_unpackhi_epi16(_sl1, _sh1));
-                        _sum4 = _mm_add_epi32(_sum0, _mm_unpacklo_epi16(_sl2, _sh2));
-                        _sum5 = _mm_add_epi32(_sum1, _mm_unpackhi_epi16(_sl2, _sh2));
-                        _sum6 = _mm_add_epi32(_sum2, _mm_unpacklo_epi16(_sl3, _sh3));
-                        _sum7 = _mm_add_epi32(_sum3, _mm_unpackhi_epi16(_sl3, _sh3));
+                        _sum4 = _mm_add_epi32(_sum4, _mm_unpacklo_epi16(_sl2, _sh2));
+                        _sum5 = _mm_add_epi32(_sum5, _mm_unpackhi_epi16(_sl2, _sh2));
+                        _sum6 = _mm_add_epi32(_sum6, _mm_unpacklo_epi16(_sl3, _sh3));
+                        _sum7 = _mm_add_epi32(_sum7, _mm_unpackhi_epi16(_sl3, _sh3));
 
                         k0 += 8;
                         r0 += 32;

src/layer/x86/convolution_x86.cpp

@@ -1342,10 +1342,10 @@ int Convolution_x86::create_pipeline_int8_x86(const Option& opt)
         {
             convolution_im2col_sgemm_transform_kernel_pack8to1_int8_sse(weight_data, weight_sgemm_data, num_input, num_output, kernel_w, kernel_h);
         }
-        // else if (opt.use_winograd_convolution && kernel_w == 3 && kernel_h == 3 && dilation_w == 1 && dilation_h == 1 && stride_w == 1 && stride_h == 1)
-        // {
-        //     conv3x3s1_winograd42_transform_kernel_pack8to1_int8_sse(weight_data, weight_3x3_winograd42_data, num_input, num_output, opt);
-        // }
+        else if (opt.use_winograd_convolution && kernel_w == 3 && kernel_h == 3 && dilation_w == 1 && dilation_h == 1 && stride_w == 1 && stride_h == 1)
+        {
+            conv3x3s1_winograd42_transform_kernel_pack8to1_int8_sse(weight_data, weight_3x3_winograd42_data, num_input, num_output, opt);
+        }
         else if (opt.use_sgemm_convolution) // TODO better condition && num_input >= 8 && num_output >= 8)
         {
             convolution_im2col_sgemm_transform_kernel_pack8to1_int8_sse(weight_data, weight_sgemm_data, num_input, num_output, kernel_w, kernel_h);
@@ -1569,10 +1569,10 @@ int Convolution_x86::forward_int8_x86(const Mat& bottom_blob, Mat& top_blob, con
         {
             conv1x1s2_sgemm_pack8to1_int8_sse(bottom_blob_bordered, top_blob_int32, weight_sgemm_data, opt);
         }
-        // else if (opt.use_winograd_convolution && kernel_w == 3 && kernel_h == 3 && dilation_w == 1 && dilation_h == 1 && stride_w == 1 && stride_h == 1)
-        // {
-        //     conv3x3s1_winograd42_pack8to1_int8_sse(bottom_blob_bordered, top_blob_int32, weight_3x3_winograd42_data, opt);
-        // }
+        else if (opt.use_winograd_convolution && kernel_w == 3 && kernel_h == 3 && dilation_w == 1 && dilation_h == 1 && stride_w == 1 && stride_h == 1)
+        {
+            conv3x3s1_winograd42_pack8to1_int8_sse(bottom_blob_bordered, top_blob_int32, weight_3x3_winograd42_data, opt);
+        }
         else if (opt.use_sgemm_convolution) // TODO better condition && num_input >= 8 && num_output >= 8)
         {
             convolution_im2col_sgemm_pack8to1_int8_sse(bottom_blob_bordered, top_blob_int32, weight_sgemm_data, kernel_w, kernel_h, dilation_w, dilation_h, stride_w, stride_h, opt);