delete note, test=develop

lite/core/mir/fusion/conv_bn_fuse_pass.cc

@@ -30,8 +30,6 @@ void ConvBNFusePass::Apply(const std::unique_ptr<SSAGraph>& graph) {
   // start fuse using params
   for (auto conv_has_bias : conv_has_bias_cases) {
     for (auto conv_type : conv_type_cases) {
-      std::cout << "conv_has_bias:" << conv_has_bias
-              << " conv_type:" << conv_type << std::endl;
       VLOG(4) << "conv_has_bias:" << conv_has_bias
               << " conv_type:" << conv_type;
       fusion::ConvBNFuser fuser(conv_type, conv_has_bias);

lite/core/mir/fusion/conv_bn_fuser.cc

@@ -153,16 +153,6 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
     // compute new conv_weight for int8
     auto weight_scale =
         conv_op_desc->GetAttr<std::vector<float>>("weight_scale");
-/*    for (unsigned int i = 0; i < h; ++i) {
-      weight_scale[i] *= fabsf(alpha_data[i]);
-      if (alpha_data[i] < 0.f) {
-        auto ptr_row = conv_weight_d + i * w;
-        for (unsigned int j = 0; j < w; ++j) {
-          ptr_row[j] *= -1;
-        }
-      }
-    }
-*/
     if (conv_type_ == "conv2d_transpose") {
       int c_size = conv_weight_t->dims()[1] * conv_weight_t->dims()[2] *
                    conv_weight_t->dims()[3];
@@ -203,11 +193,6 @@ void ConvBNFuser::InsertNewNode(SSAGraph* graph, const key2nodes_t& matched) {
   } else {
     // compute new conv_weight
     auto conv_weight_d = conv_weight_t->mutable_data<float>();
-    /*for (unsigned int i = 0; i < h; ++i) {    // n: conv2d output channels
-      for (unsigned int j = 0; j < w; ++j) {  // w: conv2d input channels
-        conv_weight_d[i * w + j] *= alpha_data[i];
-      }
-    }*/
   if (conv_type_ == "conv2d_transpose") {
       int c_size = conv_weight_t->dims()[1] * conv_weight_t->dims()[2] * 
                    conv_weight_t->dims()[3];