fix(mgb/gopt): fix opt pass elementwise operation shape issue at tranform to NCHW4

GitOrigin-RevId: c0c4e3f82ecd1149855b969027de5fe49b6efe95

src/gopt/impl/tensor_reformat.cpp

@@ -1670,10 +1670,6 @@ std::unique_ptr<EnableNCHW4Pass> EnableNCHW4Pass::make_nchw4_converter() {
     };
     auto replace_elemwise_opr = [=](OperatorNodeBase* opr,
                                     const VarNodeArray& new_inp) {
-        if (new_inp[0]->dtype().enumv() == DTypeEnum::Float32) {
-            return serialization::copy_opr_shallow(*opr, new_inp,
-                                                   opr->config());
-        }
         mgb_assert(opr->input().size() == new_inp.size());
         bool has_inp_changed = false;
         for (size_t i = 0; i < opr->input().size(); i++) {
@@ -2827,18 +2823,18 @@ MGB_DEFINE_OPR_CLASS(ShuffleShuffleRemovePass::Impl::AbstractShuffleOpr,
 public:
     AbstractShuffleOpr(VarNode* inpvar, TensorFormat inp_format,
                        TensorFormat out_format);
-    
+
     static SymbolVar make(VarNode* inpvar, TensorFormat inp_format,
                           TensorFormat out_format);
-    
+
     TensorFormat inp_format() const {
         return m_inp_format;
     }
-    
+
     TensorFormat out_format() const {
         return m_out_format;
     }
-    
+
 private:
     void init_output_static_infer_desc() override;
     void scn_do_execute() override;
@@ -3262,7 +3258,7 @@ void FoldingConvBiasDimshufflePass::apply(OptState& opt) const {
         auto tshp = opr::Concat::make({sub(0), sub(1) * 4, sub(2), sub(3)}, 0);
         auto y0 = opr::Dimshuffle::make(x, {0, 1, 4, 2, 3});
         auto y1 = opr::Reshape::make(y0, tshp);
-        auto y2 = opr::TypeCvt::make(y1, dtype::Float32());  
+        auto y2 = opr::TypeCvt::make(y1, dtype::Float32());
         return y2.node();
     };
 

src/gopt/test/inference.cpp

@@ -2910,7 +2910,8 @@ TEST(TestGoptInference, ConvertFormatNCHW4GPU) {
             conv1, w2, b2, param_conv_bias, {},
             OperatorNodeConfig{dtype::QuantizedS8{2.5f}});
 
-    auto y = opr::TypeCvt::make(conv2, dtype::Float32());
+    auto conv2_fp32 = opr::TypeCvt::make(conv2, dtype::Float32());
+    auto y = conv2_fp32 + opr::TypeCvt::make(b2, dtype::Float32());
 
     SymbolVar y_opt;
     {
@@ -4076,7 +4077,7 @@ TEST(TestGoptInference, FoldingConvDimshuffleNCHW32NCHW4) {
 
     auto y = opr::ConvBias::make(x, w, b, param, {},
                                  OperatorNodeConfig{dtype::QuantizedS8(2.5f)});
-    param.stride_h = param.stride_w = 1; 
+    param.stride_h = param.stride_w = 1;
     y = opr::ConvBias::make(y, w1, b1, param, {},
                             OperatorNodeConfig{dtype::QuantizedS8(2.5f)});
     y = opr::TypeCvt::make(y, dtype::Float32());