diff --git a/mindspore/lite/micro/coder/generator/component/weight_component.cc b/mindspore/lite/micro/coder/generator/component/weight_component.cc
index 8462f40452..aaeb6df248 100644
--- a/mindspore/lite/micro/coder/generator/component/weight_component.cc
+++ b/mindspore/lite/micro/coder/generator/component/weight_component.cc
@@ -36,7 +36,7 @@ void CodeWeightFileHeader(std::ofstream &ofs, const std::unique_ptr<CoderContext
          "  RET_ERROR = 1,\n"
          "};\n\n";
   // set a global var for thread_pool
-  ofs << "static int" << gThreadNum << " = 1;\n";
+  ofs << "extern int " << gThreadNum << ";\n";
 }
 
 void CodeModelParamsState(std::ofstream &ofs, const std::map<std::string, Tensor *> &weights) {
diff --git a/mindspore/lite/micro/coder/generator/generator.cc b/mindspore/lite/micro/coder/generator/generator.cc
index 0ee720cfd7..5edd015d5d 100644
--- a/mindspore/lite/micro/coder/generator/generator.cc
+++ b/mindspore/lite/micro/coder/generator/generator.cc
@@ -134,7 +134,8 @@ int Generator::CodeWeightFile() {
   MS_LOG(INFO) << "write " << cfile;
   cofs << g_hwLicense;
   cofs << "#include \"" << net_weight_hfile_ << "\"\n\n";
-  cofs << "unsigned char * " << ctx_->buffer_name() << " = 0 ; \n";
+  cofs << "int " << gThreadNum << " = 1;\n";
+  cofs << "unsigned char * " << ctx_->buffer_name() << " = 0;\n";
 
   if (config_->target() != kARM32M) {
     std::string net_file = net_src_file_path_ + "net.bin";
diff --git a/mindspore/lite/micro/coder/opcoders/base/reshape_base_coder.cc b/mindspore/lite/micro/coder/opcoders/base/reshape_base_coder.cc
index 0c4ba6c21a..b3f41ab9ad 100644
--- a/mindspore/lite/micro/coder/opcoders/base/reshape_base_coder.cc
+++ b/mindspore/lite/micro/coder/opcoders/base/reshape_base_coder.cc
@@ -29,15 +29,7 @@ using mindspore::schema::PrimitiveType_Unsqueeze;
 
 namespace mindspore::lite::micro {
 
-int ReshapeBaseCoder::Prepare(CoderContext *const context) {
-  bool is_next_conv = std::any_of(output_ops().begin(), output_ops().end(), [](OperatorCoder *next_op) {
-    return next_op->type() == schema::PrimitiveType_Conv2DFusion;
-  });
-  if (is_next_conv && output_tensor_->shape().size() == 4 && output_tensor_->format() == schema::Format::Format_NCHW) {
-    output_tensor_->set_format(schema::Format::Format_NHWC);
-  }
-  return RET_OK;
-}
+int ReshapeBaseCoder::Prepare(CoderContext *const context) { return RET_OK; }
 
 int ReshapeBaseCoder::DoCode(CoderContext *const context) {
   Serializer coder;
diff --git a/mindspore/lite/micro/coder/opcoders/nnacl/fp32/convolution_depthwise_fp32_coder.cc b/mindspore/lite/micro/coder/opcoders/nnacl/fp32/convolution_depthwise_fp32_coder.cc
index 3dc8d85696..bfdd1b4ee3 100644
--- a/mindspore/lite/micro/coder/opcoders/nnacl/fp32/convolution_depthwise_fp32_coder.cc
+++ b/mindspore/lite/micro/coder/opcoders/nnacl/fp32/convolution_depthwise_fp32_coder.cc
@@ -62,7 +62,7 @@ int ConvolutionDepthwiseFP32Coder::DoCode(CoderContext *const context) {
   MS_CHECK_TRUE(conv_param_->input_channel_ == conv_param_->output_channel_,
                 "Only support input channel equals output channel.");
   // generate code .h .c
-  Collect(context, {"nnacl/fp32/conv_depthwise_fp32.h"}, {"conv_depthwise_fp32.c"});
+  Collect(context, {"nnacl/fp32/conv_depthwise_fp32.h"}, {"conv_depthwise_fp32.c"}, {"ConvDwFp32Row.S"});
 
   nnacl::NNaclFp32Serializer code;
   // call the op function