diff --git a/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp b/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
index 647ecb5a6501371c74c8762cf81cee206f1dca68..e41061d4d1b25ebc379b1eeca0990d6073f4b6b0 100644
--- a/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
+++ b/mobile/src/operators/kernel/fpga/V1/reshape2_kernel.cpp
@@ -92,6 +92,31 @@ void reshape(LoDTensor *input, LoDTensor *output) {
   fpga::fpga_flush(output_ptr, Hr * WCr_align * sizeof(half));
 }
 
+static inline bool reshape2_judge(const framework::DDim input_dims,const framework::DDim output_dims){
+	int input_dims_size = input_dims.size();
+	int output_dims_size = output_dims.size();
+	bool dims_flag2 = true;
+	auto temp_dims = input_dims_size > output_dims_size ? input_dims : output_dims;
+	int  short_dims = input_dims_size > output_dims_size ? output_dims_size : input_dims_size;
+	for(int i = 0; i < temp_dims.size(); ++i){
+	   if(i < short_dims){
+		   if(input_dims[i] != output_dims[i]){
+				 dims_flag2 = false;
+				 break;
+		   }
+	   }
+	   else{
+		   if(temp_dims[i] != 1){
+			   dims_flag2 = false;
+			   break;
+		   }
+	   }
+	}
+	return dims_flag2;
+
+
+}
+
 template <>
 void Reshape2Kernel<FPGA, float>::Compute(const Reshape2Param<FPGA> &param) {
   auto input = const_cast<LoDTensor *>(param.InputX());
@@ -109,7 +134,19 @@ void Reshape2Kernel<FPGA, float>::Compute(const Reshape2Param<FPGA> &param) {
     }
   }
   output->Resize(framework::make_ddim(shape));
-  if (output->dims() == input->dims()) {
+
+  auto input_dims = input->dims();
+  auto output_dims = output->dims();
+
+  bool dims_flags = input_dims  == output_dims;
+  bool dims_flag2 = true;
+
+  if(!dims_flags){
+	 dims_flag2 = reshape2_judge(input_dims, output_dims);
+  }
+ 
+  
+  if (dims_flags || dims_flag2 ) {
     DLOG << "No need to reshape";
     output->ShareDataWith(*input);
     framework::LoD lod = input->lod();