diff --git a/paddle/fluid/operators/math/detail/gru_gpu_kernel.h b/paddle/fluid/operators/math/detail/gru_gpu_kernel.h
index af501a6188c928a8af3cf7f20f3ead5ada07aa2a..6b57da1046a05b15b9c3302104d9f4d12c52227f 100644
--- a/paddle/fluid/operators/math/detail/gru_gpu_kernel.h
+++ b/paddle/fluid/operators/math/detail/gru_gpu_kernel.h
@@ -159,8 +159,7 @@ __global__ void KeGruBackwardResetGrad(OpResetGrad op_reset_grad, T *gate_value,
                                        T *gate_grad, T *prev_out_value,
                                        T *prev_out_grad, T *reset_output_grad,
                                        int frame_size, int batch_size,
-                                       ActivationType active_gate,
-                                       bool origin_mode) {
+                                       ActivationType active_gate) {
   const int frame_idx = blockIdx.x * blockDim.x + threadIdx.x;
   if (frame_idx >= frame_size) return;
   int batch_idx = 0;
@@ -190,7 +189,7 @@ __global__ void KeGruBackwardResetGrad(OpResetGrad op_reset_grad, T *gate_value,
 
   op_reset_grad(&r_update_gate_value, &r_update_gate_grad, &r_reset_gate_value,
                 &r_reset_gate_grad, &r_prev_out_value, &r_prev_out_grad,
-                &r_reset_output_grad, active_gate, origin_mode);
+                &r_reset_output_grad, active_gate);
 
   gate_grad[frame_idx + frame_size * 0] = r_update_gate_grad;
   gate_grad[frame_idx + frame_size * 1] = r_reset_gate_grad;