diff --git a/impl/torch/functions/functions.cpp b/impl/torch/functions/functions.cpp
index 1d7ac869e..6ee8e104e 100644
--- a/impl/torch/functions/functions.cpp
+++ b/impl/torch/functions/functions.cpp
@@ -3429,7 +3429,8 @@ diopiError_t diopiAdam(diopiContextHandle_t ctx, diopiTensorHandle_t param, diop
     if (weight_decay != 0) {
         grad_d = grad_d.add(atParam, weight_decay);
     }
-    atExpAvg.mul_(beta1).add_(grad_d, 1 - beta1);
+    // atExpAvg.mul_(beta1).add_(grad_d, 1 - beta1);
+    atExpAvg.lerp_(grad_d, 1 - beta1);
     atExpAvgSq.mul_(beta2).addcmul_(grad_d, grad_d.conj(), 1 - beta2);
 
     at::Tensor denom;
@@ -4036,19 +4037,6 @@ diopiError_t diopiNormBackward(diopiContextHandle_t ctx, diopiTensorHandle_t gra
     return diopiSuccess;
 }
 
-/*
-diopiError_t diopiNormBackward(diopiContextHandle_t ctx, diopiTensorHandle_t grad_output, diopiConstTensorHandle_t input, diopiConstTensorHandle_t grad_input,
-diopiConstTensorHandle_t result, const diopiScalar_t* p, diopiSize_t dim) { impl::aten::setCurStream(ctx); auto atInput = impl::aten::buildATen(input); auto
-atGradInput = impl::aten::buildATen(grad_input); auto atP = impl::aten::buildAtScalar(p); auto atResult = impl::aten::buildATen(result); at::IntArrayRef atDim =
-impl::aten::buildAtIntArray(dim);
-
-    bool keepdim = true;
-    auto atGradOutput = torch::autograd::generated::details::norm_backward(atGradInput, atInput, atP, atResult, atDim, keepdim);
-
-    return diopiSuccess;
-}
-*/
-
 diopiError_t diopiForeachnormScalar(diopiContextHandle_t ctx, diopiTensorHandle_t* outs, diopiConstTensorHandle_t* inputs, int64_t inputSize,
                                     const diopiScalar_t* ord) {
     DIOPI_CHECK_PTR(outs);