diff --git a/paddle/fluid/platform/device/xpu/xpu2_op_list.h b/paddle/fluid/platform/device/xpu/xpu2_op_list.h
index 7474ac88ac8db6f64c889e61352d346e0af78404..f8b15d4d4ee280ce8fb561b302a091496502207b 100644
--- a/paddle/fluid/platform/device/xpu/xpu2_op_list.h
+++ b/paddle/fluid/platform/device/xpu/xpu2_op_list.h
@@ -220,6 +220,7 @@ XPUOpMap& get_kl2_ops() {
        XPUKernelSet({pOpKernelType(vartype::INT64, XPUPlace()),
                      pOpKernelType(vartype::INT32, XPUPlace()),
                      pOpKernelType(vartype::FP32, XPUPlace())})},
+      {"exp_grad", XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace())})},
       {"exp", XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace())})},
       {"expand_as_v2",
        XPUKernelSet({pOpKernelType(vartype::INT32, XPUPlace()),
@@ -314,6 +315,10 @@ XPUOpMap& get_kl2_ops() {
                      pOpKernelType(vartype::FP32, XPUPlace())})},
       {"grid_sampler",
        XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace())})},
+      {"hard_sigmoid_grad",
+       XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace())})},
+      {"hard_sigmoid",
+       XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace())})},
       {"hard_swish_grad",
        XPUKernelSet({pOpKernelType(vartype::FP32, XPUPlace()),
                      pOpKernelType(vartype::FP16, XPUPlace())})},
diff --git a/paddle/phi/kernels/xpu/activation_grad_kernel.cc b/paddle/phi/kernels/xpu/activation_grad_kernel.cc
index a30f63d176e5033b73eec79ad69a9d4fa91894eb..e3b5e1bfcd3fd0d20fc98d870a517b1e98a634ca 100644
--- a/paddle/phi/kernels/xpu/activation_grad_kernel.cc
+++ b/paddle/phi/kernels/xpu/activation_grad_kernel.cc
@@ -160,6 +160,21 @@ int xpu_activation_backward(const Context& dev_ctx,
   return r;
 }
 
+template <typename T>
+struct XPUExpGradFunctor : public funcs::BaseActivationFunctor<T> {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  template <typename Context>
+  void operator()(const Context& dev_ctx,
+                  const DenseTensor* x,
+                  const DenseTensor* out,
+                  const DenseTensor* dout,
+                  DenseTensor* dx) const {
+    int r = xpu_activation_backward<Context, T, XPUType>(
+        dev_ctx, x, out, dout, dx, xpu::exp_grad<XPUType>);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "exp_grad");
+  }
+};
+
 template <typename T>
 struct XPULogGradFunctor : public funcs::BaseActivationFunctor<T> {
   template <typename Context>
@@ -238,6 +253,39 @@ struct XPULeakyReluGradFunctor : public funcs::BaseActivationFunctor<T> {
   }
 };
 
+template <typename T>
+struct XPUHardSigmoidGradFunctor : public funcs::BaseActivationFunctor<T> {
+  using XPUType = typename XPUTypeTrait<T>::Type;
+  float slope;
+  float offset;
+  typename funcs::BaseActivationFunctor<T>::AttrPair GetAttrs() {
+    return {{"slope", &slope}, {"offset", &offset}};
+  }
+
+  template <typename Context>
+  void operator()(const Context& dev_ctx,
+                  const DenseTensor* x,
+                  const DenseTensor* out,
+                  const DenseTensor* dout,
+                  DenseTensor* dx) const {
+    const T* y_data = out->data<T>();
+    const T* y_grad = dout->data<T>();
+    T* x_grad = dx->data<T>();
+
+    auto xpu_context = dev_ctx.x_context();
+    int r = xpu::hard_sigmoid_grad(
+        xpu_context,
+        reinterpret_cast<const XPUType*>(
+            y_data),  // hard_sigmoid_grad do not need x_data
+        reinterpret_cast<const XPUType*>(y_data),
+        reinterpret_cast<const XPUType*>(y_grad),
+        reinterpret_cast<XPUType*>(x_grad),
+        dx->numel(),
+        slope);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "hard_sigmoid_grad");
+  }
+};
+
 template <typename T>
 struct XPUHardSwishGradFunctor : public funcs::BaseActivationFunctor<T> {
   float threshold;
@@ -497,6 +545,7 @@ struct XPUSoftPlusGradFunctor : public funcs::BaseActivationFunctor<T> {
   }
 };
 
+DEFINE_XPU_ACTIVATION_GRAD_KERNEL_DEPOUT(Exp, XPUExpGradFunctor);
 DEFINE_XPU_ACTIVATION_GRAD_KERNEL_DEPOUT(Reciprocal, XPUReciprocalGradFunctor);
 DEFINE_XPU_ACTIVATION_GRAD_KERNEL_DEPOUT(Sigmoid, XPUSigmoidGradFunctor);
 DEFINE_XPU_ACTIVATION_GRAD_KERNEL_DEPOUT(Sqrt, XPUSqrtGradFunctor);
@@ -524,6 +573,10 @@ DEFINE_XPU_ACT_GRAD_KERNEL_WITH_TWO_ATTRS_DEPX(Softplus,
                                                XPUSoftPlusGradFunctor,
                                                beta,
                                                threshold)
+DEFINE_XPU_ACT_GRAD_KERNEL_WITH_TWO_ATTRS_DEPOUT(HardSigmoid,
+                                                 XPUHardSigmoidGradFunctor,
+                                                 slope,
+                                                 offset)
 
 template <typename T, typename Context>
 void HardSwishGradKernel(const Context& dev_ctx,
@@ -560,8 +613,10 @@ PD_REGISTER_KERNEL(tanh_grad,
                    phi::TanhGradKernel,
                    float,
                    phi::dtype::float16) {}
+PD_REGISTER_ACTIVATION_GRAD_KERNEL(exp_grad, ExpGradKernel)
 PD_REGISTER_ACTIVATION_GRAD_KERNEL(log_grad, LogGradKernel)
 PD_REGISTER_ACTIVATION_GRAD_KERNEL(leaky_relu_grad, LeakyReluGradKernel)
+PD_REGISTER_ACTIVATION_GRAD_KERNEL(hard_sigmoid_grad, HardSigmoidGradKernel)
 PD_REGISTER_ACTIVATION_GRAD_KERNEL(hard_swish_grad, HardSwishGradKernel)
 PD_REGISTER_ACTIVATION_GRAD_KERNEL(reciprocal_grad, ReciprocalGradKernel)
 PD_REGISTER_ACTIVATION_GRAD_KERNEL(relu6_grad, Relu6GradKernel)
diff --git a/paddle/phi/kernels/xpu/activation_kernel.cc b/paddle/phi/kernels/xpu/activation_kernel.cc
index f730c38e8f0f22844c77b67264ff87fa75d18145..51f74bd34750a91a14d089212ff7c4ac5a7c705f 100644
--- a/paddle/phi/kernels/xpu/activation_kernel.cc
+++ b/paddle/phi/kernels/xpu/activation_kernel.cc
@@ -226,6 +226,25 @@ void PowKernel(const Context& dev_ctx,
   PADDLE_ENFORCE_XDNN_SUCCESS(r, "broadcast_pow");
 }
 
+template <typename T>
+struct XPUHardSigmoidFunctor : public funcs::BaseActivationFunctor<T> {
+  float slope;
+  float offset;
+  typename funcs::BaseActivationFunctor<T>::AttrPair GetAttrs() {
+    return {{"slope", &slope}, {"offset", &offset}};
+  }
+
+  template <typename Context>
+  void operator()(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  DenseTensor* out) const {
+    using XPUType = typename XPUTypeTrait<T>::Type;
+    int r = xpu_activation_1attr_func<Context, T, XPUType>(
+        dev_ctx, x, out, slope, xpu::hard_sigmoid<XPUType>);
+    PADDLE_ENFORCE_XDNN_SUCCESS(r, "hard_sigmoid");
+  }
+};
+
 template <typename T>
 struct XPUHardSwishFunctor : public funcs::BaseActivationFunctor<T> {
   float threshold;
@@ -428,6 +447,10 @@ DEFINE_XPU_ACTIVATION_KERNEL_WITH_TWO_ATTRS(Softplus,
                                             XPUSoftplusFunctor,
                                             beta,
                                             threshold)
+DEFINE_XPU_ACTIVATION_KERNEL_WITH_TWO_ATTRS(HardSigmoid,
+                                            XPUHardSigmoidFunctor,
+                                            slope,
+                                            offset)
 
 template <typename T, typename Context>
 void HardSwishRawKernel(const Context& dev_ctx,
@@ -459,6 +482,7 @@ PD_REGISTER_KERNEL(
 PD_REGISTER_ACTIVATION_KERNEL(exp, ExpKernel)  // no grad
 PD_REGISTER_ACTIVATION_KERNEL(log, LogKernel)
 PD_REGISTER_ACTIVATION_KERNEL(leaky_relu, LeakyReluKernel)
+PD_REGISTER_ACTIVATION_KERNEL(hard_sigmoid, HardSigmoidKernel)
 PD_REGISTER_ACTIVATION_KERNEL(hard_swish_raw, HardSwishRawKernel)
 PD_REGISTER_ACTIVATION_KERNEL(mish, MishKernel)
 PD_REGISTER_ACTIVATION_KERNEL(pow, PowKernel)