diff --git a/paddle/phi/backends/xpu/xpu2_op_list.cc b/paddle/phi/backends/xpu/xpu2_op_list.cc
index 4071cabc27b55e5248b3e97d25ff2399c84cfcec..7908d1fc627c1af565f3ea9c9ed76e561210923a 100644
--- a/paddle/phi/backends/xpu/xpu2_op_list.cc
+++ b/paddle/phi/backends/xpu/xpu2_op_list.cc
@@ -66,6 +66,10 @@ XPUOpMap& get_kl2_ops() {
                      phi::DataType::INT64})},
       {"bilinear_interp_v2", XPUKernelSet({phi::DataType::FLOAT32})},
       {"bilinear_interp_v2_grad", XPUKernelSet({phi::DataType::FLOAT32})},
+      {"bitwise_and", XPUKernelSet({phi::DataType::BOOL})},
+      {"bitwise_not", XPUKernelSet({phi::DataType::BOOL})},
+      {"bitwise_or", XPUKernelSet({phi::DataType::BOOL})},
+      {"bitwise_xor", XPUKernelSet({phi::DataType::BOOL})},
       {"broadcast", XPUKernelSet({phi::DataType::FLOAT32})},
       {"c_allgather",
        XPUKernelSet({phi::DataType::FLOAT16,
diff --git a/paddle/phi/kernels/xpu/bitwise.cc b/paddle/phi/kernels/xpu/bitwise.cc
new file mode 100644
index 0000000000000000000000000000000000000000..a897a37acd20cd2726a13dbf6b3f471a7c3b5531
--- /dev/null
+++ b/paddle/phi/kernels/xpu/bitwise.cc
@@ -0,0 +1,69 @@
+// Copyright (c) 2022 PaddlePaddle Authors. All Rights Reserved.
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+#include "paddle/phi/kernels/bitwise_kernel.h"
+
+#include "paddle/phi/backends/xpu/enforce_xpu.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void BitwiseAndKernel(const Context& ctx,
+                      const DenseTensor& x,
+                      const DenseTensor& y,
+                      DenseTensor* out) {
+  ctx.template Alloc<T>(out);
+  int r = xpu::logical_and(
+      ctx.x_context(), x.data<T>(), y.data<T>(), out->data<T>(), x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "bitwise and");
+}
+
+template <typename T, typename Context>
+void BitwiseOrKernel(const Context& ctx,
+                     const DenseTensor& x,
+                     const DenseTensor& y,
+                     DenseTensor* out) {
+  ctx.template Alloc<T>(out);
+  int r = xpu::logical_or(
+      ctx.x_context(), x.data<T>(), y.data<T>(), out->data<T>(), x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "bitwise or");
+}
+
+template <typename T, typename Context>
+void BitwiseXorKernel(const Context& ctx,
+                      const DenseTensor& x,
+                      const DenseTensor& y,
+                      DenseTensor* out) {
+  ctx.template Alloc<T>(out);
+  int r = xpu::logical_xor(
+      ctx.x_context(), x.data<T>(), y.data<T>(), out->data<T>(), x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "bitwise xor");
+}
+
+template <typename T, typename Context>
+void BitwiseNotKernel(const Context& ctx,
+                      const DenseTensor& x,
+                      DenseTensor* out) {
+  ctx.template Alloc<T>(out);
+  int r =
+      xpu::logical_not(ctx.x_context(), x.data<T>(), out->data<T>(), x.numel());
+  PADDLE_ENFORCE_XDNN_SUCCESS(r, "bitwise not");
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(bitwise_and, XPU, ALL_LAYOUT, phi::BitwiseAndKernel, bool) {}
+PD_REGISTER_KERNEL(bitwise_or, XPU, ALL_LAYOUT, phi::BitwiseOrKernel, bool) {}
+PD_REGISTER_KERNEL(bitwise_xor, XPU, ALL_LAYOUT, phi::BitwiseXorKernel, bool) {}
+PD_REGISTER_KERNEL(bitwise_not, XPU, ALL_LAYOUT, phi::BitwiseNotKernel, bool) {}