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diff --git a/‎paddle/phi/api/yaml/backward.yaml
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diff --git a/‎paddle/phi/api/yaml/ops.yaml
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diff --git a/‎paddle/phi/infermeta/binary.cc
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diff --git a/‎paddle/phi/infermeta/binary.h
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diff --git a/‎paddle/phi/kernels/cpu/reduce_as_grad_kernel.cc
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+58Lines changed: 58 additions & 0 deletions b/‎paddle/phi/kernels/cpu/reduce_as_grad_kernel.cc
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diff --git a/‎paddle/phi/kernels/cpu/reduce_as_kernel.cc
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diff --git a/‎paddle/phi/kernels/funcs/common_shape.h
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diff --git a/‎paddle/phi/kernels/gpu/reduce_as_grad_kernel.cu
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diff --git a/‎paddle/phi/kernels/gpu/reduce_as_kernel.cu
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diff --git a/‎paddle/phi/kernels/reduce_as_grad_kernel.h
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+31Lines changed: 31 additions & 0 deletions b/‎paddle/phi/kernels/reduce_as_grad_kernel.h
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@@ -1900,6 +1900,16 @@
     func : reciprocal_grad
   inplace : (out_grad -> x_grad)
 
+- backward_op : reduce_as_grad
+  forward : reduce_as(Tensor x, Tensor target) -> Tensor(out)
+  args : (Tensor x, Tensor target, Tensor out_grad)
+  output : Tensor(x_grad)
+  infer_meta :
+    func : UnchangedInferMeta
+    param : [x]
+  kernel :
+    func : reduce_as_grad
+
 - backward_op : relu6_grad
   forward : relu6 (Tensor x) -> Tensor(out)
   args : (Tensor out, Tensor out_grad)
 
@@ -2299,6 +2299,16 @@
   inplace : (x -> out)
   backward : reciprocal_grad
 
+- op : reduce_as
+  args : (Tensor x, Tensor target)
+  output : Tensor(out)
+  infer_meta :
+    func : ReduceAsInferMeta
+  kernel :
+    func : reduce_as
+    data_type : x
+  backward : reduce_as_grad
+
 - op : reindex_graph
   args : (Tensor x, Tensor neighbors, Tensor count, Tensor hashtable_value, Tensor hashtable_index)
   output : Tensor(reindex_src), Tensor(reindex_dst), Tensor(out_nodes)
 
@@ -3047,6 +3047,20 @@ void SequenceMaskInferMeta(const MetaTensor& x,
   y->set_dtype(out_dtype);
 }
 
+void ReduceAsInferMeta(const MetaTensor& x,
+                       const MetaTensor& target,
+                       MetaTensor* out) {
+  DataType out_dtype;
+  if (x.dtype() == DataType::BOOL || x.dtype() == DataType::INT32) {
+    out_dtype = DataType::INT64;
+  } else {
+    out_dtype = x.dtype();
+  }
+  out->set_dtype(out_dtype);
+  out->set_dims(target.dims());
+  out->set_layout(x.layout());
+}
+
 void SoftmaxMaskFuseInferMeta(const MetaTensor& x,
                               const MetaTensor& mask,
                               MetaTensor* out) {
 
@@ -524,6 +524,10 @@ void ShuffleBatchInferMeta(const MetaTensor& x,
 
 );
 
+void ReduceAsInferMeta(const MetaTensor& x,
+                       const MetaTensor& target,
+                       MetaTensor* out);
+
 void SoftmaxMaskFuseInferMeta(const MetaTensor& x,
                               const MetaTensor& mask,
                               MetaTensor* out);
 
@@ -0,0 +1,58 @@
+// Copyright (c) 2024 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
+//
+//     https://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/reduce_as_kernel.h"
+
+#include "paddle/phi/core/device_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/impl/reduce_grad.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReduceAsGradKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const DenseTensor& target,
+                        const DenseTensor& out_grad,
+                        DenseTensor* x_grad) {
+  auto reduce_dim = phi::funcs::GetReduceDims(x, target);
+  bool reduce_all = recompute_reduce_all(x, reduce_dim);
+  ReduceGradKernel<Context, T, funcs::SumGradFunctor, true>(dev_ctx,
+                                                            x,
+                                                            paddle::none,
+                                                            out_grad,
+                                                            reduce_dim,
+                                                            false,
+                                                            reduce_all,
+                                                            x_grad);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(reduce_as_grad,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::ReduceAsGradKernel,
+                   bool,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   phi::dtype::bfloat16,
+                   int16_t,
+                   int,
+                   int64_t,
+                   uint8_t,
+                   int8_t) {
+  kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
+}
@@ -0,0 +1,49 @@
+// Copyright (c) 2024 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
+//
+//     https://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/reduce_as_kernel.h"
+
+#include "paddle/phi/core/device_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/cpu/reduce.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReduceAsKernel(const Context& dev_ctx,
+                    const DenseTensor& x,
+                    const DenseTensor& target,
+                    DenseTensor* out) {
+  auto reduce_dim = phi::funcs::GetReduceDims(x, target);
+  bool reduce_all = recompute_reduce_all(x, reduce_dim);
+  phi::Reduce<CPUContext, T, phi::funcs::SumFunctor>(
+      dev_ctx, x, reduce_all, reduce_dim, false, out->type(), out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(reduce_as,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::ReduceAsKernel,
+                   bool,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   phi::dtype::bfloat16,
+                   int16_t,
+                   int,
+                   int64_t,
+                   uint8_t,
+                   int8_t) {}
@@ -295,5 +295,37 @@ inline void FCOutputSize(const DDim &in_dims,
   out_dims.push_back(w_dims1);
 }
 
+inline std::vector<int64_t> GetReduceDims(const DenseTensor &in,
+                                          const DenseTensor &out) {
+  std::vector<int64_t> reduce_dims;
+  auto in_dims = in.dims();
+  auto out_dims = out.dims();
+  int diff = in_dims.size() - out_dims.size();
+  for (int i = 0; i < diff; ++i) {
+    reduce_dims.push_back(i);
+  }
+  for (int i = 0; i < out_dims.size(); ++i) {
+    if (out_dims[i] == 1 && in_dims[i + diff] != 1) {
+      reduce_dims.push_back(i + diff);
+    } else {
+      PADDLE_ENFORCE_EQ(
+          in_dims[i + diff],
+          out_dims[i],
+          phi::errors::InvalidArgument(
+              "ReduceDims dimension mismatch. Operands could "
+              "not be broadcast together with the shape of in_dims = [%s] and "
+              "the shape of out_dims = [%s]. Received [%d] in X is not equal "
+              "to "
+              "[%d] in Y at i:%d.",
+              in_dims,
+              out_dims,
+              in_dims[i + diff],
+              out_dims[i],
+              i));
+    }
+  }
+  return reduce_dims;
+}
+
 }  // namespace funcs
 }  // namespace phi
@@ -0,0 +1,68 @@
+// Copyright (c) 2024 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
+//
+//     https://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/reduce_as_grad_kernel.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/funcs/reduce_function.h"
+#include "paddle/phi/kernels/gpu/reduce_grad.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReduceAsGradKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const DenseTensor& target,
+                        const DenseTensor& out_grad,
+                        DenseTensor* x_grad) {
+  auto reduce_dim = phi::funcs::GetReduceDims(x, target);
+  bool reduce_all = recompute_reduce_all(x, reduce_dim);
+  auto update_dims = common::vectorize(x.dims());
+  for (auto i : reduce_dim) {
+    update_dims[i] = 1;
+  }
+
+  DenseTensor new_out_grad(out_grad.type());
+  new_out_grad.ShareDataWith(out_grad);
+  new_out_grad.Resize(common::make_ddim(update_dims));
+
+  dev_ctx.Alloc(x_grad, x.dtype());
+  using MPType = typename phi::dtype::MPTypeTrait<T>::Type;
+  phi::ReduceGrad<phi::kps::IdentityFunctor<T, MPType>>(
+      dev_ctx,
+      &new_out_grad,
+      x_grad,
+      out_grad.dtype(),
+      phi::kps::IdentityFunctor<T, MPType>());
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(reduce_as_grad,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ReduceAsGradKernel,
+                   bool,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   phi::dtype::bfloat16,
+                   int16_t,
+                   int,
+                   int64_t,
+                   uint8_t,
+                   int8_t) {
+  kernel->OutputAt(0).SetDataType(phi::DataType::UNDEFINED);
+}
@@ -0,0 +1,48 @@
+// Copyright (c) 2024 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
+//
+//     https://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/reduce_as_kernel.h"
+
+#include "paddle/phi/backends/gpu/gpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/reduce_sum_kernel.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReduceAsKernel(const Context& dev_ctx,
+                    const DenseTensor& x,
+                    const DenseTensor& target,
+                    DenseTensor* out) {
+  auto reduce_dim = phi::funcs::GetReduceDims(x, target);
+  dev_ctx.template Alloc<T>(out);
+  phi::SumKernel<T, Context>(dev_ctx, x, reduce_dim, out->type(), false, out);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(reduce_as,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::ReduceAsKernel,
+                   bool,
+                   float,
+                   double,
+                   phi::dtype::float16,
+                   phi::dtype::bfloat16,
+                   int16_t,
+                   int,
+                   int64_t,
+                   uint8_t,
+                   int8_t) {}
@@ -0,0 +1,31 @@
+// Copyright (c) 2024 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
+//
+//     https://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.
+
+#pragma once
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/device_context.h"
+#include "paddle/phi/kernels/funcs/common_shape.h"
+#include "paddle/phi/kernels/funcs/reduce_functor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void ReduceAsGradKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const DenseTensor& target,
+                        const DenseTensor& out_grad,
+                        DenseTensor* x_grad);
+
+}  // namespace phi