[CustomDevice] add comm context support (#56301)

paddle/fluid/distributed/collective/custom_ccl_tools.cc

@@ -18,7 +18,7 @@
 namespace paddle {
 namespace distributed {
 
-phi::ccl::CCLReduceOp ToCustomCCLRedType(ReduceOp reduction) {
+phi::ccl::CCLReduceOp ToXCCLRedType(ReduceOp reduction) {
   static const std::map<ReduceOp, phi::ccl::CCLReduceOp> red_type = {
       {ReduceOp::MIN, phi::ccl::CCLReduceOp::MIN},
       {ReduceOp::MAX, phi::ccl::CCLReduceOp::MAX},
@@ -34,14 +34,5 @@ phi::ccl::CCLReduceOp ToCustomCCLRedType(ReduceOp reduction) {
   return it->second;
 }
 
-std::string SerializeCustomCCLUniqueId(const phi::ccl::CCLRootId& ccl_id) {
-  const uint8_t* bytes = ccl_id.data();
-  std::ostringstream oss;
-  for (size_t i = 0; i < ccl_id.size(); ++i) {
-    oss << std::hex << static_cast<int>(bytes[i]);
-  }
-  return oss.str();
-}
-
 }  //  namespace distributed
 }  //  namespace paddle

paddle/fluid/distributed/collective/custom_ccl_tools.h

@@ -34,170 +34,7 @@
 namespace paddle {
 namespace distributed {
 
-class CustomEventManager {
- public:
-  CustomEventManager() = default;
-
-  ~CustomEventManager() {
-    if (is_created_) {
-      event_->Destroy();
-    }
-  }
-
-  CustomEventManager(const CustomEventManager&) = delete;
-  CustomEventManager& operator=(const CustomEventManager&) = delete;
-
-  CustomEventManager(CustomEventManager&& other) {
-    std::swap(is_created_, other.is_created_);
-    std::swap(device_index_, other.device_index_);
-    std::swap(device_type_, other.device_type_);
-    std::swap(event_, other.event_);
-  }
-
-  CustomEventManager& operator=(CustomEventManager&& other) {
-    std::swap(is_created_, other.is_created_);
-    std::swap(device_index_, other.device_index_);
-    std::swap(device_type_, other.device_type_);
-    std::swap(event_, other.event_);
-    return *this;
-  }
-
-  bool IsCreated() const { return is_created_; }
-  int8_t DeviceId() const { return device_index_; }
-  std::string DeviceType() const { return device_type_; }
-  phi::event::event_t GetRawCustomEvent() const { return event_->raw_event(); }
-  phi::event::Event* GetCustomEvent() const { return event_.get(); }
-
-  void Record(const paddle::platform::CustomDeviceContext& ctx) {
-    auto place = ctx.GetPlace();
-    auto device_type = place.GetDeviceType();
-    auto device_index = place.GetDeviceId();
-    if (!is_created_) {
-      CreateEvent(place);
-    }
-    PADDLE_ENFORCE_EQ(device_index,
-                      device_index_,
-                      platform::errors::PreconditionNotMet(
-                          "CustomDeviceContext's device %d does not match"
-                          "Event's device %d",
-                          device_index,
-                          device_index_));
-    PADDLE_ENFORCE_EQ(device_type,
-                      device_type_,
-                      platform::errors::PreconditionNotMet(
-                          "CustomDeviceContext's device %d does not match"
-                          "Event's device type %d",
-                          device_type,
-                          device_type_));
-
-    phi::DeviceGuard guard(place);
-    phi::stream::Stream stream(place, ctx.stream());
-    event_->Record(&stream);
-  }
-
-  bool Query() const { return event_->Query(); }
-
-  void Block(const paddle::platform::CustomDeviceContext& ctx) const {
-    if (is_created_) {
-      auto place = ctx.GetPlace();
-      auto device_type = place.GetDeviceType();
-      auto device_index = place.GetDeviceId();
-      PADDLE_ENFORCE_EQ(device_index,
-                        device_index_,
-                        platform::errors::PreconditionNotMet(
-                            "CustomDeviceContext's device %d does not match"
-                            "Event's device %d",
-                            device_index,
-                            device_index_));
-      PADDLE_ENFORCE_EQ(device_type,
-                        device_type_,
-                        platform::errors::PreconditionNotMet(
-                            "CustomDeviceContext's device %d does not match"
-                            "Event's device type %d",
-                            device_type,
-                            device_type_));
-      phi::DeviceGuard guard(place);
-      phi::stream::Stream stream(place, ctx.stream());
-      stream.WaitEvent(event_.get());
-    }
-  }
-
- private:
-  bool is_created_{false};
-  std::shared_ptr<phi::event::Event> event_{nullptr};
-  int8_t device_index_{0};
-  std::string device_type_;
-
- private:
-  void CreateEvent(const platform::Place& place) {
-    device_index_ = place.GetDeviceId();
-    device_type_ = place.GetDeviceType();
-    event_.reset(new phi::event::Event);
-    event_->Init(place);
-    is_created_ = true;
-  }
-};
-
-class CustomCCLCommManager {
- public:
-  CustomCCLCommManager(const std::string& device_type,
-                       phi::ccl::CCLComm ccl_comm)
-      : device_type_(device_type), ccl_comm_(ccl_comm) {}
-
-  CustomCCLCommManager() : CustomCCLCommManager("", nullptr) {}
-
-  ~CustomCCLCommManager() noexcept {
-    std::unique_lock<std::mutex> lock(mutex_);
-    if (phi::DeviceManager::HasDeviceType(device_type_) && ccl_comm_) {
-      phi::DeviceManager::CCLDestroyComm(device_type_, ccl_comm_);
-    }
-  }
-
-  static std::shared_ptr<CustomCCLCommManager> Create(
-      const std::string& device_type,
-      int num_ranks,
-      int rank,
-      phi::ccl::CCLRootId* comm_id,
-      phi::ccl::CCLComm* ccl_comm) {
-    auto custom_ccl_manager = std::make_shared<CustomCCLCommManager>();
-    phi::DeviceManager::CCLCommInitRank(
-        device_type, num_ranks, comm_id, rank, ccl_comm);
-    custom_ccl_manager->device_type_ = device_type;
-    custom_ccl_manager->ccl_id_ = comm_id;
-    custom_ccl_manager->rank_ = rank;
-    custom_ccl_manager->ccl_comm_ = *ccl_comm;
-    return custom_ccl_manager;
-  }
-
-  phi::ccl::CCLRootId* GetCustomCCLId() const {
-    std::unique_lock<std::mutex> lock(mutex_);
-    return ccl_id_;
-  }
-
-  phi::ccl::CCLComm GetCustomCCLComm() const {
-    std::unique_lock<std::mutex> lock(mutex_);
-    return ccl_comm_;
-  }
-
-  CustomCCLCommManager(const CustomCCLCommManager&) = delete;
-  CustomCCLCommManager& operator=(const CustomCCLCommManager&) = delete;
-  CustomCCLCommManager& operator=(CustomCCLCommManager&& other) = delete;
-
-  CustomCCLCommManager(CustomCCLCommManager&& other) {
-    std::unique_lock<std::mutex> lock(other.mutex_);
-    std::swap(ccl_comm_, other.ccl_comm_);
-  }
-
- protected:
-  std::string device_type_;
-  phi::ccl::CCLComm ccl_comm_;
-  phi::ccl::CCLRootId* ccl_id_;
-  int rank_;
-  mutable std::mutex mutex_;
-};
-
-phi::ccl::CCLReduceOp ToCustomCCLRedType(ReduceOp reduction);
-std::string SerializeCustomCCLUniqueId(const phi::ccl::CCLRootId& ccl_id);
+phi::ccl::CCLReduceOp ToXCCLRedType(ReduceOp reduction);
 
 }  // namespace distributed
 }  // namespace paddle

paddle/fluid/distributed/collective/process_group_custom.h

@@ -15,62 +15,57 @@
 #pragma once
 
 #include <chrono>
-#include <map>
 #include <memory>
 #include <string>
 #include <unordered_map>
 #include <vector>
 
-#include "paddle/fluid/distributed/collective/custom_ccl_tools.h"
 #include "paddle/fluid/distributed/collective/process_group.h"
 #include "paddle/fluid/distributed/collective/process_group_with_stream.h"
-#include "paddle/fluid/platform/device_context.h"
-#include "paddle/fluid/platform/enforce.h"
-#include "paddle/fluid/platform/gen_comm_id_helper.h"
-#include "paddle/fluid/platform/place.h"
+#include "paddle/phi/backends/device_manager.h"
+#include "paddle/phi/common/place.h"
+#include "paddle/phi/core/device_context.h"
 #include "paddle/phi/core/distributed/store/store.h"
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
 
 namespace paddle {
 namespace distributed {
-using Place = paddle::platform::Place;
-using CustomDeviceContext = paddle::platform::CustomDeviceContext;
 
-class ProcessGroupCustom : public ProcessGroupWithStream {
+using Place = phi::Place;
+
+class ProcessGroupCustom final : public ProcessGroupWithStream {
  public:
-  class CustomTask : public ProcessGroup::Task,
-                     public std::enable_shared_from_this<CustomTask> {
+  class XCCLTask final : public ProcessGroupWithStream::TaskStream,
+                         public std::enable_shared_from_this<XCCLTask> {
    public:
-    CustomTask(const std::vector<Place>& places,
-               int rank,
-               CommType CommType,
-               const std::vector<phi::DenseTensor>& inputs);
+    XCCLTask(const Place& place,
+             int rank,
+             CommType comm_type,
+             bool sync_op,
+             bool use_calc_stream);
+    virtual ~XCCLTask();
 
     bool IsCompleted() override;
-    void SynchronizeStreams();
     bool Wait(std::chrono::milliseconds timeout = kWaitTimeout) override;
     void Synchronize() override;
     void UpdateWaitChain(const phi::DeviceContext& ctx) override;
-    void SetOutputs(std::vector<phi::DenseTensor>& outputs);  // NOLINT
-    virtual ~CustomTask();
 
-    std::vector<CustomEventManager> control_events_;
-    std::vector<phi::DenseTensor> barrierTensors_;
+    bool IsBlockCPUInWait() const { return block_cpu_in_wait_; }
+    void SetBlockCPUInWait() { block_cpu_in_wait_ = true; }
 
-   protected:
-    std::vector<Place> places_;
-    std::vector<std::shared_ptr<CustomCCLCommManager>> cclComms_;
-    std::shared_ptr<std::vector<phi::DenseTensor>> outputs_;
+    // TODO(sunyilun): methods below will be removed later
+    XCCLTask(const std::vector<Place>& places,
+             int rank,
+             CommType CommType,
+             const std::vector<phi::DenseTensor>& inputs);
 
    private:
-    const std::string device_type_;
+    bool block_cpu_in_wait_{false};
+    phi::event::Event comm_event_;  // event on comm stream
+    Place task_place_;
   };
 
-  ProcessGroupCustom(const std::shared_ptr<phi::distributed::Store>& store,
-                     const std::string& device_type,
-                     int rank,
-                     int size,
-                     int gid);
-
+ public:
   static std::shared_ptr<ProcessGroupCustom> CreateProcessGroupCustom(
       const std::shared_ptr<phi::distributed::Store>& store,
       const std::string& device_type,
@@ -78,19 +73,18 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
       int size,
       int gid);
 
-  std::string GetBackendName() const override { return "XCCL_" + device_type_; }
+  ProcessGroupCustom(const std::shared_ptr<phi::distributed::Store>& store,
+                     const std::string& device_type,
+                     int rank,
+                     int size,
+                     int gid);
 
-  std::shared_ptr<ProcessGroup::Task> Barrier(
-      const BarrierOptions& = BarrierOptions()) override;
+  std::string GetBackendName() const override { return "XCCL"; }
 
   phi::DeviceContext* GetDeviceContext(const Place& place) const override;
 
-  phi::ccl::CCLComm CustomCCLComm(const Place& place) const;
-
-  // TODO(sunyilun): methods below will be removed later
-  std::shared_ptr<ProcessGroup::Task> AllGather(
-      std::vector<phi::DenseTensor>& in_tensors,
-      std::vector<phi::DenseTensor>& out_tensors) override;
+  phi::DeviceContext* GetDeviceContext(const Place& place,
+                                       bool use_calc_stream) const override;
 
   std::shared_ptr<ProcessGroup::Task> AllGather(
       phi::DenseTensor* out_tensor,
@@ -100,11 +94,6 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
       bool sync_op,
       bool use_calc_stream) override;
 
-  std::shared_ptr<ProcessGroup::Task> AllReduce(
-      std::vector<phi::DenseTensor>& in_tensors,
-      std::vector<phi::DenseTensor>& out_tensors,
-      const AllreduceOptions& = AllreduceOptions()) override;
-
   std::shared_ptr<ProcessGroup::Task> AllReduce(
       phi::DenseTensor* out_tensor,
       const phi::DenseTensor& in_tensor,
@@ -112,10 +101,16 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
       bool sync_op,
       bool use_calc_stream) override;
 
-  std::shared_ptr<ProcessGroup::Task> Broadcast(
-      std::vector<phi::DenseTensor>& in_tensors,
-      std::vector<phi::DenseTensor>& out_tensors,
-      const BroadcastOptions& = BroadcastOptions()) override;
+  std::shared_ptr<ProcessGroup::Task> AllToAll(
+      phi::DenseTensor* out_tensor,
+      const phi::DenseTensor& in_tensor,
+      const std::vector<int64_t>& out_size_each_rank,
+      const std::vector<int64_t>& in_size_each_rank,
+      bool sync_op,
+      bool use_calc_stream) override;
+
+  std::shared_ptr<ProcessGroup::Task> Barrier(
+      const BarrierOptions& = BarrierOptions()) override;
 
   std::shared_ptr<ProcessGroup::Task> Broadcast(
       phi::DenseTensor* out_tensor,
@@ -124,49 +119,12 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
       bool sync_op,
       bool use_calc_stream) override;
 
-  std::shared_ptr<ProcessGroup::Task> Send(const phi::DenseTensor& tensor,
-                                           int dst_rank,
-                                           int64_t offset,
-                                           int64_t numel,
-                                           bool sync_op,
-                                           bool use_calc_stream) override;
-
-  std::shared_ptr<ProcessGroup::Task> Send(
-      std::vector<phi::DenseTensor>& tensors, int dst_rank) override;
-
-  std::shared_ptr<ProcessGroup::Task> Recv(phi::DenseTensor* tensor,
-                                           int src_rank,
-                                           int64_t offset,
-                                           int64_t numel,
-                                           bool sync_op,
-                                           bool use_calc_stream) override;
-
-  std::shared_ptr<ProcessGroup::Task> Recv(
-      std::vector<phi::DenseTensor>& tensors, int src_rank) override;
-
   std::shared_ptr<ProcessGroup::Task> Reduce(phi::DenseTensor* out_tensor,
                                              const phi::DenseTensor& in_tensor,
                                              const ReduceOptions& opts,
                                              bool sync_op,
                                              bool use_calc_stream) override;
 
-  std::shared_ptr<ProcessGroup::Task> Reduce(
-      std::vector<phi::DenseTensor>& tensors,
-      std::vector<phi::DenseTensor>& out_tensors,
-      const ReduceOptions& opts) override;
-
-  std::shared_ptr<ProcessGroup::Task> AllToAll(
-      phi::DenseTensor* out_tensor,
-      const phi::DenseTensor& in_tensor,
-      const std::vector<int64_t>& out_size_each_rank,
-      const std::vector<int64_t>& in_size_each_rank,
-      bool sync_op,
-      bool use_calc_stream) override;
-
-  std::shared_ptr<ProcessGroup::Task> AllToAll(
-      std::vector<phi::DenseTensor>& in_tensors,
-      std::vector<phi::DenseTensor>& out_tensors) override;
-
   std::shared_ptr<ProcessGroup::Task> ReduceScatter(
       phi::DenseTensor* out_tensor,
       const phi::DenseTensor& in_tensor,
@@ -180,11 +138,6 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
                                               bool sync_op,
                                               bool use_calc_stream) override;
 
-  std::shared_ptr<ProcessGroup::Task> Scatter(
-      std::vector<phi::DenseTensor>& in_tensors,
-      std::vector<phi::DenseTensor>& out_tensors,
-      const ScatterOptions& opts) override;
-
   std::shared_ptr<ProcessGroup::Task> Gather(phi::DenseTensor* out_tensor,
                                              const phi::DenseTensor& in_tensor,
                                              const GatherOptions& opts,
@@ -198,52 +151,124 @@ class ProcessGroupCustom : public ProcessGroupWithStream {
       bool sync_op,
       bool use_calc_stream) override;
 
- protected:
-  virtual std::shared_ptr<ProcessGroupCustom::CustomTask> CreateTask(
-      std::vector<Place> places,
-      int rank,
-      CommType opType,
-      const std::vector<phi::DenseTensor>& inputs);
+  std::shared_ptr<ProcessGroup::Task> Recv(phi::DenseTensor* tensor,
+                                           int src_rank,
+                                           int64_t offset,
+                                           int64_t numel,
+                                           bool sync_op,
+                                           bool use_calc_stream) override;
 
-  std::shared_ptr<phi::distributed::Store> store_;
-  std::shared_ptr<CustomCCLCommManager> custom_comm_;
-  std::mutex mutex_;
-  std::unordered_map<std::string,
-                     std::vector<std::shared_ptr<CustomCCLCommManager>>>
-      places_to_customcomm_;
-  std::unordered_map<std::string, std::vector<CustomEventManager>>
-      places_to_events_;
-  std::unordered_map<std::string,
-                     std::vector<std::unique_ptr<CustomDeviceContext>>>
-      places_to_ctx_;
-  std::set<int> used_place_ids_;
+  std::shared_ptr<ProcessGroup::Task> Send(const phi::DenseTensor& tensor,
+                                           int dst_rank,
+                                           int64_t offset,
+                                           int64_t numel,
+                                           bool sync_op,
+                                           bool use_calc_stream) override;
+
+  static void GroupStart(const std::string& dev_type);
+
+  static void GroupEnd(const std::string& dev_type);
+
+  phi::ccl::CCLComm XCCLComm(const Place& place) const;
+
+  // TODO(liyurui): This API will be moved later
+  std::shared_ptr<ProcessGroup::Task> AllReduce(
+      std::vector<phi::DenseTensor>& in_tensors,
+      std::vector<phi::DenseTensor>& out_tensors,
+      const AllreduceOptions& = AllreduceOptions()) override;
+
+  // TODO(sunyilun): methods below will be removed later
+  std::shared_ptr<ProcessGroup::Task> Broadcast(
+      std::vector<phi::DenseTensor>& in_tensors,
+      std::vector<phi::DenseTensor>& out_tensors,
+      const BroadcastOptions& = BroadcastOptions()) override;
+
+  std::shared_ptr<ProcessGroup::Task> Send(
+      std::vector<phi::DenseTensor>& tensors, int dst_rank) override;
+
+  std::shared_ptr<ProcessGroup::Task> Recv(
+      std::vector<phi::DenseTensor>& tensors, int src_rank) override;
+
+  std::shared_ptr<ProcessGroup::Task> AllGather(
+      std::vector<phi::DenseTensor>& in_tensors,
+      std::vector<phi::DenseTensor>& out_tensors) override;
+
+  std::shared_ptr<ProcessGroup::Task> AllToAll(
+      std::vector<phi::DenseTensor>& in_tensors,
+      std::vector<phi::DenseTensor>& out_tensors) override;
+
+  std::shared_ptr<ProcessGroup::Task> Reduce(
+      std::vector<phi::DenseTensor>& tensors,
+      std::vector<phi::DenseTensor>& out_tensors,
+      const ReduceOptions& opts) override;
+
+  std::shared_ptr<ProcessGroup::Task> Scatter(
+      std::vector<phi::DenseTensor>& in_tensors,
+      std::vector<phi::DenseTensor>& out_tensors,
+      const ScatterOptions& opts) override;
 
  private:
-  void BcastCustomId(std::vector<phi::ccl::CCLRootId>& ccl_ids,  // NOLINT
-                     int root,
-                     int server_fd);
+  std::shared_ptr<ProcessGroupCustom::XCCLTask> CreateTask(
+      const Place& place,
+      int rank,
+      CommType op_type,
+      bool sync_op,
+      bool use_calc_stream);
 
-  void BroadcastUniqueCustomID(
-      std::vector<phi::ccl::CCLRootId>& custom_ccl_ids);  // NOLINT
+  void BroadcastUniqueXCCLID(phi::ccl::CCLRootId* nccl_id);
+
+  void CreateXCCLEnvCache(const Place& place, const std::string& place_key);
+
+  void SyncCalcStream(const Place& place);
+
+  std::shared_ptr<ProcessGroup::Task> RunFnInXCCLEnv(
+      std::function<void(const phi::stream::Stream&)> fn,
+      const phi::DenseTensor& tensor,
+      CommType comm_type,
+      bool sync_op,
+      bool use_calc_stream);
+
+  // TODO(sunyilun): methods below will be removed later
+  std::shared_ptr<ProcessGroupCustom::XCCLTask> CreateTask(
+      std::vector<Place> places,
+      int rank,
+      CommType op_type,
+      const std::vector<phi::DenseTensor>& inputs);
 
   template <typename Fn>
   std::shared_ptr<ProcessGroup::Task> Collective(
       std::vector<phi::DenseTensor>& inputs,   // NOLINT
       std::vector<phi::DenseTensor>& outputs,  // NOLINT
       Fn fn,
-      CommType op_type,
-      bool sync_op,
-      bool use_calc_stream);
+      CommType op_type);
 
   template <typename Fn>
-  std::shared_ptr<ProcessGroup::Task> Collective(Fn fn,
-                                                 CommType op_type,
-                                                 bool sync_op,
-                                                 bool use_calc_stream);
-
-  void CreateCustomManagerCache(const std::string& places_key,
-                                const std::vector<Place>& places);
-  const std::string device_type_;
+  std::shared_ptr<ProcessGroup::Task> PointToPoint(
+      std::vector<phi::DenseTensor>& tensors,  // NOLINT
+      Fn fn,
+      int dst_rank,
+      CommType op_type);
+
+  void CreateXCCLManagerCache(const std::string& places_key,
+                              const std::vector<Place>& places);
+
+  phi::distributed::XCCLCommContext* GetCommContext();
+
+ private:
+  std::shared_ptr<phi::distributed::Store> store_;
+  std::string device_type_;
+
+  std::unordered_map<std::string, std::unique_ptr<phi::event::Event>>
+      place_to_calc_event_;  // event on calc stream
+  std::unordered_map<std::string, phi::CustomContext*> place_to_calc_ctx_;
+  std::unordered_map<std::string, std::unique_ptr<phi::CustomContext>>
+      place_to_comm_ctx_;
+
+  // TODO(sunyilun): attrs below will be removed later
+  std::mutex mutex_;
+  std::unordered_map<std::string, std::vector<phi::CustomContext*>>
+      places_to_ctx_;
 };
+
 }  //  namespace distributed
 }  //  namespace paddle

paddle/fluid/distributed/collective/processgroup_comm_utils.cc

@@ -53,8 +53,8 @@ ccl::CCLComm GetCCLComm(const Place& place, int global_gid) {
 #endif
   } else if (place.GetType() == phi::AllocationType::CUSTOM) {
 #if defined(PADDLE_WITH_CUSTOM_DEVICE)
-    return static_cast<paddle::distributed::ProcessGroupCustom*>(pg)
-        ->CustomCCLComm(place);
+    return static_cast<paddle::distributed::ProcessGroupCustom*>(pg)->XCCLComm(
+        place);
 #else
     return nullptr;
 #endif

paddle/fluid/memory/allocation/allocator_facade.cc

@@ -1574,6 +1574,7 @@ void AllocatorFacade::SetDefaultStream(const platform::CustomPlace& place,
     m_->SetDefaultStream(place, stream);
   }
 }
+
 #endif
 
 UNUSED static std::shared_ptr<NaiveBestFitAllocator> unused_obj =

paddle/fluid/memory/allocation/allocator_facade.h

@@ -101,6 +101,7 @@ class AllocatorFacade {
                                                  phi::stream::stream_t stream);
   void RecordStream(std::shared_ptr<phi::Allocation> allocation,
                     phi::stream::stream_t stream);
+
   void SetDefaultStream(const platform::CustomPlace& place,
                         phi::stream::stream_t stream);
 #endif

paddle/fluid/memory/malloc.cc

@@ -71,6 +71,14 @@ gpuStream_t GetStream(const std::shared_ptr<Allocation>& allocation) {
   return allocation::AllocatorFacade::Instance().GetStream(allocation);
 }
 
+#endif
+
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+void RecordStream(std::shared_ptr<Allocation> allocation,
+                  phi::stream::stream_t stream) {
+  return allocation::AllocatorFacade::Instance().RecordStream(allocation,
+                                                              stream);
+}
 #endif
 }  // namespace memory
 }  // namespace paddle

paddle/fluid/memory/malloc.h

@@ -18,6 +18,7 @@ limitations under the License. */
 
 #include "paddle/fluid/memory/allocation/allocator.h"
 #include "paddle/fluid/platform/place.h"
+#include "paddle/phi/backends/device_manager.h"
 #include "paddle/phi/core/device_context.h"
 #include "paddle/phi/core/stream.h"
 
@@ -55,5 +56,9 @@ void RecordStream(std::shared_ptr<Allocation> allocation, gpuStream_t stream);
 
 gpuStream_t GetStream(const std::shared_ptr<Allocation>& allocation);
 #endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+void RecordStream(std::shared_ptr<Allocation> allocation,
+                  phi::stream::stream_t stream);
+#endif
 }  // namespace memory
 }  // namespace paddle

paddle/fluid/pybind/communication.cc

@@ -56,6 +56,12 @@ void BindCommContextManager(py::module *m) {
               "create_gloo_comm_context",
               &phi::distributed::CommContextManager::CreateGlooCommContext,
               py::call_guard<py::gil_scoped_release>())
+#endif
+#if defined(PADDLE_WITH_CUSTOM_DEVICE)
+          .def_static(
+              "create_xccl_comm_context",
+              &phi::distributed::CommContextManager::CreateXCCLCommContext,
+              py::call_guard<py::gil_scoped_release>())
 #endif
           .def("set_store", &phi::distributed::CommContextManager::SetStore);
 }

paddle/phi/backends/c_comm_lib.h

@@ -21,6 +21,8 @@
 #include "paddle/phi/core/errors.h"
 #include "paddle/phi/core/macros.h"
 
+#include "paddle/phi/common/reduce_type.h"
+
 namespace phi {
 namespace ccl {
 typedef void* CCLComm;
@@ -38,6 +40,32 @@ enum CCLDataType {
   CCL_DATA_TYPE_UINT8
 };
 
+inline CCLReduceOp ToXCCLReduceOp(int reduce_type) {
+  phi::ccl::CCLReduceOp red_type = phi::ccl::CCLReduceOp::SUM;
+  switch (static_cast<phi::ReduceType>(reduce_type)) {
+    case phi::ReduceType::kRedSum:
+      red_type = phi::ccl::CCLReduceOp::SUM;
+      break;
+    case phi::ReduceType::kRedMax:
+      red_type = phi::ccl::CCLReduceOp::MAX;
+      break;
+    case phi::ReduceType::kRedMin:
+      red_type = phi::ccl::CCLReduceOp::MIN;
+      break;
+    case phi::ReduceType::kRedProd:
+      red_type = phi::ccl::CCLReduceOp::PRODUCT;
+      break;
+    case phi::ReduceType::kRedAvg:
+      red_type = phi::ccl::CCLReduceOp::AVG;
+      break;
+    default:
+      PADDLE_THROW(
+          errors::Unavailable("Unsuppored reduce type. Reduce type must be one "
+                              "of SUM, MAX, MIN, PRODUCT and AVG."));
+  }
+  return red_type;
+}
+
 inline CCLDataType ToCCLDataType(phi::DataType type) {
   if (type == phi::DataType::FLOAT64) {
     return CCL_DATA_TYPE_FP64;
@@ -79,5 +107,14 @@ inline phi::DataType ToPhiDataType(CCLDataType type) {
   }
 }
 
+inline std::string SerializeXCCLUniqueId(const phi::ccl::CCLRootId& ccl_id) {
+  const uint8_t* bytes = ccl_id.data();
+  std::ostringstream oss;
+  for (size_t i = 0; i < ccl_id.size(); ++i) {
+    oss << std::hex << static_cast<int>(bytes[i]);
+  }
+  return oss.str();
+}
+
 }  // namespace ccl
 }  // namespace phi

paddle/phi/backends/custom/custom_device.cc

@@ -754,13 +754,15 @@ class CustomDevice : public DeviceInterface {
   }
 
   void CCLGroupStart() override {
-    CHECK_PTR(pimpl_->xccl_group_start);
-    PADDLE_ENFORCE_CUSTOM_DEVICE_SUCCESS(pimpl_->xccl_group_start());
+    if (pimpl_->xccl_group_start) {
+      PADDLE_ENFORCE_CUSTOM_DEVICE_SUCCESS(pimpl_->xccl_group_start());
+    }
   }
 
   void CCLGroupEnd() override {
-    CHECK_PTR(pimpl_->xccl_group_end);
-    PADDLE_ENFORCE_CUSTOM_DEVICE_SUCCESS(pimpl_->xccl_group_end());
+    if (pimpl_->xccl_group_end) {
+      PADDLE_ENFORCE_CUSTOM_DEVICE_SUCCESS(pimpl_->xccl_group_end());
+    }
   }
 
   void CCLSend(void* send_buf,

paddle/phi/core/distributed/CMakeLists.txt

@@ -12,4 +12,8 @@ if(WITH_GLOO)
   list(APPEND DISTRIBUTED_COMMON_SRCS gloo_utils.cc gloo_comm_context.cc)
 endif()
 
+if(WITH_CUSTOM_DEVICE)
+  list(APPEND DISTRIBUTED_COMMON_SRCS xccl_comm_context.cc)
+endif()
+
 collect_srcs(core_srcs SRCS ${DISTRIBUTED_COMMON_SRCS})

paddle/phi/core/distributed/auto_parallel/reshard_all_gather_functor.cc

@@ -53,6 +53,18 @@ DenseTensor ReshardAllGatherFunctor(DeviceContext* dev_ctx,
         }));
     return out;
   }
+#endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+  if (phi::CustomContext::classof(dev_ctx)) {
+    PD_VISIT_FLOATING_AND_INTEGRAL_TYPES(
+        input.dtype(), "AllGather", ([&] {
+          AllGather<data_t>(static_cast<const CustomContext&>(*dev_ctx),
+                            input,
+                            world_size,
+                            &out);
+        }));
+    return out;
+  }
 #endif
   PADDLE_THROW(phi::errors::Unimplemented(
       "The all_gather in reshard only supported on CPU and GPU for now."));

paddle/phi/core/distributed/auto_parallel/reshard_utils.cc

@@ -170,6 +170,15 @@ CommContext* CreateOrGetCommContext(const DeviceContext& dev_ctx,
 #else
       PADDLE_THROW(phi::errors::Unimplemented(
           "Cannot use gloo on CPU, please turn PADDLE_WITH_GLOO flag on."));
+#endif
+    } else if (phi::CustomContext::classof(&dev_ctx)) {
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+      CommContextManager::CreateXCCLCommContext(
+          store,
+          unique_comm_key,
+          dev_ctx.GetPlace().GetDeviceType(),
+          rank,
+          world_size);
 #endif
     } else {
 #if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)

paddle/phi/core/distributed/comm_context.h

@@ -24,8 +24,8 @@ class CommContext {
   CommContext(int rank, int size) : rank_(rank), size_(size) {}
   virtual ~CommContext() = default;
 
-  int GetRank() { return rank_; }
-  int GetSize() { return size_; }
+  int GetRank() const { return rank_; }
+  int GetSize() const { return size_; }
 
  protected:
   int rank_;

paddle/phi/core/distributed/comm_context_manager.cc

@@ -32,6 +32,9 @@
 #if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
 #include "paddle/phi/core/distributed/nccl_comm_context.h"
 #endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
 
 namespace phi {
 namespace distributed {
@@ -91,6 +94,35 @@ void CommContextManager::CreateGlooCommContext(
 }
 #endif
 
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+void CommContextManager::CreateXCCLCommContext(
+    const std::shared_ptr<Store>& store,
+    const std::string& unique_comm_key,
+    const std::string& device_type,
+    int rank,
+    int size) {
+  phi::ccl::CCLRootId xccl_root_id;
+  if (rank == 0) {
+    phi::DeviceManager::CCLGetUniqueId(device_type, &xccl_root_id);
+  }
+
+  std::string unique_key = "XCCLCommContext/" + unique_comm_key;
+  if (rank == 0) {
+    store->set(unique_key, xccl_root_id);
+  } else {
+    xccl_root_id = store->get(unique_key);
+  }
+  VLOG(3) << "init xccl rank: " << rank << ", nranks: " << size
+          << ", unique_comm_key: " << unique_comm_key << ", xccl uniqueid: "
+          << phi::ccl::SerializeXCCLUniqueId(xccl_root_id);
+  auto xccl_comm_context =
+      std::make_unique<XCCLCommContext>(device_type, rank, size, xccl_root_id);
+  auto& comm_context_manager = CommContextManager::GetInstance();
+  comm_context_manager.SetStore(store);
+  comm_context_manager.Emplace(unique_comm_key, std::move(xccl_comm_context));
+}
+#endif
+
 CommContext* CommContextManager::Emplace(
     const std::string& unique_comm_key,
     std::unique_ptr<CommContext> comm_context) {

paddle/phi/core/distributed/comm_context_manager.h

@@ -62,6 +62,14 @@ class CommContextManager {
                                     int size);
 #endif
 
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+  static void CreateXCCLCommContext(const std::shared_ptr<Store>& store,
+                                    const std::string& unique_comm_key,
+                                    const std::string& device_type,
+                                    int rank,
+                                    int size);
+#endif
+
  private:
   DISABLE_COPY_AND_ASSIGN(CommContextManager);
 

paddle/phi/core/distributed/xccl_comm_context.cc

+// Copyright (c) 2023 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/core/distributed/xccl_comm_context.h"
+
+#include "glog/logging.h"
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/distributed/check/static_check.h"
+#include "paddle/phi/core/distributed/utils.h"
+#include "paddle/phi/core/enforce.h"
+#include "paddle/phi/core/utils/data_type.h"
+
+namespace phi {
+namespace distributed {
+
+XCCLCommContext::XCCLCommContext(const std::string& device_type,
+                                 int rank,
+                                 int size,
+                                 const ccl::CCLRootId& xccl_id)
+    : CommContext(rank, size) {
+  device_type_ = device_type;
+  phi::DeviceManager::CCLCommInitRank(device_type,
+                                      size_,
+                                      const_cast<ccl::CCLRootId*>(&xccl_id),
+                                      rank,
+                                      &xccl_comm_);
+}
+
+void XCCLCommContext::Broadcast(phi::DenseTensor* out_tensor,
+                                const phi::DenseTensor& in_tensor,
+                                int root,
+                                const phi::stream::Stream& stream) const {
+  CommStaticCheck::SameShape(*out_tensor,
+                             in_tensor,
+                             /*dst_rank*/ rank_,
+                             /*cur_rank*/ rank_,
+                             size_,
+                             phi::AllocationType::CUSTOM);
+  if (rank_ == root) {
+    phi::DeviceManager::CCLBroadcast(device_type_,
+                                     const_cast<void*>(in_tensor.data()),
+                                     in_tensor.numel(),
+                                     phi::ccl::ToCCLDataType(in_tensor.dtype()),
+                                     root,
+                                     xccl_comm_,
+                                     stream);
+  } else {
+    phi::DeviceManager::CCLBroadcast(device_type_,
+                                     out_tensor->data(),
+                                     out_tensor->numel(),
+                                     phi::ccl::ToCCLDataType(in_tensor.dtype()),
+                                     root,
+                                     xccl_comm_,
+                                     stream);
+  }
+}
+
+void XCCLCommContext::AllGather(phi::DenseTensor* out_tensor,
+                                const phi::DenseTensor& in_tensor,
+                                const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::GatherLikeShape(
+      *out_tensor,
+      in_tensor,
+      /*dst_rank*/ rank_,
+      /*cur_rank*/ rank_,
+      size_,
+      phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLAllGather(device_type_,
+                                   const_cast<void*>(in_tensor.data()),
+                                   out_tensor->data(),
+                                   in_tensor.numel(),
+                                   phi::ccl::ToCCLDataType(in_tensor.dtype()),
+                                   xccl_comm_,
+                                   stream);
+}
+void XCCLCommContext::ReduceScatter(phi::DenseTensor* out_tensor,
+                                    const phi::DenseTensor& in_tensor,
+                                    phi::ccl::CCLReduceOp reduce_type,
+                                    const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::ScatterLikeShape(
+      *out_tensor,
+      in_tensor,
+      /*dst_rank*/ rank_,
+      /*cur_rank*/ rank_,
+      size_,
+      phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLReduceScatter(
+      device_type_,
+      const_cast<void*>(in_tensor.data()),
+      out_tensor->data(),
+      out_tensor->numel(),
+      phi::ccl::ToCCLDataType(in_tensor.type()),
+      reduce_type,
+      xccl_comm_,
+      stream);
+}
+
+void XCCLCommContext::Send(const phi::DenseTensor& in_tensor,
+                           const int64_t& count,
+                           const int& peer,
+                           const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::CheckShape(
+      in_tensor, rank_, size_, phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLSend(device_type_,
+                              const_cast<void*>(in_tensor.data()),
+                              count,
+                              phi::ccl::ToCCLDataType(in_tensor.type()),
+                              peer,
+                              xccl_comm_,
+                              stream);
+  VLOG(3) << "rank " << GetRank() << " send " << phi::product(in_tensor.dims())
+          << " to " << peer;
+}
+
+void XCCLCommContext::Recv(phi::DenseTensor* out_tensor,
+                           const int64_t& count,
+                           const int& peer,
+                           const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::CheckShape(
+      *out_tensor, rank_, size_, phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLRecv(device_type_,
+                              out_tensor->data(),
+                              count,
+                              phi::ccl::ToCCLDataType(out_tensor->type()),
+                              peer,
+                              xccl_comm_,
+                              stream);
+  VLOG(3) << "rank " << GetRank() << " recv "
+          << phi::product(out_tensor->dims()) << " from " << peer;
+}
+
+void XCCLCommContext::AllReduce(phi::DenseTensor* out_tensor,
+                                const phi::DenseTensor& in_tensor,
+                                phi::ccl::CCLReduceOp reduce_type,
+                                const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::SameShape(*out_tensor,
+                                               in_tensor,
+                                               /*dst_rank*/ rank_,
+                                               /*cur_rank*/ rank_,
+                                               size_,
+                                               phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLAllReduce(device_type_,
+                                   const_cast<void*>(in_tensor.data()),
+                                   out_tensor->data(),
+                                   in_tensor.numel(),
+                                   phi::ccl::ToCCLDataType(in_tensor.type()),
+                                   reduce_type,
+                                   xccl_comm_,
+                                   stream);
+}
+
+void XCCLCommContext::Reduce(phi::DenseTensor* out_tensor,
+                             const phi::DenseTensor& in_tensor,
+                             phi::ccl::CCLReduceOp reduce_type,
+                             int root,
+                             const phi::stream::Stream& stream) const {
+  phi::distributed::CommStaticCheck::SameShape(*out_tensor,
+                                               in_tensor,
+                                               /*dst_rank*/ root,
+                                               /*cur_rank*/ rank_,
+                                               size_,
+                                               phi::AllocationType::CUSTOM);
+  phi::DeviceManager::CCLReduce(device_type_,
+                                const_cast<void*>(in_tensor.data()),
+                                out_tensor->data(),
+                                in_tensor.numel(),
+                                phi::ccl::ToCCLDataType(in_tensor.type()),
+                                reduce_type,
+                                root,
+                                xccl_comm_,
+                                stream);
+}
+
+void XCCLCommContext::GroupStart() const {
+  phi::DeviceManager::CCLGroupStart(device_type_);
+}
+void XCCLCommContext::GroupEnd() const {
+  phi::DeviceManager::CCLGroupEnd(device_type_);
+}
+
+}  // namespace distributed
+}  // namespace phi

paddle/phi/core/distributed/xccl_comm_context.h

+// Copyright (c) 2023 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.
+#pragma once
+
+#include "paddle/phi/core/distributed/comm_context.h"
+#include "paddle/phi/core/macros.h"
+
+#include "paddle/phi/backends/device_manager.h"
+
+namespace phi {
+class DenseTensor;
+namespace distributed {
+
+class XCCLCommContext final : public CommContext {
+ public:
+  XCCLCommContext(const std::string& device_type,
+                  int rank,
+                  int size,
+                  const ccl::CCLRootId& xccl_id);
+
+  ccl::CCLComm GetXcclComm() const { return xccl_comm_; }
+
+  const std::string& GetDeviceType() const { return device_type_; }
+
+  void Broadcast(phi::DenseTensor* out_tensor,
+                 const phi::DenseTensor& in_tensor,
+                 int root,
+                 const phi::stream::Stream& stream) const;
+
+  void Send(const phi::DenseTensor& in_tensor,
+            const int64_t& count,
+            const int& peer,
+            const phi::stream::Stream& stream) const;
+
+  void Recv(phi::DenseTensor* out_tensor,
+            const int64_t& count,
+            const int& peer,
+            const phi::stream::Stream& stream) const;
+
+  void ReduceScatter(phi::DenseTensor* out_tensor,
+                     const phi::DenseTensor& in_tensor,
+                     phi::ccl::CCLReduceOp reduce_type,
+                     const phi::stream::Stream& stream) const;
+
+  void AllGather(phi::DenseTensor* out_tensor,
+                 const phi::DenseTensor& in_tensor,
+                 const phi::stream::Stream& stream) const;
+
+  void AllReduce(phi::DenseTensor* out_tensor,
+                 const phi::DenseTensor& in_tensor,
+                 phi::ccl::CCLReduceOp reduce_type,
+                 const phi::stream::Stream& stream) const;
+
+  void Reduce(phi::DenseTensor* out_tensor,
+              const phi::DenseTensor& in_tensor,
+              phi::ccl::CCLReduceOp reduce_type,
+              int root,
+              const phi::stream::Stream& stream) const;
+
+  void GroupStart() const;
+
+  void GroupEnd() const;
+
+ private:
+  DISABLE_COPY_AND_ASSIGN(XCCLCommContext);
+
+  std::string device_type_;
+  ccl::CCLComm xccl_comm_;
+};
+
+}  // namespace distributed
+}  // namespace phi

paddle/phi/kernels/cpu/all_gather_kernel.cc

@@ -20,6 +20,9 @@
 #if defined(PADDLE_WITH_GLOO)
 #include "paddle/phi/core/distributed/gloo_comm_context.h"
 #endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
 
 namespace phi {
 
@@ -49,6 +52,28 @@ void AllGatherKernel(const Context& dev_ctx,
 #endif
 }
 
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+template <typename T>
+void AllGatherKernel(const phi::CustomContext& dev_ctx,
+                     const DenseTensor& x,
+                     int nranks,
+                     DenseTensor* out) {
+  dev_ctx.template Alloc<T>(out);
+  auto out_dims = x.dims();
+  out_dims[0] *= nranks;
+  out->Resize(out_dims);
+
+  auto comm_ctx =
+      static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
+  PADDLE_ENFORCE_EQ(
+      nranks,
+      comm_ctx->GetSize(),
+      errors::InvalidArgument(
+          "nranks: %s should equal to %s", nranks, comm_ctx->GetSize()));
+
+  comm_ctx->AllGather(out, x, *dev_ctx.GetStream());
+}
+#endif
 }  // namespace phi
 
 PD_REGISTER_KERNEL(all_gather,
@@ -64,3 +89,19 @@ PD_REGISTER_KERNEL(all_gather,
                    int16_t,
                    int64_t,
                    phi::dtype::float16) {}
+
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+PD_REGISTER_KERNEL(all_gather,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::AllGatherKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int64_t,
+                   phi::dtype::float16) {}
+#endif

paddle/phi/kernels/cpu/all_reduce_kernel.cc

@@ -20,6 +20,9 @@
 #if defined(PADDLE_WITH_GLOO)
 #include "paddle/phi/core/distributed/gloo_comm_context.h"
 #endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
 
 namespace phi {
 
@@ -47,6 +50,27 @@ void AllReduceKernel(const Context& dev_ctx,
 #endif
 }
 
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+template <typename T>
+void AllReduceKernel(const phi::CustomContext& dev_ctx,
+                     const DenseTensor& x,
+                     int reduce_type,
+                     DenseTensor* out) {
+  out->Resize(x.dims());
+  dev_ctx.template Alloc<T>(out);
+
+  auto comm_ctx =
+      static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
+  PADDLE_ENFORCE_NE(
+      comm_ctx,
+      nullptr,
+      errors::Unavailable("XCCLCommContext is nullptr, collective op should "
+                          "has ring_id attr."));
+  comm_ctx->AllReduce(
+      out, x, phi::ccl::ToXCCLReduceOp(reduce_type), *dev_ctx.GetStream());
+}
+#endif
+
 }  // namespace phi
 
 PD_REGISTER_KERNEL(all_reduce,
@@ -61,3 +85,18 @@ PD_REGISTER_KERNEL(all_reduce,
                    uint8_t,
                    int64_t,
                    phi::dtype::float16) {}
+
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+PD_REGISTER_KERNEL(all_reduce,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::AllReduceKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   phi::dtype::float16) {}
+#endif

paddle/phi/kernels/cpu/all_to_all_kernel.cc

@@ -16,6 +16,9 @@
 
 #include "paddle/phi/backends/all_context.h"
 #include "paddle/phi/core/kernel_registry.h"
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
 
 namespace phi {
 
@@ -26,6 +29,42 @@ void AllToAllKernel(const Context& dev_ctx UNUSED,
   PADDLE_THROW(
       errors::Unimplemented("Unimplemented cpu kernel for all_to_all."));
 }
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+template <typename T>
+void AllToAllKernel(const phi::CustomContext& dev_ctx,
+                    const DenseTensor& x,
+                    DenseTensor* out) {
+  out->Resize(x.dims());
+  dev_ctx.template Alloc<T>(out);
+  auto comm_ctx =
+      static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
+
+  int nranks = comm_ctx->GetSize();
+  int rank = comm_ctx->GetRank();
+  int send_numel = x.numel() / nranks;
+
+  std::vector<void*> sendbuf, recvbuf;
+  std::vector<size_t> sendsize(send_numel, nranks);
+  std::vector<phi::ccl::CCLDataType> sendtype(
+      phi::ccl::ToCCLDataType(x.dtype()), nranks);
+  for (auto i = 0; i < nranks; ++i) {
+    sendbuf.push_back(x.data<T>() + i * send_numel);
+    recvbuf.push_back(out->data<T>() + i * send_numel);
+  }
+  phi::DeviceManager::CCLAllToAll(dev_ctx.GetPlace().GetDeviceType(),
+                                  const_cast<const void**>(sendbuf.data()),
+                                  sendsize.data(),
+                                  sendtype.data(),
+                                  recvbuf.data(),
+                                  sendsize.data(),
+                                  sendtype.data(),
+                                  rank,
+                                  nranks,
+                                  comm_ctx->GetXcclComm(),
+                                  *dev_ctx.GetStream());
+}
+
+#endif
 
 }  // namespace phi
 
@@ -41,3 +80,17 @@ PD_REGISTER_KERNEL(all_to_all,
                    uint8_t,
                    int64_t,
                    phi::dtype::float16) {}
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+PD_REGISTER_KERNEL(all_to_all,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::AllToAllKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   phi::dtype::float16) {}
+#endif

paddle/phi/kernels/cpu/reduce_kernel.cc

@@ -20,6 +20,9 @@
 #if defined(PADDLE_WITH_GLOO)
 #include "paddle/phi/core/distributed/gloo_comm_context.h"
 #endif
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
 
 namespace phi {
 
@@ -51,6 +54,35 @@ void ReduceKernel(const Context& dev_ctx,
 #endif
 }
 
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+template <typename T>
+void ReduceKernel(const phi::CustomContext& dev_ctx,
+                  const DenseTensor& x,
+                  int root,
+                  int reduce_type,
+                  DenseTensor* out) {
+  PADDLE_ENFORCE_GT(
+      x.numel(),
+      0,
+      phi::errors::InvalidArgument("Tensor need be reduced must not empyt."));
+  out->Resize(x.dims());
+  dev_ctx.template Alloc<T>(out);
+
+  auto comm_ctx =
+      static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
+  PADDLE_ENFORCE_NE(
+      comm_ctx,
+      nullptr,
+      errors::Unavailable("XCCLCommContext is nullptr, collective op should "
+                          "has ring_id attr."));
+  comm_ctx->Reduce(out,
+                   x,
+                   phi::ccl::ToXCCLReduceOp(reduce_type),
+                   root,
+                   *dev_ctx.GetStream());
+}
+#endif
+
 }  // namespace phi
 
 PD_REGISTER_KERNEL(reduce,
@@ -65,3 +97,18 @@ PD_REGISTER_KERNEL(reduce,
                    uint8_t,
                    int64_t,
                    phi::dtype::float16) {}
+
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+PD_REGISTER_KERNEL(reduce,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::ReduceKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   phi::dtype::float16) {}
+#endif

python/paddle/distributed/collective.py

@@ -334,3 +334,9 @@ def _init_parallel_env(backend):
         core.CommContextManager.create_nccl_comm_context(
             store, "0", rank, world_size
         )
+    elif backend == "xccl":
+        dev_type = global_env.device_type
+        paddle.device.set_device(f"{dev_type}:{dev_id}")
+        core.CommContextManager.create_xccl_comm_context(
+            store, "0", rank, world_size, dev_type
+        )