chore: import upstream snapshot with attribution

paddle/phi/kernels/impl/sync_comm_stream_kernel_impl.h

@@ -0,0 +1,53 @@
+// 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
+//
+//     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 <string>
+
+#include "paddle/phi/backends/xpu/xpu_info.h"
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/core/distributed/comm_context_manager.h"
+#include "paddle/phi/core/kernel_registry.h"
+
+#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
+#include "paddle/phi/core/distributed/nccl_comm_context.h"
+#elif defined(PADDLE_WITH_XPU_BKCL)
+#include "paddle/phi/core/distributed/bkcl_comm_context.h"
+#endif
+
+namespace phi {
+
+#if defined(PADDLE_WITH_XPU_BKCL)
+static void XPUStreamSync(XPUStream stream) {
+  PADDLE_ENFORCE_XDNN_SUCCESS(xpu_wait(stream), "xpu_wait");
+}
+#endif
+
+template <typename T, typename Context>
+void SyncCommStreamKernel(const Context &dev_ctx,
+                          const std::vector<const DenseTensor *> &x UNUSED,
+                          int ring_id UNUSED,
+                          std::vector<DenseTensor *> out UNUSED) {
+#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
+  backends::gpu::GpuStreamSync(dev_ctx.stream());
+#elif defined(PADDLE_WITH_XPU_BKCL)
+  XPUStreamSync(dev_ctx.stream());
+#else
+  PADDLE_THROW(common::errors::PreconditionNotMet(
+      "PaddlePaddle should compile with GPU or XPU."));
+#endif
+}
+
+}  // namespace phi