chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/barrier_kernel.cc

@@ -0,0 +1,45 @@
+// 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.
+
+#include "paddle/phi/kernels/barrier_kernel.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_GLOO)
+#include "paddle/phi/core/distributed/gloo_comm_context.h"
+#endif
+
+namespace phi {
+
+template <typename T, typename Context>
+void BarrierKernel(const Context &dev_ctx,
+                   const DenseTensor &x,
+                   DenseTensor *out) {
+#if defined(PADDLE_WITH_GLOO)
+  auto comm_ctx =
+      static_cast<distributed::GlooCommContext *>(dev_ctx.GetCommContext());
+  PADDLE_ENFORCE_NE(comm_ctx,
+                    nullptr,
+                    ::common::errors::Unavailable(
+                        "NCCLCommContext is nullptr, collective op should "
+                        "has ring_id attr."));
+  comm_ctx->Barrier();
+#else
+  PADDLE_THROW(common::errors::Unavailable(
+      "PaddlePaddle should compile with GLOO by setting WITH_GLOO=ON"));
+#endif
+}
+}  // namespace phi
+
+PD_REGISTER_KERNEL(barrier, CPU, ALL_LAYOUT, phi::BarrierKernel, int) {}