chore: import upstream snapshot with attribution

paddle/phi/kernels/gpu/p_send_kernel.cu

@@ -0,0 +1,137 @@
+// 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/kernels/p_send_kernel.h"
+
+#include "glog/logging.h"
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/common/memory_utils.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/core/utils/data_type.h"
+#include "paddle/phi/kernels/funcs/send_recv_functor.h"
+
+#if defined(PADDLE_WITH_NCCL) || \
+    defined(PADDLE_WITH_RCCL) && NCCL_VERSION_CODE >= 2703
+#include "paddle/phi/core/distributed/nccl_comm_context.h"
+#endif
+
+namespace phi {
+
+template <typename T, typename Context>
+void PSendKernel(const Context& dev_ctx,
+                 const DenseTensor& x,
+                 int peer,
+                 bool dynamic_shape) {
+#if defined(PADDLE_WITH_NCCL) || \
+    defined(PADDLE_WITH_RCCL) && NCCL_VERSION_CODE >= 2703
+  auto comm_ctx =
+      GetCommContext<Context, distributed::NCCLCommContext>(dev_ctx, peer);
+  gpuStream_t stream = dev_ctx.stream();
+  if (dynamic_shape) {
+    send_shape_info<Context, distributed::NCCLCommContext, gpuStream_t>(
+        dev_ctx, x, comm_ctx, peer, stream);
+  }
+  comm_ctx->Send(x, x.numel(), peer, stream);
+#else
+  PADDLE_THROW(
+      errors::PreconditionNotMet("PaddlePaddle should compile with GPU."
+                                 "and NCCL version >= 2.7.3 is needed."));
+#endif
+}
+
+template <typename T, typename Context>
+void PSendArrayKernel(const Context& dev_ctx,
+                      const TensorArray& x_array,
+                      int peer) {
+#if defined(PADDLE_WITH_NCCL) || \
+    defined(PADDLE_WITH_RCCL) && NCCL_VERSION_CODE >= 2703
+  auto comm_ctx =
+      GetCommContext<Context, distributed::NCCLCommContext>(dev_ctx, peer);
+  gpuStream_t stream = dev_ctx.stream();
+  for (size_t idx = 0; idx < x_array.size(); idx++) {
+    VLOG(3) << "DenseTensorArray: idx(" << idx << ")";
+    auto x = x_array.at(idx);
+    int64_t numel = x.numel();
+    ncclDataType_t dtype = ToNCCLDataType(x.type());
+    comm_ctx->Send(x, x.numel(), peer, stream);
+    VLOG(3) << "rank " << comm_ctx->GetRank() << " send "
+            << common::product(x.dims()) << " to " << peer;
+  }
+#else
+  PADDLE_THROW(
+      errors::PreconditionNotMet("PaddlePaddle should compile with GPU."
+                                 "and NCCL version >= 2.7.3 is needed."));
+#endif
+}
+
+}  // namespace phi
+
+#if NCCL_VERSION_CODE >= 21000
+PD_REGISTER_KERNEL(p_send,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PSendKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int64_t,
+                   phi::bfloat16,
+                   phi::float16) {}
+
+PD_REGISTER_KERNEL(p_send_array,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PSendArrayKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   phi::bfloat16,
+                   phi::float16) {}
+#else
+PD_REGISTER_KERNEL(p_send,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PSendKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int64_t,
+                   phi::float16) {}
+
+PD_REGISTER_KERNEL(p_send_array,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PSendArrayKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int64_t,
+                   phi::float16) {}
+#endif