chore: import upstream snapshot with attribution

2026-07-13 12:40:42 +08:00
commit e25996e7db
15472 changed files with 3536181 additions and 0 deletions
@@ -0,0 +1,125 @@
+// 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 <algorithm>
+#include <utility>
+#include <vector>
+
+#include "glog/logging.h"
+#include "paddle/phi/core/distributed/utils.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/gpu/partial_send_kernel.h"
+#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
+#include "paddle/phi/core/distributed/nccl_comm_context.h"
+#endif
+
+namespace phi {
+
+template <typename T, typename Context>
+void PartialSendKernel(const Context& dev_ctx,
+                       const DenseTensor& x_in,
+                       int peer,
+                       int num,
+                       int id) {
+#if (defined(PADDLE_WITH_RCCL) || defined(PADDLE_WITH_NCCL)) && \
+    NCCL_VERSION_CODE >= 2703
+  auto x = &x_in;
+  int64_t numel = x->numel();
+
+  PADDLE_ENFORCE_GE(
+      peer,
+      0,
+      common::errors::InvalidArgument(
+          "The peer (%d) for partial_send op must be non-negative.", peer));
+  PADDLE_ENFORCE_GE(num,
+                    1,
+                    common::errors::InvalidArgument(
+                        "The num (%d) for partial_send op must >=1", num));
+  PADDLE_ENFORCE_EQ(
+      (id >= 0 && id < num),
+      true,
+      common::errors::InvalidArgument(
+          "The id (%d) for partial_send op must >=0 and <num (%d)", id, num));
+  PADDLE_ENFORCE_EQ(
+      (numel % num),
+      0,
+      common::errors::InvalidArgument(
+          "The input numel (%d) must be divisible by num(%d)", numel, num));
+
+  int64_t send_numel = numel / num;
+  int64_t offset = send_numel * id;
+
+  gpuStream_t stream = nullptr;
+
+  distributed::NCCLCommContext* comm_ctx = nullptr;
+  int nranks = 0;
+  int rank = 0;
+
+  comm_ctx =
+      static_cast<distributed::NCCLCommContext*>(dev_ctx.GetCommContext());
+  PADDLE_ENFORCE_NE(comm_ctx,
+                    nullptr,
+                    common::errors::Unavailable(
+                        "NCCLCommContext is nullptr, collective op should "
+                        "has ring_id attr."));
+
+  stream = dev_ctx.stream();
+  nranks = comm_ctx->GetSize();
+  rank = comm_ctx->GetRank();
+
+  PADDLE_ENFORCE_LT(
+      peer,
+      nranks,
+      common::errors::InvalidArgument("The value of peer (%d) you set must "
+                                      "be less than ranks (%d).",
+                                      peer,
+                                      nranks));
+
+  auto send_buf = distributed::GetPartialTensor(*x, offset, send_numel);
+  comm_ctx->Send(send_buf, send_numel, peer, stream);
+
+  VLOG(3) << "rank " << rank << " send " << send_numel << " from offset["
+          << offset << "] to " << peer;
+
+#else
+  PADDLE_THROW(
+      common::errors::Unavailable("PaddlePaddle should be compiled with NCCL "
+                                  "and NCCL version >= 2.7.3 is needed."));
+#endif
+}
+}  // namespace phi
+
+#if (NCCL_VERSION_CODE >= 21000 && CUDA_VERSION >= 11000) || \
+    defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(partial_send,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PartialSendKernel,
+                   float,
+                   double,
+                   phi::bfloat16,
+                   int,
+                   int64_t,
+                   phi::float16) {}
+#else
+PD_REGISTER_KERNEL(partial_send,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PartialSendKernel,
+                   float,
+                   double,
+                   int,
+                   int64_t,
+                   phi::float16) {}
+#endif