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 +1,109 @@
+// 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/gpu/partial_allgather_kernel.h"
+#include "glog/logging.h"
+#include "paddle/phi/core/distributed/utils.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"
+#endif
+
+namespace phi {
+
+template <typename T, typename Context>
+void PartialAllGatherOpCUDAKernel(const Context& dev_ctx,
+                                  const DenseTensor& x_in,
+                                  int nranks,
+                                  int rank,
+                                  DenseTensor* out) {
+#if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
+  auto in = &x_in;
+  int64_t numel = in->numel();
+  ncclDataType_t dtype = ToNCCLDataType(in->dtype());
+
+  gpuStream_t stream = nullptr;
+  distributed::NCCLCommContext* comm_ctx = nullptr;
+
+  int real_nranks = 0;
+  int real_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();
+  real_nranks = comm_ctx->GetSize();
+  real_rank = comm_ctx->GetRank();
+
+  PADDLE_ENFORCE_EQ(nranks,
+                    real_nranks,
+                    common::errors::InvalidArgument(
+                        "nranks: %s should equal to %s", nranks, real_nranks));
+  PADDLE_ENFORCE_EQ(rank,
+                    real_rank,
+                    common::errors::InvalidArgument(
+                        "rank: %s should equal to %s", rank, real_rank));
+
+  PADDLE_ENFORCE_EQ((numel % nranks),
+                    0,
+                    common::errors::InvalidArgument(
+                        "The input numel (%d) must be divisible by nranks(%d)",
+                        numel,
+                        nranks));
+
+  DDim dims = in->dims();
+  out->Resize(dims);
+  dev_ctx.template Alloc<T>(out);
+
+  int64_t send_numel = numel / nranks;
+  int64_t offset = send_numel * rank;
+
+  auto send_buf = distributed::GetPartialTensor(*in, offset, send_numel);
+  comm_ctx->AllGather(out, send_buf, stream);
+#else
+  PADDLE_THROW(common::errors::PreconditionNotMet(
+      "PaddlePaddle should compile with GPU."));
+#endif
+}
+
+}  // namespace phi
+
+#if (NCCL_VERSION_CODE >= 21000 && CUDA_VERSION >= 11000) || \
+    defined(PADDLE_WITH_HIP)
+PD_REGISTER_KERNEL(partial_allgather,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PartialAllGatherOpCUDAKernel,
+                   float,
+                   double,
+                   phi::bfloat16,
+                   int,
+                   int64_t,
+                   phi::float16) {}
+#else
+PD_REGISTER_KERNEL(partial_allgather,
+                   GPU,
+                   ALL_LAYOUT,
+                   phi::PartialAllGatherOpCUDAKernel,
+                   float,
+                   double,
+                   int,
+                   int64_t,
+                   phi::float16) {}
+#endif