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 +1,97 @@
+// 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/all_to_all_kernel.h"
+
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+#include "paddle/phi/core/distributed/xccl_comm_context.h"
+#endif
+
+namespace phi {
+
+template <typename T, typename Context>
+void AllToAllKernel(const Context& dev_ctx UNUSED,
+                    const DenseTensor& x UNUSED,
+                    DenseTensor* out UNUSED) {
+  PADDLE_THROW(
+      errors::Unimplemented("Unimplemented cpu kernel for all_to_all."));
+}
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+template <typename T>
+void AllToAllKernel(const CustomContext& dev_ctx,
+                    const DenseTensor& x,
+                    DenseTensor* out) {
+  out->Resize(x.dims());
+  dev_ctx.template Alloc<T>(out);
+  auto comm_ctx =
+      static_cast<distributed::XCCLCommContext*>(dev_ctx.GetCommContext());
+
+  int nranks = comm_ctx->GetSize();
+  int rank = comm_ctx->GetRank();
+  int send_numel = x.numel() / nranks;
+
+  std::vector<void*> sendbuf, recvbuf;
+  std::vector<size_t> sendsize(send_numel, nranks);
+  std::vector<DataType> sendtype(x.dtype(), nranks);
+  for (auto i = 0; i < nranks; ++i) {
+    sendbuf.push_back(x.data<T>() + i * send_numel);
+    recvbuf.push_back(out->data<T>() + i * send_numel);
+  }
+  DeviceManager::CCLAllToAll(dev_ctx.GetPlace().GetDeviceType(),
+                             const_cast<const void**>(sendbuf.data()),
+                             sendsize.data(),
+                             sendtype.data(),
+                             recvbuf.data(),
+                             sendsize.data(),
+                             sendtype.data(),
+                             rank,
+                             nranks,
+                             comm_ctx->GetXcclComm(),
+                             dev_ctx.stream());
+}
+
+#endif
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(all_to_all,
+                   CPU,
+                   ALL_LAYOUT,
+                   phi::AllToAllKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   uint8_t,
+                   int16_t,
+                   int64_t,
+                   phi::float16) {}
+#ifdef PADDLE_WITH_CUSTOM_DEVICE
+PD_REGISTER_KERNEL(all_to_all,
+                   Custom,
+                   ALL_LAYOUT,
+                   phi::AllToAllKernel,
+                   float,
+                   double,
+                   int,
+                   bool,
+                   int8_t,
+                   int16_t,
+                   uint8_t,
+                   int64_t,
+                   phi::float16) {}
+#endif