chore: import upstream snapshot with attribution

paddle/phi/kernels/cpu/send_uv_kernel.cc

@@ -0,0 +1,131 @@
+// Copyright (c) 2022 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/send_uv_kernel.h"
+
+#include "paddle/common/hostdevice.h"
+#include "paddle/phi/backends/cpu/cpu_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/cpu/graph_send_ue_recv_funcs.h"
+#include "paddle/phi/kernels/full_kernel.h"
+#include "paddle/phi/kernels/impl/graph_message_passing_impl.h"
+
+namespace phi {
+
+template <typename T, typename IndexT, typename ComputeFunctor>
+void GraphSendUVCpuKernel(const BroadCastInfo& bcast,
+                          const T* x_data,
+                          const T* y_data,
+                          const IndexT* src_indices,
+                          const IndexT* dst_indices,
+                          T* output,
+                          int64_t index_size,
+                          ComputeFunctor cfunctor) {
+#ifdef PADDLE_WITH_MKLML
+#pragma omp parallel for
+#endif
+  for (int64_t i = 0; i < index_size; i++) {
+    IndexT src = src_indices[i];
+    IndexT dst = dst_indices[i];
+    T* out_off = output + i * bcast.out_len;
+    const T* x_off = x_data + src * bcast.l_len;
+    const T* y_off = y_data + dst * bcast.r_len;
+    for (int64_t j = 0; j < bcast.out_len; j++) {
+      int64_t x_add = bcast.use_bcast ? bcast.l_offset[j] : j;
+      int64_t y_add = bcast.use_bcast ? bcast.r_offset[j] : j;
+      T val = cfunctor(x_off[x_add], y_off[y_add]);
+      out_off[j] = val;
+    }
+  }
+}
+
+template <typename Context, typename T, typename IndexT>
+void GraphSendUVOpKernelLaunchHelper(const Context& dev_ctx,
+                                     const DenseTensor& x,
+                                     const DenseTensor& y,
+                                     const DenseTensor& src_index,
+                                     const DenseTensor& dst_index,
+                                     const std::string& message_op,
+                                     DenseTensor* out) {
+  // TODO(large-tensor): downstream functors may still use int; guard until
+  // upgraded.
+  const int64_t& index_size = src_index.dims()[0];
+  // NOLINT
+  PADDLE_ENFORCE_GT(
+      index_size,
+      0,
+      errors::InvalidArgument("The first dimension of src_index or dst_index "
+                              "should be greater than 0, but received %d.",
+                              index_size));
+
+  dev_ctx.template Alloc<T>(out);
+  T* out_data = out->data<T>();
+
+  const auto& bcast_info = CalcBCastInfo(x.dims(), y.dims());
+  const T* x_data = x.data<T>();
+  const T* y_data = y.data<T>();
+  const IndexT* s_index = src_index.data<IndexT>();
+  const IndexT* d_index = dst_index.data<IndexT>();
+  if (message_op == "ADD") {
+    GraphAddFunctor<T> add_functor;
+    GraphSendUVCpuKernel<T, IndexT, GraphAddFunctor<T>>(bcast_info,
+                                                        x_data,
+                                                        y_data,
+                                                        s_index,
+                                                        d_index,
+                                                        out_data,
+                                                        index_size,
+                                                        add_functor);
+  } else if (message_op == "MUL") {
+    GraphMulFunctor<T> mul_functor;
+    GraphSendUVCpuKernel<T, IndexT, GraphMulFunctor<T>>(bcast_info,
+                                                        x_data,
+                                                        y_data,
+                                                        s_index,
+                                                        d_index,
+                                                        out_data,
+                                                        index_size,
+                                                        mul_functor);
+  }
+}
+
+template <typename T, typename Context>
+void SendUVKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  const DenseTensor& y,
+                  const DenseTensor& src_index,
+                  const DenseTensor& dst_index,
+                  const std::string& message_op,
+                  DenseTensor* out) {
+  auto index_type = src_index.dtype();
+
+  if (x.numel() == 0 || y.numel() == 0 || src_index.numel() == 0 ||
+      dst_index.numel() == 0) {
+    Full<T, Context>(dev_ctx, out->dims(), 0, out);
+    return;
+  }
+
+  if (index_type == DataType::INT32) {
+    GraphSendUVOpKernelLaunchHelper<Context, T, int32_t>(
+        dev_ctx, x, y, src_index, dst_index, message_op, out);
+  } else if (index_type == DataType::INT64) {
+    GraphSendUVOpKernelLaunchHelper<Context, T, int64_t>(
+        dev_ctx, x, y, src_index, dst_index, message_op, out);
+  }
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL(
+    send_uv, CPU, ALL_LAYOUT, phi::SendUVKernel, float, double, int, int64_t) {}