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 +1,88 @@
+// 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/split_kernel.h"
+
+#include "glog/logging.h"
+
+#include "paddle/common/flags.h"
+#include "paddle/phi/backends/all_context.h"
+#include "paddle/phi/core/kernel_registry.h"
+#include "paddle/phi/kernels/slice_kernel.h"
+
+COMMON_DECLARE_bool(use_stride_kernel);
+
+namespace phi {
+
+template <typename Context>
+void SplitStridedKernel(const Context& dev_ctx,
+                        const DenseTensor& x,
+                        const IntArray& sections UNUSED,
+                        const Scalar& axis_scalar,
+                        std::vector<DenseTensor*> outs) {
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  int64_t num = static_cast<int64_t>(outs.size());
+  int64_t start = 0;
+
+  int axis = axis_scalar.to<int>();
+
+  for (int64_t i = 0; i < num; i++) {
+    auto size = outs[i]->dims()[axis];
+    SliceStridedKernel<Context>(dev_ctx,
+                                x,
+                                {axis},
+                                IntArray({start}),
+                                IntArray({start + size}),
+                                std::vector<int64_t>(),
+                                std::vector<int64_t>(),
+                                outs[i]);
+    start += size;
+  }
+}
+
+template <typename Context>
+void SplitWithNumStridedKernel(const Context& dev_ctx,
+                               const DenseTensor& x,
+                               int num,
+                               const Scalar& axis_scalar,
+                               std::vector<DenseTensor*> outs) {
+  if (!FLAGS_use_stride_kernel) {
+    PADDLE_THROW(common::errors::Fatal(
+        "FLAGS_use_stride_kernel is closed. Strided kernel "
+        "be called, something wrong has happened!"));
+  }
+  int axis_value = axis_scalar.to<int>();
+  auto input_axis_dim = x.dims().at(axis_value);
+  std::vector<int64_t> sections_vec;
+  sections_vec.reserve(num);
+  for (int i = 0; i < num; ++i) {
+    sections_vec.push_back(input_axis_dim / num);
+  }
+  IntArray sections(sections_vec);
+  SplitStridedKernel<Context>(dev_ctx, x, sections, axis_scalar, outs);
+}
+
+}  // namespace phi
+
+PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(split_strided,
+                                         STRIDED,
+                                         phi::SplitStridedKernel) {}
+
+PD_REGISTER_KERNEL_FOR_ALL_BACKEND_DTYPE(split_with_num_strided,
+                                         STRIDED,
+                                         phi::SplitWithNumStridedKernel) {}