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 +1,67 @@
+// 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.
+
+#pragma once
+
+#include <vector>
+
+#include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/kernels/funcs/im2col.h"
+#include "paddle/phi/kernels/funcs/math_function.h"
+#include "paddle/phi/kernels/funcs/unfold_functor.h"
+
+namespace phi {
+
+template <typename T, typename Context>
+void UnfoldKernel(const Context& dev_ctx,
+                  const DenseTensor& x,
+                  const std::vector<int>& kernel_sizes,
+                  const std::vector<int>& strides,
+                  const std::vector<int>& paddings,
+                  const std::vector<int>& dilations,
+                  DenseTensor* out) {
+  const int64_t batch_size = x.dims()[0];
+  dev_ctx.template Alloc<T>(out);
+  if (out->numel() == 0) {
+    return;
+  }
+
+  funcs::Im2ColFunctor<funcs::ColFormat::CFO, Context, T> im2col;
+  const auto& x_dims = x.dims();
+
+  int64_t out_height = funcs::CalcOutputSize(x_dims[2],
+                                             kernel_sizes[0],
+                                             dilations[0],
+                                             paddings[0],
+                                             paddings[2],
+                                             strides[0]);
+  int64_t out_width = funcs::CalcOutputSize(x_dims[3],
+                                            kernel_sizes[1],
+                                            dilations[1],
+                                            paddings[1],
+                                            paddings[3],
+                                            strides[1]);
+
+  DDim x_shape = make_ddim({x_dims[1], x_dims[2], x_dims[3]});
+  DDim out_matrix_shape = make_ddim(
+      {x_dims[1], kernel_sizes[0], kernel_sizes[1], out_height, out_width});
+
+  for (int64_t i = 0; i < batch_size; i++) {
+    DenseTensor in_batch = x.Slice(i, i + 1).Resize(x_shape);
+    DenseTensor out_batch = out->Slice(i, i + 1).Resize(out_matrix_shape);
+    im2col(dev_ctx, in_batch, dilations, strides, paddings, &out_batch);
+  }
+}
+
+}  // namespace phi