chore: import upstream snapshot with attribution

paddle/fluid/framework/data_layout_transform.cc

@@ -0,0 +1,104 @@
+//   Copyright (c) 2018 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/fluid/framework/data_layout_transform.h"
+#include "paddle/fluid/framework/op_kernel_type.h"
+
+#include "paddle/phi/core/utils/data_type.h"
+#include "paddle/phi/kernels/funcs/math_function.h"
+
+namespace paddle::framework {
+
+std::vector<int> GetAxis(const DataLayout& from, const DataLayout& to) {
+  PADDLE_ENFORCE_NE(
+      from,
+      to,
+      common::errors::InvalidArgument(
+          "Layout transform should transform between different layout."));
+  if (from == DataLayout::NCHW && to == DataLayout::NHWC) {
+    return {0, 2, 3, 1};
+  } else if (from == DataLayout::NHWC && to == DataLayout::NCHW) {
+    return {0, 3, 1, 2};
+  } else {
+    PADDLE_THROW(
+        common::errors::InvalidArgument("Unsupported layout transform."));
+  }
+}
+
+template <typename T>
+void CastDataLayout::apply() {
+  auto place = ctx_->GetPlace();
+
+  if (phi::is_cpu_place(place)) {
+    phi::funcs::Transpose<phi::CPUContext, T, 4> trans4;
+    auto* context = static_cast<const phi::CPUContext*>(ctx_);
+    trans4(*context, in_, out_, axis_);
+  } else {
+    PADDLE_THROW(common::errors::PreconditionNotMet(
+        "Unsupported data layout cast from CPU to GPU."));
+  }
+}
+
+void TransDataLayout(const phi::KernelKey& kernel_type_for_var,
+                     const phi::KernelKey& expected_kernel_type,
+                     const DenseTensor& in,
+                     DenseTensor* out,
+                     const Place& place) {
+  PADDLE_ENFORCE(
+      backends_are_same_class(kernel_type_for_var.backend(),
+                              expected_kernel_type.backend()),
+      common::errors::PreconditionNotMet(
+          "TransDataLayout only support DataLayout transform on same place."));
+
+  TransDataLayout(kernel_type_for_var.layout(),
+                  expected_kernel_type.layout(),
+                  place,
+                  in,
+                  out);
+}
+
+void TransDataLayout(DataLayout from_layout,
+                     DataLayout to_layout,
+                     Place place,
+                     const DenseTensor& in,
+                     DenseTensor* out) {
+  PADDLE_ENFORCE_EQ(
+      arity(in.dims()),
+      4,
+      common::errors::InvalidArgument(
+          "Input dimension arity only can be 4, the input dimension is %s.",
+          in.dims()));
+
+  auto& pool = phi::DeviceContextPool::Instance();
+
+  auto src_dim = in.dims();
+  std::vector<int64_t> dst_dim;
+
+  auto axis = GetAxis(from_layout, to_layout);
+  dst_dim.resize(axis.size());
+  for (size_t i = 0; i < axis.size(); i++) {
+    dst_dim[i] = src_dim[axis[i]];
+  }
+
+  out->Resize(common::make_ddim(dst_dim));
+  out->mutable_data(place, in.dtype());
+
+  framework::VisitDataType(
+      static_cast<proto::VarType::Type>(phi::TransToProtoVarType(in.dtype())),
+      CastDataLayout(pool.Get(place), axis, in, out));
+
+  out->set_layout(to_layout);
+}
+
+}  // namespace paddle::framework