chore: import upstream snapshot with attribution

paddle/fluid/jit/function_utils.cc

@@ -0,0 +1,112 @@
+// 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/fluid/jit/function_utils.h"
+
+#include "paddle/fluid/framework/program_desc.h"
+#include "paddle/fluid/framework/scope.h"
+#include "paddle/fluid/framework/var_desc.h"
+#include "paddle/fluid/framework/variable.h"
+#include "paddle/phi/core/enforce.h"
+
+namespace paddle::jit::utils {
+
+std::vector<DenseTensor> ToDenseTensors(const std::vector<Tensor> &tensors) {
+  std::vector<DenseTensor> ret;
+  for (auto &t : tensors) {
+    ret.emplace_back(*std::dynamic_pointer_cast<phi::DenseTensor>(t.impl()));
+  }
+  return ret;
+}
+
+std::vector<Tensor> ToTensors(const std::vector<DenseTensor> &tensors) {
+  std::vector<Tensor> ret;
+  for (auto &t : tensors) {
+    ret.emplace_back(std::make_shared<DenseTensor>(t));
+  }
+  return ret;
+}
+
+void FetchOuts(const std::vector<std::string> &names,
+               const framework::Scope &scope,
+               std::vector<DenseTensor> *outs) {
+  outs->reserve(names.size());
+  for (const auto &out_name : names) {
+    VLOG(3) << "fetch out: " << out_name;
+    auto *var = scope.FindVar(out_name);
+    auto &src_tensor = var->Get<DenseTensor>();
+    outs->emplace_back(src_tensor);
+  }
+}
+
+void ShareIntoScope(const std::vector<std::string> &ordered_input_names,
+                    const std::vector<DenseTensor> &tensors,
+                    framework::Scope *scope) {
+  VLOG(3) << "tensors size: " << tensors.size();
+  PADDLE_ENFORCE_EQ(
+      tensors.size(),
+      ordered_input_names.size(),
+      common::errors::InvalidArgument(
+          "tensors.size() should be equal to ordered_input_names.size()."));
+  for (size_t i = 0; i < tensors.size(); ++i) {
+    VLOG(3) << "share into scope: " << ordered_input_names[i];
+    auto *var = scope->Var(ordered_input_names[i]);
+    auto *dst_tensor = var->GetMutable<DenseTensor>();
+    *dst_tensor = tensors[i];
+  }
+}
+
+void ShareParamsIntoScope(const std::vector<std::string> &param_names,
+                          const std::shared_ptr<VariableMap> &params_dict,
+                          framework::Scope *scope) {
+  for (auto name : param_names) {
+    PADDLE_ENFORCE_EQ(params_dict->count(name),
+                      1,
+                      common::errors::InvalidArgument(
+                          "Parameter named %s is not existed in params_dict. "
+                          "Please check that your model was saved correctly",
+                          name));
+
+    auto &param = params_dict->find(name)->second;
+    auto &dense_tensor = param->Get<DenseTensor>();
+    auto *var = scope->Var(name);
+    auto *dst_tensor = var->GetMutable<DenseTensor>();
+    *dst_tensor = dense_tensor;
+  }
+}
+
+void RemoveFeedFetch(framework::ProgramDesc *program_desc) {
+  for (size_t i = 0; i < program_desc->Size(); ++i) {
+    auto *block = program_desc->MutableBlock(i);
+    const auto &all_ops = block->AllOps();
+    size_t op_size = all_ops.size();
+    VLOG(3) << "op_size: " << op_size;
+    for (int i = static_cast<int>(op_size - 1); i >= 0; i--) {
+      auto op = all_ops[i];
+      if (op->Type() == "feed") {
+        VLOG(3) << "remove op type: " << op->Type() << ", index: " << i
+                << ", var name: " << op->Input("X")[0];
+        block->RemoveVar(op->Input("X")[0]);
+        block->RemoveOp(i, i + 1);
+      } else if (op->Type() == "fetch") {
+        VLOG(3) << "remove op type: " << op->Type() << ", index: " << i
+                << ", var name: " << op->Output("Out")[0];
+        block->RemoveVar(op->Output("Out")[0]);
+        block->RemoveOp(i, i + 1);
+      }
+    }
+  }
+}
+
+}  // namespace paddle::jit::utils