tensor_utils.cc 2.3 KB
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// Copyright (c) 2021 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/eager/api/utils/tensor_utils.h"
#include "paddle/fluid/eager/accumulation/accumulation_node.h"
#include "paddle/fluid/eager/api/utils/global_utils.h"
#include "paddle/fluid/eager/autograd_meta.h"
#include "paddle/fluid/eager/grad_node_info.h"
#include "paddle/fluid/eager/utils.h"

#include "paddle/pten/api/all.h"

#include "paddle/fluid/framework/data_layout.h"
#include "paddle/fluid/framework/pten_utils.h"
#include "paddle/fluid/framework/variable.h"

namespace egr {
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namespace egr_utils_api {
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bool IsLeafTensor(const egr::EagerTensor& target) {
  std::shared_ptr<GradNodeBase> grad_node = EagerUtils::grad_node(target);
  if (std::dynamic_pointer_cast<GradNodeAccumulation>(grad_node)) {
    return true;
  }

  return false;
}

egr::EagerTensor CreateTensorWithValue(const pten::DDim& ddim,
                                       const paddle::platform::Place& place,
                                       const pten::DataType& dtype,
                                       const pten::DataLayout& layout,
                                       float value, bool is_leaf) {
  paddle::experimental::Tensor tensor = paddle::experimental::full(
      paddle::framework::vectorize(ddim), paddle::experimental::Scalar(value),
      dtype, pten::TransToPtenBackend(place), layout);

  egr::EagerTensor out = egr::EagerTensor();
  out.set_tensor(std::make_shared<paddle::experimental::Tensor>(tensor));
  auto meta = EagerUtils::autograd_meta(&out);

  if (is_leaf) {
    auto accumulation_node = std::make_shared<GradNodeAccumulation>();
    meta->SetGradNode(accumulation_node);
    meta->SetStopGradient(false);
  }

  return out;
}

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}  // namespace egr_utils_api
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}  // namespace egr