infermeta_utils.cc

/* 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/phi/core/infermeta_utils.h"

namespace phi {

void InferMetaContext::SetMetaConfig(MetaConfig config) {
  config_ = std::move(config);
}

void InferMetaContext::EmplaceBackInput(MetaTensor input) {
  int index = inputs_.size();
  inputs_.emplace_back(std::move(input));
  input_range_.emplace_back(std::pair<int, int>(index, index + 1));
}
void InferMetaContext::EmplaceBackOutput(MetaTensor output) {
  int index = outputs_.size();
  outputs_.emplace_back(std::move(output));
  output_range_.emplace_back(std::pair<int, int>(index, index + 1));
}
void InferMetaContext::EmplaceBackAttr(paddle::any attr) {
  attrs_.emplace_back(std::move(attr));
}

void InferMetaContext::EmplaceBackInputs(
    paddle::SmallVector<MetaTensor, phi::kInputSmallVectorSize> inputs) {
  int index = inputs_.size();
  input_range_.emplace_back(std::pair<int, int>(index, index + inputs.size()));
  inputs_.insert(inputs_.end(),
                 std::make_move_iterator(inputs.begin()),
                 std::make_move_iterator(inputs.end()));
}
void InferMetaContext::EmplaceBackOutputs(
    paddle::SmallVector<MetaTensor, phi::kOutputSmallVectorSize> outputs) {
  int index = outputs_.size();
  output_range_.emplace_back(
      std::pair<int, int>(index, index + outputs.size()));
  outputs_.insert(outputs_.end(),
                  std::make_move_iterator(outputs.begin()),
                  std::make_move_iterator(outputs.end()));
}

const std::pair<int, int>& InferMetaContext::InputRangeAt(size_t idx) const {
  return input_range_.at(idx);
}
const std::pair<int, int>& InferMetaContext::OutputRangeAt(size_t idx) const {
  return output_range_.at(idx);
}

const MetaConfig& InferMetaContext::GetMetaConfig() const { return config_; }

const MetaTensor& InferMetaContext::InputAt(size_t idx) const {
  return inputs_.at(idx);
}

paddle::optional<const MetaTensor&> InferMetaContext::OptionalInputAt(
    size_t idx) const {
  const auto& input = inputs_.at(idx);
  return input.initialized()
             ? paddle::optional<const MetaTensor&>{input}
             : paddle::optional<const MetaTensor&>{paddle::none};
}

std::vector<const MetaTensor*> InferMetaContext::InputsBetween(
    size_t start, size_t end) const {
  std::vector<const MetaTensor*> result;
  result.reserve(end - start);

  for (size_t i = start; i < end; ++i) {
    auto& in = inputs_.at(i);
    result.emplace_back(in.initialized() ? &in : nullptr);
  }

  return result;
}

paddle::optional<const std::vector<const MetaTensor*>>
InferMetaContext::OptionalInputsBetween(size_t start, size_t end) const {
  const auto& first = inputs_.at(start);

  if (first.initialized()) {
    std::vector<const MetaTensor*> result;
    result.reserve(end - start);

    for (size_t i = start; i < end; ++i) {
      auto& in = inputs_.at(i);
      result.emplace_back(in.initialized() ? &in : nullptr);
    }

    return paddle::optional<const std::vector<const MetaTensor*>>(result);
  }
  return paddle::optional<const std::vector<const MetaTensor*>>(paddle::none);
}

MetaTensor* InferMetaContext::MutableOutputAt(size_t idx) {
  auto& out = outputs_.at(idx);
  return out.initialized() ? &out : nullptr;
}

std::vector<MetaTensor*> InferMetaContext::MutableOutputBetween(size_t start,
                                                                size_t end) {
  std::vector<MetaTensor*> result;
  result.reserve(end - start);
  for (size_t i = start; i < end; ++i) {
    auto& out = outputs_.at(i);
    result.emplace_back(out.initialized() ? &out : nullptr);
  }
  return result;
}

MetaFnFactory& MetaFnFactory::Instance() {
  static MetaFnFactory g_meta_fn_map;
  return g_meta_fn_map;
}

}  // namespace phi