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// Copyright 2018-2022, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
//
// Redistribution and use in source and binary forms, with or without
// modification, are permitted provided that the following conditions
// are met:
//  * Redistributions of source code must retain the above copyright
//    notice, this list of conditions and the following disclaimer.
//  * Redistributions in binary form must reproduce the above copyright
//    notice, this list of conditions and the following disclaimer in the
//    documentation and/or other materials provided with the distribution.
//  * Neither the name of NVIDIA CORPORATION nor the names of its
//    contributors may be used to endorse or promote products derived
//    from this software without specific prior written permission.
//
// THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
// EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
// IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
// PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
// CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
// EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
// PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
// PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY
// OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
// (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
// OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

#include "model.h"

#include <chrono>
#include <future>
#include "constants.h"
#include "filesystem.h"
#include "infer_request.h"
#include "model_config_utils.h"
#include "triton/common/logging.h"

namespace triton { namespace core {

Status
Model::GetInput(
    const std::string& name, const inference::ModelInput** input) const
{
  const auto itr = input_map_.find(name);
  if (itr == input_map_.end()) {
    return Status(
        Status::Code::INVALID_ARG,
        "unexpected inference input '" + name + "' for model '" + Name() + "'");
  }

  *input = &itr->second;
  return Status::Success;
}

Status
Model::GetOutput(
    const std::string& name, const inference::ModelOutput** output) const
{
  const auto itr = output_map_.find(name);
  if (itr == output_map_.end()) {
    return Status(
        Status::Code::INVALID_ARG, "unexpected inference output '" + name +
                                       "' for model '" + Name() + "'");
  }

  *output = &itr->second;
  return Status::Success;
}

Status
Model::SetModelConfig(const inference::ModelConfig& config)
{
  config_ = config;
  set_model_config_ = true;

  return Status::Success;
}

Status
Model::SetScheduler(std::unique_ptr<Scheduler> scheduler)
{
  if (scheduler_ != nullptr) {
    return Status(
        Status::Code::INTERNAL, "Attempt to change scheduler not allowed");
  }

  scheduler_ = std::move(scheduler);
  return Status::Success;
}

Status
Model::Init(const bool is_config_provided)
{
  if (!set_model_config_ && !is_config_provided) {
    return Status(
        Status::Code::NOT_FOUND,
        "model configuration is not provided for model '" + Name() + "'");
  }

  RETURN_IF_ERROR(ValidateModelConfig(config_, min_compute_capability_));
  RETURN_IF_ERROR(ValidateModelIOConfig(config_));

  // Initialize the input map
  for (const auto& io : config_.input()) {
    input_map_.insert(std::make_pair(io.name(), io));
    if (!io.optional()) {
      ++required_input_count_;
    }
  }

  // Initialize the output map and label provider for each output
  label_provider_ = std::make_shared<LabelProvider>();
  for (const auto& io : config_.output()) {
    output_map_.insert(std::make_pair(io.name(), io));

    if (!io.label_filename().empty()) {
      const auto label_path = JoinPath({model_dir_, io.label_filename()});
      RETURN_IF_ERROR(label_provider_->AddLabels(io.name(), label_path));
    }
  }

  if (config_.has_dynamic_batching()) {
    default_priority_level_ =
        config_.dynamic_batching().default_priority_level();
    max_priority_level_ = config_.dynamic_batching().priority_levels();
  } else if (config_.has_ensemble_scheduling()) {
    // For ensemble, allow any priority level to pass through
    default_priority_level_ = 0;
    max_priority_level_ = UINT32_MAX;
  } else {
    default_priority_level_ = 0;
    max_priority_level_ = 0;
  }

  return Status::Success;
}

}}  // namespace triton::core