////////////////////////////////////////////////////////////////////////////////
// Copyright (c) 2014-2023, Lawrence Livermore National Security, LLC.
// Produced at the Lawrence Livermore National Laboratory.
// Written by the LBANN Research Team (B. Van Essen, et al.) listed in
// the CONTRIBUTORS file. <lbann-dev@llnl.gov>
//
// LLNL-CODE-697807.
// All rights reserved.
//
// This file is part of LBANN: Livermore Big Artificial Neural Network
// Toolkit. For details, see http://software.llnl.gov/LBANN or
// https://github.com/LLNL/LBANN.
//
// Licensed under the Apache License, Version 2.0 (the "Licensee"); 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.
////////////////////////////////////////////////////////////////////////////////
// MUST include this
#include "Catch2BasicSupport.hpp"

// File being tested
#include "helper.hpp"
#include <lbann/transforms/normalize.hpp>
#include <lbann/transforms/scale.hpp>
#include <lbann/transforms/transform_pipeline.hpp>
#include <lbann/transforms/vision/resized_center_crop.hpp>
#include <lbann/transforms/vision/to_lbann_layout.hpp>
#include <lbann/utils/memory.hpp>

TEST_CASE("Testing vision transform pipeline", "[preproc]")
{
  lbann::transform::transform_pipeline p;
  p.add_transform(
    std::make_unique<lbann::transform::resized_center_crop>(7, 7, 3, 3));
  p.add_transform(std::make_unique<lbann::transform::to_lbann_layout>());
  p.add_transform(std::make_unique<lbann::transform::scale>(2.0f));
  p.add_transform(std::make_unique<lbann::transform::normalize>(
    std::vector<float>({0.5f, 0.5f, 0.5f}),
    std::vector<float>({2.0f, 2.0f, 2.0f})));
  lbann::utils::type_erased_matrix mat =
    lbann::utils::type_erased_matrix(El::Matrix<uint8_t>());
  ones(mat.template get<uint8_t>(), 5, 5, 3);
  std::vector<size_t> dims = {3, 5, 5};

  SECTION("applying the pipeline")
  {
    REQUIRE_NOTHROW(p.apply(mat, dims));

    SECTION("pipeline produces correct dims")
    {
      REQUIRE(dims[0] == 3);
      REQUIRE(dims[1] == 3);
      REQUIRE(dims[2] == 3);
    }
    SECTION("pipeline produces correct type")
    {
      REQUIRE_NOTHROW(mat.template get<lbann::DataType>());
    }
    SECTION("pipeline produces correct values")
    {
      auto& real_mat = mat.template get<lbann::DataType>();
      const lbann::DataType* buf = real_mat.LockedBuffer();
      for (size_t i = 0; i < 3 * 3 * 3; ++i) {
        REQUIRE(buf[i] == Approx(-0.24607843));
      }
    }
  }
}
