// 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 <gtest/gtest.h>

#include <iostream>
#include <vector>

#include "llvm/Support/raw_ostream.h"
#include "paddle/infrt/api/infrt_api.h"
#include "paddle/infrt/backends/host/phi_allocator.h"
#include "paddle/infrt/common/buffer.h"
#include "paddle/infrt/common/dtype.h"

using infrt::InfRtConfig;
using infrt::InfRtPredictor;
using infrt::CreateInfRtPredictor;

namespace infrt {

TEST(InfRtPredictor, predictor) {
  std::vector<std::string> shared_libs;

  InfRtConfig config;

  config.set_model_dir("@CMAKE_BINARY_DIR@/linear/linear.pdmodel");
  config.set_param_dir("@CMAKE_BINARY_DIR@/linear/linear.pdiparams");

  std::unique_ptr<InfRtPredictor> predictor = CreateInfRtPredictor(config);

  ::infrt::backends::CpuPhiAllocator cpu_allocator;
  ::phi::DenseTensor* input = predictor->GetInput(0);
  input->Resize({16, 784});
  input->AllocateFrom(&cpu_allocator, ::phi::DataType::FLOAT32);
  auto* input_data = reinterpret_cast<float*>(input->data());
  for (int i = 0; i < input->numel(); i++) input_data[i] = 1.0;

  predictor->Run();

  // get and print output tensor
  auto* output = predictor->GetOutput(0);

  // TODO(Shixiaowei02): Automatic result validation for training then inference.
  // auto* output_data = reinterpret_cast<float*>(output->data());

  ASSERT_EQ(output->dims(), ::phi::DDim({16, 10}));
}

#ifdef INFRT_WITH_TRT
TEST(InfRtPredictor, trt_predictor) {
  std::vector<std::string> shared_libs;

  InfRtConfig config;
  config.enable_tensorrt();

  config.set_model_dir("@CMAKE_BINARY_DIR@/models/resnet50/model.pdmodel");
  config.set_param_dir("@CMAKE_BINARY_DIR@/models/resnet50/model.pdiparams");

  std::unique_ptr<InfRtPredictor> predictor = CreateInfRtPredictor(config);

  ::infrt::backends::CpuPhiAllocator cpu_allocator;
  ::phi::DenseTensor* input = predictor->GetInput(0);
  input->Resize({2, 3, 256, 256});
  input->AllocateFrom(&cpu_allocator, ::phi::DataType::FLOAT32);
  auto* input_data = reinterpret_cast<float*>(input->data());
  for (int i = 0; i < input->numel(); i++) input_data[i] = 1.0;
  predictor->Run();

  // get and print output tensor
  auto* output = predictor->GetOutput(0);

  ASSERT_EQ(output->dims(), ::phi::DDim({2, 1000}));
  const std::vector<float> true_vals {
    -3.319006264209747314e-01, -1.418896913528442383e+00,
        -6.934890151023864746e-01, -1.498023152351379395e+00,
        3.078042864799499512e-01, -1.340998053550720215e+00,
        3.508620023727416992e+00, 2.274388313293457031e+00,
        -1.321727275848388672e+00, -8.888689428567886353e-02,
        -3.319006264209747314e-01, -1.418896913528442383e+00,
        -6.934890151023864746e-01, -1.498023152351379395e+00,
        3.078042864799499512e-01, -1.340998053550720215e+00,
        3.508620023727416992e+00, 2.274388313293457031e+00,
        -1.321727275848388672e+00, -8.888689428567886353e-02
  };

  for (size_t i = 0; i < true_vals.size(); i+=100) {
    CHECK_NEAR(output->data<float>()[i*100], true_vals[i], 1e-5);
  }
}
#endif

}  // namespace infrt