// Copyright (c) Microsoft Corporation. All rights reserved.
// Licensed under the MIT License.

#include "core/graph/graph_viewer.h"
#include "core/graph/model.h"
#include "core/optimizer/graph_transformer.h"
#include "core/optimizer/graph_transformer_mgr.h"
#include "test/framework/test_utils.h"
#include "test/test_environment.h"
#include "gtest/gtest.h"
#include "core/optimizer/free_dim_override_transformer.h"
#include "core/session/inference_session.h"
#include "asserts.h"

using namespace std;
using namespace ONNX_NAMESPACE;

namespace onnxruntime {
namespace test {

void TestFreeDimensions(FreeDimensionOverrideType overrideType) {
  auto model_uri = ORT_TSTR("testdata/abs_free_dimensions.onnx");

  std::shared_ptr<Model> model;
  ASSERT_TRUE(Model::Load(model_uri, model, nullptr,
                          DefaultLoggingManager().DefaultLogger())
                  .IsOK());
  Graph& graph = model->MainGraph();

  // The model's input shape has two free dimensions, which have the denotation of DATA_BATCH
  // and DATA_CHANNEL. Supplying these overrides to the transformer should replace those free
  // dimensions with values of 1 and 42, respectively.
  std::vector<FreeDimensionOverride> overrides(2);

  if (overrideType == FreeDimensionOverrideType::Denotation) {
    overrides[0] = FreeDimensionOverride{onnx::DATA_BATCH, overrideType, 1};
    overrides[1] = FreeDimensionOverride{onnx::DATA_CHANNEL, overrideType, 42};
  } else {
    overrides[0] = FreeDimensionOverride{"Dim1", overrideType, 1};
    overrides[1] = FreeDimensionOverride{"Dim2", overrideType, 42};
  };

  auto graph_transformer = std::make_unique<FreeDimensionOverrideTransformer>(overrides);

  onnxruntime::GraphTransformerManager graph_transformation_mgr(5);
  ASSERT_STATUS_OK(graph_transformation_mgr.Register(std::move(graph_transformer), TransformerLevel::Level1));

  ASSERT_STATUS_OK(graph_transformation_mgr.ApplyTransformers(graph, TransformerLevel::Level1,
                                                              DefaultLoggingManager().DefaultLogger()));

  // Verify that the shape of the input graph has the correct values

  const auto& graph_inputs = graph.GetInputs();
  ASSERT_TRUE(graph_inputs.size() == 1);  // This model only has a single input ('x')

  const auto* input_shape = graph_inputs[0]->Shape();
  ASSERT_TRUE(input_shape->dim_size() == 3);  // Model takes a 3D tensor as input; two of those dimensions are (were) free dimensions

  ASSERT_TRUE(input_shape->dim(0).denotation() == onnx::DATA_BATCH);
  ASSERT_TRUE(input_shape->dim(0).has_dim_value());
  ASSERT_TRUE(input_shape->dim(0).dim_value() == 1);

  ASSERT_TRUE(input_shape->dim(1).denotation() == onnx::DATA_CHANNEL);
  ASSERT_TRUE(input_shape->dim(1).has_dim_value());
  ASSERT_TRUE(input_shape->dim(1).dim_value() == 42);

  graph_transformer = std::make_unique<FreeDimensionOverrideTransformer>(overrides);
  bool modified = false;
  ASSERT_TRUE(graph_transformer->Apply(graph, modified,
    DefaultLoggingManager().DefaultLogger()).IsOK());
  ASSERT_FALSE(modified); // no overrides apply anymore
}


TEST(FreeDimensionOverrideDenotationTransformerTest, Test) {
  TestFreeDimensions(FreeDimensionOverrideType::Denotation);
  TestFreeDimensions(FreeDimensionOverrideType::Name);
}
  
}  // namespace test
}  // namespace onnxruntime
