text: #include <vector>
  
  #include "gtest/gtest.h"
  
  #include "caffe/blob.hpp"
  #include "caffe/common.hpp"
  #include "caffe/filler.hpp"
  #include "caffe/layers/reshape_layer.hpp"
  
  #include "caffe/test/test_caffe_main.hpp"
  #include "caffe/test/test_gradient_check_util.hpp"
  
  namespace caffe {
  
  template <typename TypeParam>
  class ReshapeLayerTest : public MultiDeviceTest<TypeParam> {
    typedef typename TypeParam::Dtype Dtype;
   protected:
    ReshapeLayerTest()
      : blob_bottom_(new Blob<Dtype>(2, 3, 6, 5)),
        blob_top_(new Blob<Dtype>()) {
      // fill the values
      FillerParameter filler_param;
      GaussianFiller<Dtype> filler(filler_param);
      filler.Fill(this->blob_bottom_);
      blob_bottom_vec_.push_back(blob_bottom_);
      blob_top_vec_.push_back(blob_top_);
    }
  
    virtual ~ReshapeLayerTest() { delete blob_bottom_; delete blob_top_; }
  
    Blob<Dtype>* const blob_bottom_;
    Blob<Dtype>* const blob_top_;
    vector<Blob<Dtype>*> blob_bottom_vec_;
    vector<Blob<Dtype>*> blob_top_vec_;
  };
  
  TYPED_TEST_CASE(ReshapeLayerTest, TestDtypesAndDevices);
  
  TYPED_TEST(ReshapeLayerTest, TestFlattenOutputSizes) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(0);
    blob_shape->add_dim(-1);
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
    EXPECT_EQ(this->blob_top_->num(), 2);
    EXPECT_EQ(this->blob_top_->channels(), 3 * 6 * 5);
    EXPECT_EQ(this->blob_top_->length(), 1);
    EXPECT_EQ(this->blob_top_->height(), 1);
    EXPECT_EQ(this->blob_top_->width(), 1);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestFlattenValues) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(0);
    blob_shape->add_dim(-1);
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
    layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
    for (int c = 0; c < 3 * 6 * 5; ++c) {
      EXPECT_EQ(this->blob_top_->data_at(0, c, 0, 0),
          this->blob_bottom_->data_at(0, c / (6 * 5), (c / 5) % 6, c % 5));
      EXPECT_EQ(this->blob_top_->data_at(1, c, 0, 0),
          this->blob_bottom_->data_at(1, c / (6 * 5), (c / 5) % 6, c % 5));
    }
  }
  
  // Test whether setting output dimensions to 0 either explicitly or implicitly
  // copies the respective dimension of the input layer.
  TYPED_TEST(ReshapeLayerTest, TestCopyDimensions) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(0);
    blob_shape->add_dim(0);
    blob_shape->add_dim(0);
    blob_shape->add_dim(0);
    blob_shape->add_dim(0);
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    EXPECT_EQ(this->blob_top_->num(), 2);
    EXPECT_EQ(this->blob_top_->channels(), 3);
    EXPECT_EQ(this->blob_top_->length(), 1);
    EXPECT_EQ(this->blob_top_->height(), 6);
    EXPECT_EQ(this->blob_top_->width(), 5);
  }
  
  // When a dimension is set to -1, we should infer its value from the other
  // dimensions (including those that get copied from below).
  TYPED_TEST(ReshapeLayerTest, TestInferenceOfUnspecified) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(0);
    blob_shape->add_dim(3);
    blob_shape->add_dim(10);
    blob_shape->add_dim(-1);
  
    // Count is 180, thus height should be 180 / (2*3*10) = 3.
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    EXPECT_EQ(this->blob_top_->num(), 2);
    EXPECT_EQ(this->blob_top_->channels(), 3);
    EXPECT_EQ(this->blob_top_->height(), 10);
    EXPECT_EQ(this->blob_top_->width(), 3);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestInferenceOfUnspecifiedWithStartAxis) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    layer_param.mutable_reshape_param()->set_axis(1);
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(3);
    blob_shape->add_dim(10);
    blob_shape->add_dim(-1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    ASSERT_EQ(this->blob_top_->num_axes(), 4);
    EXPECT_EQ(this->blob_top_->num(), 2);
    EXPECT_EQ(this->blob_top_->channels(), 3);
    EXPECT_EQ(this->blob_top_->height(), 10);
    EXPECT_EQ(this->blob_top_->width(), 3);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestInsertSingletonAxesStart) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    layer_param.mutable_reshape_param()->set_axis(0);
    layer_param.mutable_reshape_param()->set_num_axes(0);
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    ASSERT_EQ(this->blob_top_->num_axes(), 8);
    EXPECT_EQ(this->blob_top_->shape(0), 1);
    EXPECT_EQ(this->blob_top_->shape(1), 1);
    EXPECT_EQ(this->blob_top_->shape(2), 1);
    EXPECT_EQ(this->blob_top_->shape(3), 2);
    EXPECT_EQ(this->blob_top_->shape(4), 3);
    EXPECT_EQ(this->blob_top_->shape(5), 1);
    EXPECT_EQ(this->blob_top_->shape(6), 6);
    EXPECT_EQ(this->blob_top_->shape(7), 5);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestInsertSingletonAxesMiddle) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    layer_param.mutable_reshape_param()->set_axis(2);
    layer_param.mutable_reshape_param()->set_num_axes(0);
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    ASSERT_EQ(this->blob_top_->num_axes(), 8);
    EXPECT_EQ(this->blob_top_->shape(0), 2);
    EXPECT_EQ(this->blob_top_->shape(1), 3);
    EXPECT_EQ(this->blob_top_->shape(2), 1);
    EXPECT_EQ(this->blob_top_->shape(3), 1);
    EXPECT_EQ(this->blob_top_->shape(4), 1);
    EXPECT_EQ(this->blob_top_->shape(5), 1);
    EXPECT_EQ(this->blob_top_->shape(6), 6);
    EXPECT_EQ(this->blob_top_->shape(7), 5);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestInsertSingletonAxesEnd) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    layer_param.mutable_reshape_param()->set_axis(-1);
    layer_param.mutable_reshape_param()->set_num_axes(0);
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
    blob_shape->add_dim(1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    ASSERT_EQ(this->blob_top_->num_axes(), 8);
    EXPECT_EQ(this->blob_top_->shape(0), 2);
    EXPECT_EQ(this->blob_top_->shape(1), 3);
    EXPECT_EQ(this->blob_top_->shape(2), 1);
    EXPECT_EQ(this->blob_top_->shape(3), 6);
    EXPECT_EQ(this->blob_top_->shape(4), 5);
    EXPECT_EQ(this->blob_top_->shape(5), 1);
    EXPECT_EQ(this->blob_top_->shape(6), 1);
    EXPECT_EQ(this->blob_top_->shape(7), 1);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestFlattenMiddle) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    layer_param.mutable_reshape_param()->set_axis(1);
    layer_param.mutable_reshape_param()->set_num_axes(2);
    BlobShape* blob_shape = layer_param.mutable_reshape_param()->mutable_shape();
    blob_shape->add_dim(-1);
  
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
  
    ASSERT_EQ(this->blob_top_->num_axes(), 4);
    EXPECT_EQ(this->blob_top_->shape(0), 2);
    EXPECT_EQ(this->blob_top_->shape(1), 3 * 1);
    EXPECT_EQ(this->blob_top_->shape(2), 6);
    EXPECT_EQ(this->blob_top_->shape(3), 5);
  }
  
  TYPED_TEST(ReshapeLayerTest, TestForward) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* shape = layer_param.mutable_reshape_param()->mutable_shape();
    shape->add_dim(6);
    shape->add_dim(2);
    shape->add_dim(3);
    shape->add_dim(5);
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
    layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
    for (int i = 0; i < this->blob_bottom_->count(); ++i) {
      EXPECT_EQ(this->blob_top_->cpu_data()[i],
                this->blob_bottom_->cpu_data()[i]);
    }
  }
  
  TYPED_TEST(ReshapeLayerTest, TestForwardAfterReshape) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* shape = layer_param.mutable_reshape_param()->mutable_shape();
    shape->add_dim(6);
    shape->add_dim(2);
    shape->add_dim(3);
    shape->add_dim(5);
    ReshapeLayer<Dtype> layer(layer_param);
    layer.SetUp(this->blob_bottom_vec_, this->blob_top_vec_);
    layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
    // We know the above produced the correct result from TestForward.
    // Reshape the bottom and call layer.Reshape, then try again.
    vector<int> new_bottom_shape(1, 2 * 3 * 6 * 5);
    this->blob_bottom_->Reshape(new_bottom_shape);
    layer.Reshape(this->blob_bottom_vec_, this->blob_top_vec_);
    FillerParameter filler_param;
    GaussianFiller<Dtype> filler(filler_param);
    filler.Fill(this->blob_bottom_);
    layer.Forward(this->blob_bottom_vec_, this->blob_top_vec_);
    for (int i = 0; i < this->blob_bottom_->count(); ++i) {
      EXPECT_EQ(this->blob_top_->cpu_data()[i],
                this->blob_bottom_->cpu_data()[i]);
    }
  }
  
  TYPED_TEST(ReshapeLayerTest, TestGradient) {
    typedef typename TypeParam::Dtype Dtype;
    LayerParameter layer_param;
    BlobShape* shape = layer_param.mutable_reshape_param()->mutable_shape();
    shape->add_dim(6);
    shape->add_dim(2);
    shape->add_dim(3);
    shape->add_dim(5);
    ReshapeLayer<Dtype> layer(layer_param);
    GradientChecker<Dtype> checker(1e-2, 1e-2);
    checker.CheckGradientEltwise(&layer, this->blob_bottom_vec_,
        this->blob_top_vec_);
  }
  
  }  // namespace caffe
  