cxx11_tensor_generator.cpp File Reference

#include "main.h"
#include <Eigen/CXX11/Tensor>

Classes
struct	Generator1D
struct	Generator2D

Functions
template<int DataLayout>
static void	test_1D ()
template<int DataLayout>
static void	test_2D ()
template<int DataLayout>
static void	test_gaussian ()
	EIGEN_DECLARE_TEST (cxx11_tensor_generator)

Function Documentation

EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST

(

cxx11_tensor_generator

)

                                           {
  CALL_SUBTEST(test_1D<ColMajor>());
  CALL_SUBTEST(test_1D<RowMajor>());
  CALL_SUBTEST(test_2D<ColMajor>());
  CALL_SUBTEST(test_2D<RowMajor>());
  CALL_SUBTEST(test_gaussian<ColMajor>());
  CALL_SUBTEST(test_gaussian<RowMajor>());
}

References CALL_SUBTEST.

test_1D()

template<int DataLayout>

static void test_1D ( )

static

                      {
  Tensor<float, 1> vec(6);
  Tensor<float, 1> result = vec.generate(Generator1D());
 
  for (int i = 0; i < 6; ++i) {
    VERIFY_IS_EQUAL(result(i), i);
  }
}

References i, and VERIFY_IS_EQUAL.

test_2D()

template<int DataLayout>

static void test_2D ( )

static

                      {
  Tensor<float, 2> matrix(512, 512);
  Tensor<float, 2> result = matrix.generate(Generator2D());
 
  for (int i = 0; i < 512; ++i) {
    for (int j = 0; j < 512; ++j) {
      VERIFY_IS_EQUAL(result(i, j), 3 * i + 11 * j);
    }
  }
}

References i, j, matrix(), and VERIFY_IS_EQUAL.

test_gaussian()

template<int DataLayout>

static void test_gaussian ( )

static

                            {
  int rows = 32;
  int cols = 48;
  array<float, 2> means;
  means[0] = rows / 2.0f;
  means[1] = cols / 2.0f;
  array<float, 2> std_devs;
  std_devs[0] = 3.14f;
  std_devs[1] = 2.7f;
  internal::GaussianGenerator<float, Eigen::DenseIndex, 2> gaussian_gen(means, std_devs);
 
  Tensor<float, 2> matrix(rows, cols);
  Tensor<float, 2> result = matrix.generate(gaussian_gen);
 
  for (int i = 0; i < rows; ++i) {
    for (int j = 0; j < cols; ++j) {
      float g_rows = powf(rows / 2.0f - i, 2) / (3.14f * 3.14f) * 0.5f;
      float g_cols = powf(cols / 2.0f - j, 2) / (2.7f * 2.7f) * 0.5f;
      float gaussian = expf(-g_rows - g_cols);
      VERIFY_IS_EQUAL(result(i, j), gaussian);
    }
  }
}

References cols, i, j, matrix(), rows, and VERIFY_IS_EQUAL.