cxx11_tensor_shuffling.cpp File Reference

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

Functions
template<int DataLayout>
static void	test_simple_shuffling ()
template<int DataLayout>
static void	test_expr_shuffling ()
template<int DataLayout>
static void	test_shuffling_as_value ()
template<int DataLayout>
static void	test_shuffle_unshuffle ()
template<int DataLayout>
static void	test_empty_shuffling ()
	EIGEN_DECLARE_TEST (cxx11_tensor_shuffling)

Function Documentation

EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST

(

cxx11_tensor_shuffling

)

                                           {
  CALL_SUBTEST(test_simple_shuffling<ColMajor>());
  CALL_SUBTEST(test_simple_shuffling<RowMajor>());
  CALL_SUBTEST(test_expr_shuffling<ColMajor>());
  CALL_SUBTEST(test_expr_shuffling<RowMajor>());
  CALL_SUBTEST(test_shuffling_as_value<ColMajor>());
  CALL_SUBTEST(test_shuffling_as_value<RowMajor>());
  CALL_SUBTEST(test_shuffle_unshuffle<ColMajor>());
  CALL_SUBTEST(test_shuffle_unshuffle<RowMajor>());
  CALL_SUBTEST(test_empty_shuffling<ColMajor>());
  CALL_SUBTEST(test_empty_shuffling<RowMajor>());
}

References CALL_SUBTEST.

test_empty_shuffling()

template<int DataLayout>

static void test_empty_shuffling ( )

static

                                   {
  Tensor<float, 4, DataLayout> tensor(2, 3, 0, 7);
  tensor.setRandom();
  array<ptrdiff_t, 4> shuffles;
  shuffles[0] = 0;
  shuffles[1] = 1;
  shuffles[2] = 2;
  shuffles[3] = 3;
 
  Tensor<float, 4, DataLayout> no_shuffle;
  no_shuffle = tensor.shuffle(shuffles);
 
  VERIFY_IS_EQUAL(no_shuffle.dimension(0), 2);
  VERIFY_IS_EQUAL(no_shuffle.dimension(1), 3);
  VERIFY_IS_EQUAL(no_shuffle.dimension(2), 0);
  VERIFY_IS_EQUAL(no_shuffle.dimension(3), 7);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 0; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), no_shuffle(i, j, k, l));
        }
      }
    }
  }
 
  shuffles[0] = 2;
  shuffles[1] = 3;
  shuffles[2] = 1;
  shuffles[3] = 0;
  Tensor<float, 4, DataLayout> shuffle;
  shuffle = tensor.shuffle(shuffles);
 
  VERIFY_IS_EQUAL(shuffle.dimension(0), 0);
  VERIFY_IS_EQUAL(shuffle.dimension(1), 7);
  VERIFY_IS_EQUAL(shuffle.dimension(2), 3);
  VERIFY_IS_EQUAL(shuffle.dimension(3), 2);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 0; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
        }
      }
    }
  }
}

References Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::dimension(), i, j, k, Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::internal::shuffle(), Eigen::TensorBase< Derived, AccessLevel >::shuffle(), and VERIFY_IS_EQUAL.

test_expr_shuffling()

template<int DataLayout>

static void test_expr_shuffling ( )

static

                                  {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  array<ptrdiff_t, 4> shuffles;
  shuffles[0] = 2;
  shuffles[1] = 3;
  shuffles[2] = 1;
  shuffles[3] = 0;
  Tensor<float, 4, DataLayout> expected;
  expected = tensor.shuffle(shuffles);
 
  Tensor<float, 4, DataLayout> result(5, 7, 3, 2);
 
  array<ptrdiff_t, 4> src_slice_dim{{2, 3, 1, 7}};
  array<ptrdiff_t, 4> src_slice_start{{0, 0, 0, 0}};
  array<ptrdiff_t, 4> dst_slice_dim{{1, 7, 3, 2}};
  array<ptrdiff_t, 4> dst_slice_start{{0, 0, 0, 0}};
 
  for (int i = 0; i < 5; ++i) {
    result.slice(dst_slice_start, dst_slice_dim) = tensor.slice(src_slice_start, src_slice_dim).shuffle(shuffles);
    src_slice_start[2] += 1;
    dst_slice_start[0] += 1;
  }
 
  VERIFY_IS_EQUAL(result.dimension(0), 5);
  VERIFY_IS_EQUAL(result.dimension(1), 7);
  VERIFY_IS_EQUAL(result.dimension(2), 3);
  VERIFY_IS_EQUAL(result.dimension(3), 2);
 
  for (int i = 0; i < expected.dimension(0); ++i) {
    for (int j = 0; j < expected.dimension(1); ++j) {
      for (int k = 0; k < expected.dimension(2); ++k) {
        for (int l = 0; l < expected.dimension(3); ++l) {
          VERIFY_IS_EQUAL(result(i, j, k, l), expected(i, j, k, l));
        }
      }
    }
  }
 
  dst_slice_start[0] = 0;
  result.setRandom();
  for (int i = 0; i < 5; ++i) {
    result.slice(dst_slice_start, dst_slice_dim) = tensor.shuffle(shuffles).slice(dst_slice_start, dst_slice_dim);
    dst_slice_start[0] += 1;
  }
 
  for (int i = 0; i < expected.dimension(0); ++i) {
    for (int j = 0; j < expected.dimension(1); ++j) {
      for (int k = 0; k < expected.dimension(2); ++k) {
        for (int l = 0; l < expected.dimension(3); ++l) {
          VERIFY_IS_EQUAL(result(i, j, k, l), expected(i, j, k, l));
        }
      }
    }
  }
}

References Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::dimension(), i, j, k, Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::TensorBase< Derived, AccessLevel >::shuffle(), Eigen::TensorBase< Derived, AccessLevel >::slice(), and VERIFY_IS_EQUAL.

test_shuffle_unshuffle()

template<int DataLayout>

static void test_shuffle_unshuffle ( )

static

                                     {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  // Choose a random permutation.
  array<ptrdiff_t, 4> shuffles;
  for (int i = 0; i < 4; ++i) {
    shuffles[i] = i;
  }
  array<ptrdiff_t, 4> shuffles_inverse;
  for (int i = 0; i < 4; ++i) {
    const ptrdiff_t index = internal::random<ptrdiff_t>(i, 3);
    shuffles_inverse[shuffles[index]] = i;
    std::swap(shuffles[i], shuffles[index]);
  }
 
  Tensor<float, 4, DataLayout> shuffle;
  shuffle = tensor.shuffle(shuffles).shuffle(shuffles_inverse);
 
  VERIFY_IS_EQUAL(shuffle.dimension(0), 2);
  VERIFY_IS_EQUAL(shuffle.dimension(1), 3);
  VERIFY_IS_EQUAL(shuffle.dimension(2), 5);
  VERIFY_IS_EQUAL(shuffle.dimension(3), 7);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 5; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(i, j, k, l));
        }
      }
    }
  }
}

References i, j, k, Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::internal::shuffle(), Eigen::TensorBase< Derived, AccessLevel >::shuffle(), swap(), and VERIFY_IS_EQUAL.

test_shuffling_as_value()

template<int DataLayout>

static void test_shuffling_as_value ( )

static

                                      {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
  array<ptrdiff_t, 4> shuffles;
  shuffles[2] = 0;
  shuffles[3] = 1;
  shuffles[1] = 2;
  shuffles[0] = 3;
  Tensor<float, 4, DataLayout> shuffle(5, 7, 3, 2);
  shuffle.shuffle(shuffles) = tensor;
 
  VERIFY_IS_EQUAL(shuffle.dimension(0), 5);
  VERIFY_IS_EQUAL(shuffle.dimension(1), 7);
  VERIFY_IS_EQUAL(shuffle.dimension(2), 3);
  VERIFY_IS_EQUAL(shuffle.dimension(3), 2);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 5; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
        }
      }
    }
  }
 
  array<ptrdiff_t, 4> no_shuffle;
  no_shuffle[0] = 0;
  no_shuffle[1] = 1;
  no_shuffle[2] = 2;
  no_shuffle[3] = 3;
  Tensor<float, 4, DataLayout> shuffle2(5, 7, 3, 2);
  shuffle2.shuffle(shuffles) = tensor.shuffle(no_shuffle);
  for (int i = 0; i < 5; ++i) {
    for (int j = 0; j < 7; ++j) {
      for (int k = 0; k < 3; ++k) {
        for (int l = 0; l < 2; ++l) {
          VERIFY_IS_EQUAL(shuffle2(i, j, k, l), shuffle(i, j, k, l));
        }
      }
    }
  }
}

References i, j, k, Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::internal::shuffle(), Eigen::TensorBase< Derived, AccessLevel >::shuffle(), Eigen::internal::shuffle2(), and VERIFY_IS_EQUAL.

test_simple_shuffling()

template<int DataLayout>

static void test_simple_shuffling ( )

static

                                    {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
  array<ptrdiff_t, 4> shuffles;
  shuffles[0] = 0;
  shuffles[1] = 1;
  shuffles[2] = 2;
  shuffles[3] = 3;
 
  Tensor<float, 4, DataLayout> no_shuffle;
  no_shuffle = tensor.shuffle(shuffles);
 
  VERIFY_IS_EQUAL(no_shuffle.dimension(0), 2);
  VERIFY_IS_EQUAL(no_shuffle.dimension(1), 3);
  VERIFY_IS_EQUAL(no_shuffle.dimension(2), 5);
  VERIFY_IS_EQUAL(no_shuffle.dimension(3), 7);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 5; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), no_shuffle(i, j, k, l));
        }
      }
    }
  }
 
  shuffles[0] = 2;
  shuffles[1] = 3;
  shuffles[2] = 1;
  shuffles[3] = 0;
  Tensor<float, 4, DataLayout> shuffle;
  shuffle = tensor.shuffle(shuffles);
 
  VERIFY_IS_EQUAL(shuffle.dimension(0), 5);
  VERIFY_IS_EQUAL(shuffle.dimension(1), 7);
  VERIFY_IS_EQUAL(shuffle.dimension(2), 3);
  VERIFY_IS_EQUAL(shuffle.dimension(3), 2);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 3; ++j) {
      for (int k = 0; k < 5; ++k) {
        for (int l = 0; l < 7; ++l) {
          VERIFY_IS_EQUAL(tensor(i, j, k, l), shuffle(k, l, j, i));
        }
      }
    }
  }
}

References Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::dimension(), i, j, k, Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::internal::shuffle(), Eigen::TensorBase< Derived, AccessLevel >::shuffle(), and VERIFY_IS_EQUAL.