cxx11_tensor_roll.cpp File Reference

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

Functions
template<int DataLayout>
static void	test_simple_roll ()
template<int DataLayout>
static void	test_expr_roll (bool LValue)
	EIGEN_DECLARE_TEST (cxx11_tensor_roll)

Function Documentation

EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST

(

cxx11_tensor_roll

)

                                      {
  CALL_SUBTEST(test_simple_roll<ColMajor>());
  CALL_SUBTEST(test_simple_roll<RowMajor>());
  CALL_SUBTEST(test_expr_roll<ColMajor>(true));
  CALL_SUBTEST(test_expr_roll<RowMajor>(true));
  CALL_SUBTEST(test_expr_roll<ColMajor>(false));
  CALL_SUBTEST(test_expr_roll<RowMajor>(false));
}

References CALL_SUBTEST.

test_expr_roll()

template<int DataLayout>

static void test_expr_roll ( bool  LValue )

static

                                        {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  array<bool, 4> dim_roll;
  dim_roll[0] = 2;
  dim_roll[1] = 1;
  dim_roll[2] = 0;
  dim_roll[3] = 3;
 
  Tensor<float, 4, DataLayout> expected(tensor.dimensions());
  if (LValue) {
    expected.roll(dim_roll) = tensor;
  } else {
    expected = tensor.roll(dim_roll);
  }
 
  Tensor<float, 4, DataLayout> result(tensor.dimensions());
 
  array<ptrdiff_t, 4> src_slice_dim;
  src_slice_dim[0] = tensor.dimension(0);
  src_slice_dim[1] = tensor.dimension(1);
  src_slice_dim[2] = 1;
  src_slice_dim[3] = tensor.dimension(3);
  array<ptrdiff_t, 4> src_slice_start;
  src_slice_start[0] = 0;
  src_slice_start[1] = 0;
  src_slice_start[2] = 0;
  src_slice_start[3] = 0;
  array<ptrdiff_t, 4> dst_slice_dim = src_slice_dim;
  array<ptrdiff_t, 4> dst_slice_start = src_slice_start;
 
  for (int i = 0; i < tensor.dimension(2); ++i) {
    if (LValue) {
      result.slice(dst_slice_start, dst_slice_dim).roll(dim_roll) = tensor.slice(src_slice_start, src_slice_dim);
    } else {
      result.slice(dst_slice_start, dst_slice_dim) = tensor.slice(src_slice_start, src_slice_dim).roll(dim_roll);
    }
    src_slice_start[2] += 1;
    dst_slice_start[2] += 1;
  }
 
  VERIFY_IS_EQUAL(result.dimension(0), tensor.dimension(0));
  VERIFY_IS_EQUAL(result.dimension(1), tensor.dimension(1));
  VERIFY_IS_EQUAL(result.dimension(2), tensor.dimension(2));
  VERIFY_IS_EQUAL(result.dimension(3), tensor.dimension(3));
 
  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[2] = 0;
  result.setRandom();
  for (int i = 0; i < tensor.dimension(2); ++i) {
    if (LValue) {
      result.slice(dst_slice_start, dst_slice_dim).roll(dim_roll) = tensor.slice(dst_slice_start, dst_slice_dim);
    } else {
      result.slice(dst_slice_start, dst_slice_dim) = tensor.roll(dim_roll).slice(dst_slice_start, dst_slice_dim);
    }
    dst_slice_start[2] += 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(), Eigen::Tensor< Scalar_, NumIndices_, Options_, IndexType_ >::dimensions(), i, j, k, Eigen::TensorBase< Derived, AccessLevel >::roll(), Eigen::TensorBase< Derived, AccessLevel >::setRandom(), Eigen::TensorBase< Derived, AccessLevel >::slice(), and VERIFY_IS_EQUAL.

test_simple_roll()

template<int DataLayout>

static void test_simple_roll ( )

static

                               {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  array<Index, 4> dim_roll;
  dim_roll[0] = 0;
  dim_roll[1] = 1;
  dim_roll[2] = 4;
  dim_roll[3] = 8;
 
  Tensor<float, 4, DataLayout> rolled_tensor;
  rolled_tensor = tensor.roll(dim_roll);
 
  VERIFY_IS_EQUAL(rolled_tensor.dimension(0), 2);
  VERIFY_IS_EQUAL(rolled_tensor.dimension(1), 3);
  VERIFY_IS_EQUAL(rolled_tensor.dimension(2), 5);
  VERIFY_IS_EQUAL(rolled_tensor.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 + 1) % 3, (k + 4) % 5, (l + 8) % 7), rolled_tensor(i, j, k, l));
        }
      }
    }
  }
 
  dim_roll[0] = -3;
  dim_roll[1] = -2;
  dim_roll[2] = -1;
  dim_roll[3] = 0;
 
  rolled_tensor = tensor.roll(dim_roll);
 
  VERIFY_IS_EQUAL(rolled_tensor.dimension(0), 2);
  VERIFY_IS_EQUAL(rolled_tensor.dimension(1), 3);
  VERIFY_IS_EQUAL(rolled_tensor.dimension(2), 5);
  VERIFY_IS_EQUAL(rolled_tensor.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 + 1) % 2, (j + 1) % 3, (k + 4) % 5, l), rolled_tensor(i, j, k, l));
        }
      }
    }
  }
}

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