cxx11_tensor_padding.cpp File Reference

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

Functions
template<int DataLayout>
static void	test_simple_padding ()
template<int DataLayout>
static void	test_padded_expr ()
	EIGEN_DECLARE_TEST (cxx11_tensor_padding)

Function Documentation

EIGEN_DECLARE_TEST()

EIGEN_DECLARE_TEST

(

cxx11_tensor_padding

)

                                         {
  CALL_SUBTEST(test_simple_padding<ColMajor>());
  CALL_SUBTEST(test_simple_padding<RowMajor>());
  CALL_SUBTEST(test_padded_expr<ColMajor>());
  CALL_SUBTEST(test_padded_expr<RowMajor>());
}

References CALL_SUBTEST.

test_padded_expr()

template<int DataLayout>

static void test_padded_expr ( )

static

                               {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings;
  paddings[0] = std::make_pair(0, 0);
  paddings[1] = std::make_pair(2, 1);
  paddings[2] = std::make_pair(3, 4);
  paddings[3] = std::make_pair(0, 0);
 
  Eigen::DSizes<ptrdiff_t, 2> reshape_dims;
  reshape_dims[0] = 12;
  reshape_dims[1] = 84;
 
  Tensor<float, 2, DataLayout> result;
  result = tensor.pad(paddings).reshape(reshape_dims);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 6; ++j) {
      for (int k = 0; k < 12; ++k) {
        for (int l = 0; l < 7; ++l) {
          const float result_value =
              DataLayout == ColMajor ? result(i + 2 * j, k + 12 * l) : result(j + 6 * i, l + 7 * k);
          if (j >= 2 && j < 5 && k >= 3 && k < 8) {
            VERIFY_IS_EQUAL(result_value, tensor(i, j - 2, k - 3, l));
          } else {
            VERIFY_IS_EQUAL(result_value, 0.0f);
          }
        }
      }
    }
  }
}

References Eigen::ColMajor, DataLayout, i, j, k, Eigen::TensorBase< Derived, AccessLevel >::reshape(), Eigen::TensorBase< Derived, AccessLevel >::setRandom(), and VERIFY_IS_EQUAL.

test_simple_padding()

template<int DataLayout>

static void test_simple_padding ( )

static

                                  {
  Tensor<float, 4, DataLayout> tensor(2, 3, 5, 7);
  tensor.setRandom();
 
  array<std::pair<ptrdiff_t, ptrdiff_t>, 4> paddings;
  paddings[0] = std::make_pair(0, 0);
  paddings[1] = std::make_pair(2, 1);
  paddings[2] = std::make_pair(3, 4);
  paddings[3] = std::make_pair(0, 0);
 
  Tensor<float, 4, DataLayout> padded;
  padded = tensor.pad(paddings);
 
  VERIFY_IS_EQUAL(padded.dimension(0), 2 + 0);
  VERIFY_IS_EQUAL(padded.dimension(1), 3 + 3);
  VERIFY_IS_EQUAL(padded.dimension(2), 5 + 7);
  VERIFY_IS_EQUAL(padded.dimension(3), 7 + 0);
 
  for (int i = 0; i < 2; ++i) {
    for (int j = 0; j < 6; ++j) {
      for (int k = 0; k < 12; ++k) {
        for (int l = 0; l < 7; ++l) {
          if (j >= 2 && j < 5 && k >= 3 && k < 8) {
            VERIFY_IS_EQUAL(padded(i, j, k, l), tensor(i, j - 2, k - 3, l));
          } else {
            VERIFY_IS_EQUAL(padded(i, j, k, l), 0.0f);
          }
        }
      }
    }
  }
}

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