eigen-tensor.cpp
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1 //
2 // Copyright (c) 2019 INRIA
3 //
4 
5 #include "pinocchio/math/tensor.hpp"
6 #include "pinocchio/multibody/model.hpp"
7 
8 #include <boost/test/unit_test.hpp>
9 #include <boost/utility/binary.hpp>
10 
11 #include <iostream>
12 
13 BOOST_AUTO_TEST_SUITE(BOOST_TEST_MODULE)
14 
15 BOOST_AUTO_TEST_CASE(test_emulate_tensors)
16 {
17  typedef double Scalar;
18  const int rank = 3;
19  typedef pinocchio::Tensor<Scalar,rank> Tensor;
20 
21  const Eigen::DenseIndex x_dim = 6, y_dim = 20, z_dim = 20;
22  Tensor tensor1(x_dim,y_dim,z_dim), tensor1_bis(x_dim,y_dim,z_dim);
23 
24  BOOST_CHECK(tensor1.size() == x_dim * y_dim * z_dim);
25  BOOST_CHECK(tensor1.dimension(0) == x_dim);
26  BOOST_CHECK(tensor1.dimension(1) == y_dim);
27  BOOST_CHECK(tensor1.dimension(2) == z_dim);
28 
29  Scalar * data = tensor1.data();
30  for(Eigen::DenseIndex k = 0; k < tensor1.size(); ++k)
31  data[k] = (Scalar)k;
32 
33  for(Eigen::DenseIndex k = 0; k < z_dim; ++k)
34  {
35  for(Eigen::DenseIndex j = 0; j < y_dim; ++j)
36  {
37  for(Eigen::DenseIndex i = 0; i < x_dim; ++i)
38  {
39  BOOST_CHECK(tensor1(i,j,k) == (Scalar)(i + j*x_dim + k*(x_dim*y_dim)));
40  }
41  }
42  }
43 
44  const Eigen::DenseIndex new_x_dim = 2*x_dim, new_y_dim = 2*y_dim, new_z_dim = 2*z_dim;
45  const Eigen::array<Tensor::Index,rank> dims = { x_dim,y_dim,z_dim };
46  tensor1.resize(dims);
47 
48  BOOST_CHECK(tensor1.size() == tensor1_bis.size());
49  for(std::size_t i = 0; i < rank; ++i)
50  BOOST_CHECK(tensor1.dimension(i) == dims[i]);
51 
52  const Eigen::array<Tensor::Index,rank> new_dims = { new_x_dim,new_y_dim,new_z_dim };
53  tensor1.resize(new_dims);
54 
55  BOOST_CHECK(tensor1.size() == 8*tensor1_bis.size());
56  for(std::size_t i = 0; i < rank; ++i)
57  BOOST_CHECK(tensor1.dimension(i) == new_dims[i]);
58 }
59 
60 BOOST_AUTO_TEST_SUITE_END()
BOOST_AUTO_TEST_CASE(test_emulate_tensors)
data
SE3::Scalar Scalar
Definition: conversions.cpp:13


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autogenerated on Tue Jun 1 2021 02:45:02