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<div class="title">matrix_proxy.hpp</div> </div>
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<a href="matrix__proxy_8hpp.html">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="preprocessor">#ifndef VIENNACL_MATRIX_PROXY_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_MATRIX_PROXY_HPP_</span></div>
<div class="line"><a name="l00003"></a><span class="lineno"> 3</span> </div>
<div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">/* =========================================================================</span></div>
<div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> Copyright (c) 2010-2016, Institute for Microelectronics,</span></div>
<div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> Institute for Analysis and Scientific Computing,</span></div>
<div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> TU Wien.</span></div>
<div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> Portions of this software are copyright by UChicago Argonne, LLC.</span></div>
<div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"></span></div>
<div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> ViennaCL - The Vienna Computing Library</span></div>
<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> -----------------</span></div>
<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"></span></div>
<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> Project Head: Karl Rupp rupp@iue.tuwien.ac.at</span></div>
<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"></span></div>
<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> (A list of authors and contributors can be found in the manual)</span></div>
<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"></span></div>
<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> License: MIT (X11), see file LICENSE in the base directory</span></div>
<div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment">============================================================================= */</span></div>
<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> </div>
<div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="forwards_8h.html">viennacl/forwards.h</a>"</span></div>
<div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="range_8hpp.html">viennacl/range.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="slice_8hpp.html">viennacl/slice.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="matrix__def_8hpp.html">viennacl/detail/matrix_def.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="size_8hpp.html">viennacl/traits/size.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div>
<div class="line"><a name="l00033"></a><span class="lineno"> 33</span> </div>
<div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace </span>detail</div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> MatrixT></div>
<div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764"> 39</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> & <a class="code" href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764">matrix_access</a>(MatrixT <span class="keyword">const</span> & A, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> A(i, j);</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  }</div>
<div class="line"><a name="l00043"></a><span class="lineno"> 43</span> </div>
<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00045"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#a83776ccbacac316ac90d82e2827d2028"> 45</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <span class="keyword">const</span> & <a class="code" href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764">matrix_access</a>(std::vector< std::vector<NumericT> > <span class="keyword">const</span> & A, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">return</span> A[i][j];</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div>
<div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div>
<div class="line"><a name="l00051"></a><span class="lineno"> 51</span> </div>
<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keyword">typename</span> MatrixT></div>
<div class="line"><a name="l00053"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#a01859245c2830921d6b796f607b3c328"> 53</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> & <a class="code" href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764">matrix_access</a>(MatrixT & A, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  {</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">return</span> A(i, j);</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span> </div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00059"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1detail.html#ad0855a5c3ce236f46c41e50e99fed5c5"> 59</a></span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> & <a class="code" href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764">matrix_access</a>(std::vector< std::vector<NumericT> > & A, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j)</div>
<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  {</div>
<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">return</span> A[i][j];</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  }</div>
<div class="line"><a name="l00063"></a><span class="lineno"> 63</span> </div>
<div class="line"><a name="l00064"></a><span class="lineno"> 64</span> }</div>
<div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div>
<div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="keyword">class </span>matrix_range : <span class="keyword">public</span> matrix_base<typename MatrixType::cpu_value_type></div>
<div class="line"><a name="l00072"></a><span class="lineno"> 72</span> {</div>
<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keyword">typedef</span> matrix_base<typename MatrixType::cpu_value_type> base_type;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keyword">typedef</span> matrix_range<MatrixType> self_type;</div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span> </div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00077"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#ad436ae3cbfcb2ab134f4b8727828259e"> 77</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::value_type <a class="code" href="classviennacl_1_1matrix__range.html#ad436ae3cbfcb2ab134f4b8727828259e">value_type</a>;</div>
<div class="line"><a name="l00078"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4"> 78</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceviennacl_1_1backend_1_1cpu__ram.html#a3fc1147917966bad9e3786c1d46d4169">MatrixType::handle_type</a> <a class="code" href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4">handle_type</a>;</div>
<div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a4064dc2a15d3ab796852dffb6cfd873b"> 79</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1result__of_1_1cpu__value__type.html#aa015d93f419985879a7c13b09633c5c6">viennacl::result_of::cpu_value_type<value_type>::type</a> <a class="code" href="classviennacl_1_1matrix__range.html#a4064dc2a15d3ab796852dffb6cfd873b">cpu_value_type</a>;</div>
<div class="line"><a name="l00080"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#aec19050aa8523003ebd04a0122c8bb2f"> 80</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1basic__range.html#af055791c1672b45ca992d0fd6045d5d5">range::size_type</a> <a class="code" href="classviennacl_1_1matrix__range.html#aec19050aa8523003ebd04a0122c8bb2f">size_type</a>;</div>
<div class="line"><a name="l00081"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a6d841c457f8442372f9478d968f1fd1b"> 81</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1basic__range.html#aa6e54d5a8c0d51d4310bb57f98bec3eb">range::difference_type</a> <a class="code" href="classviennacl_1_1matrix__range.html#a6d841c457f8442372f9478d968f1fd1b">difference_type</a>;</div>
<div class="line"><a name="l00082"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a294649e885898124628094aa3acd5fa5"> 82</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1matrix__range.html#ad436ae3cbfcb2ab134f4b8727828259e">value_type</a> <a class="code" href="classviennacl_1_1matrix__range.html#a294649e885898124628094aa3acd5fa5">reference</a>;</div>
<div class="line"><a name="l00083"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#ae6dc2ea9e181e7305eb258397f2a75f1"> 83</a></span>  <span class="keyword">typedef</span> <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__range.html#ad436ae3cbfcb2ab134f4b8727828259e">value_type</a> & <a class="code" href="classviennacl_1_1matrix__range.html#ae6dc2ea9e181e7305eb258397f2a75f1">const_reference</a>;</div>
<div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div>
<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> </div>
<div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a6178a1a8edf196ce5032738da4877b25"> 86</a></span>  <a class="code" href="classviennacl_1_1matrix__range.html#a6178a1a8edf196ce5032738da4877b25">matrix_range</a>(MatrixType <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & row_range,</div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & col_range) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  row_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  col_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00092"></a><span class="lineno"> 92</span> </div>
<div class="line"><a name="l00093"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a100b1ddda26bfd792b34b666c0dc23e2"> 93</a></span>  <a class="code" href="classviennacl_1_1matrix__range.html#a100b1ddda26bfd792b34b666c0dc23e2">matrix_range</a>(<a class="code" href="classviennacl_1_1matrix__range.html">self_type</a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & row_range,</div>
<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & col_range) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  row_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  col_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div>
<div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a3a6b55a656dc7ad97e7d2ad9aa625f18"> 101</a></span>  <a class="code" href="classviennacl_1_1matrix__range.html#a3a6b55a656dc7ad97e7d2ad9aa625f18">matrix_range</a>(<a class="code" href="classviennacl_1_1matrix__range.html">self_type</a> <span class="keyword">const</span> & other) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4">handle_type</a> &>(other.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  other.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  other.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  other.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keyword">using</span> base_type::operator=;</div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="comment">// the following are needed for Visual Studio:</span></div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00110"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a1d46c33083bf7c74898c69801c25e8cb"> 110</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__range.html#a1d46c33083bf7c74898c69801c25e8cb">operator=</a>(<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span> </div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00113"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#a2bd2b1d5a66cb256ae3ebcefcdc10183"> 113</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__range.html#a2bd2b1d5a66cb256ae3ebcefcdc10183">operator=</a>(<a class="code" href="classviennacl_1_1matrix__range.html">viennacl::matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> > <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00116"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range.html#ab15ae025d7115f09d1c9687c24474321"> 116</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__range.html#ab15ae025d7115f09d1c9687c24474321">operator=</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">viennacl::matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> > <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> };</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span> </div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html"> 120</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><MatrixType> > : <span class="keyword">public</span> <a class="code" href="classviennacl_1_1matrix__base.html">matrix_base</a><typename MatrixType::cpu_value_type></div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> {</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<typename MatrixType::cpu_value_type></a> <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>;</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00124"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ac046c47a64543a2e08fa700e2ca6b034"> 124</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceviennacl_1_1backend_1_1cpu__ram.html#a3fc1147917966bad9e3786c1d46d4169">MatrixType::handle_type</a> <a class="code" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ac046c47a64543a2e08fa700e2ca6b034">handle_type</a>;</div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div>
<div class="line"><a name="l00126"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ab399b835b9292482c71c2587834bfd7c"> 126</a></span>  <a class="code" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ab399b835b9292482c71c2587834bfd7c">matrix_range</a>(MatrixType <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & row_range,</div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & col_range) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ac046c47a64543a2e08fa700e2ca6b034">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  row_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  col_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span> </div>
<div class="line"><a name="l00133"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aa595c2260e61819b45437e38fe06169a"> 133</a></span>  <a class="code" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aa595c2260e61819b45437e38fe06169a">matrix_range</a>(<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & row_range,</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classviennacl_1_1basic__range.html">range</a> <span class="keyword">const</span> & col_range) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ac046c47a64543a2e08fa700e2ca6b034">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  row_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  col_range.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_range.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span> };</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span> </div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> <span class="comment">//row_major:</span></div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00147"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a591856f7f277d0cfe1d88f8157b74b7e"> 147</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, row_major, 1></a> > & gpu_matrix_range )</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> {</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_range.size1())</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_range.size2())</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00153"></a><span class="lineno"> 153</span> </div>
<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keywordflow">if</span> ( gpu_matrix_range.start2() != 0)</div>
<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div>
<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  std::vector<NumericT> entries(gpu_matrix_range.size2());</div>
<div class="line"><a name="l00157"></a><span class="lineno"> 157</span> </div>
<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  {</div>
<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  entries[j] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_range.start1() + i) * gpu_matrix_range.internal_size2() + gpu_matrix_range.start2();</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.size2();</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">//std::cout << "Strided copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div>
<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  }</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  {</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">//full block can be copied:</span></div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  std::vector<NumericT> entries(gpu_matrix_range.size1()*gpu_matrix_range.internal_size2());</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span> </div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  entries[i*gpu_matrix_range.internal_size2() + j] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span> </div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_range.start1() * gpu_matrix_range.internal_size2();</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.size1() * gpu_matrix_range.internal_size2();</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <span class="comment">//std::cout << "Block copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span> </div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> <span class="comment">//column_major:</span></div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00189"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a5a8af211ade14d32939de1ab88fbfce3"> 189</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, column_major, 1></a> > & gpu_matrix_range )</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span> {</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_range.size1())</div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_range.size2())</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <span class="keywordflow">if</span> ( gpu_matrix_range.start1() != 0 || gpu_matrix_range.size1() != gpu_matrix_range.size1())</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  {</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  std::vector<NumericT> entries(gpu_matrix_range.size1());</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span> </div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div>
<div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  entries[i] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div>
<div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_range.start2() + j) * gpu_matrix_range.internal_size1() + gpu_matrix_range.start1();</div>
<div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.size1();</div>
<div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">//std::cout << "Strided copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  }</div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  }</div>
<div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  {</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  <span class="comment">//full block can be copied:</span></div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  std::vector<NumericT> entries(gpu_matrix_range.internal_size1()*gpu_matrix_range.size2());</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span> </div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  entries[i + j*gpu_matrix_range.internal_size1()] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span> </div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_range.start2() * gpu_matrix_range.internal_size1();</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.internal_size1() * gpu_matrix_range.size2();</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="comment">//std::cout << "Block copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span> </div>
<div class="line"><a name="l00228"></a><span class="lineno"> 228</span> }</div>
<div class="line"><a name="l00229"></a><span class="lineno"> 229</span> </div>
<div class="line"><a name="l00230"></a><span class="lineno"> 230</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div>
<div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div>
<div class="line"><a name="l00236"></a><span class="lineno"> 236</span> <span class="comment">//row_major:</span></div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a638aa5c54fe703aac75a9613b6fa992a"> 238</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, row_major, 1></a> > <span class="keyword">const</span> & gpu_matrix_range,</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  CPUMatrixT & cpu_matrix)</div>
<div class="line"><a name="l00240"></a><span class="lineno"> 240</span> {</div>
<div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_range.size1())</div>
<div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_range.size2())</div>
<div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00244"></a><span class="lineno"> 244</span> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <span class="keywordflow">if</span> ( gpu_matrix_range.start2() != 0)</div>
<div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  {</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  std::vector<NumericT> entries(gpu_matrix_range.size2());</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  {</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_range.start1() + i) * gpu_matrix_range.internal_size2() + gpu_matrix_range.start2();</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.size2();</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">//std::cout << "Strided copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
<div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[j];</div>
<div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  }</div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  }</div>
<div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  {</div>
<div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="comment">//full block can be copied:</span></div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  std::vector<NumericT> entries(gpu_matrix_range.size1()*gpu_matrix_range.internal_size2());</div>
<div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div>
<div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_range.start1() * gpu_matrix_range.internal_size2();</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*entries.size(), &(entries[0]));</div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="comment">//std::cout << "Block copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[i*gpu_matrix_range.internal_size2() + j];</div>
<div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div>
<div class="line"><a name="l00274"></a><span class="lineno"> 274</span> </div>
<div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div>
<div class="line"><a name="l00277"></a><span class="lineno"> 277</span> </div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> <span class="comment">//column_major:</span></div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00280"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a99b5ce1b764503f97c07405b6a937fc7"> 280</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, column_major, 1></a> > <span class="keyword">const</span> & gpu_matrix_range,</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  CPUMatrixT & cpu_matrix)</div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span> {</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_range.size1())</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_range.size2())</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div>
<div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  <span class="keywordflow">if</span> ( gpu_matrix_range.start1() != 0)</div>
<div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  {</div>
<div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  std::vector<NumericT> entries(gpu_matrix_range.size1());</div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div>
<div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div>
<div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_range.start2() + j) * gpu_matrix_range.internal_size1() + gpu_matrix_range.start1();</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.size1();</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="comment">//std::cout << "Strided copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span> </div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[i];</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  }</div>
<div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  }</div>
<div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  {</div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span>  <span class="comment">//full block can be copied:</span></div>
<div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  std::vector<NumericT> entries(gpu_matrix_range.internal_size1()*gpu_matrix_range.size2());</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span> </div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_range.start2() * gpu_matrix_range.internal_size1();</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_range.internal_size1() * gpu_matrix_range.size2();</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_range.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <span class="comment">//std::cout << "Block copy worked!" << std::endl;</span></div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span> </div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_range.size1(); ++i)</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_range.size2(); ++j)</div>
<div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[i + j*gpu_matrix_range.internal_size1()];</div>
<div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  }</div>
<div class="line"><a name="l00318"></a><span class="lineno"> 318</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> }</div>
<div class="line"><a name="l00320"></a><span class="lineno"> 320</span> </div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span> </div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> <span class="comment">//</span></div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span> <span class="comment">// Convenience function</span></div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span> <span class="comment">//</span></div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00326"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748"> 326</a></span> <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a> <a class="code" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">project</a>(MatrixType <span class="keyword">const</span> & A, <a class="code" href="classviennacl_1_1basic__range.html">viennacl::range</a> <span class="keyword">const</span> & r1, <a class="code" href="classviennacl_1_1basic__range.html">viennacl::range</a> <span class="keyword">const</span> & r2)</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span> {</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  assert(r1.<a class="code" href="classviennacl_1_1basic__range.html#a76e130f45289f502bb75637391b6ebaf">size</a>() <= A.size1() && r2.<a class="code" href="classviennacl_1_1basic__range.html#a76e130f45289f502bb75637391b6ebaf">size</a>() <= A.size2() && bool(<span class="stringliteral">"Size of range invalid!"</span>));</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a>(A, r1, r2);</div>
<div class="line"><a name="l00331"></a><span class="lineno"> 331</span> }</div>
<div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> </div>
<div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a3d33198f0cc7b3e811381c65dc497632"> 335</a></span> <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a> <a class="code" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">project</a>(<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a> <span class="keyword">const</span> & A, <a class="code" href="classviennacl_1_1basic__range.html">viennacl::range</a> <span class="keyword">const</span> & r1, <a class="code" href="classviennacl_1_1basic__range.html">viennacl::range</a> <span class="keyword">const</span> & r2)</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  assert(r1.<a class="code" href="classviennacl_1_1basic__range.html#a76e130f45289f502bb75637391b6ebaf">size</a>() <= A.size1() && r2.<a class="code" href="classviennacl_1_1basic__range.html#a76e130f45289f502bb75637391b6ebaf">size</a>() <= A.size2() && bool(<span class="stringliteral">"Size of range invalid!"</span>));</div>
<div class="line"><a name="l00338"></a><span class="lineno"> 338</span> </div>
<div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a>(A, r1, r2);</div>
<div class="line"><a name="l00340"></a><span class="lineno"> 340</span> }</div>
<div class="line"><a name="l00341"></a><span class="lineno"> 341</span> </div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span> </div>
<div class="line"><a name="l00343"></a><span class="lineno"> 343</span> </div>
<div class="line"><a name="l00344"></a><span class="lineno"> 344</span> </div>
<div class="line"><a name="l00345"></a><span class="lineno"> 345</span> <span class="comment">//</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> <span class="comment">//</span></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> <span class="comment">//</span></div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="comment"></span><span class="comment">//</span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> <span class="comment">//</span></div>
<div class="line"><a name="l00351"></a><span class="lineno"> 351</span> <span class="comment">//</span></div>
<div class="line"><a name="l00352"></a><span class="lineno"> 352</span> </div>
<div class="line"><a name="l00353"></a><span class="lineno"> 353</span> </div>
<div class="line"><a name="l00354"></a><span class="lineno"> 354</span> </div>
<div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div>
<div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div>
<div class="line"><a name="l00361"></a><span class="lineno"> 361</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00362"></a><span class="lineno"> 362</span> <span class="keyword">class </span>matrix_slice : <span class="keyword">public</span> matrix_base<typename MatrixType::cpu_value_type></div>
<div class="line"><a name="l00363"></a><span class="lineno"> 363</span> {</div>
<div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <span class="keyword">typedef</span> matrix_base<typename MatrixType::cpu_value_type> base_type;</div>
<div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  <span class="keyword">typedef</span> matrix_slice<MatrixType> self_type;</div>
<div class="line"><a name="l00366"></a><span class="lineno"> 366</span> </div>
<div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00368"></a><span class="lineno"> 368</span> </div>
<div class="line"><a name="l00369"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#aa899c7446878be8a9200e741e4d57fe3"> 369</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> MatrixType::value_type <a class="code" href="classviennacl_1_1matrix__slice.html#aa899c7446878be8a9200e741e4d57fe3">value_type</a>;</div>
<div class="line"><a name="l00370"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71"> 370</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceviennacl_1_1backend_1_1cpu__ram.html#a3fc1147917966bad9e3786c1d46d4169">MatrixType::handle_type</a> <a class="code" href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71">handle_type</a>;</div>
<div class="line"><a name="l00371"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a38cb8271a86001d19028cc2903546463"> 371</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="structviennacl_1_1result__of_1_1cpu__value__type.html#aa015d93f419985879a7c13b09633c5c6">viennacl::result_of::cpu_value_type<value_type>::type</a> <a class="code" href="classviennacl_1_1matrix__slice.html#a38cb8271a86001d19028cc2903546463">cpu_value_type</a>;</div>
<div class="line"><a name="l00372"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a30f8bdd48c7b3f3e470aab2a9d419bd7"> 372</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1basic__range.html#af055791c1672b45ca992d0fd6045d5d5">range::size_type</a> <a class="code" href="classviennacl_1_1matrix__slice.html#a30f8bdd48c7b3f3e470aab2a9d419bd7">size_type</a>;</div>
<div class="line"><a name="l00373"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#afe786a1f980fa21ff95d338784021598"> 373</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1basic__range.html#aa6e54d5a8c0d51d4310bb57f98bec3eb">range::difference_type</a> <a class="code" href="classviennacl_1_1matrix__slice.html#afe786a1f980fa21ff95d338784021598">difference_type</a>;</div>
<div class="line"><a name="l00374"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a9f10a6601fa6afe0d38a8f1e6483a90c"> 374</a></span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1matrix__slice.html#aa899c7446878be8a9200e741e4d57fe3">value_type</a> <a class="code" href="classviennacl_1_1matrix__slice.html#a9f10a6601fa6afe0d38a8f1e6483a90c">reference</a>;</div>
<div class="line"><a name="l00375"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#ad540bf380c5586b66d6ba3745555136f"> 375</a></span>  <span class="keyword">typedef</span> <span class="keyword">const</span> <a class="code" href="classviennacl_1_1matrix__slice.html#aa899c7446878be8a9200e741e4d57fe3">value_type</a> & <a class="code" href="classviennacl_1_1matrix__slice.html#ad540bf380c5586b66d6ba3745555136f">const_reference</a>;</div>
<div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div>
<div class="line"><a name="l00377"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a75ffb6e46e07e6ffe2dbaef2d6bb7593"> 377</a></span>  <a class="code" href="classviennacl_1_1matrix__slice.html#a75ffb6e46e07e6ffe2dbaef2d6bb7593">matrix_slice</a>(MatrixType <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & row_slice,</div>
<div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & col_slice) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00381"></a><span class="lineno"> 381</span>  col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00382"></a><span class="lineno"> 382</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00383"></a><span class="lineno"> 383</span> </div>
<div class="line"><a name="l00384"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a957bc283ab8327eb93ce863c9a734f32"> 384</a></span>  <a class="code" href="classviennacl_1_1matrix__slice.html#a957bc283ab8327eb93ce863c9a734f32">matrix_slice</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">self_type</a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & row_slice,</div>
<div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & col_slice) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00390"></a><span class="lineno"> 390</span> </div>
<div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div>
<div class="line"><a name="l00392"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a73ec32d37eb9c64e2e165abbb7e6d87b"> 392</a></span>  <a class="code" href="classviennacl_1_1matrix__slice.html#a73ec32d37eb9c64e2e165abbb7e6d87b">matrix_slice</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">self_type</a> <span class="keyword">const</span> & other) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71">handle_type</a> &>(other.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00393"></a><span class="lineno"> 393</span>  other.<a class="code" href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">size1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00394"></a><span class="lineno"> 394</span>  other.<a class="code" href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">size2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), other.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00395"></a><span class="lineno"> 395</span>  other.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00396"></a><span class="lineno"> 396</span> </div>
<div class="line"><a name="l00397"></a><span class="lineno"> 397</span>  <span class="keyword">using</span> base_type::operator=;</div>
<div class="line"><a name="l00398"></a><span class="lineno"> 398</span> </div>
<div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <span class="comment">// the following are needed for Visual Studio:</span></div>
<div class="line"><a name="l00400"></a><span class="lineno"> 400</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00401"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#ae6b654d0c84a931eb3432a5a7c8cd106"> 401</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__slice.html#ae6b654d0c84a931eb3432a5a7c8cd106">operator=</a>(<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00402"></a><span class="lineno"> 402</span> </div>
<div class="line"><a name="l00403"></a><span class="lineno"> 403</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00404"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#a597f170c876f95c4c6bc3a019f3cedbd"> 404</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__slice.html#a597f170c876f95c4c6bc3a019f3cedbd">operator=</a>(<a class="code" href="classviennacl_1_1matrix__range.html">viennacl::matrix_range</a><<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> > <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00405"></a><span class="lineno"> 405</span> </div>
<div class="line"><a name="l00406"></a><span class="lineno"> 406</span>  <span class="keyword">template</span><<span class="keyword">typename</span> OtherNumericT, <span class="keyword">typename</span> F></div>
<div class="line"><a name="l00407"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice.html#aa8d028e30ba6472a9a632c49b9913e03"> 407</a></span>  <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a> & <a class="code" href="classviennacl_1_1matrix__slice.html#aa8d028e30ba6472a9a632c49b9913e03">operator=</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">viennacl::matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<OtherNumericT, F></a> > <span class="keyword">const</span> & B) { <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">base_type::operator=</a>(<span class="keyword">static_cast<</span><a class="code" href="classviennacl_1_1matrix__base.html">viennacl::matrix_base<OtherNumericT></a> <span class="keyword">const </span>&<span class="keyword">></span>(B)); }</div>
<div class="line"><a name="l00408"></a><span class="lineno"> 408</span> };</div>
<div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div>
<div class="line"><a name="l00410"></a><span class="lineno"> 410</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00411"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html"> 411</a></span> <span class="keyword">class </span><a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice</a><<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range</a><MatrixType> > : <span class="keyword">public</span> <a class="code" href="classviennacl_1_1matrix__base.html">matrix_base</a><typename MatrixType::cpu_value_type></div>
<div class="line"><a name="l00412"></a><span class="lineno"> 412</span> {</div>
<div class="line"><a name="l00413"></a><span class="lineno"> 413</span>  <span class="keyword">typedef</span> <a class="code" href="classviennacl_1_1matrix__base.html">matrix_base<typename MatrixType::cpu_value_type></a> <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>;</div>
<div class="line"><a name="l00414"></a><span class="lineno"> 414</span> <span class="keyword">public</span>:</div>
<div class="line"><a name="l00415"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#a1405263a01e16f7bcd4c09fb8eb29bc7"> 415</a></span>  <span class="keyword">typedef</span> <span class="keyword">typename</span> <a class="code" href="namespaceviennacl_1_1backend_1_1cpu__ram.html#a3fc1147917966bad9e3786c1d46d4169">MatrixType::handle_type</a> <a class="code" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#a1405263a01e16f7bcd4c09fb8eb29bc7">handle_type</a>;</div>
<div class="line"><a name="l00416"></a><span class="lineno"> 416</span> </div>
<div class="line"><a name="l00417"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aabe80bdcb1d57191aff173806d0b3e31"> 417</a></span>  <a class="code" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aabe80bdcb1d57191aff173806d0b3e31">matrix_slice</a>(MatrixType <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00418"></a><span class="lineno"> 418</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & row_slice,</div>
<div class="line"><a name="l00419"></a><span class="lineno"> 419</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & col_slice) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#a1405263a01e16f7bcd4c09fb8eb29bc7">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00423"></a><span class="lineno"> 423</span> </div>
<div class="line"><a name="l00424"></a><span class="lineno"><a class="line" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aef18c078f89c2851229dd91422fed2db"> 424</a></span>  <a class="code" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aef18c078f89c2851229dd91422fed2db">matrix_slice</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a> <span class="keyword">const</span> & A,</div>
<div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & row_slice,</div>
<div class="line"><a name="l00426"></a><span class="lineno"> 426</span>  <a class="code" href="classviennacl_1_1basic__slice.html">slice</a> <span class="keyword">const</span> & col_slice) : <a class="code" href="classviennacl_1_1matrix__base.html">base_type</a>(const_cast<<a class="code" href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#a1405263a01e16f7bcd4c09fb8eb29bc7">handle_type</a> &>(A.<a class="code" href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">handle</a>()),</div>
<div class="line"><a name="l00427"></a><span class="lineno"> 427</span>  row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">start1</a>(), row_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">stride1</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>(),</div>
<div class="line"><a name="l00428"></a><span class="lineno"> 428</span>  col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">start</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>() + A.<a class="code" href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">start2</a>(), col_slice.<a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>() * A.<a class="code" href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">stride2</a>(), A.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>(),</div>
<div class="line"><a name="l00429"></a><span class="lineno"> 429</span>  A.<a class="code" href="structviennacl_1_1row__major.html">row_major</a>()) {}</div>
<div class="line"><a name="l00430"></a><span class="lineno"> 430</span> };</div>
<div class="line"><a name="l00431"></a><span class="lineno"> 431</span> </div>
<div class="line"><a name="l00432"></a><span class="lineno"> 432</span> </div>
<div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div>
<div class="line"><a name="l00437"></a><span class="lineno"> 437</span> <span class="comment">//row_major:</span></div>
<div class="line"><a name="l00438"></a><span class="lineno"> 438</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00439"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a32c2dc32899cf921fc088bb5dd591e3f"> 439</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, row_major, 1></a> > & gpu_matrix_slice )</div>
<div class="line"><a name="l00441"></a><span class="lineno"> 441</span> {</div>
<div class="line"><a name="l00442"></a><span class="lineno"> 442</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_slice.size1())</div>
<div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_slice.size2())</div>
<div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div>
<div class="line"><a name="l00446"></a><span class="lineno"> 446</span>  <span class="keywordflow">if</span> ( (gpu_matrix_slice.size1() > 0) && (gpu_matrix_slice.size1() > 0) )</div>
<div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  {</div>
<div class="line"><a name="l00448"></a><span class="lineno"> 448</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_slice.size2() * gpu_matrix_slice.stride2(); <span class="comment">//no. of entries per stride</span></div>
<div class="line"><a name="l00449"></a><span class="lineno"> 449</span> </div>
<div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  std::vector<NumericT> entries(num_entries);</div>
<div class="line"><a name="l00451"></a><span class="lineno"> 451</span> </div>
<div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00453"></a><span class="lineno"> 453</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_slice.size1(); ++i)</div>
<div class="line"><a name="l00454"></a><span class="lineno"> 454</span>  {</div>
<div class="line"><a name="l00455"></a><span class="lineno"> 455</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_slice.start1() + i * gpu_matrix_slice.stride1()) * gpu_matrix_slice.internal_size2() + gpu_matrix_slice.start2();</div>
<div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00457"></a><span class="lineno"> 457</span> </div>
<div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_slice.size2(); ++j)</div>
<div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  entries[j * gpu_matrix_slice.stride2()] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00460"></a><span class="lineno"> 460</span> </div>
<div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00462"></a><span class="lineno"> 462</span>  }</div>
<div class="line"><a name="l00463"></a><span class="lineno"> 463</span>  }</div>
<div class="line"><a name="l00464"></a><span class="lineno"> 464</span> }</div>
<div class="line"><a name="l00465"></a><span class="lineno"> 465</span> </div>
<div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="comment">//column_major:</span></div>
<div class="line"><a name="l00467"></a><span class="lineno"> 467</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00468"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a8943b9e05480eb6b7bcd11a0061912e3"> 468</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<span class="keyword">const</span> CPUMatrixT & cpu_matrix,</div>
<div class="line"><a name="l00469"></a><span class="lineno"> 469</span>  <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, column_major, 1></a> > & gpu_matrix_slice )</div>
<div class="line"><a name="l00470"></a><span class="lineno"> 470</span> {</div>
<div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_slice.size1())</div>
<div class="line"><a name="l00472"></a><span class="lineno"> 472</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_slice.size2())</div>
<div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00474"></a><span class="lineno"> 474</span> </div>
<div class="line"><a name="l00475"></a><span class="lineno"> 475</span> </div>
<div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keywordflow">if</span> ( (gpu_matrix_slice.size1() > 0) && (gpu_matrix_slice.size1() > 0) )</div>
<div class="line"><a name="l00477"></a><span class="lineno"> 477</span>  {</div>
<div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_slice.size1() * gpu_matrix_slice.stride1(); <span class="comment">//no. of entries per stride</span></div>
<div class="line"><a name="l00479"></a><span class="lineno"> 479</span> </div>
<div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  std::vector<NumericT> entries(num_entries);</div>
<div class="line"><a name="l00481"></a><span class="lineno"> 481</span> </div>
<div class="line"><a name="l00482"></a><span class="lineno"> 482</span>  <span class="comment">//copy each column stride separately:</span></div>
<div class="line"><a name="l00483"></a><span class="lineno"> 483</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_slice.size2(); ++j)</div>
<div class="line"><a name="l00484"></a><span class="lineno"> 484</span>  {</div>
<div class="line"><a name="l00485"></a><span class="lineno"> 485</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_slice.start1() + (gpu_matrix_slice.start2() + j * gpu_matrix_slice.stride2()) * gpu_matrix_slice.internal_size1();</div>
<div class="line"><a name="l00486"></a><span class="lineno"> 486</span> </div>
<div class="line"><a name="l00487"></a><span class="lineno"> 487</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00488"></a><span class="lineno"> 488</span> </div>
<div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_slice.size1(); ++i)</div>
<div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  entries[i * gpu_matrix_slice.stride1()] = detail::matrix_access<NumericT>(cpu_matrix, i, j);</div>
<div class="line"><a name="l00491"></a><span class="lineno"> 491</span> </div>
<div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00493"></a><span class="lineno"> 493</span>  }</div>
<div class="line"><a name="l00494"></a><span class="lineno"> 494</span>  }</div>
<div class="line"><a name="l00495"></a><span class="lineno"> 495</span> </div>
<div class="line"><a name="l00496"></a><span class="lineno"> 496</span> }</div>
<div class="line"><a name="l00497"></a><span class="lineno"> 497</span> </div>
<div class="line"><a name="l00498"></a><span class="lineno"> 498</span> </div>
<div class="line"><a name="l00502"></a><span class="lineno"> 502</span> </div>
<div class="line"><a name="l00503"></a><span class="lineno"> 503</span> </div>
<div class="line"><a name="l00504"></a><span class="lineno"> 504</span> <span class="comment">//row_major:</span></div>
<div class="line"><a name="l00505"></a><span class="lineno"> 505</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00506"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#af2902ac57885aecf018516bc72fbab09"> 506</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, row_major, 1></a> > <span class="keyword">const</span> & gpu_matrix_slice,</div>
<div class="line"><a name="l00507"></a><span class="lineno"> 507</span>  CPUMatrixT & cpu_matrix)</div>
<div class="line"><a name="l00508"></a><span class="lineno"> 508</span> {</div>
<div class="line"><a name="l00509"></a><span class="lineno"> 509</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_slice.size1())</div>
<div class="line"><a name="l00510"></a><span class="lineno"> 510</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_slice.size2())</div>
<div class="line"><a name="l00511"></a><span class="lineno"> 511</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00512"></a><span class="lineno"> 512</span> </div>
<div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">if</span> ( (gpu_matrix_slice.size1() > 0) && (gpu_matrix_slice.size1() > 0) )</div>
<div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div>
<div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_slice.size2() * gpu_matrix_slice.stride2(); <span class="comment">//no. of entries per stride</span></div>
<div class="line"><a name="l00516"></a><span class="lineno"> 516</span> </div>
<div class="line"><a name="l00517"></a><span class="lineno"> 517</span>  std::vector<NumericT> entries(num_entries);</div>
<div class="line"><a name="l00518"></a><span class="lineno"> 518</span> </div>
<div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="comment">//copy each stride separately:</span></div>
<div class="line"><a name="l00520"></a><span class="lineno"> 520</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_slice.size1(); ++i)</div>
<div class="line"><a name="l00521"></a><span class="lineno"> 521</span>  {</div>
<div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = (gpu_matrix_slice.start1() + i * gpu_matrix_slice.stride1()) * gpu_matrix_slice.internal_size2() + gpu_matrix_slice.start2();</div>
<div class="line"><a name="l00523"></a><span class="lineno"> 523</span> </div>
<div class="line"><a name="l00524"></a><span class="lineno"> 524</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00525"></a><span class="lineno"> 525</span> </div>
<div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_slice.size2(); ++j)</div>
<div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[j * gpu_matrix_slice.stride2()];</div>
<div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  }</div>
<div class="line"><a name="l00529"></a><span class="lineno"> 529</span>  }</div>
<div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div>
<div class="line"><a name="l00531"></a><span class="lineno"> 531</span> }</div>
<div class="line"><a name="l00532"></a><span class="lineno"> 532</span> </div>
<div class="line"><a name="l00533"></a><span class="lineno"> 533</span> </div>
<div class="line"><a name="l00534"></a><span class="lineno"> 534</span> <span class="comment">//column_major:</span></div>
<div class="line"><a name="l00535"></a><span class="lineno"> 535</span> <span class="keyword">template</span><<span class="keyword">typename</span> CPUMatrixT, <span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00536"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a784184338e26686e21bdf43d66c875ac"> 536</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">copy</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice</a><<a class="code" href="classviennacl_1_1matrix.html">matrix<NumericT, column_major, 1></a> > <span class="keyword">const</span> & gpu_matrix_slice,</div>
<div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  CPUMatrixT & cpu_matrix)</div>
<div class="line"><a name="l00538"></a><span class="lineno"> 538</span> {</div>
<div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  assert( (<a class="code" href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a>(cpu_matrix) == gpu_matrix_slice.size1())</div>
<div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  && (<a class="code" href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a>(cpu_matrix) == gpu_matrix_slice.size2())</div>
<div class="line"><a name="l00541"></a><span class="lineno"> 541</span>  && <span class="keywordtype">bool</span>(<span class="stringliteral">"Matrix size mismatch!"</span>));</div>
<div class="line"><a name="l00542"></a><span class="lineno"> 542</span> </div>
<div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keywordflow">if</span> ( (gpu_matrix_slice.size1() > 0) && (gpu_matrix_slice.size1() > 0) )</div>
<div class="line"><a name="l00544"></a><span class="lineno"> 544</span>  {</div>
<div class="line"><a name="l00545"></a><span class="lineno"> 545</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> num_entries = gpu_matrix_slice.size1() * gpu_matrix_slice.stride1(); <span class="comment">//no. of entries per stride</span></div>
<div class="line"><a name="l00546"></a><span class="lineno"> 546</span> </div>
<div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  std::vector<NumericT> entries(num_entries);</div>
<div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div>
<div class="line"><a name="l00549"></a><span class="lineno"> 549</span>  <span class="comment">//copy each column stride separately:</span></div>
<div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> j=0; j < gpu_matrix_slice.size2(); ++j)</div>
<div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  {</div>
<div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> start_offset = gpu_matrix_slice.start1() + (gpu_matrix_slice.start2() + j * gpu_matrix_slice.stride2()) * gpu_matrix_slice.internal_size1();</div>
<div class="line"><a name="l00553"></a><span class="lineno"> 553</span> </div>
<div class="line"><a name="l00554"></a><span class="lineno"> 554</span>  <a class="code" href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a>(gpu_matrix_slice.handle(), <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*start_offset, <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)*num_entries, &(entries[0]));</div>
<div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div>
<div class="line"><a name="l00556"></a><span class="lineno"> 556</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> i=0; i < gpu_matrix_slice.size1(); ++i)</div>
<div class="line"><a name="l00557"></a><span class="lineno"> 557</span>  detail::matrix_access<NumericT>(cpu_matrix, i, j) = entries[i * gpu_matrix_slice.stride1()];</div>
<div class="line"><a name="l00558"></a><span class="lineno"> 558</span>  }</div>
<div class="line"><a name="l00559"></a><span class="lineno"> 559</span>  }</div>
<div class="line"><a name="l00560"></a><span class="lineno"> 560</span> </div>
<div class="line"><a name="l00561"></a><span class="lineno"> 561</span> }</div>
<div class="line"><a name="l00562"></a><span class="lineno"> 562</span> </div>
<div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div>
<div class="line"><a name="l00564"></a><span class="lineno"> 564</span> <span class="comment">//</span></div>
<div class="line"><a name="l00565"></a><span class="lineno"> 565</span> <span class="comment">// Convenience function</span></div>
<div class="line"><a name="l00566"></a><span class="lineno"> 566</span> <span class="comment">//</span></div>
<div class="line"><a name="l00567"></a><span class="lineno"> 567</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00568"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#ae9c089715c733e9e42ac80ee5fc99e29"> 568</a></span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a> <a class="code" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">project</a>(MatrixType <span class="keyword">const</span> & A, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r1, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r2)</div>
<div class="line"><a name="l00569"></a><span class="lineno"> 569</span> {</div>
<div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  assert(r1.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size1() && r2.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size2() && bool(<span class="stringliteral">"Size of slice invalid!"</span>));</div>
<div class="line"><a name="l00571"></a><span class="lineno"> 571</span> </div>
<div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a>(A, r1, r2);</div>
<div class="line"><a name="l00573"></a><span class="lineno"> 573</span> }</div>
<div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div>
<div class="line"><a name="l00575"></a><span class="lineno"> 575</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00576"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#afa9683f0ed709a227c267e33b3195ec2"> 576</a></span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a> <a class="code" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">project</a>(<a class="code" href="classviennacl_1_1matrix__range.html">matrix_range<MatrixType></a> <span class="keyword">const</span> & A, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r1, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r2)</div>
<div class="line"><a name="l00577"></a><span class="lineno"> 577</span> {</div>
<div class="line"><a name="l00578"></a><span class="lineno"> 578</span>  assert(r1.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size1() && r2.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size2() && bool(<span class="stringliteral">"Size of slice invalid!"</span>));</div>
<div class="line"><a name="l00579"></a><span class="lineno"> 579</span> </div>
<div class="line"><a name="l00580"></a><span class="lineno"> 580</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a>(A, r1, r2);</div>
<div class="line"><a name="l00581"></a><span class="lineno"> 581</span> }</div>
<div class="line"><a name="l00582"></a><span class="lineno"> 582</span> </div>
<div class="line"><a name="l00583"></a><span class="lineno"> 583</span> <span class="keyword">template</span><<span class="keyword">typename</span> MatrixType></div>
<div class="line"><a name="l00584"></a><span class="lineno"><a class="line" href="namespaceviennacl.html#a5d0d5a12b085b5909596f1d754f0c9e3"> 584</a></span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a> <a class="code" href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">project</a>(<a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a> <span class="keyword">const</span> & A, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r1, <a class="code" href="classviennacl_1_1basic__slice.html">viennacl::slice</a> <span class="keyword">const</span> & r2)</div>
<div class="line"><a name="l00585"></a><span class="lineno"> 585</span> {</div>
<div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  assert(r1.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size1() && r2.<a class="code" href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">size</a>() <= A.size2() && bool(<span class="stringliteral">"Size of slice invalid!"</span>));</div>
<div class="line"><a name="l00587"></a><span class="lineno"> 587</span> </div>
<div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keywordflow">return</span> <a class="code" href="classviennacl_1_1matrix__slice.html">matrix_slice<MatrixType></a>(A, r1, r2);</div>
<div class="line"><a name="l00589"></a><span class="lineno"> 589</span> }</div>
<div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div>
<div class="line"><a name="l00591"></a><span class="lineno"> 591</span> <span class="comment">// TODO: Allow mix of range/slice</span></div>
<div class="line"><a name="l00592"></a><span class="lineno"> 592</span> </div>
<div class="line"><a name="l00593"></a><span class="lineno"> 593</span> }</div>
<div class="line"><a name="l00594"></a><span class="lineno"> 594</span> </div>
<div class="line"><a name="l00595"></a><span class="lineno"> 595</span> <span class="preprocessor">#endif</span></div>
<div class="ttc" id="namespaceviennacl_1_1backend_1_1cpu__ram_html_a3fc1147917966bad9e3786c1d46d4169"><div class="ttname"><a href="namespaceviennacl_1_1backend_1_1cpu__ram.html#a3fc1147917966bad9e3786c1d46d4169">viennacl::backend::cpu_ram::handle_type</a></div><div class="ttdeci">viennacl::tools::shared_ptr< char > handle_type</div><div class="ttdef"><b>Definition:</b> <a href="cpu__ram_8hpp_source.html#l00040">cpu_ram.hpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_ab15ae025d7115f09d1c9687c24474321"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#ab15ae025d7115f09d1c9687c24474321">viennacl::matrix_range::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix_slice< viennacl::matrix< OtherNumericT, F > > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00116">matrix_proxy.hpp:116</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_a1405263a01e16f7bcd4c09fb8eb29bc7"><div class="ttname"><a href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#a1405263a01e16f7bcd4c09fb8eb29bc7">viennacl::matrix_slice< matrix_range< MatrixType > >::handle_type</a></div><div class="ttdeci">MatrixType::handle_type handle_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00415">matrix_proxy.hpp:415</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_aabe80bdcb1d57191aff173806d0b3e31"><div class="ttname"><a href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aabe80bdcb1d57191aff173806d0b3e31">viennacl::matrix_slice< matrix_range< MatrixType > >::matrix_slice</a></div><div class="ttdeci">matrix_slice(MatrixType const &A, slice const &row_slice, slice const &col_slice)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00417">matrix_proxy.hpp:417</a></div></div>
<div class="ttc" id="classviennacl_1_1basic__range_html_aa6e54d5a8c0d51d4310bb57f98bec3eb"><div class="ttname"><a href="classviennacl_1_1basic__range.html#aa6e54d5a8c0d51d4310bb57f98bec3eb">viennacl::basic_range::difference_type</a></div><div class="ttdeci">DistanceT difference_type</div><div class="ttdef"><b>Definition:</b> <a href="range_8hpp_source.html#l00043">range.hpp:43</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a06bdedb2bc72dc1922cada91e9bbbd61"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a06bdedb2bc72dc1922cada91e9bbbd61">viennacl::backend::memory_write</a></div><div class="ttdeci">void memory_write(mem_handle &dst_buffer, vcl_size_t dst_offset, vcl_size_t bytes_to_write, const void *ptr, bool async=false)</div><div class="ttdoc">Writes data from main RAM identified by 'ptr' to the buffer identified by 'dst_buffer'. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00220">memory.hpp:220</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a1d46c33083bf7c74898c69801c25e8cb"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a1d46c33083bf7c74898c69801c25e8cb">viennacl::matrix_range::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix< OtherNumericT, F > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00110">matrix_proxy.hpp:110</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a9f10a6601fa6afe0d38a8f1e6483a90c"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a9f10a6601fa6afe0d38a8f1e6483a90c">viennacl::matrix_slice::reference</a></div><div class="ttdeci">value_type reference</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00374">matrix_proxy.hpp:374</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_aa595c2260e61819b45437e38fe06169a"><div class="ttname"><a href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aa595c2260e61819b45437e38fe06169a">viennacl::matrix_range< matrix_range< MatrixType > >::matrix_range</a></div><div class="ttdeci">matrix_range(matrix_range< MatrixType > const &A, range const &row_range, range const &col_range)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00133">matrix_proxy.hpp:133</a></div></div>
<div class="ttc" id="size_8hpp_html"><div class="ttname"><a href="size_8hpp.html">size.hpp</a></div><div class="ttdoc">Generic size and resize functionality for different vector and matrix types. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html">viennacl::matrix_slice</a></div><div class="ttdoc">Class for representing strided submatrices of a bigger matrix A. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00443">forwards.h:443</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_ae0b8e1d66c44b4ebe8ec71516a36d572"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#ae0b8e1d66c44b4ebe8ec71516a36d572">viennacl::matrix_base::operator=</a></div><div class="ttdeci">self_type & operator=(const self_type &other)</div><div class="ttdef"><b>Definition:</b> <a href="matrix_8hpp_source.html#l00262">matrix.hpp:262</a></div></div>
<div class="ttc" id="classviennacl_1_1basic__slice_html_a58c9942b91aa224c0aa552be7f0a45b0"><div class="ttname"><a href="classviennacl_1_1basic__slice.html#a58c9942b91aa224c0aa552be7f0a45b0">viennacl::basic_slice::size</a></div><div class="ttdeci">size_type size() const </div><div class="ttdef"><b>Definition:</b> <a href="slice_8hpp_source.html#l00056">slice.hpp:56</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_aec19050aa8523003ebd04a0122c8bb2f"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#aec19050aa8523003ebd04a0122c8bb2f">viennacl::matrix_range::size_type</a></div><div class="ttdeci">range::size_type size_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00080">matrix_proxy.hpp:80</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa756f5d6820722094cae0d8b9bb6d5e2"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa756f5d6820722094cae0d8b9bb6d5e2">viennacl::traits::size1</a></div><div class="ttdeci">vcl_size_t size1(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of rows of a matrix (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00163">size.hpp:163</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_aa899c7446878be8a9200e741e4d57fe3"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#aa899c7446878be8a9200e741e4d57fe3">viennacl::matrix_slice::value_type</a></div><div class="ttdeci">MatrixType::value_type value_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00369">matrix_proxy.hpp:369</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html"><div class="ttname"><a href="classviennacl_1_1matrix__base.html">viennacl::matrix_base</a></div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00103">matrix_def.hpp:103</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_ac046c47a64543a2e08fa700e2ca6b034"><div class="ttname"><a href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ac046c47a64543a2e08fa700e2ca6b034">viennacl::matrix_range< matrix_range< MatrixType > >::handle_type</a></div><div class="ttdeci">MatrixType::handle_type handle_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00124">matrix_proxy.hpp:124</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a6178a1a8edf196ce5032738da4877b25"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a6178a1a8edf196ce5032738da4877b25">viennacl::matrix_range::matrix_range</a></div><div class="ttdeci">matrix_range(MatrixType const &A, range const &row_range, range const &col_range)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00086">matrix_proxy.hpp:86</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_af11274e4ec8c01b269f6f928b34242c4"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#af11274e4ec8c01b269f6f928b34242c4">viennacl::matrix_range::handle_type</a></div><div class="ttdeci">MatrixType::handle_type handle_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00078">matrix_proxy.hpp:78</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a0871683c6bdf478a8875a9680c125729"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a0871683c6bdf478a8875a9680c125729">viennacl::matrix_base< MatrixType::cpu_value_type >::stride2</a></div><div class="ttdeci">size_type stride2() const</div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00234">matrix_def.hpp:234</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a09997870f4802fa5d4ac2c43cf4020d1"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">viennacl::traits::stride</a></div><div class="ttdeci">result_of::size_type< viennacl::vector_base< T > >::type stride(viennacl::vector_base< T > const &s)</div><div class="ttdef"><b>Definition:</b> <a href="stride_8hpp_source.html#l00045">stride.hpp:45</a></div></div>
<div class="ttc" id="forwards_8h_html"><div class="ttname"><a href="forwards_8h.html">forwards.h</a></div><div class="ttdoc">This file provides the forward declarations for the main types used within ViennaCL. </div></div>
<div class="ttc" id="classviennacl_1_1matrix_html"><div class="ttname"><a href="classviennacl_1_1matrix.html">viennacl::matrix</a></div><div class="ttdoc">A dense matrix class. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00375">forwards.h:375</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1backend_html_a62854cfd6f04404b274f8ede36f63e2d"><div class="ttname"><a href="namespaceviennacl_1_1backend.html#a62854cfd6f04404b274f8ede36f63e2d">viennacl::backend::memory_read</a></div><div class="ttdeci">void memory_read(mem_handle const &src_buffer, vcl_size_t src_offset, vcl_size_t bytes_to_read, void *ptr, bool async=false)</div><div class="ttdoc">Reads data from a buffer back to main RAM. </div><div class="ttdef"><b>Definition:</b> <a href="memory_8hpp_source.html#l00261">memory.hpp:261</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_afe786a1f980fa21ff95d338784021598"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#afe786a1f980fa21ff95d338784021598">viennacl::matrix_slice::difference_type</a></div><div class="ttdeci">range::difference_type difference_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00373">matrix_proxy.hpp:373</a></div></div>
<div class="ttc" id="matrix__def_8hpp_html"><div class="ttname"><a href="matrix__def_8hpp.html">matrix_def.hpp</a></div><div class="ttdoc">Forward declaration of dense matrix classes. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a294649e885898124628094aa3acd5fa5"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a294649e885898124628094aa3acd5fa5">viennacl::matrix_range::reference</a></div><div class="ttdeci">value_type reference</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00082">matrix_proxy.hpp:82</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a3658e7c29ac0f60a20cb5871f5b5fd98"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a3658e7c29ac0f60a20cb5871f5b5fd98">viennacl::traits::size2</a></div><div class="ttdeci">result_of::size_type< MatrixType >::type size2(MatrixType const &mat)</div><div class="ttdoc">Generic routine for obtaining the number of columns of a matrix (ViennaCL, uBLAS, etc...</div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00201">size.hpp:201</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a4064dc2a15d3ab796852dffb6cfd873b"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a4064dc2a15d3ab796852dffb6cfd873b">viennacl::matrix_range::cpu_value_type</a></div><div class="ttdeci">viennacl::result_of::cpu_value_type< value_type >::type cpu_value_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00079">matrix_proxy.hpp:79</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a73ec32d37eb9c64e2e165abbb7e6d87b"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a73ec32d37eb9c64e2e165abbb7e6d87b">viennacl::matrix_slice::matrix_slice</a></div><div class="ttdeci">matrix_slice(self_type const &other)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00392">matrix_proxy.hpp:392</a></div></div>
<div class="ttc" id="tests_2src_2bisect_8cpp_html_a52b5d30a2d7b064678644a3bf49b7f6c"><div class="ttname"><a href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a></div><div class="ttdeci">float NumericT</div><div class="ttdef"><b>Definition:</b> <a href="tests_2src_2bisect_8cpp_source.html#l00040">bisect.cpp:40</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_ad436ae3cbfcb2ab134f4b8727828259e"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#ad436ae3cbfcb2ab134f4b8727828259e">viennacl::matrix_range::value_type</a></div><div class="ttdeci">MatrixType::value_type value_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00077">matrix_proxy.hpp:77</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_aa2344ea20469f55fbc15a8e9526494d0"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">viennacl::traits::size</a></div><div class="ttdeci">vcl_size_t size(VectorType const &vec)</div><div class="ttdoc">Generic routine for obtaining the size of a vector (ViennaCL, uBLAS, etc.) </div><div class="ttdef"><b>Definition:</b> <a href="size_8hpp_source.html#l00239">size.hpp:239</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a30f8bdd48c7b3f3e470aab2a9d419bd7"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a30f8bdd48c7b3f3e470aab2a9d419bd7">viennacl::matrix_slice::size_type</a></div><div class="ttdeci">range::size_type size_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00372">matrix_proxy.hpp:372</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a100b1ddda26bfd792b34b666c0dc23e2"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a100b1ddda26bfd792b34b666c0dc23e2">viennacl::matrix_range::matrix_range</a></div><div class="ttdeci">matrix_range(self_type const &A, range const &row_range, range const &col_range)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00093">matrix_proxy.hpp:93</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1traits_html_a68603a1e1ca1bfb6d107831ba5096786"><div class="ttname"><a href="namespaceviennacl_1_1traits.html#a68603a1e1ca1bfb6d107831ba5096786">viennacl::traits::start</a></div><div class="ttdeci">result_of::size_type< T >::type start(T const &obj)</div><div class="ttdef"><b>Definition:</b> <a href="start_8hpp_source.html#l00044">start.hpp:44</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a75ffb6e46e07e6ffe2dbaef2d6bb7593"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a75ffb6e46e07e6ffe2dbaef2d6bb7593">viennacl::matrix_slice::matrix_slice</a></div><div class="ttdeci">matrix_slice(MatrixType const &A, slice const &row_slice, slice const &col_slice)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00377">matrix_proxy.hpp:377</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a6d841c457f8442372f9478d968f1fd1b"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a6d841c457f8442372f9478d968f1fd1b">viennacl::matrix_range::difference_type</a></div><div class="ttdeci">range::difference_type difference_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00081">matrix_proxy.hpp:81</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_ae6dc2ea9e181e7305eb258397f2a75f1"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#ae6dc2ea9e181e7305eb258397f2a75f1">viennacl::matrix_range::const_reference</a></div><div class="ttdeci">const value_type & const_reference</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00083">matrix_proxy.hpp:83</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a28087e6cd79a3eb13df18b40092966d3"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a28087e6cd79a3eb13df18b40092966d3">viennacl::matrix_base< MatrixType::cpu_value_type >::stride1</a></div><div class="ttdeci">size_type stride1() const</div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00232">matrix_def.hpp:232</a></div></div>
<div class="ttc" id="namespaceviennacl_html_adc45a895937fe299100e2b235a442748"><div class="ttname"><a href="namespaceviennacl.html#adc45a895937fe299100e2b235a442748">viennacl::project</a></div><div class="ttdeci">matrix_range< MatrixType > project(MatrixType const &A, viennacl::range const &r1, viennacl::range const &r2)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00326">matrix_proxy.hpp:326</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a3a6b55a656dc7ad97e7d2ad9aa625f18"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a3a6b55a656dc7ad97e7d2ad9aa625f18">viennacl::matrix_range::matrix_range</a></div><div class="ttdeci">matrix_range(self_type const &other)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00101">matrix_proxy.hpp:101</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a98a0afcc513111ffa0bd138f891930df"><div class="ttname"><a href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">viennacl::vcl_size_t</a></div><div class="ttdeci">std::size_t vcl_size_t</div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00075">forwards.h:75</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a4348766b3b9cb049f7acd6a795272dbe"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4348766b3b9cb049f7acd6a795272dbe">viennacl::matrix_base< MatrixType::cpu_value_type >::size2</a></div><div class="ttdeci">size_type size2() const</div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00226">matrix_def.hpp:226</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a4082cd3586bc99deb68733257b30c51f"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a4082cd3586bc99deb68733257b30c51f">viennacl::matrix_base< MatrixType::cpu_value_type >::handle</a></div><div class="ttdeci">handle_type & handle()</div><div class="ttdoc">Returns the OpenCL handle, non-const-version. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00244">matrix_def.hpp:244</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_aa8d028e30ba6472a9a632c49b9913e03"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#aa8d028e30ba6472a9a632c49b9913e03">viennacl::matrix_slice::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix_slice< viennacl::matrix< OtherNumericT, F > > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00407">matrix_proxy.hpp:407</a></div></div>
<div class="ttc" id="structviennacl_1_1result__of_1_1cpu__value__type_html_aa015d93f419985879a7c13b09633c5c6"><div class="ttname"><a href="structviennacl_1_1result__of_1_1cpu__value__type.html#aa015d93f419985879a7c13b09633c5c6">viennacl::result_of::cpu_value_type::type</a></div><div class="ttdeci">T::ERROR_CANNOT_DEDUCE_CPU_SCALAR_TYPE_FOR_T type</div><div class="ttdef"><b>Definition:</b> <a href="result__of_8hpp_source.html#l00271">result_of.hpp:271</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a24e4f5fa27a1af5ad47e52a97c065d68"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a24e4f5fa27a1af5ad47e52a97c065d68">viennacl::matrix_base< MatrixType::cpu_value_type >::size1</a></div><div class="ttdeci">size_type size1() const</div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00224">matrix_def.hpp:224</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a383814f6e743f3e864dbe3b05dd8fa71"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a383814f6e743f3e864dbe3b05dd8fa71">viennacl::matrix_slice::handle_type</a></div><div class="ttdeci">MatrixType::handle_type handle_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00370">matrix_proxy.hpp:370</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_ae6b654d0c84a931eb3432a5a7c8cd106"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#ae6b654d0c84a931eb3432a5a7c8cd106">viennacl::matrix_slice::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix< OtherNumericT, F > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00401">matrix_proxy.hpp:401</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a957bc283ab8327eb93ce863c9a734f32"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a957bc283ab8327eb93ce863c9a734f32">viennacl::matrix_slice::matrix_slice</a></div><div class="ttdeci">matrix_slice(self_type const &A, slice const &row_slice, slice const &col_slice)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00384">matrix_proxy.hpp:384</a></div></div>
<div class="ttc" id="namespaceviennacl_html_a10b7f8cf6b8864a7aa196d670481a453"><div class="ttname"><a href="namespaceviennacl.html#a10b7f8cf6b8864a7aa196d670481a453">viennacl::copy</a></div><div class="ttdeci">void copy(std::vector< NumericT > &cpu_vec, circulant_matrix< NumericT, AlignmentV > &gpu_mat)</div><div class="ttdoc">Copies a circulant matrix from the std::vector to the OpenCL device (either GPU or multi-core CPU) ...</div><div class="ttdef"><b>Definition:</b> <a href="circulant__matrix_8hpp_source.html#l00150">circulant_matrix.hpp:150</a></div></div>
<div class="ttc" id="slice_8hpp_html"><div class="ttname"><a href="slice_8hpp.html">slice.hpp</a></div><div class="ttdoc">Implementation of a slice object for use with proxy objects. </div></div>
<div class="ttc" id="classviennacl_1_1basic__range_html"><div class="ttname"><a href="classviennacl_1_1basic__range.html">viennacl::basic_range</a></div><div class="ttdoc">A range class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00424">forwards.h:424</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html_a2bd2b1d5a66cb256ae3ebcefcdc10183"><div class="ttname"><a href="classviennacl_1_1matrix__range.html#a2bd2b1d5a66cb256ae3ebcefcdc10183">viennacl::matrix_range::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix_range< viennacl::matrix< OtherNumericT, F > > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00113">matrix_proxy.hpp:113</a></div></div>
<div class="ttc" id="range_8hpp_html"><div class="ttname"><a href="range_8hpp.html">range.hpp</a></div><div class="ttdoc">Implementation of a range object for use with proxy objects. </div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_af141f5216626734e44b8845981b54b0f"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#af141f5216626734e44b8845981b54b0f">viennacl::matrix_base< MatrixType::cpu_value_type >::start2</a></div><div class="ttdeci">size_type start2() const</div><div class="ttdoc">Returns the number of columns. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00230">matrix_def.hpp:230</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a00e30fdc61081a73995b54175a91d220"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">viennacl::matrix_base< MatrixType::cpu_value_type >::internal_size2</a></div><div class="ttdeci">size_type internal_size2() const</div><div class="ttdoc">Returns the internal number of columns. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00240">matrix_def.hpp:240</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_html"><div class="ttname"><a href="classviennacl_1_1matrix__range.html">viennacl::matrix_range</a></div><div class="ttdoc">Class for representing non-strided submatrices of a bigger matrix A. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00440">forwards.h:440</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1detail_html_adcaee39dfa039f16b069984d08783764"><div class="ttname"><a href="namespaceviennacl_1_1detail.html#adcaee39dfa039f16b069984d08783764">viennacl::detail::matrix_access</a></div><div class="ttdeci">NumericT const & matrix_access(MatrixT const &A, vcl_size_t i, vcl_size_t j)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00039">matrix_proxy.hpp:39</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a82018b4e169973bdfb9d3be68ceb5be0"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">viennacl::matrix_base< MatrixType::cpu_value_type >::internal_size1</a></div><div class="ttdeci">size_type internal_size1() const</div><div class="ttdoc">Returns the internal number of rows. Usually required for launching OpenCL kernels only...</div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00238">matrix_def.hpp:238</a></div></div>
<div class="ttc" id="classviennacl_1_1basic__range_html_af055791c1672b45ca992d0fd6045d5d5"><div class="ttname"><a href="classviennacl_1_1basic__range.html#af055791c1672b45ca992d0fd6045d5d5">viennacl::basic_range::size_type</a></div><div class="ttdeci">SizeT size_type</div><div class="ttdef"><b>Definition:</b> <a href="range_8hpp_source.html#l00042">range.hpp:42</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a38cb8271a86001d19028cc2903546463"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a38cb8271a86001d19028cc2903546463">viennacl::matrix_slice::cpu_value_type</a></div><div class="ttdeci">viennacl::result_of::cpu_value_type< value_type >::type cpu_value_type</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00371">matrix_proxy.hpp:371</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_ad540bf380c5586b66d6ba3745555136f"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#ad540bf380c5586b66d6ba3745555136f">viennacl::matrix_slice::const_reference</a></div><div class="ttdeci">const value_type & const_reference</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00375">matrix_proxy.hpp:375</a></div></div>
<div class="ttc" id="classviennacl_1_1basic__slice_html"><div class="ttname"><a href="classviennacl_1_1basic__slice.html">viennacl::basic_slice</a></div><div class="ttdoc">A slice class that refers to an interval [start, stop), where 'start' is included, and 'stop' is excluded. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00429">forwards.h:429</a></div></div>
<div class="ttc" id="structviennacl_1_1row__major_html"><div class="ttname"><a href="structviennacl_1_1row__major.html">viennacl::row_major</a></div><div class="ttdoc">A tag for row-major storage of a dense matrix. </div><div class="ttdef"><b>Definition:</b> <a href="forwards_8h_source.html#l00304">forwards.h:304</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_ab399b835b9292482c71c2587834bfd7c"><div class="ttname"><a href="classviennacl_1_1matrix__range_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#ab399b835b9292482c71c2587834bfd7c">viennacl::matrix_range< matrix_range< MatrixType > >::matrix_range</a></div><div class="ttdeci">matrix_range(MatrixType const &A, range const &row_range, range const &col_range)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00126">matrix_proxy.hpp:126</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__base_html_a0a523347f5392d5afd43c6b41cbbc6ce"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a0a523347f5392d5afd43c6b41cbbc6ce">viennacl::matrix_base< MatrixType::cpu_value_type >::start1</a></div><div class="ttdeci">size_type start1() const</div><div class="ttdoc">Returns the number of rows. </div><div class="ttdef"><b>Definition:</b> <a href="matrix__def_8hpp_source.html#l00228">matrix_def.hpp:228</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_html_a597f170c876f95c4c6bc3a019f3cedbd"><div class="ttname"><a href="classviennacl_1_1matrix__slice.html#a597f170c876f95c4c6bc3a019f3cedbd">viennacl::matrix_slice::operator=</a></div><div class="ttdeci">base_type & operator=(viennacl::matrix_range< viennacl::matrix< OtherNumericT, F > > const &B)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00404">matrix_proxy.hpp:404</a></div></div>
<div class="ttc" id="classviennacl_1_1basic__range_html_a76e130f45289f502bb75637391b6ebaf"><div class="ttname"><a href="classviennacl_1_1basic__range.html#a76e130f45289f502bb75637391b6ebaf">viennacl::basic_range::size</a></div><div class="ttdeci">size_type size() const </div><div class="ttdef"><b>Definition:</b> <a href="range_8hpp_source.html#l00056">range.hpp:56</a></div></div>
<div class="ttc" id="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4_html_aef18c078f89c2851229dd91422fed2db"><div class="ttname"><a href="classviennacl_1_1matrix__slice_3_01matrix__range_3_01_matrix_type_01_4_01_4.html#aef18c078f89c2851229dd91422fed2db">viennacl::matrix_slice< matrix_range< MatrixType > >::matrix_slice</a></div><div class="ttdeci">matrix_slice(matrix_slice< MatrixType > const &A, slice const &row_slice, slice const &col_slice)</div><div class="ttdef"><b>Definition:</b> <a href="matrix__proxy_8hpp_source.html#l00424">matrix_proxy.hpp:424</a></div></div>
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