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<div class="title">fft_operations.hpp</div> </div>
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<a href="opencl_2fft__operations_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_LINALG_OPENCL_FFT_OPERATIONS_HPP_</span></div>
<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="preprocessor">#define VIENNACL_LINALG_OPENCL_FFT_OPERATIONS_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="device_8hpp.html">viennacl/ocl/device.hpp</a>"</span></div>
<div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="kernel_8hpp.html">viennacl/ocl/kernel.hpp</a>"</span></div>
<div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="traits_2handle_8hpp.html">viennacl/traits/handle.hpp</a>"</span></div>
<div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="stride_8hpp.html">viennacl/traits/stride.hpp</a>"</span></div>
<div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#include "<a class="code" href="host__based_2fft__operations_8hpp.html">viennacl/linalg/host_based/fft_operations.hpp</a>"</span></div>
<div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2fft_8hpp.html">viennacl/linalg/opencl/kernels/fft.hpp</a>"</span></div>
<div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor">#include "<a class="code" href="linalg_2opencl_2kernels_2matrix_8hpp.html">viennacl/linalg/opencl/kernels/matrix.hpp</a>"</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="preprocessor">#include <<a class="code" href="vector_8hpp.html">viennacl/vector.hpp</a>></span></div>
<div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor">#include <<a class="code" href="matrix_8hpp.html">viennacl/matrix.hpp</a>></span></div>
<div class="line"><a name="l00036"></a><span class="lineno"> 36</span> </div>
<div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor">#include <cmath></span></div>
<div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#include <stdexcept></span></div>
<div class="line"><a name="l00039"></a><span class="lineno"> 39</span> </div>
<div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keyword">namespace </span>viennacl</div>
<div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div>
<div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword">namespace </span>linalg</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">namespace </span>detail</div>
<div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div>
<div class="line"><a name="l00046"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html"> 46</a></span> <span class="keyword">namespace </span><a class="code" href="fft__1d_8cpp.html#a56353420d188d1181ae49bf69283b497">fft</a></div>
<div class="line"><a name="l00047"></a><span class="lineno"> 47</span> {</div>
<div class="line"><a name="l00048"></a><span class="lineno"> 48</span> </div>
<div class="line"><a name="l00049"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4e9922fb38a92859cebcb2d4366cac40"> 49</a></span>  <span class="keyword">const</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4e9922fb38a92859cebcb2d4366cac40">MAX_LOCAL_POINTS_NUM</a> = 512;</div>
<div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div>
<div class="line"><a name="l00054"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4b510a646bf1fa6cf85b8df1d37e696f"> 54</a></span>  <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4b510a646bf1fa6cf85b8df1d37e696f">num_bits</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>)</div>
<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div>
<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> bits_datasize = 0;</div>
<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> ds = 1;</div>
<div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div>
<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">while</span> (ds < size)</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>  ds = ds << 1;</div>
<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  bits_datasize++;</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>  <span class="keywordflow">return</span> bits_datasize;</div>
<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  }</div>
<div class="line"><a name="l00067"></a><span class="lineno"> 67</span> </div>
<div class="line"><a name="l00071"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a26cc8c388060b9785276efa43df28350"> 71</a></span>  <span class="keyword">inline</span> <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a26cc8c388060b9785276efa43df28350">next_power_2</a>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> n)</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>  n = n - 1;</div>
<div class="line"><a name="l00074"></a><span class="lineno"> 74</span> </div>
<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> power = 1;</div>
<div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div>
<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">while</span> (power < <span class="keyword">sizeof</span>(<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a>) * 8)</div>
<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div>
<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  n = n | (n >> power);</div>
<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  power *= 2;</div>
<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div>
<div class="line"><a name="l00082"></a><span class="lineno"> 82</span> </div>
<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keywordflow">return</span> n + 1;</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"> 86</span> } <span class="comment">//namespce fft</span></div>
<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> } <span class="comment">//namespace detail</span></div>
<div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div>
<div class="line"><a name="l00089"></a><span class="lineno"> 89</span> <span class="keyword">namespace </span>opencl</div>
<div class="line"><a name="l00090"></a><span class="lineno"> 90</span> {</div>
<div class="line"><a name="l00091"></a><span class="lineno"> 91</span> </div>
<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#aa793781a3fde5be3d2c608f3802538e0"> 99</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#aa793781a3fde5be3d2c608f3802538e0">direct</a>(<a class="code" href="classviennacl_1_1ocl_1_1handle.html">viennacl::ocl::handle<cl_mem></a> <span class="keyword">const</span> & in,</div>
<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <a class="code" href="classviennacl_1_1ocl_1_1handle.html">viennacl::ocl::handle<cl_mem></a> <span class="keyword">const</span> & out,</div>
<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> batch_num, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">sign</a> = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(-1),</div>
<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER</a> data_order = <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2afffdaee3461226037812d7c99faf6e1b">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR</a>)</div>
<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> {</div>
<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(in.<a class="code" href="classviennacl_1_1ocl_1_1handle.html#aabb9d0a4beed00a52500de6047651135">context</a>());</div>
<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div>
<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::string program_string = <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::program_name</a>();</div>
<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">if</span> (data_order == <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2ab023e0d434670522cca0f9ae34e590fe">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::COL_MAJOR</a>)</div>
<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div>
<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::init</a>(ctx);</div>
<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  program_string =</div>
<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::program_name</a>();</div>
<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::init</a>(ctx);</div>
<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> </div>
<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(program_string, <span class="stringliteral">"fft_direct"</span>);</div>
<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in, out,</div>
<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  static_cast<cl_uint>(size),</div>
<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  static_cast<cl_uint>(stride),</div>
<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  static_cast<cl_uint>(batch_num),</div>
<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">sign</a>)</div>
<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  );</div>
<div class="line"><a name="l00123"></a><span class="lineno"> 123</span> }</div>
<div class="line"><a name="l00124"></a><span class="lineno"> 124</span> </div>
<div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="comment">/*</span></div>
<div class="line"><a name="l00126"></a><span class="lineno"> 126</span> <span class="comment"> * This function performs reorder of input data. Indexes are sorted in bit-reversal order.</span></div>
<div class="line"><a name="l00127"></a><span class="lineno"> 127</span> <span class="comment"> * Such reordering should be done before in-place FFT.</span></div>
<div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="comment"> */</span></div>
<div class="line"><a name="l00129"></a><span class="lineno"> 129</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00130"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#af6f07b4ef9acd085eeccf36d5d5f0868"> 130</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#af6f07b4ef9acd085eeccf36d5d5f0868">reorder</a>(<a class="code" href="classviennacl_1_1ocl_1_1handle.html">viennacl::ocl::handle<cl_mem></a> <span class="keyword">const</span> & in,</div>
<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> stride,</div>
<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> bits_datasize, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> batch_num,</div>
<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER</a> data_order = <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2afffdaee3461226037812d7c99faf6e1b">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR</a>)</div>
<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div>
<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(in.<a class="code" href="classviennacl_1_1ocl_1_1handle.html#aabb9d0a4beed00a52500de6047651135">context</a>());</div>
<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div>
<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  std::string program_string = <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::program_name</a>();</div>
<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">if</span> (data_order == <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2ab023e0d434670522cca0f9ae34e590fe">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::COL_MAJOR</a>)</div>
<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  {</div>
<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::init</a>(ctx);</div>
<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  program_string = <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::program_name</a>();</div>
<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::init</a>(ctx);</div>
<div class="line"><a name="l00145"></a><span class="lineno"> 145</span> </div>
<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(program_string, <span class="stringliteral">"fft_reorder"</span>);</div>
<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in,</div>
<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  static_cast<cl_uint>(bits_datasize), static_cast<cl_uint>(size),</div>
<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  static_cast<cl_uint>(stride), static_cast<cl_uint>(batch_num))</div>
<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  );</div>
<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div>
<div class="line"><a name="l00152"></a><span class="lineno"> 152</span> </div>
<div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00161"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a1b006c21985b1c6454cec4a7ad66a381"> 161</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a1b006c21985b1c6454cec4a7ad66a381">radix2</a>(<a class="code" href="classviennacl_1_1ocl_1_1handle.html">viennacl::ocl::handle<cl_mem></a> <span class="keyword">const</span> & in,</div>
<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> stride,</div>
<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> batch_num, <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">sign</a> = <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>(-1),</div>
<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER</a> data_order = <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2afffdaee3461226037812d7c99faf6e1b">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR</a>)</div>
<div class="line"><a name="l00165"></a><span class="lineno"> 165</span> {</div>
<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(in.<a class="code" href="classviennacl_1_1ocl_1_1handle.html#aabb9d0a4beed00a52500de6047651135">context</a>());</div>
<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</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>  assert(batch_num != 0 && <span class="keywordtype">bool</span>(<span class="stringliteral">"batch_num must be larger than 0"</span>));</div>
<div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div>
<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  std::string program_string = <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::program_name</a>();</div>
<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="keywordflow">if</span> (data_order == <a class="code" href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2ab023e0d434670522cca0f9ae34e590fe">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::COL_MAJOR</a>)</div>
<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  {</div>
<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::init</a>(ctx);</div>
<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  program_string = <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, column_major>::program_name</a>();</div>
<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  } <span class="keywordflow">else</span></div>
<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy<NumericT, row_major>::init</a>(ctx);</div>
<div class="line"><a name="l00178"></a><span class="lineno"> 178</span> </div>
<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> bits_datasize = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4b510a646bf1fa6cf85b8df1d37e696f">viennacl::linalg::detail::fft::num_bits</a>(size);</div>
<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">if</span> (size <= <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4e9922fb38a92859cebcb2d4366cac40">viennacl::linalg::detail::fft::MAX_LOCAL_POINTS_NUM</a>)</div>
<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  {</div>
<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(program_string, <span class="stringliteral">"fft_radix2_local"</span>);</div>
<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in,</div>
<div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a>((size * 4) * <span class="keyword">sizeof</span>(<a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a>)),</div>
<div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  static_cast<cl_uint>(bits_datasize), static_cast<cl_uint>(size),</div>
<div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  static_cast<cl_uint>(stride), static_cast<cl_uint>(batch_num), <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">sign</a>));</div>
<div class="line"><a name="l00187"></a><span class="lineno"> 187</span> </div>
<div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  }</div>
<div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  <span class="keywordflow">else</span></div>
<div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  {</div>
<div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  viennacl::linalg::opencl::reorder<NumericT>(in, <a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>, <a class="code" href="namespaceviennacl_1_1traits.html#a09997870f4802fa5d4ac2c43cf4020d1">stride</a>, bits_datasize, batch_num);</div>
<div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div>
<div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  <span class="keywordflow">for</span> (<a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <a class="code" href="least-squares_8cpp.html#a3bd576e398e7f02a27a19950bb8530ad">step</a> = 0; <a class="code" href="least-squares_8cpp.html#a3bd576e398e7f02a27a19950bb8530ad">step</a> < bits_datasize; <a class="code" href="least-squares_8cpp.html#a3bd576e398e7f02a27a19950bb8530ad">step</a>++)</div>
<div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  {</div>
<div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(program_string, <span class="stringliteral">"fft_radix2"</span>);</div>
<div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in,</div>
<div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  static_cast<cl_uint>(<a class="code" href="least-squares_8cpp.html#a3bd576e398e7f02a27a19950bb8530ad">step</a>), static_cast<cl_uint>(bits_datasize),</div>
<div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  static_cast<cl_uint>(size), static_cast<cl_uint>(stride),</div>
<div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  static_cast<cl_uint>(batch_num), <a class="code" href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">sign</a>));</div>
<div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  }</div>
<div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  }</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> </div>
<div class="line"><a name="l00211"></a><span class="lineno"> 211</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00212"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c68275a2d4ecac596bc102a4ecde7af"> 212</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c68275a2d4ecac596bc102a4ecde7af">bluestein</a>(<a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a>& in,</div>
<div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a>& out, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> <span class="comment">/*batch_num*/</span>)</div>
<div class="line"><a name="l00214"></a><span class="lineno"> 214</span> {</div>
<div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(in).context());</div>
<div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div>
<div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size = in.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>() >> 1;</div>
<div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> ext_size = <a class="code" href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a26cc8c388060b9785276efa43df28350">viennacl::linalg::detail::fft::next_power_2</a>(2 * size - 1);</div>
<div class="line"><a name="l00220"></a><span class="lineno"> 220</span> </div>
<div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> A(ext_size << 1);</div>
<div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> B(ext_size << 1);</div>
<div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> Z(ext_size << 1);</div>
<div class="line"><a name="l00224"></a><span class="lineno"> 224</span> </div>
<div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  {</div>
<div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"zero2"</span>);</div>
<div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(A, B, static_cast<cl_uint>(ext_size)));</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>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"bluestein_pre"</span>);</div>
<div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in, A, B, static_cast<cl_uint>(size), static_cast<cl_uint>(ext_size)));</div>
<div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div>
<div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div>
<div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <a class="code" href="namespaceviennacl_1_1linalg.html#a7b596f98d234d40fe9460d0077d1fcc3">viennacl::linalg::convolve_i</a>(A, B, Z);</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>  {</div>
<div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"bluestein_post"</span>);</div>
<div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(Z, out, static_cast<cl_uint>(size)));</div>
<div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  }</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> </div>
<div class="line"><a name="l00245"></a><span class="lineno"> 245</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00246"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7a3b6214329a69e393456e5476643da4"> 246</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a7a3b6214329a69e393456e5476643da4">multiply_complex</a>(<a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> <span class="keyword">const</span> & input1,</div>
<div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> <span class="keyword">const</span> & input2,</div>
<div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> & output)</div>
<div class="line"><a name="l00249"></a><span class="lineno"> 249</span> {</div>
<div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(input1).context());</div>
<div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size = input1.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>() >> 1;</div>
<div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"fft_mult_vec"</span>);</div>
<div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(input1, input2, output, static_cast<cl_uint>(size)));</div>
<div class="line"><a name="l00255"></a><span class="lineno"> 255</span> }</div>
<div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div>
<div class="line"><a name="l00260"></a><span class="lineno"> 260</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00261"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c3ec6e5ff9ab79321aa9a172bc01217"> 261</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c3ec6e5ff9ab79321aa9a172bc01217">normalize</a>(<a class="code" href="classviennacl_1_1vector.html">viennacl::vector<NumericT, AlignmentV></a> & input)</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>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(input).context());</div>
<div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</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="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"fft_div_vec_scalar"</span>);</div>
<div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div>
<div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size = input.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>() >> 1;</div>
<div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a> norm_factor = <span class="keyword">static_cast<</span><a class="code" href="tests_2src_2bisect_8cpp.html#a52b5d30a2d7b064678644a3bf49b7f6c">NumericT</a><span class="keyword">></span>(<a class="code" href="namespaceviennacl_1_1traits.html#aa2344ea20469f55fbc15a8e9526494d0">size</a>);</div>
<div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(input, static_cast<cl_uint>(size), norm_factor));</div>
<div class="line"><a name="l00271"></a><span class="lineno"> 271</span> }</div>
<div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div>
<div class="line"><a name="l00276"></a><span class="lineno"> 276</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00277"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a4175ed00a2602908a1e26d735c3349aa"> 277</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a4175ed00a2602908a1e26d735c3349aa">transpose</a>(<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT, viennacl::row_major, AlignmentV></a> & input)</div>
<div class="line"><a name="l00278"></a><span class="lineno"> 278</span> {</div>
<div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(input).context());</div>
<div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00281"></a><span class="lineno"> 281</span> </div>
<div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"transpose_inplace"</span>);</div>
<div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(input, static_cast<cl_uint>(input.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() >> 1),</div>
<div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  static_cast<cl_uint>(input.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>()) >> 1));</div>
<div class="line"><a name="l00285"></a><span class="lineno"> 285</span> }</div>
<div class="line"><a name="l00286"></a><span class="lineno"> 286</span> </div>
<div class="line"><a name="l00290"></a><span class="lineno"> 290</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> AlignmentV></div>
<div class="line"><a name="l00291"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a6c0011a9f0af1adbb45b9967fabfdea6"> 291</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a4175ed00a2602908a1e26d735c3349aa">transpose</a>(<a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT, viennacl::row_major, AlignmentV></a> <span class="keyword">const</span> & input,</div>
<div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <a class="code" href="classviennacl_1_1matrix.html">viennacl::matrix<NumericT, viennacl::row_major, AlignmentV></a> & output)</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="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(input).context());</div>
<div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div>
<div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"transpose"</span>);</div>
<div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(input, output, static_cast<cl_uint>(input.<a class="code" href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">internal_size1</a>() >> 1),</div>
<div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  static_cast<cl_uint>(input.<a class="code" href="classviennacl_1_1matrix__base.html#a00e30fdc61081a73995b54175a91d220">internal_size2</a>() >> 1)));</div>
<div class="line"><a name="l00300"></a><span class="lineno"> 300</span> }</div>
<div class="line"><a name="l00301"></a><span class="lineno"> 301</span> </div>
<div class="line"><a name="l00305"></a><span class="lineno"> 305</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00306"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a1d99dc6015c8864a1b6ed28f813213f5"> 306</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a1d99dc6015c8864a1b6ed28f813213f5">real_to_complex</a>(<a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & in,</div>
<div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & out, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size)</div>
<div class="line"><a name="l00308"></a><span class="lineno"> 308</span> {</div>
<div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(in).context());</div>
<div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div>
<div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a> & k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"real_to_complex"</span>);</div>
<div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in, out, static_cast<cl_uint>(size)));</div>
<div class="line"><a name="l00314"></a><span class="lineno"> 314</span> }</div>
<div class="line"><a name="l00315"></a><span class="lineno"> 315</span> </div>
<div class="line"><a name="l00319"></a><span class="lineno"> 319</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00320"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae3d993c18bd47b02a185299a606d6b6a"> 320</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#ae3d993c18bd47b02a185299a606d6b6a">complex_to_real</a>(<a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> <span class="keyword">const</span> & in,</div>
<div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a> & out, <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size)</div>
<div class="line"><a name="l00322"></a><span class="lineno"> 322</span> {</div>
<div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(in).context());</div>
<div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</div>
<div class="line"><a name="l00325"></a><span class="lineno"> 325</span> </div>
<div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"complex_to_real"</span>);</div>
<div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in, out, static_cast<cl_uint>(size)));</div>
<div class="line"><a name="l00328"></a><span class="lineno"> 328</span> }</div>
<div class="line"><a name="l00329"></a><span class="lineno"> 329</span> </div>
<div class="line"><a name="l00333"></a><span class="lineno"> 333</span> <span class="keyword">template</span><<span class="keyword">typename</span> NumericT></div>
<div class="line"><a name="l00334"></a><span class="lineno"><a class="line" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0471ee9c12af0be8cd6c3e231099da17"> 334</a></span> <span class="keywordtype">void</span> <a class="code" href="namespaceviennacl_1_1linalg_1_1opencl.html#a0471ee9c12af0be8cd6c3e231099da17">reverse</a>(<a class="code" href="classviennacl_1_1vector__base.html">viennacl::vector_base<NumericT></a>& in)</div>
<div class="line"><a name="l00335"></a><span class="lineno"> 335</span> {</div>
<div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> & ctx = <span class="keyword">const_cast<</span><a class="code" href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a> &<span class="keyword">></span>(viennacl::traits::opencl_handle(in).context());</div>
<div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  <a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft<NumericT>::init</a>(ctx);</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>  <a class="code" href="namespaceviennacl.html#a98a0afcc513111ffa0bd138f891930df">vcl_size_t</a> size = in.<a class="code" href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">size</a>();</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>  <a class="code" href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a>& k = ctx.<a class="code" href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">get_kernel</a>(<a class="code" href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft<NumericT>::program_name</a>(), <span class="stringliteral">"reverse_inplace"</span>);</div>
<div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  <a class="code" href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a>(k(in, static_cast<cl_uint>(size)));</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">//namespace opencl</span></div>
<div class="line"><a name="l00346"></a><span class="lineno"> 346</span> } <span class="comment">//namespace linalg</span></div>
<div class="line"><a name="l00347"></a><span class="lineno"> 347</span> } <span class="comment">//namespace viennacl</span></div>
<div class="line"><a name="l00348"></a><span class="lineno"> 348</span> </div>
<div class="line"><a name="l00349"></a><span class="lineno"> 349</span> <span class="preprocessor">#endif </span><span class="comment">/* FFT_OPERATIONS_HPP_ */</span><span class="preprocessor"></span></div>
<div class="line"><a name="l00350"></a><span class="lineno"> 350</span> </div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_af6f07b4ef9acd085eeccf36d5d5f0868"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#af6f07b4ef9acd085eeccf36d5d5f0868">viennacl::linalg::opencl::reorder</a></div><div class="ttdeci">void reorder(viennacl::ocl::handle< cl_mem > const &in, vcl_size_t size, vcl_size_t stride, vcl_size_t bits_datasize, vcl_size_t batch_num, viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER data_order=viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR)</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00130">fft_operations.hpp:130</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2fft_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2fft_8hpp.html">fft.hpp</a></div><div class="ttdoc">OpenCL kernel file for FFT operations. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_1_1fft_html_a26cc8c388060b9785276efa43df28350"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a26cc8c388060b9785276efa43df28350">viennacl::linalg::detail::fft::next_power_2</a></div><div class="ttdeci">vcl_size_t next_power_2(vcl_size_t n)</div><div class="ttdoc">Find next power of two. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00071">fft_operations.hpp:71</a></div></div>
<div class="ttc" id="device_8hpp_html"><div class="ttname"><a href="device_8hpp.html">device.hpp</a></div><div class="ttdoc">Represents an OpenCL device within ViennaCL. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r_html_aac2583f16e35875f2696e9220bd262f2"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER</a></div><div class="ttdeci">DATA_ORDER</div><div class="ttdef"><b>Definition:</b> <a href="host__based_2fft__operations_8hpp_source.html#l00049">fft_operations.hpp:49</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_ae3d993c18bd47b02a185299a606d6b6a"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#ae3d993c18bd47b02a185299a606d6b6a">viennacl::linalg::opencl::complex_to_real</a></div><div class="ttdeci">void complex_to_real(viennacl::vector_base< NumericT > const &in, viennacl::vector_base< NumericT > &out, vcl_size_t size)</div><div class="ttdoc">Create real vector from complex vector (even elements(2*k) = real part, odd elements(2*k+1) = imagina...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00320">fft_operations.hpp:320</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1kernel_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1kernel.html">viennacl::ocl::kernel</a></div><div class="ttdoc">Represents an OpenCL kernel within ViennaCL. </div><div class="ttdef"><b>Definition:</b> <a href="kernel_8hpp_source.html#l00058">kernel.hpp:58</a></div></div>
<div class="ttc" id="matrix_8hpp_html"><div class="ttname"><a href="matrix_8hpp.html">matrix.hpp</a></div><div class="ttdoc">Implementation of the dense matrix class. </div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft_html"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html">viennacl::linalg::opencl::kernels::fft</a></div><div class="ttdoc">Main kernel class for generating OpenCL kernels for the fast Fourier transform. </div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2fft_8hpp_source.html#l00260">fft.hpp:260</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html">viennacl::ocl::context</a></div><div class="ttdoc">Manages an OpenCL context and provides the respective convenience functions for creating buffers...</div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00055">context.hpp:55</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="least-squares_8cpp_html_a3bd576e398e7f02a27a19950bb8530ad"><div class="ttname"><a href="least-squares_8cpp.html#a3bd576e398e7f02a27a19950bb8530ad">step</a></div><div class="ttdeci">endcode *Final step</div><div class="ttdef"><b>Definition:</b> <a href="least-squares_8cpp_source.html#l00145">least-squares.cpp:145</a></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="stride_8hpp_html"><div class="ttname"><a href="stride_8hpp.html">stride.hpp</a></div><div class="ttdoc">Determines row and column increments for matrices and matrix proxies. </div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a4175ed00a2602908a1e26d735c3349aa"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a4175ed00a2602908a1e26d735c3349aa">viennacl::linalg::opencl::transpose</a></div><div class="ttdeci">void transpose(viennacl::matrix< NumericT, viennacl::row_major, AlignmentV > &input)</div><div class="ttdoc">Inplace_transpose matrix. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00277">fft_operations.hpp:277</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1handle_html_aabb9d0a4beed00a52500de6047651135"><div class="ttname"><a href="classviennacl_1_1ocl_1_1handle.html#aabb9d0a4beed00a52500de6047651135">viennacl::ocl::handle::context</a></div><div class="ttdeci">viennacl::ocl::context const & context() const </div><div class="ttdef"><b>Definition:</b> <a href="ocl_2handle_8hpp_source.html#l00193">handle.hpp:193</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="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r_html_aac2583f16e35875f2696e9220bd262f2afffdaee3461226037812d7c99faf6e1b"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2afffdaee3461226037812d7c99faf6e1b">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR</a></div><div class="ttdef"><b>Definition:</b> <a href="host__based_2fft__operations_8hpp_source.html#l00051">fft_operations.hpp:51</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_1ocl_1_1local__mem_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1local__mem.html">viennacl::ocl::local_mem</a></div><div class="ttdoc">A class representing local (shared) OpenCL memory. Typically used as kernel argument. </div><div class="ttdef"><b>Definition:</b> <a href="local__mem_8hpp_source.html#l00033">local_mem.hpp:33</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1context_html_afe68ad8c2df449f40f45db6605038946"><div class="ttname"><a href="classviennacl_1_1ocl_1_1context.html#afe68ad8c2df449f40f45db6605038946">viennacl::ocl::context::get_kernel</a></div><div class="ttdeci">viennacl::ocl::kernel & get_kernel(std::string const &program_name, std::string const &kernel_name)</div><div class="ttdoc">Convenience function for retrieving the kernel of a program directly from the context. </div><div class="ttdef"><b>Definition:</b> <a href="ocl_2context_8hpp_source.html#l00605">context.hpp:605</a></div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy_html_a3ab40543cb910fc04056dc80bd6263a9"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a3ab40543cb910fc04056dc80bd6263a9">viennacl::linalg::opencl::kernels::matrix_legacy::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2matrix_8hpp_source.html#l01025">matrix.hpp:1025</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html"><div class="ttname"><a href="classviennacl_1_1vector__base.html">viennacl::vector_base< NumericT ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a1b006c21985b1c6454cec4a7ad66a381"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a1b006c21985b1c6454cec4a7ad66a381">viennacl::linalg::opencl::radix2</a></div><div class="ttdeci">void radix2(viennacl::ocl::handle< cl_mem > const &in, vcl_size_t size, vcl_size_t stride, vcl_size_t batch_num, NumericT sign=NumericT(-1), viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER data_order=viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR)</div><div class="ttdoc">Radix-2 algorithm for computing Fourier transformation. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00161">fft_operations.hpp:161</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a0471ee9c12af0be8cd6c3e231099da17"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a0471ee9c12af0be8cd6c3e231099da17">viennacl::linalg::opencl::reverse</a></div><div class="ttdeci">void reverse(viennacl::vector_base< NumericT > &in)</div><div class="ttdoc">Reverse vector to oposite order and save it in input vector. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00334">fft_operations.hpp:334</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a1d99dc6015c8864a1b6ed28f813213f5"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a1d99dc6015c8864a1b6ed28f813213f5">viennacl::linalg::opencl::real_to_complex</a></div><div class="ttdeci">void real_to_complex(viennacl::vector_base< NumericT > const &in, viennacl::vector_base< NumericT > &out, vcl_size_t size)</div><div class="ttdoc">Create complex vector from real vector (even elements(2*k) = real part, odd elements(2*k+1) = imagina...</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00306">fft_operations.hpp:306</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="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy_html_a1f4b3cf314bdae1679b09cafe1adb4ed"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1matrix__legacy.html#a1f4b3cf314bdae1679b09cafe1adb4ed">viennacl::linalg::opencl::kernels::matrix_legacy::program_name</a></div><div class="ttdeci">static std::string program_name()</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2matrix_8hpp_source.html#l01020">matrix.hpp:1020</a></div></div>
<div class="ttc" id="classviennacl_1_1vector_html"><div class="ttname"><a href="classviennacl_1_1vector.html">viennacl::vector< NumericT, AlignmentV ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_html_a7b596f98d234d40fe9460d0077d1fcc3"><div class="ttname"><a href="namespaceviennacl_1_1linalg.html#a7b596f98d234d40fe9460d0077d1fcc3">viennacl::linalg::convolve_i</a></div><div class="ttdeci">void convolve_i(viennacl::vector< SCALARTYPE, ALIGNMENT > &input1, viennacl::vector< SCALARTYPE, ALIGNMENT > &input2, viennacl::vector< SCALARTYPE, ALIGNMENT > &output)</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r_html_aac2583f16e35875f2696e9220bd262f2ab023e0d434670522cca0f9ae34e590fe"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1host__based_1_1detail_1_1fft_1_1_f_f_t___d_a_t_a___o_r_d_e_r.html#aac2583f16e35875f2696e9220bd262f2ab023e0d434670522cca0f9ae34e590fe">viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::COL_MAJOR</a></div><div class="ttdef"><b>Definition:</b> <a href="host__based_2fft__operations_8hpp_source.html#l00051">fft_operations.hpp:51</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_1_1fft_html_a4e9922fb38a92859cebcb2d4366cac40"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4e9922fb38a92859cebcb2d4366cac40">viennacl::linalg::detail::fft::MAX_LOCAL_POINTS_NUM</a></div><div class="ttdeci">const vcl_size_t MAX_LOCAL_POINTS_NUM</div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00049">fft_operations.hpp:49</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1ocl_html_a5f2022f653ea1cf364d20e3ff84dcada"><div class="ttname"><a href="namespaceviennacl_1_1ocl.html#a5f2022f653ea1cf364d20e3ff84dcada">viennacl::ocl::enqueue</a></div><div class="ttdeci">void enqueue(KernelType &k, viennacl::ocl::command_queue const &queue)</div><div class="ttdoc">Enqueues a kernel in the provided queue. </div><div class="ttdef"><b>Definition:</b> <a href="enqueue_8hpp_source.html#l00050">enqueue.hpp:50</a></div></div>
<div class="ttc" id="kernel_8hpp_html"><div class="ttname"><a href="kernel_8hpp.html">kernel.hpp</a></div><div class="ttdoc">Representation of an OpenCL kernel in ViennaCL. </div></div>
<div class="ttc" id="vector_8hpp_html"><div class="ttname"><a href="vector_8hpp.html">vector.hpp</a></div><div class="ttdoc">The vector type with operator-overloads and proxy classes is defined here. Linear algebra operations ...</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a7a3b6214329a69e393456e5476643da4"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a7a3b6214329a69e393456e5476643da4">viennacl::linalg::opencl::multiply_complex</a></div><div class="ttdeci">void multiply_complex(viennacl::vector< NumericT, AlignmentV > const &input1, viennacl::vector< NumericT, AlignmentV > const &input2, viennacl::vector< NumericT, AlignmentV > &output)</div><div class="ttdoc">Mutiply two complex vectors and store result in output. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00246">fft_operations.hpp:246</a></div></div>
<div class="ttc" id="classviennacl_1_1vector__base_html_a15c47ae4326098aeaa4ed6b91fc6df9b"><div class="ttname"><a href="classviennacl_1_1vector__base.html#a15c47ae4326098aeaa4ed6b91fc6df9b">viennacl::vector_base::size</a></div><div class="ttdeci">size_type size() const </div><div class="ttdoc">Returns the length of the vector (cf. std::vector) </div><div class="ttdef"><b>Definition:</b> <a href="vector__def_8hpp_source.html#l00118">vector_def.hpp:118</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_aa793781a3fde5be3d2c608f3802538e0"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#aa793781a3fde5be3d2c608f3802538e0">viennacl::linalg::opencl::direct</a></div><div class="ttdeci">void direct(viennacl::ocl::handle< cl_mem > const &in, viennacl::ocl::handle< cl_mem > const &out, vcl_size_t size, vcl_size_t stride, vcl_size_t batch_num, NumericT sign=NumericT(-1), viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::DATA_ORDER data_order=viennacl::linalg::host_based::detail::fft::FFT_DATA_ORDER::ROW_MAJOR)</div><div class="ttdoc">Direct algorithm for computing Fourier transformation. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00099">fft_operations.hpp:99</a></div></div>
<div class="ttc" id="host__based_2fft__operations_8hpp_html"><div class="ttname"><a href="host__based_2fft__operations_8hpp.html">fft_operations.hpp</a></div><div class="ttdoc">Implementations of Fast Furier Transformation using a plain single-threaded or OpenMP-enabled executi...</div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_1_1fft_html_a4b510a646bf1fa6cf85b8df1d37e696f"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail_1_1fft.html#a4b510a646bf1fa6cf85b8df1d37e696f">viennacl::linalg::detail::fft::num_bits</a></div><div class="ttdeci">vcl_size_t num_bits(vcl_size_t size)</div><div class="ttdoc">Get number of bits. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00054">fft_operations.hpp:54</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< NumericT >::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__base_html_a82018b4e169973bdfb9d3be68ceb5be0"><div class="ttname"><a href="classviennacl_1_1matrix__base.html#a82018b4e169973bdfb9d3be68ceb5be0">viennacl::matrix_base< NumericT >::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="traits_2handle_8hpp_html"><div class="ttname"><a href="traits_2handle_8hpp.html">handle.hpp</a></div><div class="ttdoc">Extracts the underlying OpenCL handle from a vector, a matrix, an expression etc. ...</div></div>
<div class="ttc" id="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft_html_a30d107e22096060358bbd50b918c2d1e"><div class="ttname"><a href="structviennacl_1_1linalg_1_1opencl_1_1kernels_1_1fft.html#a30d107e22096060358bbd50b918c2d1e">viennacl::linalg::opencl::kernels::fft::init</a></div><div class="ttdeci">static void init(viennacl::ocl::context &ctx)</div><div class="ttdef"><b>Definition:</b> <a href="linalg_2opencl_2kernels_2fft_8hpp_source.html#l00267">fft.hpp:267</a></div></div>
<div class="ttc" id="classviennacl_1_1ocl_1_1handle_html"><div class="ttname"><a href="classviennacl_1_1ocl_1_1handle.html">viennacl::ocl::handle< cl_mem ></a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a8c3ec6e5ff9ab79321aa9a172bc01217"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c3ec6e5ff9ab79321aa9a172bc01217">viennacl::linalg::opencl::normalize</a></div><div class="ttdeci">void normalize(viennacl::vector< NumericT, AlignmentV > &input)</div><div class="ttdoc">Normalize vector on with his own size. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00261">fft_operations.hpp:261</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1opencl_html_a8c68275a2d4ecac596bc102a4ecde7af"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1opencl.html#a8c68275a2d4ecac596bc102a4ecde7af">viennacl::linalg::opencl::bluestein</a></div><div class="ttdeci">void bluestein(viennacl::vector< NumericT, AlignmentV > &in, viennacl::vector< NumericT, AlignmentV > &out, vcl_size_t)</div><div class="ttdoc">Bluestein's algorithm for computing Fourier transformation. </div><div class="ttdef"><b>Definition:</b> <a href="opencl_2fft__operations_8hpp_source.html#l00212">fft_operations.hpp:212</a></div></div>
<div class="ttc" id="linalg_2opencl_2kernels_2matrix_8hpp_html"><div class="ttname"><a href="linalg_2opencl_2kernels_2matrix_8hpp.html">matrix.hpp</a></div><div class="ttdoc">Runtime generation of OpenCL kernels for matrix operations. </div></div>
<div class="ttc" id="fft__1d_8cpp_html_a56353420d188d1181ae49bf69283b497"><div class="ttname"><a href="fft__1d_8cpp.html#a56353420d188d1181ae49bf69283b497">fft</a></div><div class="ttdeci">ScalarType fft(std::vector< ScalarType > &in, std::vector< ScalarType > &out, unsigned int, unsigned int, unsigned int batch_size)</div><div class="ttdef"><b>Definition:</b> <a href="fft__1d_8cpp_source.html#l00719">fft_1d.cpp:719</a></div></div>
<div class="ttc" id="namespaceviennacl_1_1linalg_1_1detail_html_a7bfa1c9cb0afb4ca0f975e690f4a8f07"><div class="ttname"><a href="namespaceviennacl_1_1linalg_1_1detail.html#a7bfa1c9cb0afb4ca0f975e690f4a8f07">viennacl::linalg::detail::sign</a></div><div class="ttdeci">SCALARTYPE sign(SCALARTYPE val)</div><div class="ttdef"><b>Definition:</b> <a href="qr-method-common_8hpp_source.html#l00071">qr-method-common.hpp:71</a></div></div>
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