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| <a href="_c_l_accessor_8h.xhtml">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="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2017 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</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"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</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"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_CL_CLACCESSOR_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define __ARM_COMPUTE_TEST_CL_CLACCESSOR_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="_i_accessor_8h.xhtml">IAccessor.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor">#include "<a class="code" href="_c_l_tensor_8h.xhtml">arm_compute/runtime/CL/CLTensor.h</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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></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> <span class="keyword">namespace </span>test</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {</div><div class="line"><a name="l00035"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1test_1_1cl.xhtml"> 35</a></span> <span class="keyword">namespace </span><a class="code" href="namespacecl.xhtml">cl</a></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> {</div><div class="line"><a name="l00038"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml"> 38</a></span> <span class="keyword">class </span><a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> : <span class="keyword">public</span> <a class="code" href="classarm__compute_1_1test_1_1_i_accessor.xhtml">IAccessor</a></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">public</span>:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &tensor);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">operator=</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &) = <span class="keyword">delete</span>;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor</a>(<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">operator=</a>(<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">CLAccessor</a> &&) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">~CLAccessor</a>();</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>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">shape</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">size</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">num_channels</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">num_elements</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>() <span class="keyword">const override</span>;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord) <span class="keyword">const override</span>;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord) <span class="keyword">override</span>;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="keyword">private</span>:</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &_tensor;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> };</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2"> 73</a></span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">CLAccessor::CLAccessor</a>(<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml">CLTensor</a> &tensor)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  : _tensor{ tensor }</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>  _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">map</a>();</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> </div><div class="line"><a name="l00079"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558"> 79</a></span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">CLAccessor::~CLAccessor</a>()</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> {</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">unmap</a>();</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> </div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba"> 84</a></span> <span class="keyword">inline</span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">CLAccessor::shape</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword"></span>{</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>();</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</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"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23"> 89</a></span> <span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">CLAccessor::element_size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> <span class="keyword"></span>{</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</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"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16"> 94</a></span> <span class="keyword">inline</span> <span class="keywordtype">size_t</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">CLAccessor::size</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="keyword"></span>{</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a>();</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00099"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db"> 99</a></span> <span class="keyword">inline</span> <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">CLAccessor::format</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="keyword"></span>{</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>();</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> }</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> </div><div class="line"><a name="l00104"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881"> 104</a></span> <span class="keyword">inline</span> <a class="code" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">CLAccessor::data_type</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="keyword"></span>{</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>();</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> </div><div class="line"><a name="l00109"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb"> 109</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">CLAccessor::num_channels</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="keyword"></span>{</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>();</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> }</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> </div><div class="line"><a name="l00114"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e"> 114</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">CLAccessor::num_elements</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword"></span>{</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>().<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a>();</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"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b"> 119</a></span> <span class="keyword">inline</span> <span class="keywordtype">int</span> <a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">CLAccessor::fixed_point_position</a>()<span class="keyword"> const</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="keyword"></span>{</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">info</a>()-><a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</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"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f"> 124</a></span> <span class="keyword">inline</span> <span class="keyword">const</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">CLAccessor::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)<span class="keyword"> const</span></div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> <span class="keyword"></span>{</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a48c7a05cc63f541d732250e39339cee2">ptr_to_element</a>(coord);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"><a class="line" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a2df95f7046b81e69a1265a42202ea068"> 129</a></span> <span class="keyword">inline</span> <span class="keywordtype">void</span> *<a class="code" href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">CLAccessor::operator()</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &coord)</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> {</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> _tensor.<a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a48c7a05cc63f541d732250e39339cee2">ptr_to_element</a>(coord);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> } <span class="comment">// cl</span></div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> } <span class="comment">// namespace test</span></div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> <span class="preprocessor">#endif</span></div><div class="ttc" id="_i_accessor_8h_xhtml"><div class="ttname"><a href="_i_accessor_8h.xhtml">IAccessor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_aedcfdd4c3b92fe0d63b5463c7ad1d21e"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aedcfdd4c3b92fe0d63b5463c7ad1d21e">arm_compute::test::cl::CLAccessor::num_elements</a></div><div class="ttdeci">int num_elements() const override</div><div class="ttdoc">Number of elements of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00114">CLAccessor.h:114</a></div></div> |
| <div class="ttc" id="namespacecl_xhtml"><div class="ttname"><a href="namespacecl.xhtml">cl</a></div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_distribution1_d_8h_source.xhtml#l00032">ICLDistribution1D.h:32</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml">arm_compute::TensorShape</a></div><div class="ttdoc">Shape of a tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00038">TensorShape.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::TensorInfo::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Fixed point position used when the tensor data type is QS8 or QS16. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00223">TensorInfo.h:223</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a6f13b974eeb528acde66de8d9b3fd95c"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">arm_compute::TensorInfo::num_channels</a></div><div class="ttdeci">size_t num_channels() const override</div><div class="ttdoc">The number of channels for each tensor element. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00235">TensorInfo.h:235</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a527695a3d56533619c6cd0761ea06f61"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a527695a3d56533619c6cd0761ea06f61">arm_compute::test::cl::CLAccessor::operator=</a></div><div class="ttdeci">CLAccessor & operator=(const CLAccessor &)=delete</div></div> |
| <div class="ttc" id="_c_l_tensor_8h_xhtml"><div class="ttname"><a href="_c_l_tensor_8h.xhtml">CLTensor.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::test::cl::CLAccessor::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Size of each element in the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00089">CLAccessor.h:89</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_abdd3637f2bbde9d7d0cc0b7bbd8400bb"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#abdd3637f2bbde9d7d0cc0b7bbd8400bb">arm_compute::test::cl::CLAccessor::num_channels</a></div><div class="ttdeci">int num_channels() const override</div><div class="ttdoc">Number of channels of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00109">CLAccessor.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a97de03c31e0ca04be6960e2e3ffdca95"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a97de03c31e0ca04be6960e2e3ffdca95">arm_compute::CLTensor::info</a></div><div class="ttdeci">TensorInfo * info() const override</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor&#39;s metadata. </div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdef"><b>Definition:</b> <a href="01__library_8dox_source.xhtml#l00001">01_library.dox:1</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::TensorInfo::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Colour format of the image. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00247">TensorInfo.h:247</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a14c53d2d17be6fa8a2c9861527c7b002"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a14c53d2d17be6fa8a2c9861527c7b002">arm_compute::CLTensor::map</a></div><div class="ttdeci">void map(bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer. </div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::TensorInfo::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type used for each element of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00243">TensorInfo.h:243</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_aba5871b3e4a65d057ec1c28fce8b00ba"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#aba5871b3e4a65d057ec1c28fce8b00ba">arm_compute::test::cl::CLAccessor::shape</a></div><div class="ttdeci">TensorShape shape() const override</div><div class="ttdoc">Shape of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00084">CLAccessor.h:84</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml">arm_compute::test::cl::CLAccessor</a></div><div class="ttdoc">Accessor implementation for CLTensor objects. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00038">CLAccessor.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a48c7a05cc63f541d732250e39339cee2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a48c7a05cc63f541d732250e39339cee2">arm_compute::ITensor::ptr_to_element</a></div><div class="ttdeci">uint8_t * ptr_to_element(const Coordinates &id) const </div><div class="ttdoc">Return a pointer to the element at the passed coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_8h_source.xhtml#l00063">ITensor.h:63</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">arm_compute::Format</a></div><div class="ttdeci">Format</div><div class="ttdoc">Image colour formats. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00038">Types.h:38</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_ad7701a09a964eab360a8e51fa7ad2c16"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ad7701a09a964eab360a8e51fa7ad2c16">arm_compute::test::cl::CLAccessor::size</a></div><div class="ttdeci">size_t size() const override</div><div class="ttdoc">Total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00094">CLAccessor.h:94</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_af398466b602a02b42d8df19fb66a6c60"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">arm_compute::TensorInfo::total_size</a></div><div class="ttdeci">size_t total_size() const override</div><div class="ttdoc">Returns the total size of the tensor in bytes. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00251">TensorInfo.h:251</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_coordinates_xhtml"><div class="ttname"><a href="classarm__compute_1_1_coordinates.xhtml">arm_compute::Coordinates</a></div><div class="ttdoc">Coordinates of an item. </div><div class="ttdef"><b>Definition:</b> <a href="_coordinates_8h_source.xhtml#l00037">Coordinates.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a5041d7243d610e3d7b0d9a1414497558"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a5041d7243d610e3d7b0d9a1414497558">arm_compute::test::cl::CLAccessor::~CLAccessor</a></div><div class="ttdeci">~CLAccessor()</div><div class="ttdoc">Destructor that unmaps the CL memory. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00079">CLAccessor.h:79</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a9a3e72153aeb3ed212e9c3698774e881"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a9a3e72153aeb3ed212e9c3698774e881">arm_compute::test::cl::CLAccessor::data_type</a></div><div class="ttdeci">DataType data_type() const override</div><div class="ttdoc">Data type of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00104">CLAccessor.h:104</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a39537b09ccc3ce3d17922f4ef49a123f"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a39537b09ccc3ce3d17922f4ef49a123f">arm_compute::test::cl::CLAccessor::operator()</a></div><div class="ttdeci">const void * operator()(const Coordinates &coord) const override</div><div class="ttdoc">Read only access to the specified element. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00124">CLAccessor.h:124</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1_i_accessor_xhtml"><div class="ttname"><a href="classarm__compute_1_1test_1_1_i_accessor.xhtml">arm_compute::test::IAccessor</a></div><div class="ttdoc">Common interface to provide information and access to tensor like structures. </div><div class="ttdef"><b>Definition:</b> <a href="_i_accessor_8h_source.xhtml#l00037">IAccessor.h:37</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_ac4b36cc1e56b0b7e579bb4b7196490db"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">arm_compute::test::cl::CLAccessor::format</a></div><div class="ttdeci">Format format() const override</div><div class="ttdoc">Image format of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00099">CLAccessor.h:99</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a99c3ff4aa653567f4b5ee28007f79dc2"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a99c3ff4aa653567f4b5ee28007f79dc2">arm_compute::test::cl::CLAccessor::CLAccessor</a></div><div class="ttdeci">CLAccessor(CLTensor &tensor)</div><div class="ttdoc">Create an accessor for the given tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00073">CLAccessor.h:73</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_shape_xhtml_a4eaec01ba2c12093db609d1034ad0bc1"><div class="ttname"><a href="classarm__compute_1_1_tensor_shape.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">arm_compute::TensorShape::total_size</a></div><div class="ttdeci">size_t total_size() const </div><div class="ttdoc">Collapses all dimensions to a single linear total size. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_shape_8h_source.xhtml#l00106">TensorShape.h:106</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a269b19ce3f357ac65f41f9951906e38e"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">arm_compute::TensorInfo::tensor_shape</a></div><div class="ttdeci">const TensorShape & tensor_shape() const override</div><div class="ttdoc">Size for each dimension of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00239">TensorInfo.h:239</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad8ed01ff3ff33333d8e19db4d2818bb6"><div class="ttname"><a href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">arm_compute::DataType</a></div><div class="ttdeci">DataType</div><div class="ttdoc">Available data types. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00060">Types.h:60</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml_a1ffeb3b5abb3d61f62b58a391816201c"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml#a1ffeb3b5abb3d61f62b58a391816201c">arm_compute::CLTensor::unmap</a></div><div class="ttdeci">void unmap()</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer. </div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a62b67b578f684c4d516843c9dea86a23"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">arm_compute::TensorInfo::element_size</a></div><div class="ttdeci">size_t element_size() const override</div><div class="ttdoc">Element size in bytes calculated as data_size() * num_channels() </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00227">TensorInfo.h:227</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor_xhtml_a35ccf2eb0c18a15feab2db98b307b78b"><div class="ttname"><a href="classarm__compute_1_1test_1_1cl_1_1_c_l_accessor.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">arm_compute::test::cl::CLAccessor::fixed_point_position</a></div><div class="ttdeci">int fixed_point_position() const override</div><div class="ttdoc">Number of bits for the fractional part. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_accessor_8h_source.xhtml#l00119">CLAccessor.h:119</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_c_l_tensor.xhtml">arm_compute::CLTensor</a></div><div class="ttdoc">Basic implementation of the OpenCL tensor interface. </div><div class="ttdef"><b>Definition:</b> <a href="_c_l_tensor_8h_source.xhtml#l00039">CLTensor.h:39</a></div></div> |
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