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| <a href="tensor__transform_8cpp.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) 2018-2019 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">#include "<a class="code" href="tensor__transform_8h.xhtml">arm_compute/core/utils/helpers/tensor_transform.h</a>"</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#include "<a class="code" href="bit__ops_8h.xhtml">arm_compute/core/utils/helpers/bit_ops.h</a>"</span></div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> </div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword">namespace </span>helpers</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="keyword">namespace </span>tensor_transform</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e"> 34</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(<span class="keywordtype">int</span> index, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides)</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> index >= static_cast<int>(strides.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()) ? 1 : strides[index];</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> </div><div class="line"><a name="l00039"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457"> 39</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, <span class="keywordtype">int</span> index, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides, int32_t begin_mask)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// Early exit</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">if</span>(index >= static_cast<int>(starts.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()))</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="keywordflow">return</span> 0;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Get stride</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</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>  <span class="comment">// Calculate start</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">int</span> start = starts[index];</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// Reset in case of begin mask present</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(begin_mask, index))</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>  start = stride > 0 ? <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">std::numeric_limits<int>::lowest</a>() : std::numeric_limits<int>::max();</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> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Account negative start points</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dim_size = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>[index];</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">if</span>(start < 0)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  start += dim_size;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Final clamp</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  start = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(start, 0, dim_size - 1);</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="keywordflow">return</span> start;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span> </div><div class="line"><a name="l00072"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1"> 72</a></span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, <span class="keywordtype">int</span> index, <span class="keywordtype">int</span> start_on_index,</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides,</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  int32_t end_mask, int32_t shrink_axis_mask)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Early exit</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span>(index >= static_cast<int>(ends.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>()))</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>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>[index];</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> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> shrink_axis = <a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(shrink_axis_mask, index);</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>  <span class="comment">// Calculate start</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">int</span> stop = ends[index];</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>  <span class="comment">// Shrink dimension</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span>(shrink_axis)</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>  <span class="keywordflow">if</span>(start_on_index == std::numeric_limits<int>::max())</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>  stop = start_on_index;</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  }</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  stop = start_on_index + 1;</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> </div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Reset in case of begin mask present</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(end_mask, index) && !shrink_axis)</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>  stop = (stride > 0) ? std::numeric_limits<int>::max() : <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">std::numeric_limits<int>::lowest</a>();</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Account negative end points</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dim_size = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>[index];</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">if</span>(stop < 0)</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  {</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  stop += dim_size;</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"> 114</span>  <span class="comment">// Final clamp</span></div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  stop = (stride > 0) ? <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(stop, 0, dim_size) : <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(stop, -1, dim_size - 1);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> stop;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> </div><div class="line"><a name="l00120"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339"> 120</a></span> std::tuple<Coordinates, Coordinates, Coordinates> <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339">calculate_strided_slice_coords</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>,</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides,</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask)</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>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts_abs{};</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends_abs{};</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> final_strides{};</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>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>.num_dimensions(); ++i)</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> start_i = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, i, starts, strides, begin_mask);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  starts_abs.set(i, start_i);</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  ends_abs.set(i, <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, i, start_i, ends, strides, end_mask, shrink_axis_mask));</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  final_strides.set(i, <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(i, strides));</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> </div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">return</span> std::make_tuple(starts_abs, ends_abs, final_strides);</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> </div><div class="line"><a name="l00139"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174"> 139</a></span> <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174">compute_strided_slice_output_shape</a>(<a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  int32_t begin_mask, int32_t end_mask, int32_t shrink_axis_mask, <span class="keywordtype">bool</span> return_unshrinked)</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>;</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>.num_dimensions(); ++i)</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> start = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, i, starts, strides, begin_mask);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> end = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">input_shape</a>, i, start, ends, strides, end_mask, shrink_axis_mask);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> = end - start;</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>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_shrink = <a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(shrink_axis_mask, i);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">if</span>(return_unshrinked || !is_shrink)</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  {</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span>((<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> == 0) || <span class="comment">// Zero range</span></div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  (range < 0 && stride >= 0) || <span class="comment">// Negative range with positive stride</span></div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  (<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> > 0 && stride <= 0)) <span class="comment">// Positive range with negative stride</span></div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  {</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>.set(index, 0);</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>;</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  {</div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordtype">int</span> dim = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> / stride + (<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> % stride != 0 ? 1 : 0);</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>.set(index++, dim);</div><div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  }</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  }</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  }</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">output_shape</a>;</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> </div><div class="line"><a name="l00172"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191"> 172</a></span> int32_t <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191">construct_slice_end_mask</a>(<a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends)</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>  <span class="comment">// Create end mask</span></div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  int32_t end_mask = 0;</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < ends.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">num_dimensions</a>(); ++i)</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  {</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <span class="keywordflow">if</span>(ends[i] < 0)</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  {</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  end_mask |= 1 << i;</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>  }</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span> </div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <span class="keywordflow">return</span> end_mask;</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span> }</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span> } <span class="comment">// namespace tensor_transform</span></div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span> } <span class="comment">// namespace helpers</span></div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_a6a03e096e644bb85ed26acafd1516339"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339">arm_compute::helpers::tensor_transform::calculate_strided_slice_coords</a></div><div class="ttdeci">std::tuple< Coordinates, Coordinates, Coordinates > calculate_strided_slice_coords(TensorShape input_shape, Coordinates starts, Coordinates ends, Coordinates strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0)</div><div class="ttdoc">Calculate start, end and stride coordinates for a strided slice.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00120">tensor_transform.cpp:120</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_a9e3d9626e902ce6f9555d3580e13011e"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">arm_compute::helpers::tensor_transform::calculate_stride_on_index</a></div><div class="ttdeci">int calculate_stride_on_index(int index, Coordinates strides)</div><div class="ttdoc">Computes stride of a given index.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00034">tensor_transform.cpp:34</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#l00039">TensorShape.h:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1bit__ops_xhtml_a54d65336303dbf657a5e954f72b37941"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a></div><div class="ttdeci">bool is_bit_set(T v, unsigned int idx)</div><div class="ttdoc">Checks if the idx-th bit is set in an integral type.</div><div class="ttdef"><b>Definition:</b> <a href="bit__ops_8h_source.xhtml#l00045">bit_ops.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_a73e352c61baaf9c1178da2d30105b04e"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">arm_compute::support::cpp11::lowest</a></div><div class="ttdeci">T lowest()</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00418">ToolchainSupport.h:418</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2019 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ae59e3cf27216b7361c71cbd2830ec4c2"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ae59e3cf27216b7361c71cbd2830ec4c2">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_a396d80389277ad8cd13a5e0567776191"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191">arm_compute::helpers::tensor_transform::construct_slice_end_mask</a></div><div class="ttdeci">int32_t construct_slice_end_mask(Coordinates ends)</div><div class="ttdoc">Constructs end mask in case we want to perform a slice operation using the strided slice interface.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00172">tensor_transform.cpp:172</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a96efecf997f13a914609ddf1eb67f624"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">arm_compute::utility::clamp</a></div><div class="ttdeci">DataType clamp(const DataType &n, const DataType &lower=std::numeric_limits< RangeType >::lowest(), const DataType &upper=std::numeric_limits< RangeType >::max())</div><div class="ttdoc">Performs clamping among a lower and upper value.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00099">Utility.h:99</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a87f09c74765be18a99038478f96daf9b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">arm_compute::test::validation::reference::range</a></div><div class="ttdeci">SimpleTensor< T > range(SimpleTensor< T > &dst, float start, const size_t num_of_elements, float step)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_range_8cpp_source.xhtml#l00050">Range.cpp:50</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="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_aadc7bc8c8e64fd06504c35173c88f7d1"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">arm_compute::helpers::tensor_transform::calculate_end_on_index</a></div><div class="ttdeci">int calculate_end_on_index(TensorShape input_shape, int index, int start_on_index, Coordinates ends, Coordinates strides, int32_t end_mask=0, int32_t shrink_axis_mask=0)</div><div class="ttdoc">Returns the absolute end position of a given index for a strided slice operation.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00072">tensor_transform.cpp:72</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a80a5f2d6e3a697c9aad893a3b4242615"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a80a5f2d6e3a697c9aad893a3b4242615">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const</div><div class="ttdoc">Returns the effective dimensionality of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00122">Dimensions.h:122</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_ab1806bf0c5a41f674fb9d2dc6af644f5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#ab1806bf0c5a41f674fb9d2dc6af644f5">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="bit__ops_8h_xhtml"><div class="ttname"><a href="bit__ops_8h.xhtml">bit_ops.h</a></div></div> |
| <div class="ttc" id="tensor__transform_8h_xhtml"><div class="ttname"><a href="tensor__transform_8h.xhtml">tensor_transform.h</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_a3ff938cc9ead3acbbb2eb10d09d9c457"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">arm_compute::helpers::tensor_transform::calculate_start_on_index</a></div><div class="ttdeci">int calculate_start_on_index(TensorShape input_shape, int index, Coordinates starts, Coordinates strides, int32_t begin_mask)</div><div class="ttdoc">Computes absolute start position of a given index for a strided slice operation.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00039">tensor_transform.cpp:39</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_adb1ed814b11a751017250143fb1a9174"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174">arm_compute::helpers::tensor_transform::compute_strided_slice_output_shape</a></div><div class="ttdeci">TensorShape compute_strided_slice_output_shape(TensorShape input_shape, Coordinates starts, Coordinates ends, Coordinates strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0, bool return_unshrinked=false)</div><div class="ttdoc">Computes output shape of strided slice.</div><div class="ttdef"><b>Definition:</b> <a href="tensor__transform_8cpp_source.xhtml#l00139">tensor_transform.cpp:139</a></div></div> |
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