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| <a href="_c_l_crop_resize_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) 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> </div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include "<a class="code" href="core_2_c_l_2_c_l_helpers_8h.xhtml">arm_compute/core/CL/CLHelpers.h</a>"</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="_c_l_scheduler_8h.xhtml">arm_compute/runtime/CL/CLScheduler.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#include "<a class="code" href="_c_l_crop_resize_8h.xhtml">arm_compute/runtime/CL/functions/CLCropResize.h</a>"</span></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="preprocessor">#include <cstddef></span></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><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="keyword">namespace</span></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="keyword">inline</span> <span class="keywordtype">void</span> configure_crop(<span class="keyword">const</span> ICLTensor *input, ICLTensor *crop_boxes, ICLTensor *box_ind, ICLTensor *output, uint32_t crop_box_ind, Coordinates &start, Coordinates &end, uint32_t &batch_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>  batch_index = *(reinterpret_cast<int32_t *>(box_ind->ptr_to_element(Coordinates(crop_box_ind))));</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="comment">// _crop_box_ind is used to index crop_boxes and retrieve the appropriate crop box.</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// The crop box is specified by normalized coordinates [y0, x0, y1, x1].</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> x0 = *reinterpret_cast<const float *>(crop_boxes->ptr_to_element(Coordinates(1, crop_box_ind)));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> y0 = *reinterpret_cast<const float *>(crop_boxes->ptr_to_element(Coordinates(0, crop_box_ind)));</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> x1 = *reinterpret_cast<const float *>(crop_boxes->ptr_to_element(Coordinates(3, crop_box_ind)));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <span class="keywordtype">float</span> y1 = *reinterpret_cast<const float *>(crop_boxes->ptr_to_element(Coordinates(2, crop_box_ind)));</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="comment">// The normalized coordinates are scaled to retrieve the floating point image coordinates which are rounded to integers.</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  start = Coordinates(std::floor(x0 * (input->info()->tensor_shape()[1] - 1) + 0.5f),</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  std::floor(y0 * (input->info()->tensor_shape()[2] - 1) + 0.5f));</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  end = Coordinates(std::floor(x1 * (input->info()->tensor_shape()[1] - 1) + 0.5f),</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  std::floor(y1 * (input->info()->tensor_shape()[2] - 1) + 0.5f));</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keyword">const</span> TensorShape out_shape(input->info()->tensor_shape()[0], abs(end[0] - start[0]) + 1, abs(end[1] - start[1]) + 1);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  output->info()->set_tensor_shape(out_shape);</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> </div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="keyword">inline</span> <span class="keywordtype">void</span> run_crop(<span class="keyword">const</span> ICLTensor *input, ICLTensor *output, uint32_t batch_index, Coordinates start, Coordinates end, <span class="keywordtype">float</span> extrapolation_value)</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordtype">bool</span> is_width_flipped = end[0] < start[0];</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">bool</span> is_height_flipped = end[1] < start[1];</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  std::array<int32_t, 2> rows_out_of_bounds{ 0 };</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  std::array<int32_t, 2> cols_out_of_bounds{ 0 };</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">if</span>(is_height_flipped)</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>  rows_out_of_bounds[0] = start[1] >= static_cast<int32_t>(input->info()->dimension(2)) ? std::min(start[1] - input->info()->dimension(2) + 1, output->info()->dimension(2)) : 0;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  rows_out_of_bounds[1] = end[1] < 0 ? std::min(-end[1], static_cast<int32_t>(output->info()->dimension(2))) : 0;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  rows_out_of_bounds[0] = start[1] < 0 ? std::min(-start[1], static_cast<int32_t>(output->info()->dimension(2))) : 0;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  rows_out_of_bounds[1] = end[1] >= static_cast<int32_t>(input->info()->dimension(2)) ? std::min(end[1] - input->info()->dimension(2) + 1, output->info()->dimension(2)) : 0;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  }</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span>(is_width_flipped)</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>  cols_out_of_bounds[0] = start[0] >= static_cast<int32_t>(input->info()->dimension(1)) ? std::min(start[0] - input->info()->dimension(1) + 1, output->info()->dimension(1)) : 0;</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  cols_out_of_bounds[1] = end[0] < 0 ? std::min(-end[0], static_cast<int32_t>(output->info()->dimension(1))) : 0;</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>  <span class="keywordflow">else</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  {</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  cols_out_of_bounds[0] = start[0] < 0 ? std::min(-start[0], static_cast<int32_t>(output->info()->dimension(1))) : 0;</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  cols_out_of_bounds[1] = end[0] >= static_cast<int32_t>(input->info()->dimension(1)) ? std::min(end[0] - input->info()->dimension(1) + 1, output->info()->dimension(1)) : 0;</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"> 84</span>  Window full_window = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*output->info());</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">// Full output window:</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="comment">// --------------------------------</span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// | Out of bounds |</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="comment">// | rows before |</span></div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="comment">// |------------------------------|</span></div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="comment">// | Out of | In | Out of |</span></div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="comment">// | bounds | bounds | bounds |</span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="comment">// | cols | elements | cols |</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// | before | copied | after |</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="comment">// | | from input | |</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="comment">// |------------------------------|</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="comment">// | Out of bounds |</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  <span class="comment">// | rows after |</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  <span class="comment">// |------------------------------|</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Use a separate output window for each section of the full output window.</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="comment">// Fill all output rows that have no elements that are within the input bounds</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="comment">// with the extrapolation value using memset.</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="comment">// First for the rows before the in bounds rows.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">if</span>(rows_out_of_bounds[0] > 0)</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>  Window slice_fill_rows_before(full_window);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  slice_fill_rows_before.set(2, Window::Dimension(0, rows_out_of_bounds[0], 1));</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keyword">auto</span> kernel = arm_compute::support::cpp14::make_unique<CLMemsetKernel>();</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  kernel->configure(output, extrapolation_value, &slice_fill_rows_before);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel);</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span> </div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  Window slice_in(full_window);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  slice_in.set(2, Window::Dimension(rows_out_of_bounds[0], output->info()->dimension(2) - rows_out_of_bounds[1], 1));</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  slice_in.set(1, Window::Dimension(cols_out_of_bounds[0], output->info()->dimension(1) - cols_out_of_bounds[1], 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="keywordtype">int</span> rows_in_bounds = static_cast<int32_t>(output->info()->dimension(2)) - rows_out_of_bounds[0] - rows_out_of_bounds[1];</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">if</span>(rows_in_bounds > 0)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="comment">// Fill all elements that share a row with an in bounds element with the extrapolation value.</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">if</span>(cols_out_of_bounds[0] > 0)</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>  Window slice_fill_cols_before(slice_in);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  slice_fill_cols_before.set(1, Window::Dimension(0, cols_out_of_bounds[0], 1));</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keyword">auto</span> kernel = arm_compute::support::cpp14::make_unique<CLMemsetKernel>();</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  kernel->configure(output, extrapolation_value, &slice_fill_cols_before);</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel);</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</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="keywordflow">if</span>(cols_out_of_bounds[1] > 0)</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  Window slice_fill_cols_after(slice_in);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  slice_fill_cols_after.set(1, Window::Dimension(output->info()->dimension(1) - cols_out_of_bounds[1], output->info()->dimension(1), 1));</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">auto</span> kernel = arm_compute::support::cpp14::make_unique<CLMemsetKernel>();</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  kernel->configure(output, extrapolation_value, &slice_fill_cols_after);</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel);</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"> 139</span>  <span class="comment">// Copy all elements within the input bounds from the input tensor.</span></div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordtype">int</span> cols_in_bounds = static_cast<int32_t>(output->info()->dimension(1)) - cols_out_of_bounds[0] - cols_out_of_bounds[1];</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keywordflow">if</span>(cols_in_bounds > 0)</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  {</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="struct_coordinates2_d.xhtml">Coordinates2D</a> start_in{ is_width_flipped ? start[0] - cols_out_of_bounds[0] : start[0] + cols_out_of_bounds[0],</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  is_height_flipped ? start[1] - rows_out_of_bounds[0] : start[1] + rows_out_of_bounds[0] };</div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <a class="code" href="struct_coordinates2_d.xhtml">Coordinates2D</a> end_in{ is_width_flipped ? start_in.<a class="code" href="struct_coordinates2_d.xhtml#a6150e0515f7202e2fb518f7206ed97dc">x</a> - cols_in_bounds + 1 : start_in.x + cols_in_bounds - 1,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  is_height_flipped ? start_in.y - rows_in_bounds + 1 : start_in.y + rows_in_bounds - 1 };</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  <span class="keyword">auto</span> kernel = arm_compute::support::cpp14::make_unique<CLCropKernel>();</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span> </div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  kernel->configure(input, output, start_in, end_in, batch_index, extrapolation_value, &slice_in);</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel);</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="l00153"></a><span class="lineno"> 153</span> </div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="comment">// Fill all rows after the in bounds elements with the extrapolation value.</span></div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">if</span>(rows_out_of_bounds[1] > 0)</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  {</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  Window slice_fill_rows_after(full_window);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  slice_fill_rows_after.set(2, Window::Dimension(output->info()->dimension(2) - rows_out_of_bounds[1], output->info()->dimension(2), 1));</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  <span class="keyword">auto</span> kernel = arm_compute::support::cpp14::make_unique<CLMemsetKernel>();</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  kernel->configure(output, extrapolation_value, &slice_fill_rows_after);</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel);</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</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="comment">// namespace</span></div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> </div><div class="line"><a name="l00166"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ab776ea56c9004a561a4c19f323aa4e9d"> 166</a></span> <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ab776ea56c9004a561a4c19f323aa4e9d">CLCropResize::CLCropResize</a>()</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  : _input(nullptr), _boxes(nullptr), _box_ind(nullptr), _output(nullptr), _num_boxes(0), _method(), _extrapolation_value(0), _scale(), _copy(), _crop_results(), _scaled_results()</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span> {</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span> }</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span> </div><div class="line"><a name="l00171"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a50ea7a28151a85dbbe7483ac032a3886"> 171</a></span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a> <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a50ea7a28151a85dbbe7483ac032a3886">CLCropResize::validate</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *input, <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *boxes, <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *box_ind, <span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> *output,</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml">Coordinates2D</a> crop_size, <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> method, <span class="keywordtype">float</span> extrapolation_value)</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="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af6d3062751bd565decb1a2cd3b63bdb2">x</a> <= 0 || crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af64066d134a77e01b3d6eb8da813627a">y</a> <= 0);</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(method == <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a639aaa22a784d5e5cb03a522267e79c4">InterpolationPolicy::AREA</a>);</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(boxes-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0] != 4);</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <a class="code" href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a>(boxes-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1] != box_ind-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0]);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> temp_info;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <a class="code" href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a>(<a class="code" href="classarm__compute_1_1_c_l_crop_kernel.xhtml#a177d477dede47e247a26df5040e087d6">CLCropKernel::validate</a>(input-><a class="code" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">clone</a>().get(), &temp_info, { 0, 0 }, { 1, 1 }, input-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">dimension</a>(3) - 1, extrapolation_value));</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="keywordflow">if</span>(output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">total_size</a>() > 0)</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="_validate_8h.xhtml#aef783de4ec01874dbec6054a5868aea2">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN</a>(output, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  <a class="code" href="_validate_8h.xhtml#abdb9168800c70e5e2c4c020a3b905738">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT</a>(input, output);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape(input-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0], crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af6d3062751bd565decb1a2cd3b63bdb2">x</a>, crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af64066d134a77e01b3d6eb8da813627a">y</a>, boxes-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1]);</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  <a class="code" href="_validate_8h.xhtml#a1da797d2762c1cdbb73bfc83136c3a38">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS</a>(output-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>(), out_shape);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  }</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keywordflow">return</span> <a class="code" href="classarm__compute_1_1_status.xhtml">Status</a>{};</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> </div><div class="line"><a name="l00190"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a668319020f52120f3269e983cc72d5f3"> 190</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a668319020f52120f3269e983cc72d5f3">CLCropResize::configure</a>(<span class="keyword">const</span> <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *input, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *boxes, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *box_ind, <a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml">ICLTensor</a> *output, <a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml">Coordinates2D</a> crop_size,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  <a class="code" href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">InterpolationPolicy</a> method, <span class="keywordtype">float</span> extrapolation_value)</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>  <a class="code" href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a>(input, output);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a>(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a50ea7a28151a85dbbe7483ac032a3886">CLCropResize::validate</a>(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), box_ind-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), output-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>(), crop_size, method, extrapolation_value));</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> </div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad079478f73a5eac133d029fc1ff10225">_num_boxes</a> = boxes-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[1];</div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  <a class="code" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> out_shape(input-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>()-><a class="code" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">tensor_shape</a>()[0], crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af6d3062751bd565decb1a2cd3b63bdb2">x</a>, crop_size.<a class="code" href="structarm__compute_1_1_coordinates2_d.xhtml#af64066d134a77e01b3d6eb8da813627a">y</a>);</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span> </div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a> = input;</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a72a3dc1eaa8912f18a01ed7a377e31f8">_boxes</a> = boxes;</div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#aafd18b00f7069f03320be223260c945c">_box_ind</a> = box_ind;</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a> = output;</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ac17c6ba3cfe6338930b20d4541ff8b34">_method</a> = method;</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a5e6dad2c0f2799f694d00240cb728859">_extrapolation_value</a> = extrapolation_value;</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="comment">// For each crop box:</span></div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <span class="comment">// - The initial cropped image is produced as specified by boxes[i] from the 3D image input[box_ind[i]].</span></div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="comment">// Possibly using a CLCropKernel and up to four CLMemsetKernels.</span></div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// - A tensor is required to hold this initial cropped image.</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <span class="comment">// - A scale function is used to resize the cropped image to the size specified by crop_size.</span></div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="comment">// - A tensor is required to hold the final scaled image before it is copied into the 4D output</span></div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// that will hold all final cropped and scaled 3D images using CLCopyKernel.</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad079478f73a5eac133d029fc1ff10225">_num_boxes</a>; ++i)</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>  <span class="keyword">auto</span> crop_tensor = support::cpp14::make_unique<CLTensor>();</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> crop_result_info(1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  crop_result_info.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66">set_data_layout</a>(<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  crop_tensor->allocator()->init(crop_result_info);</div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">_crop_results</a>.emplace_back(std::move(crop_tensor));</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>  <span class="keyword">auto</span> scale_tensor = support::cpp14::make_unique<CLTensor>();</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <a class="code" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> scaled_result_info(out_shape, 1, <a class="code" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">DataType::F32</a>);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  scaled_result_info.<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66">set_data_layout</a>(<a class="code" href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">DataLayout::NHWC</a>);</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  scale_tensor->allocator()->init(scaled_result_info);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a6632ee639b1072ab5cc43449df659b2c">_scaled_results</a>.emplace_back(std::move(scale_tensor));</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span> }</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div><div class="line"><a name="l00229"></a><span class="lineno"><a class="line" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad1717410afd0be936c6213a63c8005fb"> 229</a></span> <span class="keywordtype">void</span> <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad1717410afd0be936c6213a63c8005fb">CLCropResize::run</a>()</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span> {</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <a class="code" href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a>(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a> == <span class="keyword">nullptr</span>, <span class="stringliteral">"Unconfigured function"</span>);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="comment">// The contents of _boxes and _box_ind are required to calculate the shape</span></div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// of the initial cropped image and thus are required to configure the</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  <span class="comment">// kernels used for cropping and scaling.</span></div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a72a3dc1eaa8912f18a01ed7a377e31f8">_boxes</a>-><a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0">map</a>(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#aafd18b00f7069f03320be223260c945c">_box_ind</a>-><a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0">map</a>(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad079478f73a5eac133d029fc1ff10225">_num_boxes</a>; ++i)</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="comment">// Size of the crop box in _boxes and thus the shape of _crop_results[i]</span></div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="comment">// may not be known until run-time and so the kernels cannot be configured until then.</span></div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  uint32_t batch_index;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> start{};</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <a class="code" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> end{};</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  configure_crop(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>, <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a72a3dc1eaa8912f18a01ed7a377e31f8">_boxes</a>, <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#aafd18b00f7069f03320be223260c945c">_box_ind</a>, <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">_crop_results</a>[i].get(), i, start, end, batch_index);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keyword">auto</span> scale_kernel = support::cpp14::make_unique<CLScale>();</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  scale_kernel->configure(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">_crop_results</a>[i].get(), <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a6632ee639b1072ab5cc43449df659b2c">_scaled_results</a>[i].get(), <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#ac17c6ba3cfe6338930b20d4541ff8b34">_method</a>, <a class="code" href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">BorderMode::CONSTANT</a>, <a class="code" href="classarm__compute_1_1_pixel_value.xhtml">PixelValue</a>(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a5e6dad2c0f2799f694d00240cb728859">_extrapolation_value</a>), <a class="code" href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1">SamplingPolicy::TOP_LEFT</a>);</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#adb221b9aa2c38a5b7c50cbab3d2db3a0">_scale</a>.emplace_back(std::move(scale_kernel));</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="classarm__compute_1_1_window.xhtml">Window</a> win = <a class="code" href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">calculate_max_window</a>(*<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>-><a class="code" href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">info</a>());</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  win.<a class="code" href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">set</a>(3, <a class="code" href="classarm__compute_1_1_window_1_1_dimension.xhtml">Window::Dimension</a>(i, i + 1, 1));</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span> </div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keyword">auto</span> copy_kernel = support::cpp14::make_unique<CLCopyKernel>();</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  copy_kernel->configure(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a6632ee639b1072ab5cc43449df659b2c">_scaled_results</a>[i].get(), <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a62d192d931002b4866443cd7fc71419b">_output</a>, <a class="code" href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">PaddingList</a>(), &win);</div><div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#abac7525d26d0671b9487440e962f7cc3">_copy</a>.emplace_back(std::move(copy_kernel));</div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span> </div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">_crop_results</a>[i]->allocator()->allocate();</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a6632ee639b1072ab5cc43449df659b2c">_scaled_results</a>[i]->allocator()->allocate();</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span> </div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  run_crop(<a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">_input</a>, <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">_crop_results</a>[i].get(), batch_index, start, end, <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a5e6dad2c0f2799f694d00240cb728859">_extrapolation_value</a>);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  }</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#a72a3dc1eaa8912f18a01ed7a377e31f8">_boxes</a>-><a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#af974a2360069c2ef8df4496d00e4f6cc">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#aafd18b00f7069f03320be223260c945c">_box_ind</a>-><a class="code" href="classarm__compute_1_1_i_c_l_tensor.xhtml#af974a2360069c2ef8df4496d00e4f6cc">unmap</a>(<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().queue());</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</a>();</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> &kernel : <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#adb221b9aa2c38a5b7c50cbab3d2db3a0">_scale</a>)</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  {</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  kernel->run();</div><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  }</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</a>();</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="keywordflow">for</span>(<span class="keyword">auto</span> &kernel : <a class="code" href="classarm__compute_1_1_c_l_crop_resize.xhtml#abac7525d26d0671b9487440e962f7cc3">_copy</a>)</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>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">enqueue</a>(*kernel, <span class="keyword">true</span>);</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  }</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">CLScheduler::get</a>().<a class="code" href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">sync</a>();</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span> }</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span> } <span class="comment">// namespace arm_compute</span></div><div class="ttc" id="classarm__compute_1_1_pixel_value_xhtml"><div class="ttname"><a href="classarm__compute_1_1_pixel_value.xhtml">arm_compute::PixelValue</a></div><div class="ttdoc">Class describing the value of a pixel for any image format.</div><div class="ttdef"><b>Definition:</b> <a href="_pixel_value_8h_source.xhtml#l00034">PixelValue.h:34</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9">arm_compute::InterpolationPolicy</a></div><div class="ttdeci">InterpolationPolicy</div><div class="ttdoc">Interpolation method.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00356">Types.h:356</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a44d7d5b204050ad00d596410b2513f84"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a44d7d5b204050ad00d596410b2513f84">arm_compute::CLCropResize::_crop_results</a></div><div class="ttdeci">std::vector< std::unique_ptr< CLTensor > > _crop_results</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00110">CLCropResize.h:110</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_ab776ea56c9004a561a4c19f323aa4e9d"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#ab776ea56c9004a561a4c19f323aa4e9d">arm_compute::CLCropResize::CLCropResize</a></div><div class="ttdeci">CLCropResize()</div><div class="ttdoc">Default constructor.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8cpp_source.xhtml#l00166">CLCropResize.cpp:166</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml_ac0abc7a5c0d172947f0e6a0c0dde3df0"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml#ac0abc7a5c0d172947f0e6a0c0dde3df0">arm_compute::ICLTensor::map</a></div><div class="ttdeci">void map(cl::CommandQueue &q, bool blocking=true)</div><div class="ttdoc">Enqueue a map operation of the allocated buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8cpp_source.xhtml#l00035">ICLTensor.cpp:35</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="classarm__compute_1_1_c_l_crop_resize_xhtml_ad079478f73a5eac133d029fc1ff10225"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad079478f73a5eac133d029fc1ff10225">arm_compute::CLCropResize::_num_boxes</a></div><div class="ttdeci">size_t _num_boxes</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00104">CLCropResize.h:104</a></div></div> |
| <div class="ttc" id="_c_l_crop_resize_8h_xhtml"><div class="ttname"><a href="_c_l_crop_resize_8h.xhtml">CLCropResize.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a178f0d3d87f959e00a743328d95359d2"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">arm_compute::ITensorInfo::dimension</a></div><div class="ttdeci">virtual size_t dimension(size_t index) const =0</div><div class="ttdoc">Return the size of the requested dimension.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ac1a1b012674e0f1de071a611391828ad"><div class="ttname"><a href="namespacearm__compute.xhtml#ac1a1b012674e0f1de071a611391828ad">arm_compute::PaddingList</a></div><div class="ttdeci">std::vector< PaddingInfo > PaddingList</div><div class="ttdoc">List of padding information.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00445">Types.h:445</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_a9b58d0eb9a2af8e6d7908695e1557d6c"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#a9b58d0eb9a2af8e6d7908695e1557d6c">arm_compute::CLScheduler::get</a></div><div class="ttdeci">static CLScheduler & get()</div><div class="ttdoc">Access the scheduler singleton.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00041">CLScheduler.cpp:41</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_kernel_xhtml_a177d477dede47e247a26df5040e087d6"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_kernel.xhtml#a177d477dede47e247a26df5040e087d6">arm_compute::CLCropKernel::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, const ITensorInfo *output, Coordinates2D start, Coordinates2D end, uint32_t batch_index, float extrapolation_value=0, Window *output_window=nullptr)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of CLStridedSliceKernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_kernel_8cpp_source.xhtml#l00091">CLCropKernel.cpp:91</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_abdb9168800c70e5e2c4c020a3b905738"><div class="ttname"><a href="_validate_8h.xhtml#abdb9168800c70e5e2c4c020a3b905738">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_LAYOUT(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00494">Validate.h:494</a></div></div> |
| <div class="ttc" id="struct_coordinates2_d_xhtml"><div class="ttname"><a href="struct_coordinates2_d.xhtml">Coordinates2D</a></div><div class="ttdoc">2D Coordinates structure</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_types_8h_source.xhtml#l00028">types.h:28</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a8a1e1c105f0bdaf37db408c7cfcb77a4"><div class="ttname"><a href="_error_8h.xhtml#a8a1e1c105f0bdaf37db408c7cfcb77a4">ARM_COMPUTE_RETURN_ON_ERROR</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ON_ERROR(status)</div><div class="ttdoc">Checks if a status contains an error and returns it.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00193">Error.h:193</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda"><div class="ttname"><a href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58a44ad4ef5a76e6aa6fb3e3fa079a54fda">arm_compute::Format::F32</a></div><div class="ttdoc">1 channel, 1 F32 per channel</div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml">arm_compute::ITensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_i_tensor_info_8h_source.xhtml#l00040">ITensorInfo.h:40</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a938dcd406ce611ef5345ad2531cdb948"><div class="ttname"><a href="_error_8h.xhtml#a938dcd406ce611ef5345ad2531cdb948">ARM_COMPUTE_ERROR_THROW_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_THROW_ON(status)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00327">Error.h:327</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_1_1_dimension_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window_1_1_dimension.xhtml">arm_compute::Window::Dimension</a></div><div class="ttdoc">Describe one of the image's dimensions with a start, end and step.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00075">Window.h:75</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_abac7525d26d0671b9487440e962f7cc3"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#abac7525d26d0671b9487440e962f7cc3">arm_compute::CLCropResize::_copy</a></div><div class="ttdeci">std::vector< std::unique_ptr< CLCopyKernel > > _copy</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00109">CLCropResize.h:109</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_status_xhtml"><div class="ttname"><a href="classarm__compute_1_1_status.xhtml">arm_compute::Status</a></div><div class="ttdoc">Status class.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00052">Error.h:52</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_aef783de4ec01874dbec6054a5868aea2"><div class="ttname"><a href="_validate_8h.xhtml#aef783de4ec01874dbec6054a5868aea2">ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_NOT_IN(t,...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00693">Validate.h:693</a></div></div> |
| <div class="ttc" id="core_2_c_l_2_c_l_helpers_8h_xhtml"><div class="ttname"><a href="core_2_c_l_2_c_l_helpers_8h.xhtml">CLHelpers.h</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a206d6e247e0957ac3dee45d27756fc25"><div class="ttname"><a href="_error_8h.xhtml#a206d6e247e0957ac3dee45d27756fc25">ARM_COMPUTE_RETURN_ERROR_ON</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON(cond)</div><div class="ttdoc">If the condition is true, an error is returned.</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00244">Error.h:244</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ab7980fa5ee693e3282a76da047a1c3b5"><div class="ttname"><a href="namespacearm__compute.xhtml#ab7980fa5ee693e3282a76da047a1c3b5">arm_compute::calculate_max_window</a></div><div class="ttdeci">Window calculate_max_window(const ValidRegion &valid_region, const Steps &steps=Steps(), bool skip_border=false, BorderSize border_size=BorderSize())</div><div class="ttdoc">Calculate the maximum window for a given tensor shape and border setting.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_helpers_8cpp_source.xhtml#l00028">Helpers.cpp:28</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) 2017-2018 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="structarm__compute_1_1_coordinates2_d_xhtml_af6d3062751bd565decb1a2cd3b63bdb2"><div class="ttname"><a href="structarm__compute_1_1_coordinates2_d.xhtml#af6d3062751bd565decb1a2cd3b63bdb2">arm_compute::Coordinates2D::x</a></div><div class="ttdeci">int32_t x</div><div class="ttdoc">X coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00429">Types.h:429</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a6632ee639b1072ab5cc43449df659b2c"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a6632ee639b1072ab5cc43449df659b2c">arm_compute::CLCropResize::_scaled_results</a></div><div class="ttdeci">std::vector< std::unique_ptr< CLTensor > > _scaled_results</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00111">CLCropResize.h:111</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_ac17c6ba3cfe6338930b20d4541ff8b34"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#ac17c6ba3cfe6338930b20d4541ff8b34">arm_compute::CLCropResize::_method</a></div><div class="ttdeci">InterpolationPolicy _method</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00105">CLCropResize.h:105</a></div></div> |
| <div class="ttc" id="_c_l_scheduler_8h_xhtml"><div class="ttname"><a href="_c_l_scheduler_8h.xhtml">CLScheduler.h</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a70b6e1495b94818cce4981dbac6bdd66"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a70b6e1495b94818cce4981dbac6bdd66">arm_compute::TensorInfo::set_data_layout</a></div><div class="ttdeci">ITensorInfo & set_data_layout(const DataLayout &data_layout) override</div><div class="ttdoc">Set the data layout of the tensor.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_tensor_info_8cpp_source.xhtml#l00370">TensorInfo.cpp:370</a></div></div> |
| <div class="ttc" id="structarm__compute_1_1_coordinates2_d_xhtml_af64066d134a77e01b3d6eb8da813627a"><div class="ttname"><a href="structarm__compute_1_1_coordinates2_d.xhtml#af64066d134a77e01b3d6eb8da813627a">arm_compute::Coordinates2D::y</a></div><div class="ttdeci">int32_t y</div><div class="ttdoc">Y coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00430">Types.h:430</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a7c66505457d00ece3aa4b34cab80757d"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">arm_compute::ITensorInfo::tensor_shape</a></div><div class="ttdeci">virtual const TensorShape & tensor_shape() const =0</div><div class="ttdoc">Size for each dimension of the tensor.</div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a1da797d2762c1cdbb73bfc83136c3a38"><div class="ttname"><a href="_validate_8h.xhtml#a1da797d2762c1cdbb73bfc83136c3a38">ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS</a></div><div class="ttdeci">#define ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DIMENSIONS(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00288">Validate.h:288</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml_af974a2360069c2ef8df4496d00e4f6cc"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml#af974a2360069c2ef8df4496d00e4f6cc">arm_compute::ICLTensor::unmap</a></div><div class="ttdeci">void unmap(cl::CommandQueue &q)</div><div class="ttdoc">Enqueue an unmap operation of the allocated and mapped buffer on the given queue.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8cpp_source.xhtml#l00040">ICLTensor.cpp:40</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_1_c_l_crop_resize_xhtml_a50ea7a28151a85dbbe7483ac032a3886"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a50ea7a28151a85dbbe7483ac032a3886">arm_compute::CLCropResize::validate</a></div><div class="ttdeci">static Status validate(const ITensorInfo *input, ITensorInfo *boxes, ITensorInfo *box_ind, const ITensorInfo *output, Coordinates2D crop_size, InterpolationPolicy method, float extrapolation_value)</div><div class="ttdoc">Static function to check if given info will lead to a valid configuration of NESlice.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8cpp_source.xhtml#l00171">CLCropResize.cpp:171</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a62d192d931002b4866443cd7fc71419b"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a62d192d931002b4866443cd7fc71419b">arm_compute::CLCropResize::_output</a></div><div class="ttdeci">ICLTensor * _output</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00103">CLCropResize.h:103</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1misc_1_1_i_cloneable_xhtml_a4d10e5012a872e7f78f2b539b673049d"><div class="ttname"><a href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">arm_compute::misc::ICloneable::clone</a></div><div class="ttdeci">virtual std::unique_ptr< T > clone() const =0</div><div class="ttdoc">Provide a clone of the current object of class T.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_ad1717410afd0be936c6213a63c8005fb"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#ad1717410afd0be936c6213a63c8005fb">arm_compute::CLCropResize::run</a></div><div class="ttdeci">void run() override</div><div class="ttdoc">Run the kernels contained in the function.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8cpp_source.xhtml#l00229">CLCropResize.cpp:229</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_xhtml_a0e95dc1e53c361348314873b168ae237"><div class="ttname"><a href="classarm__compute_1_1_i_tensor.xhtml#a0e95dc1e53c361348314873b168ae237">arm_compute::ITensor::info</a></div><div class="ttdeci">virtual ITensorInfo * info() const =0</div><div class="ttdoc">Interface to be implemented by the child class to return the tensor's metadata.</div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1"><div class="ttname"><a href="namespacearm__compute.xhtml#a16a59381d4d74d17d86d69eb4d286d7ba747385047b85ae751f83adb36435a3c1">arm_compute::SamplingPolicy::TOP_LEFT</a></div><div class="ttdoc">Samples are taken at pixel top left corner.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a1acfeaa60695d4df61d8d4b5c905aa53"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a1acfeaa60695d4df61d8d4b5c905aa53">arm_compute::CLCropResize::_input</a></div><div class="ttdeci">const ICLTensor * _input</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00100">CLCropResize.h:100</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml_acd3d2bba51cb84d34dd7656ad2375a6e"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml#acd3d2bba51cb84d34dd7656ad2375a6e">arm_compute::Window::set</a></div><div class="ttdeci">void set(size_t dimension, const Dimension &dim)</div><div class="ttdoc">Set the values of a given dimension.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8inl_source.xhtml#l00048">Window.inl:48</a></div></div> |
| <div class="ttc" id="struct_coordinates2_d_xhtml_a6150e0515f7202e2fb518f7206ed97dc"><div class="ttname"><a href="struct_coordinates2_d.xhtml#a6150e0515f7202e2fb518f7206ed97dc">Coordinates2D::x</a></div><div class="ttdeci">int x</div><div class="ttdoc">The x coordinate.</div><div class="ttdef"><b>Definition:</b> <a href="src_2core_2_c_l_2cl__kernels_2_types_8h_source.xhtml#l00030">types.h:30</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a966a9c417ce5e94dca08d9b5e745c0c9a639aaa22a784d5e5cb03a522267e79c4"><div class="ttname"><a href="namespacearm__compute.xhtml#a966a9c417ce5e94dca08d9b5e745c0c9a639aaa22a784d5e5cb03a522267e79c4">arm_compute::InterpolationPolicy::AREA</a></div><div class="ttdoc">Output values are determined by averaging the source pixels whose areas fall under the area of the de...</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ae1a643e517f50bf0392fb6516dd7cf67"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ae1a643e517f50bf0392fb6516dd7cf67">arm_compute::CLScheduler::enqueue</a></div><div class="ttdeci">void enqueue(ICLKernel &kernel, bool flush=true)</div><div class="ttdoc">Schedule the execution of the passed kernel if possible.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8cpp_source.xhtml#l00095">CLScheduler.cpp:95</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_scheduler_xhtml_ad55f80ed3cd8b6c4f247763b747016af"><div class="ttname"><a href="classarm__compute_1_1_c_l_scheduler.xhtml#ad55f80ed3cd8b6c4f247763b747016af">arm_compute::CLScheduler::sync</a></div><div class="ttdeci">void sync()</div><div class="ttdoc">Blocks until all commands in the associated command queue have finished.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_scheduler_8h_source.xhtml#l00151">CLScheduler.h:151</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a5e6dad2c0f2799f694d00240cb728859"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a5e6dad2c0f2799f694d00240cb728859">arm_compute::CLCropResize::_extrapolation_value</a></div><div class="ttdeci">float _extrapolation_value</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00106">CLCropResize.h:106</a></div></div> |
| <div class="ttc" id="_validate_8h_xhtml_a921b705e9e3e0fe928928447869e62a5"><div class="ttname"><a href="_validate_8h.xhtml#a921b705e9e3e0fe928928447869e62a5">ARM_COMPUTE_ERROR_ON_NULLPTR</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_NULLPTR(...)</div><div class="ttdef"><b>Definition:</b> <a href="_validate_8h_source.xhtml#l00161">Validate.h:161</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_c_l_tensor_xhtml"><div class="ttname"><a href="classarm__compute_1_1_i_c_l_tensor.xhtml">arm_compute::ICLTensor</a></div><div class="ttdoc">Interface for OpenCL tensor.</div><div class="ttdef"><b>Definition:</b> <a href="_i_c_l_tensor_8h_source.xhtml#l00042">ICLTensor.h:42</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_i_tensor_info_xhtml_a18064e0011c3869d884653e9e7c47b66"><div class="ttname"><a href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">arm_compute::ITensorInfo::total_size</a></div><div class="ttdeci">virtual size_t total_size() const =0</div><div class="ttdoc">Returns the total size of the tensor in bytes.</div></div> |
| <div class="ttc" id="structarm__compute_1_1_coordinates2_d_xhtml"><div class="ttname"><a href="structarm__compute_1_1_coordinates2_d.xhtml">arm_compute::Coordinates2D</a></div><div class="ttdoc">Coordinate type.</div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_types_8h_source.xhtml#l00427">Types.h:427</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92"><div class="ttname"><a href="namespacearm__compute.xhtml#a14d24d90ab4ba2956e92e27890ba4c91a8d6b5cada83510220f59e00ce86d4d92">arm_compute::PaddingMode::CONSTANT</a></div></div> |
| <div class="ttc" id="namespacearm__compute_xhtml_ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51"><div class="ttname"><a href="namespacearm__compute.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">arm_compute::DataLayout::NHWC</a></div><div class="ttdoc">Num samples, height, width, channels.</div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a668319020f52120f3269e983cc72d5f3"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a668319020f52120f3269e983cc72d5f3">arm_compute::CLCropResize::configure</a></div><div class="ttdeci">void configure(const ICLTensor *input, ICLTensor *boxes, ICLTensor *box_ind, ICLTensor *output, Coordinates2D crop_size, InterpolationPolicy method=InterpolationPolicy::BILINEAR, float extrapolation_value=0)</div><div class="ttdoc">Configure kernel.</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8cpp_source.xhtml#l00190">CLCropResize.cpp:190</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_adb221b9aa2c38a5b7c50cbab3d2db3a0"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#adb221b9aa2c38a5b7c50cbab3d2db3a0">arm_compute::CLCropResize::_scale</a></div><div class="ttdeci">std::vector< std::unique_ptr< CLScale > > _scale</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00108">CLCropResize.h:108</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml">arm_compute::TensorInfo</a></div><div class="ttdoc">Store the tensor's metadata.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00045">TensorInfo.h:45</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_a72a3dc1eaa8912f18a01ed7a377e31f8"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#a72a3dc1eaa8912f18a01ed7a377e31f8">arm_compute::CLCropResize::_boxes</a></div><div class="ttdeci">ICLTensor * _boxes</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00101">CLCropResize.h:101</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_window_xhtml"><div class="ttname"><a href="classarm__compute_1_1_window.xhtml">arm_compute::Window</a></div><div class="ttdoc">Describe a multidimensional execution window.</div><div class="ttdef"><b>Definition:</b> <a href="_window_8h_source.xhtml#l00039">Window.h:39</a></div></div> |
| <div class="ttc" id="classarm__compute_1_1_c_l_crop_resize_xhtml_aafd18b00f7069f03320be223260c945c"><div class="ttname"><a href="classarm__compute_1_1_c_l_crop_resize.xhtml#aafd18b00f7069f03320be223260c945c">arm_compute::CLCropResize::_box_ind</a></div><div class="ttdeci">ICLTensor * _box_ind</div><div class="ttdef"><b>Definition:</b> <a href="_c_l_crop_resize_8h_source.xhtml#l00102">CLCropResize.h:102</a></div></div> |
| <div class="ttc" id="_error_8h_xhtml_a5bbdcf574d3f5e412fa6a1117911e67b"><div class="ttname"><a href="_error_8h.xhtml#a5bbdcf574d3f5e412fa6a1117911e67b">ARM_COMPUTE_ERROR_ON_MSG</a></div><div class="ttdeci">#define ARM_COMPUTE_ERROR_ON_MSG(cond,...)</div><div class="ttdef"><b>Definition:</b> <a href="_error_8h_source.xhtml#l00328">Error.h:328</a></div></div> |
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