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| <a href="tensor__transform_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 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">#ifndef ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#define ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor">#include "<a class="code" href="arm__compute_2core_2_types_8h.xhtml">arm_compute/core/Types.h</a>"</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> </div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="keyword">namespace </span>helpers</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span> {</div><div class="line"><a name="l00033"></a><span class="lineno"><a class="line" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml"> 33</a></span> <span class="keyword">namespace </span>tensor_transform</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span> {<span class="comment"></span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="comment">/** Computes stride of a given index</span></div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="comment"> *</span></div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="comment"> * @param[in] index Index of tensor to calculate absolute start position</span></div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="comment"> * @param[in] strides Slice strides</span></div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="comment"> *</span></div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="comment"> * @return Stride at a given index</span></div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="comment"> */</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</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="l00043"></a><span class="lineno"> 43</span> <span class="comment"></span></div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="comment">/** Computes absolute start position of a given index for a strided slice operation</span></div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="comment"> *</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="comment"> * @param[in] input_shape Input tensor shape</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="comment"> * @param[in] index Index of tensor to calculate absolute start position</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="comment"> * @param[in] starts Start coordinates</span></div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="comment"> * @param[in] strides Slice strides</span></div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="comment"> * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="comment"> *</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="comment"> * @return Absolute start position of a given index</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="comment"> */</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</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="l00056"></a><span class="lineno"> 56</span> <span class="comment"></span></div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="comment">/** Returns the absolute end position of a given index for a strided slice operation</span></div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="comment"> *</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="comment"> * @param[in] input_shape Input tensor shape</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="comment"> * @param[in] index Index of tensor to calculate absolute start position</span></div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="comment"> * @param[in] start_on_index Absolute start coordinate for given index</span></div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="comment"> * @param[in] ends End coordinates</span></div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="comment"> * @param[in] strides Slice strides</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="comment"> * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="comment"> * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="comment"> * A slice of size 1 starting from starts[i] in the dimension must be preserved.</span></div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="comment"> *</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="comment"> * @return Absolute end position of a given index</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="comment"> */</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</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, <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="l00072"></a><span class="lineno"> 72</span>  int32_t end_mask = 0, int32_t shrink_axis_mask = 0);</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> <span class="comment"></span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span> <span class="comment">/** Calculate start, end and stride coordinates for a strided slice</span></div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> <span class="comment"> *</span></div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> <span class="comment"> * @param[in] input_shape Input tensor shape</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span> <span class="comment"> * @param[in] starts Start coordinates</span></div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span> <span class="comment"> * @param[in] ends End coordinates</span></div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> <span class="comment"> * @param[in] strides Slice strides</span></div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> <span class="comment"> * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and</span></div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> <span class="comment"> * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> <span class="comment"> * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.</span></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="comment"> * A slice of size 1 starting from starts[i] in the dimension must be preserved.</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="comment"> *</span></div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> <span class="comment"> * @return A tuple with <Start,End,Strides></span></div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> <span class="comment"> */</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</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="l00090"></a><span class="lineno"> 90</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="l00091"></a><span class="lineno"> 91</span>  int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> <span class="comment"></span></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> <span class="comment">/** Computes output shape of strided slice</span></div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> <span class="comment"> *</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span> <span class="comment"> * @warning Starts and ends must be non-negative</span></div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> <span class="comment"> * @warning Starts, ends and final strides should have the same dimensions as the input shape</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="comment"> *</span></div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="comment"> * @param[in] input_shape Input tensor shape</span></div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> <span class="comment"> * @param[in] starts Absolute start coordinates</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> <span class="comment"> * @param[in] ends Absolute end coordinates</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> <span class="comment"> * @param[in] strides Slice strides</span></div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> <span class="comment"> * @param[in] begin_mask (Optional) If the ith bit of begin_mask is set, starts[i] is ignored and</span></div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="comment"> * @param[in] end_mask (Optional) If the ith bit of end_mask is set, end[i] is ignored and</span></div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> <span class="comment"> * the fullest possible range in that dimension is used instead.</span></div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> <span class="comment"> * @param[in] shrink_axis_mask (Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1.</span></div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> <span class="comment"> * A slice of size 1 starting from starts[i] in the dimension must be preserved.</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> <span class="comment"> * @param[in] return_unshrinked (Optional) Returns un-shrinked shape</span></div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> <span class="comment"> *</span></div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> <span class="comment"> * @return The output tensor shape</span></div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> <span class="comment"> */</span></div><div class="line"><a name="l00112"></a><span class="lineno"> 112</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="l00113"></a><span class="lineno"> 113</span>  int32_t begin_mask = 0, int32_t end_mask = 0, int32_t shrink_axis_mask = 0,</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordtype">bool</span> return_unshrinked = <span class="keyword">false</span>);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="comment"></span></div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="comment">/** Constructs end mask in case we want to perform a slice operation using the strided slice interface</span></div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> <span class="comment"> *</span></div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> <span class="comment"> * @note Ends are inclusive in slice operations that is why construction an end mask is needed</span></div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span> <span class="comment"> *</span></div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> <span class="comment"> * @param[in] ends End coordinates</span></div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> <span class="comment"> *</span></div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> <span class="comment"> * @return End mask</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> <span class="comment"> */</span></div><div class="line"><a name="l00124"></a><span class="lineno"> 124</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="l00125"></a><span class="lineno"> 125</span> } <span class="comment">// namespace tensor_tranform</span></div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> } <span class="comment">// namespace helpers</span></div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> } <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> <span class="preprocessor">#endif </span><span class="comment">/* ARM_COMPUTE_UTILS_HELPERS_TENSOR_TRANSFORM_H */</span><span class="preprocessor"></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_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2020 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="_c_l_2_convolution_layer_8cpp_source.xhtml#l00182">ConvolutionLayer.cpp:182</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="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="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="arm__compute_2core_2_types_8h_xhtml"><div class="ttname"><a href="arm__compute_2core_2_types_8h.xhtml">Types.h</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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