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| <div class="title">arm_compute::helpers::tensor_transform Namespace Reference</div> </div> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a9e3d9626e902ce6f9555d3580e13011e"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a> (int index, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides)</td></tr> |
| <tr class="memdesc:a9e3d9626e902ce6f9555d3580e13011e"><td class="mdescLeft"> </td><td class="mdescRight">Computes stride of a given index. <a href="#a9e3d9626e902ce6f9555d3580e13011e">More...</a><br /></td></tr> |
| <tr class="separator:a9e3d9626e902ce6f9555d3580e13011e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a3ff938cc9ead3acbbb2eb10d09d9c457"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, int index, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides, int32_t begin_mask)</td></tr> |
| <tr class="memdesc:a3ff938cc9ead3acbbb2eb10d09d9c457"><td class="mdescLeft"> </td><td class="mdescRight">Computes absolute start position of a given index for a strided slice operation. <a href="#a3ff938cc9ead3acbbb2eb10d09d9c457">More...</a><br /></td></tr> |
| <tr class="separator:a3ff938cc9ead3acbbb2eb10d09d9c457"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aadc7bc8c8e64fd06504c35173c88f7d1"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, int index, int start_on_index, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides, int32_t end_mask=0, int32_t shrink_axis_mask=0)</td></tr> |
| <tr class="memdesc:aadc7bc8c8e64fd06504c35173c88f7d1"><td class="mdescLeft"> </td><td class="mdescRight">Returns the absolute end position of a given index for a strided slice operation. <a href="#aadc7bc8c8e64fd06504c35173c88f7d1">More...</a><br /></td></tr> |
| <tr class="separator:aadc7bc8c8e64fd06504c35173c88f7d1"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6a03e096e644bb85ed26acafd1516339"><td class="memItemLeft" align="right" valign="top">std::tuple< <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a6a03e096e644bb85ed26acafd1516339">calculate_strided_slice_coords</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0)</td></tr> |
| <tr class="memdesc:a6a03e096e644bb85ed26acafd1516339"><td class="mdescLeft"> </td><td class="mdescRight">Calculate start, end and stride coordinates for a strided slice. <a href="#a6a03e096e644bb85ed26acafd1516339">More...</a><br /></td></tr> |
| <tr class="separator:a6a03e096e644bb85ed26acafd1516339"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:adb1ed814b11a751017250143fb1a9174"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#adb1ed814b11a751017250143fb1a9174">compute_strided_slice_output_shape</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> input_shape, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> starts, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> strides, int32_t begin_mask=0, int32_t end_mask=0, int32_t shrink_axis_mask=0, bool return_unshrinked=false)</td></tr> |
| <tr class="memdesc:adb1ed814b11a751017250143fb1a9174"><td class="mdescLeft"> </td><td class="mdescRight">Computes output shape of strided slice. <a href="#adb1ed814b11a751017250143fb1a9174">More...</a><br /></td></tr> |
| <tr class="separator:adb1ed814b11a751017250143fb1a9174"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a396d80389277ad8cd13a5e0567776191"><td class="memItemLeft" align="right" valign="top">int32_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a396d80389277ad8cd13a5e0567776191">construct_slice_end_mask</a> (<a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> ends)</td></tr> |
| <tr class="memdesc:a396d80389277ad8cd13a5e0567776191"><td class="mdescLeft"> </td><td class="mdescRight">Constructs end mask in case we want to perform a slice operation using the strided slice interface. <a href="#a396d80389277ad8cd13a5e0567776191">More...</a><br /></td></tr> |
| <tr class="separator:a396d80389277ad8cd13a5e0567776191"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="aadc7bc8c8e64fd06504c35173c88f7d1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aadc7bc8c8e64fd06504c35173c88f7d1">◆ </a></span>calculate_end_on_index()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int calculate_end_on_index </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>input_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>index</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>start_on_index</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>ends</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>strides</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>end_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>shrink_axis_mask</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Returns the absolute end position of a given index for a strided slice operation. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>Input tensor shape </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of tensor to calculate absolute start position </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">start_on_index</td><td>Absolute start coordinate for given index </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ends</td><td>End coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>Slice strides </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">end_mask</td><td>(Optional) If the ith bit of end_mask is set, end[i] is ignored and the fullest possible range in that dimension is used instead. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shrink_axis_mask</td><td>(Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. A slice of size 1 starting from starts[i] in the dimension must be preserved.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Absolute end position of a given index </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00072">72</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="comment">// Early exit</span></div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span>(index >= static_cast<int>(ends.num_dimensions()))</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>[index];</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> shrink_axis = <a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(shrink_axis_mask, index);</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span> </div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  <span class="comment">// Calculate start</span></div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordtype">int</span> stop = ends[index];</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span> </div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="comment">// Shrink dimension</span></div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span>(shrink_axis)</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  stop = start_on_index + 1;</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span> </div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="comment">// Reset in case of begin mask present</span></div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(end_mask, index) && !shrink_axis)</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  {</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  stop = (stride > 0) ? std::numeric_limits<int>::max() : <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">std::numeric_limits<int>::lowest</a>();</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> </div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="comment">// Account negative end points</span></div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dim_size = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>[index];</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">if</span>(stop < 0)</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  stop += dim_size;</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> </div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="comment">// Final clamp</span></div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  stop = (stride > 0) ? <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(stop, 0, dim_size) : <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(stop, -1, dim_size - 1);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> stop;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</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="namespacearm__compute_1_1helpers_1_1bit__ops_xhtml_a54d65336303dbf657a5e954f72b37941"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a></div><div class="ttdeci">bool is_bit_set(T v, unsigned int idx)</div><div class="ttdoc">Checks if the idx-th bit is set in an integral type.</div><div class="ttdef"><b>Definition:</b> <a href="bit__ops_8h_source.xhtml#l00045">bit_ops.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a865514e30baa11b11c8fa65f944532fb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_a73e352c61baaf9c1178da2d30105b04e"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">arm_compute::support::cpp11::lowest</a></div><div class="ttdeci">T lowest()</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00384">ToolchainSupport.h:384</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a96efecf997f13a914609ddf1eb67f624"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">arm_compute::utility::clamp</a></div><div class="ttdeci">DataType clamp(const DataType &n, const DataType &lower=std::numeric_limits< RangeType >::lowest(), const DataType &upper=std::numeric_limits< RangeType >::max())</div><div class="ttdoc">Performs clamping among a lower and upper value.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00084">Utility.h:84</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="tensor__transform_8cpp_source.xhtml#l00034">calculate_stride_on_index()</a>, <a class="el" href="_utility_8h_source.xhtml#l00084">arm_compute::utility::clamp()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::input_shape</a>, <a class="el" href="bit__ops_8h_source.xhtml#l00045">arm_compute::helpers::bit_ops::is_bit_set()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00384">arm_compute::support::cpp11::lowest()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="tensor__transform_8cpp_source.xhtml#l00113">calculate_strided_slice_coords()</a>, and <a class="el" href="tensor__transform_8cpp_source.xhtml#l00132">compute_strided_slice_output_shape()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a3ff938cc9ead3acbbb2eb10d09d9c457"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a3ff938cc9ead3acbbb2eb10d09d9c457">◆ </a></span>calculate_start_on_index()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int calculate_start_on_index </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>input_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>index</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>starts</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>strides</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>begin_mask</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Computes absolute start position of a given index for a strided slice operation. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>Input tensor shape </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of tensor to calculate absolute start position </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">starts</td><td>Start coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>Slice strides </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">begin_mask</td><td>(Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Absolute start position of a given index </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="comment">// Early exit</span></div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">if</span>(index >= static_cast<int>(starts.num_dimensions()))</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  {</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span> </div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Get stride</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span> </div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="comment">// Calculate start</span></div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordtype">int</span> start = starts[index];</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="comment">// Reset in case of begin mask present</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">if</span>(<a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(begin_mask, index))</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  start = stride > 0 ? <a class="code" href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">std::numeric_limits<int>::lowest</a>() : std::numeric_limits<int>::max();</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  }</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> </div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="comment">// Account negative start points</span></div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> dim_size = <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>[index];</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">if</span>(start < 0)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  start += dim_size;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  }</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> </div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="comment">// Final clamp</span></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  start = <a class="code" href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">utility::clamp</a>(start, 0, dim_size - 1);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">return</span> start;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span> }</div><div class="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="namespacearm__compute_1_1helpers_1_1bit__ops_xhtml_a54d65336303dbf657a5e954f72b37941"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a></div><div class="ttdeci">bool is_bit_set(T v, unsigned int idx)</div><div class="ttdoc">Checks if the idx-th bit is set in an integral type.</div><div class="ttdef"><b>Definition:</b> <a href="bit__ops_8h_source.xhtml#l00045">bit_ops.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a865514e30baa11b11c8fa65f944532fb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1support_1_1cpp11_xhtml_a73e352c61baaf9c1178da2d30105b04e"><div class="ttname"><a href="namespacearm__compute_1_1support_1_1cpp11.xhtml#a73e352c61baaf9c1178da2d30105b04e">arm_compute::support::cpp11::lowest</a></div><div class="ttdeci">T lowest()</div><div class="ttdef"><b>Definition:</b> <a href="_toolchain_support_8h_source.xhtml#l00384">ToolchainSupport.h:384</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1utility_xhtml_a96efecf997f13a914609ddf1eb67f624"><div class="ttname"><a href="namespacearm__compute_1_1utility.xhtml#a96efecf997f13a914609ddf1eb67f624">arm_compute::utility::clamp</a></div><div class="ttdeci">DataType clamp(const DataType &n, const DataType &lower=std::numeric_limits< RangeType >::lowest(), const DataType &upper=std::numeric_limits< RangeType >::max())</div><div class="ttdoc">Performs clamping among a lower and upper value.</div><div class="ttdef"><b>Definition:</b> <a href="_utility_8h_source.xhtml#l00084">Utility.h:84</a></div></div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="tensor__transform_8cpp_source.xhtml#l00034">calculate_stride_on_index()</a>, <a class="el" href="_utility_8h_source.xhtml#l00084">arm_compute::utility::clamp()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::input_shape</a>, <a class="el" href="bit__ops_8h_source.xhtml#l00045">arm_compute::helpers::bit_ops::is_bit_set()</a>, <a class="el" href="_toolchain_support_8h_source.xhtml#l00384">arm_compute::support::cpp11::lowest()</a>, and <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="tensor__transform_8cpp_source.xhtml#l00113">calculate_strided_slice_coords()</a>, and <a class="el" href="tensor__transform_8cpp_source.xhtml#l00132">compute_strided_slice_output_shape()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a9e3d9626e902ce6f9555d3580e13011e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9e3d9626e902ce6f9555d3580e13011e">◆ </a></span>calculate_stride_on_index()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int calculate_stride_on_index </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>index</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>strides</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Computes stride of a given index. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of tensor to calculate absolute start position </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>Slice strides</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Stride at a given index </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> index >= static_cast<int>(strides.num_dimensions()) ? 1 : strides[index];</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div></div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="tensor__transform_8cpp_source.xhtml#l00072">calculate_end_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00039">calculate_start_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00113">calculate_strided_slice_coords()</a>, and <a class="el" href="tensor__transform_8cpp_source.xhtml#l00132">compute_strided_slice_output_shape()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a6a03e096e644bb85ed26acafd1516339"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6a03e096e644bb85ed26acafd1516339">◆ </a></span>calculate_strided_slice_coords()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::tuple< <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a>, <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> > calculate_strided_slice_coords </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>input_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>starts</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>ends</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>strides</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>begin_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>end_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>shrink_axis_mask</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Calculate start, end and stride coordinates for a strided slice. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>Input tensor shape </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">starts</td><td>Start coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ends</td><td>End coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>Slice strides </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">begin_mask</td><td>(Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">end_mask</td><td>(Optional) If the ith bit of end_mask is set, end[i] is ignored and the fullest possible range in that dimension is used instead. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shrink_axis_mask</td><td>(Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. A slice of size 1 starting from starts[i] in the dimension must be preserved.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>A tuple with <Start,End,<a class="el" href="classarm__compute_1_1_strides.xhtml" title="Strides of an item in bytes.">Strides</a>> </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00113">113</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><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>  Coordinates starts_abs{};</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  Coordinates ends_abs{};</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  Coordinates final_strides{};</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>.num_dimensions(); ++i)</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>  <span class="keyword">const</span> <span class="keywordtype">int</span> start_i = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>, i, starts, strides, begin_mask);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  starts_abs.set(i, start_i);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  ends_abs.set(i, <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>, i, start_i, ends, strides, end_mask, shrink_axis_mask));</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  final_strides.set(i, <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(i, strides));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> std::make_tuple(starts_abs, ends_abs, final_strides);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</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="namespacearm__compute_1_1test_1_1validation_xhtml_a865514e30baa11b11c8fa65f944532fb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1helpers_1_1tensor__transform_xhtml_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><!-- fragment --> |
| <p class="reference">References <a class="el" href="tensor__transform_8cpp_source.xhtml#l00072">calculate_end_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00039">calculate_start_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00034">calculate_stride_on_index()</a>, and <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::input_shape</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_c_l_strided_slice_kernel_8cpp_source.xhtml#l00104">CLStridedSliceKernel::configure()</a>, <a class="el" href="_n_e_strided_slice_kernel_8cpp_source.xhtml#l00138">NEStridedSliceKernel::configure()</a>, and <a class="el" href="_slice_operations_8cpp_source.xhtml#l00080">arm_compute::test::validation::reference::strided_slice()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="adb1ed814b11a751017250143fb1a9174"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#adb1ed814b11a751017250143fb1a9174">◆ </a></span>compute_strided_slice_output_shape()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> compute_strided_slice_output_shape </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>input_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>starts</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>ends</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>strides</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>begin_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>end_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>shrink_axis_mask</em> = <code>0</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>return_unshrinked</em> = <code>false</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Computes output shape of strided slice. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>Starts and ends must be non-negative </dd> |
| <dd> |
| Starts, ends and final strides should have the same dimensions as the input shape</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">input_shape</td><td>Input tensor shape </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">starts</td><td>Absolute start coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">ends</td><td>Absolute end coordinates </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">strides</td><td>Slice strides </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">begin_mask</td><td>(Optional) If the ith bit of begin_mask is set, starts[i] is ignored and the fullest possible range in that dimension is used instead. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">end_mask</td><td>(Optional) If the ith bit of end_mask is set, end[i] is ignored and the fullest possible range in that dimension is used instead. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shrink_axis_mask</td><td>(Optional) If the ith bit of shrink_axis_mask is set, it implies that the ith specification shrinks the dimensionality by 1. A slice of size 1 starting from starts[i] in the dimension must be preserved. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">return_unshrinked</td><td>(Optional) Returns un-shrinked shape</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>The output tensor shape </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00132">132</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00134"></a><span class="lineno"> 134</span> {</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> index = 0;</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  TensorShape <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>.num_dimensions(); ++i)</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> stride = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a9e3d9626e902ce6f9555d3580e13011e">calculate_stride_on_index</a>(index, strides);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> start = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#a3ff938cc9ead3acbbb2eb10d09d9c457">calculate_start_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>, i, starts, strides, begin_mask);</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> end = <a class="code" href="namespacearm__compute_1_1helpers_1_1tensor__transform.xhtml#aadc7bc8c8e64fd06504c35173c88f7d1">calculate_end_on_index</a>(<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">input_shape</a>, i, start, ends, strides, end_mask, shrink_axis_mask);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> = end - start;</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> <span class="keywordtype">bool</span> is_shrink = <a class="code" href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a>(shrink_axis_mask, i);</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  <span class="keywordflow">if</span>(return_unshrinked || !is_shrink)</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">if</span>((<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> == 0) || <span class="comment">// Zero range</span></div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  (range < 0 && stride >= 0) || <span class="comment">// Negative range with positive stride</span></div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  (<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> > 0 && stride <= 0)) <span class="comment">// Positive range with negative stride</span></div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  {</div><div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>.set(index, 0);</div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>;</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  }</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="keywordflow">else</span></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>  <span class="keywordtype">int</span> dim = <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> / stride + (<a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">range</a> % stride != 0 ? 1 : 0);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>.set(index++, dim);</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  }</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">output_shape</a>;</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> }</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="namespacearm__compute_1_1helpers_1_1bit__ops_xhtml_a54d65336303dbf657a5e954f72b37941"><div class="ttname"><a href="namespacearm__compute_1_1helpers_1_1bit__ops.xhtml#a54d65336303dbf657a5e954f72b37941">arm_compute::helpers::bit_ops::is_bit_set</a></div><div class="ttdeci">bool is_bit_set(T v, unsigned int idx)</div><div class="ttdoc">Checks if the idx-th bit is set in an integral type.</div><div class="ttdef"><b>Definition:</b> <a href="bit__ops_8h_source.xhtml#l00045">bit_ops.h:45</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a865514e30baa11b11c8fa65f944532fb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a865514e30baa11b11c8fa65f944532fb">arm_compute::test::validation::input_shape</a></div><div class="ttdeci">input_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a87f09c74765be18a99038478f96daf9b"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a87f09c74765be18a99038478f96daf9b">arm_compute::test::validation::reference::range</a></div><div class="ttdeci">SimpleTensor< T > range(SimpleTensor< T > &dst, float start, const size_t num_of_elements, float step)</div><div class="ttdef"><b>Definition:</b> <a href="reference_2_range_8cpp_source.xhtml#l00050">Range.cpp:50</a></div></div> |
| <div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a7fc93f37dac131a1a40b7921f9df3a9a"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a7fc93f37dac131a1a40b7921f9df3a9a">arm_compute::test::validation::output_shape</a></div><div class="ttdeci">output_shape</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">ConvolutionLayer.cpp:174</a></div></div> |
| <div class="ttc" id="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><!-- fragment --> |
| <p class="reference">References <a class="el" href="tensor__transform_8cpp_source.xhtml#l00072">calculate_end_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00039">calculate_start_on_index()</a>, <a class="el" href="tensor__transform_8cpp_source.xhtml#l00034">calculate_stride_on_index()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::input_shape</a>, <a class="el" href="bit__ops_8h_source.xhtml#l00045">arm_compute::helpers::bit_ops::is_bit_set()</a>, <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00174">arm_compute::test::validation::output_shape</a>, and <a class="el" href="reference_2_range_8cpp_source.xhtml#l00050">arm_compute::test::validation::reference::range()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00981">arm_compute::misc::shape_calculator::compute_slice_shape()</a>, <a class="el" href="_shape_calculator_8h_source.xhtml#l00965">arm_compute::misc::shape_calculator::compute_strided_slice_shape()</a>, and <a class="el" href="_slice_operations_8cpp_source.xhtml#l00080">arm_compute::test::validation::reference::strided_slice()</a>.</p> |
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| <h2 class="memtitle"><span class="permalink"><a href="#a396d80389277ad8cd13a5e0567776191">◆ </a></span>construct_slice_end_mask()</h2> |
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| <td class="memname">int32_t construct_slice_end_mask </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> </td> |
| <td class="paramname"><em>ends</em></td><td>)</td> |
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| <p>Constructs end mask in case we want to perform a slice operation using the strided slice interface. </p> |
| <dl class="section note"><dt>Note</dt><dd>Ends are inclusive in slice operations that is why construction an end mask is needed</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
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| <tr><td class="paramdir">[in]</td><td class="paramname">ends</td><td>End coordinates</td></tr> |
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| </dd> |
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| <dl class="section return"><dt>Returns</dt><dd>End mask </dd></dl> |
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| <p class="definition">Definition at line <a class="el" href="tensor__transform_8cpp_source.xhtml#l00165">165</a> of file <a class="el" href="tensor__transform_8cpp_source.xhtml">tensor_transform.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="comment">// Create end mask</span></div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  int32_t end_mask = 0;</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  <span class="keywordflow">for</span>(<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < ends.num_dimensions(); ++i)</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  {</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keywordflow">if</span>(ends[i] < 0)</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  {</div><div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  end_mask |= 1 << i;</div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  }</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  }</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span> </div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  <span class="keywordflow">return</span> end_mask;</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span> }</div></div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_shape_calculator_8h_source.xhtml#l00981">arm_compute::misc::shape_calculator::compute_slice_shape()</a>, <a class="el" href="_c_l_slice_8cpp_source.xhtml#l00034">CLSlice::configure()</a>, <a class="el" href="_n_e_slice_8cpp_source.xhtml#l00036">NESlice::configure()</a>, <a class="el" href="_c_l_slice_8cpp_source.xhtml#l00046">CLSlice::validate()</a>, and <a class="el" href="_n_e_slice_8cpp_source.xhtml#l00048">NESlice::validate()</a>.</p> |
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