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 117   <div class="summary">
 118 <a href="#pub-methods">Public Member Functions</a>  </div>
 119   <div class="headertitle">
 120 <div class="title">TensorInfo Class Reference</div>  </div>
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 122 <div class="contents">
 123
 124 <p>Store the tensor's metadata.
 125  <a href="classarm__compute_1_1_tensor_info.xhtml#details">More...</a></p>
 126
 127 <p><code>#include &lt;<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>&gt;</code></p>
 128 <table class="memberdecls">
 129 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
 130 Public Member Functions</h2></td></tr>
 131 <tr class="memitem:a21c2ae9fa438faf42669dadda628080c"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a> ()</td></tr>
 132 <tr class="memdesc:a21c2ae9fa438faf42669dadda628080c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default constructor.  <a href="#a21c2ae9fa438faf42669dadda628080c">More...</a><br /></td></tr>
 133 <tr class="separator:a21c2ae9fa438faf42669dadda628080c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 134 <tr class="memitem:a39cbe92494f53364366a6cddde0b5741"><td class="memItemLeft" align="right" valign="top">virtual&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a39cbe92494f53364366a6cddde0b5741">~TensorInfo</a> ()=default</td></tr>
 135 <tr class="memdesc:a39cbe92494f53364366a6cddde0b5741"><td class="mdescLeft">&#160;</td><td class="mdescRight">Default destructor.  <a href="#a39cbe92494f53364366a6cddde0b5741">More...</a><br /></td></tr>
 136 <tr class="separator:a39cbe92494f53364366a6cddde0b5741"><td class="memSeparator" colspan="2">&#160;</td></tr>
 137 <tr class="memitem:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a494e9aa78ff5dde1788e0f9a8ba2213a">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;)=default</td></tr>
 138 <tr class="memdesc:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copy constructed.  <a href="#a494e9aa78ff5dde1788e0f9a8ba2213a">More...</a><br /></td></tr>
 139 <tr class="separator:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 140 <tr class="memitem:adcf156ba30ff118c28690671e83ea06b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#adcf156ba30ff118c28690671e83ea06b">operator=</a> (const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;)=default</td></tr>
 141 <tr class="memdesc:adcf156ba30ff118c28690671e83ea06b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be copied.  <a href="#adcf156ba30ff118c28690671e83ea06b">More...</a><br /></td></tr>
 142 <tr class="separator:adcf156ba30ff118c28690671e83ea06b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 143 <tr class="memitem:a134dfebc14c0e971f8df850846764f8e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a134dfebc14c0e971f8df850846764f8e">TensorInfo</a> (<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;)=default</td></tr>
 144 <tr class="memdesc:a134dfebc14c0e971f8df850846764f8e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be move constructed.  <a href="#a134dfebc14c0e971f8df850846764f8e">More...</a><br /></td></tr>
 145 <tr class="separator:a134dfebc14c0e971f8df850846764f8e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 146 <tr class="memitem:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a532c27f6bf3cd9275cb7fc9a0d0bbf6e">operator=</a> (<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;)=default</td></tr>
 147 <tr class="memdesc:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Allow instances of this class to be moved.  <a href="#a532c27f6bf3cd9275cb7fc9a0d0bbf6e">More...</a><br /></td></tr>
 148 <tr class="separator:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 149 <tr class="memitem:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac307dc31ce68e3cf1273ffbc86e57646">TensorInfo</a> (unsigned int width, unsigned int height, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>)</td></tr>
 150 <tr class="memdesc:ac307dc31ce68e3cf1273ffbc86e57646"><td class="mdescLeft">&#160;</td><td class="mdescRight">2D tensor constructor  <a href="#ac307dc31ce68e3cf1273ffbc86e57646">More...</a><br /></td></tr>
 151 <tr class="separator:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memSeparator" colspan="2">&#160;</td></tr>
 152 <tr class="memitem:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9fa5acc4d8fd911b9b2fece99d3d5a8d">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>)</td></tr>
 153 <tr class="memdesc:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a9fa5acc4d8fd911b9b2fece99d3d5a8d">More...</a><br /></td></tr>
 154 <tr class="separator:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 155 <tr class="memitem:a012511e08bdbf1822331597d2180497e"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a012511e08bdbf1822331597d2180497e">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aac568c9183b365ddb66417b54ab8bf3d">fixed_point_pos</a>=0)</td></tr>
 156 <tr class="memdesc:a012511e08bdbf1822331597d2180497e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#a012511e08bdbf1822331597d2180497e">More...</a><br /></td></tr>
 157 <tr class="separator:a012511e08bdbf1822331597d2180497e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 158 <tr class="memitem:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memItemLeft" align="right" valign="top">&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad3e249a7d8f329aa470d6903c9e415fe">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 159 <tr class="memdesc:ad3e249a7d8f329aa470d6903c9e415fe"><td class="mdescLeft">&#160;</td><td class="mdescRight">Constructor.  <a href="#ad3e249a7d8f329aa470d6903c9e415fe">More...</a><br /></td></tr>
 160 <tr class="separator:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memSeparator" colspan="2">&#160;</td></tr>
 161 <tr class="memitem:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0ae7d318c02e56a3daa9e5e4f9dab117">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>)</td></tr>
 162 <tr class="memdesc:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#a0ae7d318c02e56a3daa9e5e4f9dab117">More...</a><br /></td></tr>
 163 <tr class="separator:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memSeparator" colspan="2">&#160;</td></tr>
 164 <tr class="memitem:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad4b6171ddcf854de5d1226cd4d0b0439">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6b157a0e1ca25ef4d682d3bedfeae5f6">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad590b0e52b0574c9c2fce393ede1fa7a">offset_first_element_in_bytes</a>, size_t total_size_in_bytes)</td></tr>
 165 <tr class="memdesc:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#ad4b6171ddcf854de5d1226cd4d0b0439">More...</a><br /></td></tr>
 166 <tr class="separator:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memSeparator" colspan="2">&#160;</td></tr>
 167 <tr class="memitem:af3717e26c7309fda3be6e7e87f142eab"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3717e26c7309fda3be6e7e87f142eab">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aac568c9183b365ddb66417b54ab8bf3d">fixed_point_pos</a>=0)</td></tr>
 168 <tr class="memdesc:af3717e26c7309fda3be6e7e87f142eab"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#af3717e26c7309fda3be6e7e87f142eab">More...</a><br /></td></tr>
 169 <tr class="separator:af3717e26c7309fda3be6e7e87f142eab"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 <tr class="memitem:a7b21c13a1b353cfd16dafcff4e5f4eea"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a7b21c13a1b353cfd16dafcff4e5f4eea">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6b157a0e1ca25ef4d682d3bedfeae5f6">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad590b0e52b0574c9c2fce393ede1fa7a">offset_first_element_in_bytes</a>, size_t total_size_in_bytes, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aac568c9183b365ddb66417b54ab8bf3d">fixed_point_pos</a>=0)</td></tr>
 171 <tr class="memdesc:a7b21c13a1b353cfd16dafcff4e5f4eea"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure with the given parameters.  <a href="#a7b21c13a1b353cfd16dafcff4e5f4eea">More...</a><br /></td></tr>
 172 <tr class="separator:a7b21c13a1b353cfd16dafcff4e5f4eea"><td class="memSeparator" colspan="2">&#160;</td></tr>
 173 <tr class="memitem:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eaa68a1707f4ff3983c6dddd21794ea">init</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 174 <tr class="memdesc:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata.  <a href="#a4eaa68a1707f4ff3983c6dddd21794ea">More...</a><br /></td></tr>
 175 <tr class="separator:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 <tr class="memitem:a4b7391b7025befbe44b743723feb4a9b"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4b7391b7025befbe44b743723feb4a9b">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>)</td></tr>
 177 <tr class="memdesc:a4b7391b7025befbe44b743723feb4a9b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated)  <a href="#a4b7391b7025befbe44b743723feb4a9b">More...</a><br /></td></tr>
 178 <tr class="separator:a4b7391b7025befbe44b743723feb4a9b"><td class="memSeparator" colspan="2">&#160;</td></tr>
 179 <tr class="memitem:ae37b83cdf38ffc8fa5e037faa7bcad52"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ae37b83cdf38ffc8fa5e037faa7bcad52">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aac568c9183b365ddb66417b54ab8bf3d">fixed_point_pos</a>=0)</td></tr>
 180 <tr class="memdesc:ae37b83cdf38ffc8fa5e037faa7bcad52"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position.  <a href="#ae37b83cdf38ffc8fa5e037faa7bcad52">More...</a><br /></td></tr>
 181 <tr class="separator:ae37b83cdf38ffc8fa5e037faa7bcad52"><td class="memSeparator" colspan="2">&#160;</td></tr>
 182 <tr class="memitem:a9a30265f100a459de985a9f3f91db76c"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a30265f100a459de985a9f3f91db76c">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;hog_info, unsigned int width, unsigned int height)</td></tr>
 183 <tr class="memdesc:a9a30265f100a459de985a9f3f91db76c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata.  <a href="#a9a30265f100a459de985a9f3f91db76c">More...</a><br /></td></tr>
 184 <tr class="separator:a9a30265f100a459de985a9f3f91db76c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 185 <tr class="memitem:ac7af0020334c69f249f5a2e267a5c4f4"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac7af0020334c69f249f5a2e267a5c4f4">auto_padding</a> ()</td></tr>
 186 <tr class="memdesc:ac7af0020334c69f249f5a2e267a5c4f4"><td class="mdescLeft">&#160;</td><td class="mdescRight">Update the offset to the first element and the strides to automatically computed values.  <a href="#ac7af0020334c69f249f5a2e267a5c4f4">More...</a><br /></td></tr>
 187 <tr class="separator:ac7af0020334c69f249f5a2e267a5c4f4"><td class="memSeparator" colspan="2">&#160;</td></tr>
 188 <tr class="memitem:a8d37b60af520149481b2c7bbe1d829fd"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a8d37b60af520149481b2c7bbe1d829fd">extend_padding</a> (const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> &amp;<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad13a67d4dbc337c707a76401dc103ff3">padding</a>)</td></tr>
 189 <tr class="memdesc:a8d37b60af520149481b2c7bbe1d829fd"><td class="mdescLeft">&#160;</td><td class="mdescRight">Update the offset to the first element, the strides and the total size.  <a href="#a8d37b60af520149481b2c7bbe1d829fd">More...</a><br /></td></tr>
 190 <tr class="separator:a8d37b60af520149481b2c7bbe1d829fd"><td class="memSeparator" colspan="2">&#160;</td></tr>
 191 <tr class="memitem:a1f4481a2c496ef1d176f305c25f50202"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a1f4481a2c496ef1d176f305c25f50202">set_format</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a>)</td></tr>
 192 <tr class="memdesc:a1f4481a2c496ef1d176f305c25f50202"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the format of an already initialized tensor.  <a href="#a1f4481a2c496ef1d176f305c25f50202">More...</a><br /></td></tr>
 193 <tr class="separator:a1f4481a2c496ef1d176f305c25f50202"><td class="memSeparator" colspan="2">&#160;</td></tr>
 194 <tr class="memitem:a6c223d48dcc4afd27b6f3932182622b6"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6c223d48dcc4afd27b6f3932182622b6">dimension</a> (size_t index) const </td></tr>
 195 <tr class="memdesc:a6c223d48dcc4afd27b6f3932182622b6"><td class="mdescLeft">&#160;</td><td class="mdescRight">Return the size of the requested dimension.  <a href="#a6c223d48dcc4afd27b6f3932182622b6">More...</a><br /></td></tr>
 196 <tr class="separator:a6c223d48dcc4afd27b6f3932182622b6"><td class="memSeparator" colspan="2">&#160;</td></tr>
 197 <tr class="memitem:a6b157a0e1ca25ef4d682d3bedfeae5f6"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6b157a0e1ca25ef4d682d3bedfeae5f6">strides_in_bytes</a> () const </td></tr>
 198 <tr class="memdesc:a6b157a0e1ca25ef4d682d3bedfeae5f6"><td class="mdescLeft">&#160;</td><td class="mdescRight">The strides in bytes for accessing each dimension of the tensor.  <a href="#a6b157a0e1ca25ef4d682d3bedfeae5f6">More...</a><br /></td></tr>
 199 <tr class="separator:a6b157a0e1ca25ef4d682d3bedfeae5f6"><td class="memSeparator" colspan="2">&#160;</td></tr>
 200 <tr class="memitem:ad590b0e52b0574c9c2fce393ede1fa7a"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad590b0e52b0574c9c2fce393ede1fa7a">offset_first_element_in_bytes</a> () const </td></tr>
 201 <tr class="memdesc:ad590b0e52b0574c9c2fce393ede1fa7a"><td class="mdescLeft">&#160;</td><td class="mdescRight">The offset from the beginning of the memory allocation to the first element of the tensor.  <a href="#ad590b0e52b0574c9c2fce393ede1fa7a">More...</a><br /></td></tr>
 202 <tr class="separator:ad590b0e52b0574c9c2fce393ede1fa7a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 203 <tr class="memitem:aaf5cc084e0feafccc97492d688f4e2e2"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaf5cc084e0feafccc97492d688f4e2e2">offset_element_in_bytes</a> (const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;pos) const </td></tr>
 204 <tr class="memdesc:aaf5cc084e0feafccc97492d688f4e2e2"><td class="mdescLeft">&#160;</td><td class="mdescRight">The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...)  <a href="#aaf5cc084e0feafccc97492d688f4e2e2">More...</a><br /></td></tr>
 205 <tr class="separator:aaf5cc084e0feafccc97492d688f4e2e2"><td class="memSeparator" colspan="2">&#160;</td></tr>
 206 <tr class="memitem:aac568c9183b365ddb66417b54ab8bf3d"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aac568c9183b365ddb66417b54ab8bf3d">fixed_point_pos</a> () const </td></tr>
 207 <tr class="memdesc:aac568c9183b365ddb66417b54ab8bf3d"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fixed point position used when the tensor data type is S8, S16 or S32.  <a href="#aac568c9183b365ddb66417b54ab8bf3d">More...</a><br /></td></tr>
 208 <tr class="separator:aac568c9183b365ddb66417b54ab8bf3d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 209 <tr class="memitem:a448f57f9d6aec61b3d85b898affe4a2e"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a448f57f9d6aec61b3d85b898affe4a2e">element_size</a> () const </td></tr>
 210 <tr class="memdesc:a448f57f9d6aec61b3d85b898affe4a2e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Element size in bytes calculated as data_size() * num_channels.  <a href="#a448f57f9d6aec61b3d85b898affe4a2e">More...</a><br /></td></tr>
 211 <tr class="separator:a448f57f9d6aec61b3d85b898affe4a2e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 212 <tr class="memitem:a38382dc1f04d28cab04d921b8324dc07"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a38382dc1f04d28cab04d921b8324dc07">num_dimensions</a> () const </td></tr>
 213 <tr class="memdesc:a38382dc1f04d28cab04d921b8324dc07"><td class="mdescLeft">&#160;</td><td class="mdescRight">The number of dimensions of the tensor (rank)  <a href="#a38382dc1f04d28cab04d921b8324dc07">More...</a><br /></td></tr>
 214 <tr class="separator:a38382dc1f04d28cab04d921b8324dc07"><td class="memSeparator" colspan="2">&#160;</td></tr>
 215 <tr class="memitem:a330472af42b92ad18b93c06d5b510faa"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a330472af42b92ad18b93c06d5b510faa">num_channels</a> () const </td></tr>
 216 <tr class="memdesc:a330472af42b92ad18b93c06d5b510faa"><td class="mdescLeft">&#160;</td><td class="mdescRight">The number of channels for each tensor element.  <a href="#a330472af42b92ad18b93c06d5b510faa">More...</a><br /></td></tr>
 217 <tr class="separator:a330472af42b92ad18b93c06d5b510faa"><td class="memSeparator" colspan="2">&#160;</td></tr>
 218 <tr class="memitem:af3374fa8fcc6d226dc2b82317ab4d079"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af3374fa8fcc6d226dc2b82317ab4d079">tensor_shape</a> () const </td></tr>
 219 <tr class="memdesc:af3374fa8fcc6d226dc2b82317ab4d079"><td class="mdescLeft">&#160;</td><td class="mdescRight">Size for each dimension of the tensor.  <a href="#af3374fa8fcc6d226dc2b82317ab4d079">More...</a><br /></td></tr>
 220 <tr class="separator:af3374fa8fcc6d226dc2b82317ab4d079"><td class="memSeparator" colspan="2">&#160;</td></tr>
 221 <tr class="memitem:a45cc7b9a37aa9f0e7d479248a27e1f58"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a45cc7b9a37aa9f0e7d479248a27e1f58">data_type</a> () const </td></tr>
 222 <tr class="memdesc:a45cc7b9a37aa9f0e7d479248a27e1f58"><td class="mdescLeft">&#160;</td><td class="mdescRight">Data type used for each element of the tensor.  <a href="#a45cc7b9a37aa9f0e7d479248a27e1f58">More...</a><br /></td></tr>
 223 <tr class="separator:a45cc7b9a37aa9f0e7d479248a27e1f58"><td class="memSeparator" colspan="2">&#160;</td></tr>
 224 <tr class="memitem:a0c875a3203d902e2ad6bc3045355e69e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a0c875a3203d902e2ad6bc3045355e69e">format</a> () const </td></tr>
 225 <tr class="memdesc:a0c875a3203d902e2ad6bc3045355e69e"><td class="mdescLeft">&#160;</td><td class="mdescRight">Colour format of the image.  <a href="#a0c875a3203d902e2ad6bc3045355e69e">More...</a><br /></td></tr>
 226 <tr class="separator:a0c875a3203d902e2ad6bc3045355e69e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 227 <tr class="memitem:a4eaec01ba2c12093db609d1034ad0bc1"><td class="memItemLeft" align="right" valign="top">size_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eaec01ba2c12093db609d1034ad0bc1">total_size</a> () const </td></tr>
 228 <tr class="memdesc:a4eaec01ba2c12093db609d1034ad0bc1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Returns the total size of the tensor in bytes.  <a href="#a4eaec01ba2c12093db609d1034ad0bc1">More...</a><br /></td></tr>
 229 <tr class="separator:a4eaec01ba2c12093db609d1034ad0bc1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 230 <tr class="memitem:ad13a67d4dbc337c707a76401dc103ff3"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad13a67d4dbc337c707a76401dc103ff3">padding</a> () const </td></tr>
 231 <tr class="memdesc:ad13a67d4dbc337c707a76401dc103ff3"><td class="mdescLeft">&#160;</td><td class="mdescRight">Padding of tensor.  <a href="#ad13a67d4dbc337c707a76401dc103ff3">More...</a><br /></td></tr>
 232 <tr class="separator:ad13a67d4dbc337c707a76401dc103ff3"><td class="memSeparator" colspan="2">&#160;</td></tr>
 233 <tr class="memitem:a9f7c904411f0871ed5b37eecb1c03de2"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9f7c904411f0871ed5b37eecb1c03de2">has_padding</a> () const </td></tr>
 234 <tr class="memdesc:a9f7c904411f0871ed5b37eecb1c03de2"><td class="mdescLeft">&#160;</td><td class="mdescRight">Checks if the tensor has been allocated with padding or not.  <a href="#a9f7c904411f0871ed5b37eecb1c03de2">More...</a><br /></td></tr>
 235 <tr class="separator:a9f7c904411f0871ed5b37eecb1c03de2"><td class="memSeparator" colspan="2">&#160;</td></tr>
 236 <tr class="memitem:aa29d70e3b3c82e0857a6be5280b70ee0"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa29d70e3b3c82e0857a6be5280b70ee0">is_resizable</a> () const </td></tr>
 237 <tr class="memdesc:aa29d70e3b3c82e0857a6be5280b70ee0"><td class="mdescLeft">&#160;</td><td class="mdescRight">Flag indicating whether the size of the tensor can be changed.  <a href="#aa29d70e3b3c82e0857a6be5280b70ee0">More...</a><br /></td></tr>
 238 <tr class="separator:aa29d70e3b3c82e0857a6be5280b70ee0"><td class="memSeparator" colspan="2">&#160;</td></tr>
 239 <tr class="memitem:a951c1a7a29e99b39d59ee44111291c76"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a951c1a7a29e99b39d59ee44111291c76">set_is_resizable</a> (bool <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa29d70e3b3c82e0857a6be5280b70ee0">is_resizable</a>)</td></tr>
 240 <tr class="memdesc:a951c1a7a29e99b39d59ee44111291c76"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the flag whether the tensor size can be changed.  <a href="#a951c1a7a29e99b39d59ee44111291c76">More...</a><br /></td></tr>
 241 <tr class="separator:a951c1a7a29e99b39d59ee44111291c76"><td class="memSeparator" colspan="2">&#160;</td></tr>
 242 <tr class="memitem:ac437ef0718add962a4059fb3b3084c34"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac437ef0718add962a4059fb3b3084c34">valid_region</a> () const </td></tr>
 243 <tr class="memdesc:ac437ef0718add962a4059fb3b3084c34"><td class="mdescLeft">&#160;</td><td class="mdescRight">Valid region of the tensor.  <a href="#ac437ef0718add962a4059fb3b3084c34">More...</a><br /></td></tr>
 244 <tr class="separator:ac437ef0718add962a4059fb3b3084c34"><td class="memSeparator" colspan="2">&#160;</td></tr>
 245 <tr class="memitem:a6922a99119f324abe0e16c9678f71922"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6922a99119f324abe0e16c9678f71922">set_valid_region</a> (<a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac437ef0718add962a4059fb3b3084c34">valid_region</a>)</td></tr>
 246 <tr class="memdesc:a6922a99119f324abe0e16c9678f71922"><td class="mdescLeft">&#160;</td><td class="mdescRight">Set the valid region of the tensor.  <a href="#a6922a99119f324abe0e16c9678f71922">More...</a><br /></td></tr>
 247 <tr class="separator:a6922a99119f324abe0e16c9678f71922"><td class="memSeparator" colspan="2">&#160;</td></tr>
 248 </table>
 249 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
 250 <div class="textblock"><p>Store the tensor's metadata. </p>
 251
 252 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00040">40</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 253 </div><h2 class="groupheader">Constructor &amp; Destructor Documentation</h2>
 254 <a class="anchor" id="a21c2ae9fa438faf42669dadda628080c"></a>
 255 <div class="memitem">
 256 <div class="memproto">
 257       <table class="memname">
 258         <tr>
 259           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 260           <td>(</td>
 261           <td class="paramname"></td><td>)</td>
 262           <td></td>
 263         </tr>
 264       </table>
 265 </div><div class="memdoc">
 266
 267 <p>Default constructor. </p>
 268
 269 </div>
 270 </div>
 271 <a class="anchor" id="a39cbe92494f53364366a6cddde0b5741"></a>
 272 <div class="memitem">
 273 <div class="memproto">
 274 <table class="mlabels">
 275   <tr>
 276   <td class="mlabels-left">
 277       <table class="memname">
 278         <tr>
 279           <td class="memname">virtual ~<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 280           <td>(</td>
 281           <td class="paramname"></td><td>)</td>
 282           <td></td>
 283         </tr>
 284       </table>
 285   </td>
 286   <td class="mlabels-right">
 287 <span class="mlabels"><span class="mlabel">virtual</span><span class="mlabel">default</span></span>  </td>
 288   </tr>
 289 </table>
 290 </div><div class="memdoc">
 291
 292 <p>Default destructor. </p>
 293
 294 </div>
 295 </div>
 296 <a class="anchor" id="a494e9aa78ff5dde1788e0f9a8ba2213a"></a>
 297 <div class="memitem">
 298 <div class="memproto">
 299 <table class="mlabels">
 300   <tr>
 301   <td class="mlabels-left">
 302       <table class="memname">
 303         <tr>
 304           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 305           <td>(</td>
 306           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
 307           <td class="paramname"></td><td>)</td>
 308           <td></td>
 309         </tr>
 310       </table>
 311   </td>
 312   <td class="mlabels-right">
 313 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 314   </tr>
 315 </table>
 316 </div><div class="memdoc">
 317
 318 <p>Allow instances of this class to be copy constructed. </p>
 319
 320 </div>
 321 </div>
 322 <a class="anchor" id="a134dfebc14c0e971f8df850846764f8e"></a>
 323 <div class="memitem">
 324 <div class="memproto">
 325 <table class="mlabels">
 326   <tr>
 327   <td class="mlabels-left">
 328       <table class="memname">
 329         <tr>
 330           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 331           <td>(</td>
 332           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;&#160;</td>
 333           <td class="paramname"></td><td>)</td>
 334           <td></td>
 335         </tr>
 336       </table>
 337   </td>
 338   <td class="mlabels-right">
 339 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
 340   </tr>
 341 </table>
 342 </div><div class="memdoc">
 343
 344 <p>Allow instances of this class to be move constructed. </p>
 345
 346 </div>
 347 </div>
 348 <a class="anchor" id="ac307dc31ce68e3cf1273ffbc86e57646"></a>
 349 <div class="memitem">
 350 <div class="memproto">
 351       <table class="memname">
 352         <tr>
 353           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 354           <td>(</td>
 355           <td class="paramtype">unsigned int&#160;</td>
 356           <td class="paramname"><em>width</em>, </td>
 357         </tr>
 358         <tr>
 359           <td class="paramkey"></td>
 360           <td></td>
 361           <td class="paramtype">unsigned int&#160;</td>
 362           <td class="paramname"><em>height</em>, </td>
 363         </tr>
 364         <tr>
 365           <td class="paramkey"></td>
 366           <td></td>
 367           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 368           <td class="paramname"><em>format</em>&#160;</td>
 369         </tr>
 370         <tr>
 371           <td></td>
 372           <td>)</td>
 373           <td></td><td></td>
 374         </tr>
 375       </table>
 376 </div><div class="memdoc">
 377
 378 <p>2D tensor constructor </p>
 379 <dl class="params"><dt>Parameters</dt><dd>
 380   <table class="params">
 381     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor </td></tr>
 382     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor </td></tr>
 383     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 384   </table>
 385   </dd>
 386 </dl>
 387
 388 </div>
 389 </div>
 390 <a class="anchor" id="a9fa5acc4d8fd911b9b2fece99d3d5a8d"></a>
 391 <div class="memitem">
 392 <div class="memproto">
 393       <table class="memname">
 394         <tr>
 395           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 396           <td>(</td>
 397           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 398           <td class="paramname"><em>tensor_shape</em>, </td>
 399         </tr>
 400         <tr>
 401           <td class="paramkey"></td>
 402           <td></td>
 403           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 404           <td class="paramname"><em>format</em>&#160;</td>
 405         </tr>
 406         <tr>
 407           <td></td>
 408           <td>)</td>
 409           <td></td><td></td>
 410         </tr>
 411       </table>
 412 </div><div class="memdoc">
 413
 414 <p>Constructor. </p>
 415 <dl class="params"><dt>Parameters</dt><dd>
 416   <table class="params">
 417     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements. </td></tr>
 418     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 419   </table>
 420   </dd>
 421 </dl>
 422
 423 </div>
 424 </div>
 425 <a class="anchor" id="a012511e08bdbf1822331597d2180497e"></a>
 426 <div class="memitem">
 427 <div class="memproto">
 428       <table class="memname">
 429         <tr>
 430           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 431           <td>(</td>
 432           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 433           <td class="paramname"><em>tensor_shape</em>, </td>
 434         </tr>
 435         <tr>
 436           <td class="paramkey"></td>
 437           <td></td>
 438           <td class="paramtype">size_t&#160;</td>
 439           <td class="paramname"><em>num_channels</em>, </td>
 440         </tr>
 441         <tr>
 442           <td class="paramkey"></td>
 443           <td></td>
 444           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 445           <td class="paramname"><em>data_type</em>, </td>
 446         </tr>
 447         <tr>
 448           <td class="paramkey"></td>
 449           <td></td>
 450           <td class="paramtype">size_t&#160;</td>
 451           <td class="paramname"><em>fixed_point_pos</em> = <code>0</code>&#160;</td>
 452         </tr>
 453         <tr>
 454           <td></td>
 455           <td>)</td>
 456           <td></td><td></td>
 457         </tr>
 458       </table>
 459 </div><div class="memdoc">
 460
 461 <p>Constructor. </p>
 462 <dl class="params"><dt>Parameters</dt><dd>
 463   <table class="params">
 464     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements. </td></tr>
 465     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
 466     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
 467     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_pos</td><td>(Optional) It specifies the fixed point position when the tensor data type is INT8, INT16 or INT32. (Default = 0) If 0, calculations are performed in integer math </td></tr>
 468   </table>
 469   </dd>
 470 </dl>
 471
 472 </div>
 473 </div>
 474 <a class="anchor" id="ad3e249a7d8f329aa470d6903c9e415fe"></a>
 475 <div class="memitem">
 476 <div class="memproto">
 477       <table class="memname">
 478         <tr>
 479           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
 480           <td>(</td>
 481           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
 482           <td class="paramname"><em>hog_info</em>, </td>
 483         </tr>
 484         <tr>
 485           <td class="paramkey"></td>
 486           <td></td>
 487           <td class="paramtype">unsigned int&#160;</td>
 488           <td class="paramname"><em>width</em>, </td>
 489         </tr>
 490         <tr>
 491           <td class="paramkey"></td>
 492           <td></td>
 493           <td class="paramtype">unsigned int&#160;</td>
 494           <td class="paramname"><em>height</em>&#160;</td>
 495         </tr>
 496         <tr>
 497           <td></td>
 498           <td>)</td>
 499           <td></td><td></td>
 500         </tr>
 501       </table>
 502 </div><div class="memdoc">
 503
 504 <p>Constructor. </p>
 505 <dl class="params"><dt>Parameters</dt><dd>
 506   <table class="params">
 507     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
 508     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 509     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 510   </table>
 511   </dd>
 512 </dl>
 513
 514 </div>
 515 </div>
 516 <h2 class="groupheader">Member Function Documentation</h2>
 517 <a class="anchor" id="ac7af0020334c69f249f5a2e267a5c4f4"></a>
 518 <div class="memitem">
 519 <div class="memproto">
 520       <table class="memname">
 521         <tr>
 522           <td class="memname">bool auto_padding </td>
 523           <td>(</td>
 524           <td class="paramname"></td><td>)</td>
 525           <td></td>
 526         </tr>
 527       </table>
 528 </div><div class="memdoc">
 529
 530 <p>Update the offset to the first element and the strides to automatically computed values. </p>
 531 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
 532 <dl class="section return"><dt>Returns</dt><dd>True if the strides or the offset to the first element have changed. </dd></dl>
 533
 534 </div>
 535 </div>
 536 <a class="anchor" id="a45cc7b9a37aa9f0e7d479248a27e1f58"></a>
 537 <div class="memitem">
 538 <div class="memproto">
 539 <table class="mlabels">
 540   <tr>
 541   <td class="mlabels-left">
 542       <table class="memname">
 543         <tr>
 544           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type </td>
 545           <td>(</td>
 546           <td class="paramname"></td><td>)</td>
 547           <td> const</td>
 548         </tr>
 549       </table>
 550   </td>
 551   <td class="mlabels-right">
 552 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 553   </tr>
 554 </table>
 555 </div><div class="memdoc">
 556
 557 <p>Data type used for each element of the tensor. </p>
 558 <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_tensor.xhtml" title="Basic implementation of the tensor interface. ">Tensor</a> data type </dd></dl>
 559
 560 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00263">263</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 561
 562 <p>Referenced by <a class="el" href="_validate_8h_source.xhtml#l00227">arm_compute::error_on_data_type_not_in()</a>, and <a class="el" href="_validate_8h_source.xhtml#l00162">arm_compute::error_on_mismatching_data_types()</a>.</p>
 563 <div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno">  264</span>&#160;    {</div><div class="line"><a name="l00265"></a><span class="lineno">  265</span>&#160;        <span class="keywordflow">return</span> _data_type;</div><div class="line"><a name="l00266"></a><span class="lineno">  266</span>&#160;    }</div></div><!-- fragment -->
 564 </div>
 565 </div>
 566 <a class="anchor" id="a6c223d48dcc4afd27b6f3932182622b6"></a>
 567 <div class="memitem">
 568 <div class="memproto">
 569 <table class="mlabels">
 570   <tr>
 571   <td class="mlabels-left">
 572       <table class="memname">
 573         <tr>
 574           <td class="memname">size_t dimension </td>
 575           <td>(</td>
 576           <td class="paramtype">size_t&#160;</td>
 577           <td class="paramname"><em>index</em></td><td>)</td>
 578           <td> const</td>
 579         </tr>
 580       </table>
 581   </td>
 582   <td class="mlabels-right">
 583 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 584   </tr>
 585 </table>
 586 </div><div class="memdoc">
 587
 588 <p>Return the size of the requested dimension. </p>
 589 <dl class="params"><dt>Parameters</dt><dd>
 590   <table class="params">
 591     <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of the dimension</td></tr>
 592   </table>
 593   </dd>
 594 </dl>
 595 <dl class="section return"><dt>Returns</dt><dd>Dimension of the requested dimension </dd></dl>
 596
 597 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00190">190</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 598
 599 <p>Referenced by <a class="el" href="_validate_8h_source.xhtml#l00109">arm_compute::have_different_shapes()</a>, <a class="el" href="cl__events_8cpp_source.xhtml#l00033">main_cl_events()</a>, <a class="el" href="neoncl__scale__median__gaussian_8cpp_source.xhtml#l00039">main_neoncl_scale_median_gaussian()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00160">Window::use_tensor_dimensions()</a>.</p>
 600 <div class="fragment"><div class="line"><a name="l00191"></a><span class="lineno">  191</span>&#160;    {</div><div class="line"><a name="l00192"></a><span class="lineno">  192</span>&#160;        <span class="keywordflow">return</span> _tensor_shape[index];</div><div class="line"><a name="l00193"></a><span class="lineno">  193</span>&#160;    }</div></div><!-- fragment -->
 601 </div>
 602 </div>
 603 <a class="anchor" id="a448f57f9d6aec61b3d85b898affe4a2e"></a>
 604 <div class="memitem">
 605 <div class="memproto">
 606 <table class="mlabels">
 607   <tr>
 608   <td class="mlabels-left">
 609       <table class="memname">
 610         <tr>
 611           <td class="memname">size_t element_size </td>
 612           <td>(</td>
 613           <td class="paramname"></td><td>)</td>
 614           <td> const</td>
 615         </tr>
 616       </table>
 617   </td>
 618   <td class="mlabels-right">
 619 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 620   </tr>
 621 </table>
 622 </div><div class="memdoc">
 623
 624 <p>Element size in bytes calculated as data_size() * num_channels. </p>
 625 <dl class="section return"><dt>Returns</dt><dd>The size of one element in bytes </dd></dl>
 626
 627 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00231">231</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 628
 629 <p>References <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00098">arm_compute::data_size_from_type()</a>.</p>
 630
 631 <p>Referenced by <a class="el" href="_helpers_8h_source.xhtml#l00398">arm_compute::compute_strides()</a>.</p>
 632 <div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno">  232</span>&#160;    {</div><div class="line"><a name="l00233"></a><span class="lineno">  233</span>&#160;        <span class="keywordflow">return</span> <a class="code" href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">data_size_from_type</a>(_data_type) * _num_channels;</div><div class="line"><a name="l00234"></a><span class="lineno">  234</span>&#160;    }</div><div class="ttc" id="namespacearm__compute_xhtml_abb7e0f23a4f2e63f39433f158dad47ab"><div class="ttname"><a href="namespacearm__compute.xhtml#abb7e0f23a4f2e63f39433f158dad47ab">arm_compute::data_size_from_type</a></div><div class="ttdeci">size_t data_size_from_type(DataType data_type)</div><div class="ttdoc">The size in bytes of the data type. </div><div class="ttdef"><b>Definition:</b> <a href="arm__compute_2core_2_utils_8h_source.xhtml#l00098">Utils.h:98</a></div></div>
 633 </div><!-- fragment -->
 634 </div>
 635 </div>
 636 <a class="anchor" id="a8d37b60af520149481b2c7bbe1d829fd"></a>
 637 <div class="memitem">
 638 <div class="memproto">
 639       <table class="memname">
 640         <tr>
 641           <td class="memname">bool extend_padding </td>
 642           <td>(</td>
 643           <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> &amp;&#160;</td>
 644           <td class="paramname"><em>padding</em></td><td>)</td>
 645           <td></td>
 646         </tr>
 647       </table>
 648 </div><div class="memdoc">
 649
 650 <p>Update the offset to the first element, the strides and the total size. </p>
 651 <dl class="section note"><dt>Note</dt><dd>This function can only increase the offset, strides and total size.</dd></dl>
 652 <dl class="params"><dt>Parameters</dt><dd>
 653   <table class="params">
 654     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>Padding around the XY plane in number of elements.</td></tr>
 655   </table>
 656   </dd>
 657 </dl>
 658 <dl class="section return"><dt>Returns</dt><dd>True if the strides, offset and total size have changed. </dd></dl>
 659
 660 </div>
 661 </div>
 662 <a class="anchor" id="aac568c9183b365ddb66417b54ab8bf3d"></a>
 663 <div class="memitem">
 664 <div class="memproto">
 665 <table class="mlabels">
 666   <tr>
 667   <td class="mlabels-left">
 668       <table class="memname">
 669         <tr>
 670           <td class="memname">size_t fixed_point_pos </td>
 671           <td>(</td>
 672           <td class="paramname"></td><td>)</td>
 673           <td> const</td>
 674         </tr>
 675       </table>
 676   </td>
 677   <td class="mlabels-right">
 678 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 679   </tr>
 680 </table>
 681 </div><div class="memdoc">
 682
 683 <p>Fixed point position used when the tensor data type is S8, S16 or S32. </p>
 684 <dl class="section return"><dt>Returns</dt><dd>The fixed point position </dd></dl>
 685
 686 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00223">223</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 687 <div class="fragment"><div class="line"><a name="l00224"></a><span class="lineno">  224</span>&#160;    {</div><div class="line"><a name="l00225"></a><span class="lineno">  225</span>&#160;        <span class="keywordflow">return</span> _fixed_point_pos;</div><div class="line"><a name="l00226"></a><span class="lineno">  226</span>&#160;    }</div></div><!-- fragment -->
 688 </div>
 689 </div>
 690 <a class="anchor" id="a0c875a3203d902e2ad6bc3045355e69e"></a>
 691 <div class="memitem">
 692 <div class="memproto">
 693 <table class="mlabels">
 694   <tr>
 695   <td class="mlabels-left">
 696       <table class="memname">
 697         <tr>
 698           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format </td>
 699           <td>(</td>
 700           <td class="paramname"></td><td>)</td>
 701           <td> const</td>
 702         </tr>
 703       </table>
 704   </td>
 705   <td class="mlabels-right">
 706 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 707   </tr>
 708 </table>
 709 </div><div class="memdoc">
 710
 711 <p>Colour format of the image. </p>
 712 <dl class="section return"><dt>Returns</dt><dd>Colour format of the image </dd></dl>
 713
 714 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00271">271</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 715 <div class="fragment"><div class="line"><a name="l00272"></a><span class="lineno">  272</span>&#160;    {</div><div class="line"><a name="l00273"></a><span class="lineno">  273</span>&#160;        <span class="keywordflow">return</span> _format;</div><div class="line"><a name="l00274"></a><span class="lineno">  274</span>&#160;    }</div></div><!-- fragment -->
 716 </div>
 717 </div>
 718 <a class="anchor" id="a9f7c904411f0871ed5b37eecb1c03de2"></a>
 719 <div class="memitem">
 720 <div class="memproto">
 721 <table class="mlabels">
 722   <tr>
 723   <td class="mlabels-left">
 724       <table class="memname">
 725         <tr>
 726           <td class="memname">bool has_padding </td>
 727           <td>(</td>
 728           <td class="paramname"></td><td>)</td>
 729           <td> const</td>
 730         </tr>
 731       </table>
 732   </td>
 733   <td class="mlabels-right">
 734 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 735   </tr>
 736 </table>
 737 </div><div class="memdoc">
 738
 739 <p>Checks if the tensor has been allocated with padding or not. </p>
 740 <dl class="section return"><dt>Returns</dt><dd>True if padding is allocated in the tensor, otherwise false. </dd></dl>
 741
 742 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00295">295</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
 743
 744 <p>References <a class="el" href="_types_8h_source.xhtml#l00143">BorderSize::empty()</a>.</p>
 745 <div class="fragment"><div class="line"><a name="l00296"></a><span class="lineno">  296</span>&#160;    {</div><div class="line"><a name="l00297"></a><span class="lineno">  297</span>&#160;        <span class="keywordflow">return</span> !_padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">empty</a>();</div><div class="line"><a name="l00298"></a><span class="lineno">  298</span>&#160;    }</div><div class="ttc" id="structarm__compute_1_1_border_size_xhtml_adffbf97e7b8b64e7cf32f0254cddf3c4"><div class="ttname"><a href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">arm_compute::BorderSize::empty</a></div><div class="ttdeci">constexpr bool empty() const </div><div class="ttdoc">Check if the entire border is zero. </div><div class="ttdef"><b>Definition:</b> <a href="_types_8h_source.xhtml#l00143">Types.h:143</a></div></div>
 746 </div><!-- fragment -->
 747 </div>
 748 </div>
 749 <a class="anchor" id="a0ae7d318c02e56a3daa9e5e4f9dab117"></a>
 750 <div class="memitem">
 751 <div class="memproto">
 752       <table class="memname">
 753         <tr>
 754           <td class="memname">void init </td>
 755           <td>(</td>
 756           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 757           <td class="paramname"><em>tensor_shape</em>, </td>
 758         </tr>
 759         <tr>
 760           <td class="paramkey"></td>
 761           <td></td>
 762           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 763           <td class="paramname"><em>format</em>&#160;</td>
 764         </tr>
 765         <tr>
 766           <td></td>
 767           <td>)</td>
 768           <td></td><td></td>
 769         </tr>
 770       </table>
 771 </div><div class="memdoc">
 772
 773 <p>Initialize the metadata structure with the given parameters. </p>
 774 <dl class="params"><dt>Parameters</dt><dd>
 775   <table class="params">
 776     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
 777     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 778   </table>
 779   </dd>
 780 </dl>
 781
 782 </div>
 783 </div>
 784 <a class="anchor" id="ad4b6171ddcf854de5d1226cd4d0b0439"></a>
 785 <div class="memitem">
 786 <div class="memproto">
 787       <table class="memname">
 788         <tr>
 789           <td class="memname">void init </td>
 790           <td>(</td>
 791           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 792           <td class="paramname"><em>tensor_shape</em>, </td>
 793         </tr>
 794         <tr>
 795           <td class="paramkey"></td>
 796           <td></td>
 797           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
 798           <td class="paramname"><em>format</em>, </td>
 799         </tr>
 800         <tr>
 801           <td class="paramkey"></td>
 802           <td></td>
 803           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
 804           <td class="paramname"><em>strides_in_bytes</em>, </td>
 805         </tr>
 806         <tr>
 807           <td class="paramkey"></td>
 808           <td></td>
 809           <td class="paramtype">size_t&#160;</td>
 810           <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
 811         </tr>
 812         <tr>
 813           <td class="paramkey"></td>
 814           <td></td>
 815           <td class="paramtype">size_t&#160;</td>
 816           <td class="paramname"><em>total_size_in_bytes</em>&#160;</td>
 817         </tr>
 818         <tr>
 819           <td></td>
 820           <td>)</td>
 821           <td></td><td></td>
 822         </tr>
 823       </table>
 824 </div><div class="memdoc">
 825
 826 <p>Initialize the metadata structure with the given parameters. </p>
 827 <dl class="params"><dt>Parameters</dt><dd>
 828   <table class="params">
 829     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
 830     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
 831     <tr><td class="paramdir">[in]</td><td class="paramname">strides_in_bytes</td><td>Stride in bytes for accessing each dimension of the tensor. </td></tr>
 832     <tr><td class="paramdir">[in]</td><td class="paramname">offset_first_element_in_bytes</td><td>Offset in bytes from the beginning of memory allocation to access the first element. </td></tr>
 833     <tr><td class="paramdir">[in]</td><td class="paramname">total_size_in_bytes</td><td>Size in bytes of the memory allocation (including the offset to the first element). </td></tr>
 834   </table>
 835   </dd>
 836 </dl>
 837
 838 </div>
 839 </div>
 840 <a class="anchor" id="af3717e26c7309fda3be6e7e87f142eab"></a>
 841 <div class="memitem">
 842 <div class="memproto">
 843       <table class="memname">
 844         <tr>
 845           <td class="memname">void init </td>
 846           <td>(</td>
 847           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 848           <td class="paramname"><em>tensor_shape</em>, </td>
 849         </tr>
 850         <tr>
 851           <td class="paramkey"></td>
 852           <td></td>
 853           <td class="paramtype">size_t&#160;</td>
 854           <td class="paramname"><em>num_channels</em>, </td>
 855         </tr>
 856         <tr>
 857           <td class="paramkey"></td>
 858           <td></td>
 859           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 860           <td class="paramname"><em>data_type</em>, </td>
 861         </tr>
 862         <tr>
 863           <td class="paramkey"></td>
 864           <td></td>
 865           <td class="paramtype">size_t&#160;</td>
 866           <td class="paramname"><em>fixed_point_pos</em> = <code>0</code>&#160;</td>
 867         </tr>
 868         <tr>
 869           <td></td>
 870           <td>)</td>
 871           <td></td><td></td>
 872         </tr>
 873       </table>
 874 </div><div class="memdoc">
 875
 876 <p>Initialize the metadata structure with the given parameters. </p>
 877 <dl class="params"><dt>Parameters</dt><dd>
 878   <table class="params">
 879     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
 880     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
 881     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
 882     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_pos</td><td>(Optional) Fixed point position when the tensor data type is INT8, INT16 or INT32 (default = 0). If 0, calculations are performed in integer arithmetic. </td></tr>
 883   </table>
 884   </dd>
 885 </dl>
 886
 887 </div>
 888 </div>
 889 <a class="anchor" id="a7b21c13a1b353cfd16dafcff4e5f4eea"></a>
 890 <div class="memitem">
 891 <div class="memproto">
 892       <table class="memname">
 893         <tr>
 894           <td class="memname">void init </td>
 895           <td>(</td>
 896           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
 897           <td class="paramname"><em>tensor_shape</em>, </td>
 898         </tr>
 899         <tr>
 900           <td class="paramkey"></td>
 901           <td></td>
 902           <td class="paramtype">size_t&#160;</td>
 903           <td class="paramname"><em>num_channels</em>, </td>
 904         </tr>
 905         <tr>
 906           <td class="paramkey"></td>
 907           <td></td>
 908           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
 909           <td class="paramname"><em>data_type</em>, </td>
 910         </tr>
 911         <tr>
 912           <td class="paramkey"></td>
 913           <td></td>
 914           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &amp;&#160;</td>
 915           <td class="paramname"><em>strides_in_bytes</em>, </td>
 916         </tr>
 917         <tr>
 918           <td class="paramkey"></td>
 919           <td></td>
 920           <td class="paramtype">size_t&#160;</td>
 921           <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
 922         </tr>
 923         <tr>
 924           <td class="paramkey"></td>
 925           <td></td>
 926           <td class="paramtype">size_t&#160;</td>
 927           <td class="paramname"><em>total_size_in_bytes</em>, </td>
 928         </tr>
 929         <tr>
 930           <td class="paramkey"></td>
 931           <td></td>
 932           <td class="paramtype">size_t&#160;</td>
 933           <td class="paramname"><em>fixed_point_pos</em> = <code>0</code>&#160;</td>
 934         </tr>
 935         <tr>
 936           <td></td>
 937           <td>)</td>
 938           <td></td><td></td>
 939         </tr>
 940       </table>
 941 </div><div class="memdoc">
 942
 943 <p>Initialize the metadata structure with the given parameters. </p>
 944 <dl class="params"><dt>Parameters</dt><dd>
 945   <table class="params">
 946     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>Size for each dimension of the tensor in number of elements. </td></tr>
 947     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
 948     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
 949     <tr><td class="paramdir">[in]</td><td class="paramname">strides_in_bytes</td><td>Stride in bytes for accessing each dimension of the tensor. </td></tr>
 950     <tr><td class="paramdir">[in]</td><td class="paramname">offset_first_element_in_bytes</td><td>Offset in bytes from the beginning of memory allocation to access the first element. </td></tr>
 951     <tr><td class="paramdir">[in]</td><td class="paramname">total_size_in_bytes</td><td>Size in bytes of the memory allocation (including the offset to the first element). </td></tr>
 952     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_pos</td><td>(Optional) Fixed point position when the tensor data type is INT8, INT16 or INT32 (default = 0). If 0, calculations are performed in integer arithmetic. </td></tr>
 953   </table>
 954   </dd>
 955 </dl>
 956
 957 </div>
 958 </div>
 959 <a class="anchor" id="a4eaa68a1707f4ff3983c6dddd21794ea"></a>
 960 <div class="memitem">
 961 <div class="memproto">
 962       <table class="memname">
 963         <tr>
 964           <td class="memname">void init </td>
 965           <td>(</td>
 966           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
 967           <td class="paramname"><em>hog_info</em>, </td>
 968         </tr>
 969         <tr>
 970           <td class="paramkey"></td>
 971           <td></td>
 972           <td class="paramtype">unsigned int&#160;</td>
 973           <td class="paramname"><em>width</em>, </td>
 974         </tr>
 975         <tr>
 976           <td class="paramkey"></td>
 977           <td></td>
 978           <td class="paramtype">unsigned int&#160;</td>
 979           <td class="paramname"><em>height</em>&#160;</td>
 980         </tr>
 981         <tr>
 982           <td></td>
 983           <td>)</td>
 984           <td></td><td></td>
 985         </tr>
 986       </table>
 987 </div><div class="memdoc">
 988
 989 <p>Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata. </p>
 990 <dl class="params"><dt>Parameters</dt><dd>
 991   <table class="params">
 992     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
 993     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 994     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
 995   </table>
 996   </dd>
 997 </dl>
 998
 999 </div>
1000 </div>
1001 <a class="anchor" id="a4b7391b7025befbe44b743723feb4a9b"></a>
1002 <div class="memitem">
1003 <div class="memproto">
1004       <table class="memname">
1005         <tr>
1006           <td class="memname">size_t init_auto_padding </td>
1007           <td>(</td>
1008           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1009           <td class="paramname"><em>tensor_shape</em>, </td>
1010         </tr>
1011         <tr>
1012           <td class="paramkey"></td>
1013           <td></td>
1014           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1015           <td class="paramname"><em>format</em>&#160;</td>
1016         </tr>
1017         <tr>
1018           <td></td>
1019           <td>)</td>
1020           <td></td><td></td>
1021         </tr>
1022       </table>
1023 </div><div class="memdoc">
1024
1025 <p>Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated) </p>
1026 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
1027 <dl class="params"><dt>Parameters</dt><dd>
1028   <table class="params">
1029     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements </td></tr>
1030     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the image.</td></tr>
1031   </table>
1032   </dd>
1033 </dl>
1034 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1035
1036 </div>
1037 </div>
1038 <a class="anchor" id="ae37b83cdf38ffc8fa5e037faa7bcad52"></a>
1039 <div class="memitem">
1040 <div class="memproto">
1041       <table class="memname">
1042         <tr>
1043           <td class="memname">size_t init_auto_padding </td>
1044           <td>(</td>
1045           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &amp;&#160;</td>
1046           <td class="paramname"><em>tensor_shape</em>, </td>
1047         </tr>
1048         <tr>
1049           <td class="paramkey"></td>
1050           <td></td>
1051           <td class="paramtype">size_t&#160;</td>
1052           <td class="paramname"><em>num_channels</em>, </td>
1053         </tr>
1054         <tr>
1055           <td class="paramkey"></td>
1056           <td></td>
1057           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a>&#160;</td>
1058           <td class="paramname"><em>data_type</em>, </td>
1059         </tr>
1060         <tr>
1061           <td class="paramkey"></td>
1062           <td></td>
1063           <td class="paramtype">size_t&#160;</td>
1064           <td class="paramname"><em>fixed_point_pos</em> = <code>0</code>&#160;</td>
1065         </tr>
1066         <tr>
1067           <td></td>
1068           <td>)</td>
1069           <td></td><td></td>
1070         </tr>
1071       </table>
1072 </div><div class="memdoc">
1073
1074 <p>Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position. </p>
1075 <p>(Padding is automatically calculated)</p>
1076 <dl class="section note"><dt>Note</dt><dd>The padding used by this method is really conservative so that the tensor can be used for most functions.</dd></dl>
1077 <dl class="params"><dt>Parameters</dt><dd>
1078   <table class="params">
1079     <tr><td class="paramdir">[in]</td><td class="paramname">tensor_shape</td><td>It specifies the size for each dimension of the tensor in number of elements </td></tr>
1080     <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>It indicates the number of channels for each tensor element </td></tr>
1081     <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
1082     <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_pos</td><td>(Optional) It specifies the fixed point position when the tensor data type is INT8, INT16 or INT32. (Default = 0) If 0, calculations are performed in integer math</td></tr>
1083   </table>
1084   </dd>
1085 </dl>
1086 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1087
1088 </div>
1089 </div>
1090 <a class="anchor" id="a9a30265f100a459de985a9f3f91db76c"></a>
1091 <div class="memitem">
1092 <div class="memproto">
1093       <table class="memname">
1094         <tr>
1095           <td class="memname">size_t init_auto_padding </td>
1096           <td>(</td>
1097           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> &amp;&#160;</td>
1098           <td class="paramname"><em>hog_info</em>, </td>
1099         </tr>
1100         <tr>
1101           <td class="paramkey"></td>
1102           <td></td>
1103           <td class="paramtype">unsigned int&#160;</td>
1104           <td class="paramname"><em>width</em>, </td>
1105         </tr>
1106         <tr>
1107           <td class="paramkey"></td>
1108           <td></td>
1109           <td class="paramtype">unsigned int&#160;</td>
1110           <td class="paramname"><em>height</em>&#160;</td>
1111         </tr>
1112         <tr>
1113           <td></td>
1114           <td>)</td>
1115           <td></td><td></td>
1116         </tr>
1117       </table>
1118 </div><div class="memdoc">
1119
1120 <p>Initialize the metadata structure for the given <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata. </p>
1121 <dl class="section note"><dt>Note</dt><dd>init_auto_padding will be used for the tensor initialization.</dd></dl>
1122 <dl class="params"><dt>Parameters</dt><dd>
1123   <table class="params">
1124     <tr><td class="paramdir">[in]</td><td class="paramname">hog_info</td><td><a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a>'s metadata used to allocate normalized <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> space </td></tr>
1125     <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1126     <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor where the <a class="el" href="classarm__compute_1_1_h_o_g.xhtml" title="CPU implementation of HOG data-object. ">HOG</a> descriptor will be computed on </td></tr>
1127   </table>
1128   </dd>
1129 </dl>
1130
1131 </div>
1132 </div>
1133 <a class="anchor" id="aa29d70e3b3c82e0857a6be5280b70ee0"></a>
1134 <div class="memitem">
1135 <div class="memproto">
1136 <table class="mlabels">
1137   <tr>
1138   <td class="mlabels-left">
1139       <table class="memname">
1140         <tr>
1141           <td class="memname">bool is_resizable </td>
1142           <td>(</td>
1143           <td class="paramname"></td><td>)</td>
1144           <td> const</td>
1145         </tr>
1146       </table>
1147   </td>
1148   <td class="mlabels-right">
1149 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1150   </tr>
1151 </table>
1152 </div><div class="memdoc">
1153
1154 <p>Flag indicating whether the size of the tensor can be changed. </p>
1155 <dl class="section return"><dt>Returns</dt><dd>True if the tensor size can be changed. </dd></dl>
1156
1157 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00303">303</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1158
1159 <p>Referenced by <a class="el" href="_tensor_info_8h_source.xhtml#l00308">TensorInfo::set_is_resizable()</a>.</p>
1160 <div class="fragment"><div class="line"><a name="l00304"></a><span class="lineno">  304</span>&#160;    {</div><div class="line"><a name="l00305"></a><span class="lineno">  305</span>&#160;        <span class="keywordflow">return</span> _is_resizable;</div><div class="line"><a name="l00306"></a><span class="lineno">  306</span>&#160;    }</div></div><!-- fragment -->
1161 </div>
1162 </div>
1163 <a class="anchor" id="a330472af42b92ad18b93c06d5b510faa"></a>
1164 <div class="memitem">
1165 <div class="memproto">
1166 <table class="mlabels">
1167   <tr>
1168   <td class="mlabels-left">
1169       <table class="memname">
1170         <tr>
1171           <td class="memname">size_t num_channels </td>
1172           <td>(</td>
1173           <td class="paramname"></td><td>)</td>
1174           <td> const</td>
1175         </tr>
1176       </table>
1177   </td>
1178   <td class="mlabels-right">
1179 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1180   </tr>
1181 </table>
1182 </div><div class="memdoc">
1183
1184 <p>The number of channels for each tensor element. </p>
1185 <dl class="section return"><dt>Returns</dt><dd>The number of channels for each tensor element </dd></dl>
1186
1187 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00247">247</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1188
1189 <p>Referenced by <a class="el" href="_validate_8h_source.xhtml#l00259">arm_compute::error_on_data_type_channel_not_in()</a>.</p>
1190 <div class="fragment"><div class="line"><a name="l00248"></a><span class="lineno">  248</span>&#160;    {</div><div class="line"><a name="l00249"></a><span class="lineno">  249</span>&#160;        <span class="keywordflow">return</span> _num_channels;</div><div class="line"><a name="l00250"></a><span class="lineno">  250</span>&#160;    }</div></div><!-- fragment -->
1191 </div>
1192 </div>
1193 <a class="anchor" id="a38382dc1f04d28cab04d921b8324dc07"></a>
1194 <div class="memitem">
1195 <div class="memproto">
1196 <table class="mlabels">
1197   <tr>
1198   <td class="mlabels-left">
1199       <table class="memname">
1200         <tr>
1201           <td class="memname">size_t num_dimensions </td>
1202           <td>(</td>
1203           <td class="paramname"></td><td>)</td>
1204           <td> const</td>
1205         </tr>
1206       </table>
1207   </td>
1208   <td class="mlabels-right">
1209 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1210   </tr>
1211 </table>
1212 </div><div class="memdoc">
1213
1214 <p>The number of dimensions of the tensor (rank) </p>
1215 <dl class="section return"><dt>Returns</dt><dd>The number of dimensions of the tensor (rank) </dd></dl>
1216
1217 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00239">239</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1218
1219 <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00108">Dimensions&lt; T &gt;::num_dimensions()</a>.</p>
1220
1221 <p>Referenced by <a class="el" href="_helpers_8h_source.xhtml#l00376">arm_compute::compute_strides()</a>, and <a class="el" href="_window_8inl_source.xhtml#l00160">Window::use_tensor_dimensions()</a>.</p>
1222 <div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno">  240</span>&#160;    {</div><div class="line"><a name="l00241"></a><span class="lineno">  241</span>&#160;        <span class="keywordflow">return</span> _tensor_shape.<a class="code" href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">num_dimensions</a>();</div><div class="line"><a name="l00242"></a><span class="lineno">  242</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_dimensions_xhtml_a0f59f175e7682c7ed5f4ea30ef687834"><div class="ttname"><a href="classarm__compute_1_1_dimensions.xhtml#a0f59f175e7682c7ed5f4ea30ef687834">arm_compute::Dimensions::num_dimensions</a></div><div class="ttdeci">unsigned int num_dimensions() const </div><div class="ttdoc">Returns the effective dimensionality of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_dimensions_8h_source.xhtml#l00108">Dimensions.h:108</a></div></div>
1223 </div><!-- fragment -->
1224 </div>
1225 </div>
1226 <a class="anchor" id="aaf5cc084e0feafccc97492d688f4e2e2"></a>
1227 <div class="memitem">
1228 <div class="memproto">
1229       <table class="memname">
1230         <tr>
1231           <td class="memname">size_t offset_element_in_bytes </td>
1232           <td>(</td>
1233           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &amp;&#160;</td>
1234           <td class="paramname"><em>pos</em></td><td>)</td>
1235           <td> const</td>
1236         </tr>
1237       </table>
1238 </div><div class="memdoc">
1239
1240 <p>The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...) </p>
1241 <dl class="params"><dt>Parameters</dt><dd>
1242   <table class="params">
1243     <tr><td class="paramdir">[in]</td><td class="paramname">pos</td><td><a class="el" href="struct_vector.xhtml" title="Structure to hold Vector information. ">Vector</a> with the coordinates of the element to access. The size of this vector must be equal to the number of dimensions of the tensor</td></tr>
1244   </table>
1245   </dd>
1246 </dl>
1247 <dl class="section return"><dt>Returns</dt><dd>Offset in bytes from the beginning of the memory allocation to access the element (x, y, z, ...) </dd></dl>
1248
1249 <p>Referenced by <a class="el" href="_utils_8cpp_source.xhtml#l00099">test_helpers::draw_detection_rectangle()</a>, <a class="el" href="_tensor_info_8h_source.xhtml#l00207">TensorInfo::offset_first_element_in_bytes()</a>, and <a class="el" href="_i_tensor_8h_source.xhtml#l00063">ITensor::ptr_to_element()</a>.</p>
1250
1251 </div>
1252 </div>
1253 <a class="anchor" id="ad590b0e52b0574c9c2fce393ede1fa7a"></a>
1254 <div class="memitem">
1255 <div class="memproto">
1256 <table class="mlabels">
1257   <tr>
1258   <td class="mlabels-left">
1259       <table class="memname">
1260         <tr>
1261           <td class="memname">size_t offset_first_element_in_bytes </td>
1262           <td>(</td>
1263           <td class="paramname"></td><td>)</td>
1264           <td> const</td>
1265         </tr>
1266       </table>
1267   </td>
1268   <td class="mlabels-right">
1269 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1270   </tr>
1271 </table>
1272 </div><div class="memdoc">
1273
1274 <p>The offset from the beginning of the memory allocation to the first element of the tensor. </p>
1275 <p>This can be used to access efficiently elements in a 2D tensor</p>
1276 <dl class="section return"><dt>Returns</dt><dd>The offset in bytes to access the first element of the tensor. </dd></dl>
1277
1278 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00207">207</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1279
1280 <p>References <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaf5cc084e0feafccc97492d688f4e2e2">TensorInfo::offset_element_in_bytes()</a>.</p>
1281 <div class="fragment"><div class="line"><a name="l00208"></a><span class="lineno">  208</span>&#160;    {</div><div class="line"><a name="l00209"></a><span class="lineno">  209</span>&#160;        <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00210"></a><span class="lineno">  210</span>&#160;    }</div></div><!-- fragment -->
1282 </div>
1283 </div>
1284 <a class="anchor" id="adcf156ba30ff118c28690671e83ea06b"></a>
1285 <div class="memitem">
1286 <div class="memproto">
1287 <table class="mlabels">
1288   <tr>
1289   <td class="mlabels-left">
1290       <table class="memname">
1291         <tr>
1292           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>&amp; operator= </td>
1293           <td>(</td>
1294           <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&#160;</td>
1295           <td class="paramname"></td><td>)</td>
1296           <td></td>
1297         </tr>
1298       </table>
1299   </td>
1300   <td class="mlabels-right">
1301 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
1302   </tr>
1303 </table>
1304 </div><div class="memdoc">
1305
1306 <p>Allow instances of this class to be copied. </p>
1307
1308 </div>
1309 </div>
1310 <a class="anchor" id="a532c27f6bf3cd9275cb7fc9a0d0bbf6e"></a>
1311 <div class="memitem">
1312 <div class="memproto">
1313 <table class="mlabels">
1314   <tr>
1315   <td class="mlabels-left">
1316       <table class="memname">
1317         <tr>
1318           <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>&amp; operator= </td>
1319           <td>(</td>
1320           <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> &amp;&amp;&#160;</td>
1321           <td class="paramname"></td><td>)</td>
1322           <td></td>
1323         </tr>
1324       </table>
1325   </td>
1326   <td class="mlabels-right">
1327 <span class="mlabels"><span class="mlabel">default</span></span>  </td>
1328   </tr>
1329 </table>
1330 </div><div class="memdoc">
1331
1332 <p>Allow instances of this class to be moved. </p>
1333
1334 </div>
1335 </div>
1336 <a class="anchor" id="ad13a67d4dbc337c707a76401dc103ff3"></a>
1337 <div class="memitem">
1338 <div class="memproto">
1339 <table class="mlabels">
1340   <tr>
1341   <td class="mlabels-left">
1342       <table class="memname">
1343         <tr>
1344           <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding </td>
1345           <td>(</td>
1346           <td class="paramname"></td><td>)</td>
1347           <td> const</td>
1348         </tr>
1349       </table>
1350   </td>
1351   <td class="mlabels-right">
1352 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1353   </tr>
1354 </table>
1355 </div><div class="memdoc">
1356
1357 <p>Padding of tensor. </p>
1358 <dl class="section return"><dt>Returns</dt><dd>Padding. </dd></dl>
1359
1360 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00287">287</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1361 <div class="fragment"><div class="line"><a name="l00288"></a><span class="lineno">  288</span>&#160;    {</div><div class="line"><a name="l00289"></a><span class="lineno">  289</span>&#160;        <span class="keywordflow">return</span> _padding;</div><div class="line"><a name="l00290"></a><span class="lineno">  290</span>&#160;    }</div></div><!-- fragment -->
1362 </div>
1363 </div>
1364 <a class="anchor" id="a1f4481a2c496ef1d176f305c25f50202"></a>
1365 <div class="memitem">
1366 <div class="memproto">
1367       <table class="memname">
1368         <tr>
1369           <td class="memname">void set_format </td>
1370           <td>(</td>
1371           <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a>&#160;</td>
1372           <td class="paramname"><em>format</em></td><td>)</td>
1373           <td></td>
1374         </tr>
1375       </table>
1376 </div><div class="memdoc">
1377
1378 <p>Set the format of an already initialized tensor. </p>
1379 <dl class="section note"><dt>Note</dt><dd>The passed format must be compatible with the existing number of channels and data type of the tensor.</dd></dl>
1380 <dl class="params"><dt>Parameters</dt><dd>
1381   <table class="params">
1382     <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single-plane format of the tensor. </td></tr>
1383   </table>
1384   </dd>
1385 </dl>
1386
1387 </div>
1388 </div>
1389 <a class="anchor" id="a951c1a7a29e99b39d59ee44111291c76"></a>
1390 <div class="memitem">
1391 <div class="memproto">
1392 <table class="mlabels">
1393   <tr>
1394   <td class="mlabels-left">
1395       <table class="memname">
1396         <tr>
1397           <td class="memname">void set_is_resizable </td>
1398           <td>(</td>
1399           <td class="paramtype">bool&#160;</td>
1400           <td class="paramname"><em>is_resizable</em></td><td>)</td>
1401           <td></td>
1402         </tr>
1403       </table>
1404   </td>
1405   <td class="mlabels-right">
1406 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1407   </tr>
1408 </table>
1409 </div><div class="memdoc">
1410
1411 <p>Set the flag whether the tensor size can be changed. </p>
1412
1413 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00308">308</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1414
1415 <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00303">TensorInfo::is_resizable()</a>.</p>
1416 <div class="fragment"><div class="line"><a name="l00309"></a><span class="lineno">  309</span>&#160;    {</div><div class="line"><a name="l00310"></a><span class="lineno">  310</span>&#160;        _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aa29d70e3b3c82e0857a6be5280b70ee0">is_resizable</a>;</div><div class="line"><a name="l00311"></a><span class="lineno">  311</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aa29d70e3b3c82e0857a6be5280b70ee0"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aa29d70e3b3c82e0857a6be5280b70ee0">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const </div><div class="ttdoc">Flag indicating whether the size of the tensor can be changed. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00303">TensorInfo.h:303</a></div></div>
1417 </div><!-- fragment -->
1418 </div>
1419 </div>
1420 <a class="anchor" id="a6922a99119f324abe0e16c9678f71922"></a>
1421 <div class="memitem">
1422 <div class="memproto">
1423 <table class="mlabels">
1424   <tr>
1425   <td class="mlabels-left">
1426       <table class="memname">
1427         <tr>
1428           <td class="memname">void set_valid_region </td>
1429           <td>(</td>
1430           <td class="paramtype"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a>&#160;</td>
1431           <td class="paramname"><em>valid_region</em></td><td>)</td>
1432           <td></td>
1433         </tr>
1434       </table>
1435   </td>
1436   <td class="mlabels-right">
1437 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1438   </tr>
1439 </table>
1440 </div><div class="memdoc">
1441
1442 <p>Set the valid region of the tensor. </p>
1443
1444 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00321">321</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1445 <div class="fragment"><div class="line"><a name="l00322"></a><span class="lineno">  322</span>&#160;    {</div><div class="line"><a name="l00323"></a><span class="lineno">  323</span>&#160;        _valid_region = std::move(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#ac437ef0718add962a4059fb3b3084c34">valid_region</a>);</div><div class="line"><a name="l00324"></a><span class="lineno">  324</span>&#160;    }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_ac437ef0718add962a4059fb3b3084c34"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#ac437ef0718add962a4059fb3b3084c34">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const </div><div class="ttdoc">Valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00316">TensorInfo.h:316</a></div></div>
1446 </div><!-- fragment -->
1447 </div>
1448 </div>
1449 <a class="anchor" id="a6b157a0e1ca25ef4d682d3bedfeae5f6"></a>
1450 <div class="memitem">
1451 <div class="memproto">
1452 <table class="mlabels">
1453   <tr>
1454   <td class="mlabels-left">
1455       <table class="memname">
1456         <tr>
1457           <td class="memname">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a>&amp; strides_in_bytes </td>
1458           <td>(</td>
1459           <td class="paramname"></td><td>)</td>
1460           <td> const</td>
1461         </tr>
1462       </table>
1463   </td>
1464   <td class="mlabels-right">
1465 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1466   </tr>
1467 </table>
1468 </div><div class="memdoc">
1469
1470 <p>The strides in bytes for accessing each dimension of the tensor. </p>
1471 <dl class="section return"><dt>Returns</dt><dd><a class="el" href="classarm__compute_1_1_strides.xhtml" title="Strides of an item in bytes. ">Strides</a> in bytes for each tensor dimension </dd></dl>
1472
1473 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00198">198</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1474
1475 <p>Referenced by <a class="el" href="_n_e_color_convert_helper_8inl_source.xhtml#l00445">arm_compute::colorconvert_iyuv_to_rgb()</a>, <a class="el" href="_n_e_color_convert_helper_8inl_source.xhtml#l00389">arm_compute::colorconvert_nv12_to_rgb()</a>, and <a class="el" href="_utils_8cpp_source.xhtml#l00099">test_helpers::draw_detection_rectangle()</a>.</p>
1476 <div class="fragment"><div class="line"><a name="l00199"></a><span class="lineno">  199</span>&#160;    {</div><div class="line"><a name="l00200"></a><span class="lineno">  200</span>&#160;        <span class="keywordflow">return</span> _strides_in_bytes;</div><div class="line"><a name="l00201"></a><span class="lineno">  201</span>&#160;    }</div></div><!-- fragment -->
1477 </div>
1478 </div>
1479 <a class="anchor" id="af3374fa8fcc6d226dc2b82317ab4d079"></a>
1480 <div class="memitem">
1481 <div class="memproto">
1482 <table class="mlabels">
1483   <tr>
1484   <td class="mlabels-left">
1485       <table class="memname">
1486         <tr>
1487           <td class="memname">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>&amp; tensor_shape </td>
1488           <td>(</td>
1489           <td class="paramname"></td><td>)</td>
1490           <td> const</td>
1491         </tr>
1492       </table>
1493   </td>
1494   <td class="mlabels-right">
1495 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1496   </tr>
1497 </table>
1498 </div><div class="memdoc">
1499
1500 <p>Size for each dimension of the tensor. </p>
1501 <dl class="section return"><dt>Returns</dt><dd>A vector with the size for each dimension of the tensor </dd></dl>
1502
1503 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00255">255</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1504
1505 <p>Referenced by <a class="el" href="_helpers_8h_source.xhtml#l00376">arm_compute::compute_strides()</a>.</p>
1506 <div class="fragment"><div class="line"><a name="l00256"></a><span class="lineno">  256</span>&#160;    {</div><div class="line"><a name="l00257"></a><span class="lineno">  257</span>&#160;        <span class="keywordflow">return</span> _tensor_shape;</div><div class="line"><a name="l00258"></a><span class="lineno">  258</span>&#160;    }</div></div><!-- fragment -->
1507 </div>
1508 </div>
1509 <a class="anchor" id="a4eaec01ba2c12093db609d1034ad0bc1"></a>
1510 <div class="memitem">
1511 <div class="memproto">
1512 <table class="mlabels">
1513   <tr>
1514   <td class="mlabels-left">
1515       <table class="memname">
1516         <tr>
1517           <td class="memname">size_t total_size </td>
1518           <td>(</td>
1519           <td class="paramname"></td><td>)</td>
1520           <td> const</td>
1521         </tr>
1522       </table>
1523   </td>
1524   <td class="mlabels-right">
1525 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1526   </tr>
1527 </table>
1528 </div><div class="memdoc">
1529
1530 <p>Returns the total size of the tensor in bytes. </p>
1531 <dl class="section return"><dt>Returns</dt><dd>Total size of the tensor in bytes. </dd></dl>
1532
1533 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00279">279</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1534 <div class="fragment"><div class="line"><a name="l00280"></a><span class="lineno">  280</span>&#160;    {</div><div class="line"><a name="l00281"></a><span class="lineno">  281</span>&#160;        <span class="keywordflow">return</span> _total_size;</div><div class="line"><a name="l00282"></a><span class="lineno">  282</span>&#160;    }</div></div><!-- fragment -->
1535 </div>
1536 </div>
1537 <a class="anchor" id="ac437ef0718add962a4059fb3b3084c34"></a>
1538 <div class="memitem">
1539 <div class="memproto">
1540 <table class="mlabels">
1541   <tr>
1542   <td class="mlabels-left">
1543       <table class="memname">
1544         <tr>
1545           <td class="memname"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region </td>
1546           <td>(</td>
1547           <td class="paramname"></td><td>)</td>
1548           <td> const</td>
1549         </tr>
1550       </table>
1551   </td>
1552   <td class="mlabels-right">
1553 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
1554   </tr>
1555 </table>
1556 </div><div class="memdoc">
1557
1558 <p>Valid region of the tensor. </p>
1559 <p>All elements in the valid region have defined values, i.e. are not undefined.</p>
1560 <dl class="section return"><dt>Returns</dt><dd>The valid region. </dd></dl>
1561
1562 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00316">316</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1563 <div class="fragment"><div class="line"><a name="l00317"></a><span class="lineno">  317</span>&#160;    {</div><div class="line"><a name="l00318"></a><span class="lineno">  318</span>&#160;        <span class="keywordflow">return</span> _valid_region;</div><div class="line"><a name="l00319"></a><span class="lineno">  319</span>&#160;    }</div></div><!-- fragment -->
1564 </div>
1565 </div>
1566 <hr/>The documentation for this class was generated from the following file:<ul>
1567 <li>arm_compute/core/<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a></li>
1568 </ul>
1569 </div><!-- contents -->
1570 </div><!-- doc-content -->
1571 <!-- start footer part -->
1572 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
1573   <ul>
1574     <li class="navelem"><a class="el" href="namespacearm__compute.xhtml">arm_compute</a></li><li class="navelem"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a></li>
1575     <li class="footer">Generated on Wed Apr 12 2017 14:26:06 for ARM Compute Library by
1576     <a href="http://www.doxygen.org/index.html">
1577     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>
1578   </ul>
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