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9 <title>Compute Library: TensorInfo Class Reference</title>
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43  <span id="projectnumber">18.02</span>
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118 <div class="summary">
119 <a href="#pub-methods">Public Member Functions</a> </div>
120 <div class="headertitle">
121 <div class="title">TensorInfo Class Reference<span class="mlabels"><span class="mlabel">final</span></span></div> </div>
123 <div class="contents">
125 <p>Store the tensor's metadata.
126 <a href="classarm__compute_1_1_tensor_info.xhtml#details">More...</a></p>
128 <p><code>#include <<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>></code></p>
129 <div class="dynheader">
130 Collaboration diagram for TensorInfo:</div>
131 <div class="dyncontent">
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134 <center><span class="legend">[<a target="top" href="graph_legend.xhtml">legend</a>]</span></center></div>
135 <table class="memberdecls">
136 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a>
137 Public Member Functions</h2></td></tr>
138 <tr class="memitem:a21c2ae9fa438faf42669dadda628080c"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a21c2ae9fa438faf42669dadda628080c">TensorInfo</a> ()</td></tr>
139 <tr class="memdesc:a21c2ae9fa438faf42669dadda628080c"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a21c2ae9fa438faf42669dadda628080c">More...</a><br /></td></tr>
140 <tr class="separator:a21c2ae9fa438faf42669dadda628080c"><td class="memSeparator" colspan="2"> </td></tr>
141 <tr class="memitem:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4eb5913c3ce5fe2bcbaafd8c9224d384">~TensorInfo</a> ()=default</td></tr>
142 <tr class="memdesc:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a4eb5913c3ce5fe2bcbaafd8c9224d384">More...</a><br /></td></tr>
143 <tr class="separator:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="memSeparator" colspan="2"> </td></tr>
144 <tr class="memitem:a57911f186d22f552382d39010c09097d"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a57911f186d22f552382d39010c09097d">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> &info)</td></tr>
145 <tr class="memdesc:a57911f186d22f552382d39010c09097d"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be copy constructed. <a href="#a57911f186d22f552382d39010c09097d">More...</a><br /></td></tr>
146 <tr class="separator:a57911f186d22f552382d39010c09097d"><td class="memSeparator" colspan="2"> </td></tr>
147 <tr class="memitem:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memItemLeft" align="right" valign="top"> </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> &)=default</td></tr>
148 <tr class="memdesc:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be copy constructed. <a href="#a494e9aa78ff5dde1788e0f9a8ba2213a">More...</a><br /></td></tr>
149 <tr class="separator:a494e9aa78ff5dde1788e0f9a8ba2213a"><td class="memSeparator" colspan="2"> </td></tr>
150 <tr class="memitem:adcf156ba30ff118c28690671e83ea06b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </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> &)=default</td></tr>
151 <tr class="memdesc:adcf156ba30ff118c28690671e83ea06b"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be copied. <a href="#adcf156ba30ff118c28690671e83ea06b">More...</a><br /></td></tr>
152 <tr class="separator:adcf156ba30ff118c28690671e83ea06b"><td class="memSeparator" colspan="2"> </td></tr>
153 <tr class="memitem:a134dfebc14c0e971f8df850846764f8e"><td class="memItemLeft" align="right" valign="top"> </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> &&)=default</td></tr>
154 <tr class="memdesc:a134dfebc14c0e971f8df850846764f8e"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be move constructed. <a href="#a134dfebc14c0e971f8df850846764f8e">More...</a><br /></td></tr>
155 <tr class="separator:a134dfebc14c0e971f8df850846764f8e"><td class="memSeparator" colspan="2"> </td></tr>
156 <tr class="memitem:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </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> &&)=default</td></tr>
157 <tr class="memdesc:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="mdescLeft"> </td><td class="mdescRight">Allow instances of this class to be moved. <a href="#a532c27f6bf3cd9275cb7fc9a0d0bbf6e">More...</a><br /></td></tr>
158 <tr class="separator:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memSeparator" colspan="2"> </td></tr>
159 <tr class="memitem:a6762d60a00d7d09087ea5cb41d4392a8"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6762d60a00d7d09087ea5cb41d4392a8">TensorInfo</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
160 <tr class="memdesc:a6762d60a00d7d09087ea5cb41d4392a8"><td class="mdescLeft"> </td><td class="mdescRight">Construct a tensor info with a format. <a href="#a6762d60a00d7d09087ea5cb41d4392a8">More...</a><br /></td></tr>
161 <tr class="separator:a6762d60a00d7d09087ea5cb41d4392a8"><td class="memSeparator" colspan="2"> </td></tr>
162 <tr class="memitem:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memItemLeft" align="right" valign="top"> </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#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
163 <tr class="memdesc:ac307dc31ce68e3cf1273ffbc86e57646"><td class="mdescLeft"> </td><td class="mdescRight">2D tensor constructor <a href="#ac307dc31ce68e3cf1273ffbc86e57646">More...</a><br /></td></tr>
164 <tr class="separator:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memSeparator" colspan="2"> </td></tr>
165 <tr class="memitem:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memItemLeft" align="right" valign="top"> </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> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
166 <tr class="memdesc:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a9fa5acc4d8fd911b9b2fece99d3d5a8d">More...</a><br /></td></tr>
167 <tr class="separator:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memSeparator" colspan="2"> </td></tr>
168 <tr class="memitem:a548b5b5c72f04c581933670098a1050f"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a548b5b5c72f04c581933670098a1050f">TensorInfo</a> (size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
169 <tr class="memdesc:a548b5b5c72f04c581933670098a1050f"><td class="mdescLeft"> </td><td class="mdescRight">Construct a tensor info with a data type and number of channels. <a href="#a548b5b5c72f04c581933670098a1050f">More...</a><br /></td></tr>
170 <tr class="separator:a548b5b5c72f04c581933670098a1050f"><td class="memSeparator" colspan="2"> </td></tr>
171 <tr class="memitem:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a95aaadcca549fc310c8e6dddb2ab78d7">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
172 <tr class="memdesc:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a95aaadcca549fc310c8e6dddb2ab78d7">More...</a><br /></td></tr>
173 <tr class="separator:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="memSeparator" colspan="2"> </td></tr>
174 <tr class="memitem:a3017dc3990baec97aa09599b82c63b1b"><td class="memItemLeft" align="right" valign="top"> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3017dc3990baec97aa09599b82c63b1b">TensorInfo</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>)</td></tr>
175 <tr class="memdesc:a3017dc3990baec97aa09599b82c63b1b"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a3017dc3990baec97aa09599b82c63b1b">More...</a><br /></td></tr>
176 <tr class="separator:a3017dc3990baec97aa09599b82c63b1b"><td class="memSeparator" colspan="2"> </td></tr>
177 <tr class="memitem:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memItemLeft" align="right" valign="top"> </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> &hog_info, unsigned int width, unsigned int height)</td></tr>
178 <tr class="memdesc:ad3e249a7d8f329aa470d6903c9e415fe"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#ad3e249a7d8f329aa470d6903c9e415fe">More...</a><br /></td></tr>
179 <tr class="separator:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memSeparator" colspan="2"> </td></tr>
180 <tr class="memitem:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad6b64f33be1e66dcf7612483ffb8fd63">init</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
181 <tr class="memdesc:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the tensor info with just a format. <a href="#ad6b64f33be1e66dcf7612483ffb8fd63">More...</a><br /></td></tr>
182 <tr class="separator:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="memSeparator" colspan="2"> </td></tr>
183 <tr class="memitem:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memItemLeft" align="right" valign="top">void </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> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
184 <tr class="memdesc:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the metadata structure with the given parameters. <a href="#a0ae7d318c02e56a3daa9e5e4f9dab117">More...</a><br /></td></tr>
185 <tr class="separator:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memSeparator" colspan="2"> </td></tr>
186 <tr class="memitem:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memItemLeft" align="right" valign="top">void </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> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, size_t total_size_in_bytes)</td></tr>
187 <tr class="memdesc:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the metadata structure with the given parameters. <a href="#ad4b6171ddcf854de5d1226cd4d0b0439">More...</a><br /></td></tr>
188 <tr class="separator:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memSeparator" colspan="2"> </td></tr>
189 <tr class="memitem:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa4d75a4cba474685a8a6fa2ea97b2505">init</a> (size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
190 <tr class="memdesc:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the tensor info with just a format. <a href="#aa4d75a4cba474685a8a6fa2ea97b2505">More...</a><br /></td></tr>
191 <tr class="separator:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="memSeparator" colspan="2"> </td></tr>
192 <tr class="memitem:ad535a8a10fae9fca925ae45c7931b9d6"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad535a8a10fae9fca925ae45c7931b9d6">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
193 <tr class="memdesc:ad535a8a10fae9fca925ae45c7931b9d6"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the metadata structure with the given parameters. <a href="#ad535a8a10fae9fca925ae45c7931b9d6">More...</a><br /></td></tr>
194 <tr class="separator:ad535a8a10fae9fca925ae45c7931b9d6"><td class="memSeparator" colspan="2"> </td></tr>
195 <tr class="memitem:ab12220b6863064c5dd4742fd0f3f0080"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab12220b6863064c5dd4742fd0f3f0080">init</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a>, size_t total_size_in_bytes, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
196 <tr class="memdesc:ab12220b6863064c5dd4742fd0f3f0080"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the metadata structure with the given parameters. <a href="#ab12220b6863064c5dd4742fd0f3f0080">More...</a><br /></td></tr>
197 <tr class="separator:ab12220b6863064c5dd4742fd0f3f0080"><td class="memSeparator" colspan="2"> </td></tr>
198 <tr class="memitem:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memItemLeft" align="right" valign="top">void </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> &hog_info, unsigned int width, unsigned int height)</td></tr>
199 <tr class="memdesc:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="mdescLeft"> </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>
200 <tr class="separator:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memSeparator" colspan="2"> </td></tr>
201 <tr class="memitem:a4b7391b7025befbe44b743723feb4a9b"><td class="memItemLeft" align="right" valign="top">size_t </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> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, <a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>)</td></tr>
202 <tr class="memdesc:a4b7391b7025befbe44b743723feb4a9b"><td class="mdescLeft"> </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>
203 <tr class="separator:a4b7391b7025befbe44b743723feb4a9b"><td class="memSeparator" colspan="2"> </td></tr>
204 <tr class="memitem:a316bb82020031b46ad452a7ad0d4b461"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a316bb82020031b46ad452a7ad0d4b461">init_auto_padding</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a>, size_t <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>, <a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>, int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>=0)</td></tr>
205 <tr class="memdesc:a316bb82020031b46ad452a7ad0d4b461"><td class="mdescLeft"> </td><td class="mdescRight">Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position. <a href="#a316bb82020031b46ad452a7ad0d4b461">More...</a><br /></td></tr>
206 <tr class="separator:a316bb82020031b46ad452a7ad0d4b461"><td class="memSeparator" colspan="2"> </td></tr>
207 <tr class="memitem:a9a30265f100a459de985a9f3f91db76c"><td class="memItemLeft" align="right" valign="top">size_t </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> &hog_info, unsigned int width, unsigned int height)</td></tr>
208 <tr class="memdesc:a9a30265f100a459de985a9f3f91db76c"><td class="mdescLeft"> </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>
209 <tr class="separator:a9a30265f100a459de985a9f3f91db76c"><td class="memSeparator" colspan="2"> </td></tr>
210 <tr class="memitem:a4c066d42d665fafb8cfe80b99411e4fb"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> > </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a4c066d42d665fafb8cfe80b99411e4fb">clone</a> () const override</td></tr>
211 <tr class="memdesc:a4c066d42d665fafb8cfe80b99411e4fb"><td class="mdescLeft"> </td><td class="mdescRight">Provide a clone of the current object of class T. <a href="#a4c066d42d665fafb8cfe80b99411e4fb">More...</a><br /></td></tr>
212 <tr class="separator:a4c066d42d665fafb8cfe80b99411e4fb"><td class="memSeparator" colspan="2"> </td></tr>
213 <tr class="memitem:a613528bd0feb15ee8d6df06cbdb629f8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a613528bd0feb15ee8d6df06cbdb629f8">set_data_type</a> (<a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a>) override</td></tr>
214 <tr class="memdesc:a613528bd0feb15ee8d6df06cbdb629f8"><td class="mdescLeft"> </td><td class="mdescRight">Set the data type to the specified value. <a href="#a613528bd0feb15ee8d6df06cbdb629f8">More...</a><br /></td></tr>
215 <tr class="separator:a613528bd0feb15ee8d6df06cbdb629f8"><td class="memSeparator" colspan="2"> </td></tr>
216 <tr class="memitem:a5b0a9fd674f8748506b6944c030bc47e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5b0a9fd674f8748506b6944c030bc47e">set_num_channels</a> (int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>) override</td></tr>
217 <tr class="memdesc:a5b0a9fd674f8748506b6944c030bc47e"><td class="mdescLeft"> </td><td class="mdescRight">Set the number of channels to the specified value. <a href="#a5b0a9fd674f8748506b6944c030bc47e">More...</a><br /></td></tr>
218 <tr class="separator:a5b0a9fd674f8748506b6944c030bc47e"><td class="memSeparator" colspan="2"> </td></tr>
219 <tr class="memitem:af501bc12f51874e786b0f28016a99ff7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af501bc12f51874e786b0f28016a99ff7">set_format</a> (<a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a>) override</td></tr>
220 <tr class="memdesc:af501bc12f51874e786b0f28016a99ff7"><td class="mdescLeft"> </td><td class="mdescRight">Set the format of an already initialized tensor. <a href="#af501bc12f51874e786b0f28016a99ff7">More...</a><br /></td></tr>
221 <tr class="separator:af501bc12f51874e786b0f28016a99ff7"><td class="memSeparator" colspan="2"> </td></tr>
222 <tr class="memitem:a7b6610e6100c67d39b712df6f4f80dcf"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a7b6610e6100c67d39b712df6f4f80dcf">set_tensor_shape</a> (const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> &shape) override</td></tr>
223 <tr class="memdesc:a7b6610e6100c67d39b712df6f4f80dcf"><td class="mdescLeft"> </td><td class="mdescRight">Set the shape of an already initialized tensor. <a href="#a7b6610e6100c67d39b712df6f4f80dcf">More...</a><br /></td></tr>
224 <tr class="separator:a7b6610e6100c67d39b712df6f4f80dcf"><td class="memSeparator" colspan="2"> </td></tr>
225 <tr class="memitem:a2732b9eab657cad69807adb815b97c9f"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a2732b9eab657cad69807adb815b97c9f">set_fixed_point_position</a> (int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a>) override</td></tr>
226 <tr class="memdesc:a2732b9eab657cad69807adb815b97c9f"><td class="mdescLeft"> </td><td class="mdescRight">Set the fixed point position to the specified value. <a href="#a2732b9eab657cad69807adb815b97c9f">More...</a><br /></td></tr>
227 <tr class="separator:a2732b9eab657cad69807adb815b97c9f"><td class="memSeparator" colspan="2"> </td></tr>
228 <tr class="memitem:acda9036ad24c455f67f2fea388a0ae13"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#acda9036ad24c455f67f2fea388a0ae13">set_quantization_info</a> (const <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a>) override</td></tr>
229 <tr class="memdesc:acda9036ad24c455f67f2fea388a0ae13"><td class="mdescLeft"> </td><td class="mdescRight">Set the quantization settings (scale and offset) of the tensor. <a href="#acda9036ad24c455f67f2fea388a0ae13">More...</a><br /></td></tr>
230 <tr class="separator:acda9036ad24c455f67f2fea388a0ae13"><td class="memSeparator" colspan="2"> </td></tr>
231 <tr class="memitem:ad29c039b6f3c4534928ed99aa9f53027"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ad29c039b6f3c4534928ed99aa9f53027">reset_padding</a> () override</td></tr>
232 <tr class="memdesc:ad29c039b6f3c4534928ed99aa9f53027"><td class="mdescLeft"> </td><td class="mdescRight">Resets the padding settings of the tensor. <a href="#ad29c039b6f3c4534928ed99aa9f53027">More...</a><br /></td></tr>
233 <tr class="separator:ad29c039b6f3c4534928ed99aa9f53027"><td class="memSeparator" colspan="2"> </td></tr>
234 <tr class="memitem:a907f837b924945ad1981c8fe8eca61e4"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">auto_padding</a> () override</td></tr>
235 <tr class="memdesc:a907f837b924945ad1981c8fe8eca61e4"><td class="mdescLeft"> </td><td class="mdescRight">Update the offset to the first element and the strides to automatically computed values. <a href="#a907f837b924945ad1981c8fe8eca61e4">More...</a><br /></td></tr>
236 <tr class="separator:a907f837b924945ad1981c8fe8eca61e4"><td class="memSeparator" colspan="2"> </td></tr>
237 <tr class="memitem:af53d8203ecc37896ca4579d1ee3fdffc"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af53d8203ecc37896ca4579d1ee3fdffc">extend_padding</a> (const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a>) override</td></tr>
238 <tr class="memdesc:af53d8203ecc37896ca4579d1ee3fdffc"><td class="mdescLeft"> </td><td class="mdescRight">Update the offset to the first element, the strides and the total size. <a href="#af53d8203ecc37896ca4579d1ee3fdffc">More...</a><br /></td></tr>
239 <tr class="separator:af53d8203ecc37896ca4579d1ee3fdffc"><td class="memSeparator" colspan="2"> </td></tr>
240 <tr class="memitem:a8813441b655b97c00139c6a5a6390e97"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a8813441b655b97c00139c6a5a6390e97">dimension</a> (size_t index) const override</td></tr>
241 <tr class="memdesc:a8813441b655b97c00139c6a5a6390e97"><td class="mdescLeft"> </td><td class="mdescRight">Return the size of the requested dimension. <a href="#a8813441b655b97c00139c6a5a6390e97">More...</a><br /></td></tr>
242 <tr class="separator:a8813441b655b97c00139c6a5a6390e97"><td class="memSeparator" colspan="2"> </td></tr>
243 <tr class="memitem:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a5f1ca9d674346287cae57a6c5b5c24ec">strides_in_bytes</a> () const override</td></tr>
244 <tr class="memdesc:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="mdescLeft"> </td><td class="mdescRight">The strides in bytes for accessing each dimension of the tensor. <a href="#a5f1ca9d674346287cae57a6c5b5c24ec">More...</a><br /></td></tr>
245 <tr class="separator:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="memSeparator" colspan="2"> </td></tr>
246 <tr class="memitem:ab54246abe670b06f5624add7e7022904"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ab54246abe670b06f5624add7e7022904">offset_first_element_in_bytes</a> () const override</td></tr>
247 <tr class="memdesc:ab54246abe670b06f5624add7e7022904"><td class="mdescLeft"> </td><td class="mdescRight">The offset from the beginning of the memory allocation to the first element of the tensor. <a href="#ab54246abe670b06f5624add7e7022904">More...</a><br /></td></tr>
248 <tr class="separator:ab54246abe670b06f5624add7e7022904"><td class="memSeparator" colspan="2"> </td></tr>
249 <tr class="memitem:a147790358ccd40f61dcd618cd4edd688"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">offset_element_in_bytes</a> (const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> &pos) const override</td></tr>
250 <tr class="memdesc:a147790358ccd40f61dcd618cd4edd688"><td class="mdescLeft"> </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="#a147790358ccd40f61dcd618cd4edd688">More...</a><br /></td></tr>
251 <tr class="separator:a147790358ccd40f61dcd618cd4edd688"><td class="memSeparator" colspan="2"> </td></tr>
252 <tr class="memitem:a35ccf2eb0c18a15feab2db98b307b78b"><td class="memItemLeft" align="right" valign="top">int </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a35ccf2eb0c18a15feab2db98b307b78b">fixed_point_position</a> () const override</td></tr>
253 <tr class="memdesc:a35ccf2eb0c18a15feab2db98b307b78b"><td class="mdescLeft"> </td><td class="mdescRight">Fixed point position used when the tensor data type is QS8 or QS16. <a href="#a35ccf2eb0c18a15feab2db98b307b78b">More...</a><br /></td></tr>
254 <tr class="separator:a35ccf2eb0c18a15feab2db98b307b78b"><td class="memSeparator" colspan="2"> </td></tr>
255 <tr class="memitem:a62b67b578f684c4d516843c9dea86a23"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a62b67b578f684c4d516843c9dea86a23">element_size</a> () const override</td></tr>
256 <tr class="memdesc:a62b67b578f684c4d516843c9dea86a23"><td class="mdescLeft"> </td><td class="mdescRight">Element size in bytes calculated as data_size() * <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c" title="The number of channels for each tensor element. ">num_channels()</a> <a href="#a62b67b578f684c4d516843c9dea86a23">More...</a><br /></td></tr>
257 <tr class="separator:a62b67b578f684c4d516843c9dea86a23"><td class="memSeparator" colspan="2"> </td></tr>
258 <tr class="memitem:a13622133d9b41900a6a3e8f89e59a78b"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a13622133d9b41900a6a3e8f89e59a78b">num_dimensions</a> () const override</td></tr>
259 <tr class="memdesc:a13622133d9b41900a6a3e8f89e59a78b"><td class="mdescLeft"> </td><td class="mdescRight">The number of dimensions of the tensor (rank) <a href="#a13622133d9b41900a6a3e8f89e59a78b">More...</a><br /></td></tr>
260 <tr class="separator:a13622133d9b41900a6a3e8f89e59a78b"><td class="memSeparator" colspan="2"> </td></tr>
261 <tr class="memitem:a6f13b974eeb528acde66de8d9b3fd95c"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a> () const override</td></tr>
262 <tr class="memdesc:a6f13b974eeb528acde66de8d9b3fd95c"><td class="mdescLeft"> </td><td class="mdescRight">The number of channels for each tensor element. <a href="#a6f13b974eeb528acde66de8d9b3fd95c">More...</a><br /></td></tr>
263 <tr class="separator:a6f13b974eeb528acde66de8d9b3fd95c"><td class="memSeparator" colspan="2"> </td></tr>
264 <tr class="memitem:a269b19ce3f357ac65f41f9951906e38e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a269b19ce3f357ac65f41f9951906e38e">tensor_shape</a> () const override</td></tr>
265 <tr class="memdesc:a269b19ce3f357ac65f41f9951906e38e"><td class="mdescLeft"> </td><td class="mdescRight">Size for each dimension of the tensor. <a href="#a269b19ce3f357ac65f41f9951906e38e">More...</a><br /></td></tr>
266 <tr class="separator:a269b19ce3f357ac65f41f9951906e38e"><td class="memSeparator" colspan="2"> </td></tr>
267 <tr class="memitem:a9a3e72153aeb3ed212e9c3698774e881"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a9a3e72153aeb3ed212e9c3698774e881">data_type</a> () const override</td></tr>
268 <tr class="memdesc:a9a3e72153aeb3ed212e9c3698774e881"><td class="mdescLeft"> </td><td class="mdescRight">Data type used for each element of the tensor. <a href="#a9a3e72153aeb3ed212e9c3698774e881">More...</a><br /></td></tr>
269 <tr class="separator:a9a3e72153aeb3ed212e9c3698774e881"><td class="memSeparator" colspan="2"> </td></tr>
270 <tr class="memitem:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac4b36cc1e56b0b7e579bb4b7196490db">format</a> () const override</td></tr>
271 <tr class="memdesc:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="mdescLeft"> </td><td class="mdescRight">Colour format of the image. <a href="#ac4b36cc1e56b0b7e579bb4b7196490db">More...</a><br /></td></tr>
272 <tr class="separator:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="memSeparator" colspan="2"> </td></tr>
273 <tr class="memitem:af398466b602a02b42d8df19fb66a6c60"><td class="memItemLeft" align="right" valign="top">size_t </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#af398466b602a02b42d8df19fb66a6c60">total_size</a> () const override</td></tr>
274 <tr class="memdesc:af398466b602a02b42d8df19fb66a6c60"><td class="mdescLeft"> </td><td class="mdescRight">Returns the total size of the tensor in bytes. <a href="#af398466b602a02b42d8df19fb66a6c60">More...</a><br /></td></tr>
275 <tr class="separator:af398466b602a02b42d8df19fb66a6c60"><td class="memSeparator" colspan="2"> </td></tr>
276 <tr class="memitem:a79e20eacb1e963e24a21ebd7369effd7"><td class="memItemLeft" align="right" valign="top"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a79e20eacb1e963e24a21ebd7369effd7">padding</a> () const override</td></tr>
277 <tr class="memdesc:a79e20eacb1e963e24a21ebd7369effd7"><td class="mdescLeft"> </td><td class="mdescRight">Padding of tensor. <a href="#a79e20eacb1e963e24a21ebd7369effd7">More...</a><br /></td></tr>
278 <tr class="separator:a79e20eacb1e963e24a21ebd7369effd7"><td class="memSeparator" colspan="2"> </td></tr>
279 <tr class="memitem:aa2ca251f99c56767719e991a26371603"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aa2ca251f99c56767719e991a26371603">has_padding</a> () const override</td></tr>
280 <tr class="memdesc:aa2ca251f99c56767719e991a26371603"><td class="mdescLeft"> </td><td class="mdescRight">Checks if the tensor has been allocated with padding or not. <a href="#aa2ca251f99c56767719e991a26371603">More...</a><br /></td></tr>
281 <tr class="separator:aa2ca251f99c56767719e991a26371603"><td class="memSeparator" colspan="2"> </td></tr>
282 <tr class="memitem:aaee6555ace43b03173844b1a228a3fc3"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a> () const override</td></tr>
283 <tr class="memdesc:aaee6555ace43b03173844b1a228a3fc3"><td class="mdescLeft"> </td><td class="mdescRight">Flag indicating whether the size of the tensor can be changed. <a href="#aaee6555ace43b03173844b1a228a3fc3">More...</a><br /></td></tr>
284 <tr class="separator:aaee6555ace43b03173844b1a228a3fc3"><td class="memSeparator" colspan="2"> </td></tr>
285 <tr class="memitem:a78bf77b2d9b959259f77a32b9a412184"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a78bf77b2d9b959259f77a32b9a412184">set_is_resizable</a> (bool <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>) override</td></tr>
286 <tr class="memdesc:a78bf77b2d9b959259f77a32b9a412184"><td class="mdescLeft"> </td><td class="mdescRight">Set the flag whether the tensor size can be changed. <a href="#a78bf77b2d9b959259f77a32b9a412184">More...</a><br /></td></tr>
287 <tr class="separator:a78bf77b2d9b959259f77a32b9a412184"><td class="memSeparator" colspan="2"> </td></tr>
288 <tr class="memitem:a3c20d908342087484d883574d55dd482"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a> () const override</td></tr>
289 <tr class="memdesc:a3c20d908342087484d883574d55dd482"><td class="mdescLeft"> </td><td class="mdescRight">Valid region of the tensor. <a href="#a3c20d908342087484d883574d55dd482">More...</a><br /></td></tr>
290 <tr class="separator:a3c20d908342087484d883574d55dd482"><td class="memSeparator" colspan="2"> </td></tr>
291 <tr class="memitem:a43e45363267b6bce4bb6770febe9ce11"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a43e45363267b6bce4bb6770febe9ce11">set_valid_region</a> (const <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> &<a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>) override</td></tr>
292 <tr class="memdesc:a43e45363267b6bce4bb6770febe9ce11"><td class="mdescLeft"> </td><td class="mdescRight">Set the valid region of the tensor. <a href="#a43e45363267b6bce4bb6770febe9ce11">More...</a><br /></td></tr>
293 <tr class="separator:a43e45363267b6bce4bb6770febe9ce11"><td class="memSeparator" colspan="2"> </td></tr>
294 <tr class="memitem:ac74736e3863207232a23b7181c1d0f44"><td class="memItemLeft" align="right" valign="top"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml#ac74736e3863207232a23b7181c1d0f44">quantization_info</a> () const override</td></tr>
295 <tr class="memdesc:ac74736e3863207232a23b7181c1d0f44"><td class="mdescLeft"> </td><td class="mdescRight">Get the quantization settings (scale and offset) of the tensor. <a href="#ac74736e3863207232a23b7181c1d0f44">More...</a><br /></td></tr>
296 <tr class="separator:ac74736e3863207232a23b7181c1d0f44"><td class="memSeparator" colspan="2"> </td></tr>
297 <tr class="inherit_header pub_methods_classarm__compute_1_1_i_tensor_info"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1_i_tensor_info')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></td></tr>
298 <tr class="memitem:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad998b50febf68540277e121a9c670bfa">~ITensorInfo</a> ()=default</td></tr>
299 <tr class="memdesc:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="mdescLeft"> </td><td class="mdescRight">Default virtual destructor. <a href="#ad998b50febf68540277e121a9c670bfa">More...</a><br /></td></tr>
300 <tr class="separator:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="memSeparator" colspan="2"> </td></tr>
301 <tr class="inherit_header pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td colspan="2" onclick="javascript:toggleInherit('pub_methods_classarm__compute_1_1misc_1_1_i_cloneable')"><img src="closed.png" alt="-"/> Public Member Functions inherited from <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml">ICloneable< ITensorInfo ></a></td></tr>
302 <tr class="memitem:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="memItemLeft" align="right" valign="top">virtual </td><td class="memItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a711fa7a27557369760fc1fd236deb51c">~ICloneable</a> ()=default</td></tr>
303 <tr class="memdesc:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="mdescLeft"> </td><td class="mdescRight">Default virtual desctructor. <a href="#a711fa7a27557369760fc1fd236deb51c">More...</a><br /></td></tr>
304 <tr class="separator:a711fa7a27557369760fc1fd236deb51c inherit pub_methods_classarm__compute_1_1misc_1_1_i_cloneable"><td class="memSeparator" colspan="2"> </td></tr>
305 </table><table class="memberdecls">
306 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="inherited"></a>
307 Additional Inherited Members</h2></td></tr>
308 <tr class="inherit_header pub_static_methods_classarm__compute_1_1_i_tensor_info"><td colspan="2" onclick="javascript:toggleInherit('pub_static_methods_classarm__compute_1_1_i_tensor_info')"><img src="closed.png" alt="-"/> Static Public Member Functions inherited from <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a></td></tr>
309 <tr class="memitem:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memTemplParams" colspan="2">template<typename... Infos> </td></tr>
310 <tr class="memitem:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memTemplItemLeft" align="right" valign="top">static std::pair< <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>, <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#abb92caa923c8ff80bfdf1b408ef49185">broadcast_shape_and_valid_region</a> (const Infos &...infos)</td></tr>
311 <tr class="memdesc:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="mdescLeft"> </td><td class="mdescRight">If infos are broadcast compatible tensor info's, return the broadcasted shape and the intersection of the broadcasted valid regions of the tensors. <a href="#abb92caa923c8ff80bfdf1b408ef49185">More...</a><br /></td></tr>
312 <tr class="separator:abb92caa923c8ff80bfdf1b408ef49185 inherit pub_static_methods_classarm__compute_1_1_i_tensor_info"><td class="memSeparator" colspan="2"> </td></tr>
314 <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2>
315 <div class="textblock"><p>Store the tensor's metadata. </p>
317 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00044">44</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
318 </div><h2 class="groupheader">Constructor & Destructor Documentation</h2>
319 <a class="anchor" id="a21c2ae9fa438faf42669dadda628080c"></a>
320 <div class="memitem">
321 <div class="memproto">
322 <table class="memname">
324 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
326 <td class="paramname"></td><td>)</td>
330 </div><div class="memdoc">
332 <p>Default constructor. </p>
336 <a class="anchor" id="a4eb5913c3ce5fe2bcbaafd8c9224d384"></a>
337 <div class="memitem">
338 <div class="memproto">
339 <table class="mlabels">
341 <td class="mlabels-left">
342 <table class="memname">
344 <td class="memname">~<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
346 <td class="paramname"></td><td>)</td>
351 <td class="mlabels-right">
352 <span class="mlabels"><span class="mlabel">default</span></span> </td>
355 </div><div class="memdoc">
357 <p>Default destructor. </p>
361 <a class="anchor" id="a57911f186d22f552382d39010c09097d"></a>
362 <div class="memitem">
363 <div class="memproto">
364 <table class="memname">
366 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
368 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td>
369 <td class="paramname"><em>info</em></td><td>)</td>
373 </div><div class="memdoc">
375 <p>Allow instances of this class to be copy constructed. </p>
379 <a class="anchor" id="a494e9aa78ff5dde1788e0f9a8ba2213a"></a>
380 <div class="memitem">
381 <div class="memproto">
382 <table class="mlabels">
384 <td class="mlabels-left">
385 <table class="memname">
387 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
389 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </td>
390 <td class="paramname"></td><td>)</td>
395 <td class="mlabels-right">
396 <span class="mlabels"><span class="mlabel">default</span></span> </td>
399 </div><div class="memdoc">
401 <p>Allow instances of this class to be copy constructed. </p>
405 <a class="anchor" id="a134dfebc14c0e971f8df850846764f8e"></a>
406 <div class="memitem">
407 <div class="memproto">
408 <table class="mlabels">
410 <td class="mlabels-left">
411 <table class="memname">
413 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
415 <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> && </td>
416 <td class="paramname"></td><td>)</td>
421 <td class="mlabels-right">
422 <span class="mlabels"><span class="mlabel">default</span></span> </td>
425 </div><div class="memdoc">
427 <p>Allow instances of this class to be move constructed. </p>
431 <a class="anchor" id="a6762d60a00d7d09087ea5cb41d4392a8"></a>
432 <div class="memitem">
433 <div class="memproto">
434 <table class="memname">
436 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
438 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
439 <td class="paramname"><em>format</em></td><td>)</td>
443 </div><div class="memdoc">
445 <p>Construct a tensor info with a format. </p>
446 <p>Can be used for automatic derivation of the shape by the function.</p>
447 <dl class="params"><dt>Parameters</dt><dd>
448 <table class="params">
449 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Format of the tensor. </td></tr>
456 <a class="anchor" id="ac307dc31ce68e3cf1273ffbc86e57646"></a>
457 <div class="memitem">
458 <div class="memproto">
459 <table class="memname">
461 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
463 <td class="paramtype">unsigned int </td>
464 <td class="paramname"><em>width</em>, </td>
467 <td class="paramkey"></td>
469 <td class="paramtype">unsigned int </td>
470 <td class="paramname"><em>height</em>, </td>
473 <td class="paramkey"></td>
475 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
476 <td class="paramname"><em>format</em> </td>
484 </div><div class="memdoc">
486 <p>2D tensor constructor </p>
487 <dl class="params"><dt>Parameters</dt><dd>
488 <table class="params">
489 <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor </td></tr>
490 <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor </td></tr>
491 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
498 <a class="anchor" id="a9fa5acc4d8fd911b9b2fece99d3d5a8d"></a>
499 <div class="memitem">
500 <div class="memproto">
501 <table class="memname">
503 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
505 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
506 <td class="paramname"><em>tensor_shape</em>, </td>
509 <td class="paramkey"></td>
511 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
512 <td class="paramname"><em>format</em> </td>
520 </div><div class="memdoc">
523 <dl class="params"><dt>Parameters</dt><dd>
524 <table class="params">
525 <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>
526 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
533 <a class="anchor" id="a548b5b5c72f04c581933670098a1050f"></a>
534 <div class="memitem">
535 <div class="memproto">
536 <table class="memname">
538 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
540 <td class="paramtype">size_t </td>
541 <td class="paramname"><em>num_channels</em>, </td>
544 <td class="paramkey"></td>
546 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
547 <td class="paramname"><em>data_type</em>, </td>
550 <td class="paramkey"></td>
552 <td class="paramtype">size_t </td>
553 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
561 </div><div class="memdoc">
563 <p>Construct a tensor info with a data type and number of channels. </p>
564 <p>Can be used for automatic derivation of the shape by the function.</p>
565 <dl class="params"><dt>Parameters</dt><dd>
566 <table class="params">
567 <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>
568 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
569 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) It specifies the fixed point position when the tensor data type is QS8, QS16 or QS32. </td></tr>
576 <a class="anchor" id="a95aaadcca549fc310c8e6dddb2ab78d7"></a>
577 <div class="memitem">
578 <div class="memproto">
579 <table class="memname">
581 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
583 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
584 <td class="paramname"><em>tensor_shape</em>, </td>
587 <td class="paramkey"></td>
589 <td class="paramtype">size_t </td>
590 <td class="paramname"><em>num_channels</em>, </td>
593 <td class="paramkey"></td>
595 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
596 <td class="paramname"><em>data_type</em>, </td>
599 <td class="paramkey"></td>
601 <td class="paramtype">int </td>
602 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
610 </div><div class="memdoc">
613 <dl class="params"><dt>Parameters</dt><dd>
614 <table class="params">
615 <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>
616 <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>
617 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
618 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
625 <a class="anchor" id="a3017dc3990baec97aa09599b82c63b1b"></a>
626 <div class="memitem">
627 <div class="memproto">
628 <table class="memname">
630 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
632 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
633 <td class="paramname"><em>tensor_shape</em>, </td>
636 <td class="paramkey"></td>
638 <td class="paramtype">size_t </td>
639 <td class="paramname"><em>num_channels</em>, </td>
642 <td class="paramkey"></td>
644 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
645 <td class="paramname"><em>data_type</em>, </td>
648 <td class="paramkey"></td>
650 <td class="paramtype"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> </td>
651 <td class="paramname"><em>quantization_info</em> </td>
659 </div><div class="memdoc">
662 <dl class="params"><dt>Parameters</dt><dd>
663 <table class="params">
664 <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>
665 <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>
666 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
667 <tr><td class="paramdir">[in]</td><td class="paramname">quantization_info</td><td>The quantization settings for the tensor data. </td></tr>
674 <a class="anchor" id="ad3e249a7d8f329aa470d6903c9e415fe"></a>
675 <div class="memitem">
676 <div class="memproto">
677 <table class="memname">
679 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td>
681 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td>
682 <td class="paramname"><em>hog_info</em>, </td>
685 <td class="paramkey"></td>
687 <td class="paramtype">unsigned int </td>
688 <td class="paramname"><em>width</em>, </td>
691 <td class="paramkey"></td>
693 <td class="paramtype">unsigned int </td>
694 <td class="paramname"><em>height</em> </td>
702 </div><div class="memdoc">
705 <dl class="params"><dt>Parameters</dt><dd>
706 <table class="params">
707 <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>
708 <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>
709 <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>
716 <h2 class="groupheader">Member Function Documentation</h2>
717 <a class="anchor" id="a907f837b924945ad1981c8fe8eca61e4"></a>
718 <div class="memitem">
719 <div class="memproto">
720 <table class="mlabels">
722 <td class="mlabels-left">
723 <table class="memname">
725 <td class="memname">bool auto_padding </td>
727 <td class="paramname"></td><td>)</td>
732 <td class="mlabels-right">
733 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
736 </div><div class="memdoc">
738 <p>Update the offset to the first element and the strides to automatically computed values. </p>
739 <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>
740 <dl class="section return"><dt>Returns</dt><dd>True if the strides or the offset to the first element have changed. </dd></dl>
742 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>.</p>
746 <a class="anchor" id="a4c066d42d665fafb8cfe80b99411e4fb"></a>
747 <div class="memitem">
748 <div class="memproto">
749 <table class="mlabels">
751 <td class="mlabels-left">
752 <table class="memname">
754 <td class="memname">std::unique_ptr<<a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>> clone </td>
756 <td class="paramname"></td><td>)</td>
761 <td class="mlabels-right">
762 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
765 </div><div class="memdoc">
767 <p>Provide a clone of the current object of class T. </p>
768 <dl class="section return"><dt>Returns</dt><dd>Clone object of class T </dd></dl>
770 <p>Implements <a class="el" href="classarm__compute_1_1misc_1_1_i_cloneable.xhtml#a4d10e5012a872e7f78f2b539b673049d">ICloneable< ITensorInfo ></a>.</p>
772 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>.</p>
776 <a class="anchor" id="a9a3e72153aeb3ed212e9c3698774e881"></a>
777 <div class="memitem">
778 <div class="memproto">
779 <table class="mlabels">
781 <td class="mlabels-left">
782 <table class="memname">
784 <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type </td>
786 <td class="paramname"></td><td>)</td>
791 <td class="mlabels-right">
792 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
795 </div><div class="memdoc">
797 <p>Data type used for each element of the tensor. </p>
798 <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>
800 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo</a>.</p>
802 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00259">259</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
804 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00105">CLAccessor::data_type()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00103">GCAccessor::data_type()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
805 <div class="fragment"><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  {</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span>  <span class="keywordflow">return</span> _data_type;</div><div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  }</div></div><!-- fragment -->
808 <a class="anchor" id="a8813441b655b97c00139c6a5a6390e97"></a>
809 <div class="memitem">
810 <div class="memproto">
811 <table class="mlabels">
813 <td class="mlabels-left">
814 <table class="memname">
816 <td class="memname">size_t dimension </td>
818 <td class="paramtype">size_t </td>
819 <td class="paramname"><em>index</em></td><td>)</td>
824 <td class="mlabels-right">
825 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
828 </div><div class="memdoc">
830 <p>Return the size of the requested dimension. </p>
831 <dl class="params"><dt>Parameters</dt><dd>
832 <table class="params">
833 <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of the dimension</td></tr>
837 <dl class="section return"><dt>Returns</dt><dd>Dimension of the requested dimension </dd></dl>
839 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo</a>.</p>
841 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00226">226</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
842 <div class="fragment"><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  {</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordflow">return</span> _tensor_shape[index];</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  }</div></div><!-- fragment -->
845 <a class="anchor" id="a62b67b578f684c4d516843c9dea86a23"></a>
846 <div class="memitem">
847 <div class="memproto">
848 <table class="mlabels">
850 <td class="mlabels-left">
851 <table class="memname">
853 <td class="memname">size_t element_size </td>
855 <td class="paramname"></td><td>)</td>
860 <td class="mlabels-right">
861 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
864 </div><div class="memdoc">
866 <p>Element size in bytes calculated as data_size() * <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c" title="The number of channels for each tensor element. ">num_channels()</a> </p>
867 <dl class="section return"><dt>Returns</dt><dd>The size of one element in bytes </dd></dl>
869 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo</a>.</p>
871 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00243">243</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
873 <p>References <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00089">arm_compute::data_size_from_type()</a>.</p>
875 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00090">CLAccessor::element_size()</a>, and <a class="el" href="_g_c_accessor_8h_source.xhtml#l00088">GCAccessor::element_size()</a>.</p>
876 <div class="fragment"><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  {</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  <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="l00246"></a><span class="lineno"> 246</span>  }</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#l00089">Utils.h:89</a></div></div>
877 </div><!-- fragment -->
880 <a class="anchor" id="af53d8203ecc37896ca4579d1ee3fdffc"></a>
881 <div class="memitem">
882 <div class="memproto">
883 <table class="mlabels">
885 <td class="mlabels-left">
886 <table class="memname">
888 <td class="memname">bool extend_padding </td>
890 <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> & </td>
891 <td class="paramname"><em>padding</em></td><td>)</td>
896 <td class="mlabels-right">
897 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
900 </div><div class="memdoc">
902 <p>Update the offset to the first element, the strides and the total size. </p>
903 <dl class="section note"><dt>Note</dt><dd>This function can only increase the offset, strides and total size.</dd></dl>
904 <dl class="params"><dt>Parameters</dt><dd>
905 <table class="params">
906 <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>Padding around the XY plane in number of elements.</td></tr>
910 <dl class="section return"><dt>Returns</dt><dd>True if the strides, offset and total size have changed. </dd></dl>
912 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">ITensorInfo</a>.</p>
914 <p>Referenced by <a class="el" href="_c_l_2_fill_border_8cpp_source.xhtml#l00052">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p>
918 <a class="anchor" id="a35ccf2eb0c18a15feab2db98b307b78b"></a>
919 <div class="memitem">
920 <div class="memproto">
921 <table class="mlabels">
923 <td class="mlabels-left">
924 <table class="memname">
926 <td class="memname">int fixed_point_position </td>
928 <td class="paramname"></td><td>)</td>
933 <td class="mlabels-right">
934 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
937 </div><div class="memdoc">
939 <p>Fixed point position used when the tensor data type is QS8 or QS16. </p>
940 <dl class="section return"><dt>Returns</dt><dd>The fixed point position that expresses the number of bits for the fractional part of the number </dd></dl>
942 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">ITensorInfo</a>.</p>
944 <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>
946 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00125">CLAccessor::fixed_point_position()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00123">GCAccessor::fixed_point_position()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
947 <div class="fragment"><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordflow">return</span> _fixed_point_position;</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div></div><!-- fragment -->
950 <a class="anchor" id="ac4b36cc1e56b0b7e579bb4b7196490db"></a>
951 <div class="memitem">
952 <div class="memproto">
953 <table class="mlabels">
955 <td class="mlabels-left">
956 <table class="memname">
958 <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format </td>
960 <td class="paramname"></td><td>)</td>
965 <td class="mlabels-right">
966 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
969 </div><div class="memdoc">
971 <p>Colour format of the image. </p>
972 <dl class="section return"><dt>Returns</dt><dd>Colour format of the image </dd></dl>
974 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">ITensorInfo</a>.</p>
976 <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>
978 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00100">CLAccessor::format()</a>, and <a class="el" href="_g_c_accessor_8h_source.xhtml#l00098">GCAccessor::format()</a>.</p>
979 <div class="fragment"><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  {</div><div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  <span class="keywordflow">return</span> _format;</div><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div></div><!-- fragment -->
982 <a class="anchor" id="aa2ca251f99c56767719e991a26371603"></a>
983 <div class="memitem">
984 <div class="memproto">
985 <table class="mlabels">
987 <td class="mlabels-left">
988 <table class="memname">
990 <td class="memname">bool has_padding </td>
992 <td class="paramname"></td><td>)</td>
997 <td class="mlabels-right">
998 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1001 </div><div class="memdoc">
1003 <p>Checks if the tensor has been allocated with padding or not. </p>
1004 <dl class="section return"><dt>Returns</dt><dd>True if padding is allocated in the tensor, otherwise false. </dd></dl>
1006 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">ITensorInfo</a>.</p>
1008 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00275">275</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1010 <p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00256">BorderSize::empty()</a>.</p>
1011 <div class="fragment"><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  {</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <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="l00278"></a><span class="lineno"> 278</span>  }</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="arm__compute_2core_2_types_8h_source.xhtml#l00256">Types.h:256</a></div></div>
1012 </div><!-- fragment -->
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1017 <div class="memproto">
1018 <table class="memname">
1020 <td class="memname">void init </td>
1022 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
1023 <td class="paramname"><em>format</em></td><td>)</td>
1027 </div><div class="memdoc">
1029 <p>Initialize the tensor info with just a format. </p>
1030 <p>Can be used for automatic derivation of the shape by the function.</p>
1031 <dl class="params"><dt>Parameters</dt><dd>
1032 <table class="params">
1033 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1040 <a class="anchor" id="a0ae7d318c02e56a3daa9e5e4f9dab117"></a>
1041 <div class="memitem">
1042 <div class="memproto">
1043 <table class="memname">
1045 <td class="memname">void init </td>
1047 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1048 <td class="paramname"><em>tensor_shape</em>, </td>
1051 <td class="paramkey"></td>
1053 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
1054 <td class="paramname"><em>format</em> </td>
1062 </div><div class="memdoc">
1064 <p>Initialize the metadata structure with the given parameters. </p>
1065 <dl class="params"><dt>Parameters</dt><dd>
1066 <table class="params">
1067 <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>
1068 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1075 <a class="anchor" id="ad4b6171ddcf854de5d1226cd4d0b0439"></a>
1076 <div class="memitem">
1077 <div class="memproto">
1078 <table class="memname">
1080 <td class="memname">void init </td>
1082 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1083 <td class="paramname"><em>tensor_shape</em>, </td>
1086 <td class="paramkey"></td>
1088 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
1089 <td class="paramname"><em>format</em>, </td>
1092 <td class="paramkey"></td>
1094 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> & </td>
1095 <td class="paramname"><em>strides_in_bytes</em>, </td>
1098 <td class="paramkey"></td>
1100 <td class="paramtype">size_t </td>
1101 <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
1104 <td class="paramkey"></td>
1106 <td class="paramtype">size_t </td>
1107 <td class="paramname"><em>total_size_in_bytes</em> </td>
1115 </div><div class="memdoc">
1117 <p>Initialize the metadata structure with the given parameters. </p>
1118 <dl class="params"><dt>Parameters</dt><dd>
1119 <table class="params">
1120 <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>
1121 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr>
1122 <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>
1123 <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>
1124 <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>
1131 <a class="anchor" id="aa4d75a4cba474685a8a6fa2ea97b2505"></a>
1132 <div class="memitem">
1133 <div class="memproto">
1134 <table class="memname">
1136 <td class="memname">void init </td>
1138 <td class="paramtype">size_t </td>
1139 <td class="paramname"><em>num_channels</em>, </td>
1142 <td class="paramkey"></td>
1144 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
1145 <td class="paramname"><em>data_type</em>, </td>
1148 <td class="paramkey"></td>
1150 <td class="paramtype">size_t </td>
1151 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
1159 </div><div class="memdoc">
1161 <p>Initialize the tensor info with just a format. </p>
1162 <p>Can be used for automatic derivation of the shape by the function.</p>
1163 <dl class="params"><dt>Parameters</dt><dd>
1164 <table class="params">
1165 <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1166 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1167 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position when the tensor data type is QS8, QS16 or QS32. </td></tr>
1174 <a class="anchor" id="ad535a8a10fae9fca925ae45c7931b9d6"></a>
1175 <div class="memitem">
1176 <div class="memproto">
1177 <table class="memname">
1179 <td class="memname">void init </td>
1181 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1182 <td class="paramname"><em>tensor_shape</em>, </td>
1185 <td class="paramkey"></td>
1187 <td class="paramtype">size_t </td>
1188 <td class="paramname"><em>num_channels</em>, </td>
1191 <td class="paramkey"></td>
1193 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
1194 <td class="paramname"><em>data_type</em>, </td>
1197 <td class="paramkey"></td>
1199 <td class="paramtype">int </td>
1200 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
1208 </div><div class="memdoc">
1210 <p>Initialize the metadata structure with the given parameters. </p>
1211 <dl class="params"><dt>Parameters</dt><dd>
1212 <table class="params">
1213 <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>
1214 <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1215 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1216 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
1223 <a class="anchor" id="ab12220b6863064c5dd4742fd0f3f0080"></a>
1224 <div class="memitem">
1225 <div class="memproto">
1226 <table class="memname">
1228 <td class="memname">void init </td>
1230 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1231 <td class="paramname"><em>tensor_shape</em>, </td>
1234 <td class="paramkey"></td>
1236 <td class="paramtype">size_t </td>
1237 <td class="paramname"><em>num_channels</em>, </td>
1240 <td class="paramkey"></td>
1242 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
1243 <td class="paramname"><em>data_type</em>, </td>
1246 <td class="paramkey"></td>
1248 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> & </td>
1249 <td class="paramname"><em>strides_in_bytes</em>, </td>
1252 <td class="paramkey"></td>
1254 <td class="paramtype">size_t </td>
1255 <td class="paramname"><em>offset_first_element_in_bytes</em>, </td>
1258 <td class="paramkey"></td>
1260 <td class="paramtype">size_t </td>
1261 <td class="paramname"><em>total_size_in_bytes</em>, </td>
1264 <td class="paramkey"></td>
1266 <td class="paramtype">int </td>
1267 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
1275 </div><div class="memdoc">
1277 <p>Initialize the metadata structure with the given parameters. </p>
1278 <dl class="params"><dt>Parameters</dt><dd>
1279 <table class="params">
1280 <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>
1281 <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr>
1282 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr>
1283 <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>
1284 <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>
1285 <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>
1286 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16. </td></tr>
1293 <a class="anchor" id="a4eaa68a1707f4ff3983c6dddd21794ea"></a>
1294 <div class="memitem">
1295 <div class="memproto">
1296 <table class="memname">
1298 <td class="memname">void init </td>
1300 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td>
1301 <td class="paramname"><em>hog_info</em>, </td>
1304 <td class="paramkey"></td>
1306 <td class="paramtype">unsigned int </td>
1307 <td class="paramname"><em>width</em>, </td>
1310 <td class="paramkey"></td>
1312 <td class="paramtype">unsigned int </td>
1313 <td class="paramname"><em>height</em> </td>
1321 </div><div class="memdoc">
1323 <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>
1324 <dl class="params"><dt>Parameters</dt><dd>
1325 <table class="params">
1326 <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>
1327 <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>
1328 <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>
1335 <a class="anchor" id="a4b7391b7025befbe44b743723feb4a9b"></a>
1336 <div class="memitem">
1337 <div class="memproto">
1338 <table class="memname">
1340 <td class="memname">size_t init_auto_padding </td>
1342 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1343 <td class="paramname"><em>tensor_shape</em>, </td>
1346 <td class="paramkey"></td>
1348 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
1349 <td class="paramname"><em>format</em> </td>
1357 </div><div class="memdoc">
1359 <p>Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated) </p>
1360 <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>
1361 <dl class="params"><dt>Parameters</dt><dd>
1362 <table class="params">
1363 <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>
1364 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the image.</td></tr>
1368 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1372 <a class="anchor" id="a316bb82020031b46ad452a7ad0d4b461"></a>
1373 <div class="memitem">
1374 <div class="memproto">
1375 <table class="memname">
1377 <td class="memname">size_t init_auto_padding </td>
1379 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
1380 <td class="paramname"><em>tensor_shape</em>, </td>
1383 <td class="paramkey"></td>
1385 <td class="paramtype">size_t </td>
1386 <td class="paramname"><em>num_channels</em>, </td>
1389 <td class="paramkey"></td>
1391 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
1392 <td class="paramname"><em>data_type</em>, </td>
1395 <td class="paramkey"></td>
1397 <td class="paramtype">int </td>
1398 <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td>
1406 </div><div class="memdoc">
1408 <p>Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position. </p>
1409 <p>(Padding is automatically calculated)</p>
1410 <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>
1411 <dl class="params"><dt>Parameters</dt><dd>
1412 <table class="params">
1413 <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>
1414 <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>
1415 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr>
1416 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>(Optional) Fixed point position that expresses the number of bits for the fractional part of the number when the tensor's data type is QS8 or QS16.</td></tr>
1420 <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl>
1424 <a class="anchor" id="a9a30265f100a459de985a9f3f91db76c"></a>
1425 <div class="memitem">
1426 <div class="memproto">
1427 <table class="memname">
1429 <td class="memname">size_t init_auto_padding </td>
1431 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td>
1432 <td class="paramname"><em>hog_info</em>, </td>
1435 <td class="paramkey"></td>
1437 <td class="paramtype">unsigned int </td>
1438 <td class="paramname"><em>width</em>, </td>
1441 <td class="paramkey"></td>
1443 <td class="paramtype">unsigned int </td>
1444 <td class="paramname"><em>height</em> </td>
1452 </div><div class="memdoc">
1454 <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>
1455 <dl class="section note"><dt>Note</dt><dd>init_auto_padding will be used for the tensor initialization.</dd></dl>
1456 <dl class="params"><dt>Parameters</dt><dd>
1457 <table class="params">
1458 <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>
1459 <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>
1460 <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>
1467 <a class="anchor" id="aaee6555ace43b03173844b1a228a3fc3"></a>
1468 <div class="memitem">
1469 <div class="memproto">
1470 <table class="mlabels">
1472 <td class="mlabels-left">
1473 <table class="memname">
1475 <td class="memname">bool is_resizable </td>
1477 <td class="paramname"></td><td>)</td>
1482 <td class="mlabels-right">
1483 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1486 </div><div class="memdoc">
1488 <p>Flag indicating whether the size of the tensor can be changed. </p>
1489 <dl class="section return"><dt>Returns</dt><dd>True if the tensor size can be changed. </dd></dl>
1491 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">ITensorInfo</a>.</p>
1493 <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>
1495 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_convolution_8cpp_source.xhtml#l00202">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, and <a class="el" href="_tensor_info_8h_source.xhtml#l00283">TensorInfo::set_is_resizable()</a>.</p>
1496 <div class="fragment"><div class="line"><a name="l00280"></a><span class="lineno"> 280</span>  {</div><div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="keywordflow">return</span> _is_resizable;</div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  }</div></div><!-- fragment -->
1499 <a class="anchor" id="a6f13b974eeb528acde66de8d9b3fd95c"></a>
1500 <div class="memitem">
1501 <div class="memproto">
1502 <table class="mlabels">
1504 <td class="mlabels-left">
1505 <table class="memname">
1507 <td class="memname">size_t num_channels </td>
1509 <td class="paramname"></td><td>)</td>
1514 <td class="mlabels-right">
1515 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1518 </div><div class="memdoc">
1520 <p>The number of channels for each tensor element. </p>
1521 <dl class="section return"><dt>Returns</dt><dd>The number of channels for each tensor element </dd></dl>
1523 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>.</p>
1525 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00251">251</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1527 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00110">CLAccessor::num_channels()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00108">GCAccessor::num_channels()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00087">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
1528 <div class="fragment"><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  {</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  <span class="keywordflow">return</span> _num_channels;</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div></div><!-- fragment -->
1531 <a class="anchor" id="a13622133d9b41900a6a3e8f89e59a78b"></a>
1532 <div class="memitem">
1533 <div class="memproto">
1534 <table class="mlabels">
1536 <td class="mlabels-left">
1537 <table class="memname">
1539 <td class="memname">size_t num_dimensions </td>
1541 <td class="paramname"></td><td>)</td>
1546 <td class="mlabels-right">
1547 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1550 </div><div class="memdoc">
1552 <p>The number of dimensions of the tensor (rank) </p>
1553 <dl class="section return"><dt>Returns</dt><dd>The number of dimensions of the tensor (rank) </dd></dl>
1555 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>.</p>
1557 <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>
1559 <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00122">Dimensions< T >::num_dimensions()</a>.</p>
1560 <div class="fragment"><div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  {</div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <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="l00250"></a><span class="lineno"> 250</span>  }</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#l00122">Dimensions.h:122</a></div></div>
1561 </div><!-- fragment -->
1564 <a class="anchor" id="a147790358ccd40f61dcd618cd4edd688"></a>
1565 <div class="memitem">
1566 <div class="memproto">
1567 <table class="mlabels">
1569 <td class="mlabels-left">
1570 <table class="memname">
1572 <td class="memname">size_t offset_element_in_bytes </td>
1574 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & </td>
1575 <td class="paramname"><em>pos</em></td><td>)</td>
1580 <td class="mlabels-right">
1581 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1584 </div><div class="memdoc">
1586 <p>The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...) </p>
1587 <dl class="params"><dt>Parameters</dt><dd>
1588 <table class="params">
1589 <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>
1593 <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>
1595 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">ITensorInfo</a>.</p>
1597 <p>Referenced by <a class="el" href="_tensor_info_8h_source.xhtml#l00234">TensorInfo::offset_first_element_in_bytes()</a>.</p>
1601 <a class="anchor" id="ab54246abe670b06f5624add7e7022904"></a>
1602 <div class="memitem">
1603 <div class="memproto">
1604 <table class="mlabels">
1606 <td class="mlabels-left">
1607 <table class="memname">
1609 <td class="memname">size_t offset_first_element_in_bytes </td>
1611 <td class="paramname"></td><td>)</td>
1616 <td class="mlabels-right">
1617 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1620 </div><div class="memdoc">
1622 <p>The offset from the beginning of the memory allocation to the first element of the tensor. </p>
1623 <p>This can be used to access efficiently elements in a 2D tensor</p>
1624 <dl class="section return"><dt>Returns</dt><dd>The offset in bytes to access the first element of the tensor. </dd></dl>
1626 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">ITensorInfo</a>.</p>
1628 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00234">234</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1630 <p>References <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a147790358ccd40f61dcd618cd4edd688">TensorInfo::offset_element_in_bytes()</a>.</p>
1631 <div class="fragment"><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  {</div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  }</div></div><!-- fragment -->
1634 <a class="anchor" id="adcf156ba30ff118c28690671e83ea06b"></a>
1635 <div class="memitem">
1636 <div class="memproto">
1637 <table class="mlabels">
1639 <td class="mlabels-left">
1640 <table class="memname">
1642 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>& operator= </td>
1644 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </td>
1645 <td class="paramname"></td><td>)</td>
1650 <td class="mlabels-right">
1651 <span class="mlabels"><span class="mlabel">default</span></span> </td>
1654 </div><div class="memdoc">
1656 <p>Allow instances of this class to be copied. </p>
1660 <a class="anchor" id="a532c27f6bf3cd9275cb7fc9a0d0bbf6e"></a>
1661 <div class="memitem">
1662 <div class="memproto">
1663 <table class="mlabels">
1665 <td class="mlabels-left">
1666 <table class="memname">
1668 <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>& operator= </td>
1670 <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> && </td>
1671 <td class="paramname"></td><td>)</td>
1676 <td class="mlabels-right">
1677 <span class="mlabels"><span class="mlabel">default</span></span> </td>
1680 </div><div class="memdoc">
1682 <p>Allow instances of this class to be moved. </p>
1686 <a class="anchor" id="a79e20eacb1e963e24a21ebd7369effd7"></a>
1687 <div class="memitem">
1688 <div class="memproto">
1689 <table class="mlabels">
1691 <td class="mlabels-left">
1692 <table class="memname">
1694 <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding </td>
1696 <td class="paramname"></td><td>)</td>
1701 <td class="mlabels-right">
1702 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1705 </div><div class="memdoc">
1707 <p>Padding of tensor. </p>
1708 <dl class="section return"><dt>Returns</dt><dd>Padding. </dd></dl>
1710 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo</a>.</p>
1712 <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>
1714 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_accumulate_8cpp_source.xhtml#l00131">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00118">GCAccessor::padding()</a>, and <a class="el" href="_c_l_accessor_8h_source.xhtml#l00120">CLAccessor::padding()</a>.</p>
1715 <div class="fragment"><div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  {</div><div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">return</span> _padding;</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div></div><!-- fragment -->
1718 <a class="anchor" id="ac74736e3863207232a23b7181c1d0f44"></a>
1719 <div class="memitem">
1720 <div class="memproto">
1721 <table class="mlabels">
1723 <td class="mlabels-left">
1724 <table class="memname">
1726 <td class="memname"><a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> quantization_info </td>
1728 <td class="paramname"></td><td>)</td>
1733 <td class="mlabels-right">
1734 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1737 </div><div class="memdoc">
1739 <p>Get the quantization settings (scale and offset) of the tensor. </p>
1740 <dl class="section return"><dt>Returns</dt><dd>A <a class="el" href="structarm__compute_1_1_quantization_info.xhtml" title="Quantization settings (used for QASYMM8 data type) ">QuantizationInfo</a> containing the scale and offset. </dd></dl>
1742 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a3f3e1a3200223e6a304a533b1016e749">ITensorInfo</a>.</p>
1744 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00296">296</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1746 <p>Referenced by <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00119">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_accessor_8h_source.xhtml#l00130">CLAccessor::quantization_info()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00128">GCAccessor::quantization_info()</a>, and <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
1747 <div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  {</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">return</span> _quantization_info;</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div></div><!-- fragment -->
1750 <a class="anchor" id="ad29c039b6f3c4534928ed99aa9f53027"></a>
1751 <div class="memitem">
1752 <div class="memproto">
1753 <table class="mlabels">
1755 <td class="mlabels-left">
1756 <table class="memname">
1758 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& reset_padding </td>
1760 <td class="paramname"></td><td>)</td>
1765 <td class="mlabels-right">
1766 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1769 </div><div class="memdoc">
1771 <p>Resets the padding settings of the tensor. </p>
1772 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1774 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#afc135290818a7ae02d2195c013796fdd">ITensorInfo</a>.</p>
1778 <a class="anchor" id="a613528bd0feb15ee8d6df06cbdb629f8"></a>
1779 <div class="memitem">
1780 <div class="memproto">
1781 <table class="mlabels">
1783 <td class="mlabels-left">
1784 <table class="memname">
1786 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_data_type </td>
1788 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td>
1789 <td class="paramname"><em>data_type</em></td><td>)</td>
1794 <td class="mlabels-right">
1795 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1798 </div><div class="memdoc">
1800 <p>Set the data type to the specified value. </p>
1801 <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl>
1802 <dl class="params"><dt>Parameters</dt><dd>
1803 <table class="params">
1804 <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>The new data type.</td></tr>
1808 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1810 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9ebcdce876b4cd07736afa47d50154de">ITensorInfo</a>.</p>
1812 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
1816 <a class="anchor" id="a2732b9eab657cad69807adb815b97c9f"></a>
1817 <div class="memitem">
1818 <div class="memproto">
1819 <table class="mlabels">
1821 <td class="mlabels-left">
1822 <table class="memname">
1824 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_fixed_point_position </td>
1826 <td class="paramtype">int </td>
1827 <td class="paramname"><em>fixed_point_position</em></td><td>)</td>
1832 <td class="mlabels-right">
1833 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1836 </div><div class="memdoc">
1838 <p>Set the fixed point position to the specified value. </p>
1839 <dl class="section warning"><dt>Warning</dt><dd>The fixed point position must be set once the data type has been configured</dd></dl>
1840 <dl class="params"><dt>Parameters</dt><dd>
1841 <table class="params">
1842 <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>The new fixed point position</td></tr>
1846 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1848 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a8d9488caf817e12132f0ca2a4c30deba">ITensorInfo</a>.</p>
1852 <a class="anchor" id="af501bc12f51874e786b0f28016a99ff7"></a>
1853 <div class="memitem">
1854 <div class="memproto">
1855 <table class="mlabels">
1857 <td class="mlabels-left">
1858 <table class="memname">
1860 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_format </td>
1862 <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td>
1863 <td class="paramname"><em>format</em></td><td>)</td>
1868 <td class="mlabels-right">
1869 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1872 </div><div class="memdoc">
1874 <p>Set the format of an already initialized tensor. </p>
1875 <dl class="section note"><dt>Note</dt><dd>If the data type has already been configured (i.e. not UNKNOWN) it must match the new format. If data type hasn't been configured it will be based on the format.</dd></dl>
1876 <dl class="params"><dt>Parameters</dt><dd>
1877 <table class="params">
1878 <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single-plane format of the tensor.</td></tr>
1882 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1884 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a17394f0f7aea22d9b2d4c6f33bfa69ca">ITensorInfo</a>.</p>
1886 <p>Referenced by <a class="el" href="validation_2_c_l_2_harris_corners_8cpp_source.xhtml#l00058">arm_compute::test::validation::DATA_TEST_CASE()</a>, <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00080">arm_compute::test::validation::FIXTURE_DATA_TEST_CASE()</a>, <a class="el" href="validation_2fixtures_2_magnitude_fixture_8h_source.xhtml#l00046">MagnitudeValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, <a class="el" href="_phase_fixture_8h_source.xhtml#l00046">PhaseValidationFixture< TensorType, AccessorType, FunctionType, T >::setup()</a>, and <a class="el" href="_c_l_2_min_max_location_8cpp_source.xhtml#l00045">arm_compute::test::validation::validate_configuration()</a>.</p>
1890 <a class="anchor" id="a78bf77b2d9b959259f77a32b9a412184"></a>
1891 <div class="memitem">
1892 <div class="memproto">
1893 <table class="mlabels">
1895 <td class="mlabels-left">
1896 <table class="memname">
1898 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_is_resizable </td>
1900 <td class="paramtype">bool </td>
1901 <td class="paramname"><em>is_resizable</em></td><td>)</td>
1906 <td class="mlabels-right">
1907 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1910 </div><div class="memdoc">
1912 <p>Set the flag whether the tensor size can be changed. </p>
1913 <dl class="params"><dt>Parameters</dt><dd>
1914 <table class="params">
1915 <tr><td class="paramdir">[in]</td><td class="paramname">is_resizable</td><td>Flag that marks the tensor if it can be changed or not.</td></tr>
1919 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1921 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9273842d8e5dc1a3c7fab727176fd7fe">ITensorInfo</a>.</p>
1923 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00283">283</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
1925 <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00279">TensorInfo::is_resizable()</a>.</p>
1926 <div class="fragment"><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  {</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>;</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">return</span> *<span class="keyword">this</span>;</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_aaee6555ace43b03173844b1a228a3fc3"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">arm_compute::TensorInfo::is_resizable</a></div><div class="ttdeci">bool is_resizable() const override</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#l00279">TensorInfo.h:279</a></div></div>
1927 </div><!-- fragment -->
1930 <a class="anchor" id="a5b0a9fd674f8748506b6944c030bc47e"></a>
1931 <div class="memitem">
1932 <div class="memproto">
1933 <table class="mlabels">
1935 <td class="mlabels-left">
1936 <table class="memname">
1938 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_num_channels </td>
1940 <td class="paramtype">int </td>
1941 <td class="paramname"><em>num_channels</em></td><td>)</td>
1946 <td class="mlabels-right">
1947 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1950 </div><div class="memdoc">
1952 <p>Set the number of channels to the specified value. </p>
1953 <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl>
1954 <dl class="params"><dt>Parameters</dt><dd>
1955 <table class="params">
1956 <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>New number of channels.</td></tr>
1960 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1962 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aaf74be25e2392705f29352ffaa4b1f9d">ITensorInfo</a>.</p>
1966 <a class="anchor" id="acda9036ad24c455f67f2fea388a0ae13"></a>
1967 <div class="memitem">
1968 <div class="memproto">
1969 <table class="mlabels">
1971 <td class="mlabels-left">
1972 <table class="memname">
1974 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_quantization_info </td>
1976 <td class="paramtype">const <a class="el" href="structarm__compute_1_1_quantization_info.xhtml">QuantizationInfo</a> & </td>
1977 <td class="paramname"><em>quantization_info</em></td><td>)</td>
1982 <td class="mlabels-right">
1983 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
1986 </div><div class="memdoc">
1988 <p>Set the quantization settings (scale and offset) of the tensor. </p>
1989 <dl class="params"><dt>Parameters</dt><dd>
1990 <table class="params">
1991 <tr><td class="paramdir">[in]</td><td class="paramname">quantization_info</td><td><a class="el" href="structarm__compute_1_1_quantization_info.xhtml" title="Quantization settings (used for QASYMM8 data type) ">QuantizationInfo</a> containing the scale and offset</td></tr>
1995 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
1997 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a575d37eaf8a905c8ca3c0250757c2b81">ITensorInfo</a>.</p>
1999 <p>Referenced by <a class="el" href="tests_2_utils_8h_source.xhtml#l00474">arm_compute::test::create_tensor()</a>, <a class="el" href="validation_2_c_l_2_g_e_m_m_lowp_8cpp_source.xhtml#l00052">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="validation_2fixtures_2_g_e_m_m_lowp_fixture_8h_source.xhtml#l00050">GEMMLowpMatrixMultiplyCoreValidationFixture< TensorType, AccessorType, FunctionType >::setup()</a>.</p>
2003 <a class="anchor" id="a7b6610e6100c67d39b712df6f4f80dcf"></a>
2004 <div class="memitem">
2005 <div class="memproto">
2006 <table class="mlabels">
2008 <td class="mlabels-left">
2009 <table class="memname">
2011 <td class="memname"><a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a>& set_tensor_shape </td>
2013 <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td>
2014 <td class="paramname"><em>shape</em></td><td>)</td>
2019 <td class="mlabels-right">
2020 <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2023 </div><div class="memdoc">
2025 <p>Set the shape of an already initialized tensor. </p>
2026 <dl class="section warning"><dt>Warning</dt><dd>Changing the shape requires to recompute the strides and is therefore only possible if the tensor hasn't been allocated yet.</dd></dl>
2027 <dl class="params"><dt>Parameters</dt><dd>
2028 <table class="params">
2029 <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>New tensor shape.</td></tr>
2033 <dl class="section return"><dt>Returns</dt><dd>Reference to this <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml" title="Store the tensor's metadata. ">ITensorInfo</a> object </dd></dl>
2035 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a12a4f1190952613e36b44846962e26bb">ITensorInfo</a>.</p>
2037 <p>Referenced by <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>.</p>
2041 <a class="anchor" id="a43e45363267b6bce4bb6770febe9ce11"></a>
2042 <div class="memitem">
2043 <div class="memproto">
2044 <table class="mlabels">
2046 <td class="mlabels-left">
2047 <table class="memname">
2049 <td class="memname">void set_valid_region </td>
2051 <td class="paramtype">const <a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> & </td>
2052 <td class="paramname"><em>valid_region</em></td><td>)</td>
2057 <td class="mlabels-right">
2058 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2061 </div><div class="memdoc">
2063 <p>Set the valid region of the tensor. </p>
2064 <dl class="params"><dt>Parameters</dt><dd>
2065 <table class="params">
2066 <tr><td class="paramdir">[in]</td><td class="paramname">valid_region</td><td>Valid region to set. </td></tr>
2071 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a9586081a29fceb532ab270bd843abee6">ITensorInfo</a>.</p>
2073 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00292">292</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2075 <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00288">TensorInfo::valid_region()</a>.</p>
2076 <div class="fragment"><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  {</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  _valid_region = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>;</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  }</div><div class="ttc" id="classarm__compute_1_1_tensor_info_xhtml_a3c20d908342087484d883574d55dd482"><div class="ttname"><a href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">arm_compute::TensorInfo::valid_region</a></div><div class="ttdeci">ValidRegion valid_region() const override</div><div class="ttdoc">Valid region of the tensor. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_info_8h_source.xhtml#l00288">TensorInfo.h:288</a></div></div>
2077 </div><!-- fragment -->
2080 <a class="anchor" id="a5f1ca9d674346287cae57a6c5b5c24ec"></a>
2081 <div class="memitem">
2082 <div class="memproto">
2083 <table class="mlabels">
2085 <td class="mlabels-left">
2086 <table class="memname">
2088 <td class="memname">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a>& strides_in_bytes </td>
2090 <td class="paramname"></td><td>)</td>
2095 <td class="mlabels-right">
2096 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2099 </div><div class="memdoc">
2101 <p>The strides in bytes for accessing each dimension of the tensor. </p>
2102 <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>
2104 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">ITensorInfo</a>.</p>
2106 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00230">230</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2107 <div class="fragment"><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  {</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  <span class="keywordflow">return</span> _strides_in_bytes;</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  }</div></div><!-- fragment -->
2110 <a class="anchor" id="a269b19ce3f357ac65f41f9951906e38e"></a>
2111 <div class="memitem">
2112 <div class="memproto">
2113 <table class="mlabels">
2115 <td class="mlabels-left">
2116 <table class="memname">
2118 <td class="memname">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>& tensor_shape </td>
2120 <td class="paramname"></td><td>)</td>
2125 <td class="mlabels-right">
2126 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2129 </div><div class="memdoc">
2131 <p>Size for each dimension of the tensor. </p>
2132 <dl class="section return"><dt>Returns</dt><dd>A vector with the size for each dimension of the tensor </dd></dl>
2134 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo</a>.</p>
2136 <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>
2138 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00115">CLAccessor::num_elements()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00113">GCAccessor::num_elements()</a>, <a class="el" href="_c_l_accessor_8h_source.xhtml#l00085">CLAccessor::shape()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00083">GCAccessor::shape()</a>, <a class="el" href="_tensor_info_8cpp_source.xhtml#l00103">arm_compute::test::validation::TEST_CASE()</a>, and <a class="el" href="_type_printer_8h_source.xhtml#l00605">arm_compute::to_string()</a>.</p>
2139 <div class="fragment"><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  {</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  <span class="keywordflow">return</span> _tensor_shape;</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div></div><!-- fragment -->
2142 <a class="anchor" id="af398466b602a02b42d8df19fb66a6c60"></a>
2143 <div class="memitem">
2144 <div class="memproto">
2145 <table class="mlabels">
2147 <td class="mlabels-left">
2148 <table class="memname">
2150 <td class="memname">size_t total_size </td>
2152 <td class="paramname"></td><td>)</td>
2157 <td class="mlabels-right">
2158 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2161 </div><div class="memdoc">
2163 <p>Returns the total size of the tensor in bytes. </p>
2164 <dl class="section return"><dt>Returns</dt><dd>Total size of the tensor in bytes. </dd></dl>
2166 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo</a>.</p>
2168 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00267">267</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2170 <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00095">CLAccessor::size()</a>, <a class="el" href="_g_c_accessor_8h_source.xhtml#l00093">GCAccessor::size()</a>, and <a class="el" href="_tensor_allocator_8cpp_source.xhtml#l00042">arm_compute::test::validation::TEST_CASE()</a>.</p>
2171 <div class="fragment"><div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  {</div><div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  <span class="keywordflow">return</span> _total_size;</div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  }</div></div><!-- fragment -->
2174 <a class="anchor" id="a3c20d908342087484d883574d55dd482"></a>
2175 <div class="memitem">
2176 <div class="memproto">
2177 <table class="mlabels">
2179 <td class="mlabels-left">
2180 <table class="memname">
2182 <td class="memname"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region </td>
2184 <td class="paramname"></td><td>)</td>
2189 <td class="mlabels-right">
2190 <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td>
2193 </div><div class="memdoc">
2195 <p>Valid region of the tensor. </p>
2196 <p>All elements in the valid region have defined values, i.e. are not undefined.</p>
2197 <dl class="section return"><dt>Returns</dt><dd>The valid region. </dd></dl>
2199 <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">ITensorInfo</a>.</p>
2201 <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00288">288</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p>
2203 <p>Referenced by <a class="el" href="validation_2_c_l_2_activation_layer_8cpp_source.xhtml#l00114">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="_tensor_info_8h_source.xhtml#l00292">TensorInfo::set_valid_region()</a>.</p>
2204 <div class="fragment"><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  {</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordflow">return</span> _valid_region;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  }</div></div><!-- fragment -->
2207 <hr/>The documentation for this class was generated from the following file:<ul>
2208 <li>arm_compute/core/<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a></li>
2210 </div><!-- contents -->
2211 </div><!-- doc-content -->
2212 <!-- start footer part -->
2213 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
2215 <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>
2216 <li class="footer">Generated on Thu Feb 22 2018 15:45:25 for Compute Library by
2217 <a href="http://www.doxygen.org/index.html">
2218 <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.11 </li>