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| |
| <p>Store the tensor's metadata. |
| <a href="classarm__compute_1_1_tensor_info.xhtml#details">More...</a></p> |
| |
| <p><code>#include <<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>></code></p> |
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| Collaboration diagram for TensorInfo:</div> |
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| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="pub-methods"></a> |
| Public Member Functions</h2></td></tr> |
| <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> |
| <tr class="memdesc:a21c2ae9fa438faf42669dadda628080c"><td class="mdescLeft"> </td><td class="mdescRight">Default constructor. <a href="#a21c2ae9fa438faf42669dadda628080c">More...</a><br/></td></tr> |
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| <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> |
| <tr class="memdesc:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="mdescLeft"> </td><td class="mdescRight">Default destructor. <a href="#a4eb5913c3ce5fe2bcbaafd8c9224d384">More...</a><br/></td></tr> |
| <tr class="separator:a4eb5913c3ce5fe2bcbaafd8c9224d384"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a57911f186d22f552382d39010c09097d"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
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| <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> |
| <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> |
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| <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> |
| <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> |
| <tr class="separator:a134dfebc14c0e971f8df850846764f8e"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a532c27f6bf3cd9275cb7fc9a0d0bbf6e"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a6762d60a00d7d09087ea5cb41d4392a8"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:ac307dc31ce68e3cf1273ffbc86e57646"><td class="mdescLeft"> </td><td class="mdescRight">2D tensor constructor <a href="#ac307dc31ce68e3cf1273ffbc86e57646">More...</a><br/></td></tr> |
| <tr class="separator:ac307dc31ce68e3cf1273ffbc86e57646"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a9fa5acc4d8fd911b9b2fece99d3d5a8d">More...</a><br/></td></tr> |
| <tr class="separator:a9fa5acc4d8fd911b9b2fece99d3d5a8d"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a548b5b5c72f04c581933670098a1050f"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#a95aaadcca549fc310c8e6dddb2ab78d7">More...</a><br/></td></tr> |
| <tr class="separator:a95aaadcca549fc310c8e6dddb2ab78d7"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:ad3e249a7d8f329aa470d6903c9e415fe"><td class="mdescLeft"> </td><td class="mdescRight">Constructor. <a href="#ad3e249a7d8f329aa470d6903c9e415fe">More...</a><br/></td></tr> |
| <tr class="separator:ad3e249a7d8f329aa470d6903c9e415fe"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ad6b64f33be1e66dcf7612483ffb8fd63"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a0ae7d318c02e56a3daa9e5e4f9dab117"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ad4b6171ddcf854de5d1226cd4d0b0439"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:aa4d75a4cba474685a8a6fa2ea97b2505"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ad535a8a10fae9fca925ae45c7931b9d6"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ab12220b6863064c5dd4742fd0f3f0080"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a4eaa68a1707f4ff3983c6dddd21794ea"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a4b7391b7025befbe44b743723feb4a9b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a316bb82020031b46ad452a7ad0d4b461"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a9a30265f100a459de985a9f3f91db76c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab499d647cc2a22dbd8bd21e39eb2aa58"><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#ab499d647cc2a22dbd8bd21e39eb2aa58">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> |
| <tr class="memdesc:ab499d647cc2a22dbd8bd21e39eb2aa58"><td class="mdescLeft"> </td><td class="mdescRight">Set the data type to the specified value. <a href="#ab499d647cc2a22dbd8bd21e39eb2aa58">More...</a><br/></td></tr> |
| <tr class="separator:ab499d647cc2a22dbd8bd21e39eb2aa58"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a8fe01e461d1783bda8f489983e3434fd"><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#a8fe01e461d1783bda8f489983e3434fd">set_num_channels</a> (int <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a6f13b974eeb528acde66de8d9b3fd95c">num_channels</a>) override</td></tr> |
| <tr class="memdesc:a8fe01e461d1783bda8f489983e3434fd"><td class="mdescLeft"> </td><td class="mdescRight">Set the number of channels to the specified value. <a href="#a8fe01e461d1783bda8f489983e3434fd">More...</a><br/></td></tr> |
| <tr class="separator:a8fe01e461d1783bda8f489983e3434fd"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a76960ce9a9ccefb3f2f059edf360490d"><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#a76960ce9a9ccefb3f2f059edf360490d">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> |
| <tr class="memdesc:a76960ce9a9ccefb3f2f059edf360490d"><td class="mdescLeft"> </td><td class="mdescRight">Set the format of an already initialized tensor. <a href="#a76960ce9a9ccefb3f2f059edf360490d">More...</a><br/></td></tr> |
| <tr class="separator:a76960ce9a9ccefb3f2f059edf360490d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5307618c5f15c917ef703324ea2c02af"><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#a5307618c5f15c917ef703324ea2c02af">set_tensor_shape</a> (<a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> shape) override</td></tr> |
| <tr class="memdesc:a5307618c5f15c917ef703324ea2c02af"><td class="mdescLeft"> </td><td class="mdescRight">Set the shape of an already initialized tensor. <a href="#a5307618c5f15c917ef703324ea2c02af">More...</a><br/></td></tr> |
| <tr class="separator:a5307618c5f15c917ef703324ea2c02af"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a5221aaaad21f278619a8420bea680cf6"><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#a5221aaaad21f278619a8420bea680cf6">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> |
| <tr class="memdesc:a5221aaaad21f278619a8420bea680cf6"><td class="mdescLeft"> </td><td class="mdescRight">Set the fixed point position to the specified value. <a href="#a5221aaaad21f278619a8420bea680cf6">More...</a><br/></td></tr> |
| <tr class="separator:a5221aaaad21f278619a8420bea680cf6"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a907f837b924945ad1981c8fe8eca61e4"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:af53d8203ecc37896ca4579d1ee3fdffc"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a8813441b655b97c00139c6a5a6390e97"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a5f1ca9d674346287cae57a6c5b5c24ec"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:ab54246abe670b06f5624add7e7022904"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a147790358ccd40f61dcd618cd4edd688"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a35ccf2eb0c18a15feab2db98b307b78b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a62b67b578f684c4d516843c9dea86a23"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a13622133d9b41900a6a3e8f89e59a78b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a6f13b974eeb528acde66de8d9b3fd95c"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a269b19ce3f357ac65f41f9951906e38e"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:a9a3e72153aeb3ed212e9c3698774e881"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="mdescLeft"> </td><td class="mdescRight">Colour format of the image. <a href="#ac4b36cc1e56b0b7e579bb4b7196490db">More...</a><br/></td></tr> |
| <tr class="separator:ac4b36cc1e56b0b7e579bb4b7196490db"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:af398466b602a02b42d8df19fb66a6c60"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:a79e20eacb1e963e24a21ebd7369effd7"><td class="mdescLeft"> </td><td class="mdescRight">Padding of tensor. <a href="#a79e20eacb1e963e24a21ebd7369effd7">More...</a><br/></td></tr> |
| <tr class="separator:a79e20eacb1e963e24a21ebd7369effd7"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:aa2ca251f99c56767719e991a26371603"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <tr class="separator:aaee6555ace43b03173844b1a228a3fc3"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a64843bb449deed5b6d5c83e8bc94b9c5"><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#a64843bb449deed5b6d5c83e8bc94b9c5">set_is_resizable</a> (bool <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>) override</td></tr> |
| <tr class="memdesc:a64843bb449deed5b6d5c83e8bc94b9c5"><td class="mdescLeft"> </td><td class="mdescRight">Set the flag whether the tensor size can be changed. <a href="#a64843bb449deed5b6d5c83e8bc94b9c5">More...</a><br/></td></tr> |
| <tr class="separator:a64843bb449deed5b6d5c83e8bc94b9c5"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <tr class="memdesc:a3c20d908342087484d883574d55dd482"><td class="mdescLeft"> </td><td class="mdescRight">Valid region of the tensor. <a href="#a3c20d908342087484d883574d55dd482">More...</a><br/></td></tr> |
| <tr class="separator:a3c20d908342087484d883574d55dd482"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0cbba4e45a4a1e389606493af3814415"><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#a0cbba4e45a4a1e389606493af3814415">set_valid_region</a> (<a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>) override</td></tr> |
| <tr class="memdesc:a0cbba4e45a4a1e389606493af3814415"><td class="mdescLeft"> </td><td class="mdescRight">Set the valid region of the tensor. <a href="#a0cbba4e45a4a1e389606493af3814415">More...</a><br/></td></tr> |
| <tr class="separator:a0cbba4e45a4a1e389606493af3814415"><td class="memSeparator" colspan="2"> </td></tr> |
| <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> |
| <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> |
| <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> |
| <tr class="separator:ad998b50febf68540277e121a9c670bfa inherit pub_methods_classarm__compute_1_1_i_tensor_info"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <a name="details" id="details"></a><h2 class="groupheader">Detailed Description</h2> |
| <div class="textblock"><p>Store the tensor's metadata. </p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00042">42</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| </div><h2 class="groupheader">Constructor & Destructor Documentation</h2> |
| <a class="anchor" id="a21c2ae9fa438faf42669dadda628080c"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default constructor. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a4eb5913c3ce5fe2bcbaafd8c9224d384"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">~<a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Default destructor. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a57911f186d22f552382d39010c09097d"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml">ITensorInfo</a> & </td> |
| <td class="paramname"><em>info</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be copy constructed. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a494e9aa78ff5dde1788e0f9a8ba2213a"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be copy constructed. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a134dfebc14c0e971f8df850846764f8e"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be move constructed. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a6762d60a00d7d09087ea5cb41d4392a8"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Construct a tensor info with a format. </p> |
| <p>Can be used for automatic derivation of the shape by the function.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ac307dc31ce68e3cf1273ffbc86e57646"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>2D tensor constructor </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">width</td><td>Width of the 2D tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">height</td><td>Height of the 2D tensor </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9fa5acc4d8fd911b9b2fece99d3d5a8d"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a548b5b5c72f04c581933670098a1050f"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Construct a tensor info with a data type and number of channels. </p> |
| <p>Can be used for automatic derivation of the shape by the function.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a95aaadcca549fc310c8e6dddb2ab78d7"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ad3e249a7d8f329aa470d6903c9e415fe"></a> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td> |
| <td class="paramname"><em>hog_info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Constructor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Member Function Documentation</h2> |
| <a class="anchor" id="a907f837b924945ad1981c8fe8eca61e4"></a> |
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| <td class="memname">bool auto_padding </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Update the offset to the first element and the strides to automatically computed values. </p> |
| <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> |
| <dl class="section return"><dt>Returns</dt><dd>True if the strides or the offset to the first element have changed. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9a3e72153aeb3ed212e9c3698774e881"></a> |
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| <tr> |
| <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> data_type </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Data type used for each element of the tensor. </p> |
| <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> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7cfb31af63202568efef5214acfbf3ba">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00104">CLAccessor::data_type()</a>.</p> |
| <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> _data_type;</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a8813441b655b97c00139c6a5a6390e97"></a> |
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| <td class="mlabels-left"> |
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| <td class="memname">size_t dimension </td> |
| <td>(</td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>index</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Return the size of the requested dimension. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">index</td><td>Index of the dimension</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Dimension of the requested dimension </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a178f0d3d87f959e00a743328d95359d2">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00210">210</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| |
| <p>Referenced by <a class="el" href="cl__events_8cpp_source.xhtml#l00036">main_cl_events()</a>, and <a class="el" href="neoncl__scale__median__gaussian_8cpp_source.xhtml#l00042">main_neoncl_scale_median_gaussian()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  {</div> |
| <div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="keywordflow">return</span> _tensor_shape[index];</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a62b67b578f684c4d516843c9dea86a23"></a> |
| <div class="memitem"> |
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| <table class="mlabels"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">size_t element_size </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| <dl class="section return"><dt>Returns</dt><dd>The size of one element in bytes </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aa459796b5489eca8a9160cb5dcf1a103">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00227">227</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| |
| <p>References <a class="el" href="arm__compute_2core_2_utils_8h_source.xhtml#l00088">arm_compute::data_size_from_type()</a>.</p> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00089">CLAccessor::element_size()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  {</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</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="l00230"></a><span class="lineno"> 230</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#l00088">Utils.h:88</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
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| <td class="memname">bool extend_padding </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> & </td> |
| <td class="paramname"><em>padding</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Update the offset to the first element, the strides and the total size. </p> |
| <dl class="section note"><dt>Note</dt><dd>This function can only increase the offset, strides and total size.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>Padding around the XY plane in number of elements.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>True if the strides, offset and total size have changed. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a0cd5aea514f03afb48ebe22581ea4c66">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a35ccf2eb0c18a15feab2db98b307b78b"></a> |
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| <td class="memname">int fixed_point_position </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Fixed point position used when the tensor data type is QS8 or QS16. </p> |
| <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> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ab21a362740e892b6e913bd8db03b0e67">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00223">223</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00124">CLAccessor::fixed_point_position()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  {</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  <span class="keywordflow">return</span> _fixed_point_position;</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="ac4b36cc1e56b0b7e579bb4b7196490db"></a> |
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| <td class="memname"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> format </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Colour format of the image. </p> |
| <dl class="section return"><dt>Returns</dt><dd>Colour format of the image </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a57360dd9ca408834c0ea1a8ef70a11f4">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00099">CLAccessor::format()</a>.</p> |
| <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> _format;</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  }</div> |
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| </div> |
| </div> |
| <a class="anchor" id="aa2ca251f99c56767719e991a26371603"></a> |
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| <td class="mlabels-left"> |
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| <td class="memname">bool has_padding </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Checks if the tensor has been allocated with padding or not. </p> |
| <dl class="section return"><dt>Returns</dt><dd>True if padding is allocated in the tensor, otherwise false. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ac394d6570ab3325810a3532d39091a52">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>References <a class="el" href="arm__compute_2core_2_types_8h_source.xhtml#l00163">BorderSize::empty()</a>.</p> |
| <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> !_padding.<a class="code" href="structarm__compute_1_1_border_size.xhtml#adffbf97e7b8b64e7cf32f0254cddf3c4">empty</a>();</div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</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#l00163">Types.h:163</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
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| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the tensor info with just a format. </p> |
| <p>Can be used for automatic derivation of the shape by the function.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a0ae7d318c02e56a3daa9e5e4f9dab117"></a> |
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| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure with the given parameters. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ad4b6171ddcf854de5d1226cd4d0b0439"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> & </td> |
| <td class="paramname"><em>strides_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>total_size_in_bytes</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure with the given parameters. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the tensor. </td></tr> |
| <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> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aa4d75a4cba474685a8a6fa2ea97b2505"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the tensor info with just a format. </p> |
| <p>Can be used for automatic derivation of the shape by the function.</p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ad535a8a10fae9fca925ae45c7931b9d6"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure with the given parameters. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ab12220b6863064c5dd4742fd0f3f0080"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a> & </td> |
| <td class="paramname"><em>strides_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>offset_first_element_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>total_size_in_bytes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure with the given parameters. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>Desired number of channels for each tensor element. </td></tr> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element. </td></tr> |
| <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> |
| <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> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a4eaa68a1707f4ff3983c6dddd21794ea"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void init </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td> |
| <td class="paramname"><em>hog_info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a4b7391b7025befbe44b743723feb4a9b"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">size_t init_auto_padding </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure for the given tensor shape and single-plane format, (Padding is automatically calculated) </p> |
| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single plane format of the image.</td></tr> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a316bb82020031b46ad452a7ad0d4b461"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">size_t init_auto_padding </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> & </td> |
| <td class="paramname"><em>tensor_shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>num_channels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Initialize the metadata structure for the given tensor shape, number of channels, data type and fixed point position. </p> |
| <p>(Padding is automatically calculated)</p> |
| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>Data type to use for each tensor element </td></tr> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>Total allocation size including padding in bytes. </dd></dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a9a30265f100a459de985a9f3f91db76c"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">size_t init_auto_padding </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_h_o_g_info.xhtml">HOGInfo</a> & </td> |
| <td class="paramname"><em>hog_info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| <dl class="section note"><dt>Note</dt><dd>init_auto_padding will be used for the tensor initialization.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| <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> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| </div> |
| </div> |
| <a class="anchor" id="aaee6555ace43b03173844b1a228a3fc3"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool is_resizable </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Flag indicating whether the size of the tensor can be changed. </p> |
| <dl class="section return"><dt>Returns</dt><dd>True if the tensor size can be changed. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#af555338f11d1d28f258f259ac3da743b">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00064">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="_tensor_info_8h_source.xhtml#l00267">TensorInfo::set_is_resizable()</a>.</p> |
| <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> _is_resizable;</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a6f13b974eeb528acde66de8d9b3fd95c"></a> |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="mlabels"> |
| <tr> |
| <td class="mlabels-left"> |
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| <td class="memname">size_t num_channels </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| </div><div class="memdoc"> |
| |
| <p>The number of channels for each tensor element. </p> |
| <dl class="section return"><dt>Returns</dt><dd>The number of channels for each tensor element </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad7829ae79223ab87f9da4c0bd7d229ba">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00235">235</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00109">CLAccessor::num_channels()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  {</div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">return</span> _num_channels;</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a13622133d9b41900a6a3e8f89e59a78b"></a> |
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| <td class="mlabels-left"> |
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| <td class="memname">size_t num_dimensions </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>The number of dimensions of the tensor (rank) </p> |
| <dl class="section return"><dt>Returns</dt><dd>The number of dimensions of the tensor (rank) </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a1f4e725b8e1ea36b30e09dc08ae6961d">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00231">231</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| |
| <p>References <a class="el" href="_dimensions_8h_source.xhtml#l00109">Dimensions< T >::num_dimensions()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  {</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</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="l00234"></a><span class="lineno"> 234</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#l00109">Dimensions.h:109</a></div></div> |
| </div><!-- fragment --> |
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| <a class="anchor" id="a147790358ccd40f61dcd618cd4edd688"></a> |
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| <td class="memname">size_t offset_element_in_bytes </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_coordinates.xhtml">Coordinates</a> & </td> |
| <td class="paramname"><em>pos</em></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>The offset in bytes from the beginning of the memory allocation to access the element at position (x, y, z ...) </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| <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> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a8a5312c9a822d27a3b38dc238c1c7de3">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="ab54246abe670b06f5624add7e7022904"></a> |
| <div class="memitem"> |
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| <td class="mlabels-left"> |
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| <td class="memname">size_t offset_first_element_in_bytes </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>The offset from the beginning of the memory allocation to the first element of the tensor. </p> |
| <p>This can be used to access efficiently elements in a 2D tensor</p> |
| <dl class="section return"><dt>Returns</dt><dd>The offset in bytes to access the first element of the tensor. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ad0bd5cc32e7e4c0699eccba91e5de397">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00218">218</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  {</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">return</span> _offset_first_element_in_bytes;</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="adcf156ba30ff118c28690671e83ea06b"></a> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> & </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be copied. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a532c27f6bf3cd9275cb7fc9a0d0bbf6e"></a> |
| <div class="memitem"> |
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| <td class="mlabels-left"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a>& operator= </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_info.xhtml">TensorInfo</a> && </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">default</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Allow instances of this class to be moved. </p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a79e20eacb1e963e24a21ebd7369effd7"></a> |
| <div class="memitem"> |
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| <td class="memname"><a class="el" href="namespacearm__compute.xhtml#a4467b302fc9ec312c40580336ab783da">PaddingSize</a> padding </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Padding of tensor. </p> |
| <dl class="section return"><dt>Returns</dt><dd>Padding. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a07b929c34ad1dc823d8315876aa403ce">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="_c_l_2_bitwise_and_8cpp_source.xhtml#l00046">arm_compute::test::validation::DATA_TEST_CASE()</a>, and <a class="el" href="_c_l_accessor_8h_source.xhtml#l00119">CLAccessor::padding()</a>.</p> |
| <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> _padding;</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="ab499d647cc2a22dbd8bd21e39eb2aa58"></a> |
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| <td class="memname">void set_data_type </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>data_type</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the data type to the specified value. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">data_type</td><td>The new data type. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4b622a0346ec30baf0b9a387e00c9ace">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a5221aaaad21f278619a8420bea680cf6"></a> |
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| <td class="mlabels-left"> |
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| <td class="memname">void set_fixed_point_position </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>fixed_point_position</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the fixed point position to the specified value. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>The fixed point position must be set once the data type has been configured</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">fixed_point_position</td><td>The new fixed point position </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#aec2c125ece3cc6593a0be7f1fef3d97f">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a76960ce9a9ccefb3f2f059edf360490d"></a> |
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| <td class="memname">void set_format </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearm__compute.xhtml#ab4e88c89b3b7ea1735996cc4def22d58">Format</a> </td> |
| <td class="paramname"><em>format</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the format of an already initialized tensor. </p> |
| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">format</td><td>Single-plane format of the tensor. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a43bf980bc1ac27efa062386baa506380">ITensorInfo</a>.</p> |
| |
| <p>Referenced by <a class="el" href="_c_l_2_harris_corners_8cpp_source.xhtml#l00057">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a64843bb449deed5b6d5c83e8bc94b9c5"></a> |
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| <td class="memname">void set_is_resizable </td> |
| <td>(</td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>is_resizable</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the flag whether the tensor size can be changed. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <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> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#afc2a8e64645655d3bb8f37003c27a7ea">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>References <a class="el" href="_tensor_info_8h_source.xhtml#l00263">TensorInfo::is_resizable()</a>.</p> |
| <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>  _is_resizable = <a class="code" href="classarm__compute_1_1_tensor_info.xhtml#aaee6555ace43b03173844b1a228a3fc3">is_resizable</a>;</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</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#l00263">TensorInfo.h:263</a></div></div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a class="anchor" id="a8fe01e461d1783bda8f489983e3434fd"></a> |
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| <td class="mlabels-left"> |
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| <td class="memname">void set_num_channels </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>num_channels</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the number of channels to the specified value. </p> |
| <dl class="section warning"><dt>Warning</dt><dd>This resets the format to UNKNOWN.</dd></dl> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">num_channels</td><td>New number of channels. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#ae05139a48d9360e44f5ef2eef64b23ec">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a5307618c5f15c917ef703324ea2c02af"></a> |
| <div class="memitem"> |
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| <td class="mlabels-left"> |
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| <td class="memname">void set_tensor_shape </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a> </td> |
| <td class="paramname"><em>shape</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Set the shape of an already initialized tensor. </p> |
| <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> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">shape</td><td>New tensor shape. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a40deec9ef7e7c892bef6b11b4d81c38e">ITensorInfo</a>.</p> |
| |
| </div> |
| </div> |
| <a class="anchor" id="a0cbba4e45a4a1e389606493af3814415"></a> |
| <div class="memitem"> |
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| <td class="memname">void set_valid_region </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> </td> |
| <td class="paramname"><em>valid_region</em></td><td>)</td> |
| <td></td> |
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| <p>Set the valid region of the tensor. </p> |
| <dl class="params"><dt>Parameters</dt><dd> |
| <table class="params"> |
| <tr><td class="paramdir">[in]</td><td class="paramname">valid_region</td><td>Valid region to set. </td></tr> |
| </table> |
| </dd> |
| </dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#acea00276098762fd0e83a3c25d9f88cb">ITensorInfo</a>.</p> |
| |
| <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> |
| <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>  _valid_region = std::move(<a class="code" href="classarm__compute_1_1_tensor_info.xhtml#a3c20d908342087484d883574d55dd482">valid_region</a>);</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</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#l00271">TensorInfo.h:271</a></div></div> |
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| <td class="memname">const <a class="el" href="classarm__compute_1_1_strides.xhtml">Strides</a>& strides_in_bytes </td> |
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| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>The strides in bytes for accessing each dimension of the tensor. </p> |
| <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> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a6b14f175bf5281f57b561e2d4e4b1f1f">ITensorInfo</a>.</p> |
| |
| <p>Definition at line <a class="el" href="_tensor_info_8h_source.xhtml#l00214">214</a> of file <a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  {</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keywordflow">return</span> _strides_in_bytes;</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  }</div> |
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| <td class="memname">const <a class="el" href="classarm__compute_1_1_tensor_shape.xhtml">TensorShape</a>& tensor_shape </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
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| <p>Size for each dimension of the tensor. </p> |
| <dl class="section return"><dt>Returns</dt><dd>A vector with the size for each dimension of the tensor </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a7c66505457d00ece3aa4b34cab80757d">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00114">CLAccessor::num_elements()</a>, and <a class="el" href="_c_l_accessor_8h_source.xhtml#l00084">CLAccessor::shape()</a>.</p> |
| <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> _tensor_shape;</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  }</div> |
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| <td class="memname">size_t total_size </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
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| <p>Returns the total size of the tensor in bytes. </p> |
| <dl class="section return"><dt>Returns</dt><dd>Total size of the tensor in bytes. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a18064e0011c3869d884653e9e7c47b66">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="_c_l_accessor_8h_source.xhtml#l00094">CLAccessor::size()</a>.</p> |
| <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> _total_size;</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  }</div> |
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| <td class="memname"><a class="el" href="structarm__compute_1_1_valid_region.xhtml">ValidRegion</a> valid_region </td> |
| <td>(</td> |
| <td class="paramname"></td><td>)</td> |
| <td> const</td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span><span class="mlabel">override</span><span class="mlabel">virtual</span></span> </td> |
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| |
| <p>Valid region of the tensor. </p> |
| <p>All elements in the valid region have defined values, i.e. are not undefined.</p> |
| <dl class="section return"><dt>Returns</dt><dd>The valid region. </dd></dl> |
| |
| <p>Implements <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a74dfd07380a290c34fe7c8e065029b95">ITensorInfo</a>.</p> |
| |
| <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> |
| |
| <p>Referenced by <a class="el" href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00064">arm_compute::test::validation::DATA_TEST_CASE()</a>.</p> |
| <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> _valid_region;</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  }</div> |
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| </div> |
| </div> |
| <hr/>The documentation for this class was generated from the following file:<ul> |
| <li>arm_compute/core/<a class="el" href="_tensor_info_8h_source.xhtml">TensorInfo.h</a></li> |
| </ul> |
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