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    113. 

  113. <div class="title">Concatenation Functions<div class="ingroups"><a class="el" href="group__groupNN.html">Neural Network Functions</a></div></div>  </div>
    114. 

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    115. 

  115. <div class="contents">
    116. 

  116. <table class="memberdecls">
    117. 

  117. <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
    118. 

  118. Functions</h2></td></tr>
    119. 

  119. <tr class="memitem:gaf2ec7d439726caa96e0b3dc989b34d64"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Concatenation.html#gaf2ec7d439726caa96e0b3dc989b34d64">arm_concatenation_s8_w</a> (const int8_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_z, const uint16_t input_w, int8_t *output, const uint32_t offset_w)</td></tr>
    120. 

  120. <tr class="memdesc:gaf2ec7d439726caa96e0b3dc989b34d64"><td class="mdescLeft">&#160;</td><td class="mdescRight">int8/uint8 concatenation function to be used for concatenating N-tensors along the W axis (Batch size) This function should be called for each input tensor to concatenate. The argument offset_w will be used to store the input tensor in the correct position in the output tensor  <a href="#gaf2ec7d439726caa96e0b3dc989b34d64">More...</a><br/></td></tr>
    121. 

  121. <tr class="separator:gaf2ec7d439726caa96e0b3dc989b34d64"><td class="memSeparator" colspan="2">&#160;</td></tr>
    122. 

  122. <tr class="memitem:gac06ac3c87cad1cfb14aa24b19124fcfd"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Concatenation.html#gac06ac3c87cad1cfb14aa24b19124fcfd">arm_concatenation_s8_x</a> (const int8_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_z, const uint16_t input_w, int8_t *output, const uint16_t output_x, const uint32_t offset_x)</td></tr>
    123. 

  123. <tr class="memdesc:gac06ac3c87cad1cfb14aa24b19124fcfd"><td class="mdescLeft">&#160;</td><td class="mdescRight">int8/uint8 concatenation function to be used for concatenating N-tensors along the X axis This function should be called for each input tensor to concatenate. The argument offset_x will be used to store the input tensor in the correct position in the output tensor  <a href="#gac06ac3c87cad1cfb14aa24b19124fcfd">More...</a><br/></td></tr>
    124. 

  124. <tr class="separator:gac06ac3c87cad1cfb14aa24b19124fcfd"><td class="memSeparator" colspan="2">&#160;</td></tr>
    125. 

  125. <tr class="memitem:gaf0b76b039f66f34ec99503193a015ff6"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Concatenation.html#gaf0b76b039f66f34ec99503193a015ff6">arm_concatenation_s8_y</a> (const int8_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_z, const uint16_t input_w, int8_t *output, const uint16_t output_y, const uint32_t offset_y)</td></tr>
    126. 

  126. <tr class="memdesc:gaf0b76b039f66f34ec99503193a015ff6"><td class="mdescLeft">&#160;</td><td class="mdescRight">int8/uint8 concatenation function to be used for concatenating N-tensors along the Y axis This function should be called for each input tensor to concatenate. The argument offset_y will be used to store the input tensor in the correct position in the output tensor  <a href="#gaf0b76b039f66f34ec99503193a015ff6">More...</a><br/></td></tr>
    127. 

  127. <tr class="separator:gaf0b76b039f66f34ec99503193a015ff6"><td class="memSeparator" colspan="2">&#160;</td></tr>
    128. 

  128. <tr class="memitem:ga9ae180a44e18ee58936dba1e0564560b"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__Concatenation.html#ga9ae180a44e18ee58936dba1e0564560b">arm_concatenation_s8_z</a> (const int8_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_z, const uint16_t input_w, int8_t *output, const uint16_t output_z, const uint32_t offset_z)</td></tr>
    129. 

  129. <tr class="memdesc:ga9ae180a44e18ee58936dba1e0564560b"><td class="mdescLeft">&#160;</td><td class="mdescRight">int8/uint8 concatenation function to be used for concatenating N-tensors along the Z axis This function should be called for each input tensor to concatenate. The argument offset_z will be used to store the input tensor in the correct position in the output tensor  <a href="#ga9ae180a44e18ee58936dba1e0564560b">More...</a><br/></td></tr>
    130. 

  130. <tr class="separator:ga9ae180a44e18ee58936dba1e0564560b"><td class="memSeparator" colspan="2">&#160;</td></tr>
    131. 

  131. </table>
    132. 

  132. <a name="details" id="details"></a><h2 class="groupheader">Description</h2>
    133. 

  133. <h2 class="groupheader">Function Documentation</h2>
    134. 

  134. <a class="anchor" id="gaf2ec7d439726caa96e0b3dc989b34d64"></a>
    135. 

  135. <div class="memitem">
    136. 

  136. <div class="memproto">
    137. 

  137.       <table class="memname">
    138. 

  138.         <tr>
    139. 

  139.           <td class="memname">void arm_concatenation_s8_w </td>
    140. 

  140.           <td>(</td>
    141. 

  141.           <td class="paramtype">const int8_t *&#160;</td>
    142. 

  142.           <td class="paramname"><em>input</em>, </td>
    143. 

  143.         </tr>
    144. 

  144.         <tr>
    145. 

  145.           <td class="paramkey"></td>
    146. 

  146.           <td></td>
    147. 

  147.           <td class="paramtype">const uint16_t&#160;</td>
    148. 

  148.           <td class="paramname"><em>input_x</em>, </td>
    149. 

  149.         </tr>
    150. 

  150.         <tr>
    151. 

  151.           <td class="paramkey"></td>
    152. 

  152.           <td></td>
    153. 

  153.           <td class="paramtype">const uint16_t&#160;</td>
    154. 

  154.           <td class="paramname"><em>input_y</em>, </td>
    155. 

  155.         </tr>
    156. 

  156.         <tr>
    157. 

  157.           <td class="paramkey"></td>
    158. 

  158.           <td></td>
    159. 

  159.           <td class="paramtype">const uint16_t&#160;</td>
    160. 

  160.           <td class="paramname"><em>input_z</em>, </td>
    161. 

  161.         </tr>
    162. 

  162.         <tr>
    163. 

  163.           <td class="paramkey"></td>
    164. 

  164.           <td></td>
    165. 

  165.           <td class="paramtype">const uint16_t&#160;</td>
    166. 

  166.           <td class="paramname"><em>input_w</em>, </td>
    167. 

  167.         </tr>
    168. 

  168.         <tr>
    169. 

  169.           <td class="paramkey"></td>
    170. 

  170.           <td></td>
    171. 

  171.           <td class="paramtype">int8_t *&#160;</td>
    172. 

  172.           <td class="paramname"><em>output</em>, </td>
    173. 

  173.         </tr>
    174. 

  174.         <tr>
    175. 

  175.           <td class="paramkey"></td>
    176. 

  176.           <td></td>
    177. 

  177.           <td class="paramtype">const uint32_t&#160;</td>
    178. 

  178.           <td class="paramname"><em>offset_w</em>&#160;</td>
    179. 

  179.         </tr>
    180. 

  180.         <tr>
    181. 

  181.           <td></td>
    182. 

  182.           <td>)</td>
    183. 

  183.           <td></td><td></td>
    184. 

  184.         </tr>
    185. 

  185.       </table>
    186. 

  186. </div><div class="memdoc">
    187. 

  187. <p>i.e. offset_w = 0 for(i = 0 i &lt; num_input_tensors; ++i) { arm_concatenation_s8_w(&amp;input[i], ..., &amp;output, ..., ..., offset_w) offset_w += input_w[i] }</p>
    188. 

  188. <p>This function assumes that the output tensor has:</p>
    189. 

  189. <ol type="1">
    190. 

  190. <li>The same width of the input tensor</li>
    191. 

  191. <li>The same height of the input tensor</li>
    192. 

  192. <li>The same number o channels of the input tensor</li>
    193. 

  193. </ol>
    194. 

  194. <p>Unless specified otherwise, arguments are mandatory.</p>
    195. 

  195. <dl class="section note"><dt>Note</dt><dd>This function, data layout independent, can be used to concatenate either int8 or uint8 tensors because does not involve any arithmetic operation</dd></dl>
    196. 

  196. <dl class="params"><dt>Parameters</dt><dd>
    197. 

  197.   <table class="params">
    198. 

  198.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Pointer to input tensor </td></tr>
    199. 

  199.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>Width of input tensor </td></tr>
    200. 

  200.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>Height of input tensor </td></tr>
    201. 

  201.     <tr><td class="paramdir">[in]</td><td class="paramname">input_z</td><td>Channels in input tensor </td></tr>
    202. 

  202.     <tr><td class="paramdir">[in]</td><td class="paramname">input_w</td><td>Batch size in input tensor </td></tr>
    203. 

  203.     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Pointer to output tensor </td></tr>
    204. 

  204.     <tr><td class="paramdir">[in]</td><td class="paramname">offset_w</td><td>The offset on the W axis to start concatenating the input tensor It is user responsibility to provide the correct value </td></tr>
    205. 

  205.   </table>
    206. 

  206.   </dd>
    207. 

  207. </dl>
    208. 

  208. 

  209. </div>
    210. 

  210. </div>
    211. 

  211. <a class="anchor" id="gac06ac3c87cad1cfb14aa24b19124fcfd"></a>
    212. 

  212. <div class="memitem">
    213. 

  213. <div class="memproto">
    214. 

  214.       <table class="memname">
    215. 

  215.         <tr>
    216. 

  216.           <td class="memname">void arm_concatenation_s8_x </td>
    217. 

  217.           <td>(</td>
    218. 

  218.           <td class="paramtype">const int8_t *&#160;</td>
    219. 

  219.           <td class="paramname"><em>input</em>, </td>
    220. 

  220.         </tr>
    221. 

  221.         <tr>
    222. 

  222.           <td class="paramkey"></td>
    223. 

  223.           <td></td>
    224. 

  224.           <td class="paramtype">const uint16_t&#160;</td>
    225. 

  225.           <td class="paramname"><em>input_x</em>, </td>
    226. 

  226.         </tr>
    227. 

  227.         <tr>
    228. 

  228.           <td class="paramkey"></td>
    229. 

  229.           <td></td>
    230. 

  230.           <td class="paramtype">const uint16_t&#160;</td>
    231. 

  231.           <td class="paramname"><em>input_y</em>, </td>
    232. 

  232.         </tr>
    233. 

  233.         <tr>
    234. 

  234.           <td class="paramkey"></td>
    235. 

  235.           <td></td>
    236. 

  236.           <td class="paramtype">const uint16_t&#160;</td>
    237. 

  237.           <td class="paramname"><em>input_z</em>, </td>
    238. 

  238.         </tr>
    239. 

  239.         <tr>
    240. 

  240.           <td class="paramkey"></td>
    241. 

  241.           <td></td>
    242. 

  242.           <td class="paramtype">const uint16_t&#160;</td>
    243. 

  243.           <td class="paramname"><em>input_w</em>, </td>
    244. 

  244.         </tr>
    245. 

  245.         <tr>
    246. 

  246.           <td class="paramkey"></td>
    247. 

  247.           <td></td>
    248. 

  248.           <td class="paramtype">int8_t *&#160;</td>
    249. 

  249.           <td class="paramname"><em>output</em>, </td>
    250. 

  250.         </tr>
    251. 

  251.         <tr>
    252. 

  252.           <td class="paramkey"></td>
    253. 

  253.           <td></td>
    254. 

  254.           <td class="paramtype">const uint16_t&#160;</td>
    255. 

  255.           <td class="paramname"><em>output_x</em>, </td>
    256. 

  256.         </tr>
    257. 

  257.         <tr>
    258. 

  258.           <td class="paramkey"></td>
    259. 

  259.           <td></td>
    260. 

  260.           <td class="paramtype">const uint32_t&#160;</td>
    261. 

  261.           <td class="paramname"><em>offset_x</em>&#160;</td>
    262. 

  262.         </tr>
    263. 

  263.         <tr>
    264. 

  264.           <td></td>
    265. 

  265.           <td>)</td>
    266. 

  266.           <td></td><td></td>
    267. 

  267.         </tr>
    268. 

  268.       </table>
    269. 

  269. </div><div class="memdoc">
    270. 

  270. <p>i.e. offset_x = 0 for(i = 0 i &lt; num_input_tensors; ++i) { arm_concatenation_s8_x(&amp;input[i], ..., &amp;output, ..., ..., offset_x) offset_x += input_x[i] }</p>
    271. 

  271. <p>This function assumes that the output tensor has:</p>
    272. 

  272. <ol type="1">
    273. 

  273. <li>The same height of the input tensor</li>
    274. 

  274. <li>The same number of channels of the input tensor</li>
    275. 

  275. <li>The same batch size of the input tensor</li>
    276. 

  276. </ol>
    277. 

  277. <p>Unless specified otherwise, arguments are mandatory.</p>
    278. 

  278. <dl class="section note"><dt>Note</dt><dd>This function, data layout independent, can be used to concatenate either int8 or uint8 tensors because does not involve any arithmetic operation</dd></dl>
    279. 

  279. <dl class="params"><dt>Parameters</dt><dd>
    280. 

  280.   <table class="params">
    281. 

  281.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Pointer to input tensor </td></tr>
    282. 

  282.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>Width of input tensor </td></tr>
    283. 

  283.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>Height of input tensor </td></tr>
    284. 

  284.     <tr><td class="paramdir">[in]</td><td class="paramname">input_z</td><td>Channels in input tensor </td></tr>
    285. 

  285.     <tr><td class="paramdir">[in]</td><td class="paramname">input_w</td><td>Batch size in input tensor </td></tr>
    286. 

  286.     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Pointer to output tensor </td></tr>
    287. 

  287.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>Width of output tensor </td></tr>
    288. 

  288.     <tr><td class="paramdir">[in]</td><td class="paramname">offset_x</td><td>The offset (in number of elements) on the X axis to start concatenating the input tensor It is user responsibility to provide the correct value</td></tr>
    289. 

  289.   </table>
    290. 

  290.   </dd>
    291. 

  291. </dl>
    292. 

  292. <p><b> Input constraints</b> offset_x is less than output_x </p>
    293. 

  293. 

  294. </div>
    295. 

  295. </div>
    296. 

  296. <a class="anchor" id="gaf0b76b039f66f34ec99503193a015ff6"></a>
    297. 

  297. <div class="memitem">
    298. 

  298. <div class="memproto">
    299. 

  299.       <table class="memname">
    300. 

  300.         <tr>
    301. 

  301.           <td class="memname">void arm_concatenation_s8_y </td>
    302. 

  302.           <td>(</td>
    303. 

  303.           <td class="paramtype">const int8_t *&#160;</td>
    304. 

  304.           <td class="paramname"><em>input</em>, </td>
    305. 

  305.         </tr>
    306. 

  306.         <tr>
    307. 

  307.           <td class="paramkey"></td>
    308. 

  308.           <td></td>
    309. 

  309.           <td class="paramtype">const uint16_t&#160;</td>
    310. 

  310.           <td class="paramname"><em>input_x</em>, </td>
    311. 

  311.         </tr>
    312. 

  312.         <tr>
    313. 

  313.           <td class="paramkey"></td>
    314. 

  314.           <td></td>
    315. 

  315.           <td class="paramtype">const uint16_t&#160;</td>
    316. 

  316.           <td class="paramname"><em>input_y</em>, </td>
    317. 

  317.         </tr>
    318. 

  318.         <tr>
    319. 

  319.           <td class="paramkey"></td>
    320. 

  320.           <td></td>
    321. 

  321.           <td class="paramtype">const uint16_t&#160;</td>
    322. 

  322.           <td class="paramname"><em>input_z</em>, </td>
    323. 

  323.         </tr>
    324. 

  324.         <tr>
    325. 

  325.           <td class="paramkey"></td>
    326. 

  326.           <td></td>
    327. 

  327.           <td class="paramtype">const uint16_t&#160;</td>
    328. 

  328.           <td class="paramname"><em>input_w</em>, </td>
    329. 

  329.         </tr>
    330. 

  330.         <tr>
    331. 

  331.           <td class="paramkey"></td>
    332. 

  332.           <td></td>
    333. 

  333.           <td class="paramtype">int8_t *&#160;</td>
    334. 

  334.           <td class="paramname"><em>output</em>, </td>
    335. 

  335.         </tr>
    336. 

  336.         <tr>
    337. 

  337.           <td class="paramkey"></td>
    338. 

  338.           <td></td>
    339. 

  339.           <td class="paramtype">const uint16_t&#160;</td>
    340. 

  340.           <td class="paramname"><em>output_y</em>, </td>
    341. 

  341.         </tr>
    342. 

  342.         <tr>
    343. 

  343.           <td class="paramkey"></td>
    344. 

  344.           <td></td>
    345. 

  345.           <td class="paramtype">const uint32_t&#160;</td>
    346. 

  346.           <td class="paramname"><em>offset_y</em>&#160;</td>
    347. 

  347.         </tr>
    348. 

  348.         <tr>
    349. 

  349.           <td></td>
    350. 

  350.           <td>)</td>
    351. 

  351.           <td></td><td></td>
    352. 

  352.         </tr>
    353. 

  353.       </table>
    354. 

  354. </div><div class="memdoc">
    355. 

  355. <p>i.e. offset_y = 0 for(i = 0 i &lt; num_input_tensors; ++i) { arm_concatenation_s8_y(&amp;input[i], ..., &amp;output, ..., ..., offset_y) offset_y += input_y[i] }</p>
    356. 

  356. <p>This function assumes that the output tensor has:</p>
    357. 

  357. <ol type="1">
    358. 

  358. <li>The same width of the input tensor</li>
    359. 

  359. <li>The same number of channels of the input tensor</li>
    360. 

  360. <li>The same batch size of the input tensor</li>
    361. 

  361. </ol>
    362. 

  362. <p>Unless specified otherwise, arguments are mandatory.</p>
    363. 

  363. <dl class="section note"><dt>Note</dt><dd>This function, data layout independent, can be used to concatenate either int8 or uint8 tensors because does not involve any arithmetic operation</dd></dl>
    364. 

  364. <dl class="params"><dt>Parameters</dt><dd>
    365. 

  365.   <table class="params">
    366. 

  366.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Pointer to input tensor </td></tr>
    367. 

  367.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>Width of input tensor </td></tr>
    368. 

  368.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>Height of input tensor </td></tr>
    369. 

  369.     <tr><td class="paramdir">[in]</td><td class="paramname">input_z</td><td>Channels in input tensor </td></tr>
    370. 

  370.     <tr><td class="paramdir">[in]</td><td class="paramname">input_w</td><td>Batch size in input tensor </td></tr>
    371. 

  371.     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Pointer to output tensor </td></tr>
    372. 

  372.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>Height of output tensor </td></tr>
    373. 

  373.     <tr><td class="paramdir">[in]</td><td class="paramname">offset_y</td><td>The offset on the Y axis to start concatenating the input tensor It is user responsibility to provide the correct value</td></tr>
    374. 

  374.   </table>
    375. 

  375.   </dd>
    376. 

  376. </dl>
    377. 

  377. <p><b> Input constraints</b> offset_y is less than output_y </p>
    378. 

  378. 

  379. </div>
    380. 

  380. </div>
    381. 

  381. <a class="anchor" id="ga9ae180a44e18ee58936dba1e0564560b"></a>
    382. 

  382. <div class="memitem">
    383. 

  383. <div class="memproto">
    384. 

  384.       <table class="memname">
    385. 

  385.         <tr>
    386. 

  386.           <td class="memname">void arm_concatenation_s8_z </td>
    387. 

  387.           <td>(</td>
    388. 

  388.           <td class="paramtype">const int8_t *&#160;</td>
    389. 

  389.           <td class="paramname"><em>input</em>, </td>
    390. 

  390.         </tr>
    391. 

  391.         <tr>
    392. 

  392.           <td class="paramkey"></td>
    393. 

  393.           <td></td>
    394. 

  394.           <td class="paramtype">const uint16_t&#160;</td>
    395. 

  395.           <td class="paramname"><em>input_x</em>, </td>
    396. 

  396.         </tr>
    397. 

  397.         <tr>
    398. 

  398.           <td class="paramkey"></td>
    399. 

  399.           <td></td>
    400. 

  400.           <td class="paramtype">const uint16_t&#160;</td>
    401. 

  401.           <td class="paramname"><em>input_y</em>, </td>
    402. 

  402.         </tr>
    403. 

  403.         <tr>
    404. 

  404.           <td class="paramkey"></td>
    405. 

  405.           <td></td>
    406. 

  406.           <td class="paramtype">const uint16_t&#160;</td>
    407. 

  407.           <td class="paramname"><em>input_z</em>, </td>
    408. 

  408.         </tr>
    409. 

  409.         <tr>
    410. 

  410.           <td class="paramkey"></td>
    411. 

  411.           <td></td>
    412. 

  412.           <td class="paramtype">const uint16_t&#160;</td>
    413. 

  413.           <td class="paramname"><em>input_w</em>, </td>
    414. 

  414.         </tr>
    415. 

  415.         <tr>
    416. 

  416.           <td class="paramkey"></td>
    417. 

  417.           <td></td>
    418. 

  418.           <td class="paramtype">int8_t *&#160;</td>
    419. 

  419.           <td class="paramname"><em>output</em>, </td>
    420. 

  420.         </tr>
    421. 

  421.         <tr>
    422. 

  422.           <td class="paramkey"></td>
    423. 

  423.           <td></td>
    424. 

  424.           <td class="paramtype">const uint16_t&#160;</td>
    425. 

  425.           <td class="paramname"><em>output_z</em>, </td>
    426. 

  426.         </tr>
    427. 

  427.         <tr>
    428. 

  428.           <td class="paramkey"></td>
    429. 

  429.           <td></td>
    430. 

  430.           <td class="paramtype">const uint32_t&#160;</td>
    431. 

  431.           <td class="paramname"><em>offset_z</em>&#160;</td>
    432. 

  432.         </tr>
    433. 

  433.         <tr>
    434. 

  434.           <td></td>
    435. 

  435.           <td>)</td>
    436. 

  436.           <td></td><td></td>
    437. 

  437.         </tr>
    438. 

  438.       </table>
    439. 

  439. </div><div class="memdoc">
    440. 

  440. <p>i.e. offset_z = 0 for(i = 0 i &lt; num_input_tensors; ++i) { arm_concatenation_s8_z(&amp;input[i], ..., &amp;output, ..., ..., offset_z) offset_z += input_z[i] }</p>
    441. 

  441. <p>This function assumes that the output tensor has:</p>
    442. 

  442. <ol type="1">
    443. 

  443. <li>The same width of the input tensor</li>
    444. 

  444. <li>The same height of the input tensor</li>
    445. 

  445. <li>The same batch size of the input tensor</li>
    446. 

  446. </ol>
    447. 

  447. <p>Unless specified otherwise, arguments are mandatory.</p>
    448. 

  448. <dl class="section note"><dt>Note</dt><dd>This function, data layout independent, can be used to concatenate either int8 or uint8 tensors because does not involve any arithmetic operation</dd></dl>
    449. 

  449. <dl class="params"><dt>Parameters</dt><dd>
    450. 

  450.   <table class="params">
    451. 

  451.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Pointer to input tensor </td></tr>
    452. 

  452.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>Width of input tensor </td></tr>
    453. 

  453.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>Height of input tensor </td></tr>
    454. 

  454.     <tr><td class="paramdir">[in]</td><td class="paramname">input_z</td><td>Channels in input tensor </td></tr>
    455. 

  455.     <tr><td class="paramdir">[in]</td><td class="paramname">input_w</td><td>Batch size in input tensor </td></tr>
    456. 

  456.     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>Pointer to output tensor </td></tr>
    457. 

  457.     <tr><td class="paramdir">[in]</td><td class="paramname">output_z</td><td>Channels in output tensor </td></tr>
    458. 

  458.     <tr><td class="paramdir">[in]</td><td class="paramname">offset_z</td><td>The offset on the Z axis to start concatenating the input tensor It is user responsibility to provide the correct value</td></tr>
    459. 

  459.   </table>
    460. 

  460.   </dd>
    461. 

  461. </dl>
    462. 

  462. <p><b> Input constraints</b> offset_z is less than output_z </p>
    463. 

  463. 

  464. </div>
    465. 

  465. </div>
    466. 

  466. </div><!-- contents -->
    467. 

  467. </div><!-- doc-content -->
    468. 

  468. <!-- start footer part -->
    469. 

  469. <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
    470. 

  470.   <ul>
    471. 

  471.     <li class="footer">Generated on Thu Apr 9 2020 15:49:35 for CMSIS-NN Version 1.3.0 by Arm Ltd. All rights reserved.
    472. 

  472. 	<!--
    473. 

  473.     <a href="http://www.doxygen.org/index.html">
    474. 

  474.     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 
    475. 

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    476. 

  476. 	</li>
    477. 

  477.   </ul>
    478. 

  478. </div>
    479. 

  479. </body>
    480. 

  480. </html>
    481.