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group__NNConv.html

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  118. Functions</h2></td></tr>
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  119. <tr class="memitem:ga110adcfdaab356c750c6270aa5e05f29"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
    120. 

  120. <tr class="memdesc:ga110adcfdaab356c750c6270aa5e05f29"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 version of 1x1 convolution (non-sqaure shape)  <a href="#ga110adcfdaab356c750c6270aa5e05f29">More...</a><br/></td></tr>
    121. 

  121. <tr class="separator:ga110adcfdaab356c750c6270aa5e05f29"><td class="memSeparator" colspan="2">&#160;</td></tr>
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  122. <tr class="memitem:ga55701f213b198084b52eab53097f1f58"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">arm_convolve_HWC_q15_basic</a> (const q15_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    123. 

  123. <tr class="memdesc:ga55701f213b198084b52eab53097f1f58"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q15 convolution function.  <a href="#ga55701f213b198084b52eab53097f1f58">More...</a><br/></td></tr>
    124. 

  124. <tr class="separator:ga55701f213b198084b52eab53097f1f58"><td class="memSeparator" colspan="2">&#160;</td></tr>
    125. 

  125. <tr class="memitem:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">arm_convolve_HWC_q15_fast</a> (const q15_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    126. 

  126. <tr class="memdesc:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q15 convolution function.  <a href="#ga4efb1ccbbaa7dd936961989dcb443f50">More...</a><br/></td></tr>
    127. 

  127. <tr class="separator:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memSeparator" colspan="2">&#160;</td></tr>
    128. 

  128. <tr class="memitem:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">arm_convolve_HWC_q15_fast_nonsquare</a> (const q15_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q15_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q15_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q15_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
    129. 

  129. <tr class="memdesc:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q15 convolution function (non-sqaure shape)  <a href="#ga614ec3b71eb96e29952ec3f09e7b9c3c">More...</a><br/></td></tr>
    130. 

  130. <tr class="separator:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memSeparator" colspan="2">&#160;</td></tr>
    131. 

  131. <tr class="memitem:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    132. 

  132. <tr class="memdesc:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q7 convolution function.  <a href="#ga210ae8d8fc1d12ee15b41f1fa6947681">More...</a><br/></td></tr>
    133. 

  133. <tr class="separator:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memSeparator" colspan="2">&#160;</td></tr>
    134. 

  134. <tr class="memitem:ga4501fa22c0836002aa47ccc313dce252"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
    135. 

  135. <tr class="memdesc:ga4501fa22c0836002aa47ccc313dce252"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q7 convolution function (non-sqaure shape)  <a href="#ga4501fa22c0836002aa47ccc313dce252">More...</a><br/></td></tr>
    136. 

  136. <tr class="separator:ga4501fa22c0836002aa47ccc313dce252"><td class="memSeparator" colspan="2">&#160;</td></tr>
    137. 

  137. <tr class="memitem:gae00d3c1285907d59657369fc98bcc83f"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    138. 

  138. <tr class="memdesc:gae00d3c1285907d59657369fc98bcc83f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 convolution function.  <a href="#gae00d3c1285907d59657369fc98bcc83f">More...</a><br/></td></tr>
    139. 

  139. <tr class="separator:gae00d3c1285907d59657369fc98bcc83f"><td class="memSeparator" colspan="2">&#160;</td></tr>
    140. 

  140. <tr class="memitem:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
    141. 

  141. <tr class="memdesc:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 convolution function (non-sqaure shape)  <a href="#gabc6d6b991024e9e5c5cdbd7489de88ef">More...</a><br/></td></tr>
    142. 

  142. <tr class="separator:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memSeparator" colspan="2">&#160;</td></tr>
    143. 

  143. <tr class="memitem:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    144. 

  144. <tr class="memdesc:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 convolution function for RGB image.  <a href="#ga98f2ead67d7cbdf558b0cd8a3b8fc148">More...</a><br/></td></tr>
    145. 

  145. <tr class="separator:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memSeparator" colspan="2">&#160;</td></tr>
    146. 

  146. <tr class="memitem:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">arm_depthwise_separable_conv_HWC_q7</a> (const q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out, q15_t *bufferA, q7_t *bufferB)</td></tr>
    147. 

  147. <tr class="memdesc:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 depthwise separable convolution function.  <a href="#gad3d21b3bc6dbd6f3b97d01104349cb0a">More...</a><br/></td></tr>
    148. 

  148. <tr class="separator:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
    149. 

  149. <tr class="memitem:ga32ac508c5467813a84f74f96655dc697"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">arm_depthwise_separable_conv_HWC_q7_nonsquare</a> (const q7_t *Im_in, const uint16_t dim_im_in_x, const uint16_t dim_im_in_y, const uint16_t ch_im_in, const q7_t *wt, const uint16_t ch_im_out, const uint16_t dim_kernel_x, const uint16_t dim_kernel_y, const uint16_t padding_x, const uint16_t padding_y, const uint16_t stride_x, const uint16_t stride_y, const q7_t *bias, const uint16_t bias_shift, const uint16_t out_shift, q7_t *Im_out, const uint16_t dim_im_out_x, const uint16_t dim_im_out_y, q15_t *bufferA, q7_t *bufferB)</td></tr>
    150. 

  150. <tr class="memdesc:ga32ac508c5467813a84f74f96655dc697"><td class="mdescLeft">&#160;</td><td class="mdescRight">Q7 depthwise separable convolution function (non-square shape)  <a href="#ga32ac508c5467813a84f74f96655dc697">More...</a><br/></td></tr>
    151. 

  151. <tr class="separator:ga32ac508c5467813a84f74f96655dc697"><td class="memSeparator" colspan="2">&#160;</td></tr>
    152. 

  152. </table>
    153. 

  153. <a name="details" id="details"></a><h2 class="groupheader">Description</h2>
    154. 

  154. <p>Perform convolution layer</p>
    155. 

  155. <p>The convolution is implemented in 2 steps: im2col and GEMM</p>
    156. 

  156. <p>im2col is a process of converting each patch of image data into a column. After im2col, the convolution is computed as matrix-matrix multiplication.</p>
    157. 

  157. <p>To reduce the memory footprint, the im2col is performed partially. Each iteration, only a few column (i.e., patches) are generated and computed with GEMM kernels similar to CMSIS-DSP arm_mat_mult functions. </p>
    158. 

  158. <h2 class="groupheader">Function Documentation</h2>
    159. 

  159. <a class="anchor" id="ga110adcfdaab356c750c6270aa5e05f29"></a>
    160. 

  160. <div class="memitem">
    161. 

  161. <div class="memproto">
    162. 

  162.       <table class="memname">
    163. 

  163.         <tr>
    164. 

  164.           <td class="memname">arm_status arm_convolve_1x1_HWC_q7_fast_nonsquare </td>
    165. 

  165.           <td>(</td>
    166. 

  166.           <td class="paramtype">const q7_t *&#160;</td>
    167. 

  167.           <td class="paramname"><em>Im_in</em>, </td>
    168. 

  168.         </tr>
    169. 

  169.         <tr>
    170. 

  170.           <td class="paramkey"></td>
    171. 

  171.           <td></td>
    172. 

  172.           <td class="paramtype">const uint16_t&#160;</td>
    173. 

  173.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    174. 

  174.         </tr>
    175. 

  175.         <tr>
    176. 

  176.           <td class="paramkey"></td>
    177. 

  177.           <td></td>
    178. 

  178.           <td class="paramtype">const uint16_t&#160;</td>
    179. 

  179.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    180. 

  180.         </tr>
    181. 

  181.         <tr>
    182. 

  182.           <td class="paramkey"></td>
    183. 

  183.           <td></td>
    184. 

  184.           <td class="paramtype">const uint16_t&#160;</td>
    185. 

  185.           <td class="paramname"><em>ch_im_in</em>, </td>
    186. 

  186.         </tr>
    187. 

  187.         <tr>
    188. 

  188.           <td class="paramkey"></td>
    189. 

  189.           <td></td>
    190. 

  190.           <td class="paramtype">const q7_t *&#160;</td>
    191. 

  191.           <td class="paramname"><em>wt</em>, </td>
    192. 

  192.         </tr>
    193. 

  193.         <tr>
    194. 

  194.           <td class="paramkey"></td>
    195. 

  195.           <td></td>
    196. 

  196.           <td class="paramtype">const uint16_t&#160;</td>
    197. 

  197.           <td class="paramname"><em>ch_im_out</em>, </td>
    198. 

  198.         </tr>
    199. 

  199.         <tr>
    200. 

  200.           <td class="paramkey"></td>
    201. 

  201.           <td></td>
    202. 

  202.           <td class="paramtype">const uint16_t&#160;</td>
    203. 

  203.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    204. 

  204.         </tr>
    205. 

  205.         <tr>
    206. 

  206.           <td class="paramkey"></td>
    207. 

  207.           <td></td>
    208. 

  208.           <td class="paramtype">const uint16_t&#160;</td>
    209. 

  209.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    210. 

  210.         </tr>
    211. 

  211.         <tr>
    212. 

  212.           <td class="paramkey"></td>
    213. 

  213.           <td></td>
    214. 

  214.           <td class="paramtype">const uint16_t&#160;</td>
    215. 

  215.           <td class="paramname"><em>padding_x</em>, </td>
    216. 

  216.         </tr>
    217. 

  217.         <tr>
    218. 

  218.           <td class="paramkey"></td>
    219. 

  219.           <td></td>
    220. 

  220.           <td class="paramtype">const uint16_t&#160;</td>
    221. 

  221.           <td class="paramname"><em>padding_y</em>, </td>
    222. 

  222.         </tr>
    223. 

  223.         <tr>
    224. 

  224.           <td class="paramkey"></td>
    225. 

  225.           <td></td>
    226. 

  226.           <td class="paramtype">const uint16_t&#160;</td>
    227. 

  227.           <td class="paramname"><em>stride_x</em>, </td>
    228. 

  228.         </tr>
    229. 

  229.         <tr>
    230. 

  230.           <td class="paramkey"></td>
    231. 

  231.           <td></td>
    232. 

  232.           <td class="paramtype">const uint16_t&#160;</td>
    233. 

  233.           <td class="paramname"><em>stride_y</em>, </td>
    234. 

  234.         </tr>
    235. 

  235.         <tr>
    236. 

  236.           <td class="paramkey"></td>
    237. 

  237.           <td></td>
    238. 

  238.           <td class="paramtype">const q7_t *&#160;</td>
    239. 

  239.           <td class="paramname"><em>bias</em>, </td>
    240. 

  240.         </tr>
    241. 

  241.         <tr>
    242. 

  242.           <td class="paramkey"></td>
    243. 

  243.           <td></td>
    244. 

  244.           <td class="paramtype">const uint16_t&#160;</td>
    245. 

  245.           <td class="paramname"><em>bias_shift</em>, </td>
    246. 

  246.         </tr>
    247. 

  247.         <tr>
    248. 

  248.           <td class="paramkey"></td>
    249. 

  249.           <td></td>
    250. 

  250.           <td class="paramtype">const uint16_t&#160;</td>
    251. 

  251.           <td class="paramname"><em>out_shift</em>, </td>
    252. 

  252.         </tr>
    253. 

  253.         <tr>
    254. 

  254.           <td class="paramkey"></td>
    255. 

  255.           <td></td>
    256. 

  256.           <td class="paramtype">q7_t *&#160;</td>
    257. 

  257.           <td class="paramname"><em>Im_out</em>, </td>
    258. 

  258.         </tr>
    259. 

  259.         <tr>
    260. 

  260.           <td class="paramkey"></td>
    261. 

  261.           <td></td>
    262. 

  262.           <td class="paramtype">const uint16_t&#160;</td>
    263. 

  263.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    264. 

  264.         </tr>
    265. 

  265.         <tr>
    266. 

  266.           <td class="paramkey"></td>
    267. 

  267.           <td></td>
    268. 

  268.           <td class="paramtype">const uint16_t&#160;</td>
    269. 

  269.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    270. 

  270.         </tr>
    271. 

  271.         <tr>
    272. 

  272.           <td class="paramkey"></td>
    273. 

  273.           <td></td>
    274. 

  274.           <td class="paramtype">q15_t *&#160;</td>
    275. 

  275.           <td class="paramname"><em>bufferA</em>, </td>
    276. 

  276.         </tr>
    277. 

  277.         <tr>
    278. 

  278.           <td class="paramkey"></td>
    279. 

  279.           <td></td>
    280. 

  280.           <td class="paramtype">q7_t *&#160;</td>
    281. 

  281.           <td class="paramname"><em>bufferB</em>&#160;</td>
    282. 

  282.         </tr>
    283. 

  283.         <tr>
    284. 

  284.           <td></td>
    285. 

  285.           <td>)</td>
    286. 

  286.           <td></td><td></td>
    287. 

  287.         </tr>
    288. 

  288.       </table>
    289. 

  289. </div><div class="memdoc">
    290. 

  290. <dl class="params"><dt>Parameters</dt><dd>
    291. 

  291.   <table class="params">
    292. 

  292.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    293. 

  293.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    294. 

  294.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    295. 

  295.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    296. 

  296.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    297. 

  297.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    298. 

  298.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    299. 

  299.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    300. 

  300.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    301. 

  301.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    302. 

  302.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    303. 

  303.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    304. 

  304.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    305. 

  305.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    306. 

  306.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    307. 

  307.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    308. 

  308.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    309. 

  309.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    310. 

  310.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    311. 

  311.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    312. 

  312.   </table>
    313. 

  313.   </dd>
    314. 

  314. </dl>
    315. 

  315. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    316. 

  316. <p>This function is optimized for convolution with 1x1 kernel size (i.e., dim_kernel_x=1 and dim_kernel_y=1). It can be used for the second half of MobileNets [1] after depthwise separable convolution.</p>
    317. 

  317. <p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 4 ch_im_out is multiple of 2</p>
    318. 

  318. <p>[1] MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications <a href="https://arxiv.org/abs/1704.04861">https://arxiv.org/abs/1704.04861</a> </p>
    319. 

  319. 

  320. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    321. 

  321. 

  322. </div>
    323. 

  323. </div>
    324. 

  324. <a class="anchor" id="ga55701f213b198084b52eab53097f1f58"></a>
    325. 

  325. <div class="memitem">
    326. 

  326. <div class="memproto">
    327. 

  327.       <table class="memname">
    328. 

  328.         <tr>
    329. 

  329.           <td class="memname">arm_status arm_convolve_HWC_q15_basic </td>
    330. 

  330.           <td>(</td>
    331. 

  331.           <td class="paramtype">const q15_t *&#160;</td>
    332. 

  332.           <td class="paramname"><em>Im_in</em>, </td>
    333. 

  333.         </tr>
    334. 

  334.         <tr>
    335. 

  335.           <td class="paramkey"></td>
    336. 

  336.           <td></td>
    337. 

  337.           <td class="paramtype">const uint16_t&#160;</td>
    338. 

  338.           <td class="paramname"><em>dim_im_in</em>, </td>
    339. 

  339.         </tr>
    340. 

  340.         <tr>
    341. 

  341.           <td class="paramkey"></td>
    342. 

  342.           <td></td>
    343. 

  343.           <td class="paramtype">const uint16_t&#160;</td>
    344. 

  344.           <td class="paramname"><em>ch_im_in</em>, </td>
    345. 

  345.         </tr>
    346. 

  346.         <tr>
    347. 

  347.           <td class="paramkey"></td>
    348. 

  348.           <td></td>
    349. 

  349.           <td class="paramtype">const q15_t *&#160;</td>
    350. 

  350.           <td class="paramname"><em>wt</em>, </td>
    351. 

  351.         </tr>
    352. 

  352.         <tr>
    353. 

  353.           <td class="paramkey"></td>
    354. 

  354.           <td></td>
    355. 

  355.           <td class="paramtype">const uint16_t&#160;</td>
    356. 

  356.           <td class="paramname"><em>ch_im_out</em>, </td>
    357. 

  357.         </tr>
    358. 

  358.         <tr>
    359. 

  359.           <td class="paramkey"></td>
    360. 

  360.           <td></td>
    361. 

  361.           <td class="paramtype">const uint16_t&#160;</td>
    362. 

  362.           <td class="paramname"><em>dim_kernel</em>, </td>
    363. 

  363.         </tr>
    364. 

  364.         <tr>
    365. 

  365.           <td class="paramkey"></td>
    366. 

  366.           <td></td>
    367. 

  367.           <td class="paramtype">const uint16_t&#160;</td>
    368. 

  368.           <td class="paramname"><em>padding</em>, </td>
    369. 

  369.         </tr>
    370. 

  370.         <tr>
    371. 

  371.           <td class="paramkey"></td>
    372. 

  372.           <td></td>
    373. 

  373.           <td class="paramtype">const uint16_t&#160;</td>
    374. 

  374.           <td class="paramname"><em>stride</em>, </td>
    375. 

  375.         </tr>
    376. 

  376.         <tr>
    377. 

  377.           <td class="paramkey"></td>
    378. 

  378.           <td></td>
    379. 

  379.           <td class="paramtype">const q15_t *&#160;</td>
    380. 

  380.           <td class="paramname"><em>bias</em>, </td>
    381. 

  381.         </tr>
    382. 

  382.         <tr>
    383. 

  383.           <td class="paramkey"></td>
    384. 

  384.           <td></td>
    385. 

  385.           <td class="paramtype">const uint16_t&#160;</td>
    386. 

  386.           <td class="paramname"><em>bias_shift</em>, </td>
    387. 

  387.         </tr>
    388. 

  388.         <tr>
    389. 

  389.           <td class="paramkey"></td>
    390. 

  390.           <td></td>
    391. 

  391.           <td class="paramtype">const uint16_t&#160;</td>
    392. 

  392.           <td class="paramname"><em>out_shift</em>, </td>
    393. 

  393.         </tr>
    394. 

  394.         <tr>
    395. 

  395.           <td class="paramkey"></td>
    396. 

  396.           <td></td>
    397. 

  397.           <td class="paramtype">q15_t *&#160;</td>
    398. 

  398.           <td class="paramname"><em>Im_out</em>, </td>
    399. 

  399.         </tr>
    400. 

  400.         <tr>
    401. 

  401.           <td class="paramkey"></td>
    402. 

  402.           <td></td>
    403. 

  403.           <td class="paramtype">const uint16_t&#160;</td>
    404. 

  404.           <td class="paramname"><em>dim_im_out</em>, </td>
    405. 

  405.         </tr>
    406. 

  406.         <tr>
    407. 

  407.           <td class="paramkey"></td>
    408. 

  408.           <td></td>
    409. 

  409.           <td class="paramtype">q15_t *&#160;</td>
    410. 

  410.           <td class="paramname"><em>bufferA</em>, </td>
    411. 

  411.         </tr>
    412. 

  412.         <tr>
    413. 

  413.           <td class="paramkey"></td>
    414. 

  414.           <td></td>
    415. 

  415.           <td class="paramtype">q7_t *&#160;</td>
    416. 

  416.           <td class="paramname"><em>bufferB</em>&#160;</td>
    417. 

  417.         </tr>
    418. 

  418.         <tr>
    419. 

  419.           <td></td>
    420. 

  420.           <td>)</td>
    421. 

  421.           <td></td><td></td>
    422. 

  422.         </tr>
    423. 

  423.       </table>
    424. 

  424. </div><div class="memdoc">
    425. 

  425. <dl class="params"><dt>Parameters</dt><dd>
    426. 

  426.   <table class="params">
    427. 

  427.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    428. 

  428.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    429. 

  429.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    430. 

  430.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    431. 

  431.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    432. 

  432.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    433. 

  433.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    434. 

  434.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    435. 

  435.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    436. 

  436.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    437. 

  437.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    438. 

  438.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    439. 

  439.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    440. 

  440.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    441. 

  441.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    442. 

  442.   </table>
    443. 

  443.   </dd>
    444. 

  444. </dl>
    445. 

  445. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    446. 

  446. <p><b>Buffer size:</b></p>
    447. 

  447. <p>bufferA size: ch_im_in*dim_kernel*dim_kernel</p>
    448. 

  448. <p>bufferB size: 0</p>
    449. 

  449. <p>This basic version is designed to work for any input tensor and weight dimension. </p>
    450. 

  450. 

  451. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    452. 

  452. 

  453. </div>
    454. 

  454. </div>
    455. 

  455. <a class="anchor" id="ga4efb1ccbbaa7dd936961989dcb443f50"></a>
    456. 

  456. <div class="memitem">
    457. 

  457. <div class="memproto">
    458. 

  458.       <table class="memname">
    459. 

  459.         <tr>
    460. 

  460.           <td class="memname">arm_status arm_convolve_HWC_q15_fast </td>
    461. 

  461.           <td>(</td>
    462. 

  462.           <td class="paramtype">const q15_t *&#160;</td>
    463. 

  463.           <td class="paramname"><em>Im_in</em>, </td>
    464. 

  464.         </tr>
    465. 

  465.         <tr>
    466. 

  466.           <td class="paramkey"></td>
    467. 

  467.           <td></td>
    468. 

  468.           <td class="paramtype">const uint16_t&#160;</td>
    469. 

  469.           <td class="paramname"><em>dim_im_in</em>, </td>
    470. 

  470.         </tr>
    471. 

  471.         <tr>
    472. 

  472.           <td class="paramkey"></td>
    473. 

  473.           <td></td>
    474. 

  474.           <td class="paramtype">const uint16_t&#160;</td>
    475. 

  475.           <td class="paramname"><em>ch_im_in</em>, </td>
    476. 

  476.         </tr>
    477. 

  477.         <tr>
    478. 

  478.           <td class="paramkey"></td>
    479. 

  479.           <td></td>
    480. 

  480.           <td class="paramtype">const q15_t *&#160;</td>
    481. 

  481.           <td class="paramname"><em>wt</em>, </td>
    482. 

  482.         </tr>
    483. 

  483.         <tr>
    484. 

  484.           <td class="paramkey"></td>
    485. 

  485.           <td></td>
    486. 

  486.           <td class="paramtype">const uint16_t&#160;</td>
    487. 

  487.           <td class="paramname"><em>ch_im_out</em>, </td>
    488. 

  488.         </tr>
    489. 

  489.         <tr>
    490. 

  490.           <td class="paramkey"></td>
    491. 

  491.           <td></td>
    492. 

  492.           <td class="paramtype">const uint16_t&#160;</td>
    493. 

  493.           <td class="paramname"><em>dim_kernel</em>, </td>
    494. 

  494.         </tr>
    495. 

  495.         <tr>
    496. 

  496.           <td class="paramkey"></td>
    497. 

  497.           <td></td>
    498. 

  498.           <td class="paramtype">const uint16_t&#160;</td>
    499. 

  499.           <td class="paramname"><em>padding</em>, </td>
    500. 

  500.         </tr>
    501. 

  501.         <tr>
    502. 

  502.           <td class="paramkey"></td>
    503. 

  503.           <td></td>
    504. 

  504.           <td class="paramtype">const uint16_t&#160;</td>
    505. 

  505.           <td class="paramname"><em>stride</em>, </td>
    506. 

  506.         </tr>
    507. 

  507.         <tr>
    508. 

  508.           <td class="paramkey"></td>
    509. 

  509.           <td></td>
    510. 

  510.           <td class="paramtype">const q15_t *&#160;</td>
    511. 

  511.           <td class="paramname"><em>bias</em>, </td>
    512. 

  512.         </tr>
    513. 

  513.         <tr>
    514. 

  514.           <td class="paramkey"></td>
    515. 

  515.           <td></td>
    516. 

  516.           <td class="paramtype">const uint16_t&#160;</td>
    517. 

  517.           <td class="paramname"><em>bias_shift</em>, </td>
    518. 

  518.         </tr>
    519. 

  519.         <tr>
    520. 

  520.           <td class="paramkey"></td>
    521. 

  521.           <td></td>
    522. 

  522.           <td class="paramtype">const uint16_t&#160;</td>
    523. 

  523.           <td class="paramname"><em>out_shift</em>, </td>
    524. 

  524.         </tr>
    525. 

  525.         <tr>
    526. 

  526.           <td class="paramkey"></td>
    527. 

  527.           <td></td>
    528. 

  528.           <td class="paramtype">q15_t *&#160;</td>
    529. 

  529.           <td class="paramname"><em>Im_out</em>, </td>
    530. 

  530.         </tr>
    531. 

  531.         <tr>
    532. 

  532.           <td class="paramkey"></td>
    533. 

  533.           <td></td>
    534. 

  534.           <td class="paramtype">const uint16_t&#160;</td>
    535. 

  535.           <td class="paramname"><em>dim_im_out</em>, </td>
    536. 

  536.         </tr>
    537. 

  537.         <tr>
    538. 

  538.           <td class="paramkey"></td>
    539. 

  539.           <td></td>
    540. 

  540.           <td class="paramtype">q15_t *&#160;</td>
    541. 

  541.           <td class="paramname"><em>bufferA</em>, </td>
    542. 

  542.         </tr>
    543. 

  543.         <tr>
    544. 

  544.           <td class="paramkey"></td>
    545. 

  545.           <td></td>
    546. 

  546.           <td class="paramtype">q7_t *&#160;</td>
    547. 

  547.           <td class="paramname"><em>bufferB</em>&#160;</td>
    548. 

  548.         </tr>
    549. 

  549.         <tr>
    550. 

  550.           <td></td>
    551. 

  551.           <td>)</td>
    552. 

  552.           <td></td><td></td>
    553. 

  553.         </tr>
    554. 

  554.       </table>
    555. 

  555. </div><div class="memdoc">
    556. 

  556. <dl class="params"><dt>Parameters</dt><dd>
    557. 

  557.   <table class="params">
    558. 

  558.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    559. 

  559.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    560. 

  560.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    561. 

  561.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    562. 

  562.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    563. 

  563.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    564. 

  564.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    565. 

  565.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    566. 

  566.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    567. 

  567.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    568. 

  568.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    569. 

  569.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    570. 

  570.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    571. 

  571.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    572. 

  572.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    573. 

  573.   </table>
    574. 

  574.   </dd>
    575. 

  575. </dl>
    576. 

  576. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    577. 

  577. <p><b>Buffer size:</b></p>
    578. 

  578. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    579. 

  579. <p>bufferB size: 0</p>
    580. 

  580. <p><b>Input dimension constraints:</b></p>
    581. 

  581. <p>ch_im_in is multiple of 2</p>
    582. 

  582. <p>ch_im_out is multipe of 2 </p>
    583. 

  583. 

  584. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    585. 

  585. 

  586. </div>
    587. 

  587. </div>
    588. 

  588. <a class="anchor" id="ga614ec3b71eb96e29952ec3f09e7b9c3c"></a>
    589. 

  589. <div class="memitem">
    590. 

  590. <div class="memproto">
    591. 

  591.       <table class="memname">
    592. 

  592.         <tr>
    593. 

  593.           <td class="memname">arm_status arm_convolve_HWC_q15_fast_nonsquare </td>
    594. 

  594.           <td>(</td>
    595. 

  595.           <td class="paramtype">const q15_t *&#160;</td>
    596. 

  596.           <td class="paramname"><em>Im_in</em>, </td>
    597. 

  597.         </tr>
    598. 

  598.         <tr>
    599. 

  599.           <td class="paramkey"></td>
    600. 

  600.           <td></td>
    601. 

  601.           <td class="paramtype">const uint16_t&#160;</td>
    602. 

  602.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    603. 

  603.         </tr>
    604. 

  604.         <tr>
    605. 

  605.           <td class="paramkey"></td>
    606. 

  606.           <td></td>
    607. 

  607.           <td class="paramtype">const uint16_t&#160;</td>
    608. 

  608.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    609. 

  609.         </tr>
    610. 

  610.         <tr>
    611. 

  611.           <td class="paramkey"></td>
    612. 

  612.           <td></td>
    613. 

  613.           <td class="paramtype">const uint16_t&#160;</td>
    614. 

  614.           <td class="paramname"><em>ch_im_in</em>, </td>
    615. 

  615.         </tr>
    616. 

  616.         <tr>
    617. 

  617.           <td class="paramkey"></td>
    618. 

  618.           <td></td>
    619. 

  619.           <td class="paramtype">const q15_t *&#160;</td>
    620. 

  620.           <td class="paramname"><em>wt</em>, </td>
    621. 

  621.         </tr>
    622. 

  622.         <tr>
    623. 

  623.           <td class="paramkey"></td>
    624. 

  624.           <td></td>
    625. 

  625.           <td class="paramtype">const uint16_t&#160;</td>
    626. 

  626.           <td class="paramname"><em>ch_im_out</em>, </td>
    627. 

  627.         </tr>
    628. 

  628.         <tr>
    629. 

  629.           <td class="paramkey"></td>
    630. 

  630.           <td></td>
    631. 

  631.           <td class="paramtype">const uint16_t&#160;</td>
    632. 

  632.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    633. 

  633.         </tr>
    634. 

  634.         <tr>
    635. 

  635.           <td class="paramkey"></td>
    636. 

  636.           <td></td>
    637. 

  637.           <td class="paramtype">const uint16_t&#160;</td>
    638. 

  638.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    639. 

  639.         </tr>
    640. 

  640.         <tr>
    641. 

  641.           <td class="paramkey"></td>
    642. 

  642.           <td></td>
    643. 

  643.           <td class="paramtype">const uint16_t&#160;</td>
    644. 

  644.           <td class="paramname"><em>padding_x</em>, </td>
    645. 

  645.         </tr>
    646. 

  646.         <tr>
    647. 

  647.           <td class="paramkey"></td>
    648. 

  648.           <td></td>
    649. 

  649.           <td class="paramtype">const uint16_t&#160;</td>
    650. 

  650.           <td class="paramname"><em>padding_y</em>, </td>
    651. 

  651.         </tr>
    652. 

  652.         <tr>
    653. 

  653.           <td class="paramkey"></td>
    654. 

  654.           <td></td>
    655. 

  655.           <td class="paramtype">const uint16_t&#160;</td>
    656. 

  656.           <td class="paramname"><em>stride_x</em>, </td>
    657. 

  657.         </tr>
    658. 

  658.         <tr>
    659. 

  659.           <td class="paramkey"></td>
    660. 

  660.           <td></td>
    661. 

  661.           <td class="paramtype">const uint16_t&#160;</td>
    662. 

  662.           <td class="paramname"><em>stride_y</em>, </td>
    663. 

  663.         </tr>
    664. 

  664.         <tr>
    665. 

  665.           <td class="paramkey"></td>
    666. 

  666.           <td></td>
    667. 

  667.           <td class="paramtype">const q15_t *&#160;</td>
    668. 

  668.           <td class="paramname"><em>bias</em>, </td>
    669. 

  669.         </tr>
    670. 

  670.         <tr>
    671. 

  671.           <td class="paramkey"></td>
    672. 

  672.           <td></td>
    673. 

  673.           <td class="paramtype">const uint16_t&#160;</td>
    674. 

  674.           <td class="paramname"><em>bias_shift</em>, </td>
    675. 

  675.         </tr>
    676. 

  676.         <tr>
    677. 

  677.           <td class="paramkey"></td>
    678. 

  678.           <td></td>
    679. 

  679.           <td class="paramtype">const uint16_t&#160;</td>
    680. 

  680.           <td class="paramname"><em>out_shift</em>, </td>
    681. 

  681.         </tr>
    682. 

  682.         <tr>
    683. 

  683.           <td class="paramkey"></td>
    684. 

  684.           <td></td>
    685. 

  685.           <td class="paramtype">q15_t *&#160;</td>
    686. 

  686.           <td class="paramname"><em>Im_out</em>, </td>
    687. 

  687.         </tr>
    688. 

  688.         <tr>
    689. 

  689.           <td class="paramkey"></td>
    690. 

  690.           <td></td>
    691. 

  691.           <td class="paramtype">const uint16_t&#160;</td>
    692. 

  692.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    693. 

  693.         </tr>
    694. 

  694.         <tr>
    695. 

  695.           <td class="paramkey"></td>
    696. 

  696.           <td></td>
    697. 

  697.           <td class="paramtype">const uint16_t&#160;</td>
    698. 

  698.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    699. 

  699.         </tr>
    700. 

  700.         <tr>
    701. 

  701.           <td class="paramkey"></td>
    702. 

  702.           <td></td>
    703. 

  703.           <td class="paramtype">q15_t *&#160;</td>
    704. 

  704.           <td class="paramname"><em>bufferA</em>, </td>
    705. 

  705.         </tr>
    706. 

  706.         <tr>
    707. 

  707.           <td class="paramkey"></td>
    708. 

  708.           <td></td>
    709. 

  709.           <td class="paramtype">q7_t *&#160;</td>
    710. 

  710.           <td class="paramname"><em>bufferB</em>&#160;</td>
    711. 

  711.         </tr>
    712. 

  712.         <tr>
    713. 

  713.           <td></td>
    714. 

  714.           <td>)</td>
    715. 

  715.           <td></td><td></td>
    716. 

  716.         </tr>
    717. 

  717.       </table>
    718. 

  718. </div><div class="memdoc">
    719. 

  719. <dl class="params"><dt>Parameters</dt><dd>
    720. 

  720.   <table class="params">
    721. 

  721.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    722. 

  722.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    723. 

  723.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    724. 

  724.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    725. 

  725.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    726. 

  726.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    727. 

  727.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    728. 

  728.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    729. 

  729.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    730. 

  730.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    731. 

  731.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    732. 

  732.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    733. 

  733.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    734. 

  734.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    735. 

  735.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    736. 

  736.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    737. 

  737.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    738. 

  738.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    739. 

  739.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    740. 

  740.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    741. 

  741.   </table>
    742. 

  742.   </dd>
    743. 

  743. </dl>
    744. 

  744. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    745. 

  745. <p><b>Buffer size:</b></p>
    746. 

  746. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    747. 

  747. <p>bufferB size: 0</p>
    748. 

  748. <p><b>Input dimension constraints:</b></p>
    749. 

  749. <p>ch_im_in is multiple of 2</p>
    750. 

  750. <p>ch_im_out is multipe of 2 </p>
    751. 

  751. 

  752. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    753. 

  753. 

  754. </div>
    755. 

  755. </div>
    756. 

  756. <a class="anchor" id="ga210ae8d8fc1d12ee15b41f1fa6947681"></a>
    757. 

  757. <div class="memitem">
    758. 

  758. <div class="memproto">
    759. 

  759.       <table class="memname">
    760. 

  760.         <tr>
    761. 

  761.           <td class="memname">arm_status arm_convolve_HWC_q7_basic </td>
    762. 

  762.           <td>(</td>
    763. 

  763.           <td class="paramtype">const q7_t *&#160;</td>
    764. 

  764.           <td class="paramname"><em>Im_in</em>, </td>
    765. 

  765.         </tr>
    766. 

  766.         <tr>
    767. 

  767.           <td class="paramkey"></td>
    768. 

  768.           <td></td>
    769. 

  769.           <td class="paramtype">const uint16_t&#160;</td>
    770. 

  770.           <td class="paramname"><em>dim_im_in</em>, </td>
    771. 

  771.         </tr>
    772. 

  772.         <tr>
    773. 

  773.           <td class="paramkey"></td>
    774. 

  774.           <td></td>
    775. 

  775.           <td class="paramtype">const uint16_t&#160;</td>
    776. 

  776.           <td class="paramname"><em>ch_im_in</em>, </td>
    777. 

  777.         </tr>
    778. 

  778.         <tr>
    779. 

  779.           <td class="paramkey"></td>
    780. 

  780.           <td></td>
    781. 

  781.           <td class="paramtype">const q7_t *&#160;</td>
    782. 

  782.           <td class="paramname"><em>wt</em>, </td>
    783. 

  783.         </tr>
    784. 

  784.         <tr>
    785. 

  785.           <td class="paramkey"></td>
    786. 

  786.           <td></td>
    787. 

  787.           <td class="paramtype">const uint16_t&#160;</td>
    788. 

  788.           <td class="paramname"><em>ch_im_out</em>, </td>
    789. 

  789.         </tr>
    790. 

  790.         <tr>
    791. 

  791.           <td class="paramkey"></td>
    792. 

  792.           <td></td>
    793. 

  793.           <td class="paramtype">const uint16_t&#160;</td>
    794. 

  794.           <td class="paramname"><em>dim_kernel</em>, </td>
    795. 

  795.         </tr>
    796. 

  796.         <tr>
    797. 

  797.           <td class="paramkey"></td>
    798. 

  798.           <td></td>
    799. 

  799.           <td class="paramtype">const uint16_t&#160;</td>
    800. 

  800.           <td class="paramname"><em>padding</em>, </td>
    801. 

  801.         </tr>
    802. 

  802.         <tr>
    803. 

  803.           <td class="paramkey"></td>
    804. 

  804.           <td></td>
    805. 

  805.           <td class="paramtype">const uint16_t&#160;</td>
    806. 

  806.           <td class="paramname"><em>stride</em>, </td>
    807. 

  807.         </tr>
    808. 

  808.         <tr>
    809. 

  809.           <td class="paramkey"></td>
    810. 

  810.           <td></td>
    811. 

  811.           <td class="paramtype">const q7_t *&#160;</td>
    812. 

  812.           <td class="paramname"><em>bias</em>, </td>
    813. 

  813.         </tr>
    814. 

  814.         <tr>
    815. 

  815.           <td class="paramkey"></td>
    816. 

  816.           <td></td>
    817. 

  817.           <td class="paramtype">const uint16_t&#160;</td>
    818. 

  818.           <td class="paramname"><em>bias_shift</em>, </td>
    819. 

  819.         </tr>
    820. 

  820.         <tr>
    821. 

  821.           <td class="paramkey"></td>
    822. 

  822.           <td></td>
    823. 

  823.           <td class="paramtype">const uint16_t&#160;</td>
    824. 

  824.           <td class="paramname"><em>out_shift</em>, </td>
    825. 

  825.         </tr>
    826. 

  826.         <tr>
    827. 

  827.           <td class="paramkey"></td>
    828. 

  828.           <td></td>
    829. 

  829.           <td class="paramtype">q7_t *&#160;</td>
    830. 

  830.           <td class="paramname"><em>Im_out</em>, </td>
    831. 

  831.         </tr>
    832. 

  832.         <tr>
    833. 

  833.           <td class="paramkey"></td>
    834. 

  834.           <td></td>
    835. 

  835.           <td class="paramtype">const uint16_t&#160;</td>
    836. 

  836.           <td class="paramname"><em>dim_im_out</em>, </td>
    837. 

  837.         </tr>
    838. 

  838.         <tr>
    839. 

  839.           <td class="paramkey"></td>
    840. 

  840.           <td></td>
    841. 

  841.           <td class="paramtype">q15_t *&#160;</td>
    842. 

  842.           <td class="paramname"><em>bufferA</em>, </td>
    843. 

  843.         </tr>
    844. 

  844.         <tr>
    845. 

  845.           <td class="paramkey"></td>
    846. 

  846.           <td></td>
    847. 

  847.           <td class="paramtype">q7_t *&#160;</td>
    848. 

  848.           <td class="paramname"><em>bufferB</em>&#160;</td>
    849. 

  849.         </tr>
    850. 

  850.         <tr>
    851. 

  851.           <td></td>
    852. 

  852.           <td>)</td>
    853. 

  853.           <td></td><td></td>
    854. 

  854.         </tr>
    855. 

  855.       </table>
    856. 

  856. </div><div class="memdoc">
    857. 

  857. <dl class="params"><dt>Parameters</dt><dd>
    858. 

  858.   <table class="params">
    859. 

  859.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    860. 

  860.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    861. 

  861.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    862. 

  862.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    863. 

  863.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    864. 

  864.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    865. 

  865.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    866. 

  866.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    867. 

  867.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    868. 

  868.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    869. 

  869.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    870. 

  870.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    871. 

  871.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    872. 

  872.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    873. 

  873.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    874. 

  874.   </table>
    875. 

  875.   </dd>
    876. 

  876. </dl>
    877. 

  877. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    878. 

  878. <p><b>Buffer size:</b></p>
    879. 

  879. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    880. 

  880. <p>bufferB size: 0</p>
    881. 

  881. <p>This basic version is designed to work for any input tensor and weight dimension. </p>
    882. 

  882. 

  883. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    884. 

  884. 

  885. </div>
    886. 

  886. </div>
    887. 

  887. <a class="anchor" id="ga4501fa22c0836002aa47ccc313dce252"></a>
    888. 

  888. <div class="memitem">
    889. 

  889. <div class="memproto">
    890. 

  890.       <table class="memname">
    891. 

  891.         <tr>
    892. 

  892.           <td class="memname">arm_status arm_convolve_HWC_q7_basic_nonsquare </td>
    893. 

  893.           <td>(</td>
    894. 

  894.           <td class="paramtype">const q7_t *&#160;</td>
    895. 

  895.           <td class="paramname"><em>Im_in</em>, </td>
    896. 

  896.         </tr>
    897. 

  897.         <tr>
    898. 

  898.           <td class="paramkey"></td>
    899. 

  899.           <td></td>
    900. 

  900.           <td class="paramtype">const uint16_t&#160;</td>
    901. 

  901.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    902. 

  902.         </tr>
    903. 

  903.         <tr>
    904. 

  904.           <td class="paramkey"></td>
    905. 

  905.           <td></td>
    906. 

  906.           <td class="paramtype">const uint16_t&#160;</td>
    907. 

  907.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    908. 

  908.         </tr>
    909. 

  909.         <tr>
    910. 

  910.           <td class="paramkey"></td>
    911. 

  911.           <td></td>
    912. 

  912.           <td class="paramtype">const uint16_t&#160;</td>
    913. 

  913.           <td class="paramname"><em>ch_im_in</em>, </td>
    914. 

  914.         </tr>
    915. 

  915.         <tr>
    916. 

  916.           <td class="paramkey"></td>
    917. 

  917.           <td></td>
    918. 

  918.           <td class="paramtype">const q7_t *&#160;</td>
    919. 

  919.           <td class="paramname"><em>wt</em>, </td>
    920. 

  920.         </tr>
    921. 

  921.         <tr>
    922. 

  922.           <td class="paramkey"></td>
    923. 

  923.           <td></td>
    924. 

  924.           <td class="paramtype">const uint16_t&#160;</td>
    925. 

  925.           <td class="paramname"><em>ch_im_out</em>, </td>
    926. 

  926.         </tr>
    927. 

  927.         <tr>
    928. 

  928.           <td class="paramkey"></td>
    929. 

  929.           <td></td>
    930. 

  930.           <td class="paramtype">const uint16_t&#160;</td>
    931. 

  931.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    932. 

  932.         </tr>
    933. 

  933.         <tr>
    934. 

  934.           <td class="paramkey"></td>
    935. 

  935.           <td></td>
    936. 

  936.           <td class="paramtype">const uint16_t&#160;</td>
    937. 

  937.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    938. 

  938.         </tr>
    939. 

  939.         <tr>
    940. 

  940.           <td class="paramkey"></td>
    941. 

  941.           <td></td>
    942. 

  942.           <td class="paramtype">const uint16_t&#160;</td>
    943. 

  943.           <td class="paramname"><em>padding_x</em>, </td>
    944. 

  944.         </tr>
    945. 

  945.         <tr>
    946. 

  946.           <td class="paramkey"></td>
    947. 

  947.           <td></td>
    948. 

  948.           <td class="paramtype">const uint16_t&#160;</td>
    949. 

  949.           <td class="paramname"><em>padding_y</em>, </td>
    950. 

  950.         </tr>
    951. 

  951.         <tr>
    952. 

  952.           <td class="paramkey"></td>
    953. 

  953.           <td></td>
    954. 

  954.           <td class="paramtype">const uint16_t&#160;</td>
    955. 

  955.           <td class="paramname"><em>stride_x</em>, </td>
    956. 

  956.         </tr>
    957. 

  957.         <tr>
    958. 

  958.           <td class="paramkey"></td>
    959. 

  959.           <td></td>
    960. 

  960.           <td class="paramtype">const uint16_t&#160;</td>
    961. 

  961.           <td class="paramname"><em>stride_y</em>, </td>
    962. 

  962.         </tr>
    963. 

  963.         <tr>
    964. 

  964.           <td class="paramkey"></td>
    965. 

  965.           <td></td>
    966. 

  966.           <td class="paramtype">const q7_t *&#160;</td>
    967. 

  967.           <td class="paramname"><em>bias</em>, </td>
    968. 

  968.         </tr>
    969. 

  969.         <tr>
    970. 

  970.           <td class="paramkey"></td>
    971. 

  971.           <td></td>
    972. 

  972.           <td class="paramtype">const uint16_t&#160;</td>
    973. 

  973.           <td class="paramname"><em>bias_shift</em>, </td>
    974. 

  974.         </tr>
    975. 

  975.         <tr>
    976. 

  976.           <td class="paramkey"></td>
    977. 

  977.           <td></td>
    978. 

  978.           <td class="paramtype">const uint16_t&#160;</td>
    979. 

  979.           <td class="paramname"><em>out_shift</em>, </td>
    980. 

  980.         </tr>
    981. 

  981.         <tr>
    982. 

  982.           <td class="paramkey"></td>
    983. 

  983.           <td></td>
    984. 

  984.           <td class="paramtype">q7_t *&#160;</td>
    985. 

  985.           <td class="paramname"><em>Im_out</em>, </td>
    986. 

  986.         </tr>
    987. 

  987.         <tr>
    988. 

  988.           <td class="paramkey"></td>
    989. 

  989.           <td></td>
    990. 

  990.           <td class="paramtype">const uint16_t&#160;</td>
    991. 

  991.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    992. 

  992.         </tr>
    993. 

  993.         <tr>
    994. 

  994.           <td class="paramkey"></td>
    995. 

  995.           <td></td>
    996. 

  996.           <td class="paramtype">const uint16_t&#160;</td>
    997. 

  997.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    998. 

  998.         </tr>
    999. 

  999.         <tr>
    1000. 

  1000.           <td class="paramkey"></td>
    1001. 

  1001.           <td></td>
    1002. 

  1002.           <td class="paramtype">q15_t *&#160;</td>
    1003. 

  1003.           <td class="paramname"><em>bufferA</em>, </td>
    1004. 

  1004.         </tr>
    1005. 

  1005.         <tr>
    1006. 

  1006.           <td class="paramkey"></td>
    1007. 

  1007.           <td></td>
    1008. 

  1008.           <td class="paramtype">q7_t *&#160;</td>
    1009. 

  1009.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1010. 

  1010.         </tr>
    1011. 

  1011.         <tr>
    1012. 

  1012.           <td></td>
    1013. 

  1013.           <td>)</td>
    1014. 

  1014.           <td></td><td></td>
    1015. 

  1015.         </tr>
    1016. 

  1016.       </table>
    1017. 

  1017. </div><div class="memdoc">
    1018. 

  1018. <dl class="params"><dt>Parameters</dt><dd>
    1019. 

  1019.   <table class="params">
    1020. 

  1020.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1021. 

  1021.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1022. 

  1022.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1023. 

  1023.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1024. 

  1024.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1025. 

  1025.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1026. 

  1026.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1027. 

  1027.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1028. 

  1028.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    1029. 

  1029.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    1030. 

  1030.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1031. 

  1031.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1032. 

  1032.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1033. 

  1033.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1034. 

  1034.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1035. 

  1035.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1036. 

  1036.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1037. 

  1037.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1038. 

  1038.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1039. 

  1039.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1040. 

  1040.   </table>
    1041. 

  1041.   </dd>
    1042. 

  1042. </dl>
    1043. 

  1043. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code> </dd></dl>
    1044. 

  1044. 

  1045. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="group__nndata__convert.html#gae349de4dba8d253c89d45794ccf05680">arm_q7_to_q15_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    1046. 

  1046. 

  1047. </div>
    1048. 

  1048. </div>
    1049. 

  1049. <a class="anchor" id="gae00d3c1285907d59657369fc98bcc83f"></a>
    1050. 

  1050. <div class="memitem">
    1051. 

  1051. <div class="memproto">
    1052. 

  1052.       <table class="memname">
    1053. 

  1053.         <tr>
    1054. 

  1054.           <td class="memname">arm_status arm_convolve_HWC_q7_fast </td>
    1055. 

  1055.           <td>(</td>
    1056. 

  1056.           <td class="paramtype">const q7_t *&#160;</td>
    1057. 

  1057.           <td class="paramname"><em>Im_in</em>, </td>
    1058. 

  1058.         </tr>
    1059. 

  1059.         <tr>
    1060. 

  1060.           <td class="paramkey"></td>
    1061. 

  1061.           <td></td>
    1062. 

  1062.           <td class="paramtype">const uint16_t&#160;</td>
    1063. 

  1063.           <td class="paramname"><em>dim_im_in</em>, </td>
    1064. 

  1064.         </tr>
    1065. 

  1065.         <tr>
    1066. 

  1066.           <td class="paramkey"></td>
    1067. 

  1067.           <td></td>
    1068. 

  1068.           <td class="paramtype">const uint16_t&#160;</td>
    1069. 

  1069.           <td class="paramname"><em>ch_im_in</em>, </td>
    1070. 

  1070.         </tr>
    1071. 

  1071.         <tr>
    1072. 

  1072.           <td class="paramkey"></td>
    1073. 

  1073.           <td></td>
    1074. 

  1074.           <td class="paramtype">const q7_t *&#160;</td>
    1075. 

  1075.           <td class="paramname"><em>wt</em>, </td>
    1076. 

  1076.         </tr>
    1077. 

  1077.         <tr>
    1078. 

  1078.           <td class="paramkey"></td>
    1079. 

  1079.           <td></td>
    1080. 

  1080.           <td class="paramtype">const uint16_t&#160;</td>
    1081. 

  1081.           <td class="paramname"><em>ch_im_out</em>, </td>
    1082. 

  1082.         </tr>
    1083. 

  1083.         <tr>
    1084. 

  1084.           <td class="paramkey"></td>
    1085. 

  1085.           <td></td>
    1086. 

  1086.           <td class="paramtype">const uint16_t&#160;</td>
    1087. 

  1087.           <td class="paramname"><em>dim_kernel</em>, </td>
    1088. 

  1088.         </tr>
    1089. 

  1089.         <tr>
    1090. 

  1090.           <td class="paramkey"></td>
    1091. 

  1091.           <td></td>
    1092. 

  1092.           <td class="paramtype">const uint16_t&#160;</td>
    1093. 

  1093.           <td class="paramname"><em>padding</em>, </td>
    1094. 

  1094.         </tr>
    1095. 

  1095.         <tr>
    1096. 

  1096.           <td class="paramkey"></td>
    1097. 

  1097.           <td></td>
    1098. 

  1098.           <td class="paramtype">const uint16_t&#160;</td>
    1099. 

  1099.           <td class="paramname"><em>stride</em>, </td>
    1100. 

  1100.         </tr>
    1101. 

  1101.         <tr>
    1102. 

  1102.           <td class="paramkey"></td>
    1103. 

  1103.           <td></td>
    1104. 

  1104.           <td class="paramtype">const q7_t *&#160;</td>
    1105. 

  1105.           <td class="paramname"><em>bias</em>, </td>
    1106. 

  1106.         </tr>
    1107. 

  1107.         <tr>
    1108. 

  1108.           <td class="paramkey"></td>
    1109. 

  1109.           <td></td>
    1110. 

  1110.           <td class="paramtype">const uint16_t&#160;</td>
    1111. 

  1111.           <td class="paramname"><em>bias_shift</em>, </td>
    1112. 

  1112.         </tr>
    1113. 

  1113.         <tr>
    1114. 

  1114.           <td class="paramkey"></td>
    1115. 

  1115.           <td></td>
    1116. 

  1116.           <td class="paramtype">const uint16_t&#160;</td>
    1117. 

  1117.           <td class="paramname"><em>out_shift</em>, </td>
    1118. 

  1118.         </tr>
    1119. 

  1119.         <tr>
    1120. 

  1120.           <td class="paramkey"></td>
    1121. 

  1121.           <td></td>
    1122. 

  1122.           <td class="paramtype">q7_t *&#160;</td>
    1123. 

  1123.           <td class="paramname"><em>Im_out</em>, </td>
    1124. 

  1124.         </tr>
    1125. 

  1125.         <tr>
    1126. 

  1126.           <td class="paramkey"></td>
    1127. 

  1127.           <td></td>
    1128. 

  1128.           <td class="paramtype">const uint16_t&#160;</td>
    1129. 

  1129.           <td class="paramname"><em>dim_im_out</em>, </td>
    1130. 

  1130.         </tr>
    1131. 

  1131.         <tr>
    1132. 

  1132.           <td class="paramkey"></td>
    1133. 

  1133.           <td></td>
    1134. 

  1134.           <td class="paramtype">q15_t *&#160;</td>
    1135. 

  1135.           <td class="paramname"><em>bufferA</em>, </td>
    1136. 

  1136.         </tr>
    1137. 

  1137.         <tr>
    1138. 

  1138.           <td class="paramkey"></td>
    1139. 

  1139.           <td></td>
    1140. 

  1140.           <td class="paramtype">q7_t *&#160;</td>
    1141. 

  1141.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1142. 

  1142.         </tr>
    1143. 

  1143.         <tr>
    1144. 

  1144.           <td></td>
    1145. 

  1145.           <td>)</td>
    1146. 

  1146.           <td></td><td></td>
    1147. 

  1147.         </tr>
    1148. 

  1148.       </table>
    1149. 

  1149. </div><div class="memdoc">
    1150. 

  1150. <dl class="params"><dt>Parameters</dt><dd>
    1151. 

  1151.   <table class="params">
    1152. 

  1152.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1153. 

  1153.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1154. 

  1154.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1155. 

  1155.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1156. 

  1156.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1157. 

  1157.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1158. 

  1158.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1159. 

  1159.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1160. 

  1160.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1161. 

  1161.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1162. 

  1162.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1163. 

  1163.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1164. 

  1164.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1165. 

  1165.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1166. 

  1166.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1167. 

  1167.   </table>
    1168. 

  1168.   </dd>
    1169. 

  1169. </dl>
    1170. 

  1170. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    1171. 

  1171. <p><b>Buffer size:</b></p>
    1172. 

  1172. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1173. 

  1173. <p>bufferB size: 0</p>
    1174. 

  1174. <p><b>Input dimension constraints:</b></p>
    1175. 

  1175. <p>ch_im_in is multiple of 4 ( because of the SIMD32 read and swap )</p>
    1176. 

  1176. <p>ch_im_out is multipe of 2 ( bacause 2x2 mat_mult kernel )</p>
    1177. 

  1177. <p>The im2col converts the Q7 tensor input into Q15 column, which is stored in bufferA. There is reordering happenning during this im2col process with arm_q7_to_q15_reordered_no_shift. For every four elements, the second and third elements are swapped.</p>
    1178. 

  1178. <p>The computation kernel arm_nn_mat_mult_kernel_q7_q15_reordered does the GEMM computation with the reordered columns.</p>
    1179. 

  1179. <p>To speed-up the determination of the padding condition, we split the computation into 3x3 parts, i.e., {top, mid, bottom} X {left, mid, right}. This reduces the total number of boundary condition checks and improves the data copying performance. </p>
    1180. 

  1180. 

  1181. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    1182. 

  1182. 

  1183. <p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
    1184. 

  1184. 

  1185. </div>
    1186. 

  1186. </div>
    1187. 

  1187. <a class="anchor" id="gabc6d6b991024e9e5c5cdbd7489de88ef"></a>
    1188. 

  1188. <div class="memitem">
    1189. 

  1189. <div class="memproto">
    1190. 

  1190.       <table class="memname">
    1191. 

  1191.         <tr>
    1192. 

  1192.           <td class="memname">arm_status arm_convolve_HWC_q7_fast_nonsquare </td>
    1193. 

  1193.           <td>(</td>
    1194. 

  1194.           <td class="paramtype">const q7_t *&#160;</td>
    1195. 

  1195.           <td class="paramname"><em>Im_in</em>, </td>
    1196. 

  1196.         </tr>
    1197. 

  1197.         <tr>
    1198. 

  1198.           <td class="paramkey"></td>
    1199. 

  1199.           <td></td>
    1200. 

  1200.           <td class="paramtype">const uint16_t&#160;</td>
    1201. 

  1201.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    1202. 

  1202.         </tr>
    1203. 

  1203.         <tr>
    1204. 

  1204.           <td class="paramkey"></td>
    1205. 

  1205.           <td></td>
    1206. 

  1206.           <td class="paramtype">const uint16_t&#160;</td>
    1207. 

  1207.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    1208. 

  1208.         </tr>
    1209. 

  1209.         <tr>
    1210. 

  1210.           <td class="paramkey"></td>
    1211. 

  1211.           <td></td>
    1212. 

  1212.           <td class="paramtype">const uint16_t&#160;</td>
    1213. 

  1213.           <td class="paramname"><em>ch_im_in</em>, </td>
    1214. 

  1214.         </tr>
    1215. 

  1215.         <tr>
    1216. 

  1216.           <td class="paramkey"></td>
    1217. 

  1217.           <td></td>
    1218. 

  1218.           <td class="paramtype">const q7_t *&#160;</td>
    1219. 

  1219.           <td class="paramname"><em>wt</em>, </td>
    1220. 

  1220.         </tr>
    1221. 

  1221.         <tr>
    1222. 

  1222.           <td class="paramkey"></td>
    1223. 

  1223.           <td></td>
    1224. 

  1224.           <td class="paramtype">const uint16_t&#160;</td>
    1225. 

  1225.           <td class="paramname"><em>ch_im_out</em>, </td>
    1226. 

  1226.         </tr>
    1227. 

  1227.         <tr>
    1228. 

  1228.           <td class="paramkey"></td>
    1229. 

  1229.           <td></td>
    1230. 

  1230.           <td class="paramtype">const uint16_t&#160;</td>
    1231. 

  1231.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    1232. 

  1232.         </tr>
    1233. 

  1233.         <tr>
    1234. 

  1234.           <td class="paramkey"></td>
    1235. 

  1235.           <td></td>
    1236. 

  1236.           <td class="paramtype">const uint16_t&#160;</td>
    1237. 

  1237.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    1238. 

  1238.         </tr>
    1239. 

  1239.         <tr>
    1240. 

  1240.           <td class="paramkey"></td>
    1241. 

  1241.           <td></td>
    1242. 

  1242.           <td class="paramtype">const uint16_t&#160;</td>
    1243. 

  1243.           <td class="paramname"><em>padding_x</em>, </td>
    1244. 

  1244.         </tr>
    1245. 

  1245.         <tr>
    1246. 

  1246.           <td class="paramkey"></td>
    1247. 

  1247.           <td></td>
    1248. 

  1248.           <td class="paramtype">const uint16_t&#160;</td>
    1249. 

  1249.           <td class="paramname"><em>padding_y</em>, </td>
    1250. 

  1250.         </tr>
    1251. 

  1251.         <tr>
    1252. 

  1252.           <td class="paramkey"></td>
    1253. 

  1253.           <td></td>
    1254. 

  1254.           <td class="paramtype">const uint16_t&#160;</td>
    1255. 

  1255.           <td class="paramname"><em>stride_x</em>, </td>
    1256. 

  1256.         </tr>
    1257. 

  1257.         <tr>
    1258. 

  1258.           <td class="paramkey"></td>
    1259. 

  1259.           <td></td>
    1260. 

  1260.           <td class="paramtype">const uint16_t&#160;</td>
    1261. 

  1261.           <td class="paramname"><em>stride_y</em>, </td>
    1262. 

  1262.         </tr>
    1263. 

  1263.         <tr>
    1264. 

  1264.           <td class="paramkey"></td>
    1265. 

  1265.           <td></td>
    1266. 

  1266.           <td class="paramtype">const q7_t *&#160;</td>
    1267. 

  1267.           <td class="paramname"><em>bias</em>, </td>
    1268. 

  1268.         </tr>
    1269. 

  1269.         <tr>
    1270. 

  1270.           <td class="paramkey"></td>
    1271. 

  1271.           <td></td>
    1272. 

  1272.           <td class="paramtype">const uint16_t&#160;</td>
    1273. 

  1273.           <td class="paramname"><em>bias_shift</em>, </td>
    1274. 

  1274.         </tr>
    1275. 

  1275.         <tr>
    1276. 

  1276.           <td class="paramkey"></td>
    1277. 

  1277.           <td></td>
    1278. 

  1278.           <td class="paramtype">const uint16_t&#160;</td>
    1279. 

  1279.           <td class="paramname"><em>out_shift</em>, </td>
    1280. 

  1280.         </tr>
    1281. 

  1281.         <tr>
    1282. 

  1282.           <td class="paramkey"></td>
    1283. 

  1283.           <td></td>
    1284. 

  1284.           <td class="paramtype">q7_t *&#160;</td>
    1285. 

  1285.           <td class="paramname"><em>Im_out</em>, </td>
    1286. 

  1286.         </tr>
    1287. 

  1287.         <tr>
    1288. 

  1288.           <td class="paramkey"></td>
    1289. 

  1289.           <td></td>
    1290. 

  1290.           <td class="paramtype">const uint16_t&#160;</td>
    1291. 

  1291.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    1292. 

  1292.         </tr>
    1293. 

  1293.         <tr>
    1294. 

  1294.           <td class="paramkey"></td>
    1295. 

  1295.           <td></td>
    1296. 

  1296.           <td class="paramtype">const uint16_t&#160;</td>
    1297. 

  1297.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    1298. 

  1298.         </tr>
    1299. 

  1299.         <tr>
    1300. 

  1300.           <td class="paramkey"></td>
    1301. 

  1301.           <td></td>
    1302. 

  1302.           <td class="paramtype">q15_t *&#160;</td>
    1303. 

  1303.           <td class="paramname"><em>bufferA</em>, </td>
    1304. 

  1304.         </tr>
    1305. 

  1305.         <tr>
    1306. 

  1306.           <td class="paramkey"></td>
    1307. 

  1307.           <td></td>
    1308. 

  1308.           <td class="paramtype">q7_t *&#160;</td>
    1309. 

  1309.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1310. 

  1310.         </tr>
    1311. 

  1311.         <tr>
    1312. 

  1312.           <td></td>
    1313. 

  1313.           <td>)</td>
    1314. 

  1314.           <td></td><td></td>
    1315. 

  1315.         </tr>
    1316. 

  1316.       </table>
    1317. 

  1317. </div><div class="memdoc">
    1318. 

  1318. <dl class="params"><dt>Parameters</dt><dd>
    1319. 

  1319.   <table class="params">
    1320. 

  1320.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1321. 

  1321.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1322. 

  1322.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1323. 

  1323.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1324. 

  1324.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1325. 

  1325.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1326. 

  1326.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1327. 

  1327.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1328. 

  1328.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    1329. 

  1329.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    1330. 

  1330.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1331. 

  1331.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1332. 

  1332.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1333. 

  1333.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1334. 

  1334.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1335. 

  1335.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1336. 

  1336.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1337. 

  1337.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1338. 

  1338.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1339. 

  1339.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1340. 

  1340.   </table>
    1341. 

  1341.   </dd>
    1342. 

  1342. </dl>
    1343. 

  1343. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    1344. 

  1344. <p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 4 ch_im_out is multiple of 2 </p>
    1345. 

  1345. 

  1346. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="group__nndata__convert.html#gaba8fd446d5f54760b406ee63b25d1aee">arm_q7_to_q15_reordered_no_shift()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    1347. 

  1347. 

  1348. </div>
    1349. 

  1349. </div>
    1350. 

  1350. <a class="anchor" id="ga98f2ead67d7cbdf558b0cd8a3b8fc148"></a>
    1351. 

  1351. <div class="memitem">
    1352. 

  1352. <div class="memproto">
    1353. 

  1353.       <table class="memname">
    1354. 

  1354.         <tr>
    1355. 

  1355.           <td class="memname">arm_status arm_convolve_HWC_q7_RGB </td>
    1356. 

  1356.           <td>(</td>
    1357. 

  1357.           <td class="paramtype">const q7_t *&#160;</td>
    1358. 

  1358.           <td class="paramname"><em>Im_in</em>, </td>
    1359. 

  1359.         </tr>
    1360. 

  1360.         <tr>
    1361. 

  1361.           <td class="paramkey"></td>
    1362. 

  1362.           <td></td>
    1363. 

  1363.           <td class="paramtype">const uint16_t&#160;</td>
    1364. 

  1364.           <td class="paramname"><em>dim_im_in</em>, </td>
    1365. 

  1365.         </tr>
    1366. 

  1366.         <tr>
    1367. 

  1367.           <td class="paramkey"></td>
    1368. 

  1368.           <td></td>
    1369. 

  1369.           <td class="paramtype">const uint16_t&#160;</td>
    1370. 

  1370.           <td class="paramname"><em>ch_im_in</em>, </td>
    1371. 

  1371.         </tr>
    1372. 

  1372.         <tr>
    1373. 

  1373.           <td class="paramkey"></td>
    1374. 

  1374.           <td></td>
    1375. 

  1375.           <td class="paramtype">const q7_t *&#160;</td>
    1376. 

  1376.           <td class="paramname"><em>wt</em>, </td>
    1377. 

  1377.         </tr>
    1378. 

  1378.         <tr>
    1379. 

  1379.           <td class="paramkey"></td>
    1380. 

  1380.           <td></td>
    1381. 

  1381.           <td class="paramtype">const uint16_t&#160;</td>
    1382. 

  1382.           <td class="paramname"><em>ch_im_out</em>, </td>
    1383. 

  1383.         </tr>
    1384. 

  1384.         <tr>
    1385. 

  1385.           <td class="paramkey"></td>
    1386. 

  1386.           <td></td>
    1387. 

  1387.           <td class="paramtype">const uint16_t&#160;</td>
    1388. 

  1388.           <td class="paramname"><em>dim_kernel</em>, </td>
    1389. 

  1389.         </tr>
    1390. 

  1390.         <tr>
    1391. 

  1391.           <td class="paramkey"></td>
    1392. 

  1392.           <td></td>
    1393. 

  1393.           <td class="paramtype">const uint16_t&#160;</td>
    1394. 

  1394.           <td class="paramname"><em>padding</em>, </td>
    1395. 

  1395.         </tr>
    1396. 

  1396.         <tr>
    1397. 

  1397.           <td class="paramkey"></td>
    1398. 

  1398.           <td></td>
    1399. 

  1399.           <td class="paramtype">const uint16_t&#160;</td>
    1400. 

  1400.           <td class="paramname"><em>stride</em>, </td>
    1401. 

  1401.         </tr>
    1402. 

  1402.         <tr>
    1403. 

  1403.           <td class="paramkey"></td>
    1404. 

  1404.           <td></td>
    1405. 

  1405.           <td class="paramtype">const q7_t *&#160;</td>
    1406. 

  1406.           <td class="paramname"><em>bias</em>, </td>
    1407. 

  1407.         </tr>
    1408. 

  1408.         <tr>
    1409. 

  1409.           <td class="paramkey"></td>
    1410. 

  1410.           <td></td>
    1411. 

  1411.           <td class="paramtype">const uint16_t&#160;</td>
    1412. 

  1412.           <td class="paramname"><em>bias_shift</em>, </td>
    1413. 

  1413.         </tr>
    1414. 

  1414.         <tr>
    1415. 

  1415.           <td class="paramkey"></td>
    1416. 

  1416.           <td></td>
    1417. 

  1417.           <td class="paramtype">const uint16_t&#160;</td>
    1418. 

  1418.           <td class="paramname"><em>out_shift</em>, </td>
    1419. 

  1419.         </tr>
    1420. 

  1420.         <tr>
    1421. 

  1421.           <td class="paramkey"></td>
    1422. 

  1422.           <td></td>
    1423. 

  1423.           <td class="paramtype">q7_t *&#160;</td>
    1424. 

  1424.           <td class="paramname"><em>Im_out</em>, </td>
    1425. 

  1425.         </tr>
    1426. 

  1426.         <tr>
    1427. 

  1427.           <td class="paramkey"></td>
    1428. 

  1428.           <td></td>
    1429. 

  1429.           <td class="paramtype">const uint16_t&#160;</td>
    1430. 

  1430.           <td class="paramname"><em>dim_im_out</em>, </td>
    1431. 

  1431.         </tr>
    1432. 

  1432.         <tr>
    1433. 

  1433.           <td class="paramkey"></td>
    1434. 

  1434.           <td></td>
    1435. 

  1435.           <td class="paramtype">q15_t *&#160;</td>
    1436. 

  1436.           <td class="paramname"><em>bufferA</em>, </td>
    1437. 

  1437.         </tr>
    1438. 

  1438.         <tr>
    1439. 

  1439.           <td class="paramkey"></td>
    1440. 

  1440.           <td></td>
    1441. 

  1441.           <td class="paramtype">q7_t *&#160;</td>
    1442. 

  1442.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1443. 

  1443.         </tr>
    1444. 

  1444.         <tr>
    1445. 

  1445.           <td></td>
    1446. 

  1446.           <td>)</td>
    1447. 

  1447.           <td></td><td></td>
    1448. 

  1448.         </tr>
    1449. 

  1449.       </table>
    1450. 

  1450. </div><div class="memdoc">
    1451. 

  1451. <p>Q7 version of convolution for RGB image.</p>
    1452. 

  1452. <dl class="params"><dt>Parameters</dt><dd>
    1453. 

  1453.   <table class="params">
    1454. 

  1454.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1455. 

  1455.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1456. 

  1456.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1457. 

  1457.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1458. 

  1458.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1459. 

  1459.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1460. 

  1460.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1461. 

  1461.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1462. 

  1462.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1463. 

  1463.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1464. 

  1464.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1465. 

  1465.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1466. 

  1466.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1467. 

  1467.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1468. 

  1468.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1469. 

  1469.   </table>
    1470. 

  1470.   </dd>
    1471. 

  1471. </dl>
    1472. 

  1472. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    1473. 

  1473. <p><b>Buffer size:</b></p>
    1474. 

  1474. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1475. 

  1475. <p>bufferB size: 0</p>
    1476. 

  1476. <p><b>Input dimension constraints:</b></p>
    1477. 

  1477. <p>ch_im_in equals 3</p>
    1478. 

  1478. <p>This kernel is written exclusively for convolution with ch_im_in equals 3. This applies on the first layer of CNNs which has input image with RGB format. </p>
    1479. 

  1479. 

  1480. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="unionarm__nnword.html#a9b5e49e4e2c4b7203e07b305386bb2ba">arm_nnword::half_words</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
    1481. 

  1481. 

  1482. <p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
    1483. 

  1483. 

  1484. </div>
    1485. 

  1485. </div>
    1486. 

  1486. <a class="anchor" id="gad3d21b3bc6dbd6f3b97d01104349cb0a"></a>
    1487. 

  1487. <div class="memitem">
    1488. 

  1488. <div class="memproto">
    1489. 

  1489.       <table class="memname">
    1490. 

  1490.         <tr>
    1491. 

  1491.           <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7 </td>
    1492. 

  1492.           <td>(</td>
    1493. 

  1493.           <td class="paramtype">const q7_t *&#160;</td>
    1494. 

  1494.           <td class="paramname"><em>Im_in</em>, </td>
    1495. 

  1495.         </tr>
    1496. 

  1496.         <tr>
    1497. 

  1497.           <td class="paramkey"></td>
    1498. 

  1498.           <td></td>
    1499. 

  1499.           <td class="paramtype">const uint16_t&#160;</td>
    1500. 

  1500.           <td class="paramname"><em>dim_im_in</em>, </td>
    1501. 

  1501.         </tr>
    1502. 

  1502.         <tr>
    1503. 

  1503.           <td class="paramkey"></td>
    1504. 

  1504.           <td></td>
    1505. 

  1505.           <td class="paramtype">const uint16_t&#160;</td>
    1506. 

  1506.           <td class="paramname"><em>ch_im_in</em>, </td>
    1507. 

  1507.         </tr>
    1508. 

  1508.         <tr>
    1509. 

  1509.           <td class="paramkey"></td>
    1510. 

  1510.           <td></td>
    1511. 

  1511.           <td class="paramtype">const q7_t *&#160;</td>
    1512. 

  1512.           <td class="paramname"><em>wt</em>, </td>
    1513. 

  1513.         </tr>
    1514. 

  1514.         <tr>
    1515. 

  1515.           <td class="paramkey"></td>
    1516. 

  1516.           <td></td>
    1517. 

  1517.           <td class="paramtype">const uint16_t&#160;</td>
    1518. 

  1518.           <td class="paramname"><em>ch_im_out</em>, </td>
    1519. 

  1519.         </tr>
    1520. 

  1520.         <tr>
    1521. 

  1521.           <td class="paramkey"></td>
    1522. 

  1522.           <td></td>
    1523. 

  1523.           <td class="paramtype">const uint16_t&#160;</td>
    1524. 

  1524.           <td class="paramname"><em>dim_kernel</em>, </td>
    1525. 

  1525.         </tr>
    1526. 

  1526.         <tr>
    1527. 

  1527.           <td class="paramkey"></td>
    1528. 

  1528.           <td></td>
    1529. 

  1529.           <td class="paramtype">const uint16_t&#160;</td>
    1530. 

  1530.           <td class="paramname"><em>padding</em>, </td>
    1531. 

  1531.         </tr>
    1532. 

  1532.         <tr>
    1533. 

  1533.           <td class="paramkey"></td>
    1534. 

  1534.           <td></td>
    1535. 

  1535.           <td class="paramtype">const uint16_t&#160;</td>
    1536. 

  1536.           <td class="paramname"><em>stride</em>, </td>
    1537. 

  1537.         </tr>
    1538. 

  1538.         <tr>
    1539. 

  1539.           <td class="paramkey"></td>
    1540. 

  1540.           <td></td>
    1541. 

  1541.           <td class="paramtype">const q7_t *&#160;</td>
    1542. 

  1542.           <td class="paramname"><em>bias</em>, </td>
    1543. 

  1543.         </tr>
    1544. 

  1544.         <tr>
    1545. 

  1545.           <td class="paramkey"></td>
    1546. 

  1546.           <td></td>
    1547. 

  1547.           <td class="paramtype">const uint16_t&#160;</td>
    1548. 

  1548.           <td class="paramname"><em>bias_shift</em>, </td>
    1549. 

  1549.         </tr>
    1550. 

  1550.         <tr>
    1551. 

  1551.           <td class="paramkey"></td>
    1552. 

  1552.           <td></td>
    1553. 

  1553.           <td class="paramtype">const uint16_t&#160;</td>
    1554. 

  1554.           <td class="paramname"><em>out_shift</em>, </td>
    1555. 

  1555.         </tr>
    1556. 

  1556.         <tr>
    1557. 

  1557.           <td class="paramkey"></td>
    1558. 

  1558.           <td></td>
    1559. 

  1559.           <td class="paramtype">q7_t *&#160;</td>
    1560. 

  1560.           <td class="paramname"><em>Im_out</em>, </td>
    1561. 

  1561.         </tr>
    1562. 

  1562.         <tr>
    1563. 

  1563.           <td class="paramkey"></td>
    1564. 

  1564.           <td></td>
    1565. 

  1565.           <td class="paramtype">const uint16_t&#160;</td>
    1566. 

  1566.           <td class="paramname"><em>dim_im_out</em>, </td>
    1567. 

  1567.         </tr>
    1568. 

  1568.         <tr>
    1569. 

  1569.           <td class="paramkey"></td>
    1570. 

  1570.           <td></td>
    1571. 

  1571.           <td class="paramtype">q15_t *&#160;</td>
    1572. 

  1572.           <td class="paramname"><em>bufferA</em>, </td>
    1573. 

  1573.         </tr>
    1574. 

  1574.         <tr>
    1575. 

  1575.           <td class="paramkey"></td>
    1576. 

  1576.           <td></td>
    1577. 

  1577.           <td class="paramtype">q7_t *&#160;</td>
    1578. 

  1578.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1579. 

  1579.         </tr>
    1580. 

  1580.         <tr>
    1581. 

  1581.           <td></td>
    1582. 

  1582.           <td>)</td>
    1583. 

  1583.           <td></td><td></td>
    1584. 

  1584.         </tr>
    1585. 

  1585.       </table>
    1586. 

  1586. </div><div class="memdoc">
    1587. 

  1587. <dl class="params"><dt>Parameters</dt><dd>
    1588. 

  1588.   <table class="params">
    1589. 

  1589.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1590. 

  1590.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1591. 

  1591.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1592. 

  1592.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1593. 

  1593.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1594. 

  1594.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1595. 

  1595.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1596. 

  1596.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1597. 

  1597.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1598. 

  1598.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1599. 

  1599.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1600. 

  1600.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1601. 

  1601.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1602. 

  1602.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1603. 

  1603.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1604. 

  1604.   </table>
    1605. 

  1605.   </dd>
    1606. 

  1606. </dl>
    1607. 

  1607. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    1608. 

  1608. <p><b>Buffer size:</b></p>
    1609. 

  1609. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1610. 

  1610. <p>bufferB size: 0</p>
    1611. 

  1611. <p><b>Input dimension constraints:</b></p>
    1612. 

  1612. <p>ch_im_in equals ch_im_out</p>
    1613. 

  1613. <p>Implementation: There are 3 nested loop here: Inner loop: calculate each output value with MAC instruction over an accumulator Mid loop: loop over different output channel Outer loop: loop over different output (x, y) </p>
    1614. 

  1614. 

  1615. <p>References <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword::bytes</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
    1616. 

  1616. 

  1617. </div>
    1618. 

  1618. </div>
    1619. 

  1619. <a class="anchor" id="ga32ac508c5467813a84f74f96655dc697"></a>
    1620. 

  1620. <div class="memitem">
    1621. 

  1621. <div class="memproto">
    1622. 

  1622.       <table class="memname">
    1623. 

  1623.         <tr>
    1624. 

  1624.           <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7_nonsquare </td>
    1625. 

  1625.           <td>(</td>
    1626. 

  1626.           <td class="paramtype">const q7_t *&#160;</td>
    1627. 

  1627.           <td class="paramname"><em>Im_in</em>, </td>
    1628. 

  1628.         </tr>
    1629. 

  1629.         <tr>
    1630. 

  1630.           <td class="paramkey"></td>
    1631. 

  1631.           <td></td>
    1632. 

  1632.           <td class="paramtype">const uint16_t&#160;</td>
    1633. 

  1633.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    1634. 

  1634.         </tr>
    1635. 

  1635.         <tr>
    1636. 

  1636.           <td class="paramkey"></td>
    1637. 

  1637.           <td></td>
    1638. 

  1638.           <td class="paramtype">const uint16_t&#160;</td>
    1639. 

  1639.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    1640. 

  1640.         </tr>
    1641. 

  1641.         <tr>
    1642. 

  1642.           <td class="paramkey"></td>
    1643. 

  1643.           <td></td>
    1644. 

  1644.           <td class="paramtype">const uint16_t&#160;</td>
    1645. 

  1645.           <td class="paramname"><em>ch_im_in</em>, </td>
    1646. 

  1646.         </tr>
    1647. 

  1647.         <tr>
    1648. 

  1648.           <td class="paramkey"></td>
    1649. 

  1649.           <td></td>
    1650. 

  1650.           <td class="paramtype">const q7_t *&#160;</td>
    1651. 

  1651.           <td class="paramname"><em>wt</em>, </td>
    1652. 

  1652.         </tr>
    1653. 

  1653.         <tr>
    1654. 

  1654.           <td class="paramkey"></td>
    1655. 

  1655.           <td></td>
    1656. 

  1656.           <td class="paramtype">const uint16_t&#160;</td>
    1657. 

  1657.           <td class="paramname"><em>ch_im_out</em>, </td>
    1658. 

  1658.         </tr>
    1659. 

  1659.         <tr>
    1660. 

  1660.           <td class="paramkey"></td>
    1661. 

  1661.           <td></td>
    1662. 

  1662.           <td class="paramtype">const uint16_t&#160;</td>
    1663. 

  1663.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    1664. 

  1664.         </tr>
    1665. 

  1665.         <tr>
    1666. 

  1666.           <td class="paramkey"></td>
    1667. 

  1667.           <td></td>
    1668. 

  1668.           <td class="paramtype">const uint16_t&#160;</td>
    1669. 

  1669.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    1670. 

  1670.         </tr>
    1671. 

  1671.         <tr>
    1672. 

  1672.           <td class="paramkey"></td>
    1673. 

  1673.           <td></td>
    1674. 

  1674.           <td class="paramtype">const uint16_t&#160;</td>
    1675. 

  1675.           <td class="paramname"><em>padding_x</em>, </td>
    1676. 

  1676.         </tr>
    1677. 

  1677.         <tr>
    1678. 

  1678.           <td class="paramkey"></td>
    1679. 

  1679.           <td></td>
    1680. 

  1680.           <td class="paramtype">const uint16_t&#160;</td>
    1681. 

  1681.           <td class="paramname"><em>padding_y</em>, </td>
    1682. 

  1682.         </tr>
    1683. 

  1683.         <tr>
    1684. 

  1684.           <td class="paramkey"></td>
    1685. 

  1685.           <td></td>
    1686. 

  1686.           <td class="paramtype">const uint16_t&#160;</td>
    1687. 

  1687.           <td class="paramname"><em>stride_x</em>, </td>
    1688. 

  1688.         </tr>
    1689. 

  1689.         <tr>
    1690. 

  1690.           <td class="paramkey"></td>
    1691. 

  1691.           <td></td>
    1692. 

  1692.           <td class="paramtype">const uint16_t&#160;</td>
    1693. 

  1693.           <td class="paramname"><em>stride_y</em>, </td>
    1694. 

  1694.         </tr>
    1695. 

  1695.         <tr>
    1696. 

  1696.           <td class="paramkey"></td>
    1697. 

  1697.           <td></td>
    1698. 

  1698.           <td class="paramtype">const q7_t *&#160;</td>
    1699. 

  1699.           <td class="paramname"><em>bias</em>, </td>
    1700. 

  1700.         </tr>
    1701. 

  1701.         <tr>
    1702. 

  1702.           <td class="paramkey"></td>
    1703. 

  1703.           <td></td>
    1704. 

  1704.           <td class="paramtype">const uint16_t&#160;</td>
    1705. 

  1705.           <td class="paramname"><em>bias_shift</em>, </td>
    1706. 

  1706.         </tr>
    1707. 

  1707.         <tr>
    1708. 

  1708.           <td class="paramkey"></td>
    1709. 

  1709.           <td></td>
    1710. 

  1710.           <td class="paramtype">const uint16_t&#160;</td>
    1711. 

  1711.           <td class="paramname"><em>out_shift</em>, </td>
    1712. 

  1712.         </tr>
    1713. 

  1713.         <tr>
    1714. 

  1714.           <td class="paramkey"></td>
    1715. 

  1715.           <td></td>
    1716. 

  1716.           <td class="paramtype">q7_t *&#160;</td>
    1717. 

  1717.           <td class="paramname"><em>Im_out</em>, </td>
    1718. 

  1718.         </tr>
    1719. 

  1719.         <tr>
    1720. 

  1720.           <td class="paramkey"></td>
    1721. 

  1721.           <td></td>
    1722. 

  1722.           <td class="paramtype">const uint16_t&#160;</td>
    1723. 

  1723.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    1724. 

  1724.         </tr>
    1725. 

  1725.         <tr>
    1726. 

  1726.           <td class="paramkey"></td>
    1727. 

  1727.           <td></td>
    1728. 

  1728.           <td class="paramtype">const uint16_t&#160;</td>
    1729. 

  1729.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    1730. 

  1730.         </tr>
    1731. 

  1731.         <tr>
    1732. 

  1732.           <td class="paramkey"></td>
    1733. 

  1733.           <td></td>
    1734. 

  1734.           <td class="paramtype">q15_t *&#160;</td>
    1735. 

  1735.           <td class="paramname"><em>bufferA</em>, </td>
    1736. 

  1736.         </tr>
    1737. 

  1737.         <tr>
    1738. 

  1738.           <td class="paramkey"></td>
    1739. 

  1739.           <td></td>
    1740. 

  1740.           <td class="paramtype">q7_t *&#160;</td>
    1741. 

  1741.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1742. 

  1742.         </tr>
    1743. 

  1743.         <tr>
    1744. 

  1744.           <td></td>
    1745. 

  1745.           <td>)</td>
    1746. 

  1746.           <td></td><td></td>
    1747. 

  1747.         </tr>
    1748. 

  1748.       </table>
    1749. 

  1749. </div><div class="memdoc">
    1750. 

  1750. <dl class="params"><dt>Parameters</dt><dd>
    1751. 

  1751.   <table class="params">
    1752. 

  1752.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1753. 

  1753.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1754. 

  1754.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1755. 

  1755.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1756. 

  1756.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1757. 

  1757.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1758. 

  1758.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1759. 

  1759.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1760. 

  1760.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding sizes x </td></tr>
    1761. 

  1761.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding sizes y </td></tr>
    1762. 

  1762.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1763. 

  1763.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1764. 

  1764.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1765. 

  1765.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1766. 

  1766.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1767. 

  1767.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1768. 

  1768.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1769. 

  1769.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1770. 

  1770.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1771. 

  1771.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1772. 

  1772.   </table>
    1773. 

  1773.   </dd>
    1774. 

  1774. </dl>
    1775. 

  1775. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> or <code>ARM_MATH_SUCCESS</code> based on the outcome of size checking.</dd></dl>
    1776. 

  1776. <p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is multiple of 2 ch_im_out is multiple of 2 </p>
    1777. 

  1777. 

  1778. <p>References <a class="el" href="unionarm__nnword.html#ac7cff6480a8e29d95f29b73cb1267249">arm_nnword::bytes</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>, and <a class="el" href="unionarm__nnword.html#a35c7b2ae25e35e0ddcd9ec0a1a6f8d18">arm_nnword::word</a>.</p>
    1779. 

  1779. 

  1780. </div>
    1781. 

  1781. </div>
    1782. 

  1782. </div><!-- contents -->
    1783. 

  1783. </div><!-- doc-content -->
    1784. 

  1784. <!-- start footer part -->
    1785. 

  1785. <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
    1786. 

  1786.   <ul>
    1787. 

  1787.     <li class="footer">Generated on Wed Aug 1 2018 17:12:32 for CMSIS-NN by Arm Ltd. All rights reserved.
    1788. 

  1788. 	<!--
    1789. 

  1789.     <a href="http://www.doxygen.org/index.html">
    1790. 

  1790.     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 
    1791. 

  1791. 	-->
    1792. 

  1792. 	</li>
    1793. 

  1793.   </ul>
    1794. 

  1794. </div>
    1795. 

  1795. </body>
    1796. 

  1796. </html>
    1797.