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

  119. <tr class="memitem:ga2d9c129189832572cf0bc97ff9e73e54"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga2d9c129189832572cf0bc97ff9e73e54">arm_convolve_1_x_n_s8</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_ch, const uint16_t input_batches, const q7_t *kernel, const uint16_t output_ch, const uint16_t kernel_x, const uint16_t pad_x, const uint16_t stride_x, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const int32_t out_offset, const int32_t input_offset, const int32_t out_activation_min, const int32_t out_activation_max, const uint16_t output_x, q15_t *buffer_a)</td></tr>
    120. 

  120. <tr class="memdesc:ga2d9c129189832572cf0bc97ff9e73e54"><td class="mdescLeft">&#160;</td><td class="mdescRight">1xn convolution  <a href="#ga2d9c129189832572cf0bc97ff9e73e54">More...</a><br/></td></tr>
    121. 

  121. <tr class="separator:ga2d9c129189832572cf0bc97ff9e73e54"><td class="memSeparator" colspan="2">&#160;</td></tr>
    122. 

  122. <tr class="memitem:gab34cb94c592df768774d8bcac03d7e5c"><td class="memItemLeft" align="right" valign="top">int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gab34cb94c592df768774d8bcac03d7e5c">arm_convolve_1_x_n_s8_get_buffer_size</a> (const uint16_t input_ch, const uint16_t kernel_x, const uint16_t kernel_y)</td></tr>
    123. 

  123. <tr class="memdesc:gab34cb94c592df768774d8bcac03d7e5c"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the required additional buffer size for 1xn convolution.  <a href="#gab34cb94c592df768774d8bcac03d7e5c">More...</a><br/></td></tr>
    124. 

  124. <tr class="separator:gab34cb94c592df768774d8bcac03d7e5c"><td class="memSeparator" colspan="2">&#160;</td></tr>
    125. 

  125. <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>
    126. 

  126. <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>
    127. 

  127. <tr class="separator:ga110adcfdaab356c750c6270aa5e05f29"><td class="memSeparator" colspan="2">&#160;</td></tr>
    128. 

  128. <tr class="memitem:gadfcad0bae34328dc806dc88cde173faa"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gadfcad0bae34328dc806dc88cde173faa">arm_convolve_1x1_s8_fast</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const uint16_t input_batches, const q7_t *kernel, const uint16_t output_ch, const uint16_t pad_x, const uint16_t pad_y, const uint16_t stride_x, const uint16_t stride_y, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const int32_t out_offset, const int32_t input_offset, const int32_t out_activation_min, const int32_t out_activation_max, const uint16_t output_x, const uint16_t output_y, q15_t *buffer_a)</td></tr>
    129. 

  129. <tr class="memdesc:gadfcad0bae34328dc806dc88cde173faa"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast s8 version for 1x1 convolution (non-square shape)  <a href="#gadfcad0bae34328dc806dc88cde173faa">More...</a><br/></td></tr>
    130. 

  130. <tr class="separator:gadfcad0bae34328dc806dc88cde173faa"><td class="memSeparator" colspan="2">&#160;</td></tr>
    131. 

  131. <tr class="memitem:ga09ed5df0234c7eb334a7264dd9e4c833"><td class="memItemLeft" align="right" valign="top">int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga09ed5df0234c7eb334a7264dd9e4c833">arm_convolve_1x1_s8_fast_get_buffer_size</a> (const uint16_t input_ch)</td></tr>
    132. 

  132. <tr class="memdesc:ga09ed5df0234c7eb334a7264dd9e4c833"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the required buffer size for the fast 1x1 convolution (non-square shape) s8 convolution function.  <a href="#ga09ed5df0234c7eb334a7264dd9e4c833">More...</a><br/></td></tr>
    133. 

  133. <tr class="separator:ga09ed5df0234c7eb334a7264dd9e4c833"><td class="memSeparator" colspan="2">&#160;</td></tr>
    134. 

  134. <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>
    135. 

  135. <tr class="memdesc:ga55701f213b198084b52eab53097f1f58"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q15 convolution function.  <a href="#ga55701f213b198084b52eab53097f1f58">More...</a><br/></td></tr>
    136. 

  136. <tr class="separator:ga55701f213b198084b52eab53097f1f58"><td class="memSeparator" colspan="2">&#160;</td></tr>
    137. 

  137. <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>
    138. 

  138. <tr class="memdesc:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q15 convolution function.  <a href="#ga4efb1ccbbaa7dd936961989dcb443f50">More...</a><br/></td></tr>
    139. 

  139. <tr class="separator:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memSeparator" colspan="2">&#160;</td></tr>
    140. 

  140. <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>
    141. 

  141. <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>
    142. 

  142. <tr class="separator:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memSeparator" colspan="2">&#160;</td></tr>
    143. 

  143. <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>
    144. 

  144. <tr class="memdesc:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic Q7 convolution function.  <a href="#ga210ae8d8fc1d12ee15b41f1fa6947681">More...</a><br/></td></tr>
    145. 

  145. <tr class="separator:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memSeparator" colspan="2">&#160;</td></tr>
    146. 

  146. <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>
    147. 

  147. <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>
    148. 

  148. <tr class="separator:ga4501fa22c0836002aa47ccc313dce252"><td class="memSeparator" colspan="2">&#160;</td></tr>
    149. 

  149. <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>
    150. 

  150. <tr class="memdesc:gae00d3c1285907d59657369fc98bcc83f"><td class="mdescLeft">&#160;</td><td class="mdescRight">Fast Q7 convolution function.  <a href="#gae00d3c1285907d59657369fc98bcc83f">More...</a><br/></td></tr>
    151. 

  151. <tr class="separator:gae00d3c1285907d59657369fc98bcc83f"><td class="memSeparator" colspan="2">&#160;</td></tr>
    152. 

  152. <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>
    153. 

  153. <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>
    154. 

  154. <tr class="separator:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memSeparator" colspan="2">&#160;</td></tr>
    155. 

  155. <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>
    156. 

  156. <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>
    157. 

  157. <tr class="separator:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memSeparator" colspan="2">&#160;</td></tr>
    158. 

  158. <tr class="memitem:ga6a0b2161ece62078228ead2d85bbcf28"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga6a0b2161ece62078228ead2d85bbcf28">arm_convolve_s8</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const uint16_t input_batches, const q7_t *kernel, const uint16_t output_ch, const uint16_t kernel_x, const uint16_t kernel_y, const uint16_t pad_x, const uint16_t pad_y, const uint16_t stride_x, const uint16_t stride_y, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const int32_t out_offset, const int32_t input_offset, const int32_t out_activation_min, const int32_t out_activation_max, const uint16_t output_x, const uint16_t output_y, q15_t *buffer_a)</td></tr>
    159. 

  159. <tr class="memdesc:ga6a0b2161ece62078228ead2d85bbcf28"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic s8 convolution function.  <a href="#ga6a0b2161ece62078228ead2d85bbcf28">More...</a><br/></td></tr>
    160. 

  160. <tr class="separator:ga6a0b2161ece62078228ead2d85bbcf28"><td class="memSeparator" colspan="2">&#160;</td></tr>
    161. 

  161. <tr class="memitem:gaaf83450fd2d89432d9759df99b05737b"><td class="memItemLeft" align="right" valign="top">int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gaaf83450fd2d89432d9759df99b05737b">arm_convolve_s8_get_buffer_size</a> (const uint16_t input_ch, const uint16_t kernel_x, const uint16_t kernel_y)</td></tr>
    162. 

  162. <tr class="memdesc:gaaf83450fd2d89432d9759df99b05737b"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the required buffer size for s8 convolution function.  <a href="#gaaf83450fd2d89432d9759df99b05737b">More...</a><br/></td></tr>
    163. 

  163. <tr class="separator:gaaf83450fd2d89432d9759df99b05737b"><td class="memSeparator" colspan="2">&#160;</td></tr>
    164. 

  164. <tr class="memitem:gae86b03224e6edf28f54247594b6c8bf9"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gae86b03224e6edf28f54247594b6c8bf9">arm_depthwise_conv_3x3_s8</a> (const int8_t *input, const int32_t input_x, const int32_t input_y, const int32_t input_ch, const int8_t *kernel, const int32_t output_ch, const int32_t pad_x, const int32_t pad_y, const int32_t stride_x, const int32_t stride_y, const int32_t *bias, int8_t *output, const int32_t *output_shift, const int32_t *output_mult, const int32_t output_x, const int32_t output_y, const int32_t output_offset, const int32_t input_offset, const int32_t output_activation_min, const int32_t output_activation_max, const int32_t dilation_x, const int32_t dilation_y, int16_t *buffer_a)</td></tr>
    165. 

  165. <tr class="memdesc:gae86b03224e6edf28f54247594b6c8bf9"><td class="mdescLeft">&#160;</td><td class="mdescRight">Optimized s8 depthwise convolution function for 3x3 kernel size with constraint that in_channel equals out_channel.  <a href="#gae86b03224e6edf28f54247594b6c8bf9">More...</a><br/></td></tr>
    166. 

  166. <tr class="separator:gae86b03224e6edf28f54247594b6c8bf9"><td class="memSeparator" colspan="2">&#160;</td></tr>
    167. 

  167. <tr class="memitem:ga06d7783f6788faad5165fd0ae583bc59"><td class="memItemLeft" align="right" valign="top">static void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga06d7783f6788faad5165fd0ae583bc59">depthwise_conv_s8_mult_4</a> (const int8_t *input, const int32_t input_x, const int32_t input_y, const int32_t input_ch, const int8_t *kernel, const int32_t output_ch, const int32_t ch_mult, const int32_t kernel_x, const int32_t kernel_y, const int32_t pad_x, const int32_t pad_y, const int32_t stride_x, const int32_t stride_y, const int32_t *bias, int8_t *output, const int32_t *output_shift, const int32_t *output_mult, const int32_t output_x, const int32_t output_y, const int32_t output_offset, const int32_t input_offset, const int32_t output_activation_min, const int32_t output_activation_max)</td></tr>
    168. 

  168. <tr class="separator:ga06d7783f6788faad5165fd0ae583bc59"><td class="memSeparator" colspan="2">&#160;</td></tr>
    169. 

  169. <tr class="memitem:ga00ec3089e06c8953b4e12582583261c9"><td class="memItemLeft" align="right" valign="top">static void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga00ec3089e06c8953b4e12582583261c9">depthwise_conv_s8_generic</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const q7_t *kernel, const uint16_t output_ch, const uint16_t ch_mult, const uint16_t kernel_x, const uint16_t kernel_y, const uint16_t pad_x, const uint16_t pad_y, const uint16_t stride_x, const uint16_t stride_y, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const uint16_t output_x, const uint16_t output_y, const int32_t output_offset, const int32_t input_offset, const int32_t output_activation_min, const int32_t output_activation_max)</td></tr>
    170. 

  170. <tr class="separator:ga00ec3089e06c8953b4e12582583261c9"><td class="memSeparator" colspan="2">&#160;</td></tr>
    171. 

  171. <tr class="memitem:gae7e0c94c970bfd59d9c5e2331ce84fe7"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gae7e0c94c970bfd59d9c5e2331ce84fe7">arm_depthwise_conv_s8</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const q7_t *kernel, const uint16_t output_ch, const uint16_t ch_mult, const uint16_t kernel_x, const uint16_t kernel_y, const uint16_t pad_x, const uint16_t pad_y, const uint16_t stride_x, const uint16_t stride_y, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const uint16_t output_x, const uint16_t output_y, const int32_t output_offset, const int32_t input_offset, const int32_t output_activation_min, const int32_t output_activation_max, const uint16_t dilation_x, const uint16_t dilation_y, q15_t *buffer_a)</td></tr>
    172. 

  172. <tr class="memdesc:gae7e0c94c970bfd59d9c5e2331ce84fe7"><td class="mdescLeft">&#160;</td><td class="mdescRight">Basic s8 depthwise convolution function.  <a href="#gae7e0c94c970bfd59d9c5e2331ce84fe7">More...</a><br/></td></tr>
    173. 

  173. <tr class="separator:gae7e0c94c970bfd59d9c5e2331ce84fe7"><td class="memSeparator" colspan="2">&#160;</td></tr>
    174. 

  174. <tr class="memitem:ga3acc8b0cd5bd5d975fdf5a615261f0b1"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga3acc8b0cd5bd5d975fdf5a615261f0b1">arm_depthwise_conv_s8_opt</a> (const q7_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const q7_t *kernel, const uint16_t output_ch, const uint16_t kernel_x, const uint16_t kernel_y, const uint16_t pad_x, const uint16_t pad_y, const uint16_t stride_x, const uint16_t stride_y, const int32_t *bias, q7_t *output, const int32_t *output_shift, const int32_t *output_mult, const uint16_t output_x, const uint16_t output_y, const int32_t output_offset, const int32_t input_offset, const int32_t output_activation_min, const int32_t output_activation_max, const uint16_t dilation_x, const uint16_t dilation_y, q15_t *buffer_a)</td></tr>
    175. 

  175. <tr class="memdesc:ga3acc8b0cd5bd5d975fdf5a615261f0b1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Optimized s8 depthwise convolution function with constraint that in_channel equals out_channel.  <a href="#ga3acc8b0cd5bd5d975fdf5a615261f0b1">More...</a><br/></td></tr>
    176. 

  176. <tr class="separator:ga3acc8b0cd5bd5d975fdf5a615261f0b1"><td class="memSeparator" colspan="2">&#160;</td></tr>
    177. 

  177. <tr class="memitem:gaa53d31632c765b9b4bbd490d0ae3c0c1"><td class="memItemLeft" align="right" valign="top">int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#gaa53d31632c765b9b4bbd490d0ae3c0c1">arm_depthwise_conv_s8_opt_get_buffer_size</a> (const uint16_t input_ch, const uint16_t kernel_x, const uint16_t kernel_y)</td></tr>
    178. 

  178. <tr class="memdesc:gaa53d31632c765b9b4bbd490d0ae3c0c1"><td class="mdescLeft">&#160;</td><td class="mdescRight">Get the required buffer size for optimized s8 depthwise convolution function with constraint that in_channel equals out_channel.  <a href="#gaa53d31632c765b9b4bbd490d0ae3c0c1">More...</a><br/></td></tr>
    179. 

  179. <tr class="separator:gaa53d31632c765b9b4bbd490d0ae3c0c1"><td class="memSeparator" colspan="2">&#160;</td></tr>
    180. 

  180. <tr class="memitem:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="memItemLeft" align="right" valign="top">arm_status&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="group__NNConv.html#ga02a296cb4f6361a70c3ecf1ef1238292">arm_depthwise_conv_u8_basic_ver1</a> (const uint8_t *input, const uint16_t input_x, const uint16_t input_y, const uint16_t input_ch, const uint8_t *kernel, const uint16_t kernel_x, const uint16_t kernel_y, const int16_t ch_mult, const int16_t pad_x, const int16_t pad_y, const int16_t stride_x, const int16_t stride_y, const int16_t dilation_x, const int16_t dilation_y, const int32_t *bias, const int32_t input_offset, const int32_t filter_offset, const int32_t output_offset, uint8_t *output, const uint16_t output_x, const uint16_t output_y, const int32_t output_activation_min, const int32_t output_activation_max, const int32_t out_shift, const int32_t out_mult)</td></tr>
    181. 

  181. <tr class="memdesc:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="mdescLeft">&#160;</td><td class="mdescRight">uint8 depthwise convolution function with asymmetric quantization for even number of channel multiplier and input channels. Unless specified otherwise, arguments are mandatory. Both square and non-square inputs are accepted.  <a href="#ga02a296cb4f6361a70c3ecf1ef1238292">More...</a><br/></td></tr>
    182. 

  182. <tr class="separator:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="memSeparator" colspan="2">&#160;</td></tr>
    183. 

  183. <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>
    184. 

  184. <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>
    185. 

  185. <tr class="separator:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memSeparator" colspan="2">&#160;</td></tr>
    186. 

  186. <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>
    187. 

  187. <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>
    188. 

  188. <tr class="separator:ga32ac508c5467813a84f74f96655dc697"><td class="memSeparator" colspan="2">&#160;</td></tr>
    189. 

  189. </table>
    190. 

  190. <a name="details" id="details"></a><h2 class="groupheader">Description</h2>
    191. 

  191. <p>Collection of convolution, depthwise convolution functions and their variants.</p>
    192. 

  192. <p>The convolution is implemented in 2 steps: im2col and GEMM</p>
    193. 

  193. <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>
    194. 

  194. <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>
    195. 

  195. <h2 class="groupheader">Function Documentation</h2>
    196. 

  196. <a class="anchor" id="ga2d9c129189832572cf0bc97ff9e73e54"></a>
    197. 

  197. <div class="memitem">
    198. 

  198. <div class="memproto">
    199. 

  199.       <table class="memname">
    200. 

  200.         <tr>
    201. 

  201.           <td class="memname">arm_status arm_convolve_1_x_n_s8 </td>
    202. 

  202.           <td>(</td>
    203. 

  203.           <td class="paramtype">const q7_t *&#160;</td>
    204. 

  204.           <td class="paramname"><em>input</em>, </td>
    205. 

  205.         </tr>
    206. 

  206.         <tr>
    207. 

  207.           <td class="paramkey"></td>
    208. 

  208.           <td></td>
    209. 

  209.           <td class="paramtype">const uint16_t&#160;</td>
    210. 

  210.           <td class="paramname"><em>input_x</em>, </td>
    211. 

  211.         </tr>
    212. 

  212.         <tr>
    213. 

  213.           <td class="paramkey"></td>
    214. 

  214.           <td></td>
    215. 

  215.           <td class="paramtype">const uint16_t&#160;</td>
    216. 

  216.           <td class="paramname"><em>input_ch</em>, </td>
    217. 

  217.         </tr>
    218. 

  218.         <tr>
    219. 

  219.           <td class="paramkey"></td>
    220. 

  220.           <td></td>
    221. 

  221.           <td class="paramtype">const uint16_t&#160;</td>
    222. 

  222.           <td class="paramname"><em>input_batches</em>, </td>
    223. 

  223.         </tr>
    224. 

  224.         <tr>
    225. 

  225.           <td class="paramkey"></td>
    226. 

  226.           <td></td>
    227. 

  227.           <td class="paramtype">const q7_t *&#160;</td>
    228. 

  228.           <td class="paramname"><em>kernel</em>, </td>
    229. 

  229.         </tr>
    230. 

  230.         <tr>
    231. 

  231.           <td class="paramkey"></td>
    232. 

  232.           <td></td>
    233. 

  233.           <td class="paramtype">const uint16_t&#160;</td>
    234. 

  234.           <td class="paramname"><em>output_ch</em>, </td>
    235. 

  235.         </tr>
    236. 

  236.         <tr>
    237. 

  237.           <td class="paramkey"></td>
    238. 

  238.           <td></td>
    239. 

  239.           <td class="paramtype">const uint16_t&#160;</td>
    240. 

  240.           <td class="paramname"><em>kernel_x</em>, </td>
    241. 

  241.         </tr>
    242. 

  242.         <tr>
    243. 

  243.           <td class="paramkey"></td>
    244. 

  244.           <td></td>
    245. 

  245.           <td class="paramtype">const uint16_t&#160;</td>
    246. 

  246.           <td class="paramname"><em>pad_x</em>, </td>
    247. 

  247.         </tr>
    248. 

  248.         <tr>
    249. 

  249.           <td class="paramkey"></td>
    250. 

  250.           <td></td>
    251. 

  251.           <td class="paramtype">const uint16_t&#160;</td>
    252. 

  252.           <td class="paramname"><em>stride_x</em>, </td>
    253. 

  253.         </tr>
    254. 

  254.         <tr>
    255. 

  255.           <td class="paramkey"></td>
    256. 

  256.           <td></td>
    257. 

  257.           <td class="paramtype">const int32_t *&#160;</td>
    258. 

  258.           <td class="paramname"><em>bias</em>, </td>
    259. 

  259.         </tr>
    260. 

  260.         <tr>
    261. 

  261.           <td class="paramkey"></td>
    262. 

  262.           <td></td>
    263. 

  263.           <td class="paramtype">q7_t *&#160;</td>
    264. 

  264.           <td class="paramname"><em>output</em>, </td>
    265. 

  265.         </tr>
    266. 

  266.         <tr>
    267. 

  267.           <td class="paramkey"></td>
    268. 

  268.           <td></td>
    269. 

  269.           <td class="paramtype">const int32_t *&#160;</td>
    270. 

  270.           <td class="paramname"><em>output_shift</em>, </td>
    271. 

  271.         </tr>
    272. 

  272.         <tr>
    273. 

  273.           <td class="paramkey"></td>
    274. 

  274.           <td></td>
    275. 

  275.           <td class="paramtype">const int32_t *&#160;</td>
    276. 

  276.           <td class="paramname"><em>output_mult</em>, </td>
    277. 

  277.         </tr>
    278. 

  278.         <tr>
    279. 

  279.           <td class="paramkey"></td>
    280. 

  280.           <td></td>
    281. 

  281.           <td class="paramtype">const int32_t&#160;</td>
    282. 

  282.           <td class="paramname"><em>out_offset</em>, </td>
    283. 

  283.         </tr>
    284. 

  284.         <tr>
    285. 

  285.           <td class="paramkey"></td>
    286. 

  286.           <td></td>
    287. 

  287.           <td class="paramtype">const int32_t&#160;</td>
    288. 

  288.           <td class="paramname"><em>input_offset</em>, </td>
    289. 

  289.         </tr>
    290. 

  290.         <tr>
    291. 

  291.           <td class="paramkey"></td>
    292. 

  292.           <td></td>
    293. 

  293.           <td class="paramtype">const int32_t&#160;</td>
    294. 

  294.           <td class="paramname"><em>out_activation_min</em>, </td>
    295. 

  295.         </tr>
    296. 

  296.         <tr>
    297. 

  297.           <td class="paramkey"></td>
    298. 

  298.           <td></td>
    299. 

  299.           <td class="paramtype">const int32_t&#160;</td>
    300. 

  300.           <td class="paramname"><em>out_activation_max</em>, </td>
    301. 

  301.         </tr>
    302. 

  302.         <tr>
    303. 

  303.           <td class="paramkey"></td>
    304. 

  304.           <td></td>
    305. 

  305.           <td class="paramtype">const uint16_t&#160;</td>
    306. 

  306.           <td class="paramname"><em>output_x</em>, </td>
    307. 

  307.         </tr>
    308. 

  308.         <tr>
    309. 

  309.           <td class="paramkey"></td>
    310. 

  310.           <td></td>
    311. 

  311.           <td class="paramtype">q15_t *&#160;</td>
    312. 

  312.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    313. 

  313.         </tr>
    314. 

  314.         <tr>
    315. 

  315.           <td></td>
    316. 

  316.           <td>)</td>
    317. 

  317.           <td></td><td></td>
    318. 

  318.         </tr>
    319. 

  319.       </table>
    320. 

  320. </div><div class="memdoc">
    321. 

  321. <dl class="params"><dt>Parameters</dt><dd>
    322. 

  322.   <table class="params">
    323. 

  323.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Format: [N, H, W, in_ch] </td></tr>
    324. 

  324.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor dimension x </td></tr>
    325. 

  325.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    326. 

  326.     <tr><td class="paramdir">[in]</td><td class="paramname">input_batches</td><td>argument is not used. </td></tr>
    327. 

  327.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Format: [out_ch, H, W, in_ch] </td></tr>
    328. 

  328.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of filters, i.e., output tensor channels </td></tr>
    329. 

  329.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>kernel width along x </td></tr>
    330. 

  330.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding along x </td></tr>
    331. 

  331.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>stride along x </td></tr>
    332. 

  332.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per channel bias. Range : int32 </td></tr>
    333. 

  333.     <tr><td class="paramdir">[out]</td><td class="paramname">output</td><td>pointer to output tensor. Format: [H, W, out_ch] </td></tr>
    334. 

  334.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    335. 

  335.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    336. 

  336.     <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. Range: int8 </td></tr>
    337. 

  337.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>input tensor offset. Range: -127 to 128 </td></tr>
    338. 

  338.     <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    339. 

  339.     <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    340. 

  340.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    341. 

  341.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>pointer to buffer space used for input optimization and is necessary when ARM_MATH_DSP is defined but not ARM_MATH_MVEI. Required space: 2 * input_ch * sizeof(q15_t) bytes Use <a class="el" href="group__NNConv.html#gab34cb94c592df768774d8bcac03d7e5c" title="Get the required additional buffer size for 1xn convolution. ">arm_convolve_1_x_n_s8_get_buffer_size()</a> to get the size </td></tr>
    342. 

  342.   </table>
    343. 

  343.   </dd>
    344. 

  344. </dl>
    345. 

  345. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> if argument constraints fail. or, <code>ARM_MATH_SUCCESS</code> on successful completion.</dd></dl>
    346. 

  346. <ul>
    347. 

  347. <li>Supported framework : TensorFlow Lite Micro</li>
    348. 

  348. <li>The following constrains on the arguments apply<ol type="1">
    349. 

  349. <li>input_batches equals 1</li>
    350. 

  350. <li>ouput_x is a multiple of 4</li>
    351. 

  351. <li>Explicit constraints(since it is for 1xN convolution) -## input_y equals 1 -## output_y equals 1 -## kernel_y equals 1 <dl class="todo"><dt><b><a class="el" href="todo.html#_todo000001">Todo:</a></b></dt><dd>Remove constraint on output_x to make the function generic.</dd></dl>
    352. 

  352. </li>
    353. 

  353. </ol>
    354. 

  354. </li>
    355. 

  355. </ul>
    356. 

  356. 

  357. <p>References <a class="el" href="group__NNConv.html#ga6a0b2161ece62078228ead2d85bbcf28">arm_convolve_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga5224f2f155a59498c97f4d62ae726ea5">arm_nn_mat_mul_core_1x_s8()</a>, <a class="el" href="group__NNBasicMath.html#gae893fd2b0fadf44bcd2870ca2c2c3634">arm_nn_mat_mul_core_4x_s8()</a>, <a class="el" href="arm__convolve__1__x__n__s8_8c.html#a5fa9a687139f39c5033eb566a9e7b6e1">DIM_Y</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    358. 

  358. 

  359. </div>
    360. 

  360. </div>
    361. 

  361. <a class="anchor" id="gab34cb94c592df768774d8bcac03d7e5c"></a>
    362. 

  362. <div class="memitem">
    363. 

  363. <div class="memproto">
    364. 

  364.       <table class="memname">
    365. 

  365.         <tr>
    366. 

  366.           <td class="memname">int32_t arm_convolve_1_x_n_s8_get_buffer_size </td>
    367. 

  367.           <td>(</td>
    368. 

  368.           <td class="paramtype">const uint16_t&#160;</td>
    369. 

  369.           <td class="paramname"><em>input_ch</em>, </td>
    370. 

  370.         </tr>
    371. 

  371.         <tr>
    372. 

  372.           <td class="paramkey"></td>
    373. 

  373.           <td></td>
    374. 

  374.           <td class="paramtype">const uint16_t&#160;</td>
    375. 

  375.           <td class="paramname"><em>kernel_x</em>, </td>
    376. 

  376.         </tr>
    377. 

  377.         <tr>
    378. 

  378.           <td class="paramkey"></td>
    379. 

  379.           <td></td>
    380. 

  380.           <td class="paramtype">const uint16_t&#160;</td>
    381. 

  381.           <td class="paramname"><em>kernel_y</em>&#160;</td>
    382. 

  382.         </tr>
    383. 

  383.         <tr>
    384. 

  384.           <td></td>
    385. 

  385.           <td>)</td>
    386. 

  386.           <td></td><td></td>
    387. 

  387.         </tr>
    388. 

  388.       </table>
    389. 

  389. </div><div class="memdoc">
    390. 

  390. <dl class="params"><dt>Parameters</dt><dd>
    391. 

  391.   <table class="params">
    392. 

  392.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    393. 

  393.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    394. 

  394.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    395. 

  395.   </table>
    396. 

  396.   </dd>
    397. 

  397. </dl>
    398. 

  398. <dl class="section return"><dt>Returns</dt><dd>The function returns required buffer size(bytes) </dd></dl>
    399. 

  399. 

  400. </div>
    401. 

  401. </div>
    402. 

  402. <a class="anchor" id="ga110adcfdaab356c750c6270aa5e05f29"></a>
    403. 

  403. <div class="memitem">
    404. 

  404. <div class="memproto">
    405. 

  405.       <table class="memname">
    406. 

  406.         <tr>
    407. 

  407.           <td class="memname">arm_status arm_convolve_1x1_HWC_q7_fast_nonsquare </td>
    408. 

  408.           <td>(</td>
    409. 

  409.           <td class="paramtype">const q7_t *&#160;</td>
    410. 

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

  411.         </tr>
    412. 

  412.         <tr>
    413. 

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

  414.           <td></td>
    415. 

  415.           <td class="paramtype">const uint16_t&#160;</td>
    416. 

  416.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    417. 

  417.         </tr>
    418. 

  418.         <tr>
    419. 

  419.           <td class="paramkey"></td>
    420. 

  420.           <td></td>
    421. 

  421.           <td class="paramtype">const uint16_t&#160;</td>
    422. 

  422.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    423. 

  423.         </tr>
    424. 

  424.         <tr>
    425. 

  425.           <td class="paramkey"></td>
    426. 

  426.           <td></td>
    427. 

  427.           <td class="paramtype">const uint16_t&#160;</td>
    428. 

  428.           <td class="paramname"><em>ch_im_in</em>, </td>
    429. 

  429.         </tr>
    430. 

  430.         <tr>
    431. 

  431.           <td class="paramkey"></td>
    432. 

  432.           <td></td>
    433. 

  433.           <td class="paramtype">const q7_t *&#160;</td>
    434. 

  434.           <td class="paramname"><em>wt</em>, </td>
    435. 

  435.         </tr>
    436. 

  436.         <tr>
    437. 

  437.           <td class="paramkey"></td>
    438. 

  438.           <td></td>
    439. 

  439.           <td class="paramtype">const uint16_t&#160;</td>
    440. 

  440.           <td class="paramname"><em>ch_im_out</em>, </td>
    441. 

  441.         </tr>
    442. 

  442.         <tr>
    443. 

  443.           <td class="paramkey"></td>
    444. 

  444.           <td></td>
    445. 

  445.           <td class="paramtype">const uint16_t&#160;</td>
    446. 

  446.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    447. 

  447.         </tr>
    448. 

  448.         <tr>
    449. 

  449.           <td class="paramkey"></td>
    450. 

  450.           <td></td>
    451. 

  451.           <td class="paramtype">const uint16_t&#160;</td>
    452. 

  452.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    453. 

  453.         </tr>
    454. 

  454.         <tr>
    455. 

  455.           <td class="paramkey"></td>
    456. 

  456.           <td></td>
    457. 

  457.           <td class="paramtype">const uint16_t&#160;</td>
    458. 

  458.           <td class="paramname"><em>padding_x</em>, </td>
    459. 

  459.         </tr>
    460. 

  460.         <tr>
    461. 

  461.           <td class="paramkey"></td>
    462. 

  462.           <td></td>
    463. 

  463.           <td class="paramtype">const uint16_t&#160;</td>
    464. 

  464.           <td class="paramname"><em>padding_y</em>, </td>
    465. 

  465.         </tr>
    466. 

  466.         <tr>
    467. 

  467.           <td class="paramkey"></td>
    468. 

  468.           <td></td>
    469. 

  469.           <td class="paramtype">const uint16_t&#160;</td>
    470. 

  470.           <td class="paramname"><em>stride_x</em>, </td>
    471. 

  471.         </tr>
    472. 

  472.         <tr>
    473. 

  473.           <td class="paramkey"></td>
    474. 

  474.           <td></td>
    475. 

  475.           <td class="paramtype">const uint16_t&#160;</td>
    476. 

  476.           <td class="paramname"><em>stride_y</em>, </td>
    477. 

  477.         </tr>
    478. 

  478.         <tr>
    479. 

  479.           <td class="paramkey"></td>
    480. 

  480.           <td></td>
    481. 

  481.           <td class="paramtype">const q7_t *&#160;</td>
    482. 

  482.           <td class="paramname"><em>bias</em>, </td>
    483. 

  483.         </tr>
    484. 

  484.         <tr>
    485. 

  485.           <td class="paramkey"></td>
    486. 

  486.           <td></td>
    487. 

  487.           <td class="paramtype">const uint16_t&#160;</td>
    488. 

  488.           <td class="paramname"><em>bias_shift</em>, </td>
    489. 

  489.         </tr>
    490. 

  490.         <tr>
    491. 

  491.           <td class="paramkey"></td>
    492. 

  492.           <td></td>
    493. 

  493.           <td class="paramtype">const uint16_t&#160;</td>
    494. 

  494.           <td class="paramname"><em>out_shift</em>, </td>
    495. 

  495.         </tr>
    496. 

  496.         <tr>
    497. 

  497.           <td class="paramkey"></td>
    498. 

  498.           <td></td>
    499. 

  499.           <td class="paramtype">q7_t *&#160;</td>
    500. 

  500.           <td class="paramname"><em>Im_out</em>, </td>
    501. 

  501.         </tr>
    502. 

  502.         <tr>
    503. 

  503.           <td class="paramkey"></td>
    504. 

  504.           <td></td>
    505. 

  505.           <td class="paramtype">const uint16_t&#160;</td>
    506. 

  506.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    507. 

  507.         </tr>
    508. 

  508.         <tr>
    509. 

  509.           <td class="paramkey"></td>
    510. 

  510.           <td></td>
    511. 

  511.           <td class="paramtype">const uint16_t&#160;</td>
    512. 

  512.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    513. 

  513.         </tr>
    514. 

  514.         <tr>
    515. 

  515.           <td class="paramkey"></td>
    516. 

  516.           <td></td>
    517. 

  517.           <td class="paramtype">q15_t *&#160;</td>
    518. 

  518.           <td class="paramname"><em>bufferA</em>, </td>
    519. 

  519.         </tr>
    520. 

  520.         <tr>
    521. 

  521.           <td class="paramkey"></td>
    522. 

  522.           <td></td>
    523. 

  523.           <td class="paramtype">q7_t *&#160;</td>
    524. 

  524.           <td class="paramname"><em>bufferB</em>&#160;</td>
    525. 

  525.         </tr>
    526. 

  526.         <tr>
    527. 

  527.           <td></td>
    528. 

  528.           <td>)</td>
    529. 

  529.           <td></td><td></td>
    530. 

  530.         </tr>
    531. 

  531.       </table>
    532. 

  532. </div><div class="memdoc">
    533. 

  533. <dl class="params"><dt>Parameters</dt><dd>
    534. 

  534.   <table class="params">
    535. 

  535.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    536. 

  536.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    537. 

  537.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    538. 

  538.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    539. 

  539.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    540. 

  540.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    541. 

  541.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    542. 

  542.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    543. 

  543.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    544. 

  544.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    545. 

  545.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    546. 

  546.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    547. 

  547.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    548. 

  548.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    549. 

  549.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    550. 

  550.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    551. 

  551.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    552. 

  552.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    553. 

  553.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    554. 

  554.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    555. 

  555.   </table>
    556. 

  556.   </dd>
    557. 

  557. </dl>
    558. 

  558. <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>
    559. 

  559. <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>
    560. 

  560. <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>
    561. 

  561. <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>
    562. 

  562. 

  563. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</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>
    564. 

  564. 

  565. </div>
    566. 

  566. </div>
    567. 

  567. <a class="anchor" id="gadfcad0bae34328dc806dc88cde173faa"></a>
    568. 

  568. <div class="memitem">
    569. 

  569. <div class="memproto">
    570. 

  570.       <table class="memname">
    571. 

  571.         <tr>
    572. 

  572.           <td class="memname">arm_status arm_convolve_1x1_s8_fast </td>
    573. 

  573.           <td>(</td>
    574. 

  574.           <td class="paramtype">const q7_t *&#160;</td>
    575. 

  575.           <td class="paramname"><em>input</em>, </td>
    576. 

  576.         </tr>
    577. 

  577.         <tr>
    578. 

  578.           <td class="paramkey"></td>
    579. 

  579.           <td></td>
    580. 

  580.           <td class="paramtype">const uint16_t&#160;</td>
    581. 

  581.           <td class="paramname"><em>input_x</em>, </td>
    582. 

  582.         </tr>
    583. 

  583.         <tr>
    584. 

  584.           <td class="paramkey"></td>
    585. 

  585.           <td></td>
    586. 

  586.           <td class="paramtype">const uint16_t&#160;</td>
    587. 

  587.           <td class="paramname"><em>input_y</em>, </td>
    588. 

  588.         </tr>
    589. 

  589.         <tr>
    590. 

  590.           <td class="paramkey"></td>
    591. 

  591.           <td></td>
    592. 

  592.           <td class="paramtype">const uint16_t&#160;</td>
    593. 

  593.           <td class="paramname"><em>input_ch</em>, </td>
    594. 

  594.         </tr>
    595. 

  595.         <tr>
    596. 

  596.           <td class="paramkey"></td>
    597. 

  597.           <td></td>
    598. 

  598.           <td class="paramtype">const uint16_t&#160;</td>
    599. 

  599.           <td class="paramname"><em>input_batches</em>, </td>
    600. 

  600.         </tr>
    601. 

  601.         <tr>
    602. 

  602.           <td class="paramkey"></td>
    603. 

  603.           <td></td>
    604. 

  604.           <td class="paramtype">const q7_t *&#160;</td>
    605. 

  605.           <td class="paramname"><em>kernel</em>, </td>
    606. 

  606.         </tr>
    607. 

  607.         <tr>
    608. 

  608.           <td class="paramkey"></td>
    609. 

  609.           <td></td>
    610. 

  610.           <td class="paramtype">const uint16_t&#160;</td>
    611. 

  611.           <td class="paramname"><em>output_ch</em>, </td>
    612. 

  612.         </tr>
    613. 

  613.         <tr>
    614. 

  614.           <td class="paramkey"></td>
    615. 

  615.           <td></td>
    616. 

  616.           <td class="paramtype">const uint16_t&#160;</td>
    617. 

  617.           <td class="paramname"><em>pad_x</em>, </td>
    618. 

  618.         </tr>
    619. 

  619.         <tr>
    620. 

  620.           <td class="paramkey"></td>
    621. 

  621.           <td></td>
    622. 

  622.           <td class="paramtype">const uint16_t&#160;</td>
    623. 

  623.           <td class="paramname"><em>pad_y</em>, </td>
    624. 

  624.         </tr>
    625. 

  625.         <tr>
    626. 

  626.           <td class="paramkey"></td>
    627. 

  627.           <td></td>
    628. 

  628.           <td class="paramtype">const uint16_t&#160;</td>
    629. 

  629.           <td class="paramname"><em>stride_x</em>, </td>
    630. 

  630.         </tr>
    631. 

  631.         <tr>
    632. 

  632.           <td class="paramkey"></td>
    633. 

  633.           <td></td>
    634. 

  634.           <td class="paramtype">const uint16_t&#160;</td>
    635. 

  635.           <td class="paramname"><em>stride_y</em>, </td>
    636. 

  636.         </tr>
    637. 

  637.         <tr>
    638. 

  638.           <td class="paramkey"></td>
    639. 

  639.           <td></td>
    640. 

  640.           <td class="paramtype">const int32_t *&#160;</td>
    641. 

  641.           <td class="paramname"><em>bias</em>, </td>
    642. 

  642.         </tr>
    643. 

  643.         <tr>
    644. 

  644.           <td class="paramkey"></td>
    645. 

  645.           <td></td>
    646. 

  646.           <td class="paramtype">q7_t *&#160;</td>
    647. 

  647.           <td class="paramname"><em>output</em>, </td>
    648. 

  648.         </tr>
    649. 

  649.         <tr>
    650. 

  650.           <td class="paramkey"></td>
    651. 

  651.           <td></td>
    652. 

  652.           <td class="paramtype">const int32_t *&#160;</td>
    653. 

  653.           <td class="paramname"><em>output_shift</em>, </td>
    654. 

  654.         </tr>
    655. 

  655.         <tr>
    656. 

  656.           <td class="paramkey"></td>
    657. 

  657.           <td></td>
    658. 

  658.           <td class="paramtype">const int32_t *&#160;</td>
    659. 

  659.           <td class="paramname"><em>output_mult</em>, </td>
    660. 

  660.         </tr>
    661. 

  661.         <tr>
    662. 

  662.           <td class="paramkey"></td>
    663. 

  663.           <td></td>
    664. 

  664.           <td class="paramtype">const int32_t&#160;</td>
    665. 

  665.           <td class="paramname"><em>out_offset</em>, </td>
    666. 

  666.         </tr>
    667. 

  667.         <tr>
    668. 

  668.           <td class="paramkey"></td>
    669. 

  669.           <td></td>
    670. 

  670.           <td class="paramtype">const int32_t&#160;</td>
    671. 

  671.           <td class="paramname"><em>input_offset</em>, </td>
    672. 

  672.         </tr>
    673. 

  673.         <tr>
    674. 

  674.           <td class="paramkey"></td>
    675. 

  675.           <td></td>
    676. 

  676.           <td class="paramtype">const int32_t&#160;</td>
    677. 

  677.           <td class="paramname"><em>out_activation_min</em>, </td>
    678. 

  678.         </tr>
    679. 

  679.         <tr>
    680. 

  680.           <td class="paramkey"></td>
    681. 

  681.           <td></td>
    682. 

  682.           <td class="paramtype">const int32_t&#160;</td>
    683. 

  683.           <td class="paramname"><em>out_activation_max</em>, </td>
    684. 

  684.         </tr>
    685. 

  685.         <tr>
    686. 

  686.           <td class="paramkey"></td>
    687. 

  687.           <td></td>
    688. 

  688.           <td class="paramtype">const uint16_t&#160;</td>
    689. 

  689.           <td class="paramname"><em>output_x</em>, </td>
    690. 

  690.         </tr>
    691. 

  691.         <tr>
    692. 

  692.           <td class="paramkey"></td>
    693. 

  693.           <td></td>
    694. 

  694.           <td class="paramtype">const uint16_t&#160;</td>
    695. 

  695.           <td class="paramname"><em>output_y</em>, </td>
    696. 

  696.         </tr>
    697. 

  697.         <tr>
    698. 

  698.           <td class="paramkey"></td>
    699. 

  699.           <td></td>
    700. 

  700.           <td class="paramtype">q15_t *&#160;</td>
    701. 

  701.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    702. 

  702.         </tr>
    703. 

  703.         <tr>
    704. 

  704.           <td></td>
    705. 

  705.           <td>)</td>
    706. 

  706.           <td></td><td></td>
    707. 

  707.         </tr>
    708. 

  708.       </table>
    709. 

  709. </div><div class="memdoc">
    710. 

  710. <dl class="params"><dt>Parameters</dt><dd>
    711. 

  711.   <table class="params">
    712. 

  712.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Format: [N, H, W, in_ch] </td></tr>
    713. 

  713.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor dimension x </td></tr>
    714. 

  714.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>input tensor dimension y </td></tr>
    715. 

  715.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    716. 

  716.     <tr><td class="paramdir">[in]</td><td class="paramname">input_batches</td><td>number of input batches </td></tr>
    717. 

  717.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Format: [out_ch, H, W, in_ch] </td></tr>
    718. 

  718.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of filters, i.e., output tensor channels </td></tr>
    719. 

  719.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding size x </td></tr>
    720. 

  720.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>padding size y </td></tr>
    721. 

  721.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    722. 

  722.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    723. 

  723.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per channel bias. Range : int32 </td></tr>
    724. 

  724.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>pointer to output tensor. Format: [H, W, out_ch] </td></tr>
    725. 

  725.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    726. 

  726.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    727. 

  727.     <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. Range: int8 </td></tr>
    728. 

  728.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>input tensor offset. Range: -127 to 128 </td></tr>
    729. 

  729.     <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    730. 

  730.     <tr><td class="paramdir">[in]</td><td class="paramname">out_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    731. 

  731.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    732. 

  732.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>output tensor height </td></tr>
    733. 

  733.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>pointer to buffer space used if required by the implementation Use <a class="el" href="group__NNConv.html#ga09ed5df0234c7eb334a7264dd9e4c833" title="Get the required buffer size for the fast 1x1 convolution (non-square shape) s8 convolution function...">arm_convolve_1x1_s8_fast_get_buffer_size()</a> to get the size </td></tr>
    734. 

  734.   </table>
    735. 

  735.   </dd>
    736. 

  736. </dl>
    737. 

  737. <dl class="section return"><dt>Returns</dt><dd>The function returns either <code>ARM_MATH_SIZE_MISMATCH</code> if argument constraints fail. or, <code>ARM_MATH_SUCCESS</code> on successful completion.</dd></dl>
    738. 

  738. <ul>
    739. 

  739. <li>Supported framework : TensorFlow Lite Micro</li>
    740. 

  740. <li>The following constrains on the arguments apply<ol type="1">
    741. 

  741. <li>input_ch is a multiple of 4</li>
    742. 

  742. <li>padding equals 0</li>
    743. 

  743. <li>Stride equals 1</li>
    744. 

  744. <li>kernel dimension is 1x1 (Not provided in the argument list) </li>
    745. 

  745. </ol>
    746. 

  746. </li>
    747. 

  747. </ul>
    748. 

  748. 

  749. <p>References <a class="el" href="group__NNBasicMath.html#ga5224f2f155a59498c97f4d62ae726ea5">arm_nn_mat_mul_core_1x_s8()</a>, <a class="el" href="group__NNBasicMath.html#gae893fd2b0fadf44bcd2870ca2c2c3634">arm_nn_mat_mul_core_4x_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga360cdaa16c399e3bfbeaaa7296c326e1">arm_nn_mat_mult_nt_t_s8()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    750. 

  750. 

  751. </div>
    752. 

  752. </div>
    753. 

  753. <a class="anchor" id="ga09ed5df0234c7eb334a7264dd9e4c833"></a>
    754. 

  754. <div class="memitem">
    755. 

  755. <div class="memproto">
    756. 

  756.       <table class="memname">
    757. 

  757.         <tr>
    758. 

  758.           <td class="memname">int32_t arm_convolve_1x1_s8_fast_get_buffer_size </td>
    759. 

  759.           <td>(</td>
    760. 

  760.           <td class="paramtype">const uint16_t&#160;</td>
    761. 

  761.           <td class="paramname"><em>input_ch</em></td><td>)</td>
    762. 

  762.           <td></td>
    763. 

  763.         </tr>
    764. 

  764.       </table>
    765. 

  765. </div><div class="memdoc">
    766. 

  766. <dl class="params"><dt>Parameters</dt><dd>
    767. 

  767.   <table class="params">
    768. 

  768.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    769. 

  769.   </table>
    770. 

  770.   </dd>
    771. 

  771. </dl>
    772. 

  772. <dl class="section return"><dt>Returns</dt><dd>The function returns required buffer size </dd></dl>
    773. 

  773. 

  774. </div>
    775. 

  775. </div>
    776. 

  776. <a class="anchor" id="ga55701f213b198084b52eab53097f1f58"></a>
    777. 

  777. <div class="memitem">
    778. 

  778. <div class="memproto">
    779. 

  779.       <table class="memname">
    780. 

  780.         <tr>
    781. 

  781.           <td class="memname">arm_status arm_convolve_HWC_q15_basic </td>
    782. 

  782.           <td>(</td>
    783. 

  783.           <td class="paramtype">const q15_t *&#160;</td>
    784. 

  784.           <td class="paramname"><em>Im_in</em>, </td>
    785. 

  785.         </tr>
    786. 

  786.         <tr>
    787. 

  787.           <td class="paramkey"></td>
    788. 

  788.           <td></td>
    789. 

  789.           <td class="paramtype">const uint16_t&#160;</td>
    790. 

  790.           <td class="paramname"><em>dim_im_in</em>, </td>
    791. 

  791.         </tr>
    792. 

  792.         <tr>
    793. 

  793.           <td class="paramkey"></td>
    794. 

  794.           <td></td>
    795. 

  795.           <td class="paramtype">const uint16_t&#160;</td>
    796. 

  796.           <td class="paramname"><em>ch_im_in</em>, </td>
    797. 

  797.         </tr>
    798. 

  798.         <tr>
    799. 

  799.           <td class="paramkey"></td>
    800. 

  800.           <td></td>
    801. 

  801.           <td class="paramtype">const q15_t *&#160;</td>
    802. 

  802.           <td class="paramname"><em>wt</em>, </td>
    803. 

  803.         </tr>
    804. 

  804.         <tr>
    805. 

  805.           <td class="paramkey"></td>
    806. 

  806.           <td></td>
    807. 

  807.           <td class="paramtype">const uint16_t&#160;</td>
    808. 

  808.           <td class="paramname"><em>ch_im_out</em>, </td>
    809. 

  809.         </tr>
    810. 

  810.         <tr>
    811. 

  811.           <td class="paramkey"></td>
    812. 

  812.           <td></td>
    813. 

  813.           <td class="paramtype">const uint16_t&#160;</td>
    814. 

  814.           <td class="paramname"><em>dim_kernel</em>, </td>
    815. 

  815.         </tr>
    816. 

  816.         <tr>
    817. 

  817.           <td class="paramkey"></td>
    818. 

  818.           <td></td>
    819. 

  819.           <td class="paramtype">const uint16_t&#160;</td>
    820. 

  820.           <td class="paramname"><em>padding</em>, </td>
    821. 

  821.         </tr>
    822. 

  822.         <tr>
    823. 

  823.           <td class="paramkey"></td>
    824. 

  824.           <td></td>
    825. 

  825.           <td class="paramtype">const uint16_t&#160;</td>
    826. 

  826.           <td class="paramname"><em>stride</em>, </td>
    827. 

  827.         </tr>
    828. 

  828.         <tr>
    829. 

  829.           <td class="paramkey"></td>
    830. 

  830.           <td></td>
    831. 

  831.           <td class="paramtype">const q15_t *&#160;</td>
    832. 

  832.           <td class="paramname"><em>bias</em>, </td>
    833. 

  833.         </tr>
    834. 

  834.         <tr>
    835. 

  835.           <td class="paramkey"></td>
    836. 

  836.           <td></td>
    837. 

  837.           <td class="paramtype">const uint16_t&#160;</td>
    838. 

  838.           <td class="paramname"><em>bias_shift</em>, </td>
    839. 

  839.         </tr>
    840. 

  840.         <tr>
    841. 

  841.           <td class="paramkey"></td>
    842. 

  842.           <td></td>
    843. 

  843.           <td class="paramtype">const uint16_t&#160;</td>
    844. 

  844.           <td class="paramname"><em>out_shift</em>, </td>
    845. 

  845.         </tr>
    846. 

  846.         <tr>
    847. 

  847.           <td class="paramkey"></td>
    848. 

  848.           <td></td>
    849. 

  849.           <td class="paramtype">q15_t *&#160;</td>
    850. 

  850.           <td class="paramname"><em>Im_out</em>, </td>
    851. 

  851.         </tr>
    852. 

  852.         <tr>
    853. 

  853.           <td class="paramkey"></td>
    854. 

  854.           <td></td>
    855. 

  855.           <td class="paramtype">const uint16_t&#160;</td>
    856. 

  856.           <td class="paramname"><em>dim_im_out</em>, </td>
    857. 

  857.         </tr>
    858. 

  858.         <tr>
    859. 

  859.           <td class="paramkey"></td>
    860. 

  860.           <td></td>
    861. 

  861.           <td class="paramtype">q15_t *&#160;</td>
    862. 

  862.           <td class="paramname"><em>bufferA</em>, </td>
    863. 

  863.         </tr>
    864. 

  864.         <tr>
    865. 

  865.           <td class="paramkey"></td>
    866. 

  866.           <td></td>
    867. 

  867.           <td class="paramtype">q7_t *&#160;</td>
    868. 

  868.           <td class="paramname"><em>bufferB</em>&#160;</td>
    869. 

  869.         </tr>
    870. 

  870.         <tr>
    871. 

  871.           <td></td>
    872. 

  872.           <td>)</td>
    873. 

  873.           <td></td><td></td>
    874. 

  874.         </tr>
    875. 

  875.       </table>
    876. 

  876. </div><div class="memdoc">
    877. 

  877. <dl class="params"><dt>Parameters</dt><dd>
    878. 

  878.   <table class="params">
    879. 

  879.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    880. 

  880.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    881. 

  881.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    882. 

  882.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    883. 

  883.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    884. 

  884.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    885. 

  885.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    886. 

  886.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    887. 

  887.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    888. 

  888.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    889. 

  889.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    890. 

  890.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    891. 

  891.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    892. 

  892.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    893. 

  893.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    894. 

  894.   </table>
    895. 

  895.   </dd>
    896. 

  896. </dl>
    897. 

  897. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    898. 

  898. <p><b>Buffer size:</b></p>
    899. 

  899. <p>bufferA size: ch_im_in*dim_kernel*dim_kernel</p>
    900. 

  900. <p>bufferB size: 0</p>
    901. 

  901. <p>This basic version is designed to work for any input tensor and weight dimension. </p>
    902. 

  902. 

  903. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    904. 

  904. 

  905. </div>
    906. 

  906. </div>
    907. 

  907. <a class="anchor" id="ga4efb1ccbbaa7dd936961989dcb443f50"></a>
    908. 

  908. <div class="memitem">
    909. 

  909. <div class="memproto">
    910. 

  910.       <table class="memname">
    911. 

  911.         <tr>
    912. 

  912.           <td class="memname">arm_status arm_convolve_HWC_q15_fast </td>
    913. 

  913.           <td>(</td>
    914. 

  914.           <td class="paramtype">const q15_t *&#160;</td>
    915. 

  915.           <td class="paramname"><em>Im_in</em>, </td>
    916. 

  916.         </tr>
    917. 

  917.         <tr>
    918. 

  918.           <td class="paramkey"></td>
    919. 

  919.           <td></td>
    920. 

  920.           <td class="paramtype">const uint16_t&#160;</td>
    921. 

  921.           <td class="paramname"><em>dim_im_in</em>, </td>
    922. 

  922.         </tr>
    923. 

  923.         <tr>
    924. 

  924.           <td class="paramkey"></td>
    925. 

  925.           <td></td>
    926. 

  926.           <td class="paramtype">const uint16_t&#160;</td>
    927. 

  927.           <td class="paramname"><em>ch_im_in</em>, </td>
    928. 

  928.         </tr>
    929. 

  929.         <tr>
    930. 

  930.           <td class="paramkey"></td>
    931. 

  931.           <td></td>
    932. 

  932.           <td class="paramtype">const q15_t *&#160;</td>
    933. 

  933.           <td class="paramname"><em>wt</em>, </td>
    934. 

  934.         </tr>
    935. 

  935.         <tr>
    936. 

  936.           <td class="paramkey"></td>
    937. 

  937.           <td></td>
    938. 

  938.           <td class="paramtype">const uint16_t&#160;</td>
    939. 

  939.           <td class="paramname"><em>ch_im_out</em>, </td>
    940. 

  940.         </tr>
    941. 

  941.         <tr>
    942. 

  942.           <td class="paramkey"></td>
    943. 

  943.           <td></td>
    944. 

  944.           <td class="paramtype">const uint16_t&#160;</td>
    945. 

  945.           <td class="paramname"><em>dim_kernel</em>, </td>
    946. 

  946.         </tr>
    947. 

  947.         <tr>
    948. 

  948.           <td class="paramkey"></td>
    949. 

  949.           <td></td>
    950. 

  950.           <td class="paramtype">const uint16_t&#160;</td>
    951. 

  951.           <td class="paramname"><em>padding</em>, </td>
    952. 

  952.         </tr>
    953. 

  953.         <tr>
    954. 

  954.           <td class="paramkey"></td>
    955. 

  955.           <td></td>
    956. 

  956.           <td class="paramtype">const uint16_t&#160;</td>
    957. 

  957.           <td class="paramname"><em>stride</em>, </td>
    958. 

  958.         </tr>
    959. 

  959.         <tr>
    960. 

  960.           <td class="paramkey"></td>
    961. 

  961.           <td></td>
    962. 

  962.           <td class="paramtype">const q15_t *&#160;</td>
    963. 

  963.           <td class="paramname"><em>bias</em>, </td>
    964. 

  964.         </tr>
    965. 

  965.         <tr>
    966. 

  966.           <td class="paramkey"></td>
    967. 

  967.           <td></td>
    968. 

  968.           <td class="paramtype">const uint16_t&#160;</td>
    969. 

  969.           <td class="paramname"><em>bias_shift</em>, </td>
    970. 

  970.         </tr>
    971. 

  971.         <tr>
    972. 

  972.           <td class="paramkey"></td>
    973. 

  973.           <td></td>
    974. 

  974.           <td class="paramtype">const uint16_t&#160;</td>
    975. 

  975.           <td class="paramname"><em>out_shift</em>, </td>
    976. 

  976.         </tr>
    977. 

  977.         <tr>
    978. 

  978.           <td class="paramkey"></td>
    979. 

  979.           <td></td>
    980. 

  980.           <td class="paramtype">q15_t *&#160;</td>
    981. 

  981.           <td class="paramname"><em>Im_out</em>, </td>
    982. 

  982.         </tr>
    983. 

  983.         <tr>
    984. 

  984.           <td class="paramkey"></td>
    985. 

  985.           <td></td>
    986. 

  986.           <td class="paramtype">const uint16_t&#160;</td>
    987. 

  987.           <td class="paramname"><em>dim_im_out</em>, </td>
    988. 

  988.         </tr>
    989. 

  989.         <tr>
    990. 

  990.           <td class="paramkey"></td>
    991. 

  991.           <td></td>
    992. 

  992.           <td class="paramtype">q15_t *&#160;</td>
    993. 

  993.           <td class="paramname"><em>bufferA</em>, </td>
    994. 

  994.         </tr>
    995. 

  995.         <tr>
    996. 

  996.           <td class="paramkey"></td>
    997. 

  997.           <td></td>
    998. 

  998.           <td class="paramtype">q7_t *&#160;</td>
    999. 

  999.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1000. 

  1000.         </tr>
    1001. 

  1001.         <tr>
    1002. 

  1002.           <td></td>
    1003. 

  1003.           <td>)</td>
    1004. 

  1004.           <td></td><td></td>
    1005. 

  1005.         </tr>
    1006. 

  1006.       </table>
    1007. 

  1007. </div><div class="memdoc">
    1008. 

  1008. <dl class="params"><dt>Parameters</dt><dd>
    1009. 

  1009.   <table class="params">
    1010. 

  1010.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1011. 

  1011.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1012. 

  1012.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1013. 

  1013.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1014. 

  1014.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1015. 

  1015.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1016. 

  1016.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1017. 

  1017.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1018. 

  1018.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1019. 

  1019.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1020. 

  1020.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1021. 

  1021.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1022. 

  1022.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1023. 

  1023.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1024. 

  1024.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1025. 

  1025.   </table>
    1026. 

  1026.   </dd>
    1027. 

  1027. </dl>
    1028. 

  1028. <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>
    1029. 

  1029. <p><b>Buffer size:</b></p>
    1030. 

  1030. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1031. 

  1031. <p>bufferB size: 0</p>
    1032. 

  1032. <p><b>Input dimension constraints:</b></p>
    1033. 

  1033. <p>ch_im_in is multiple of 2</p>
    1034. 

  1034. <p>ch_im_out is multipe of 2 </p>
    1035. 

  1035. 

  1036. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    1037. 

  1037. 

  1038. </div>
    1039. 

  1039. </div>
    1040. 

  1040. <a class="anchor" id="ga614ec3b71eb96e29952ec3f09e7b9c3c"></a>
    1041. 

  1041. <div class="memitem">
    1042. 

  1042. <div class="memproto">
    1043. 

  1043.       <table class="memname">
    1044. 

  1044.         <tr>
    1045. 

  1045.           <td class="memname">arm_status arm_convolve_HWC_q15_fast_nonsquare </td>
    1046. 

  1046.           <td>(</td>
    1047. 

  1047.           <td class="paramtype">const q15_t *&#160;</td>
    1048. 

  1048.           <td class="paramname"><em>Im_in</em>, </td>
    1049. 

  1049.         </tr>
    1050. 

  1050.         <tr>
    1051. 

  1051.           <td class="paramkey"></td>
    1052. 

  1052.           <td></td>
    1053. 

  1053.           <td class="paramtype">const uint16_t&#160;</td>
    1054. 

  1054.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    1055. 

  1055.         </tr>
    1056. 

  1056.         <tr>
    1057. 

  1057.           <td class="paramkey"></td>
    1058. 

  1058.           <td></td>
    1059. 

  1059.           <td class="paramtype">const uint16_t&#160;</td>
    1060. 

  1060.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    1061. 

  1061.         </tr>
    1062. 

  1062.         <tr>
    1063. 

  1063.           <td class="paramkey"></td>
    1064. 

  1064.           <td></td>
    1065. 

  1065.           <td class="paramtype">const uint16_t&#160;</td>
    1066. 

  1066.           <td class="paramname"><em>ch_im_in</em>, </td>
    1067. 

  1067.         </tr>
    1068. 

  1068.         <tr>
    1069. 

  1069.           <td class="paramkey"></td>
    1070. 

  1070.           <td></td>
    1071. 

  1071.           <td class="paramtype">const q15_t *&#160;</td>
    1072. 

  1072.           <td class="paramname"><em>wt</em>, </td>
    1073. 

  1073.         </tr>
    1074. 

  1074.         <tr>
    1075. 

  1075.           <td class="paramkey"></td>
    1076. 

  1076.           <td></td>
    1077. 

  1077.           <td class="paramtype">const uint16_t&#160;</td>
    1078. 

  1078.           <td class="paramname"><em>ch_im_out</em>, </td>
    1079. 

  1079.         </tr>
    1080. 

  1080.         <tr>
    1081. 

  1081.           <td class="paramkey"></td>
    1082. 

  1082.           <td></td>
    1083. 

  1083.           <td class="paramtype">const uint16_t&#160;</td>
    1084. 

  1084.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    1085. 

  1085.         </tr>
    1086. 

  1086.         <tr>
    1087. 

  1087.           <td class="paramkey"></td>
    1088. 

  1088.           <td></td>
    1089. 

  1089.           <td class="paramtype">const uint16_t&#160;</td>
    1090. 

  1090.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    1091. 

  1091.         </tr>
    1092. 

  1092.         <tr>
    1093. 

  1093.           <td class="paramkey"></td>
    1094. 

  1094.           <td></td>
    1095. 

  1095.           <td class="paramtype">const uint16_t&#160;</td>
    1096. 

  1096.           <td class="paramname"><em>padding_x</em>, </td>
    1097. 

  1097.         </tr>
    1098. 

  1098.         <tr>
    1099. 

  1099.           <td class="paramkey"></td>
    1100. 

  1100.           <td></td>
    1101. 

  1101.           <td class="paramtype">const uint16_t&#160;</td>
    1102. 

  1102.           <td class="paramname"><em>padding_y</em>, </td>
    1103. 

  1103.         </tr>
    1104. 

  1104.         <tr>
    1105. 

  1105.           <td class="paramkey"></td>
    1106. 

  1106.           <td></td>
    1107. 

  1107.           <td class="paramtype">const uint16_t&#160;</td>
    1108. 

  1108.           <td class="paramname"><em>stride_x</em>, </td>
    1109. 

  1109.         </tr>
    1110. 

  1110.         <tr>
    1111. 

  1111.           <td class="paramkey"></td>
    1112. 

  1112.           <td></td>
    1113. 

  1113.           <td class="paramtype">const uint16_t&#160;</td>
    1114. 

  1114.           <td class="paramname"><em>stride_y</em>, </td>
    1115. 

  1115.         </tr>
    1116. 

  1116.         <tr>
    1117. 

  1117.           <td class="paramkey"></td>
    1118. 

  1118.           <td></td>
    1119. 

  1119.           <td class="paramtype">const q15_t *&#160;</td>
    1120. 

  1120.           <td class="paramname"><em>bias</em>, </td>
    1121. 

  1121.         </tr>
    1122. 

  1122.         <tr>
    1123. 

  1123.           <td class="paramkey"></td>
    1124. 

  1124.           <td></td>
    1125. 

  1125.           <td class="paramtype">const uint16_t&#160;</td>
    1126. 

  1126.           <td class="paramname"><em>bias_shift</em>, </td>
    1127. 

  1127.         </tr>
    1128. 

  1128.         <tr>
    1129. 

  1129.           <td class="paramkey"></td>
    1130. 

  1130.           <td></td>
    1131. 

  1131.           <td class="paramtype">const uint16_t&#160;</td>
    1132. 

  1132.           <td class="paramname"><em>out_shift</em>, </td>
    1133. 

  1133.         </tr>
    1134. 

  1134.         <tr>
    1135. 

  1135.           <td class="paramkey"></td>
    1136. 

  1136.           <td></td>
    1137. 

  1137.           <td class="paramtype">q15_t *&#160;</td>
    1138. 

  1138.           <td class="paramname"><em>Im_out</em>, </td>
    1139. 

  1139.         </tr>
    1140. 

  1140.         <tr>
    1141. 

  1141.           <td class="paramkey"></td>
    1142. 

  1142.           <td></td>
    1143. 

  1143.           <td class="paramtype">const uint16_t&#160;</td>
    1144. 

  1144.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    1145. 

  1145.         </tr>
    1146. 

  1146.         <tr>
    1147. 

  1147.           <td class="paramkey"></td>
    1148. 

  1148.           <td></td>
    1149. 

  1149.           <td class="paramtype">const uint16_t&#160;</td>
    1150. 

  1150.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    1151. 

  1151.         </tr>
    1152. 

  1152.         <tr>
    1153. 

  1153.           <td class="paramkey"></td>
    1154. 

  1154.           <td></td>
    1155. 

  1155.           <td class="paramtype">q15_t *&#160;</td>
    1156. 

  1156.           <td class="paramname"><em>bufferA</em>, </td>
    1157. 

  1157.         </tr>
    1158. 

  1158.         <tr>
    1159. 

  1159.           <td class="paramkey"></td>
    1160. 

  1160.           <td></td>
    1161. 

  1161.           <td class="paramtype">q7_t *&#160;</td>
    1162. 

  1162.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1163. 

  1163.         </tr>
    1164. 

  1164.         <tr>
    1165. 

  1165.           <td></td>
    1166. 

  1166.           <td>)</td>
    1167. 

  1167.           <td></td><td></td>
    1168. 

  1168.         </tr>
    1169. 

  1169.       </table>
    1170. 

  1170. </div><div class="memdoc">
    1171. 

  1171. <dl class="params"><dt>Parameters</dt><dd>
    1172. 

  1172.   <table class="params">
    1173. 

  1173.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1174. 

  1174.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1175. 

  1175.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1176. 

  1176.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1177. 

  1177.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1178. 

  1178.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1179. 

  1179.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1180. 

  1180.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1181. 

  1181.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    1182. 

  1182.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    1183. 

  1183.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1184. 

  1184.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1185. 

  1185.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1186. 

  1186.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1187. 

  1187.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1188. 

  1188.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1189. 

  1189.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1190. 

  1190.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1191. 

  1191.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1192. 

  1192.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1193. 

  1193.   </table>
    1194. 

  1194.   </dd>
    1195. 

  1195. </dl>
    1196. 

  1196. <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>
    1197. 

  1197. <p><b>Buffer size:</b></p>
    1198. 

  1198. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1199. 

  1199. <p>bufferB size: 0</p>
    1200. 

  1200. <p><b>Input dimension constraints:</b></p>
    1201. 

  1201. <p>ch_im_in is multiple of 2</p>
    1202. 

  1202. <p>ch_im_out is multipe of 2 </p>
    1203. 

  1203. 

  1204. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
    1205. 

  1205. 

  1206. </div>
    1207. 

  1207. </div>
    1208. 

  1208. <a class="anchor" id="ga210ae8d8fc1d12ee15b41f1fa6947681"></a>
    1209. 

  1209. <div class="memitem">
    1210. 

  1210. <div class="memproto">
    1211. 

  1211.       <table class="memname">
    1212. 

  1212.         <tr>
    1213. 

  1213.           <td class="memname">arm_status arm_convolve_HWC_q7_basic </td>
    1214. 

  1214.           <td>(</td>
    1215. 

  1215.           <td class="paramtype">const q7_t *&#160;</td>
    1216. 

  1216.           <td class="paramname"><em>Im_in</em>, </td>
    1217. 

  1217.         </tr>
    1218. 

  1218.         <tr>
    1219. 

  1219.           <td class="paramkey"></td>
    1220. 

  1220.           <td></td>
    1221. 

  1221.           <td class="paramtype">const uint16_t&#160;</td>
    1222. 

  1222.           <td class="paramname"><em>dim_im_in</em>, </td>
    1223. 

  1223.         </tr>
    1224. 

  1224.         <tr>
    1225. 

  1225.           <td class="paramkey"></td>
    1226. 

  1226.           <td></td>
    1227. 

  1227.           <td class="paramtype">const uint16_t&#160;</td>
    1228. 

  1228.           <td class="paramname"><em>ch_im_in</em>, </td>
    1229. 

  1229.         </tr>
    1230. 

  1230.         <tr>
    1231. 

  1231.           <td class="paramkey"></td>
    1232. 

  1232.           <td></td>
    1233. 

  1233.           <td class="paramtype">const q7_t *&#160;</td>
    1234. 

  1234.           <td class="paramname"><em>wt</em>, </td>
    1235. 

  1235.         </tr>
    1236. 

  1236.         <tr>
    1237. 

  1237.           <td class="paramkey"></td>
    1238. 

  1238.           <td></td>
    1239. 

  1239.           <td class="paramtype">const uint16_t&#160;</td>
    1240. 

  1240.           <td class="paramname"><em>ch_im_out</em>, </td>
    1241. 

  1241.         </tr>
    1242. 

  1242.         <tr>
    1243. 

  1243.           <td class="paramkey"></td>
    1244. 

  1244.           <td></td>
    1245. 

  1245.           <td class="paramtype">const uint16_t&#160;</td>
    1246. 

  1246.           <td class="paramname"><em>dim_kernel</em>, </td>
    1247. 

  1247.         </tr>
    1248. 

  1248.         <tr>
    1249. 

  1249.           <td class="paramkey"></td>
    1250. 

  1250.           <td></td>
    1251. 

  1251.           <td class="paramtype">const uint16_t&#160;</td>
    1252. 

  1252.           <td class="paramname"><em>padding</em>, </td>
    1253. 

  1253.         </tr>
    1254. 

  1254.         <tr>
    1255. 

  1255.           <td class="paramkey"></td>
    1256. 

  1256.           <td></td>
    1257. 

  1257.           <td class="paramtype">const uint16_t&#160;</td>
    1258. 

  1258.           <td class="paramname"><em>stride</em>, </td>
    1259. 

  1259.         </tr>
    1260. 

  1260.         <tr>
    1261. 

  1261.           <td class="paramkey"></td>
    1262. 

  1262.           <td></td>
    1263. 

  1263.           <td class="paramtype">const q7_t *&#160;</td>
    1264. 

  1264.           <td class="paramname"><em>bias</em>, </td>
    1265. 

  1265.         </tr>
    1266. 

  1266.         <tr>
    1267. 

  1267.           <td class="paramkey"></td>
    1268. 

  1268.           <td></td>
    1269. 

  1269.           <td class="paramtype">const uint16_t&#160;</td>
    1270. 

  1270.           <td class="paramname"><em>bias_shift</em>, </td>
    1271. 

  1271.         </tr>
    1272. 

  1272.         <tr>
    1273. 

  1273.           <td class="paramkey"></td>
    1274. 

  1274.           <td></td>
    1275. 

  1275.           <td class="paramtype">const uint16_t&#160;</td>
    1276. 

  1276.           <td class="paramname"><em>out_shift</em>, </td>
    1277. 

  1277.         </tr>
    1278. 

  1278.         <tr>
    1279. 

  1279.           <td class="paramkey"></td>
    1280. 

  1280.           <td></td>
    1281. 

  1281.           <td class="paramtype">q7_t *&#160;</td>
    1282. 

  1282.           <td class="paramname"><em>Im_out</em>, </td>
    1283. 

  1283.         </tr>
    1284. 

  1284.         <tr>
    1285. 

  1285.           <td class="paramkey"></td>
    1286. 

  1286.           <td></td>
    1287. 

  1287.           <td class="paramtype">const uint16_t&#160;</td>
    1288. 

  1288.           <td class="paramname"><em>dim_im_out</em>, </td>
    1289. 

  1289.         </tr>
    1290. 

  1290.         <tr>
    1291. 

  1291.           <td class="paramkey"></td>
    1292. 

  1292.           <td></td>
    1293. 

  1293.           <td class="paramtype">q15_t *&#160;</td>
    1294. 

  1294.           <td class="paramname"><em>bufferA</em>, </td>
    1295. 

  1295.         </tr>
    1296. 

  1296.         <tr>
    1297. 

  1297.           <td class="paramkey"></td>
    1298. 

  1298.           <td></td>
    1299. 

  1299.           <td class="paramtype">q7_t *&#160;</td>
    1300. 

  1300.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1301. 

  1301.         </tr>
    1302. 

  1302.         <tr>
    1303. 

  1303.           <td></td>
    1304. 

  1304.           <td>)</td>
    1305. 

  1305.           <td></td><td></td>
    1306. 

  1306.         </tr>
    1307. 

  1307.       </table>
    1308. 

  1308. </div><div class="memdoc">
    1309. 

  1309. <dl class="params"><dt>Parameters</dt><dd>
    1310. 

  1310.   <table class="params">
    1311. 

  1311.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1312. 

  1312.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1313. 

  1313.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1314. 

  1314.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1315. 

  1315.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1316. 

  1316.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1317. 

  1317.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1318. 

  1318.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1319. 

  1319.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1320. 

  1320.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1321. 

  1321.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1322. 

  1322.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1323. 

  1323.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1324. 

  1324.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1325. 

  1325.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1326. 

  1326.   </table>
    1327. 

  1327.   </dd>
    1328. 

  1328. </dl>
    1329. 

  1329. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    1330. 

  1330. <p><b>Buffer size:</b></p>
    1331. 

  1331. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1332. 

  1332. <p>bufferB size: 0</p>
    1333. 

  1333. <p>This basic version is designed to work for any input tensor and weight dimension. </p>
    1334. 

  1334. 

  1335. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</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>
    1336. 

  1336. 

  1337. </div>
    1338. 

  1338. </div>
    1339. 

  1339. <a class="anchor" id="ga4501fa22c0836002aa47ccc313dce252"></a>
    1340. 

  1340. <div class="memitem">
    1341. 

  1341. <div class="memproto">
    1342. 

  1342.       <table class="memname">
    1343. 

  1343.         <tr>
    1344. 

  1344.           <td class="memname">arm_status arm_convolve_HWC_q7_basic_nonsquare </td>
    1345. 

  1345.           <td>(</td>
    1346. 

  1346.           <td class="paramtype">const q7_t *&#160;</td>
    1347. 

  1347.           <td class="paramname"><em>Im_in</em>, </td>
    1348. 

  1348.         </tr>
    1349. 

  1349.         <tr>
    1350. 

  1350.           <td class="paramkey"></td>
    1351. 

  1351.           <td></td>
    1352. 

  1352.           <td class="paramtype">const uint16_t&#160;</td>
    1353. 

  1353.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    1354. 

  1354.         </tr>
    1355. 

  1355.         <tr>
    1356. 

  1356.           <td class="paramkey"></td>
    1357. 

  1357.           <td></td>
    1358. 

  1358.           <td class="paramtype">const uint16_t&#160;</td>
    1359. 

  1359.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    1360. 

  1360.         </tr>
    1361. 

  1361.         <tr>
    1362. 

  1362.           <td class="paramkey"></td>
    1363. 

  1363.           <td></td>
    1364. 

  1364.           <td class="paramtype">const uint16_t&#160;</td>
    1365. 

  1365.           <td class="paramname"><em>ch_im_in</em>, </td>
    1366. 

  1366.         </tr>
    1367. 

  1367.         <tr>
    1368. 

  1368.           <td class="paramkey"></td>
    1369. 

  1369.           <td></td>
    1370. 

  1370.           <td class="paramtype">const q7_t *&#160;</td>
    1371. 

  1371.           <td class="paramname"><em>wt</em>, </td>
    1372. 

  1372.         </tr>
    1373. 

  1373.         <tr>
    1374. 

  1374.           <td class="paramkey"></td>
    1375. 

  1375.           <td></td>
    1376. 

  1376.           <td class="paramtype">const uint16_t&#160;</td>
    1377. 

  1377.           <td class="paramname"><em>ch_im_out</em>, </td>
    1378. 

  1378.         </tr>
    1379. 

  1379.         <tr>
    1380. 

  1380.           <td class="paramkey"></td>
    1381. 

  1381.           <td></td>
    1382. 

  1382.           <td class="paramtype">const uint16_t&#160;</td>
    1383. 

  1383.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    1384. 

  1384.         </tr>
    1385. 

  1385.         <tr>
    1386. 

  1386.           <td class="paramkey"></td>
    1387. 

  1387.           <td></td>
    1388. 

  1388.           <td class="paramtype">const uint16_t&#160;</td>
    1389. 

  1389.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    1390. 

  1390.         </tr>
    1391. 

  1391.         <tr>
    1392. 

  1392.           <td class="paramkey"></td>
    1393. 

  1393.           <td></td>
    1394. 

  1394.           <td class="paramtype">const uint16_t&#160;</td>
    1395. 

  1395.           <td class="paramname"><em>padding_x</em>, </td>
    1396. 

  1396.         </tr>
    1397. 

  1397.         <tr>
    1398. 

  1398.           <td class="paramkey"></td>
    1399. 

  1399.           <td></td>
    1400. 

  1400.           <td class="paramtype">const uint16_t&#160;</td>
    1401. 

  1401.           <td class="paramname"><em>padding_y</em>, </td>
    1402. 

  1402.         </tr>
    1403. 

  1403.         <tr>
    1404. 

  1404.           <td class="paramkey"></td>
    1405. 

  1405.           <td></td>
    1406. 

  1406.           <td class="paramtype">const uint16_t&#160;</td>
    1407. 

  1407.           <td class="paramname"><em>stride_x</em>, </td>
    1408. 

  1408.         </tr>
    1409. 

  1409.         <tr>
    1410. 

  1410.           <td class="paramkey"></td>
    1411. 

  1411.           <td></td>
    1412. 

  1412.           <td class="paramtype">const uint16_t&#160;</td>
    1413. 

  1413.           <td class="paramname"><em>stride_y</em>, </td>
    1414. 

  1414.         </tr>
    1415. 

  1415.         <tr>
    1416. 

  1416.           <td class="paramkey"></td>
    1417. 

  1417.           <td></td>
    1418. 

  1418.           <td class="paramtype">const q7_t *&#160;</td>
    1419. 

  1419.           <td class="paramname"><em>bias</em>, </td>
    1420. 

  1420.         </tr>
    1421. 

  1421.         <tr>
    1422. 

  1422.           <td class="paramkey"></td>
    1423. 

  1423.           <td></td>
    1424. 

  1424.           <td class="paramtype">const uint16_t&#160;</td>
    1425. 

  1425.           <td class="paramname"><em>bias_shift</em>, </td>
    1426. 

  1426.         </tr>
    1427. 

  1427.         <tr>
    1428. 

  1428.           <td class="paramkey"></td>
    1429. 

  1429.           <td></td>
    1430. 

  1430.           <td class="paramtype">const uint16_t&#160;</td>
    1431. 

  1431.           <td class="paramname"><em>out_shift</em>, </td>
    1432. 

  1432.         </tr>
    1433. 

  1433.         <tr>
    1434. 

  1434.           <td class="paramkey"></td>
    1435. 

  1435.           <td></td>
    1436. 

  1436.           <td class="paramtype">q7_t *&#160;</td>
    1437. 

  1437.           <td class="paramname"><em>Im_out</em>, </td>
    1438. 

  1438.         </tr>
    1439. 

  1439.         <tr>
    1440. 

  1440.           <td class="paramkey"></td>
    1441. 

  1441.           <td></td>
    1442. 

  1442.           <td class="paramtype">const uint16_t&#160;</td>
    1443. 

  1443.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    1444. 

  1444.         </tr>
    1445. 

  1445.         <tr>
    1446. 

  1446.           <td class="paramkey"></td>
    1447. 

  1447.           <td></td>
    1448. 

  1448.           <td class="paramtype">const uint16_t&#160;</td>
    1449. 

  1449.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    1450. 

  1450.         </tr>
    1451. 

  1451.         <tr>
    1452. 

  1452.           <td class="paramkey"></td>
    1453. 

  1453.           <td></td>
    1454. 

  1454.           <td class="paramtype">q15_t *&#160;</td>
    1455. 

  1455.           <td class="paramname"><em>bufferA</em>, </td>
    1456. 

  1456.         </tr>
    1457. 

  1457.         <tr>
    1458. 

  1458.           <td class="paramkey"></td>
    1459. 

  1459.           <td></td>
    1460. 

  1460.           <td class="paramtype">q7_t *&#160;</td>
    1461. 

  1461.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1462. 

  1462.         </tr>
    1463. 

  1463.         <tr>
    1464. 

  1464.           <td></td>
    1465. 

  1465.           <td>)</td>
    1466. 

  1466.           <td></td><td></td>
    1467. 

  1467.         </tr>
    1468. 

  1468.       </table>
    1469. 

  1469. </div><div class="memdoc">
    1470. 

  1470. <p>Basic Q7 convolution function (non-square shape)</p>
    1471. 

  1471. <dl class="params"><dt>Parameters</dt><dd>
    1472. 

  1472.   <table class="params">
    1473. 

  1473.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1474. 

  1474.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1475. 

  1475.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1476. 

  1476.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1477. 

  1477.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1478. 

  1478.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1479. 

  1479.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1480. 

  1480.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1481. 

  1481.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    1482. 

  1482.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    1483. 

  1483.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1484. 

  1484.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1485. 

  1485.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1486. 

  1486.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1487. 

  1487.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1488. 

  1488.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1489. 

  1489.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1490. 

  1490.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1491. 

  1491.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1492. 

  1492.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1493. 

  1493.   </table>
    1494. 

  1494.   </dd>
    1495. 

  1495. </dl>
    1496. 

  1496. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code> </dd></dl>
    1497. 

  1497. 

  1498. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</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>
    1499. 

  1499. 

  1500. </div>
    1501. 

  1501. </div>
    1502. 

  1502. <a class="anchor" id="gae00d3c1285907d59657369fc98bcc83f"></a>
    1503. 

  1503. <div class="memitem">
    1504. 

  1504. <div class="memproto">
    1505. 

  1505.       <table class="memname">
    1506. 

  1506.         <tr>
    1507. 

  1507.           <td class="memname">arm_status arm_convolve_HWC_q7_fast </td>
    1508. 

  1508.           <td>(</td>
    1509. 

  1509.           <td class="paramtype">const q7_t *&#160;</td>
    1510. 

  1510.           <td class="paramname"><em>Im_in</em>, </td>
    1511. 

  1511.         </tr>
    1512. 

  1512.         <tr>
    1513. 

  1513.           <td class="paramkey"></td>
    1514. 

  1514.           <td></td>
    1515. 

  1515.           <td class="paramtype">const uint16_t&#160;</td>
    1516. 

  1516.           <td class="paramname"><em>dim_im_in</em>, </td>
    1517. 

  1517.         </tr>
    1518. 

  1518.         <tr>
    1519. 

  1519.           <td class="paramkey"></td>
    1520. 

  1520.           <td></td>
    1521. 

  1521.           <td class="paramtype">const uint16_t&#160;</td>
    1522. 

  1522.           <td class="paramname"><em>ch_im_in</em>, </td>
    1523. 

  1523.         </tr>
    1524. 

  1524.         <tr>
    1525. 

  1525.           <td class="paramkey"></td>
    1526. 

  1526.           <td></td>
    1527. 

  1527.           <td class="paramtype">const q7_t *&#160;</td>
    1528. 

  1528.           <td class="paramname"><em>wt</em>, </td>
    1529. 

  1529.         </tr>
    1530. 

  1530.         <tr>
    1531. 

  1531.           <td class="paramkey"></td>
    1532. 

  1532.           <td></td>
    1533. 

  1533.           <td class="paramtype">const uint16_t&#160;</td>
    1534. 

  1534.           <td class="paramname"><em>ch_im_out</em>, </td>
    1535. 

  1535.         </tr>
    1536. 

  1536.         <tr>
    1537. 

  1537.           <td class="paramkey"></td>
    1538. 

  1538.           <td></td>
    1539. 

  1539.           <td class="paramtype">const uint16_t&#160;</td>
    1540. 

  1540.           <td class="paramname"><em>dim_kernel</em>, </td>
    1541. 

  1541.         </tr>
    1542. 

  1542.         <tr>
    1543. 

  1543.           <td class="paramkey"></td>
    1544. 

  1544.           <td></td>
    1545. 

  1545.           <td class="paramtype">const uint16_t&#160;</td>
    1546. 

  1546.           <td class="paramname"><em>padding</em>, </td>
    1547. 

  1547.         </tr>
    1548. 

  1548.         <tr>
    1549. 

  1549.           <td class="paramkey"></td>
    1550. 

  1550.           <td></td>
    1551. 

  1551.           <td class="paramtype">const uint16_t&#160;</td>
    1552. 

  1552.           <td class="paramname"><em>stride</em>, </td>
    1553. 

  1553.         </tr>
    1554. 

  1554.         <tr>
    1555. 

  1555.           <td class="paramkey"></td>
    1556. 

  1556.           <td></td>
    1557. 

  1557.           <td class="paramtype">const q7_t *&#160;</td>
    1558. 

  1558.           <td class="paramname"><em>bias</em>, </td>
    1559. 

  1559.         </tr>
    1560. 

  1560.         <tr>
    1561. 

  1561.           <td class="paramkey"></td>
    1562. 

  1562.           <td></td>
    1563. 

  1563.           <td class="paramtype">const uint16_t&#160;</td>
    1564. 

  1564.           <td class="paramname"><em>bias_shift</em>, </td>
    1565. 

  1565.         </tr>
    1566. 

  1566.         <tr>
    1567. 

  1567.           <td class="paramkey"></td>
    1568. 

  1568.           <td></td>
    1569. 

  1569.           <td class="paramtype">const uint16_t&#160;</td>
    1570. 

  1570.           <td class="paramname"><em>out_shift</em>, </td>
    1571. 

  1571.         </tr>
    1572. 

  1572.         <tr>
    1573. 

  1573.           <td class="paramkey"></td>
    1574. 

  1574.           <td></td>
    1575. 

  1575.           <td class="paramtype">q7_t *&#160;</td>
    1576. 

  1576.           <td class="paramname"><em>Im_out</em>, </td>
    1577. 

  1577.         </tr>
    1578. 

  1578.         <tr>
    1579. 

  1579.           <td class="paramkey"></td>
    1580. 

  1580.           <td></td>
    1581. 

  1581.           <td class="paramtype">const uint16_t&#160;</td>
    1582. 

  1582.           <td class="paramname"><em>dim_im_out</em>, </td>
    1583. 

  1583.         </tr>
    1584. 

  1584.         <tr>
    1585. 

  1585.           <td class="paramkey"></td>
    1586. 

  1586.           <td></td>
    1587. 

  1587.           <td class="paramtype">q15_t *&#160;</td>
    1588. 

  1588.           <td class="paramname"><em>bufferA</em>, </td>
    1589. 

  1589.         </tr>
    1590. 

  1590.         <tr>
    1591. 

  1591.           <td class="paramkey"></td>
    1592. 

  1592.           <td></td>
    1593. 

  1593.           <td class="paramtype">q7_t *&#160;</td>
    1594. 

  1594.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1595. 

  1595.         </tr>
    1596. 

  1596.         <tr>
    1597. 

  1597.           <td></td>
    1598. 

  1598.           <td>)</td>
    1599. 

  1599.           <td></td><td></td>
    1600. 

  1600.         </tr>
    1601. 

  1601.       </table>
    1602. 

  1602. </div><div class="memdoc">
    1603. 

  1603. <dl class="params"><dt>Parameters</dt><dd>
    1604. 

  1604.   <table class="params">
    1605. 

  1605.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1606. 

  1606.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1607. 

  1607.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1608. 

  1608.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1609. 

  1609.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1610. 

  1610.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1611. 

  1611.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1612. 

  1612.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1613. 

  1613.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1614. 

  1614.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1615. 

  1615.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1616. 

  1616.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1617. 

  1617.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1618. 

  1618.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1619. 

  1619.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1620. 

  1620.   </table>
    1621. 

  1621.   </dd>
    1622. 

  1622. </dl>
    1623. 

  1623. <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>
    1624. 

  1624. <p><b>Buffer size:</b></p>
    1625. 

  1625. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1626. 

  1626. <p>bufferB size: 0</p>
    1627. 

  1627. <p><b>Input dimension constraints:</b></p>
    1628. 

  1628. <p>ch_im_in is multiple of 4 ( because of the SIMD32 read and swap )</p>
    1629. 

  1629. <p>ch_im_out is multipe of 2 ( bacause 2x2 mat_mult kernel )</p>
    1630. 

  1630. <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>
    1631. 

  1631. <p>The computation kernel arm_nn_mat_mult_kernel_q7_q15_reordered does the GEMM computation with the reordered columns.</p>
    1632. 

  1632. <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>
    1633. 

  1633. 

  1634. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</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>
    1635. 

  1635. 

  1636. <p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
    1637. 

  1637. 

  1638. </div>
    1639. 

  1639. </div>
    1640. 

  1640. <a class="anchor" id="gabc6d6b991024e9e5c5cdbd7489de88ef"></a>
    1641. 

  1641. <div class="memitem">
    1642. 

  1642. <div class="memproto">
    1643. 

  1643.       <table class="memname">
    1644. 

  1644.         <tr>
    1645. 

  1645.           <td class="memname">arm_status arm_convolve_HWC_q7_fast_nonsquare </td>
    1646. 

  1646.           <td>(</td>
    1647. 

  1647.           <td class="paramtype">const q7_t *&#160;</td>
    1648. 

  1648.           <td class="paramname"><em>Im_in</em>, </td>
    1649. 

  1649.         </tr>
    1650. 

  1650.         <tr>
    1651. 

  1651.           <td class="paramkey"></td>
    1652. 

  1652.           <td></td>
    1653. 

  1653.           <td class="paramtype">const uint16_t&#160;</td>
    1654. 

  1654.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    1655. 

  1655.         </tr>
    1656. 

  1656.         <tr>
    1657. 

  1657.           <td class="paramkey"></td>
    1658. 

  1658.           <td></td>
    1659. 

  1659.           <td class="paramtype">const uint16_t&#160;</td>
    1660. 

  1660.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    1661. 

  1661.         </tr>
    1662. 

  1662.         <tr>
    1663. 

  1663.           <td class="paramkey"></td>
    1664. 

  1664.           <td></td>
    1665. 

  1665.           <td class="paramtype">const uint16_t&#160;</td>
    1666. 

  1666.           <td class="paramname"><em>ch_im_in</em>, </td>
    1667. 

  1667.         </tr>
    1668. 

  1668.         <tr>
    1669. 

  1669.           <td class="paramkey"></td>
    1670. 

  1670.           <td></td>
    1671. 

  1671.           <td class="paramtype">const q7_t *&#160;</td>
    1672. 

  1672.           <td class="paramname"><em>wt</em>, </td>
    1673. 

  1673.         </tr>
    1674. 

  1674.         <tr>
    1675. 

  1675.           <td class="paramkey"></td>
    1676. 

  1676.           <td></td>
    1677. 

  1677.           <td class="paramtype">const uint16_t&#160;</td>
    1678. 

  1678.           <td class="paramname"><em>ch_im_out</em>, </td>
    1679. 

  1679.         </tr>
    1680. 

  1680.         <tr>
    1681. 

  1681.           <td class="paramkey"></td>
    1682. 

  1682.           <td></td>
    1683. 

  1683.           <td class="paramtype">const uint16_t&#160;</td>
    1684. 

  1684.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    1685. 

  1685.         </tr>
    1686. 

  1686.         <tr>
    1687. 

  1687.           <td class="paramkey"></td>
    1688. 

  1688.           <td></td>
    1689. 

  1689.           <td class="paramtype">const uint16_t&#160;</td>
    1690. 

  1690.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    1691. 

  1691.         </tr>
    1692. 

  1692.         <tr>
    1693. 

  1693.           <td class="paramkey"></td>
    1694. 

  1694.           <td></td>
    1695. 

  1695.           <td class="paramtype">const uint16_t&#160;</td>
    1696. 

  1696.           <td class="paramname"><em>padding_x</em>, </td>
    1697. 

  1697.         </tr>
    1698. 

  1698.         <tr>
    1699. 

  1699.           <td class="paramkey"></td>
    1700. 

  1700.           <td></td>
    1701. 

  1701.           <td class="paramtype">const uint16_t&#160;</td>
    1702. 

  1702.           <td class="paramname"><em>padding_y</em>, </td>
    1703. 

  1703.         </tr>
    1704. 

  1704.         <tr>
    1705. 

  1705.           <td class="paramkey"></td>
    1706. 

  1706.           <td></td>
    1707. 

  1707.           <td class="paramtype">const uint16_t&#160;</td>
    1708. 

  1708.           <td class="paramname"><em>stride_x</em>, </td>
    1709. 

  1709.         </tr>
    1710. 

  1710.         <tr>
    1711. 

  1711.           <td class="paramkey"></td>
    1712. 

  1712.           <td></td>
    1713. 

  1713.           <td class="paramtype">const uint16_t&#160;</td>
    1714. 

  1714.           <td class="paramname"><em>stride_y</em>, </td>
    1715. 

  1715.         </tr>
    1716. 

  1716.         <tr>
    1717. 

  1717.           <td class="paramkey"></td>
    1718. 

  1718.           <td></td>
    1719. 

  1719.           <td class="paramtype">const q7_t *&#160;</td>
    1720. 

  1720.           <td class="paramname"><em>bias</em>, </td>
    1721. 

  1721.         </tr>
    1722. 

  1722.         <tr>
    1723. 

  1723.           <td class="paramkey"></td>
    1724. 

  1724.           <td></td>
    1725. 

  1725.           <td class="paramtype">const uint16_t&#160;</td>
    1726. 

  1726.           <td class="paramname"><em>bias_shift</em>, </td>
    1727. 

  1727.         </tr>
    1728. 

  1728.         <tr>
    1729. 

  1729.           <td class="paramkey"></td>
    1730. 

  1730.           <td></td>
    1731. 

  1731.           <td class="paramtype">const uint16_t&#160;</td>
    1732. 

  1732.           <td class="paramname"><em>out_shift</em>, </td>
    1733. 

  1733.         </tr>
    1734. 

  1734.         <tr>
    1735. 

  1735.           <td class="paramkey"></td>
    1736. 

  1736.           <td></td>
    1737. 

  1737.           <td class="paramtype">q7_t *&#160;</td>
    1738. 

  1738.           <td class="paramname"><em>Im_out</em>, </td>
    1739. 

  1739.         </tr>
    1740. 

  1740.         <tr>
    1741. 

  1741.           <td class="paramkey"></td>
    1742. 

  1742.           <td></td>
    1743. 

  1743.           <td class="paramtype">const uint16_t&#160;</td>
    1744. 

  1744.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    1745. 

  1745.         </tr>
    1746. 

  1746.         <tr>
    1747. 

  1747.           <td class="paramkey"></td>
    1748. 

  1748.           <td></td>
    1749. 

  1749.           <td class="paramtype">const uint16_t&#160;</td>
    1750. 

  1750.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    1751. 

  1751.         </tr>
    1752. 

  1752.         <tr>
    1753. 

  1753.           <td class="paramkey"></td>
    1754. 

  1754.           <td></td>
    1755. 

  1755.           <td class="paramtype">q15_t *&#160;</td>
    1756. 

  1756.           <td class="paramname"><em>bufferA</em>, </td>
    1757. 

  1757.         </tr>
    1758. 

  1758.         <tr>
    1759. 

  1759.           <td class="paramkey"></td>
    1760. 

  1760.           <td></td>
    1761. 

  1761.           <td class="paramtype">q7_t *&#160;</td>
    1762. 

  1762.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1763. 

  1763.         </tr>
    1764. 

  1764.         <tr>
    1765. 

  1765.           <td></td>
    1766. 

  1766.           <td>)</td>
    1767. 

  1767.           <td></td><td></td>
    1768. 

  1768.         </tr>
    1769. 

  1769.       </table>
    1770. 

  1770. </div><div class="memdoc">
    1771. 

  1771. <dl class="params"><dt>Parameters</dt><dd>
    1772. 

  1772.   <table class="params">
    1773. 

  1773.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1774. 

  1774.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    1775. 

  1775.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    1776. 

  1776.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1777. 

  1777.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1778. 

  1778.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1779. 

  1779.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    1780. 

  1780.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    1781. 

  1781.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding size x </td></tr>
    1782. 

  1782.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding size y </td></tr>
    1783. 

  1783.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    1784. 

  1784.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    1785. 

  1785.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1786. 

  1786.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1787. 

  1787.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1788. 

  1788.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1789. 

  1789.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    1790. 

  1790.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    1791. 

  1791.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1792. 

  1792.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1793. 

  1793.   </table>
    1794. 

  1794.   </dd>
    1795. 

  1795. </dl>
    1796. 

  1796. <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>
    1797. 

  1797. <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>
    1798. 

  1798. 

  1799. <p>References <a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</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>
    1800. 

  1800. 

  1801. </div>
    1802. 

  1802. </div>
    1803. 

  1803. <a class="anchor" id="ga98f2ead67d7cbdf558b0cd8a3b8fc148"></a>
    1804. 

  1804. <div class="memitem">
    1805. 

  1805. <div class="memproto">
    1806. 

  1806.       <table class="memname">
    1807. 

  1807.         <tr>
    1808. 

  1808.           <td class="memname">arm_status arm_convolve_HWC_q7_RGB </td>
    1809. 

  1809.           <td>(</td>
    1810. 

  1810.           <td class="paramtype">const q7_t *&#160;</td>
    1811. 

  1811.           <td class="paramname"><em>Im_in</em>, </td>
    1812. 

  1812.         </tr>
    1813. 

  1813.         <tr>
    1814. 

  1814.           <td class="paramkey"></td>
    1815. 

  1815.           <td></td>
    1816. 

  1816.           <td class="paramtype">const uint16_t&#160;</td>
    1817. 

  1817.           <td class="paramname"><em>dim_im_in</em>, </td>
    1818. 

  1818.         </tr>
    1819. 

  1819.         <tr>
    1820. 

  1820.           <td class="paramkey"></td>
    1821. 

  1821.           <td></td>
    1822. 

  1822.           <td class="paramtype">const uint16_t&#160;</td>
    1823. 

  1823.           <td class="paramname"><em>ch_im_in</em>, </td>
    1824. 

  1824.         </tr>
    1825. 

  1825.         <tr>
    1826. 

  1826.           <td class="paramkey"></td>
    1827. 

  1827.           <td></td>
    1828. 

  1828.           <td class="paramtype">const q7_t *&#160;</td>
    1829. 

  1829.           <td class="paramname"><em>wt</em>, </td>
    1830. 

  1830.         </tr>
    1831. 

  1831.         <tr>
    1832. 

  1832.           <td class="paramkey"></td>
    1833. 

  1833.           <td></td>
    1834. 

  1834.           <td class="paramtype">const uint16_t&#160;</td>
    1835. 

  1835.           <td class="paramname"><em>ch_im_out</em>, </td>
    1836. 

  1836.         </tr>
    1837. 

  1837.         <tr>
    1838. 

  1838.           <td class="paramkey"></td>
    1839. 

  1839.           <td></td>
    1840. 

  1840.           <td class="paramtype">const uint16_t&#160;</td>
    1841. 

  1841.           <td class="paramname"><em>dim_kernel</em>, </td>
    1842. 

  1842.         </tr>
    1843. 

  1843.         <tr>
    1844. 

  1844.           <td class="paramkey"></td>
    1845. 

  1845.           <td></td>
    1846. 

  1846.           <td class="paramtype">const uint16_t&#160;</td>
    1847. 

  1847.           <td class="paramname"><em>padding</em>, </td>
    1848. 

  1848.         </tr>
    1849. 

  1849.         <tr>
    1850. 

  1850.           <td class="paramkey"></td>
    1851. 

  1851.           <td></td>
    1852. 

  1852.           <td class="paramtype">const uint16_t&#160;</td>
    1853. 

  1853.           <td class="paramname"><em>stride</em>, </td>
    1854. 

  1854.         </tr>
    1855. 

  1855.         <tr>
    1856. 

  1856.           <td class="paramkey"></td>
    1857. 

  1857.           <td></td>
    1858. 

  1858.           <td class="paramtype">const q7_t *&#160;</td>
    1859. 

  1859.           <td class="paramname"><em>bias</em>, </td>
    1860. 

  1860.         </tr>
    1861. 

  1861.         <tr>
    1862. 

  1862.           <td class="paramkey"></td>
    1863. 

  1863.           <td></td>
    1864. 

  1864.           <td class="paramtype">const uint16_t&#160;</td>
    1865. 

  1865.           <td class="paramname"><em>bias_shift</em>, </td>
    1866. 

  1866.         </tr>
    1867. 

  1867.         <tr>
    1868. 

  1868.           <td class="paramkey"></td>
    1869. 

  1869.           <td></td>
    1870. 

  1870.           <td class="paramtype">const uint16_t&#160;</td>
    1871. 

  1871.           <td class="paramname"><em>out_shift</em>, </td>
    1872. 

  1872.         </tr>
    1873. 

  1873.         <tr>
    1874. 

  1874.           <td class="paramkey"></td>
    1875. 

  1875.           <td></td>
    1876. 

  1876.           <td class="paramtype">q7_t *&#160;</td>
    1877. 

  1877.           <td class="paramname"><em>Im_out</em>, </td>
    1878. 

  1878.         </tr>
    1879. 

  1879.         <tr>
    1880. 

  1880.           <td class="paramkey"></td>
    1881. 

  1881.           <td></td>
    1882. 

  1882.           <td class="paramtype">const uint16_t&#160;</td>
    1883. 

  1883.           <td class="paramname"><em>dim_im_out</em>, </td>
    1884. 

  1884.         </tr>
    1885. 

  1885.         <tr>
    1886. 

  1886.           <td class="paramkey"></td>
    1887. 

  1887.           <td></td>
    1888. 

  1888.           <td class="paramtype">q15_t *&#160;</td>
    1889. 

  1889.           <td class="paramname"><em>bufferA</em>, </td>
    1890. 

  1890.         </tr>
    1891. 

  1891.         <tr>
    1892. 

  1892.           <td class="paramkey"></td>
    1893. 

  1893.           <td></td>
    1894. 

  1894.           <td class="paramtype">q7_t *&#160;</td>
    1895. 

  1895.           <td class="paramname"><em>bufferB</em>&#160;</td>
    1896. 

  1896.         </tr>
    1897. 

  1897.         <tr>
    1898. 

  1898.           <td></td>
    1899. 

  1899.           <td>)</td>
    1900. 

  1900.           <td></td><td></td>
    1901. 

  1901.         </tr>
    1902. 

  1902.       </table>
    1903. 

  1903. </div><div class="memdoc">
    1904. 

  1904. <p>Q7 version of convolution for RGB image.</p>
    1905. 

  1905. <dl class="params"><dt>Parameters</dt><dd>
    1906. 

  1906.   <table class="params">
    1907. 

  1907.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    1908. 

  1908.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    1909. 

  1909.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    1910. 

  1910.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    1911. 

  1911.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    1912. 

  1912.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    1913. 

  1913.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    1914. 

  1914.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    1915. 

  1915.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    1916. 

  1916.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    1917. 

  1917.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    1918. 

  1918.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    1919. 

  1919.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    1920. 

  1920.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    1921. 

  1921.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    1922. 

  1922.   </table>
    1923. 

  1923.   </dd>
    1924. 

  1924. </dl>
    1925. 

  1925. <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>
    1926. 

  1926. <p><b>Buffer size:</b></p>
    1927. 

  1927. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    1928. 

  1928. <p>bufferB size: 0</p>
    1929. 

  1929. <p><b>Input dimension constraints:</b></p>
    1930. 

  1930. <p>ch_im_in equals 3</p>
    1931. 

  1931. <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>
    1932. 

  1932. 

  1933. <p>References <a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4()</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>
    1934. 

  1934. 

  1935. <p>Referenced by <a class="el" href="arm__nnexamples__cifar10_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main()</a>.</p>
    1936. 

  1936. 

  1937. </div>
    1938. 

  1938. </div>
    1939. 

  1939. <a class="anchor" id="ga6a0b2161ece62078228ead2d85bbcf28"></a>
    1940. 

  1940. <div class="memitem">
    1941. 

  1941. <div class="memproto">
    1942. 

  1942.       <table class="memname">
    1943. 

  1943.         <tr>
    1944. 

  1944.           <td class="memname">arm_status arm_convolve_s8 </td>
    1945. 

  1945.           <td>(</td>
    1946. 

  1946.           <td class="paramtype">const q7_t *&#160;</td>
    1947. 

  1947.           <td class="paramname"><em>input</em>, </td>
    1948. 

  1948.         </tr>
    1949. 

  1949.         <tr>
    1950. 

  1950.           <td class="paramkey"></td>
    1951. 

  1951.           <td></td>
    1952. 

  1952.           <td class="paramtype">const uint16_t&#160;</td>
    1953. 

  1953.           <td class="paramname"><em>input_x</em>, </td>
    1954. 

  1954.         </tr>
    1955. 

  1955.         <tr>
    1956. 

  1956.           <td class="paramkey"></td>
    1957. 

  1957.           <td></td>
    1958. 

  1958.           <td class="paramtype">const uint16_t&#160;</td>
    1959. 

  1959.           <td class="paramname"><em>input_y</em>, </td>
    1960. 

  1960.         </tr>
    1961. 

  1961.         <tr>
    1962. 

  1962.           <td class="paramkey"></td>
    1963. 

  1963.           <td></td>
    1964. 

  1964.           <td class="paramtype">const uint16_t&#160;</td>
    1965. 

  1965.           <td class="paramname"><em>input_ch</em>, </td>
    1966. 

  1966.         </tr>
    1967. 

  1967.         <tr>
    1968. 

  1968.           <td class="paramkey"></td>
    1969. 

  1969.           <td></td>
    1970. 

  1970.           <td class="paramtype">const uint16_t&#160;</td>
    1971. 

  1971.           <td class="paramname"><em>input_batches</em>, </td>
    1972. 

  1972.         </tr>
    1973. 

  1973.         <tr>
    1974. 

  1974.           <td class="paramkey"></td>
    1975. 

  1975.           <td></td>
    1976. 

  1976.           <td class="paramtype">const q7_t *&#160;</td>
    1977. 

  1977.           <td class="paramname"><em>kernel</em>, </td>
    1978. 

  1978.         </tr>
    1979. 

  1979.         <tr>
    1980. 

  1980.           <td class="paramkey"></td>
    1981. 

  1981.           <td></td>
    1982. 

  1982.           <td class="paramtype">const uint16_t&#160;</td>
    1983. 

  1983.           <td class="paramname"><em>output_ch</em>, </td>
    1984. 

  1984.         </tr>
    1985. 

  1985.         <tr>
    1986. 

  1986.           <td class="paramkey"></td>
    1987. 

  1987.           <td></td>
    1988. 

  1988.           <td class="paramtype">const uint16_t&#160;</td>
    1989. 

  1989.           <td class="paramname"><em>kernel_x</em>, </td>
    1990. 

  1990.         </tr>
    1991. 

  1991.         <tr>
    1992. 

  1992.           <td class="paramkey"></td>
    1993. 

  1993.           <td></td>
    1994. 

  1994.           <td class="paramtype">const uint16_t&#160;</td>
    1995. 

  1995.           <td class="paramname"><em>kernel_y</em>, </td>
    1996. 

  1996.         </tr>
    1997. 

  1997.         <tr>
    1998. 

  1998.           <td class="paramkey"></td>
    1999. 

  1999.           <td></td>
    2000. 

  2000.           <td class="paramtype">const uint16_t&#160;</td>
    2001. 

  2001.           <td class="paramname"><em>pad_x</em>, </td>
    2002. 

  2002.         </tr>
    2003. 

  2003.         <tr>
    2004. 

  2004.           <td class="paramkey"></td>
    2005. 

  2005.           <td></td>
    2006. 

  2006.           <td class="paramtype">const uint16_t&#160;</td>
    2007. 

  2007.           <td class="paramname"><em>pad_y</em>, </td>
    2008. 

  2008.         </tr>
    2009. 

  2009.         <tr>
    2010. 

  2010.           <td class="paramkey"></td>
    2011. 

  2011.           <td></td>
    2012. 

  2012.           <td class="paramtype">const uint16_t&#160;</td>
    2013. 

  2013.           <td class="paramname"><em>stride_x</em>, </td>
    2014. 

  2014.         </tr>
    2015. 

  2015.         <tr>
    2016. 

  2016.           <td class="paramkey"></td>
    2017. 

  2017.           <td></td>
    2018. 

  2018.           <td class="paramtype">const uint16_t&#160;</td>
    2019. 

  2019.           <td class="paramname"><em>stride_y</em>, </td>
    2020. 

  2020.         </tr>
    2021. 

  2021.         <tr>
    2022. 

  2022.           <td class="paramkey"></td>
    2023. 

  2023.           <td></td>
    2024. 

  2024.           <td class="paramtype">const int32_t *&#160;</td>
    2025. 

  2025.           <td class="paramname"><em>bias</em>, </td>
    2026. 

  2026.         </tr>
    2027. 

  2027.         <tr>
    2028. 

  2028.           <td class="paramkey"></td>
    2029. 

  2029.           <td></td>
    2030. 

  2030.           <td class="paramtype">q7_t *&#160;</td>
    2031. 

  2031.           <td class="paramname"><em>output</em>, </td>
    2032. 

  2032.         </tr>
    2033. 

  2033.         <tr>
    2034. 

  2034.           <td class="paramkey"></td>
    2035. 

  2035.           <td></td>
    2036. 

  2036.           <td class="paramtype">const int32_t *&#160;</td>
    2037. 

  2037.           <td class="paramname"><em>output_shift</em>, </td>
    2038. 

  2038.         </tr>
    2039. 

  2039.         <tr>
    2040. 

  2040.           <td class="paramkey"></td>
    2041. 

  2041.           <td></td>
    2042. 

  2042.           <td class="paramtype">const int32_t *&#160;</td>
    2043. 

  2043.           <td class="paramname"><em>output_mult</em>, </td>
    2044. 

  2044.         </tr>
    2045. 

  2045.         <tr>
    2046. 

  2046.           <td class="paramkey"></td>
    2047. 

  2047.           <td></td>
    2048. 

  2048.           <td class="paramtype">const int32_t&#160;</td>
    2049. 

  2049.           <td class="paramname"><em>out_offset</em>, </td>
    2050. 

  2050.         </tr>
    2051. 

  2051.         <tr>
    2052. 

  2052.           <td class="paramkey"></td>
    2053. 

  2053.           <td></td>
    2054. 

  2054.           <td class="paramtype">const int32_t&#160;</td>
    2055. 

  2055.           <td class="paramname"><em>input_offset</em>, </td>
    2056. 

  2056.         </tr>
    2057. 

  2057.         <tr>
    2058. 

  2058.           <td class="paramkey"></td>
    2059. 

  2059.           <td></td>
    2060. 

  2060.           <td class="paramtype">const int32_t&#160;</td>
    2061. 

  2061.           <td class="paramname"><em>output_activation_min</em>, </td>
    2062. 

  2062.         </tr>
    2063. 

  2063.         <tr>
    2064. 

  2064.           <td class="paramkey"></td>
    2065. 

  2065.           <td></td>
    2066. 

  2066.           <td class="paramtype">const int32_t&#160;</td>
    2067. 

  2067.           <td class="paramname"><em>output_activation_max</em>, </td>
    2068. 

  2068.         </tr>
    2069. 

  2069.         <tr>
    2070. 

  2070.           <td class="paramkey"></td>
    2071. 

  2071.           <td></td>
    2072. 

  2072.           <td class="paramtype">const uint16_t&#160;</td>
    2073. 

  2073.           <td class="paramname"><em>output_x</em>, </td>
    2074. 

  2074.         </tr>
    2075. 

  2075.         <tr>
    2076. 

  2076.           <td class="paramkey"></td>
    2077. 

  2077.           <td></td>
    2078. 

  2078.           <td class="paramtype">const uint16_t&#160;</td>
    2079. 

  2079.           <td class="paramname"><em>output_y</em>, </td>
    2080. 

  2080.         </tr>
    2081. 

  2081.         <tr>
    2082. 

  2082.           <td class="paramkey"></td>
    2083. 

  2083.           <td></td>
    2084. 

  2084.           <td class="paramtype">q15_t *&#160;</td>
    2085. 

  2085.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    2086. 

  2086.         </tr>
    2087. 

  2087.         <tr>
    2088. 

  2088.           <td></td>
    2089. 

  2089.           <td>)</td>
    2090. 

  2090.           <td></td><td></td>
    2091. 

  2091.         </tr>
    2092. 

  2092.       </table>
    2093. 

  2093. </div><div class="memdoc">
    2094. 

  2094. <dl class="params"><dt>Parameters</dt><dd>
    2095. 

  2095.   <table class="params">
    2096. 

  2096.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Range: int8, format: [N,H,W,in_ch] </td></tr>
    2097. 

  2097.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor width </td></tr>
    2098. 

  2098.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>input tensor height </td></tr>
    2099. 

  2099.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2100. 

  2100.     <tr><td class="paramdir">[in]</td><td class="paramname">input_batches</td><td>number of input batches </td></tr>
    2101. 

  2101.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Range: int8, format: [out_ch, H, W, in_ch] </td></tr>
    2102. 

  2102.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>number of filters, i.e., output tensor channels </td></tr>
    2103. 

  2103.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    2104. 

  2104.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    2105. 

  2105.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding along width </td></tr>
    2106. 

  2106.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>padding along height </td></tr>
    2107. 

  2107.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    2108. 

  2108.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    2109. 

  2109.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per output channel bias. Range: int32 </td></tr>
    2110. 

  2110.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>pointer to output tensor. format: [H, W, out_ch] </td></tr>
    2111. 

  2111.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    2112. 

  2112.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    2113. 

  2113.     <tr><td class="paramdir">[in]</td><td class="paramname">out_offset</td><td>output tensor offset. Range: int8 </td></tr>
    2114. 

  2114.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>input tensor offset. Range: int8 </td></tr>
    2115. 

  2115.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2116. 

  2116.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2117. 

  2117.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    2118. 

  2118.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>output tensor height </td></tr>
    2119. 

  2119.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>pointer to buffer space used for input optimization(partial im2col) and is necessary when ARM_MATH_DSP is defined. Required space: (2 * input_ch * kernel_x * kernel_y) * sizeof(q15_t) bytes Use <a class="el" href="group__NNConv.html#gaaf83450fd2d89432d9759df99b05737b" title="Get the required buffer size for s8 convolution function. ">arm_convolve_s8_get_buffer_size()</a> to get the size. </td></tr>
    2120. 

  2120.   </table>
    2121. 

  2121.   </dd>
    2122. 

  2122. </dl>
    2123. 

  2123. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    2124. 

  2124. <ol type="1">
    2125. 

  2125. <li>Supported framework: TensorFlow Lite micro</li>
    2126. 

  2126. <li>q7 is used as data type eventhough it is s8 data. It is done so to be consistent with existing APIs.</li>
    2127. 

  2127. <li>Additional memory is required for optimization. Refer to argument 'buffer_a' for details. </li>
    2128. 

  2128. </ol>
    2129. 

  2129. 

  2130. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a085459f6280c8f586ddd64998dece532">arm_memcpy_q7()</a>, <a class="el" href="group__NNBasicMath.html#gae893fd2b0fadf44bcd2870ca2c2c3634">arm_nn_mat_mul_core_4x_s8()</a>, <a class="el" href="arm__nnfunctions_8h.html#a2da69a593037381cd149616f2fd57cce">arm_nn_mat_mult_kernel_s8_s16()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#aaf7a3da870f2c5e86cdef0d3975e3d69">arm_nn_mat_mult_s8()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#afdda94a339b76615d3161e9fc63f4d21">arm_nn_read_q15x2_ia()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">arm_q7_to_q15_with_offset()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    2131. 

  2131. 

  2132. <p>Referenced by <a class="el" href="group__NNConv.html#ga2d9c129189832572cf0bc97ff9e73e54">arm_convolve_1_x_n_s8()</a>.</p>
    2133. 

  2133. 

  2134. </div>
    2135. 

  2135. </div>
    2136. 

  2136. <a class="anchor" id="gaaf83450fd2d89432d9759df99b05737b"></a>
    2137. 

  2137. <div class="memitem">
    2138. 

  2138. <div class="memproto">
    2139. 

  2139.       <table class="memname">
    2140. 

  2140.         <tr>
    2141. 

  2141.           <td class="memname">int32_t arm_convolve_s8_get_buffer_size </td>
    2142. 

  2142.           <td>(</td>
    2143. 

  2143.           <td class="paramtype">const uint16_t&#160;</td>
    2144. 

  2144.           <td class="paramname"><em>input_ch</em>, </td>
    2145. 

  2145.         </tr>
    2146. 

  2146.         <tr>
    2147. 

  2147.           <td class="paramkey"></td>
    2148. 

  2148.           <td></td>
    2149. 

  2149.           <td class="paramtype">const uint16_t&#160;</td>
    2150. 

  2150.           <td class="paramname"><em>kernel_x</em>, </td>
    2151. 

  2151.         </tr>
    2152. 

  2152.         <tr>
    2153. 

  2153.           <td class="paramkey"></td>
    2154. 

  2154.           <td></td>
    2155. 

  2155.           <td class="paramtype">const uint16_t&#160;</td>
    2156. 

  2156.           <td class="paramname"><em>kernel_y</em>&#160;</td>
    2157. 

  2157.         </tr>
    2158. 

  2158.         <tr>
    2159. 

  2159.           <td></td>
    2160. 

  2160.           <td>)</td>
    2161. 

  2161.           <td></td><td></td>
    2162. 

  2162.         </tr>
    2163. 

  2163.       </table>
    2164. 

  2164. </div><div class="memdoc">
    2165. 

  2165. <dl class="params"><dt>Parameters</dt><dd>
    2166. 

  2166.   <table class="params">
    2167. 

  2167.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2168. 

  2168.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    2169. 

  2169.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    2170. 

  2170.   </table>
    2171. 

  2171.   </dd>
    2172. 

  2172. </dl>
    2173. 

  2173. <dl class="section return"><dt>Returns</dt><dd>The function returns required buffer size </dd></dl>
    2174. 

  2174. 

  2175. </div>
    2176. 

  2176. </div>
    2177. 

  2177. <a class="anchor" id="gae86b03224e6edf28f54247594b6c8bf9"></a>
    2178. 

  2178. <div class="memitem">
    2179. 

  2179. <div class="memproto">
    2180. 

  2180.       <table class="memname">
    2181. 

  2181.         <tr>
    2182. 

  2182.           <td class="memname">arm_status arm_depthwise_conv_3x3_s8 </td>
    2183. 

  2183.           <td>(</td>
    2184. 

  2184.           <td class="paramtype">const int8_t *&#160;</td>
    2185. 

  2185.           <td class="paramname"><em>input</em>, </td>
    2186. 

  2186.         </tr>
    2187. 

  2187.         <tr>
    2188. 

  2188.           <td class="paramkey"></td>
    2189. 

  2189.           <td></td>
    2190. 

  2190.           <td class="paramtype">const int32_t&#160;</td>
    2191. 

  2191.           <td class="paramname"><em>input_x</em>, </td>
    2192. 

  2192.         </tr>
    2193. 

  2193.         <tr>
    2194. 

  2194.           <td class="paramkey"></td>
    2195. 

  2195.           <td></td>
    2196. 

  2196.           <td class="paramtype">const int32_t&#160;</td>
    2197. 

  2197.           <td class="paramname"><em>input_y</em>, </td>
    2198. 

  2198.         </tr>
    2199. 

  2199.         <tr>
    2200. 

  2200.           <td class="paramkey"></td>
    2201. 

  2201.           <td></td>
    2202. 

  2202.           <td class="paramtype">const int32_t&#160;</td>
    2203. 

  2203.           <td class="paramname"><em>input_ch</em>, </td>
    2204. 

  2204.         </tr>
    2205. 

  2205.         <tr>
    2206. 

  2206.           <td class="paramkey"></td>
    2207. 

  2207.           <td></td>
    2208. 

  2208.           <td class="paramtype">const int8_t *&#160;</td>
    2209. 

  2209.           <td class="paramname"><em>kernel</em>, </td>
    2210. 

  2210.         </tr>
    2211. 

  2211.         <tr>
    2212. 

  2212.           <td class="paramkey"></td>
    2213. 

  2213.           <td></td>
    2214. 

  2214.           <td class="paramtype">const int32_t&#160;</td>
    2215. 

  2215.           <td class="paramname"><em>output_ch</em>, </td>
    2216. 

  2216.         </tr>
    2217. 

  2217.         <tr>
    2218. 

  2218.           <td class="paramkey"></td>
    2219. 

  2219.           <td></td>
    2220. 

  2220.           <td class="paramtype">const int32_t&#160;</td>
    2221. 

  2221.           <td class="paramname"><em>pad_x</em>, </td>
    2222. 

  2222.         </tr>
    2223. 

  2223.         <tr>
    2224. 

  2224.           <td class="paramkey"></td>
    2225. 

  2225.           <td></td>
    2226. 

  2226.           <td class="paramtype">const int32_t&#160;</td>
    2227. 

  2227.           <td class="paramname"><em>pad_y</em>, </td>
    2228. 

  2228.         </tr>
    2229. 

  2229.         <tr>
    2230. 

  2230.           <td class="paramkey"></td>
    2231. 

  2231.           <td></td>
    2232. 

  2232.           <td class="paramtype">const int32_t&#160;</td>
    2233. 

  2233.           <td class="paramname"><em>stride_x</em>, </td>
    2234. 

  2234.         </tr>
    2235. 

  2235.         <tr>
    2236. 

  2236.           <td class="paramkey"></td>
    2237. 

  2237.           <td></td>
    2238. 

  2238.           <td class="paramtype">const int32_t&#160;</td>
    2239. 

  2239.           <td class="paramname"><em>stride_y</em>, </td>
    2240. 

  2240.         </tr>
    2241. 

  2241.         <tr>
    2242. 

  2242.           <td class="paramkey"></td>
    2243. 

  2243.           <td></td>
    2244. 

  2244.           <td class="paramtype">const int32_t *&#160;</td>
    2245. 

  2245.           <td class="paramname"><em>bias</em>, </td>
    2246. 

  2246.         </tr>
    2247. 

  2247.         <tr>
    2248. 

  2248.           <td class="paramkey"></td>
    2249. 

  2249.           <td></td>
    2250. 

  2250.           <td class="paramtype">int8_t *&#160;</td>
    2251. 

  2251.           <td class="paramname"><em>output</em>, </td>
    2252. 

  2252.         </tr>
    2253. 

  2253.         <tr>
    2254. 

  2254.           <td class="paramkey"></td>
    2255. 

  2255.           <td></td>
    2256. 

  2256.           <td class="paramtype">const int32_t *&#160;</td>
    2257. 

  2257.           <td class="paramname"><em>output_shift</em>, </td>
    2258. 

  2258.         </tr>
    2259. 

  2259.         <tr>
    2260. 

  2260.           <td class="paramkey"></td>
    2261. 

  2261.           <td></td>
    2262. 

  2262.           <td class="paramtype">const int32_t *&#160;</td>
    2263. 

  2263.           <td class="paramname"><em>output_mult</em>, </td>
    2264. 

  2264.         </tr>
    2265. 

  2265.         <tr>
    2266. 

  2266.           <td class="paramkey"></td>
    2267. 

  2267.           <td></td>
    2268. 

  2268.           <td class="paramtype">const int32_t&#160;</td>
    2269. 

  2269.           <td class="paramname"><em>output_x</em>, </td>
    2270. 

  2270.         </tr>
    2271. 

  2271.         <tr>
    2272. 

  2272.           <td class="paramkey"></td>
    2273. 

  2273.           <td></td>
    2274. 

  2274.           <td class="paramtype">const int32_t&#160;</td>
    2275. 

  2275.           <td class="paramname"><em>output_y</em>, </td>
    2276. 

  2276.         </tr>
    2277. 

  2277.         <tr>
    2278. 

  2278.           <td class="paramkey"></td>
    2279. 

  2279.           <td></td>
    2280. 

  2280.           <td class="paramtype">const int32_t&#160;</td>
    2281. 

  2281.           <td class="paramname"><em>output_offset</em>, </td>
    2282. 

  2282.         </tr>
    2283. 

  2283.         <tr>
    2284. 

  2284.           <td class="paramkey"></td>
    2285. 

  2285.           <td></td>
    2286. 

  2286.           <td class="paramtype">const int32_t&#160;</td>
    2287. 

  2287.           <td class="paramname"><em>input_offset</em>, </td>
    2288. 

  2288.         </tr>
    2289. 

  2289.         <tr>
    2290. 

  2290.           <td class="paramkey"></td>
    2291. 

  2291.           <td></td>
    2292. 

  2292.           <td class="paramtype">const int32_t&#160;</td>
    2293. 

  2293.           <td class="paramname"><em>output_activation_min</em>, </td>
    2294. 

  2294.         </tr>
    2295. 

  2295.         <tr>
    2296. 

  2296.           <td class="paramkey"></td>
    2297. 

  2297.           <td></td>
    2298. 

  2298.           <td class="paramtype">const int32_t&#160;</td>
    2299. 

  2299.           <td class="paramname"><em>output_activation_max</em>, </td>
    2300. 

  2300.         </tr>
    2301. 

  2301.         <tr>
    2302. 

  2302.           <td class="paramkey"></td>
    2303. 

  2303.           <td></td>
    2304. 

  2304.           <td class="paramtype">const int32_t&#160;</td>
    2305. 

  2305.           <td class="paramname"><em>dilation_x</em>, </td>
    2306. 

  2306.         </tr>
    2307. 

  2307.         <tr>
    2308. 

  2308.           <td class="paramkey"></td>
    2309. 

  2309.           <td></td>
    2310. 

  2310.           <td class="paramtype">const int32_t&#160;</td>
    2311. 

  2311.           <td class="paramname"><em>dilation_y</em>, </td>
    2312. 

  2312.         </tr>
    2313. 

  2313.         <tr>
    2314. 

  2314.           <td class="paramkey"></td>
    2315. 

  2315.           <td></td>
    2316. 

  2316.           <td class="paramtype">int16_t *&#160;</td>
    2317. 

  2317.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    2318. 

  2318.         </tr>
    2319. 

  2319.         <tr>
    2320. 

  2320.           <td></td>
    2321. 

  2321.           <td>)</td>
    2322. 

  2322.           <td></td><td></td>
    2323. 

  2323.         </tr>
    2324. 

  2324.       </table>
    2325. 

  2325. </div><div class="memdoc">
    2326. 

  2326. <dl class="params"><dt>Parameters</dt><dd>
    2327. 

  2327.   <table class="params">
    2328. 

  2328.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Range: int8, format: [H,W,in_ch] </td></tr>
    2329. 

  2329.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor width </td></tr>
    2330. 

  2330.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>input tensor height </td></tr>
    2331. 

  2331.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2332. 

  2332.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Range: int8, Format: [in_ch, H, W, out_ch] </td></tr>
    2333. 

  2333.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>Number of output channels. </td></tr>
    2334. 

  2334.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding along width </td></tr>
    2335. 

  2335.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>padding along height </td></tr>
    2336. 

  2336.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride along width </td></tr>
    2337. 

  2337.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride along height </td></tr>
    2338. 

  2338.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per output channel bias. Range: int8 </td></tr>
    2339. 

  2339.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>pointer to output tensor. Format: [H, W, out_ch] </td></tr>
    2340. 

  2340.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    2341. 

  2341.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    2342. 

  2342.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    2343. 

  2343.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>output tensor height </td></tr>
    2344. 

  2344.     <tr><td class="paramdir">[in]</td><td class="paramname">output_offset</td><td>offset to elements of output tensor </td></tr>
    2345. 

  2345.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>offset to elements of input tensor </td></tr>
    2346. 

  2346.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2347. 

  2347.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2348. 

  2348.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>dilation along x. Not used. Dilation factor of 1 is used. </td></tr>
    2349. 

  2349.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_y</td><td>dilation along y. Not used. Dilation factor of 1 is used. </td></tr>
    2350. 

  2350.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>Buffer for partial im2col optimization. Not used.</td></tr>
    2351. 

  2351.   </table>
    2352. 

  2352.   </dd>
    2353. 

  2353. </dl>
    2354. 

  2354. <dl class="section return"><dt>Returns</dt><dd>The function returns one of the following <code>ARM_MATH_SIZE_MISMATCH</code> - Unsupported dimension of tensors <code>ARM_MATH_ARGUMENT_ERROR</code> - Unsupported pad size along the x axis <code>ARM_MATH_SUCCESS</code> - Successful operation</dd></dl>
    2355. 

  2355. <p>Supported framework: TensorFlow Lite </p>
    2356. 

  2356. 

  2357. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    2358. 

  2358. 

  2359. </div>
    2360. 

  2360. </div>
    2361. 

  2361. <a class="anchor" id="gae7e0c94c970bfd59d9c5e2331ce84fe7"></a>
    2362. 

  2362. <div class="memitem">
    2363. 

  2363. <div class="memproto">
    2364. 

  2364.       <table class="memname">
    2365. 

  2365.         <tr>
    2366. 

  2366.           <td class="memname">arm_status arm_depthwise_conv_s8 </td>
    2367. 

  2367.           <td>(</td>
    2368. 

  2368.           <td class="paramtype">const q7_t *&#160;</td>
    2369. 

  2369.           <td class="paramname"><em>input</em>, </td>
    2370. 

  2370.         </tr>
    2371. 

  2371.         <tr>
    2372. 

  2372.           <td class="paramkey"></td>
    2373. 

  2373.           <td></td>
    2374. 

  2374.           <td class="paramtype">const uint16_t&#160;</td>
    2375. 

  2375.           <td class="paramname"><em>input_x</em>, </td>
    2376. 

  2376.         </tr>
    2377. 

  2377.         <tr>
    2378. 

  2378.           <td class="paramkey"></td>
    2379. 

  2379.           <td></td>
    2380. 

  2380.           <td class="paramtype">const uint16_t&#160;</td>
    2381. 

  2381.           <td class="paramname"><em>input_y</em>, </td>
    2382. 

  2382.         </tr>
    2383. 

  2383.         <tr>
    2384. 

  2384.           <td class="paramkey"></td>
    2385. 

  2385.           <td></td>
    2386. 

  2386.           <td class="paramtype">const uint16_t&#160;</td>
    2387. 

  2387.           <td class="paramname"><em>input_ch</em>, </td>
    2388. 

  2388.         </tr>
    2389. 

  2389.         <tr>
    2390. 

  2390.           <td class="paramkey"></td>
    2391. 

  2391.           <td></td>
    2392. 

  2392.           <td class="paramtype">const q7_t *&#160;</td>
    2393. 

  2393.           <td class="paramname"><em>kernel</em>, </td>
    2394. 

  2394.         </tr>
    2395. 

  2395.         <tr>
    2396. 

  2396.           <td class="paramkey"></td>
    2397. 

  2397.           <td></td>
    2398. 

  2398.           <td class="paramtype">const uint16_t&#160;</td>
    2399. 

  2399.           <td class="paramname"><em>output_ch</em>, </td>
    2400. 

  2400.         </tr>
    2401. 

  2401.         <tr>
    2402. 

  2402.           <td class="paramkey"></td>
    2403. 

  2403.           <td></td>
    2404. 

  2404.           <td class="paramtype">const uint16_t&#160;</td>
    2405. 

  2405.           <td class="paramname"><em>ch_mult</em>, </td>
    2406. 

  2406.         </tr>
    2407. 

  2407.         <tr>
    2408. 

  2408.           <td class="paramkey"></td>
    2409. 

  2409.           <td></td>
    2410. 

  2410.           <td class="paramtype">const uint16_t&#160;</td>
    2411. 

  2411.           <td class="paramname"><em>kernel_x</em>, </td>
    2412. 

  2412.         </tr>
    2413. 

  2413.         <tr>
    2414. 

  2414.           <td class="paramkey"></td>
    2415. 

  2415.           <td></td>
    2416. 

  2416.           <td class="paramtype">const uint16_t&#160;</td>
    2417. 

  2417.           <td class="paramname"><em>kernel_y</em>, </td>
    2418. 

  2418.         </tr>
    2419. 

  2419.         <tr>
    2420. 

  2420.           <td class="paramkey"></td>
    2421. 

  2421.           <td></td>
    2422. 

  2422.           <td class="paramtype">const uint16_t&#160;</td>
    2423. 

  2423.           <td class="paramname"><em>pad_x</em>, </td>
    2424. 

  2424.         </tr>
    2425. 

  2425.         <tr>
    2426. 

  2426.           <td class="paramkey"></td>
    2427. 

  2427.           <td></td>
    2428. 

  2428.           <td class="paramtype">const uint16_t&#160;</td>
    2429. 

  2429.           <td class="paramname"><em>pad_y</em>, </td>
    2430. 

  2430.         </tr>
    2431. 

  2431.         <tr>
    2432. 

  2432.           <td class="paramkey"></td>
    2433. 

  2433.           <td></td>
    2434. 

  2434.           <td class="paramtype">const uint16_t&#160;</td>
    2435. 

  2435.           <td class="paramname"><em>stride_x</em>, </td>
    2436. 

  2436.         </tr>
    2437. 

  2437.         <tr>
    2438. 

  2438.           <td class="paramkey"></td>
    2439. 

  2439.           <td></td>
    2440. 

  2440.           <td class="paramtype">const uint16_t&#160;</td>
    2441. 

  2441.           <td class="paramname"><em>stride_y</em>, </td>
    2442. 

  2442.         </tr>
    2443. 

  2443.         <tr>
    2444. 

  2444.           <td class="paramkey"></td>
    2445. 

  2445.           <td></td>
    2446. 

  2446.           <td class="paramtype">const int32_t *&#160;</td>
    2447. 

  2447.           <td class="paramname"><em>bias</em>, </td>
    2448. 

  2448.         </tr>
    2449. 

  2449.         <tr>
    2450. 

  2450.           <td class="paramkey"></td>
    2451. 

  2451.           <td></td>
    2452. 

  2452.           <td class="paramtype">q7_t *&#160;</td>
    2453. 

  2453.           <td class="paramname"><em>output</em>, </td>
    2454. 

  2454.         </tr>
    2455. 

  2455.         <tr>
    2456. 

  2456.           <td class="paramkey"></td>
    2457. 

  2457.           <td></td>
    2458. 

  2458.           <td class="paramtype">const int32_t *&#160;</td>
    2459. 

  2459.           <td class="paramname"><em>output_shift</em>, </td>
    2460. 

  2460.         </tr>
    2461. 

  2461.         <tr>
    2462. 

  2462.           <td class="paramkey"></td>
    2463. 

  2463.           <td></td>
    2464. 

  2464.           <td class="paramtype">const int32_t *&#160;</td>
    2465. 

  2465.           <td class="paramname"><em>output_mult</em>, </td>
    2466. 

  2466.         </tr>
    2467. 

  2467.         <tr>
    2468. 

  2468.           <td class="paramkey"></td>
    2469. 

  2469.           <td></td>
    2470. 

  2470.           <td class="paramtype">const uint16_t&#160;</td>
    2471. 

  2471.           <td class="paramname"><em>output_x</em>, </td>
    2472. 

  2472.         </tr>
    2473. 

  2473.         <tr>
    2474. 

  2474.           <td class="paramkey"></td>
    2475. 

  2475.           <td></td>
    2476. 

  2476.           <td class="paramtype">const uint16_t&#160;</td>
    2477. 

  2477.           <td class="paramname"><em>output_y</em>, </td>
    2478. 

  2478.         </tr>
    2479. 

  2479.         <tr>
    2480. 

  2480.           <td class="paramkey"></td>
    2481. 

  2481.           <td></td>
    2482. 

  2482.           <td class="paramtype">const int32_t&#160;</td>
    2483. 

  2483.           <td class="paramname"><em>output_offset</em>, </td>
    2484. 

  2484.         </tr>
    2485. 

  2485.         <tr>
    2486. 

  2486.           <td class="paramkey"></td>
    2487. 

  2487.           <td></td>
    2488. 

  2488.           <td class="paramtype">const int32_t&#160;</td>
    2489. 

  2489.           <td class="paramname"><em>input_offset</em>, </td>
    2490. 

  2490.         </tr>
    2491. 

  2491.         <tr>
    2492. 

  2492.           <td class="paramkey"></td>
    2493. 

  2493.           <td></td>
    2494. 

  2494.           <td class="paramtype">const int32_t&#160;</td>
    2495. 

  2495.           <td class="paramname"><em>output_activation_min</em>, </td>
    2496. 

  2496.         </tr>
    2497. 

  2497.         <tr>
    2498. 

  2498.           <td class="paramkey"></td>
    2499. 

  2499.           <td></td>
    2500. 

  2500.           <td class="paramtype">const int32_t&#160;</td>
    2501. 

  2501.           <td class="paramname"><em>output_activation_max</em>, </td>
    2502. 

  2502.         </tr>
    2503. 

  2503.         <tr>
    2504. 

  2504.           <td class="paramkey"></td>
    2505. 

  2505.           <td></td>
    2506. 

  2506.           <td class="paramtype">const uint16_t&#160;</td>
    2507. 

  2507.           <td class="paramname"><em>dilation_x</em>, </td>
    2508. 

  2508.         </tr>
    2509. 

  2509.         <tr>
    2510. 

  2510.           <td class="paramkey"></td>
    2511. 

  2511.           <td></td>
    2512. 

  2512.           <td class="paramtype">const uint16_t&#160;</td>
    2513. 

  2513.           <td class="paramname"><em>dilation_y</em>, </td>
    2514. 

  2514.         </tr>
    2515. 

  2515.         <tr>
    2516. 

  2516.           <td class="paramkey"></td>
    2517. 

  2517.           <td></td>
    2518. 

  2518.           <td class="paramtype">q15_t *&#160;</td>
    2519. 

  2519.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    2520. 

  2520.         </tr>
    2521. 

  2521.         <tr>
    2522. 

  2522.           <td></td>
    2523. 

  2523.           <td>)</td>
    2524. 

  2524.           <td></td><td></td>
    2525. 

  2525.         </tr>
    2526. 

  2526.       </table>
    2527. 

  2527. </div><div class="memdoc">
    2528. 

  2528. <dl class="params"><dt>Parameters</dt><dd>
    2529. 

  2529.   <table class="params">
    2530. 

  2530.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Range: int8, format: [H,W,in_ch] </td></tr>
    2531. 

  2531.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor width </td></tr>
    2532. 

  2532.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>input tensor height </td></tr>
    2533. 

  2533.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2534. 

  2534.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Range: int8, format: [in_ch, H, W, out_ch] </td></tr>
    2535. 

  2535.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>Number of output channels. output_ch = ch_mult * input_ch </td></tr>
    2536. 

  2536.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_mult</td><td>channel multiplier. </td></tr>
    2537. 

  2537.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    2538. 

  2538.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    2539. 

  2539.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding along width </td></tr>
    2540. 

  2540.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>padding along height </td></tr>
    2541. 

  2541.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride along width </td></tr>
    2542. 

  2542.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride along height </td></tr>
    2543. 

  2543.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per output channel bias. Range: int32 </td></tr>
    2544. 

  2544.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>pointer to output tensor. Format: [H, W, out_ch] </td></tr>
    2545. 

  2545.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    2546. 

  2546.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    2547. 

  2547.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    2548. 

  2548.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>output tensor height </td></tr>
    2549. 

  2549.     <tr><td class="paramdir">[in]</td><td class="paramname">output_offset</td><td>offset to elements of output tensor. Range: int8 </td></tr>
    2550. 

  2550.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>offset to elements of input tensor. Range: -127 to 128 </td></tr>
    2551. 

  2551.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2552. 

  2552.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2553. 

  2553.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>dilation along x. Not used. Dilation factor of 1 is used. </td></tr>
    2554. 

  2554.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_y</td><td>dilation along y. Not used. Dilation factor of 1 is used. </td></tr>
    2555. 

  2555.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>Not used.</td></tr>
    2556. 

  2556.   </table>
    2557. 

  2557.   </dd>
    2558. 

  2558. </dl>
    2559. 

  2559. <dl class="section return"><dt>Returns</dt><dd>The function returns <code>ARM_MATH_SUCCESS</code></dd></dl>
    2560. 

  2560. <ol type="1">
    2561. 

  2561. <li>Supported framework: TensorFlow Lite</li>
    2562. 

  2562. <li>q7 is used as data type eventhough it is s8 data. It is done so to be consistent with existing APIs.</li>
    2563. 

  2563. <li>Optimization using DSP extension is not available for the generic case where channel multiplier is &gt; 1. </li>
    2564. 

  2564. </ol>
    2565. 

  2565. 

  2566. <p>References <a class="el" href="group__NNConv.html#ga00ec3089e06c8953b4e12582583261c9">depthwise_conv_s8_generic()</a>, and <a class="el" href="group__NNConv.html#ga06d7783f6788faad5165fd0ae583bc59">depthwise_conv_s8_mult_4()</a>.</p>
    2567. 

  2567. 

  2568. <p>Referenced by <a class="el" href="group__NNConv.html#ga3acc8b0cd5bd5d975fdf5a615261f0b1">arm_depthwise_conv_s8_opt()</a>.</p>
    2569. 

  2569. 

  2570. </div>
    2571. 

  2571. </div>
    2572. 

  2572. <a class="anchor" id="ga3acc8b0cd5bd5d975fdf5a615261f0b1"></a>
    2573. 

  2573. <div class="memitem">
    2574. 

  2574. <div class="memproto">
    2575. 

  2575.       <table class="memname">
    2576. 

  2576.         <tr>
    2577. 

  2577.           <td class="memname">arm_status arm_depthwise_conv_s8_opt </td>
    2578. 

  2578.           <td>(</td>
    2579. 

  2579.           <td class="paramtype">const q7_t *&#160;</td>
    2580. 

  2580.           <td class="paramname"><em>input</em>, </td>
    2581. 

  2581.         </tr>
    2582. 

  2582.         <tr>
    2583. 

  2583.           <td class="paramkey"></td>
    2584. 

  2584.           <td></td>
    2585. 

  2585.           <td class="paramtype">const uint16_t&#160;</td>
    2586. 

  2586.           <td class="paramname"><em>input_x</em>, </td>
    2587. 

  2587.         </tr>
    2588. 

  2588.         <tr>
    2589. 

  2589.           <td class="paramkey"></td>
    2590. 

  2590.           <td></td>
    2591. 

  2591.           <td class="paramtype">const uint16_t&#160;</td>
    2592. 

  2592.           <td class="paramname"><em>input_y</em>, </td>
    2593. 

  2593.         </tr>
    2594. 

  2594.         <tr>
    2595. 

  2595.           <td class="paramkey"></td>
    2596. 

  2596.           <td></td>
    2597. 

  2597.           <td class="paramtype">const uint16_t&#160;</td>
    2598. 

  2598.           <td class="paramname"><em>input_ch</em>, </td>
    2599. 

  2599.         </tr>
    2600. 

  2600.         <tr>
    2601. 

  2601.           <td class="paramkey"></td>
    2602. 

  2602.           <td></td>
    2603. 

  2603.           <td class="paramtype">const q7_t *&#160;</td>
    2604. 

  2604.           <td class="paramname"><em>kernel</em>, </td>
    2605. 

  2605.         </tr>
    2606. 

  2606.         <tr>
    2607. 

  2607.           <td class="paramkey"></td>
    2608. 

  2608.           <td></td>
    2609. 

  2609.           <td class="paramtype">const uint16_t&#160;</td>
    2610. 

  2610.           <td class="paramname"><em>output_ch</em>, </td>
    2611. 

  2611.         </tr>
    2612. 

  2612.         <tr>
    2613. 

  2613.           <td class="paramkey"></td>
    2614. 

  2614.           <td></td>
    2615. 

  2615.           <td class="paramtype">const uint16_t&#160;</td>
    2616. 

  2616.           <td class="paramname"><em>kernel_x</em>, </td>
    2617. 

  2617.         </tr>
    2618. 

  2618.         <tr>
    2619. 

  2619.           <td class="paramkey"></td>
    2620. 

  2620.           <td></td>
    2621. 

  2621.           <td class="paramtype">const uint16_t&#160;</td>
    2622. 

  2622.           <td class="paramname"><em>kernel_y</em>, </td>
    2623. 

  2623.         </tr>
    2624. 

  2624.         <tr>
    2625. 

  2625.           <td class="paramkey"></td>
    2626. 

  2626.           <td></td>
    2627. 

  2627.           <td class="paramtype">const uint16_t&#160;</td>
    2628. 

  2628.           <td class="paramname"><em>pad_x</em>, </td>
    2629. 

  2629.         </tr>
    2630. 

  2630.         <tr>
    2631. 

  2631.           <td class="paramkey"></td>
    2632. 

  2632.           <td></td>
    2633. 

  2633.           <td class="paramtype">const uint16_t&#160;</td>
    2634. 

  2634.           <td class="paramname"><em>pad_y</em>, </td>
    2635. 

  2635.         </tr>
    2636. 

  2636.         <tr>
    2637. 

  2637.           <td class="paramkey"></td>
    2638. 

  2638.           <td></td>
    2639. 

  2639.           <td class="paramtype">const uint16_t&#160;</td>
    2640. 

  2640.           <td class="paramname"><em>stride_x</em>, </td>
    2641. 

  2641.         </tr>
    2642. 

  2642.         <tr>
    2643. 

  2643.           <td class="paramkey"></td>
    2644. 

  2644.           <td></td>
    2645. 

  2645.           <td class="paramtype">const uint16_t&#160;</td>
    2646. 

  2646.           <td class="paramname"><em>stride_y</em>, </td>
    2647. 

  2647.         </tr>
    2648. 

  2648.         <tr>
    2649. 

  2649.           <td class="paramkey"></td>
    2650. 

  2650.           <td></td>
    2651. 

  2651.           <td class="paramtype">const int32_t *&#160;</td>
    2652. 

  2652.           <td class="paramname"><em>bias</em>, </td>
    2653. 

  2653.         </tr>
    2654. 

  2654.         <tr>
    2655. 

  2655.           <td class="paramkey"></td>
    2656. 

  2656.           <td></td>
    2657. 

  2657.           <td class="paramtype">q7_t *&#160;</td>
    2658. 

  2658.           <td class="paramname"><em>output</em>, </td>
    2659. 

  2659.         </tr>
    2660. 

  2660.         <tr>
    2661. 

  2661.           <td class="paramkey"></td>
    2662. 

  2662.           <td></td>
    2663. 

  2663.           <td class="paramtype">const int32_t *&#160;</td>
    2664. 

  2664.           <td class="paramname"><em>output_shift</em>, </td>
    2665. 

  2665.         </tr>
    2666. 

  2666.         <tr>
    2667. 

  2667.           <td class="paramkey"></td>
    2668. 

  2668.           <td></td>
    2669. 

  2669.           <td class="paramtype">const int32_t *&#160;</td>
    2670. 

  2670.           <td class="paramname"><em>output_mult</em>, </td>
    2671. 

  2671.         </tr>
    2672. 

  2672.         <tr>
    2673. 

  2673.           <td class="paramkey"></td>
    2674. 

  2674.           <td></td>
    2675. 

  2675.           <td class="paramtype">const uint16_t&#160;</td>
    2676. 

  2676.           <td class="paramname"><em>output_x</em>, </td>
    2677. 

  2677.         </tr>
    2678. 

  2678.         <tr>
    2679. 

  2679.           <td class="paramkey"></td>
    2680. 

  2680.           <td></td>
    2681. 

  2681.           <td class="paramtype">const uint16_t&#160;</td>
    2682. 

  2682.           <td class="paramname"><em>output_y</em>, </td>
    2683. 

  2683.         </tr>
    2684. 

  2684.         <tr>
    2685. 

  2685.           <td class="paramkey"></td>
    2686. 

  2686.           <td></td>
    2687. 

  2687.           <td class="paramtype">const int32_t&#160;</td>
    2688. 

  2688.           <td class="paramname"><em>output_offset</em>, </td>
    2689. 

  2689.         </tr>
    2690. 

  2690.         <tr>
    2691. 

  2691.           <td class="paramkey"></td>
    2692. 

  2692.           <td></td>
    2693. 

  2693.           <td class="paramtype">const int32_t&#160;</td>
    2694. 

  2694.           <td class="paramname"><em>input_offset</em>, </td>
    2695. 

  2695.         </tr>
    2696. 

  2696.         <tr>
    2697. 

  2697.           <td class="paramkey"></td>
    2698. 

  2698.           <td></td>
    2699. 

  2699.           <td class="paramtype">const int32_t&#160;</td>
    2700. 

  2700.           <td class="paramname"><em>output_activation_min</em>, </td>
    2701. 

  2701.         </tr>
    2702. 

  2702.         <tr>
    2703. 

  2703.           <td class="paramkey"></td>
    2704. 

  2704.           <td></td>
    2705. 

  2705.           <td class="paramtype">const int32_t&#160;</td>
    2706. 

  2706.           <td class="paramname"><em>output_activation_max</em>, </td>
    2707. 

  2707.         </tr>
    2708. 

  2708.         <tr>
    2709. 

  2709.           <td class="paramkey"></td>
    2710. 

  2710.           <td></td>
    2711. 

  2711.           <td class="paramtype">const uint16_t&#160;</td>
    2712. 

  2712.           <td class="paramname"><em>dilation_x</em>, </td>
    2713. 

  2713.         </tr>
    2714. 

  2714.         <tr>
    2715. 

  2715.           <td class="paramkey"></td>
    2716. 

  2716.           <td></td>
    2717. 

  2717.           <td class="paramtype">const uint16_t&#160;</td>
    2718. 

  2718.           <td class="paramname"><em>dilation_y</em>, </td>
    2719. 

  2719.         </tr>
    2720. 

  2720.         <tr>
    2721. 

  2721.           <td class="paramkey"></td>
    2722. 

  2722.           <td></td>
    2723. 

  2723.           <td class="paramtype">q15_t *&#160;</td>
    2724. 

  2724.           <td class="paramname"><em>buffer_a</em>&#160;</td>
    2725. 

  2725.         </tr>
    2726. 

  2726.         <tr>
    2727. 

  2727.           <td></td>
    2728. 

  2728.           <td>)</td>
    2729. 

  2729.           <td></td><td></td>
    2730. 

  2730.         </tr>
    2731. 

  2731.       </table>
    2732. 

  2732. </div><div class="memdoc">
    2733. 

  2733. <dl class="params"><dt>Parameters</dt><dd>
    2734. 

  2734.   <table class="params">
    2735. 

  2735.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>pointer to input tensor. Range: int8, format: [H,W,in_ch] </td></tr>
    2736. 

  2736.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>input tensor width </td></tr>
    2737. 

  2737.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>input tensor height </td></tr>
    2738. 

  2738.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2739. 

  2739.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>pointer to kernel weights. Range: int8, Format: [in_ch, H, W, out_ch] </td></tr>
    2740. 

  2740.     <tr><td class="paramdir">[in]</td><td class="paramname">output_ch</td><td>Number of output channels. </td></tr>
    2741. 

  2741.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    2742. 

  2742.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    2743. 

  2743.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>padding along width </td></tr>
    2744. 

  2744.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>padding along height </td></tr>
    2745. 

  2745.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride along width </td></tr>
    2746. 

  2746.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride along height </td></tr>
    2747. 

  2747.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to per output channel bias. Range: int8 </td></tr>
    2748. 

  2748.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>pointer to output tensor. Format: [H, W, out_ch] </td></tr>
    2749. 

  2749.     <tr><td class="paramdir">[in]</td><td class="paramname">output_shift</td><td>pointer to per output channel requantization shift parameter. </td></tr>
    2750. 

  2750.     <tr><td class="paramdir">[in]</td><td class="paramname">output_mult</td><td>pointer to per output channel requantization multiplier parameter. </td></tr>
    2751. 

  2751.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>output tensor width </td></tr>
    2752. 

  2752.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>output tensor height </td></tr>
    2753. 

  2753.     <tr><td class="paramdir">[in]</td><td class="paramname">output_offset</td><td>offset to elements of output tensor </td></tr>
    2754. 

  2754.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>offset to elements of input tensor </td></tr>
    2755. 

  2755.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_min</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2756. 

  2756.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_max</td><td>Minimum value to clamp the output to. Range: int8 </td></tr>
    2757. 

  2757.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>dilation along x. Not used. Dilation factor of 1 is used. </td></tr>
    2758. 

  2758.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_y</td><td>dilation along y. Not used. Dilation factor of 1 is used. </td></tr>
    2759. 

  2759.     <tr><td class="paramdir">[in]</td><td class="paramname">buffer_a</td><td>Buffer for partial im2col optimization. This is mandatory when ARM_MATH_DSP is defined. Required space: (2 * input_ch * kernel_x * kernel_y) * sizeof(q15_t) bytes Use <a class="el" href="group__NNConv.html#gaa53d31632c765b9b4bbd490d0ae3c0c1" title="Get the required buffer size for optimized s8 depthwise convolution function with constraint that in_...">arm_depthwise_conv_s8_opt_get_buffer_size()</a> to get the size.</td></tr>
    2760. 

  2760.   </table>
    2761. 

  2761.   </dd>
    2762. 

  2762. </dl>
    2763. 

  2763. <dl class="section return"><dt>Returns</dt><dd>The function returns one of the following <code>ARM_MATH_SIZE_MISMATCH</code> - Unsupported dimension of tensors <code>ARM_MATH_SUCCESS</code> - Successful operation</dd></dl>
    2764. 

  2764. <dl class="section note"><dt>Note</dt><dd>If number of channels is not a multiple of 4, upto 3 elements outside the boundary will be read out for the following if MVE optimizations(Arm Helium Technology) are used.<ul>
    2765. 

  2765. <li>Output shift</li>
    2766. 

  2766. <li>Output multiplier</li>
    2767. 

  2767. <li>Output bias</li>
    2768. 

  2768. <li>kernel</li>
    2769. 

  2769. </ul>
    2770. 

  2770. </dd></dl>
    2771. 

  2771. <ol type="1">
    2772. 

  2772. <li>Supported framework: TensorFlow Lite</li>
    2773. 

  2773. <li>q7 is used as data type eventhough it is s8 data. It is done so to be consistent with existing APIs.</li>
    2774. 

  2774. <li>Reccomended when number of channels is 4 or greater. </li>
    2775. 

  2775. </ol>
    2776. 

  2776. 

  2777. <p>References <a class="el" href="group__NNConv.html#gae7e0c94c970bfd59d9c5e2331ce84fe7">arm_depthwise_conv_s8()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a085459f6280c8f586ddd64998dece532">arm_memcpy_q7()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a7018797f0abd9595cc0dc0aedbb5f17e">arm_memset_q7()</a>, <a class="el" href="group__NNBasicMath.html#gaf7e914e84c2fa6bcf9b0727b8c46c250">arm_nn_depthwise_conv_nt_t_padded_s8()</a>, <a class="el" href="group__NNBasicMath.html#ga7f74841dd08196377cc29ce98deb2c12">arm_nn_depthwise_conv_nt_t_s8()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a9d505dfe68f4486c2327df8a857a89ad">arm_nn_read_q15x2()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="group__nndata__convert.html#gab2d48529ae05b350a015f8f1e6596a31">arm_q7_to_q15_with_offset()</a>, <a class="el" href="arm__nnexamples__cifar10_8cpp.html#a1f988afc6d7fe29ded1eafbf79a70386">col_buffer</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    2778. 

  2778. 

  2779. </div>
    2780. 

  2780. </div>
    2781. 

  2781. <a class="anchor" id="gaa53d31632c765b9b4bbd490d0ae3c0c1"></a>
    2782. 

  2782. <div class="memitem">
    2783. 

  2783. <div class="memproto">
    2784. 

  2784.       <table class="memname">
    2785. 

  2785.         <tr>
    2786. 

  2786.           <td class="memname">int32_t arm_depthwise_conv_s8_opt_get_buffer_size </td>
    2787. 

  2787.           <td>(</td>
    2788. 

  2788.           <td class="paramtype">const uint16_t&#160;</td>
    2789. 

  2789.           <td class="paramname"><em>input_ch</em>, </td>
    2790. 

  2790.         </tr>
    2791. 

  2791.         <tr>
    2792. 

  2792.           <td class="paramkey"></td>
    2793. 

  2793.           <td></td>
    2794. 

  2794.           <td class="paramtype">const uint16_t&#160;</td>
    2795. 

  2795.           <td class="paramname"><em>kernel_x</em>, </td>
    2796. 

  2796.         </tr>
    2797. 

  2797.         <tr>
    2798. 

  2798.           <td class="paramkey"></td>
    2799. 

  2799.           <td></td>
    2800. 

  2800.           <td class="paramtype">const uint16_t&#160;</td>
    2801. 

  2801.           <td class="paramname"><em>kernel_y</em>&#160;</td>
    2802. 

  2802.         </tr>
    2803. 

  2803.         <tr>
    2804. 

  2804.           <td></td>
    2805. 

  2805.           <td>)</td>
    2806. 

  2806.           <td></td><td></td>
    2807. 

  2807.         </tr>
    2808. 

  2808.       </table>
    2809. 

  2809. </div><div class="memdoc">
    2810. 

  2810. <dl class="params"><dt>Parameters</dt><dd>
    2811. 

  2811.   <table class="params">
    2812. 

  2812.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>number of input tensor channels </td></tr>
    2813. 

  2813.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>filter/kernel width </td></tr>
    2814. 

  2814.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>filter/kernel height </td></tr>
    2815. 

  2815.   </table>
    2816. 

  2816.   </dd>
    2817. 

  2817. </dl>
    2818. 

  2818. <dl class="section return"><dt>Returns</dt><dd>The function returns required buffer size </dd></dl>
    2819. 

  2819. 

  2820. </div>
    2821. 

  2821. </div>
    2822. 

  2822. <a class="anchor" id="ga02a296cb4f6361a70c3ecf1ef1238292"></a>
    2823. 

  2823. <div class="memitem">
    2824. 

  2824. <div class="memproto">
    2825. 

  2825.       <table class="memname">
    2826. 

  2826.         <tr>
    2827. 

  2827.           <td class="memname">arm_status arm_depthwise_conv_u8_basic_ver1 </td>
    2828. 

  2828.           <td>(</td>
    2829. 

  2829.           <td class="paramtype">const uint8_t *&#160;</td>
    2830. 

  2830.           <td class="paramname"><em>input</em>, </td>
    2831. 

  2831.         </tr>
    2832. 

  2832.         <tr>
    2833. 

  2833.           <td class="paramkey"></td>
    2834. 

  2834.           <td></td>
    2835. 

  2835.           <td class="paramtype">const uint16_t&#160;</td>
    2836. 

  2836.           <td class="paramname"><em>input_x</em>, </td>
    2837. 

  2837.         </tr>
    2838. 

  2838.         <tr>
    2839. 

  2839.           <td class="paramkey"></td>
    2840. 

  2840.           <td></td>
    2841. 

  2841.           <td class="paramtype">const uint16_t&#160;</td>
    2842. 

  2842.           <td class="paramname"><em>input_y</em>, </td>
    2843. 

  2843.         </tr>
    2844. 

  2844.         <tr>
    2845. 

  2845.           <td class="paramkey"></td>
    2846. 

  2846.           <td></td>
    2847. 

  2847.           <td class="paramtype">const uint16_t&#160;</td>
    2848. 

  2848.           <td class="paramname"><em>input_ch</em>, </td>
    2849. 

  2849.         </tr>
    2850. 

  2850.         <tr>
    2851. 

  2851.           <td class="paramkey"></td>
    2852. 

  2852.           <td></td>
    2853. 

  2853.           <td class="paramtype">const uint8_t *&#160;</td>
    2854. 

  2854.           <td class="paramname"><em>kernel</em>, </td>
    2855. 

  2855.         </tr>
    2856. 

  2856.         <tr>
    2857. 

  2857.           <td class="paramkey"></td>
    2858. 

  2858.           <td></td>
    2859. 

  2859.           <td class="paramtype">const uint16_t&#160;</td>
    2860. 

  2860.           <td class="paramname"><em>kernel_x</em>, </td>
    2861. 

  2861.         </tr>
    2862. 

  2862.         <tr>
    2863. 

  2863.           <td class="paramkey"></td>
    2864. 

  2864.           <td></td>
    2865. 

  2865.           <td class="paramtype">const uint16_t&#160;</td>
    2866. 

  2866.           <td class="paramname"><em>kernel_y</em>, </td>
    2867. 

  2867.         </tr>
    2868. 

  2868.         <tr>
    2869. 

  2869.           <td class="paramkey"></td>
    2870. 

  2870.           <td></td>
    2871. 

  2871.           <td class="paramtype">const int16_t&#160;</td>
    2872. 

  2872.           <td class="paramname"><em>ch_mult</em>, </td>
    2873. 

  2873.         </tr>
    2874. 

  2874.         <tr>
    2875. 

  2875.           <td class="paramkey"></td>
    2876. 

  2876.           <td></td>
    2877. 

  2877.           <td class="paramtype">const int16_t&#160;</td>
    2878. 

  2878.           <td class="paramname"><em>pad_x</em>, </td>
    2879. 

  2879.         </tr>
    2880. 

  2880.         <tr>
    2881. 

  2881.           <td class="paramkey"></td>
    2882. 

  2882.           <td></td>
    2883. 

  2883.           <td class="paramtype">const int16_t&#160;</td>
    2884. 

  2884.           <td class="paramname"><em>pad_y</em>, </td>
    2885. 

  2885.         </tr>
    2886. 

  2886.         <tr>
    2887. 

  2887.           <td class="paramkey"></td>
    2888. 

  2888.           <td></td>
    2889. 

  2889.           <td class="paramtype">const int16_t&#160;</td>
    2890. 

  2890.           <td class="paramname"><em>stride_x</em>, </td>
    2891. 

  2891.         </tr>
    2892. 

  2892.         <tr>
    2893. 

  2893.           <td class="paramkey"></td>
    2894. 

  2894.           <td></td>
    2895. 

  2895.           <td class="paramtype">const int16_t&#160;</td>
    2896. 

  2896.           <td class="paramname"><em>stride_y</em>, </td>
    2897. 

  2897.         </tr>
    2898. 

  2898.         <tr>
    2899. 

  2899.           <td class="paramkey"></td>
    2900. 

  2900.           <td></td>
    2901. 

  2901.           <td class="paramtype">const int16_t&#160;</td>
    2902. 

  2902.           <td class="paramname"><em>dilation_x</em>, </td>
    2903. 

  2903.         </tr>
    2904. 

  2904.         <tr>
    2905. 

  2905.           <td class="paramkey"></td>
    2906. 

  2906.           <td></td>
    2907. 

  2907.           <td class="paramtype">const int16_t&#160;</td>
    2908. 

  2908.           <td class="paramname"><em>dilation_y</em>, </td>
    2909. 

  2909.         </tr>
    2910. 

  2910.         <tr>
    2911. 

  2911.           <td class="paramkey"></td>
    2912. 

  2912.           <td></td>
    2913. 

  2913.           <td class="paramtype">const int32_t *&#160;</td>
    2914. 

  2914.           <td class="paramname"><em>bias</em>, </td>
    2915. 

  2915.         </tr>
    2916. 

  2916.         <tr>
    2917. 

  2917.           <td class="paramkey"></td>
    2918. 

  2918.           <td></td>
    2919. 

  2919.           <td class="paramtype">const int32_t&#160;</td>
    2920. 

  2920.           <td class="paramname"><em>input_offset</em>, </td>
    2921. 

  2921.         </tr>
    2922. 

  2922.         <tr>
    2923. 

  2923.           <td class="paramkey"></td>
    2924. 

  2924.           <td></td>
    2925. 

  2925.           <td class="paramtype">const int32_t&#160;</td>
    2926. 

  2926.           <td class="paramname"><em>filter_offset</em>, </td>
    2927. 

  2927.         </tr>
    2928. 

  2928.         <tr>
    2929. 

  2929.           <td class="paramkey"></td>
    2930. 

  2930.           <td></td>
    2931. 

  2931.           <td class="paramtype">const int32_t&#160;</td>
    2932. 

  2932.           <td class="paramname"><em>output_offset</em>, </td>
    2933. 

  2933.         </tr>
    2934. 

  2934.         <tr>
    2935. 

  2935.           <td class="paramkey"></td>
    2936. 

  2936.           <td></td>
    2937. 

  2937.           <td class="paramtype">uint8_t *&#160;</td>
    2938. 

  2938.           <td class="paramname"><em>output</em>, </td>
    2939. 

  2939.         </tr>
    2940. 

  2940.         <tr>
    2941. 

  2941.           <td class="paramkey"></td>
    2942. 

  2942.           <td></td>
    2943. 

  2943.           <td class="paramtype">const uint16_t&#160;</td>
    2944. 

  2944.           <td class="paramname"><em>output_x</em>, </td>
    2945. 

  2945.         </tr>
    2946. 

  2946.         <tr>
    2947. 

  2947.           <td class="paramkey"></td>
    2948. 

  2948.           <td></td>
    2949. 

  2949.           <td class="paramtype">const uint16_t&#160;</td>
    2950. 

  2950.           <td class="paramname"><em>output_y</em>, </td>
    2951. 

  2951.         </tr>
    2952. 

  2952.         <tr>
    2953. 

  2953.           <td class="paramkey"></td>
    2954. 

  2954.           <td></td>
    2955. 

  2955.           <td class="paramtype">const int32_t&#160;</td>
    2956. 

  2956.           <td class="paramname"><em>output_activation_min</em>, </td>
    2957. 

  2957.         </tr>
    2958. 

  2958.         <tr>
    2959. 

  2959.           <td class="paramkey"></td>
    2960. 

  2960.           <td></td>
    2961. 

  2961.           <td class="paramtype">const int32_t&#160;</td>
    2962. 

  2962.           <td class="paramname"><em>output_activation_max</em>, </td>
    2963. 

  2963.         </tr>
    2964. 

  2964.         <tr>
    2965. 

  2965.           <td class="paramkey"></td>
    2966. 

  2966.           <td></td>
    2967. 

  2967.           <td class="paramtype">const int32_t&#160;</td>
    2968. 

  2968.           <td class="paramname"><em>out_shift</em>, </td>
    2969. 

  2969.         </tr>
    2970. 

  2970.         <tr>
    2971. 

  2971.           <td class="paramkey"></td>
    2972. 

  2972.           <td></td>
    2973. 

  2973.           <td class="paramtype">const int32_t&#160;</td>
    2974. 

  2974.           <td class="paramname"><em>out_mult</em>&#160;</td>
    2975. 

  2975.         </tr>
    2976. 

  2976.         <tr>
    2977. 

  2977.           <td></td>
    2978. 

  2978.           <td>)</td>
    2979. 

  2979.           <td></td><td></td>
    2980. 

  2980.         </tr>
    2981. 

  2981.       </table>
    2982. 

  2982. </div><div class="memdoc">
    2983. 

  2983. <p>uint8 depthwise convolution function with asymmetric quantization for even number of channel multiplier and input channels. Unless specified otherwise, arguments are mandatory.</p>
    2984. 

  2984. <dl class="params"><dt>Parameters</dt><dd>
    2985. 

  2985.   <table class="params">
    2986. 

  2986.     <tr><td class="paramdir">[in]</td><td class="paramname">input</td><td>Pointer to input tensor </td></tr>
    2987. 

  2987.     <tr><td class="paramdir">[in]</td><td class="paramname">input_x</td><td>Width of input tensor </td></tr>
    2988. 

  2988.     <tr><td class="paramdir">[in]</td><td class="paramname">input_y</td><td>Height of input tensor </td></tr>
    2989. 

  2989.     <tr><td class="paramdir">[in]</td><td class="paramname">input_ch</td><td>Channels in input tensor </td></tr>
    2990. 

  2990.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel</td><td>Pointer to kernel weights </td></tr>
    2991. 

  2991.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_x</td><td>Width of kernel </td></tr>
    2992. 

  2992.     <tr><td class="paramdir">[in]</td><td class="paramname">kernel_y</td><td>Height of kernel </td></tr>
    2993. 

  2993.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_mult</td><td>Number of channel multiplier </td></tr>
    2994. 

  2994.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_x</td><td>Padding sizes x </td></tr>
    2995. 

  2995.     <tr><td class="paramdir">[in]</td><td class="paramname">pad_y</td><td>Padding sizes y </td></tr>
    2996. 

  2996.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>Convolution stride along the width </td></tr>
    2997. 

  2997.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>Convolution stride along the height </td></tr>
    2998. 

  2998.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_x</td><td>Dilation along width. Not used and intended for future enhancement. </td></tr>
    2999. 

  2999.     <tr><td class="paramdir">[in]</td><td class="paramname">dilation_y</td><td>Dilation along height. Not used and intended for future enhancement. </td></tr>
    3000. 

  3000.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>Pointer to optional bias values. If no bias is availble, NULL is expected </td></tr>
    3001. 

  3001.     <tr><td class="paramdir">[in]</td><td class="paramname">input_offset</td><td>Input tensor zero offset </td></tr>
    3002. 

  3002.     <tr><td class="paramdir">[in]</td><td class="paramname">filter_offset</td><td>Kernel tensor zero offset </td></tr>
    3003. 

  3003.     <tr><td class="paramdir">[in]</td><td class="paramname">output_offset</td><td>Output tensor zero offset </td></tr>
    3004. 

  3004.     <tr><td class="paramdir">[in,out]</td><td class="paramname">output</td><td>Pointer to output tensor </td></tr>
    3005. 

  3005.     <tr><td class="paramdir">[in]</td><td class="paramname">output_x</td><td>Width of output tensor </td></tr>
    3006. 

  3006.     <tr><td class="paramdir">[in]</td><td class="paramname">output_y</td><td>Height of output tensor </td></tr>
    3007. 

  3007.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_min</td><td>Minimum value to clamp the output to. Range : {0, 255} </td></tr>
    3008. 

  3008.     <tr><td class="paramdir">[in]</td><td class="paramname">output_activation_max</td><td>Minimum value to clamp the output to. Range : {0, 255} </td></tr>
    3009. 

  3009.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>Amount of right-shift for output </td></tr>
    3010. 

  3010.     <tr><td class="paramdir">[in]</td><td class="paramname">out_mult</td><td>Output multiplier for requantization </td></tr>
    3011. 

  3011.   </table>
    3012. 

  3012.   </dd>
    3013. 

  3013. </dl>
    3014. 

  3014. <dl class="section return"><dt>Returns</dt><dd>The function returns one of the following <code>ARM_MATH_SIZE_MISMATCH</code> - Not supported dimension of tensors <code>ARM_MATH_SUCCESS</code> - Successful operation <code>ARM_MATH_ARGUMENT_ERROR</code> - Implementation not available</dd></dl>
    3015. 

  3015. <p><b> Input constraints</b> ch_mult is multiple of 2 kernel_x is multiple of 2 </p>
    3016. 

  3016. 

  3017. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#ab6dbc2fd53fae3ccdd1d0d70c8d3b491">arm_nn_divide_by_power_of_two()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a51721c10f116c9f5b8d9908367989d44">arm_nn_sat_doubling_high_mult()</a>, <a class="el" href="arm__depthwise__conv__u8__basic__ver1_8c.html#aeb98996ffa34fb40d8e91919d2ebdc56">DILATION_X</a>, <a class="el" href="arm__depthwise__conv__u8__basic__ver1_8c.html#a9371ac7b5689f9e74a18a2d548c32033">DILATION_Y</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#a2953f124ae444ebdd2b2a0873ac36b7e">LEFT_SHIFT</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#a26af54489c1401b91595bf0c92ef87c4">RIGHT_SHIFT</a>.</p>
    3018. 

  3018. 

  3019. </div>
    3020. 

  3020. </div>
    3021. 

  3021. <a class="anchor" id="gad3d21b3bc6dbd6f3b97d01104349cb0a"></a>
    3022. 

  3022. <div class="memitem">
    3023. 

  3023. <div class="memproto">
    3024. 

  3024.       <table class="memname">
    3025. 

  3025.         <tr>
    3026. 

  3026.           <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7 </td>
    3027. 

  3027.           <td>(</td>
    3028. 

  3028.           <td class="paramtype">const q7_t *&#160;</td>
    3029. 

  3029.           <td class="paramname"><em>Im_in</em>, </td>
    3030. 

  3030.         </tr>
    3031. 

  3031.         <tr>
    3032. 

  3032.           <td class="paramkey"></td>
    3033. 

  3033.           <td></td>
    3034. 

  3034.           <td class="paramtype">const uint16_t&#160;</td>
    3035. 

  3035.           <td class="paramname"><em>dim_im_in</em>, </td>
    3036. 

  3036.         </tr>
    3037. 

  3037.         <tr>
    3038. 

  3038.           <td class="paramkey"></td>
    3039. 

  3039.           <td></td>
    3040. 

  3040.           <td class="paramtype">const uint16_t&#160;</td>
    3041. 

  3041.           <td class="paramname"><em>ch_im_in</em>, </td>
    3042. 

  3042.         </tr>
    3043. 

  3043.         <tr>
    3044. 

  3044.           <td class="paramkey"></td>
    3045. 

  3045.           <td></td>
    3046. 

  3046.           <td class="paramtype">const q7_t *&#160;</td>
    3047. 

  3047.           <td class="paramname"><em>wt</em>, </td>
    3048. 

  3048.         </tr>
    3049. 

  3049.         <tr>
    3050. 

  3050.           <td class="paramkey"></td>
    3051. 

  3051.           <td></td>
    3052. 

  3052.           <td class="paramtype">const uint16_t&#160;</td>
    3053. 

  3053.           <td class="paramname"><em>ch_im_out</em>, </td>
    3054. 

  3054.         </tr>
    3055. 

  3055.         <tr>
    3056. 

  3056.           <td class="paramkey"></td>
    3057. 

  3057.           <td></td>
    3058. 

  3058.           <td class="paramtype">const uint16_t&#160;</td>
    3059. 

  3059.           <td class="paramname"><em>dim_kernel</em>, </td>
    3060. 

  3060.         </tr>
    3061. 

  3061.         <tr>
    3062. 

  3062.           <td class="paramkey"></td>
    3063. 

  3063.           <td></td>
    3064. 

  3064.           <td class="paramtype">const uint16_t&#160;</td>
    3065. 

  3065.           <td class="paramname"><em>padding</em>, </td>
    3066. 

  3066.         </tr>
    3067. 

  3067.         <tr>
    3068. 

  3068.           <td class="paramkey"></td>
    3069. 

  3069.           <td></td>
    3070. 

  3070.           <td class="paramtype">const uint16_t&#160;</td>
    3071. 

  3071.           <td class="paramname"><em>stride</em>, </td>
    3072. 

  3072.         </tr>
    3073. 

  3073.         <tr>
    3074. 

  3074.           <td class="paramkey"></td>
    3075. 

  3075.           <td></td>
    3076. 

  3076.           <td class="paramtype">const q7_t *&#160;</td>
    3077. 

  3077.           <td class="paramname"><em>bias</em>, </td>
    3078. 

  3078.         </tr>
    3079. 

  3079.         <tr>
    3080. 

  3080.           <td class="paramkey"></td>
    3081. 

  3081.           <td></td>
    3082. 

  3082.           <td class="paramtype">const uint16_t&#160;</td>
    3083. 

  3083.           <td class="paramname"><em>bias_shift</em>, </td>
    3084. 

  3084.         </tr>
    3085. 

  3085.         <tr>
    3086. 

  3086.           <td class="paramkey"></td>
    3087. 

  3087.           <td></td>
    3088. 

  3088.           <td class="paramtype">const uint16_t&#160;</td>
    3089. 

  3089.           <td class="paramname"><em>out_shift</em>, </td>
    3090. 

  3090.         </tr>
    3091. 

  3091.         <tr>
    3092. 

  3092.           <td class="paramkey"></td>
    3093. 

  3093.           <td></td>
    3094. 

  3094.           <td class="paramtype">q7_t *&#160;</td>
    3095. 

  3095.           <td class="paramname"><em>Im_out</em>, </td>
    3096. 

  3096.         </tr>
    3097. 

  3097.         <tr>
    3098. 

  3098.           <td class="paramkey"></td>
    3099. 

  3099.           <td></td>
    3100. 

  3100.           <td class="paramtype">const uint16_t&#160;</td>
    3101. 

  3101.           <td class="paramname"><em>dim_im_out</em>, </td>
    3102. 

  3102.         </tr>
    3103. 

  3103.         <tr>
    3104. 

  3104.           <td class="paramkey"></td>
    3105. 

  3105.           <td></td>
    3106. 

  3106.           <td class="paramtype">q15_t *&#160;</td>
    3107. 

  3107.           <td class="paramname"><em>bufferA</em>, </td>
    3108. 

  3108.         </tr>
    3109. 

  3109.         <tr>
    3110. 

  3110.           <td class="paramkey"></td>
    3111. 

  3111.           <td></td>
    3112. 

  3112.           <td class="paramtype">q7_t *&#160;</td>
    3113. 

  3113.           <td class="paramname"><em>bufferB</em>&#160;</td>
    3114. 

  3114.         </tr>
    3115. 

  3115.         <tr>
    3116. 

  3116.           <td></td>
    3117. 

  3117.           <td>)</td>
    3118. 

  3118.           <td></td><td></td>
    3119. 

  3119.         </tr>
    3120. 

  3120.       </table>
    3121. 

  3121. </div><div class="memdoc">
    3122. 

  3122. <dl class="params"><dt>Parameters</dt><dd>
    3123. 

  3123.   <table class="params">
    3124. 

  3124.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    3125. 

  3125.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in</td><td>input tensor dimention </td></tr>
    3126. 

  3126.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    3127. 

  3127.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    3128. 

  3128.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    3129. 

  3129.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel</td><td>filter kernel size </td></tr>
    3130. 

  3130.     <tr><td class="paramdir">[in]</td><td class="paramname">padding</td><td>padding sizes </td></tr>
    3131. 

  3131.     <tr><td class="paramdir">[in]</td><td class="paramname">stride</td><td>convolution stride </td></tr>
    3132. 

  3132.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    3133. 

  3133.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    3134. 

  3134.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    3135. 

  3135.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    3136. 

  3136.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out</td><td>output tensor dimension </td></tr>
    3137. 

  3137.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    3138. 

  3138.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    3139. 

  3139.   </table>
    3140. 

  3140.   </dd>
    3141. 

  3141. </dl>
    3142. 

  3142. <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>
    3143. 

  3143. <p><b>Buffer size:</b></p>
    3144. 

  3144. <p>bufferA size: 2*ch_im_in*dim_kernel*dim_kernel</p>
    3145. 

  3145. <p>bufferB size: 0</p>
    3146. 

  3146. <p><b>Input dimension constraints:</b></p>
    3147. 

  3147. <p>ch_im_in equals ch_im_out</p>
    3148. 

  3148. <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>
    3149. 

  3149. 

  3150. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4()</a>, <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>
    3151. 

  3151. 

  3152. </div>
    3153. 

  3153. </div>
    3154. 

  3154. <a class="anchor" id="ga32ac508c5467813a84f74f96655dc697"></a>
    3155. 

  3155. <div class="memitem">
    3156. 

  3156. <div class="memproto">
    3157. 

  3157.       <table class="memname">
    3158. 

  3158.         <tr>
    3159. 

  3159.           <td class="memname">arm_status arm_depthwise_separable_conv_HWC_q7_nonsquare </td>
    3160. 

  3160.           <td>(</td>
    3161. 

  3161.           <td class="paramtype">const q7_t *&#160;</td>
    3162. 

  3162.           <td class="paramname"><em>Im_in</em>, </td>
    3163. 

  3163.         </tr>
    3164. 

  3164.         <tr>
    3165. 

  3165.           <td class="paramkey"></td>
    3166. 

  3166.           <td></td>
    3167. 

  3167.           <td class="paramtype">const uint16_t&#160;</td>
    3168. 

  3168.           <td class="paramname"><em>dim_im_in_x</em>, </td>
    3169. 

  3169.         </tr>
    3170. 

  3170.         <tr>
    3171. 

  3171.           <td class="paramkey"></td>
    3172. 

  3172.           <td></td>
    3173. 

  3173.           <td class="paramtype">const uint16_t&#160;</td>
    3174. 

  3174.           <td class="paramname"><em>dim_im_in_y</em>, </td>
    3175. 

  3175.         </tr>
    3176. 

  3176.         <tr>
    3177. 

  3177.           <td class="paramkey"></td>
    3178. 

  3178.           <td></td>
    3179. 

  3179.           <td class="paramtype">const uint16_t&#160;</td>
    3180. 

  3180.           <td class="paramname"><em>ch_im_in</em>, </td>
    3181. 

  3181.         </tr>
    3182. 

  3182.         <tr>
    3183. 

  3183.           <td class="paramkey"></td>
    3184. 

  3184.           <td></td>
    3185. 

  3185.           <td class="paramtype">const q7_t *&#160;</td>
    3186. 

  3186.           <td class="paramname"><em>wt</em>, </td>
    3187. 

  3187.         </tr>
    3188. 

  3188.         <tr>
    3189. 

  3189.           <td class="paramkey"></td>
    3190. 

  3190.           <td></td>
    3191. 

  3191.           <td class="paramtype">const uint16_t&#160;</td>
    3192. 

  3192.           <td class="paramname"><em>ch_im_out</em>, </td>
    3193. 

  3193.         </tr>
    3194. 

  3194.         <tr>
    3195. 

  3195.           <td class="paramkey"></td>
    3196. 

  3196.           <td></td>
    3197. 

  3197.           <td class="paramtype">const uint16_t&#160;</td>
    3198. 

  3198.           <td class="paramname"><em>dim_kernel_x</em>, </td>
    3199. 

  3199.         </tr>
    3200. 

  3200.         <tr>
    3201. 

  3201.           <td class="paramkey"></td>
    3202. 

  3202.           <td></td>
    3203. 

  3203.           <td class="paramtype">const uint16_t&#160;</td>
    3204. 

  3204.           <td class="paramname"><em>dim_kernel_y</em>, </td>
    3205. 

  3205.         </tr>
    3206. 

  3206.         <tr>
    3207. 

  3207.           <td class="paramkey"></td>
    3208. 

  3208.           <td></td>
    3209. 

  3209.           <td class="paramtype">const uint16_t&#160;</td>
    3210. 

  3210.           <td class="paramname"><em>padding_x</em>, </td>
    3211. 

  3211.         </tr>
    3212. 

  3212.         <tr>
    3213. 

  3213.           <td class="paramkey"></td>
    3214. 

  3214.           <td></td>
    3215. 

  3215.           <td class="paramtype">const uint16_t&#160;</td>
    3216. 

  3216.           <td class="paramname"><em>padding_y</em>, </td>
    3217. 

  3217.         </tr>
    3218. 

  3218.         <tr>
    3219. 

  3219.           <td class="paramkey"></td>
    3220. 

  3220.           <td></td>
    3221. 

  3221.           <td class="paramtype">const uint16_t&#160;</td>
    3222. 

  3222.           <td class="paramname"><em>stride_x</em>, </td>
    3223. 

  3223.         </tr>
    3224. 

  3224.         <tr>
    3225. 

  3225.           <td class="paramkey"></td>
    3226. 

  3226.           <td></td>
    3227. 

  3227.           <td class="paramtype">const uint16_t&#160;</td>
    3228. 

  3228.           <td class="paramname"><em>stride_y</em>, </td>
    3229. 

  3229.         </tr>
    3230. 

  3230.         <tr>
    3231. 

  3231.           <td class="paramkey"></td>
    3232. 

  3232.           <td></td>
    3233. 

  3233.           <td class="paramtype">const q7_t *&#160;</td>
    3234. 

  3234.           <td class="paramname"><em>bias</em>, </td>
    3235. 

  3235.         </tr>
    3236. 

  3236.         <tr>
    3237. 

  3237.           <td class="paramkey"></td>
    3238. 

  3238.           <td></td>
    3239. 

  3239.           <td class="paramtype">const uint16_t&#160;</td>
    3240. 

  3240.           <td class="paramname"><em>bias_shift</em>, </td>
    3241. 

  3241.         </tr>
    3242. 

  3242.         <tr>
    3243. 

  3243.           <td class="paramkey"></td>
    3244. 

  3244.           <td></td>
    3245. 

  3245.           <td class="paramtype">const uint16_t&#160;</td>
    3246. 

  3246.           <td class="paramname"><em>out_shift</em>, </td>
    3247. 

  3247.         </tr>
    3248. 

  3248.         <tr>
    3249. 

  3249.           <td class="paramkey"></td>
    3250. 

  3250.           <td></td>
    3251. 

  3251.           <td class="paramtype">q7_t *&#160;</td>
    3252. 

  3252.           <td class="paramname"><em>Im_out</em>, </td>
    3253. 

  3253.         </tr>
    3254. 

  3254.         <tr>
    3255. 

  3255.           <td class="paramkey"></td>
    3256. 

  3256.           <td></td>
    3257. 

  3257.           <td class="paramtype">const uint16_t&#160;</td>
    3258. 

  3258.           <td class="paramname"><em>dim_im_out_x</em>, </td>
    3259. 

  3259.         </tr>
    3260. 

  3260.         <tr>
    3261. 

  3261.           <td class="paramkey"></td>
    3262. 

  3262.           <td></td>
    3263. 

  3263.           <td class="paramtype">const uint16_t&#160;</td>
    3264. 

  3264.           <td class="paramname"><em>dim_im_out_y</em>, </td>
    3265. 

  3265.         </tr>
    3266. 

  3266.         <tr>
    3267. 

  3267.           <td class="paramkey"></td>
    3268. 

  3268.           <td></td>
    3269. 

  3269.           <td class="paramtype">q15_t *&#160;</td>
    3270. 

  3270.           <td class="paramname"><em>bufferA</em>, </td>
    3271. 

  3271.         </tr>
    3272. 

  3272.         <tr>
    3273. 

  3273.           <td class="paramkey"></td>
    3274. 

  3274.           <td></td>
    3275. 

  3275.           <td class="paramtype">q7_t *&#160;</td>
    3276. 

  3276.           <td class="paramname"><em>bufferB</em>&#160;</td>
    3277. 

  3277.         </tr>
    3278. 

  3278.         <tr>
    3279. 

  3279.           <td></td>
    3280. 

  3280.           <td>)</td>
    3281. 

  3281.           <td></td><td></td>
    3282. 

  3282.         </tr>
    3283. 

  3283.       </table>
    3284. 

  3284. </div><div class="memdoc">
    3285. 

  3285. <dl class="params"><dt>Parameters</dt><dd>
    3286. 

  3286.   <table class="params">
    3287. 

  3287.     <tr><td class="paramdir">[in]</td><td class="paramname">Im_in</td><td>pointer to input tensor </td></tr>
    3288. 

  3288.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_x</td><td>input tensor dimention x </td></tr>
    3289. 

  3289.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_in_y</td><td>input tensor dimention y </td></tr>
    3290. 

  3290.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_in</td><td>number of input tensor channels </td></tr>
    3291. 

  3291.     <tr><td class="paramdir">[in]</td><td class="paramname">wt</td><td>pointer to kernel weights </td></tr>
    3292. 

  3292.     <tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>number of filters, i.e., output tensor channels </td></tr>
    3293. 

  3293.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_x</td><td>filter kernel size x </td></tr>
    3294. 

  3294.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_kernel_y</td><td>filter kernel size y </td></tr>
    3295. 

  3295.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_x</td><td>padding sizes x </td></tr>
    3296. 

  3296.     <tr><td class="paramdir">[in]</td><td class="paramname">padding_y</td><td>padding sizes y </td></tr>
    3297. 

  3297.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_x</td><td>convolution stride x </td></tr>
    3298. 

  3298.     <tr><td class="paramdir">[in]</td><td class="paramname">stride_y</td><td>convolution stride y </td></tr>
    3299. 

  3299.     <tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>pointer to bias </td></tr>
    3300. 

  3300.     <tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
    3301. 

  3301.     <tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
    3302. 

  3302.     <tr><td class="paramdir">[in,out]</td><td class="paramname">Im_out</td><td>pointer to output tensor </td></tr>
    3303. 

  3303.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_x</td><td>output tensor dimension x </td></tr>
    3304. 

  3304.     <tr><td class="paramdir">[in]</td><td class="paramname">dim_im_out_y</td><td>output tensor dimension y </td></tr>
    3305. 

  3305.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferA</td><td>pointer to buffer space for input </td></tr>
    3306. 

  3306.     <tr><td class="paramdir">[in,out]</td><td class="paramname">bufferB</td><td>pointer to buffer space for output </td></tr>
    3307. 

  3307.   </table>
    3308. 

  3308.   </dd>
    3309. 

  3309. </dl>
    3310. 

  3310. <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>
    3311. 

  3311. <p>This function is the version with full list of optimization tricks, but with some contraints: ch_im_in is equal to ch_im_out </p>
    3312. 

  3312. 

  3313. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a31fa46f17212fbcb65d2cdae06fc08f5">arm_nn_read_q7x4()</a>, <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>
    3314. 

  3314. 

  3315. </div>
    3316. 

  3316. </div>
    3317. 

  3317. <a class="anchor" id="ga00ec3089e06c8953b4e12582583261c9"></a>
    3318. 

  3318. <div class="memitem">
    3319. 

  3319. <div class="memproto">
    3320. 

  3320. <table class="mlabels">
    3321. 

  3321.   <tr>
    3322. 

  3322.   <td class="mlabels-left">
    3323. 

  3323.       <table class="memname">
    3324. 

  3324.         <tr>
    3325. 

  3325.           <td class="memname">static void depthwise_conv_s8_generic </td>
    3326. 

  3326.           <td>(</td>
    3327. 

  3327.           <td class="paramtype">const q7_t *&#160;</td>
    3328. 

  3328.           <td class="paramname"><em>input</em>, </td>
    3329. 

  3329.         </tr>
    3330. 

  3330.         <tr>
    3331. 

  3331.           <td class="paramkey"></td>
    3332. 

  3332.           <td></td>
    3333. 

  3333.           <td class="paramtype">const uint16_t&#160;</td>
    3334. 

  3334.           <td class="paramname"><em>input_x</em>, </td>
    3335. 

  3335.         </tr>
    3336. 

  3336.         <tr>
    3337. 

  3337.           <td class="paramkey"></td>
    3338. 

  3338.           <td></td>
    3339. 

  3339.           <td class="paramtype">const uint16_t&#160;</td>
    3340. 

  3340.           <td class="paramname"><em>input_y</em>, </td>
    3341. 

  3341.         </tr>
    3342. 

  3342.         <tr>
    3343. 

  3343.           <td class="paramkey"></td>
    3344. 

  3344.           <td></td>
    3345. 

  3345.           <td class="paramtype">const uint16_t&#160;</td>
    3346. 

  3346.           <td class="paramname"><em>input_ch</em>, </td>
    3347. 

  3347.         </tr>
    3348. 

  3348.         <tr>
    3349. 

  3349.           <td class="paramkey"></td>
    3350. 

  3350.           <td></td>
    3351. 

  3351.           <td class="paramtype">const q7_t *&#160;</td>
    3352. 

  3352.           <td class="paramname"><em>kernel</em>, </td>
    3353. 

  3353.         </tr>
    3354. 

  3354.         <tr>
    3355. 

  3355.           <td class="paramkey"></td>
    3356. 

  3356.           <td></td>
    3357. 

  3357.           <td class="paramtype">const uint16_t&#160;</td>
    3358. 

  3358.           <td class="paramname"><em>output_ch</em>, </td>
    3359. 

  3359.         </tr>
    3360. 

  3360.         <tr>
    3361. 

  3361.           <td class="paramkey"></td>
    3362. 

  3362.           <td></td>
    3363. 

  3363.           <td class="paramtype">const uint16_t&#160;</td>
    3364. 

  3364.           <td class="paramname"><em>ch_mult</em>, </td>
    3365. 

  3365.         </tr>
    3366. 

  3366.         <tr>
    3367. 

  3367.           <td class="paramkey"></td>
    3368. 

  3368.           <td></td>
    3369. 

  3369.           <td class="paramtype">const uint16_t&#160;</td>
    3370. 

  3370.           <td class="paramname"><em>kernel_x</em>, </td>
    3371. 

  3371.         </tr>
    3372. 

  3372.         <tr>
    3373. 

  3373.           <td class="paramkey"></td>
    3374. 

  3374.           <td></td>
    3375. 

  3375.           <td class="paramtype">const uint16_t&#160;</td>
    3376. 

  3376.           <td class="paramname"><em>kernel_y</em>, </td>
    3377. 

  3377.         </tr>
    3378. 

  3378.         <tr>
    3379. 

  3379.           <td class="paramkey"></td>
    3380. 

  3380.           <td></td>
    3381. 

  3381.           <td class="paramtype">const uint16_t&#160;</td>
    3382. 

  3382.           <td class="paramname"><em>pad_x</em>, </td>
    3383. 

  3383.         </tr>
    3384. 

  3384.         <tr>
    3385. 

  3385.           <td class="paramkey"></td>
    3386. 

  3386.           <td></td>
    3387. 

  3387.           <td class="paramtype">const uint16_t&#160;</td>
    3388. 

  3388.           <td class="paramname"><em>pad_y</em>, </td>
    3389. 

  3389.         </tr>
    3390. 

  3390.         <tr>
    3391. 

  3391.           <td class="paramkey"></td>
    3392. 

  3392.           <td></td>
    3393. 

  3393.           <td class="paramtype">const uint16_t&#160;</td>
    3394. 

  3394.           <td class="paramname"><em>stride_x</em>, </td>
    3395. 

  3395.         </tr>
    3396. 

  3396.         <tr>
    3397. 

  3397.           <td class="paramkey"></td>
    3398. 

  3398.           <td></td>
    3399. 

  3399.           <td class="paramtype">const uint16_t&#160;</td>
    3400. 

  3400.           <td class="paramname"><em>stride_y</em>, </td>
    3401. 

  3401.         </tr>
    3402. 

  3402.         <tr>
    3403. 

  3403.           <td class="paramkey"></td>
    3404. 

  3404.           <td></td>
    3405. 

  3405.           <td class="paramtype">const int32_t *&#160;</td>
    3406. 

  3406.           <td class="paramname"><em>bias</em>, </td>
    3407. 

  3407.         </tr>
    3408. 

  3408.         <tr>
    3409. 

  3409.           <td class="paramkey"></td>
    3410. 

  3410.           <td></td>
    3411. 

  3411.           <td class="paramtype">q7_t *&#160;</td>
    3412. 

  3412.           <td class="paramname"><em>output</em>, </td>
    3413. 

  3413.         </tr>
    3414. 

  3414.         <tr>
    3415. 

  3415.           <td class="paramkey"></td>
    3416. 

  3416.           <td></td>
    3417. 

  3417.           <td class="paramtype">const int32_t *&#160;</td>
    3418. 

  3418.           <td class="paramname"><em>output_shift</em>, </td>
    3419. 

  3419.         </tr>
    3420. 

  3420.         <tr>
    3421. 

  3421.           <td class="paramkey"></td>
    3422. 

  3422.           <td></td>
    3423. 

  3423.           <td class="paramtype">const int32_t *&#160;</td>
    3424. 

  3424.           <td class="paramname"><em>output_mult</em>, </td>
    3425. 

  3425.         </tr>
    3426. 

  3426.         <tr>
    3427. 

  3427.           <td class="paramkey"></td>
    3428. 

  3428.           <td></td>
    3429. 

  3429.           <td class="paramtype">const uint16_t&#160;</td>
    3430. 

  3430.           <td class="paramname"><em>output_x</em>, </td>
    3431. 

  3431.         </tr>
    3432. 

  3432.         <tr>
    3433. 

  3433.           <td class="paramkey"></td>
    3434. 

  3434.           <td></td>
    3435. 

  3435.           <td class="paramtype">const uint16_t&#160;</td>
    3436. 

  3436.           <td class="paramname"><em>output_y</em>, </td>
    3437. 

  3437.         </tr>
    3438. 

  3438.         <tr>
    3439. 

  3439.           <td class="paramkey"></td>
    3440. 

  3440.           <td></td>
    3441. 

  3441.           <td class="paramtype">const int32_t&#160;</td>
    3442. 

  3442.           <td class="paramname"><em>output_offset</em>, </td>
    3443. 

  3443.         </tr>
    3444. 

  3444.         <tr>
    3445. 

  3445.           <td class="paramkey"></td>
    3446. 

  3446.           <td></td>
    3447. 

  3447.           <td class="paramtype">const int32_t&#160;</td>
    3448. 

  3448.           <td class="paramname"><em>input_offset</em>, </td>
    3449. 

  3449.         </tr>
    3450. 

  3450.         <tr>
    3451. 

  3451.           <td class="paramkey"></td>
    3452. 

  3452.           <td></td>
    3453. 

  3453.           <td class="paramtype">const int32_t&#160;</td>
    3454. 

  3454.           <td class="paramname"><em>output_activation_min</em>, </td>
    3455. 

  3455.         </tr>
    3456. 

  3456.         <tr>
    3457. 

  3457.           <td class="paramkey"></td>
    3458. 

  3458.           <td></td>
    3459. 

  3459.           <td class="paramtype">const int32_t&#160;</td>
    3460. 

  3460.           <td class="paramname"><em>output_activation_max</em>&#160;</td>
    3461. 

  3461.         </tr>
    3462. 

  3462.         <tr>
    3463. 

  3463.           <td></td>
    3464. 

  3464.           <td>)</td>
    3465. 

  3465.           <td></td><td></td>
    3466. 

  3466.         </tr>
    3467. 

  3467.       </table>
    3468. 

  3468.   </td>
    3469. 

  3469.   <td class="mlabels-right">
    3470. 

  3470. <span class="mlabels"><span class="mlabel">static</span></span>  </td>
    3471. 

  3471.   </tr>
    3472. 

  3472. </table>
    3473. 

  3473. </div><div class="memdoc">
    3474. 

  3474. 

  3475. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    3476. 

  3476. 

  3477. <p>Referenced by <a class="el" href="group__NNConv.html#gae7e0c94c970bfd59d9c5e2331ce84fe7">arm_depthwise_conv_s8()</a>.</p>
    3478. 

  3478. 

  3479. </div>
    3480. 

  3480. </div>
    3481. 

  3481. <a class="anchor" id="ga06d7783f6788faad5165fd0ae583bc59"></a>
    3482. 

  3482. <div class="memitem">
    3483. 

  3483. <div class="memproto">
    3484. 

  3484. <table class="mlabels">
    3485. 

  3485.   <tr>
    3486. 

  3486.   <td class="mlabels-left">
    3487. 

  3487.       <table class="memname">
    3488. 

  3488.         <tr>
    3489. 

  3489.           <td class="memname">static void depthwise_conv_s8_mult_4 </td>
    3490. 

  3490.           <td>(</td>
    3491. 

  3491.           <td class="paramtype">const int8_t *&#160;</td>
    3492. 

  3492.           <td class="paramname"><em>input</em>, </td>
    3493. 

  3493.         </tr>
    3494. 

  3494.         <tr>
    3495. 

  3495.           <td class="paramkey"></td>
    3496. 

  3496.           <td></td>
    3497. 

  3497.           <td class="paramtype">const int32_t&#160;</td>
    3498. 

  3498.           <td class="paramname"><em>input_x</em>, </td>
    3499. 

  3499.         </tr>
    3500. 

  3500.         <tr>
    3501. 

  3501.           <td class="paramkey"></td>
    3502. 

  3502.           <td></td>
    3503. 

  3503.           <td class="paramtype">const int32_t&#160;</td>
    3504. 

  3504.           <td class="paramname"><em>input_y</em>, </td>
    3505. 

  3505.         </tr>
    3506. 

  3506.         <tr>
    3507. 

  3507.           <td class="paramkey"></td>
    3508. 

  3508.           <td></td>
    3509. 

  3509.           <td class="paramtype">const int32_t&#160;</td>
    3510. 

  3510.           <td class="paramname"><em>input_ch</em>, </td>
    3511. 

  3511.         </tr>
    3512. 

  3512.         <tr>
    3513. 

  3513.           <td class="paramkey"></td>
    3514. 

  3514.           <td></td>
    3515. 

  3515.           <td class="paramtype">const int8_t *&#160;</td>
    3516. 

  3516.           <td class="paramname"><em>kernel</em>, </td>
    3517. 

  3517.         </tr>
    3518. 

  3518.         <tr>
    3519. 

  3519.           <td class="paramkey"></td>
    3520. 

  3520.           <td></td>
    3521. 

  3521.           <td class="paramtype">const int32_t&#160;</td>
    3522. 

  3522.           <td class="paramname"><em>output_ch</em>, </td>
    3523. 

  3523.         </tr>
    3524. 

  3524.         <tr>
    3525. 

  3525.           <td class="paramkey"></td>
    3526. 

  3526.           <td></td>
    3527. 

  3527.           <td class="paramtype">const int32_t&#160;</td>
    3528. 

  3528.           <td class="paramname"><em>ch_mult</em>, </td>
    3529. 

  3529.         </tr>
    3530. 

  3530.         <tr>
    3531. 

  3531.           <td class="paramkey"></td>
    3532. 

  3532.           <td></td>
    3533. 

  3533.           <td class="paramtype">const int32_t&#160;</td>
    3534. 

  3534.           <td class="paramname"><em>kernel_x</em>, </td>
    3535. 

  3535.         </tr>
    3536. 

  3536.         <tr>
    3537. 

  3537.           <td class="paramkey"></td>
    3538. 

  3538.           <td></td>
    3539. 

  3539.           <td class="paramtype">const int32_t&#160;</td>
    3540. 

  3540.           <td class="paramname"><em>kernel_y</em>, </td>
    3541. 

  3541.         </tr>
    3542. 

  3542.         <tr>
    3543. 

  3543.           <td class="paramkey"></td>
    3544. 

  3544.           <td></td>
    3545. 

  3545.           <td class="paramtype">const int32_t&#160;</td>
    3546. 

  3546.           <td class="paramname"><em>pad_x</em>, </td>
    3547. 

  3547.         </tr>
    3548. 

  3548.         <tr>
    3549. 

  3549.           <td class="paramkey"></td>
    3550. 

  3550.           <td></td>
    3551. 

  3551.           <td class="paramtype">const int32_t&#160;</td>
    3552. 

  3552.           <td class="paramname"><em>pad_y</em>, </td>
    3553. 

  3553.         </tr>
    3554. 

  3554.         <tr>
    3555. 

  3555.           <td class="paramkey"></td>
    3556. 

  3556.           <td></td>
    3557. 

  3557.           <td class="paramtype">const int32_t&#160;</td>
    3558. 

  3558.           <td class="paramname"><em>stride_x</em>, </td>
    3559. 

  3559.         </tr>
    3560. 

  3560.         <tr>
    3561. 

  3561.           <td class="paramkey"></td>
    3562. 

  3562.           <td></td>
    3563. 

  3563.           <td class="paramtype">const int32_t&#160;</td>
    3564. 

  3564.           <td class="paramname"><em>stride_y</em>, </td>
    3565. 

  3565.         </tr>
    3566. 

  3566.         <tr>
    3567. 

  3567.           <td class="paramkey"></td>
    3568. 

  3568.           <td></td>
    3569. 

  3569.           <td class="paramtype">const int32_t *&#160;</td>
    3570. 

  3570.           <td class="paramname"><em>bias</em>, </td>
    3571. 

  3571.         </tr>
    3572. 

  3572.         <tr>
    3573. 

  3573.           <td class="paramkey"></td>
    3574. 

  3574.           <td></td>
    3575. 

  3575.           <td class="paramtype">int8_t *&#160;</td>
    3576. 

  3576.           <td class="paramname"><em>output</em>, </td>
    3577. 

  3577.         </tr>
    3578. 

  3578.         <tr>
    3579. 

  3579.           <td class="paramkey"></td>
    3580. 

  3580.           <td></td>
    3581. 

  3581.           <td class="paramtype">const int32_t *&#160;</td>
    3582. 

  3582.           <td class="paramname"><em>output_shift</em>, </td>
    3583. 

  3583.         </tr>
    3584. 

  3584.         <tr>
    3585. 

  3585.           <td class="paramkey"></td>
    3586. 

  3586.           <td></td>
    3587. 

  3587.           <td class="paramtype">const int32_t *&#160;</td>
    3588. 

  3588.           <td class="paramname"><em>output_mult</em>, </td>
    3589. 

  3589.         </tr>
    3590. 

  3590.         <tr>
    3591. 

  3591.           <td class="paramkey"></td>
    3592. 

  3592.           <td></td>
    3593. 

  3593.           <td class="paramtype">const int32_t&#160;</td>
    3594. 

  3594.           <td class="paramname"><em>output_x</em>, </td>
    3595. 

  3595.         </tr>
    3596. 

  3596.         <tr>
    3597. 

  3597.           <td class="paramkey"></td>
    3598. 

  3598.           <td></td>
    3599. 

  3599.           <td class="paramtype">const int32_t&#160;</td>
    3600. 

  3600.           <td class="paramname"><em>output_y</em>, </td>
    3601. 

  3601.         </tr>
    3602. 

  3602.         <tr>
    3603. 

  3603.           <td class="paramkey"></td>
    3604. 

  3604.           <td></td>
    3605. 

  3605.           <td class="paramtype">const int32_t&#160;</td>
    3606. 

  3606.           <td class="paramname"><em>output_offset</em>, </td>
    3607. 

  3607.         </tr>
    3608. 

  3608.         <tr>
    3609. 

  3609.           <td class="paramkey"></td>
    3610. 

  3610.           <td></td>
    3611. 

  3611.           <td class="paramtype">const int32_t&#160;</td>
    3612. 

  3612.           <td class="paramname"><em>input_offset</em>, </td>
    3613. 

  3613.         </tr>
    3614. 

  3614.         <tr>
    3615. 

  3615.           <td class="paramkey"></td>
    3616. 

  3616.           <td></td>
    3617. 

  3617.           <td class="paramtype">const int32_t&#160;</td>
    3618. 

  3618.           <td class="paramname"><em>output_activation_min</em>, </td>
    3619. 

  3619.         </tr>
    3620. 

  3620.         <tr>
    3621. 

  3621.           <td class="paramkey"></td>
    3622. 

  3622.           <td></td>
    3623. 

  3623.           <td class="paramtype">const int32_t&#160;</td>
    3624. 

  3624.           <td class="paramname"><em>output_activation_max</em>&#160;</td>
    3625. 

  3625.         </tr>
    3626. 

  3626.         <tr>
    3627. 

  3627.           <td></td>
    3628. 

  3628.           <td>)</td>
    3629. 

  3629.           <td></td><td></td>
    3630. 

  3630.         </tr>
    3631. 

  3631.       </table>
    3632. 

  3632.   </td>
    3633. 

  3633.   <td class="mlabels-right">
    3634. 

  3634. <span class="mlabels"><span class="mlabel">static</span></span>  </td>
    3635. 

  3635.   </tr>
    3636. 

  3636. </table>
    3637. 

  3637. </div><div class="memdoc">
    3638. 

  3638. 

  3639. <p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a6a13b7a567485da5fc7f0d311318886d">arm_nn_requantize()</a>, <a class="el" href="arm__nnsupportfunctions_8h.html#ad935f1ff1a50822e317bdb321ce991ad">MAX</a>, and <a class="el" href="arm__nnsupportfunctions_8h.html#adcd021ac91d43a62b2cdecf9a5b971a7">MIN</a>.</p>
    3640. 

  3640. 

  3641. <p>Referenced by <a class="el" href="group__NNConv.html#gae7e0c94c970bfd59d9c5e2331ce84fe7">arm_depthwise_conv_s8()</a>.</p>
    3642. 

  3642. 

  3643. </div>
    3644. 

  3644. </div>
    3645. 

  3645. </div><!-- contents -->
    3646. 

  3646. </div><!-- doc-content -->
    3647. 

  3647. <!-- start footer part -->
    3648. 

  3648. <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
    3649. 

  3649.   <ul>
    3650. 

  3650.     <li class="footer">Generated on Thu Apr 9 2020 15:49:34 for CMSIS-NN Version 1.3.0 by Arm Ltd. All rights reserved.
    3651. 

  3651. 	<!--
    3652. 

  3652.     <a href="http://www.doxygen.org/index.html">
    3653. 

  3653.     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.6 
    3654. 

  3654. 	-->
    3655. 

  3655. 	</li>
    3656. 

  3656.   </ul>
    3657. 

  3657. </div>
    3658. 

  3658. </body>
    3659. 

  3659. </html>
    3660.