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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="define-members"></a>
Macros</h2></td></tr>
<tr class="memitem:a710b6e009261290c6151f329cf409530"><td class="memItemLeft" align="right" valign="top">#define </td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#a710b6e009261290c6151f329cf409530">USE_INTRINSIC</a></td></tr>
<tr class="separator:a710b6e009261290c6151f329cf409530"><td class="memSeparator" colspan="2"> </td></tr>
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<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="mdescLeft"> </td><td class="mdescRight">Basic Q7 convolution function. <a href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">More...</a><br/></td></tr>
<tr class="separator:ga210ae8d8fc1d12ee15b41f1fa6947681"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga4501fa22c0836002aa47ccc313dce252"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga4501fa22c0836002aa47ccc313dce252"><td class="mdescLeft"> </td><td class="mdescRight">Basic Q7 convolution function (non-sqaure shape) <a href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">More...</a><br/></td></tr>
<tr class="separator:ga4501fa22c0836002aa47ccc313dce252"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga55701f213b198084b52eab53097f1f58"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga55701f213b198084b52eab53097f1f58"><td class="mdescLeft"> </td><td class="mdescRight">Basic Q15 convolution function. <a href="group__NNConv.html#ga55701f213b198084b52eab53097f1f58">More...</a><br/></td></tr>
<tr class="separator:ga55701f213b198084b52eab53097f1f58"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gae00d3c1285907d59657369fc98bcc83f"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:gae00d3c1285907d59657369fc98bcc83f"><td class="mdescLeft"> </td><td class="mdescRight">Fast Q7 convolution function. <a href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">More...</a><br/></td></tr>
<tr class="separator:gae00d3c1285907d59657369fc98bcc83f"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="mdescLeft"> </td><td class="mdescRight">Fast Q7 convolution function (non-sqaure shape) <a href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">More...</a><br/></td></tr>
<tr class="separator:gabc6d6b991024e9e5c5cdbd7489de88ef"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga110adcfdaab356c750c6270aa5e05f29"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga110adcfdaab356c750c6270aa5e05f29"><td class="mdescLeft"> </td><td class="mdescRight">Fast Q7 version of 1x1 convolution (non-sqaure shape) <a href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">More...</a><br/></td></tr>
<tr class="separator:ga110adcfdaab356c750c6270aa5e05f29"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="mdescLeft"> </td><td class="mdescRight">Q7 version of convolution for RGB image. <a href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">More...</a><br/></td></tr>
<tr class="separator:ga98f2ead67d7cbdf558b0cd8a3b8fc148"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="mdescLeft"> </td><td class="mdescRight">Fast Q15 convolution function. <a href="group__NNConv.html#ga4efb1ccbbaa7dd936961989dcb443f50">More...</a><br/></td></tr>
<tr class="separator:ga4efb1ccbbaa7dd936961989dcb443f50"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="mdescLeft"> </td><td class="mdescRight">Fast Q15 convolution function (non-sqaure shape) <a href="group__NNConv.html#ga614ec3b71eb96e29952ec3f09e7b9c3c">More...</a><br/></td></tr>
<tr class="separator:ga614ec3b71eb96e29952ec3f09e7b9c3c"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="mdescLeft"> </td><td class="mdescRight">Q7 depthwise separable convolution function. <a href="group__NNConv.html#gad3d21b3bc6dbd6f3b97d01104349cb0a">More...</a><br/></td></tr>
<tr class="separator:gad3d21b3bc6dbd6f3b97d01104349cb0a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga32ac508c5467813a84f74f96655dc697"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga32ac508c5467813a84f74f96655dc697"><td class="mdescLeft"> </td><td class="mdescRight">Q7 depthwise separable convolution function (non-square shape) <a href="group__NNConv.html#ga32ac508c5467813a84f74f96655dc697">More...</a><br/></td></tr>
<tr class="separator:ga32ac508c5467813a84f74f96655dc697"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">arm_fully_connected_q7</a> (const q7_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="mdescLeft"> </td><td class="mdescRight">Q7 basic fully-connected layer function. <a href="group__FC.html#ga8b7e0c2e989e8c75f0dc789f3115323d">More...</a><br/></td></tr>
<tr class="separator:ga8b7e0c2e989e8c75f0dc789f3115323d"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">arm_fully_connected_q7_opt</a> (const q7_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="mdescLeft"> </td><td class="mdescRight">Q7 opt fully-connected layer function. <a href="group__FC.html#gaf82b71ef472a38f8fc9ac414d9d07e67">More...</a><br/></td></tr>
<tr class="separator:gaf82b71ef472a38f8fc9ac414d9d07e67"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gaac666c212b209e636c2369dd5c75d0dc"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">arm_fully_connected_q15</a> (const q15_t *pV, const q15_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q15_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:gaac666c212b209e636c2369dd5c75d0dc"><td class="mdescLeft"> </td><td class="mdescRight">Q15 basic fully-connected layer function. <a href="group__FC.html#gaac666c212b209e636c2369dd5c75d0dc">More...</a><br/></td></tr>
<tr class="separator:gaac666c212b209e636c2369dd5c75d0dc"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga062912078da113f5dd2004fd919a0ff2"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">arm_fully_connected_q15_opt</a> (const q15_t *pV, const q15_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q15_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:ga062912078da113f5dd2004fd919a0ff2"><td class="mdescLeft"> </td><td class="mdescRight">Q15 opt fully-connected layer function. <a href="group__FC.html#ga062912078da113f5dd2004fd919a0ff2">More...</a><br/></td></tr>
<tr class="separator:ga062912078da113f5dd2004fd919a0ff2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga4a1521e7532a1e62d71f3b12762016e2"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">arm_fully_connected_mat_q7_vec_q15</a> (const q15_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:ga4a1521e7532a1e62d71f3b12762016e2"><td class="mdescLeft"> </td><td class="mdescRight">Mixed Q15-Q7 fully-connected layer function. <a href="group__FC.html#ga4a1521e7532a1e62d71f3b12762016e2">More...</a><br/></td></tr>
<tr class="separator:ga4a1521e7532a1e62d71f3b12762016e2"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gae3857bb6375692e81dde8cbd70adec08"><td class="memItemLeft" align="right" valign="top">arm_status </td><td class="memItemRight" valign="bottom"><a class="el" href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">arm_fully_connected_mat_q7_vec_q15_opt</a> (const q15_t *pV, const q7_t *pM, const uint16_t dim_vec, const uint16_t num_of_rows, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q15_t *pOut, q15_t *vec_buffer)</td></tr>
<tr class="memdesc:gae3857bb6375692e81dde8cbd70adec08"><td class="mdescLeft"> </td><td class="mdescRight">Mixed Q15-Q7 opt fully-connected layer function. <a href="group__FC.html#gae3857bb6375692e81dde8cbd70adec08">More...</a><br/></td></tr>
<tr class="separator:gae3857bb6375692e81dde8cbd70adec08"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:abc4fb258cfe8500ee68e812a293a80a3"><td class="memItemLeft" align="right" valign="top">q7_t * </td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#abc4fb258cfe8500ee68e812a293a80a3">arm_nn_mat_mult_kernel_q7_q15</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
<tr class="memdesc:abc4fb258cfe8500ee68e812a293a80a3"><td class="mdescLeft"> </td><td class="mdescRight">Matrix-Multiplication Kernels for Convolution. <a href="#abc4fb258cfe8500ee68e812a293a80a3">More...</a><br/></td></tr>
<tr class="separator:abc4fb258cfe8500ee68e812a293a80a3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memItemLeft" align="right" valign="top">q7_t * </td><td class="memItemRight" valign="bottom"><a class="el" href="arm__nnfunctions_8h.html#aefe9c7ce9a65060a244b06dffe74c4b3">arm_nn_mat_mult_kernel_q7_q15_reordered</a> (const q7_t *pA, const q15_t *pInBuffer, const uint16_t ch_im_out, const uint16_t numCol_A, const uint16_t bias_shift, const uint16_t out_shift, const q7_t *bias, q7_t *pOut)</td></tr>
<tr class="memdesc:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="mdescLeft"> </td><td class="mdescRight">Matrix-multiplication function for convolution with reordered columns. <a href="#aefe9c7ce9a65060a244b06dffe74c4b3">More...</a><br/></td></tr>
<tr class="separator:aefe9c7ce9a65060a244b06dffe74c4b3"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga638e803b4fe00426f401783a6255ca30"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">arm_relu_q7</a> (q7_t *data, uint16_t size)</td></tr>
<tr class="memdesc:ga638e803b4fe00426f401783a6255ca30"><td class="mdescLeft"> </td><td class="mdescRight">Q7 RELU function. <a href="group__Acti.html#ga638e803b4fe00426f401783a6255ca30">More...</a><br/></td></tr>
<tr class="separator:ga638e803b4fe00426f401783a6255ca30"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">arm_relu_q15</a> (q15_t *data, uint16_t size)</td></tr>
<tr class="memdesc:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="mdescLeft"> </td><td class="mdescRight">Q15 RELU function. <a href="group__Acti.html#ga53bcc00e54b802919bb3c89c143ee5ba">More...</a><br/></td></tr>
<tr class="separator:ga53bcc00e54b802919bb3c89c143ee5ba"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">arm_nn_activations_direct_q7</a> (q7_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
<tr class="memdesc:ga79f11131ae6767d60e03b1f6506b1af8"><td class="mdescLeft"> </td><td class="mdescRight">Q7 neural network activation function using direct table look-up. <a href="group__Acti.html#ga79f11131ae6767d60e03b1f6506b1af8">More...</a><br/></td></tr>
<tr class="separator:ga79f11131ae6767d60e03b1f6506b1af8"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">arm_nn_activations_direct_q15</a> (q15_t *data, uint16_t size, uint16_t int_width, <a class="el" href="arm__nnsupportfunctions_8h.html#a7f41aa78cd9a0552fae9b348ee4831a0">arm_nn_activation_type</a> type)</td></tr>
<tr class="memdesc:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="mdescLeft"> </td><td class="mdescRight">Q15 neural network activation function using direct table look-up. <a href="group__Acti.html#ga8932b57c8d0ee757511af2d40dcc11e7">More...</a><br/></td></tr>
<tr class="separator:ga8932b57c8d0ee757511af2d40dcc11e7"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">arm_maxpool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
<tr class="memdesc:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="mdescLeft"> </td><td class="mdescRight">Q7 max pooling function. <a href="group__Pooling.html#ga99afcdcc61eaf429ab3ee823702e44ce">More...</a><br/></td></tr>
<tr class="separator:ga99afcdcc61eaf429ab3ee823702e44ce"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">arm_avepool_q7_HWC</a> (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)</td></tr>
<tr class="memdesc:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="mdescLeft"> </td><td class="mdescRight">Q7 average pooling function. <a href="group__Pooling.html#gae4a7b07f97ec4313524c9fb9fbcb1f6a">More...</a><br/></td></tr>
<tr class="separator:gae4a7b07f97ec4313524c9fb9fbcb1f6a"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">arm_softmax_q7</a> (const q7_t *vec_in, const uint16_t dim_vec, q7_t *p_out)</td></tr>
<tr class="memdesc:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="mdescLeft"> </td><td class="mdescRight">Q7 softmax function. <a href="group__Softmax.html#ga89aff212a97a3cf32d9d7ddf11a8f43e">More...</a><br/></td></tr>
<tr class="separator:ga89aff212a97a3cf32d9d7ddf11a8f43e"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga1cacd8b84b8363079311987d0016ebe5"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">arm_softmax_q15</a> (const q15_t *vec_in, const uint16_t dim_vec, q15_t *p_out)</td></tr>
<tr class="memdesc:ga1cacd8b84b8363079311987d0016ebe5"><td class="mdescLeft"> </td><td class="mdescRight">Q15 softmax function. <a href="group__Softmax.html#ga1cacd8b84b8363079311987d0016ebe5">More...</a><br/></td></tr>
<tr class="separator:ga1cacd8b84b8363079311987d0016ebe5"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="memItemLeft" align="right" valign="top">arm_status </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>
<tr class="memdesc:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="mdescLeft"> </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. <a href="group__NNConv.html#ga02a296cb4f6361a70c3ecf1ef1238292">More...</a><br/></td></tr>
<tr class="separator:ga02a296cb4f6361a70c3ecf1ef1238292"><td class="memSeparator" colspan="2"> </td></tr>
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<h2 class="groupheader">Macro Definition Documentation</h2>
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<td class="memname">#define USE_INTRINSIC</td>
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<h2 class="groupheader">Function Documentation</h2>
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<td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15 </td>
<td>(</td>
<td class="paramtype">const q7_t * </td>
<td class="paramname"><em>pA</em>, </td>
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<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">const q15_t * </td>
<td class="paramname"><em>pInBuffer</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>ch_im_out</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>numCol_A</em>, </td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>bias_shift</em>, </td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>out_shift</em>, </td>
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<td class="paramtype">const q7_t * </td>
<td class="paramname"><em>bias</em>, </td>
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<td class="paramtype">q7_t * </td>
<td class="paramname"><em>pOut</em> </td>
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<td>)</td>
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<p>These functions are used within convolution layer functions for matrix multiplication.</p>
<p>The implementation is similar to CMSIS-DSP arm_mat_mult functions with one Q7 and one Q15 operands. The Q15 operand is the im2col output which is always with 2 columns. Matrix-multiplication function for convolution </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
<p>Matrix-Multiplication Kernels for Convolution.</p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
<p>This function does the matrix multiplication with weight matrix and 2 columns from im2col. </p>
<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
<p>Referenced by <a class="el" href="group__NNConv.html#ga210ae8d8fc1d12ee15b41f1fa6947681">arm_convolve_HWC_q7_basic()</a>, <a class="el" href="group__NNConv.html#ga4501fa22c0836002aa47ccc313dce252">arm_convolve_HWC_q7_basic_nonsquare()</a>, and <a class="el" href="group__NNConv.html#ga98f2ead67d7cbdf558b0cd8a3b8fc148">arm_convolve_HWC_q7_RGB()</a>.</p>
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<td class="memname">q7_t* arm_nn_mat_mult_kernel_q7_q15_reordered </td>
<td>(</td>
<td class="paramtype">const q7_t * </td>
<td class="paramname"><em>pA</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const q15_t * </td>
<td class="paramname"><em>pInBuffer</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>ch_im_out</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>numCol_A</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>bias_shift</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">const uint16_t </td>
<td class="paramname"><em>out_shift</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const q7_t * </td>
<td class="paramname"><em>bias</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">q7_t * </td>
<td class="paramname"><em>pOut</em> </td>
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<td>)</td>
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<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
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</dd>
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<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">pA</td><td>pointer to operand A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">pInBuffer</td><td>pointer to operand B, always conssists of 2 vectors </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">ch_im_out</td><td>numRow of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">numCol_A</td><td>numCol of A </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias_shift</td><td>amount of left-shift for bias </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">out_shift</td><td>amount of right-shift for output </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">bias</td><td>the bias </td></tr>
<tr><td class="paramdir">[in,out]</td><td class="paramname">pOut</td><td>pointer to output </td></tr>
</table>
</dd>
</dl>
<dl class="section return"><dt>Returns</dt><dd>The function returns the incremented output pointer</dd></dl>
<p>This function assumes that data in pInBuffer are reordered </p>
<p>References <a class="el" href="arm__nnsupportfunctions_8h.html#a4cbd428a2b4a4f6b2a6e4219520c7ce0">NN_ROUND</a>.</p>
<p>Referenced by <a class="el" href="group__NNConv.html#ga110adcfdaab356c750c6270aa5e05f29">arm_convolve_1x1_HWC_q7_fast_nonsquare()</a>, <a class="el" href="group__NNConv.html#gae00d3c1285907d59657369fc98bcc83f">arm_convolve_HWC_q7_fast()</a>, and <a class="el" href="group__NNConv.html#gabc6d6b991024e9e5c5cdbd7489de88ef">arm_convolve_HWC_q7_fast_nonsquare()</a>.</p>
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