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| <div class="title">direct_convolution5x5.cl</div> </div> |
| </div><!--header--> |
| <div class="contents"> |
| <a href="direct__convolution5x5_8cl.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span> <span class="comment">/*</span></div> |
| <div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment"> * Copyright (c) 2016, 2017 ARM Limited.</span></div> |
| <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment"> * SPDX-License-Identifier: MIT</span></div> |
| <div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment"> * of this software and associated documentation files (the "Software"), to</span></div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment"> * deal in the Software without restriction, including without limitation the</span></div> |
| <div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div> |
| <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div> |
| <div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment"> * furnished to do so, subject to the following conditions:</span></div> |
| <div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div> |
| <div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment"> * copies or substantial portions of the Software.</span></div> |
| <div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment"> *</span></div> |
| <div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment"> * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div> |
| <div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="comment"> * SOFTWARE.</span></div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="comment"> */</span></div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include "<a class="code" href="helpers_8h.xhtml">helpers.h</a>"</span></div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span> </div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> <span class="preprocessor">#undef CONVERT_SAT</span></div> |
| <div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span> <span class="preprocessor">#if defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="preprocessor">#if STRIDE_X == 1</span></div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span> <span class="preprocessor"></span><span class="preprocessor">#define CONVOLUTION1x5(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x5_STRIDE1(acc, src_row_ptr, weights_row_ptr)</span></div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> <span class="preprocessor"></span><span class="preprocessor">#elif STRIDE_X == 2 </span><span class="comment">/* STRIDE_X == 1 */</span><span class="preprocessor"></span></div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span> <span class="preprocessor"></span><span class="preprocessor">#define CONVOLUTION1x5(acc, src_row_ptr, weights_row_ptr) CONVOLUTION1x5_STRIDE2(acc, src_row_ptr, weights_row_ptr)</span></div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span> <span class="preprocessor"></span><span class="preprocessor">#else </span><span class="comment">/* STRIDE_X not equals 1 or 2 */</span><span class="preprocessor"></span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> <span class="preprocessor"></span><span class="preprocessor">#error "STRIDE_X larger than 2 is not supported"</span></div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span> <span class="preprocessor"></span><span class="preprocessor">#endif </span><span class="comment">/* STRIDE_X == 2 */</span><span class="preprocessor"></span></div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> <span class="preprocessor">#define CONVOLUTION1x5_STRIDE1(acc, src_row_ptr, weights_row_ptr) \</span></div> |
| <div class="line"><a name="l00039"></a><span class="lineno"> 39</span> <span class="preprocessor"> ({ \</span></div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 4) \</span></div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span> <span class="preprocessor"> weights_values0 = vload4(0, weights_row_ptr); \</span></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="preprocessor"> DATA_TYPE weights_value1 = *(weights_row_ptr + 4); \</span></div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 8) \</span></div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> <span class="preprocessor"> src0 = vload8(0, src_row_ptr); \</span></div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 4) \</span></div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span> <span class="preprocessor"> src1 = vload4(0, src_row_ptr + 8); \</span></div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span> <span class="preprocessor"> \</span></div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span> <span class="preprocessor"> acc += src0 * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0; \</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1234, src0.s567, src1.s0) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1; \</span></div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s234, src0.s567, src1.s01) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2; \</span></div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s345, src0.s67, src1.s012) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s3; \</span></div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s45, src0.s67, src1.s0123) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_value1; \</span></div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor"> })</span></div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span> <span class="preprocessor">#define CONVOLUTION1x5_STRIDE2(acc, src_row_ptr, weights_row_ptr) \</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span> <span class="preprocessor"> ({ \</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 4) \</span></div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span> <span class="preprocessor"> weights_values0 = vload4(0, weights_row_ptr); \</span></div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span> <span class="preprocessor"> DATA_TYPE weights_value1 = *(weights_row_ptr + 4); \</span></div> |
| <div class="line"><a name="l00060"></a><span class="lineno"> 60</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 16) \</span></div> |
| <div class="line"><a name="l00061"></a><span class="lineno"> 61</span> <span class="preprocessor"> src0 = vload16(0, src_row_ptr); \</span></div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> <span class="preprocessor"> VEC_DATA_TYPE(DATA_TYPE, 4) \</span></div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> <span class="preprocessor"> src1 = vload4(0, src_row_ptr + 16); \</span></div> |
| <div class="line"><a name="l00064"></a><span class="lineno"> 64</span> <span class="preprocessor"> acc += src0.even * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s0; \</span></div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s1357, src0.s9BDF) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s1; \</span></div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s2468, src0.sACE, src1.s0) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s2; \</span></div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span> <span class="preprocessor"> \</span></div> |
| <div class="line"><a name="l00068"></a><span class="lineno"> 68</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s3579, src0.sBDF, src1.s1) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_values0.s3; \</span></div> |
| <div class="line"><a name="l00069"></a><span class="lineno"> 69</span> <span class="preprocessor"> acc += (VEC_DATA_TYPE(DATA_TYPE, 8))(src0.s468a, src0.sCE, src1.s02) * (VEC_DATA_TYPE(DATA_TYPE, 8))weights_value1; \</span></div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span> <span class="preprocessor"> })</span></div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00108"></a><span class="lineno"> 108</span> __kernel <span class="keywordtype">void</span> direct_convolution5x5(</div> |
| <div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div> |
| <div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div> |
| <div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div> |
| <div class="line"><a name="l00112"></a><span class="lineno"> 112</span> #ifdef HAS_BIAS</div> |
| <div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div> |
| <div class="line"><a name="l00114"></a><span class="lineno"> 114</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div> |
| <div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div> |
| <div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> weights = <a class="code" href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a>(weights);</div> |
| <div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div> |
| <div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div> |
| <div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)</div> |
| <div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  pixels0 = 0;</div> |
| <div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div> |
| <div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  __global uchar *weights_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a>(&weights, 0, 0, 0);</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div> |
| <div class="line"><a name="l00126"></a><span class="lineno"> 126</span> </div> |
| <div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  const <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  weights_addr += kernel_index * weights_stride_w;</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span> </div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  for(volatile <span class="keywordtype">int</span> d = 0; d < WEIGHTS_DEPTH; ++d)</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  {</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  CONVOLUTION1x5(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)src_addr, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)weights_addr);</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  CONVOLUTION1x5(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 1 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 1 * weights_stride_y));</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  CONVOLUTION1x5(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 2 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 2 * weights_stride_y));</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  CONVOLUTION1x5(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 3 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 3 * weights_stride_y));</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  CONVOLUTION1x5(pixels0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(src_addr + 4 * src_stride_y), (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(weights_addr + 4 * weights_stride_y));</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span> </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  src_addr += src_stride_z;</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  weights_addr += weights_stride_z;</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  }</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span> </div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span> <span class="preprocessor"></span> <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> </div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  pixels0 += (<a class="code" href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a>(<a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a>, 8)) * ((__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index)));</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  vstore8(pixels0, 0, (__global <a class="code" href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a> *)dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a>);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span> <span class="preprocessor">#endif // defined(DATA_TYPE) && defined(STRIDE_X) && defined(WEIGHTS_DEPTH)</span></div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span> <span class="preprocessor">#if defined(WEIGHTS_DEPTH)</span></div> |
| <div class="line"><a name="l00153"></a><span class="lineno"> 153</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00154"></a><span class="lineno"> 154</span> <span class="preprocessor">#define CONVOLUTION1x5_BIFROST(acc, src0, weights_row00, weights_row01) \</span></div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span> <span class="preprocessor"> ({ \</span></div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span> <span class="preprocessor"> acc.s0 = mad(src0.s0, weights_row00.s0, acc.s0); \</span></div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span> <span class="preprocessor"> acc.s1 = mad(src0.s1, weights_row00.s0, acc.s1); \</span></div> |
| <div class="line"><a name="l00158"></a><span class="lineno"> 158</span> <span class="preprocessor"> acc.s2 = mad(src0.s2, weights_row00.s0, acc.s2); \</span></div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span> <span class="preprocessor"> acc.s3 = mad(src0.s3, weights_row00.s0, acc.s3); \</span></div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span> <span class="preprocessor"> acc.s0 = mad(src0.s1, weights_row00.s1, acc.s0); \</span></div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span> <span class="preprocessor"> acc.s1 = mad(src0.s2, weights_row00.s1, acc.s1); \</span></div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> <span class="preprocessor"> acc.s2 = mad(src0.s3, weights_row00.s1, acc.s2); \</span></div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span> <span class="preprocessor"> acc.s3 = mad(src0.s4, weights_row00.s1, acc.s3); \</span></div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span> <span class="preprocessor"> acc.s0 = mad(src0.s2, weights_row00.s2, acc.s0); \</span></div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span> <span class="preprocessor"> acc.s1 = mad(src0.s3, weights_row00.s2, acc.s1); \</span></div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span> <span class="preprocessor"> acc.s2 = mad(src0.s4, weights_row00.s2, acc.s2); \</span></div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span> <span class="preprocessor"> acc.s3 = mad(src0.s5, weights_row00.s2, acc.s3); \</span></div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span> <span class="preprocessor"> acc.s0 = mad(src0.s3, weights_row00.s3, acc.s0); \</span></div> |
| <div class="line"><a name="l00169"></a><span class="lineno"> 169</span> <span class="preprocessor"> acc.s1 = mad(src0.s4, weights_row00.s3, acc.s1); \</span></div> |
| <div class="line"><a name="l00170"></a><span class="lineno"> 170</span> <span class="preprocessor"> acc.s2 = mad(src0.s5, weights_row00.s3, acc.s2); \</span></div> |
| <div class="line"><a name="l00171"></a><span class="lineno"> 171</span> <span class="preprocessor"> acc.s3 = mad(src0.s6, weights_row00.s3, acc.s3); \</span></div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span> <span class="preprocessor"> acc.s0 = mad(src0.s4, weights_row01, acc.s0); \</span></div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span> <span class="preprocessor"> acc.s1 = mad(src0.s5, weights_row01, acc.s1); \</span></div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span> <span class="preprocessor"> acc.s2 = mad(src0.s6, weights_row01, acc.s2); \</span></div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span> <span class="preprocessor"> acc.s3 = mad(src0.s7, weights_row01, acc.s3); \</span></div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span> <span class="preprocessor"> })</span></div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span> __kernel <span class="keywordtype">void</span> direct_convolution5x5_f32_bifrost(</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(src),</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(dst),</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  <a class="code" href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a>(weights),</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span> #ifdef HAS_BIAS</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <a class="code" href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a>(biases),</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span> #endif <span class="comment">/* defined(HAS_BIAS) */</span></div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> weights_stride_w)</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span> {</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="comment">// Get the kernel index</span></div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">const</span> <span class="keywordtype">int</span> kernel_index = get_global_id(2);</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  <a class="code" href="struct_image.xhtml">Image</a> src = <a class="code" href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a>(src);</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <a class="code" href="struct_tensor3_d.xhtml">Tensor3D</a> dst = <a class="code" href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a>(dst);</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span> </div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  float4 pixels0 = 0.0f;</div> |
| <div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  float4 pixels1 = 0.0f;</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span> </div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  __global uchar *weights_addr = (__global uchar *)(weights_ptr + weights_offset_first_element_in_bytes + kernel_index * weights_stride_w);</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  __global uchar *src_addr = (__global uchar *)<a class="code" href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a>(&src, 0, 0);</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div> |
| <div class="line"><a name="l00235"></a><span class="lineno"> 235</span>  <span class="comment">// Note: Since each work-item computes 4x2 elements, we need to load 6 rows from the input tensor</span></div> |
| <div class="line"><a name="l00236"></a><span class="lineno"> 236</span> </div> |
| <div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  <span class="keywordflow">for</span>(ushort d = 0; d < (ushort)WEIGHTS_DEPTH; ++d)</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  {</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  <span class="comment">// Load the weights from row0 and row1</span></div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  float4 weights_row00 = vload4(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y));</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keywordtype">float</span> weights_row01 = *((__global <span class="keywordtype">float</span> *)(weights_addr + 0 * weights_stride_y) + 4);</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  float4 weights_row10 = vload4(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y));</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  <span class="keywordtype">float</span> weights_row11 = *((__global <span class="keywordtype">float</span> *)(weights_addr + 1 * weights_stride_y) + 4);</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  float8 src0;</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="comment">// Load values from row0 of input tensor</span></div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 0 * src_stride_y));</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span> </div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="comment">// Accumulate</span></div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  CONVOLUTION1x5_BIFROST(pixels0, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span> </div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  <span class="comment">// Load values from row1 of input tensor</span></div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 1 * src_stride_y));</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="comment">// Accumulate</span></div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  CONVOLUTION1x5_BIFROST(pixels0, src0, weights_row10, weights_row11);</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  CONVOLUTION1x5_BIFROST(pixels1, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span> </div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  <span class="comment">// Load values from row2 of input tensor</span></div> |
| <div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 2 * src_stride_y));</div> |
| <div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div> |
| <div class="line"><a name="l00262"></a><span class="lineno"> 262</span>  <span class="comment">// Load weights from row2</span></div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  weights_row00 = vload4(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y));</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  weights_row01 = *((__global <span class="keywordtype">float</span> *)(weights_addr + 2 * weights_stride_y) + 4);</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span> </div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="comment">// Accumulate</span></div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  CONVOLUTION1x5_BIFROST(pixels0, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  CONVOLUTION1x5_BIFROST(pixels1, src0, weights_row10, weights_row11);</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span> </div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  <span class="comment">// Load values from row3 of input tensor</span></div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 3 * src_stride_y));</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span> </div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="comment">// Load weights from row3</span></div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  weights_row10 = vload4(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 3 * weights_stride_y));</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  weights_row11 = *((__global <span class="keywordtype">float</span> *)(weights_addr + 3 * weights_stride_y) + 4);</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span> </div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="comment">// Accumulate</span></div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span>  CONVOLUTION1x5_BIFROST(pixels0, src0, weights_row10, weights_row11);</div> |
| <div class="line"><a name="l00279"></a><span class="lineno"> 279</span>  CONVOLUTION1x5_BIFROST(pixels1, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00280"></a><span class="lineno"> 280</span> </div> |
| <div class="line"><a name="l00281"></a><span class="lineno"> 281</span>  <span class="comment">// Load values from row4 of input tensor</span></div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 4 * src_stride_y));</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span> </div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="comment">// Load weights from row4</span></div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  weights_row00 = vload4(0, (__global <span class="keywordtype">float</span> *)(weights_addr + 4 * weights_stride_y));</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  weights_row01 = *((__global <span class="keywordtype">float</span> *)(weights_addr + 4 * weights_stride_y) + 4);</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  CONVOLUTION1x5_BIFROST(pixels0, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  CONVOLUTION1x5_BIFROST(pixels1, src0, weights_row10, weights_row11);</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span> </div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  <span class="comment">// Load values from row5 of input tensor</span></div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  src0 = vload8(0, (__global <span class="keywordtype">float</span> *)(src_addr + 5 * src_stride_y));</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> </div> |
| <div class="line"><a name="l00294"></a><span class="lineno"> 294</span>  <span class="comment">// Accumulate</span></div> |
| <div class="line"><a name="l00295"></a><span class="lineno"> 295</span>  CONVOLUTION1x5_BIFROST(pixels1, src0, weights_row00, weights_row01);</div> |
| <div class="line"><a name="l00296"></a><span class="lineno"> 296</span> </div> |
| <div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  src_addr += src_stride_z;</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  weights_addr += weights_stride_z;</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  }</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span> </div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span> <span class="preprocessor">#ifdef HAS_BIAS</span></div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span> <span class="preprocessor"></span> <a class="code" href="struct_vector.xhtml">Vector</a> biases = <a class="code" href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a>(biases);</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span> </div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span>  float4 bias = (float4) * ((__global <span class="keywordtype">float</span> *)(<a class="code" href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a>(&biases, kernel_index)));</div> |
| <div class="line"><a name="l00305"></a><span class="lineno"> 305</span> </div> |
| <div class="line"><a name="l00306"></a><span class="lineno"> 306</span>  pixels0 += bias;</div> |
| <div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  pixels1 += bias;</div> |
| <div class="line"><a name="l00308"></a><span class="lineno"> 308</span> <span class="preprocessor">#endif </span><span class="comment">/* defined(HAS_BIAS) */</span><span class="preprocessor"></span></div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span> <span class="preprocessor"></span></div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  vstore4(pixels0, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 0 * dst_stride_y));</div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  vstore4(pixels1, 0, (__global <span class="keywordtype">float</span> *)(dst.<a class="code" href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">ptr</a> + 1 * dst_stride_y));</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span> }</div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span> <span class="preprocessor">#endif // defined(WEIGHTS_DEPTH)</span></div> |
| <div class="ttc" id="struct_vector_xhtml"><div class="ttname"><a href="struct_vector.xhtml">Vector</a></div><div class="ttdoc">Structure to hold Vector information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00126">helpers.h:126</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a31c8c760f08fb1a331b16b7c204321dc"><div class="ttname"><a href="helpers_8h.xhtml#a31c8c760f08fb1a331b16b7c204321dc">CONVERT_TO_TENSOR3D_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00111">helpers.h:111</a></div></div> |
| <div class="ttc" id="convolution3x3_8cl_xhtml_afb8c72ce35c4a1f4a2588d6573e54aa1"><div class="ttname"><a href="convolution3x3_8cl.xhtml#afb8c72ce35c4a1f4a2588d6573e54aa1">DATA_TYPE</a></div><div class="ttdeci">#define DATA_TYPE</div><div class="ttdef"><b>Definition:</b> <a href="convolution3x3_8cl_source.xhtml#l00027">convolution3x3.cl:27</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml"><div class="ttname"><a href="struct_tensor3_d.xhtml">Tensor3D</a></div><div class="ttdoc">Structure to hold 3D tensor information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00143">helpers.h:143</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a009469e4d9b8fce3b6d5e97d2077827d"><div class="ttname"><a href="helpers_8h.xhtml#a009469e4d9b8fce3b6d5e97d2077827d">offset</a></div><div class="ttdeci">__global uchar * offset(const Image *img, int x, int y)</div><div class="ttdoc">Get the pointer position of a Image. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00295">helpers.h:295</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml"><div class="ttname"><a href="helpers_8h.xhtml">helpers.h</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_aebe814363556c244be043b13e7969197"><div class="ttname"><a href="helpers_8h.xhtml#aebe814363556c244be043b13e7969197">CONVERT_TO_IMAGE_STRUCT</a></div><div class="ttdeci">#define CONVERT_TO_IMAGE_STRUCT(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00096">helpers.h:96</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a2101b2fe0193ce227ae4e0945e321d85"><div class="ttname"><a href="helpers_8h.xhtml#a2101b2fe0193ce227ae4e0945e321d85">tensor3D_offset</a></div><div class="ttdeci">__global const uchar * tensor3D_offset(const Tensor3D *tensor, int x, int y, int z)</div><div class="ttdoc">Get the pointer position of a Tensor3D. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00307">helpers.h:307</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a40a6eb9f2a7712f08d6bb8ff6c9e6ca7"><div class="ttname"><a href="helpers_8h.xhtml#a40a6eb9f2a7712f08d6bb8ff6c9e6ca7">VECTOR_DECLARATION</a></div><div class="ttdeci">#define VECTOR_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00054">helpers.h:54</a></div></div> |
| <div class="ttc" id="struct_image_xhtml"><div class="ttname"><a href="struct_image.xhtml">Image</a></div><div class="ttdoc">Structure to hold Image information. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00134">helpers.h:134</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a6b83038822d1ae7ab619b684ed3b7fc0"><div class="ttname"><a href="helpers_8h.xhtml#a6b83038822d1ae7ab619b684ed3b7fc0">TENSOR3D_DECLARATION</a></div><div class="ttdeci">#define TENSOR3D_DECLARATION(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00068">helpers.h:68</a></div></div> |
| <div class="ttc" id="fixed__point_8h_xhtml_a36f754c05b6fddf6df0d8d0a74f8159f"><div class="ttname"><a href="fixed__point_8h.xhtml#a36f754c05b6fddf6df0d8d0a74f8159f">VEC_DATA_TYPE</a></div><div class="ttdeci">#define VEC_DATA_TYPE(type, size)</div><div class="ttdef"><b>Definition:</b> <a href="fixed__point_8h_source.xhtml#l00093">fixed_point.h:93</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a79e8e562daa6599317d2d1cd86ef1bf2"><div class="ttname"><a href="helpers_8h.xhtml#a79e8e562daa6599317d2d1cd86ef1bf2">CONVERT_TO_TENSOR3D_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00115">helpers.h:115</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a64d779f80eeb923e0ab2313433f7b40b"><div class="ttname"><a href="helpers_8h.xhtml#a64d779f80eeb923e0ab2313433f7b40b">CONVERT_TO_VECTOR_STRUCT_NO_STEP</a></div><div class="ttdeci">#define CONVERT_TO_VECTOR_STRUCT_NO_STEP(name)</div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00093">helpers.h:93</a></div></div> |
| <div class="ttc" id="helpers_8h_xhtml_a7e4940407322d6f0ccb8b6b86b856019"><div class="ttname"><a href="helpers_8h.xhtml#a7e4940407322d6f0ccb8b6b86b856019">vector_offset</a></div><div class="ttdeci">__global const uchar * vector_offset(const Vector *vec, int x)</div><div class="ttdoc">Get the pointer position of a Vector. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00284">helpers.h:284</a></div></div> |
| <div class="ttc" id="struct_tensor3_d_xhtml_acf52c23cbd7424606c10a606524e3e32"><div class="ttname"><a href="struct_tensor3_d.xhtml#acf52c23cbd7424606c10a606524e3e32">Tensor3D::ptr</a></div><div class="ttdeci">__global uchar * ptr</div><div class="ttdoc">Pointer to the starting postion of the buffer. </div><div class="ttdef"><b>Definition:</b> <a href="helpers_8h_source.xhtml#l00145">helpers.h:145</a></div></div> |
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