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70 <a href="xran__compression_8cpp.html">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">*</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">* Copyright (c) 2019 Intel.</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">*</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span> <span class="comment">* Licensed under the Apache License, Version 2.0 (the "License");</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="comment">* you may not use this file except in compliance with the License.</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span> <span class="comment">* You may obtain a copy of the License at</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="comment">*</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span> <span class="comment">* http://www.apache.org/licenses/LICENSE-2.0</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="comment">*</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span> <span class="comment">* Unless required by applicable law or agreed to in writing, software</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="comment">* distributed under the License is distributed on an "AS IS" BASIS,</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span> <span class="comment">* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <span class="comment">* See the License for the specific language governing permissions and</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="comment">* limitations under the License.</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="comment">*</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="comment">*******************************************************************************/</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> </div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> <span class="preprocessor">#include "<a class="code" href="xran__compression_8hpp.html">xran_compression.hpp</a>"</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="preprocessor">#include "<a class="code" href="xran__compression_8h.html">xran_compression.h</a>"</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> <span class="preprocessor">#include <complex></span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> <span class="preprocessor">#include <algorithm></span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> <span class="preprocessor">#include <immintrin.h></span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> <span class="preprocessor">#include <limits.h></span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> <span class="preprocessor">#include <cstring></span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span> <span class="keyword">static</span> int16_t saturateAbs(int16_t inVal)</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span> {</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  int16_t result;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">if</span> (inVal == std::numeric_limits<short>::min())</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  result = std::numeric_limits<short>::max();</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  }</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  result = (int16_t)std::abs(inVal);</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  }</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">return</span> result;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span> }</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> </div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4"> 44</a></span> <a class="code" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a>& dataIn, int8_t* expStore)</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> {</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  __m512i maxAbs = __m512i();</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span> </div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keyword">const</span> __m512i* rawData = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  constexpr <span class="keywordtype">int</span> k_numRBPerLoop = 4;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  constexpr <span class="keywordtype">int</span> k_numInputLoopIts = BlockFloatCompander::k_numRB / k_numRBPerLoop;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> </div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span> <span class="preprocessor">#pragma unroll(k_numInputLoopIts)</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < k_numInputLoopIts; ++n)</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  {</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  constexpr uint8_t k_msk1 = 0b11111100; <span class="comment">// Copy first lane of src</span></div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  constexpr <span class="keywordtype">int</span> k_shuff1 = 0x41;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> <span class="keyword">auto</span> z_w1 = _mm512_mask_shuffle_i64x2(rawData[3 * n + 0], k_msk1, rawData[3 * n + 1], rawData[3 * n + 2], k_shuff1);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  constexpr uint8_t k_msk2 = 0b11000011; <span class="comment">// Copy middle two lanes of src</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  constexpr <span class="keywordtype">int</span> k_shuff2 = 0xB1;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <span class="keyword">auto</span> z_w2 = _mm512_mask_shuffle_i64x2(rawData[3 * n + 1], k_msk2, rawData[3 * n + 0], rawData[3 * n + 2], k_shuff2);</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  constexpr uint8_t k_msk3 = 0b00111111; <span class="comment">// Copy last lane of src</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  constexpr <span class="keywordtype">int</span> k_shuff3 = 0xBE;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keyword">const</span> <span class="keyword">auto</span> z_w3 = _mm512_mask_shuffle_i64x2(rawData[3 * n + 2], k_msk3, rawData[3 * n + 0], rawData[3 * n + 1], k_shuff3);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keyword">const</span> <span class="keyword">auto</span> abs16_1 = _mm512_abs_epi16(z_w1);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keyword">const</span> <span class="keyword">auto</span> abs16_2 = _mm512_abs_epi16(z_w2);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keyword">const</span> <span class="keyword">auto</span> abs16_3 = _mm512_abs_epi16(z_w3);</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <span class="keyword">const</span> <span class="keyword">auto</span> maxAbs_12 = _mm512_max_epi16(abs16_1, abs16_2);</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keyword">const</span> <span class="keyword">auto</span> maxAbs_123 = _mm512_max_epi16(maxAbs_12, abs16_3);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> </div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_perm64b = _mm512_set_epi64(6, 7, 4, 5, 2, 3, 0, 1);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keyword">auto</span> maxAbsPerm = _mm512_permutexvar_epi64(k_perm64b, maxAbs_123);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keyword">auto</span> maxAbsHorz = _mm512_max_epi16(maxAbs_123, maxAbsPerm);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_perm32b = _mm512_set_epi32(14, 15, 12, 13, 10, 11, 8, 9, 6, 7, 4, 5, 2, 3, 0, 1);</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  maxAbsPerm = _mm512_permutexvar_epi32(k_perm32b, maxAbsHorz);</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  maxAbsHorz = _mm512_max_epi16(maxAbsHorz, maxAbsPerm);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> </div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  maxAbsPerm = _mm512_rol_epi32(maxAbsHorz, BlockFloatCompander::k_numBitsIQ);</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  maxAbsHorz = _mm512_max_epi16(maxAbsHorz, maxAbsPerm);</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_select4RB = _mm512_set_epi32(28, 24, 20, 16, 28, 24, 20, 16,</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  28, 24, 20, 16, 28, 24, 20, 16);</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  constexpr uint16_t k_expMsk[k_numInputLoopIts] = { 0x000F, 0x00F0, 0x0F00, 0xF000 };</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  maxAbs = _mm512_mask_permutex2var_epi32(maxAbs, k_expMsk[n], k_select4RB, maxAbsHorz);</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  }</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_upperWordMask = _mm512_set_epi64(0x0000FFFF0000FFFF, 0x0000FFFF0000FFFF,</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  0x0000FFFF0000FFFF, 0x0000FFFF0000FFFF,</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  0x0000FFFF0000FFFF, 0x0000FFFF0000FFFF,</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  0x0000FFFF0000FFFF, 0x0000FFFF0000FFFF);</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  maxAbs = _mm512_and_epi64(maxAbs, k_upperWordMask);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> </div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  <span class="keyword">const</span> <span class="keyword">auto</span> totShiftBits = _mm512_set1_epi32(32 - dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> + 1);</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keyword">const</span> <span class="keyword">auto</span> lzCount = _mm512_lzcnt_epi32(maxAbs);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keyword">const</span> <span class="keyword">auto</span> exponent = _mm512_sub_epi32(totShiftBits, lzCount);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  constexpr uint16_t k_expWriteMask = 0xFFFF;</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  _mm512_mask_cvtepi32_storeu_epi8(expStore, k_expWriteMask, exponent);</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> }</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> </div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span> __m512i</div><div class="line"><a name="l00127"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#acb87fe08d3492b251e7a2561488064fa"> 127</a></span> <a class="code" href="xran__compression_8cpp.html#acb87fe08d3492b251e7a2561488064fa">networkBytePack9b</a>(<span class="keyword">const</span> __m512i compData)</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keyword">const</span> __m512i k_shiftLeft = _mm512_set_epi64(0x0000000100020003, 0x0004000500060007,</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  0x0000000100020003, 0x0004000500060007,</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  0x0000000100020003, 0x0004000500060007,</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  0x0000000100020003, 0x0004000500060007);</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keyword">auto</span> compDataPacked = _mm512_sllv_epi16(compData, k_shiftLeft);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> </div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask1 = _mm512_set_epi64(0x0000000000000000, 0x0C0D080904050001,</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  0x0000000000000000, 0x0C0D080904050001,</div><div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  0x0000000000000000, 0x0C0D080904050001,</div><div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  0x0000000000000000, 0x0C0D080904050001);</div><div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  constexpr uint64_t k_byteMask1 = 0x000000FF00FF00FF;</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keyword">auto</span> compDataShuff1 = _mm512_maskz_shuffle_epi8(k_byteMask1, compDataPacked, k_byteShuffleMask1);</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> </div><div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask2 = _mm512_set_epi64(0x000000000000000E, 0x0F0A0B0607020300,</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  0x000000000000000E, 0x0F0A0B0607020300,</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  0x000000000000000E, 0x0F0A0B0607020300,</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  0x000000000000000E, 0x0F0A0B0607020300);</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  constexpr uint64_t k_byteMask2 = 0x000001FE01FE01FE;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keyword">auto</span> compDataShuff2 = _mm512_maskz_shuffle_epi8(k_byteMask2, compDataPacked, k_byteShuffleMask2);</div><div class="line"><a name="l00151"></a><span class="lineno"> 151</span> </div><div class="line"><a name="l00153"></a><span class="lineno"> 153</span>  <span class="keyword">const</span> __m512i k_ternLogSelect = _mm512_set_epi64(0x00000000000000FF, 0x01FC07F01FC07F00,</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  0x00000000000000FF, 0x01FC07F01FC07F00,</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  0x00000000000000FF, 0x01FC07F01FC07F00,</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  0x00000000000000FF, 0x01FC07F01FC07F00);</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  <span class="keywordflow">return</span> _mm512_ternarylogic_epi64(compDataShuff1, compDataShuff2, k_ternLogSelect, 0xd8);</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span> }</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span> </div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span> </div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> __m512i</div><div class="line"><a name="l00164"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a4a2767bece9b74bb6348b416af70a3de"> 164</a></span> <a class="code" href="xran__compression_8cpp.html#a4a2767bece9b74bb6348b416af70a3de">networkBytePack10b</a>(<span class="keyword">const</span> __m512i compData)</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> {</div><div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keyword">const</span> __m512i k_shiftLeft = _mm512_set_epi64(0x0000000200040006, 0x0000000200040006,</div><div class="line"><a name="l00168"></a><span class="lineno"> 168</span>  0x0000000200040006, 0x0000000200040006,</div><div class="line"><a name="l00169"></a><span class="lineno"> 169</span>  0x0000000200040006, 0x0000000200040006,</div><div class="line"><a name="l00170"></a><span class="lineno"> 170</span>  0x0000000200040006, 0x0000000200040006);</div><div class="line"><a name="l00171"></a><span class="lineno"> 171</span>  <span class="keyword">auto</span> compDataPacked = _mm512_sllv_epi16(compData, k_shiftLeft);</div><div class="line"><a name="l00172"></a><span class="lineno"> 172</span> </div><div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask1 = _mm512_set_epi64(0x000000000000000C, 0x0D08090004050001,</div><div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  0x000000000000000C, 0x0D08090004050001,</div><div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  0x000000000000000C, 0x0D08090004050001,</div><div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  0x000000000000000C, 0x0D08090004050001);</div><div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  constexpr uint64_t k_byteMask1 = 0x000001EF01EF01EF;</div><div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  <span class="keyword">auto</span> compDataShuff1 = _mm512_maskz_shuffle_epi8(k_byteMask1, compDataPacked, k_byteShuffleMask1);</div><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> </div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask2 = _mm512_set_epi64(0x0000000000000E0F, 0x0A0B000607020300,</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  0x0000000000000E0F, 0x0A0B000607020300,</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  0x0000000000000E0F, 0x0A0B000607020300,</div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  0x0000000000000E0F, 0x0A0B000607020300);</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  constexpr uint64_t k_byteMask2 = 0x000003DE03DE03DE;</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  <span class="keyword">auto</span> compDataShuff2 = _mm512_maskz_shuffle_epi8(k_byteMask2, compDataPacked, k_byteShuffleMask2);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <span class="keyword">const</span> __m512i k_ternLogSelect = _mm512_set_epi64(0x000000000000FF03, 0xF03F00FF03F03F00,</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  0x000000000000FF03, 0xF03F00FF03F03F00,</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  0x000000000000FF03, 0xF03F00FF03F03F00,</div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  0x000000000000FF03, 0xF03F00FF03F03F00);</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <span class="keywordflow">return</span> _mm512_ternarylogic_epi64(compDataShuff1, compDataShuff2, k_ternLogSelect, 0xd8);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span> }</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span> </div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> __m512i</div><div class="line"><a name="l00201"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#aafe7eae735c4ebf8f028e7baa6783c22"> 201</a></span> <a class="code" href="xran__compression_8cpp.html#aafe7eae735c4ebf8f028e7baa6783c22">networkBytePack12b</a>(<span class="keyword">const</span> __m512i compData)</div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span> {</div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  <span class="keyword">const</span> __m512i k_shiftLeft = _mm512_set_epi64(0x0000000400000004, 0x0000000400000004,</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  0x0000000400000004, 0x0000000400000004,</div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  0x0000000400000004, 0x0000000400000004,</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  0x0000000400000004, 0x0000000400000004);</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span>  <span class="keyword">auto</span> compDataPacked = _mm512_sllv_epi16(compData, k_shiftLeft);</div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span> </div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask1 = _mm512_set_epi64(0x00000000000C0D00, 0x0809000405000001,</div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  0x00000000000C0D00, 0x0809000405000001,</div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  0x00000000000C0D00, 0x0809000405000001,</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  0x00000000000C0D00, 0x0809000405000001);</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  constexpr uint64_t k_byteMask1 = 0x000006DB06DB06DB;</div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="keyword">auto</span> compDataShuff1 = _mm512_maskz_shuffle_epi8(k_byteMask1, compDataPacked, k_byteShuffleMask1);</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask2 = _mm512_set_epi64(0x000000000E0F000A, 0x0B00060700020300,</div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  0x000000000E0F000A, 0x0B00060700020300,</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  0x000000000E0F000A, 0x0B00060700020300,</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  0x000000000E0F000A, 0x0B00060700020300);</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  constexpr uint64_t k_byteMask2 = 0x00000DB60DB60DB6;</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="keyword">auto</span> compDataShuff2 = _mm512_maskz_shuffle_epi8(k_byteMask2, compDataPacked, k_byteShuffleMask2);</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="keyword">const</span> __m512i k_ternLogSelect = _mm512_set_epi64(0x00000000FF0F00FF, 0x0F00FF0F00FF0F00,</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  0x00000000FF0F00FF, 0x0F00FF0F00FF0F00,</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  0x00000000FF0F00FF, 0x0F00FF0F00FF0F00,</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  0x00000000FF0F00FF, 0x0F00FF0F00FF0F00);</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  <span class="keywordflow">return</span> _mm512_ternarylogic_epi64(compDataShuff1, compDataShuff2, k_ternLogSelect, 0xd8);</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> }</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span> </div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span> </div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> __m512i</div><div class="line"><a name="l00238"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#afb29866152e84d42cd2e3bc116454493"> 238</a></span> <a class="code" href="xran__compression_8cpp.html#afb29866152e84d42cd2e3bc116454493">networkByteUnpack9b</a>(<span class="keyword">const</span> uint8_t* inData)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span> {</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(inData);</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_expPerm = _mm512_set_epi32(15, 14, 13, 12, 7, 6, 5, 4,</div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  5, 4, 3, 2, 3, 2, 1, 0);</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keyword">auto</span> expData = _mm512_permutexvar_epi32(k_expPerm, *rawDataIn);</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span> </div><div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask = _mm512_set_epi64(0x0F0E0D0C0B0A0908, 0x0706050403020100,</div><div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  0x090A080907080607, 0x0506040503040203,</div><div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  0x0809070806070506, 0x0405030402030102,</div><div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  0x0708060705060405, 0x0304020301020001);</div><div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  expData = _mm512_shuffle_epi8(expData, k_byteShuffleMask);</div><div class="line"><a name="l00254"></a><span class="lineno"> 254</span> </div><div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  <span class="keyword">const</span> __m512i k_slBits = _mm512_set_epi64(0x0007000600050004, 0x0003000200010000,</div><div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  0x0007000600050004, 0x0003000200010000,</div><div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  0x0007000600050004, 0x0003000200010000,</div><div class="line"><a name="l00259"></a><span class="lineno"> 259</span>  0x0007000600050004, 0x0003000200010000);</div><div class="line"><a name="l00260"></a><span class="lineno"> 260</span>  expData = _mm512_sllv_epi16(expData, k_slBits);</div><div class="line"><a name="l00261"></a><span class="lineno"> 261</span> </div><div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keyword">const</span> __m512i k_expMask = _mm512_set1_epi16(0xFF80);</div><div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">return</span> _mm512_and_epi64(expData, k_expMask);</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> </div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span> </div><div class="line"><a name="l00270"></a><span class="lineno"> 270</span> __m512i</div><div class="line"><a name="l00271"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a27043376e22397cc933d3c4d9450677b"> 271</a></span> <a class="code" href="xran__compression_8cpp.html#a27043376e22397cc933d3c4d9450677b">networkByteUnpack10b</a>(<span class="keyword">const</span> uint8_t* inData)</div><div class="line"><a name="l00272"></a><span class="lineno"> 272</span> {</div><div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(inData);</div><div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_expPerm = _mm512_set_epi32(15, 14, 13, 12, 8, 7, 6, 5,</div><div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  5, 4, 3, 2, 3, 2, 1, 0);</div><div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keyword">auto</span> expData = _mm512_permutexvar_epi32(k_expPerm, *rawDataIn);</div><div class="line"><a name="l00278"></a><span class="lineno"> 278</span> </div><div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask = _mm512_set_epi64(0x0809070806070506, 0x0304020301020001,</div><div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  0x0809070806070506, 0x0304020301020001,</div><div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  0x0A0B090A08090708, 0x0506040503040203,</div><div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  0x0809070806070506, 0x0304020301020001);</div><div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  expData = _mm512_shuffle_epi8(expData, k_byteShuffleMask);</div><div class="line"><a name="l00287"></a><span class="lineno"> 287</span> </div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  <span class="keyword">const</span> __m512i k_slBits = _mm512_set_epi64(0x0006000400020000, 0x0006000400020000,</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  0x0006000400020000, 0x0006000400020000,</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  0x0006000400020000, 0x0006000400020000,</div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  0x0006000400020000, 0x0006000400020000);</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>  expData = _mm512_sllv_epi16(expData, k_slBits);</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span> </div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>  <span class="keyword">const</span> __m512i k_expMask = _mm512_set1_epi16(0xFFC0);</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>  <span class="keywordflow">return</span> _mm512_and_epi64(expData, k_expMask);</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span> }</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="l00303"></a><span class="lineno"> 303</span> __m512i</div><div class="line"><a name="l00304"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a91aa9bdb6901711b43d848a4a5a94d2f"> 304</a></span> <a class="code" href="xran__compression_8cpp.html#a91aa9bdb6901711b43d848a4a5a94d2f">networkByteUnpack12b</a>(<span class="keyword">const</span> uint8_t* inData)</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span> {</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(inData);</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>  <span class="keyword">const</span> <span class="keyword">auto</span> k_expPerm = _mm512_set_epi32(15, 14, 13, 12, 9, 8, 7, 6,</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  6, 5, 4, 3, 3, 2, 1, 0);</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  <span class="keyword">auto</span> expData = _mm512_permutexvar_epi32(k_expPerm, *rawDataIn);</div><div class="line"><a name="l00311"></a><span class="lineno"> 311</span> </div><div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  <span class="keyword">const</span> __m512i k_byteShuffleMask = _mm512_set_epi64(0x0A0B090A07080607, 0x0405030401020001,</div><div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  0x0A0B090A07080607, 0x0405030401020001,</div><div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  0x0A0B090A07080607, 0x0405030401020001,</div><div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  0x0A0B090A07080607, 0x0405030401020001);</div><div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  expData = _mm512_shuffle_epi8(expData, k_byteShuffleMask);</div><div class="line"><a name="l00319"></a><span class="lineno"> 319</span> </div><div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keyword">const</span> __m512i k_slBits = _mm512_set_epi64(0x0004000000040000, 0x0004000000040000,</div><div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  0x0004000000040000, 0x0004000000040000,</div><div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  0x0004000000040000, 0x0004000000040000,</div><div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  0x0004000000040000, 0x0004000000040000);</div><div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  expData = _mm512_sllv_epi16(expData, k_slBits);</div><div class="line"><a name="l00326"></a><span class="lineno"> 326</span> </div><div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  <span class="keyword">const</span> __m512i k_expMask = _mm512_set1_epi16(0xFFF0);</div><div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  <span class="keywordflow">return</span> _mm512_and_epi64(expData, k_expMask);</div><div class="line"><a name="l00330"></a><span class="lineno"> 330</span> }</div><div class="line"><a name="l00331"></a><span class="lineno"> 331</span> </div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span> </div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00335"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a5b3ddd524752c8f556bc4c654e392321"> 335</a></span> <a class="code" href="namespace_block_float_compander.html#a5b3ddd524752c8f556bc4c654e392321">BlockFloatCompander::BlockFloatCompress_8b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>* dataOut)</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span> {</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  int8_t storedExp[BlockFloatCompander::k_numRB] = {};</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  <a class="code" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a>(dataIn, storedExp);</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span> </div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  {</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal);</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>  <span class="keyword">auto</span> compData = _mm512_srai_epi16(*rawDataIn, storedExp[n]);</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>  <span class="keyword">auto</span> thisRBExpAddr = n * (BlockFloatCompander::k_numREReal + 1);</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[thisRBExpAddr] = storedExp[n];</div><div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  constexpr uint32_t k_rbMask = 0x00FFFFFF; <span class="comment">// Write mask for 1RB (24 values)</span></div><div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  _mm256_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1, k_rbMask, _mm512_cvtepi16_epi8(compData));</div><div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  }</div><div class="line"><a name="l00354"></a><span class="lineno"> 354</span> }</div><div class="line"><a name="l00355"></a><span class="lineno"> 355</span> </div><div class="line"><a name="l00356"></a><span class="lineno"> 356</span> </div><div class="line"><a name="l00358"></a><span class="lineno"> 358</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00359"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a2356f186e264c7cea4e3c26d448bb1d5"> 359</a></span> <a class="code" href="namespace_block_float_compander.html#a2356f186e264c7cea4e3c26d448bb1d5">BlockFloatCompander::BlockFloatCompress_9b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>* dataOut)</div><div class="line"><a name="l00360"></a><span class="lineno"> 360</span> {</div><div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  int8_t storedExp[BlockFloatCompander::k_numRB] = {};</div><div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  <a class="code" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a>(dataIn, storedExp);</div><div class="line"><a name="l00364"></a><span class="lineno"> 364</span> </div><div class="line"><a name="l00367"></a><span class="lineno"> 367</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  {</div><div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal);</div><div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  <span class="keyword">auto</span> compData = _mm512_srai_epi16(*rawDataIn, storedExp[n]);</div><div class="line"><a name="l00373"></a><span class="lineno"> 373</span> </div><div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  <span class="keyword">auto</span> compDataBytePacked = <a class="code" href="xran__compression_8cpp.html#acb87fe08d3492b251e7a2561488064fa">networkBytePack9b</a>(compData);</div><div class="line"><a name="l00376"></a><span class="lineno"> 376</span> </div><div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 28;</div><div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <span class="keyword">auto</span> thisRBExpAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00380"></a><span class="lineno"> 380</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[thisRBExpAddr] = storedExp[n];</div><div class="line"><a name="l00381"></a><span class="lineno"> 381</span> </div><div class="line"><a name="l00384"></a><span class="lineno"> 384</span>  constexpr uint16_t k_RbWriteMask = 0x01FF;</div><div class="line"><a name="l00385"></a><span class="lineno"> 385</span>  constexpr <span class="keywordtype">int</span> k_numDataBytesPerLane = 9;</div><div class="line"><a name="l00386"></a><span class="lineno"> 386</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 0));</div><div class="line"><a name="l00387"></a><span class="lineno"> 387</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + k_numDataBytesPerLane, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 1));</div><div class="line"><a name="l00388"></a><span class="lineno"> 388</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + (2 * k_numDataBytesPerLane), k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 2));</div><div class="line"><a name="l00389"></a><span class="lineno"> 389</span>  }</div><div class="line"><a name="l00390"></a><span class="lineno"> 390</span> }</div><div class="line"><a name="l00391"></a><span class="lineno"> 391</span> </div><div class="line"><a name="l00392"></a><span class="lineno"> 392</span> </div><div class="line"><a name="l00394"></a><span class="lineno"> 394</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00395"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#ae525362ca026142cab4ac983e29ad0ff"> 395</a></span> <a class="code" href="namespace_block_float_compander.html#ae525362ca026142cab4ac983e29ad0ff">BlockFloatCompander::BlockFloatCompress_10b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>* dataOut)</div><div class="line"><a name="l00396"></a><span class="lineno"> 396</span> {</div><div class="line"><a name="l00398"></a><span class="lineno"> 398</span>  int8_t storedExp[BlockFloatCompander::k_numRB] = {};</div><div class="line"><a name="l00399"></a><span class="lineno"> 399</span>  <a class="code" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a>(dataIn, storedExp);</div><div class="line"><a name="l00400"></a><span class="lineno"> 400</span> </div><div class="line"><a name="l00403"></a><span class="lineno"> 403</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00404"></a><span class="lineno"> 404</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00405"></a><span class="lineno"> 405</span>  {</div><div class="line"><a name="l00407"></a><span class="lineno"> 407</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal);</div><div class="line"><a name="l00408"></a><span class="lineno"> 408</span>  <span class="keyword">auto</span> compData = _mm512_srai_epi16(*rawDataIn, storedExp[n]);</div><div class="line"><a name="l00409"></a><span class="lineno"> 409</span> </div><div class="line"><a name="l00411"></a><span class="lineno"> 411</span>  <span class="keyword">auto</span> compDataBytePacked = <a class="code" href="xran__compression_8cpp.html#a4a2767bece9b74bb6348b416af70a3de">networkBytePack10b</a>(compData);</div><div class="line"><a name="l00412"></a><span class="lineno"> 412</span> </div><div class="line"><a name="l00414"></a><span class="lineno"> 414</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 31;</div><div class="line"><a name="l00415"></a><span class="lineno"> 415</span>  <span class="keyword">auto</span> thisRBExpAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00416"></a><span class="lineno"> 416</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[thisRBExpAddr] = storedExp[n];</div><div class="line"><a name="l00417"></a><span class="lineno"> 417</span> </div><div class="line"><a name="l00420"></a><span class="lineno"> 420</span>  constexpr uint16_t k_RbWriteMask = 0x03FF;</div><div class="line"><a name="l00421"></a><span class="lineno"> 421</span>  constexpr <span class="keywordtype">int</span> k_numDataBytesPerLane = 10;</div><div class="line"><a name="l00422"></a><span class="lineno"> 422</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 0));</div><div class="line"><a name="l00423"></a><span class="lineno"> 423</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + k_numDataBytesPerLane, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 1));</div><div class="line"><a name="l00424"></a><span class="lineno"> 424</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + (2 * k_numDataBytesPerLane), k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 2));</div><div class="line"><a name="l00425"></a><span class="lineno"> 425</span>  }</div><div class="line"><a name="l00426"></a><span class="lineno"> 426</span> }</div><div class="line"><a name="l00427"></a><span class="lineno"> 427</span> </div><div class="line"><a name="l00428"></a><span class="lineno"> 428</span> </div><div class="line"><a name="l00430"></a><span class="lineno"> 430</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00431"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a2a8db4c5039bc3d5237b31ca2a129815"> 431</a></span> <a class="code" href="namespace_block_float_compander.html#a2a8db4c5039bc3d5237b31ca2a129815">BlockFloatCompander::BlockFloatCompress_12b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>* dataOut)</div><div class="line"><a name="l00432"></a><span class="lineno"> 432</span> {</div><div class="line"><a name="l00434"></a><span class="lineno"> 434</span>  int8_t storedExp[BlockFloatCompander::k_numRB] = {};</div><div class="line"><a name="l00435"></a><span class="lineno"> 435</span>  <a class="code" href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a>(dataIn, storedExp);</div><div class="line"><a name="l00436"></a><span class="lineno"> 436</span> </div><div class="line"><a name="l00439"></a><span class="lineno"> 439</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00440"></a><span class="lineno"> 440</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00441"></a><span class="lineno"> 441</span>  {</div><div class="line"><a name="l00443"></a><span class="lineno"> 443</span>  <span class="keyword">const</span> __m512i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m512i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal);</div><div class="line"><a name="l00444"></a><span class="lineno"> 444</span>  <span class="keyword">auto</span> compData = _mm512_srai_epi16(*rawDataIn, storedExp[n]);</div><div class="line"><a name="l00445"></a><span class="lineno"> 445</span> </div><div class="line"><a name="l00447"></a><span class="lineno"> 447</span>  <span class="keyword">auto</span> compDataBytePacked = <a class="code" href="xran__compression_8cpp.html#aafe7eae735c4ebf8f028e7baa6783c22">networkBytePack12b</a>(compData);</div><div class="line"><a name="l00448"></a><span class="lineno"> 448</span> </div><div class="line"><a name="l00450"></a><span class="lineno"> 450</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 37;</div><div class="line"><a name="l00451"></a><span class="lineno"> 451</span>  <span class="keyword">auto</span> thisRBExpAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00452"></a><span class="lineno"> 452</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[thisRBExpAddr] = storedExp[n];</div><div class="line"><a name="l00453"></a><span class="lineno"> 453</span> </div><div class="line"><a name="l00456"></a><span class="lineno"> 456</span>  constexpr uint16_t k_RbWriteMask = 0x0FFF;</div><div class="line"><a name="l00457"></a><span class="lineno"> 457</span>  constexpr <span class="keywordtype">int</span> k_numDataBytesPerLane = 12;</div><div class="line"><a name="l00458"></a><span class="lineno"> 458</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 0));</div><div class="line"><a name="l00459"></a><span class="lineno"> 459</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + k_numDataBytesPerLane, k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 1));</div><div class="line"><a name="l00460"></a><span class="lineno"> 460</span>  _mm_mask_storeu_epi8(dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + thisRBExpAddr + 1 + (2 * k_numDataBytesPerLane), k_RbWriteMask, _mm512_extracti64x2_epi64(compDataBytePacked, 2));</div><div class="line"><a name="l00461"></a><span class="lineno"> 461</span>  }</div><div class="line"><a name="l00462"></a><span class="lineno"> 462</span> }</div><div class="line"><a name="l00463"></a><span class="lineno"> 463</span> </div><div class="line"><a name="l00464"></a><span class="lineno"> 464</span> </div><div class="line"><a name="l00466"></a><span class="lineno"> 466</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00467"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#ae4ad42b117d59e2e7ff8fad2d5da506e"> 467</a></span> <a class="code" href="namespace_block_float_compander.html#ae4ad42b117d59e2e7ff8fad2d5da506e">BlockFloatCompander::BlockFloatExpand_8b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>* dataOut)</div><div class="line"><a name="l00468"></a><span class="lineno"> 468</span> {</div><div class="line"><a name="l00469"></a><span class="lineno"> 469</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00470"></a><span class="lineno"> 470</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00471"></a><span class="lineno"> 471</span>  {</div><div class="line"><a name="l00473"></a><span class="lineno"> 473</span>  <span class="keyword">auto</span> expAddr = n * (BlockFloatCompander::k_numREReal + 1);</div><div class="line"><a name="l00474"></a><span class="lineno"> 474</span>  <span class="keyword">const</span> __m256i* rawDataIn = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span>__m256i*<span class="keyword">></span>(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr + 1);</div><div class="line"><a name="l00475"></a><span class="lineno"> 475</span>  <span class="keyword">const</span> <span class="keyword">auto</span> compData16 = _mm512_cvtepi8_epi16(*rawDataIn);</div><div class="line"><a name="l00476"></a><span class="lineno"> 476</span>  <span class="keyword">const</span> <span class="keyword">auto</span> expData = _mm512_slli_epi16(compData16, *(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr));</div><div class="line"><a name="l00478"></a><span class="lineno"> 478</span>  constexpr uint8_t k_rbMask64 = 0b00111111; <span class="comment">// 64b write mask for 1RB (24 int16 values)</span></div><div class="line"><a name="l00479"></a><span class="lineno"> 479</span>  _mm512_mask_storeu_epi64(dataOut-><a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal, k_rbMask64, expData);</div><div class="line"><a name="l00480"></a><span class="lineno"> 480</span>  }</div><div class="line"><a name="l00481"></a><span class="lineno"> 481</span> }</div><div class="line"><a name="l00482"></a><span class="lineno"> 482</span> </div><div class="line"><a name="l00483"></a><span class="lineno"> 483</span> </div><div class="line"><a name="l00485"></a><span class="lineno"> 485</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00486"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a32917a78ac1596d9aa95e4089ec88ba9"> 486</a></span> <a class="code" href="namespace_block_float_compander.html#a32917a78ac1596d9aa95e4089ec88ba9">BlockFloatCompander::BlockFloatExpand_9b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>* dataOut)</div><div class="line"><a name="l00487"></a><span class="lineno"> 487</span> {</div><div class="line"><a name="l00488"></a><span class="lineno"> 488</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00489"></a><span class="lineno"> 489</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00490"></a><span class="lineno"> 490</span>  {</div><div class="line"><a name="l00491"></a><span class="lineno"> 491</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 28;</div><div class="line"><a name="l00492"></a><span class="lineno"> 492</span>  <span class="keyword">auto</span> expAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00493"></a><span class="lineno"> 493</span> </div><div class="line"><a name="l00495"></a><span class="lineno"> 495</span>  <span class="keyword">auto</span> expData = <a class="code" href="xran__compression_8cpp.html#afb29866152e84d42cd2e3bc116454493">networkByteUnpack9b</a>(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr + 1);</div><div class="line"><a name="l00496"></a><span class="lineno"> 496</span> </div><div class="line"><a name="l00498"></a><span class="lineno"> 498</span>  constexpr <span class="keywordtype">int</span> k_maxExpShift = 7;</div><div class="line"><a name="l00499"></a><span class="lineno"> 499</span>  expData = _mm512_srai_epi16(expData, k_maxExpShift - *(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr));</div><div class="line"><a name="l00500"></a><span class="lineno"> 500</span> </div><div class="line"><a name="l00502"></a><span class="lineno"> 502</span>  <span class="keyword">static</span> constexpr uint32_t k_WriteMask = 0x00FFFFFF;</div><div class="line"><a name="l00503"></a><span class="lineno"> 503</span>  _mm512_mask_storeu_epi16(dataOut-><a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal, k_WriteMask, expData);</div><div class="line"><a name="l00504"></a><span class="lineno"> 504</span>  }</div><div class="line"><a name="l00505"></a><span class="lineno"> 505</span> }</div><div class="line"><a name="l00506"></a><span class="lineno"> 506</span> </div><div class="line"><a name="l00507"></a><span class="lineno"> 507</span> </div><div class="line"><a name="l00509"></a><span class="lineno"> 509</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00510"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a8fae7506e2b9c9f9365b306375ab6eff"> 510</a></span> <a class="code" href="namespace_block_float_compander.html#a8fae7506e2b9c9f9365b306375ab6eff">BlockFloatCompander::BlockFloatExpand_10b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>* dataOut)</div><div class="line"><a name="l00511"></a><span class="lineno"> 511</span> {</div><div class="line"><a name="l00512"></a><span class="lineno"> 512</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00513"></a><span class="lineno"> 513</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00514"></a><span class="lineno"> 514</span>  {</div><div class="line"><a name="l00515"></a><span class="lineno"> 515</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 31;</div><div class="line"><a name="l00516"></a><span class="lineno"> 516</span>  <span class="keyword">auto</span> expAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00517"></a><span class="lineno"> 517</span> </div><div class="line"><a name="l00519"></a><span class="lineno"> 519</span>  <span class="keyword">auto</span> expData = <a class="code" href="xran__compression_8cpp.html#a27043376e22397cc933d3c4d9450677b">networkByteUnpack10b</a>(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr + 1);</div><div class="line"><a name="l00520"></a><span class="lineno"> 520</span> </div><div class="line"><a name="l00522"></a><span class="lineno"> 522</span>  constexpr <span class="keywordtype">int</span> k_maxExpShift = 6;</div><div class="line"><a name="l00523"></a><span class="lineno"> 523</span>  expData = _mm512_srai_epi16(expData, k_maxExpShift - *(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr));</div><div class="line"><a name="l00524"></a><span class="lineno"> 524</span> </div><div class="line"><a name="l00526"></a><span class="lineno"> 526</span>  <span class="keyword">static</span> constexpr uint32_t k_WriteMask = 0x00FFFFFF;</div><div class="line"><a name="l00527"></a><span class="lineno"> 527</span>  _mm512_mask_storeu_epi16(dataOut-><a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal, k_WriteMask, expData);</div><div class="line"><a name="l00528"></a><span class="lineno"> 528</span>  }</div><div class="line"><a name="l00529"></a><span class="lineno"> 529</span> }</div><div class="line"><a name="l00530"></a><span class="lineno"> 530</span> </div><div class="line"><a name="l00531"></a><span class="lineno"> 531</span> </div><div class="line"><a name="l00533"></a><span class="lineno"> 533</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00534"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a65b09b78fac0c8dcfc9edd5091b728dd"> 534</a></span> <a class="code" href="namespace_block_float_compander.html#a65b09b78fac0c8dcfc9edd5091b728dd">BlockFloatCompander::BlockFloatExpand_12b_AVX512</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>* dataOut)</div><div class="line"><a name="l00535"></a><span class="lineno"> 535</span> {</div><div class="line"><a name="l00536"></a><span class="lineno"> 536</span> <span class="preprocessor">#pragma unroll(BlockFloatCompander::k_numRB)</span></div><div class="line"><a name="l00537"></a><span class="lineno"> 537</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numRB; ++n)</div><div class="line"><a name="l00538"></a><span class="lineno"> 538</span>  {</div><div class="line"><a name="l00539"></a><span class="lineno"> 539</span>  constexpr <span class="keywordtype">int</span> k_totNumBytesPerRB = 37;</div><div class="line"><a name="l00540"></a><span class="lineno"> 540</span>  <span class="keyword">auto</span> expAddr = n * k_totNumBytesPerRB;</div><div class="line"><a name="l00541"></a><span class="lineno"> 541</span> </div><div class="line"><a name="l00543"></a><span class="lineno"> 543</span>  <span class="keyword">auto</span> expData = <a class="code" href="xran__compression_8cpp.html#a91aa9bdb6901711b43d848a4a5a94d2f">networkByteUnpack12b</a>(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr + 1);</div><div class="line"><a name="l00544"></a><span class="lineno"> 544</span> </div><div class="line"><a name="l00546"></a><span class="lineno"> 546</span>  constexpr <span class="keywordtype">int</span> k_maxExpShift = 4;</div><div class="line"><a name="l00547"></a><span class="lineno"> 547</span>  expData = _mm512_srai_epi16(expData, k_maxExpShift - *(dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> + expAddr));</div><div class="line"><a name="l00548"></a><span class="lineno"> 548</span> </div><div class="line"><a name="l00550"></a><span class="lineno"> 550</span>  <span class="keyword">static</span> constexpr uint32_t k_WriteMask = 0x00FFFFFF;</div><div class="line"><a name="l00551"></a><span class="lineno"> 551</span>  _mm512_mask_storeu_epi16(dataOut-><a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> + n * BlockFloatCompander::k_numREReal, k_WriteMask, expData);</div><div class="line"><a name="l00552"></a><span class="lineno"> 552</span>  }</div><div class="line"><a name="l00553"></a><span class="lineno"> 553</span> }</div><div class="line"><a name="l00554"></a><span class="lineno"> 554</span> </div><div class="line"><a name="l00555"></a><span class="lineno"> 555</span> </div><div class="line"><a name="l00557"></a><span class="lineno"> 557</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00558"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a45cc83687ca392534168cb8f4d64182f"> 558</a></span> <a class="code" href="namespace_block_float_compander.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompander::BlockFloatCompress_Basic</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>* dataOut)</div><div class="line"><a name="l00559"></a><span class="lineno"> 559</span> {</div><div class="line"><a name="l00560"></a><span class="lineno"> 560</span>  <span class="keywordtype">int</span> dataOutIdx = 0;</div><div class="line"><a name="l00561"></a><span class="lineno"> 561</span>  int16_t iqMask = (int16_t)((1 << dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) - 1);</div><div class="line"><a name="l00562"></a><span class="lineno"> 562</span>  <span class="keywordtype">int</span> byteShiftUnits = dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> - 8;</div><div class="line"><a name="l00563"></a><span class="lineno"> 563</span> </div><div class="line"><a name="l00564"></a><span class="lineno"> 564</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> = 0; <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> < BlockFloatCompander::k_numRB; ++<a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a>)</div><div class="line"><a name="l00565"></a><span class="lineno"> 565</span>  {</div><div class="line"><a name="l00567"></a><span class="lineno"> 567</span>  int16_t maxAbs = 0;</div><div class="line"><a name="l00568"></a><span class="lineno"> 568</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> re = 0; re < BlockFloatCompander::k_numREReal; ++re)</div><div class="line"><a name="l00569"></a><span class="lineno"> 569</span>  {</div><div class="line"><a name="l00570"></a><span class="lineno"> 570</span>  <span class="keyword">auto</span> dataIdx = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * BlockFloatCompander::k_numREReal + re;</div><div class="line"><a name="l00571"></a><span class="lineno"> 571</span>  <span class="keyword">auto</span> dataAbs = saturateAbs(dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdx]);</div><div class="line"><a name="l00572"></a><span class="lineno"> 572</span>  maxAbs = std::max(maxAbs, dataAbs);</div><div class="line"><a name="l00573"></a><span class="lineno"> 573</span>  }</div><div class="line"><a name="l00574"></a><span class="lineno"> 574</span> </div><div class="line"><a name="l00575"></a><span class="lineno"> 575</span>  <span class="comment">// Find exponent and insert into byte stream</span></div><div class="line"><a name="l00576"></a><span class="lineno"> 576</span>  <span class="keyword">auto</span> thisExp = (uint8_t)(std::max(0,(16 - dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> + 1 - __lzcnt16(maxAbs))));</div><div class="line"><a name="l00577"></a><span class="lineno"> 577</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataOutIdx++] = thisExp;</div><div class="line"><a name="l00578"></a><span class="lineno"> 578</span> </div><div class="line"><a name="l00582"></a><span class="lineno"> 582</span>  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> k_byteMask = 0xFF;</div><div class="line"><a name="l00583"></a><span class="lineno"> 583</span>  <span class="keywordtype">int</span> byteShiftVal = -8;</div><div class="line"><a name="l00584"></a><span class="lineno"> 584</span>  <span class="keywordtype">int</span> byteBuffer = { 0 };</div><div class="line"><a name="l00585"></a><span class="lineno"> 585</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> re = 0; re < BlockFloatCompander::k_numREReal; ++re)</div><div class="line"><a name="l00586"></a><span class="lineno"> 586</span>  {</div><div class="line"><a name="l00587"></a><span class="lineno"> 587</span>  <span class="keyword">auto</span> dataIdxIn = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * BlockFloatCompander::k_numREReal + re;</div><div class="line"><a name="l00588"></a><span class="lineno"> 588</span>  <span class="keyword">auto</span> thisRE = dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdxIn] >> thisExp;</div><div class="line"><a name="l00589"></a><span class="lineno"> 589</span>  byteBuffer = (byteBuffer << dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + (<span class="keywordtype">int</span>)(thisRE & iqMask);</div><div class="line"><a name="l00590"></a><span class="lineno"> 590</span> </div><div class="line"><a name="l00591"></a><span class="lineno"> 591</span>  byteShiftVal += (8 + byteShiftUnits);</div><div class="line"><a name="l00592"></a><span class="lineno"> 592</span>  <span class="keywordflow">while</span> (byteShiftVal >= 0)</div><div class="line"><a name="l00593"></a><span class="lineno"> 593</span>  {</div><div class="line"><a name="l00594"></a><span class="lineno"> 594</span>  <span class="keyword">auto</span> thisByte = (uint8_t)((byteBuffer >> byteShiftVal) & k_byteMask);</div><div class="line"><a name="l00595"></a><span class="lineno"> 595</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataOutIdx++] = thisByte;</div><div class="line"><a name="l00596"></a><span class="lineno"> 596</span>  byteShiftVal -= 8;</div><div class="line"><a name="l00597"></a><span class="lineno"> 597</span>  }</div><div class="line"><a name="l00598"></a><span class="lineno"> 598</span>  }</div><div class="line"><a name="l00599"></a><span class="lineno"> 599</span>  }</div><div class="line"><a name="l00600"></a><span class="lineno"> 600</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = dataIn.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>;</div><div class="line"><a name="l00601"></a><span class="lineno"> 601</span> }</div><div class="line"><a name="l00602"></a><span class="lineno"> 602</span> </div><div class="line"><a name="l00604"></a><span class="lineno"> 604</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00605"></a><span class="lineno"><a class="line" href="namespace_block_float_compander.html#a5f4776cd07aac0ae2d9dbd02aaba3435"> 605</a></span> <a class="code" href="namespace_block_float_compander.html#a5f4776cd07aac0ae2d9dbd02aaba3435">BlockFloatCompander::BlockFloatExpand_Basic</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">ExpandedData</a>* dataOut)</div><div class="line"><a name="l00606"></a><span class="lineno"> 606</span> {</div><div class="line"><a name="l00607"></a><span class="lineno"> 607</span>  uint32_t iqMask = (uint32_t)(UINT_MAX - ((1 << (32 - dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>)) - 1));</div><div class="line"><a name="l00608"></a><span class="lineno"> 608</span>  uint32_t byteBuffer = { 0 };</div><div class="line"><a name="l00609"></a><span class="lineno"> 609</span>  <span class="keywordtype">int</span> numBytesPerRB = (3 * dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + 1;</div><div class="line"><a name="l00610"></a><span class="lineno"> 610</span>  <span class="keywordtype">int</span> bitPointer = 0;</div><div class="line"><a name="l00611"></a><span class="lineno"> 611</span>  <span class="keywordtype">int</span> dataIdxOut = 0;</div><div class="line"><a name="l00612"></a><span class="lineno"> 612</span> </div><div class="line"><a name="l00613"></a><span class="lineno"> 613</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> = 0; <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> < BlockFloatCompander::k_numRB; ++<a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a>)</div><div class="line"><a name="l00614"></a><span class="lineno"> 614</span>  {</div><div class="line"><a name="l00615"></a><span class="lineno"> 615</span>  <span class="keyword">auto</span> expIdx = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * numBytesPerRB;</div><div class="line"><a name="l00616"></a><span class="lineno"> 616</span>  <span class="keyword">auto</span> signExtShift = 32 - dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> - dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[expIdx];</div><div class="line"><a name="l00617"></a><span class="lineno"> 617</span> </div><div class="line"><a name="l00618"></a><span class="lineno"> 618</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> b = 0; b < numBytesPerRB - 1; ++b)</div><div class="line"><a name="l00619"></a><span class="lineno"> 619</span>  {</div><div class="line"><a name="l00620"></a><span class="lineno"> 620</span>  <span class="keyword">auto</span> dataIdxIn = (expIdx + 1) + b;</div><div class="line"><a name="l00621"></a><span class="lineno"> 621</span>  <span class="keyword">auto</span> thisByte = (uint16_t)dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataIdxIn];</div><div class="line"><a name="l00622"></a><span class="lineno"> 622</span>  byteBuffer = (uint32_t)((byteBuffer << 8) + thisByte);</div><div class="line"><a name="l00623"></a><span class="lineno"> 623</span>  bitPointer += 8;</div><div class="line"><a name="l00624"></a><span class="lineno"> 624</span>  <span class="keywordflow">while</span> (bitPointer >= dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>)</div><div class="line"><a name="l00625"></a><span class="lineno"> 625</span>  {</div><div class="line"><a name="l00629"></a><span class="lineno"> 629</span>  int32_t thisSample32 = (int32_t)((byteBuffer << (32 - bitPointer)) & iqMask);</div><div class="line"><a name="l00630"></a><span class="lineno"> 630</span>  int16_t thisSample = (int16_t)(thisSample32 >> signExtShift);</div><div class="line"><a name="l00631"></a><span class="lineno"> 631</span>  bitPointer -= dataIn.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>;</div><div class="line"><a name="l00632"></a><span class="lineno"> 632</span>  dataOut-><a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdxOut++] = thisSample;</div><div class="line"><a name="l00633"></a><span class="lineno"> 633</span>  }</div><div class="line"><a name="l00634"></a><span class="lineno"> 634</span>  }</div><div class="line"><a name="l00635"></a><span class="lineno"> 635</span>  }</div><div class="line"><a name="l00636"></a><span class="lineno"> 636</span> }</div><div class="line"><a name="l00637"></a><span class="lineno"> 637</span> </div><div class="line"><a name="l00639"></a><span class="lineno"> 639</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00640"></a><span class="lineno"><a class="line" href="namespace_block_float_compander_b_f_w.html#a45cc83687ca392534168cb8f4d64182f"> 640</a></span> <a class="code" href="namespace_block_float_compander_b_f_w.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompanderBFW::BlockFloatCompress_Basic</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html">BlockFloatCompanderBFW::ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html">BlockFloatCompanderBFW::CompressedData</a>* dataOut)</div><div class="line"><a name="l00641"></a><span class="lineno"> 641</span> {</div><div class="line"><a name="l00642"></a><span class="lineno"> 642</span>  <span class="keywordtype">int</span> dataOutIdx = 0;</div><div class="line"><a name="l00643"></a><span class="lineno"> 643</span>  int16_t iqMask = (int16_t)((1 << dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) - 1);</div><div class="line"><a name="l00644"></a><span class="lineno"> 644</span>  <span class="keywordtype">int</span> byteShiftUnits = dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> - 8;</div><div class="line"><a name="l00645"></a><span class="lineno"> 645</span> </div><div class="line"><a name="l00646"></a><span class="lineno"> 646</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> = 0; <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> < BlockFloatCompanderBFW::k_numRB; ++<a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a>)</div><div class="line"><a name="l00647"></a><span class="lineno"> 647</span>  {</div><div class="line"><a name="l00649"></a><span class="lineno"> 649</span>  int16_t maxAbs = 0;</div><div class="line"><a name="l00650"></a><span class="lineno"> 650</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> re = 0; re < BlockFloatCompanderBFW::k_numREReal; ++re)</div><div class="line"><a name="l00651"></a><span class="lineno"> 651</span>  {</div><div class="line"><a name="l00652"></a><span class="lineno"> 652</span>  <span class="keyword">auto</span> dataIdx = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * BlockFloatCompanderBFW::k_numREReal + re;</div><div class="line"><a name="l00653"></a><span class="lineno"> 653</span>  <span class="keyword">auto</span> dataAbs = saturateAbs(dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdx]);</div><div class="line"><a name="l00654"></a><span class="lineno"> 654</span>  maxAbs = std::max(maxAbs, dataAbs);</div><div class="line"><a name="l00655"></a><span class="lineno"> 655</span>  }</div><div class="line"><a name="l00656"></a><span class="lineno"> 656</span> </div><div class="line"><a name="l00657"></a><span class="lineno"> 657</span>  <span class="comment">// Find exponent and insert into byte stream</span></div><div class="line"><a name="l00658"></a><span class="lineno"> 658</span>  <span class="keyword">auto</span> thisExp = (uint8_t)(std::max(0,(16 - dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> + 1 - __lzcnt16(maxAbs))));</div><div class="line"><a name="l00659"></a><span class="lineno"> 659</span>  dataOut-><a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataOutIdx++] = thisExp;</div><div class="line"><a name="l00660"></a><span class="lineno"> 660</span> </div><div class="line"><a name="l00664"></a><span class="lineno"> 664</span>  <span class="keyword">static</span> constexpr <span class="keywordtype">int</span> k_byteMask = 0xFF;</div><div class="line"><a name="l00665"></a><span class="lineno"> 665</span>  <span class="keywordtype">int</span> byteShiftVal = -8;</div><div class="line"><a name="l00666"></a><span class="lineno"> 666</span>  <span class="keywordtype">int</span> byteBuffer = { 0 };</div><div class="line"><a name="l00667"></a><span class="lineno"> 667</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> re = 0; re < BlockFloatCompanderBFW::k_numREReal; ++re)</div><div class="line"><a name="l00668"></a><span class="lineno"> 668</span>  {</div><div class="line"><a name="l00669"></a><span class="lineno"> 669</span>  <span class="keyword">auto</span> dataIdxIn = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * BlockFloatCompanderBFW::k_numREReal + re;</div><div class="line"><a name="l00670"></a><span class="lineno"> 670</span>  <span class="keyword">auto</span> thisRE = dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdxIn] >> thisExp;</div><div class="line"><a name="l00671"></a><span class="lineno"> 671</span>  byteBuffer = (byteBuffer << dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + (<span class="keywordtype">int</span>)(thisRE & iqMask);</div><div class="line"><a name="l00672"></a><span class="lineno"> 672</span> </div><div class="line"><a name="l00673"></a><span class="lineno"> 673</span>  byteShiftVal += (8 + byteShiftUnits);</div><div class="line"><a name="l00674"></a><span class="lineno"> 674</span>  <span class="keywordflow">while</span> (byteShiftVal >= 0)</div><div class="line"><a name="l00675"></a><span class="lineno"> 675</span>  {</div><div class="line"><a name="l00676"></a><span class="lineno"> 676</span>  <span class="keyword">auto</span> thisByte = (uint8_t)((byteBuffer >> byteShiftVal) & k_byteMask);</div><div class="line"><a name="l00677"></a><span class="lineno"> 677</span>  dataOut-><a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataOutIdx++] = thisByte;</div><div class="line"><a name="l00678"></a><span class="lineno"> 678</span>  byteShiftVal -= 8;</div><div class="line"><a name="l00679"></a><span class="lineno"> 679</span>  }</div><div class="line"><a name="l00680"></a><span class="lineno"> 680</span>  }</div><div class="line"><a name="l00681"></a><span class="lineno"> 681</span>  }</div><div class="line"><a name="l00682"></a><span class="lineno"> 682</span>  dataOut-><a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>;</div><div class="line"><a name="l00683"></a><span class="lineno"> 683</span> }</div><div class="line"><a name="l00684"></a><span class="lineno"> 684</span> </div><div class="line"><a name="l00686"></a><span class="lineno"> 686</span> <span class="keywordtype">void</span></div><div class="line"><a name="l00687"></a><span class="lineno"><a class="line" href="namespace_block_float_compander_b_f_w.html#a5f4776cd07aac0ae2d9dbd02aaba3435"> 687</a></span> <a class="code" href="namespace_block_float_compander_b_f_w.html#a5f4776cd07aac0ae2d9dbd02aaba3435">BlockFloatCompanderBFW::BlockFloatExpand_Basic</a>(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html">BlockFloatCompanderBFW::CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html">BlockFloatCompanderBFW::ExpandedData</a>* dataOut)</div><div class="line"><a name="l00688"></a><span class="lineno"> 688</span> {</div><div class="line"><a name="l00689"></a><span class="lineno"> 689</span>  uint32_t iqMask = (uint32_t)(UINT_MAX - ((1 << (32 - dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>)) - 1));</div><div class="line"><a name="l00690"></a><span class="lineno"> 690</span>  uint32_t byteBuffer = { 0 };</div><div class="line"><a name="l00691"></a><span class="lineno"> 691</span>  <span class="keywordtype">int</span> numBytesPerRB = (3 * dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + 1;</div><div class="line"><a name="l00692"></a><span class="lineno"> 692</span>  <span class="keywordtype">int</span> bitPointer = 0;</div><div class="line"><a name="l00693"></a><span class="lineno"> 693</span>  <span class="keywordtype">int</span> dataIdxOut = 0;</div><div class="line"><a name="l00694"></a><span class="lineno"> 694</span> </div><div class="line"><a name="l00695"></a><span class="lineno"> 695</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> = 0; <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> < BlockFloatCompanderBFW::k_numRB; ++<a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a>)</div><div class="line"><a name="l00696"></a><span class="lineno"> 696</span>  {</div><div class="line"><a name="l00697"></a><span class="lineno"> 697</span>  <span class="keyword">auto</span> expIdx = <a class="code" href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a> * numBytesPerRB;</div><div class="line"><a name="l00698"></a><span class="lineno"> 698</span>  <span class="keyword">auto</span> signExtShift = 32 - dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> - dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[expIdx];</div><div class="line"><a name="l00699"></a><span class="lineno"> 699</span> </div><div class="line"><a name="l00700"></a><span class="lineno"> 700</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> b = 0; b < numBytesPerRB - 1; ++b)</div><div class="line"><a name="l00701"></a><span class="lineno"> 701</span>  {</div><div class="line"><a name="l00702"></a><span class="lineno"> 702</span>  <span class="keyword">auto</span> dataIdxIn = (expIdx + 1) + b;</div><div class="line"><a name="l00703"></a><span class="lineno"> 703</span>  <span class="keyword">auto</span> thisByte = (uint16_t)dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a>[dataIdxIn];</div><div class="line"><a name="l00704"></a><span class="lineno"> 704</span>  byteBuffer = (uint32_t)((byteBuffer << 8) + thisByte);</div><div class="line"><a name="l00705"></a><span class="lineno"> 705</span>  bitPointer += 8;</div><div class="line"><a name="l00706"></a><span class="lineno"> 706</span>  <span class="keywordflow">while</span> (bitPointer >= dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>)</div><div class="line"><a name="l00707"></a><span class="lineno"> 707</span>  {</div><div class="line"><a name="l00711"></a><span class="lineno"> 711</span>  int32_t thisSample32 = (int32_t)((byteBuffer << (32 - bitPointer)) & iqMask);</div><div class="line"><a name="l00712"></a><span class="lineno"> 712</span>  int16_t thisSample = (int16_t)(thisSample32 >> signExtShift);</div><div class="line"><a name="l00713"></a><span class="lineno"> 713</span>  bitPointer -= dataIn.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>;</div><div class="line"><a name="l00714"></a><span class="lineno"> 714</span>  dataOut-><a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[dataIdxOut++] = thisSample;</div><div class="line"><a name="l00715"></a><span class="lineno"> 715</span>  }</div><div class="line"><a name="l00716"></a><span class="lineno"> 716</span>  }</div><div class="line"><a name="l00717"></a><span class="lineno"> 717</span>  }</div><div class="line"><a name="l00718"></a><span class="lineno"> 718</span> }</div><div class="line"><a name="l00719"></a><span class="lineno"> 719</span> </div><div class="line"><a name="l00720"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a8e2efc093002a3f4ed586a274dac0814"> 720</a></span> <span class="preprocessor">#define RB_NUM_ROUNDUP(rb) \</span></div><div class="line"><a name="l00721"></a><span class="lineno"> 721</span> <span class="preprocessor"> (BlockFloatCompander::k_numRB * ((rb + BlockFloatCompander::k_numRB - 1) / BlockFloatCompander::k_numRB))</span></div><div class="line"><a name="l00722"></a><span class="lineno"> 722</span> </div><div class="line"><a name="l00723"></a><span class="lineno"> 723</span> </div><div class="line"><a name="l00725"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a509c43699fac542bbef8d2be5ee693e2"> 725</a></span> <span class="keyword">typedef</span> void (*<a class="code" href="xran__compression_8cpp.html#a509c43699fac542bbef8d2be5ee693e2">xran_bfp_compress_fn</a>)(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a>& dataIn,</div><div class="line"><a name="l00726"></a><span class="lineno"> 726</span>  <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">BlockFloatCompander::CompressedData</a>* dataOut);</div><div class="line"><a name="l00727"></a><span class="lineno"> 727</span> </div><div class="line"><a name="l00728"></a><span class="lineno"> 728</span> int32_t</div><div class="line"><a name="l00729"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a0651de68e87558106615163f96b3e599"> 729</a></span> <a class="code" href="xran__compression_8cpp.html#a0651de68e87558106615163f96b3e599">xranlib_compress_avx512</a>(<span class="keyword">const</span> <span class="keyword">struct</span> <a class="code" href="structxranlib__compress__request.html">xranlib_compress_request</a> *request,</div><div class="line"><a name="l00730"></a><span class="lineno"> 730</span>  <span class="keyword">struct</span> <a class="code" href="structxranlib__compress__response.html">xranlib_compress_response</a> *response)</div><div class="line"><a name="l00731"></a><span class="lineno"> 731</span> {</div><div class="line"><a name="l00732"></a><span class="lineno"> 732</span>  <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a> expandedDataInput;</div><div class="line"><a name="l00733"></a><span class="lineno"> 733</span>  <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">BlockFloatCompander::CompressedData</a> compressedDataOut;</div><div class="line"><a name="l00734"></a><span class="lineno"> 734</span>  <a class="code" href="xran__compression_8cpp.html#a509c43699fac542bbef8d2be5ee693e2">xran_bfp_compress_fn</a> com_fn = NULL;</div><div class="line"><a name="l00735"></a><span class="lineno"> 735</span>  int16_t <a class="code" href="gen__test_8m.html#a887ee7a54247d19e5e93955a7b9663ae">numRBs</a> = request-><a class="code" href="structxranlib__compress__request.html#a8ab4fa409402862ead0d17e13edeeb62">numRBs</a>;</div><div class="line"><a name="l00736"></a><span class="lineno"> 736</span>  int16_t len = 0;</div><div class="line"><a name="l00737"></a><span class="lineno"> 737</span> </div><div class="line"><a name="l00738"></a><span class="lineno"> 738</span>  <span class="keywordflow">switch</span> (request-><a class="code" href="structxranlib__compress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>){</div><div class="line"><a name="l00739"></a><span class="lineno"> 739</span>  <span class="keywordflow">case</span> 8:</div><div class="line"><a name="l00740"></a><span class="lineno"> 740</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 8;</div><div class="line"><a name="l00741"></a><span class="lineno"> 741</span>  com_fn = <a class="code" href="namespace_block_float_compander.html#a5b3ddd524752c8f556bc4c654e392321">BlockFloatCompander::BlockFloatCompress_8b_AVX512</a>;</div><div class="line"><a name="l00742"></a><span class="lineno"> 742</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00743"></a><span class="lineno"> 743</span>  <span class="keywordflow">case</span> 9:</div><div class="line"><a name="l00744"></a><span class="lineno"> 744</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 9;</div><div class="line"><a name="l00745"></a><span class="lineno"> 745</span>  com_fn = <a class="code" href="namespace_block_float_compander.html#a2356f186e264c7cea4e3c26d448bb1d5">BlockFloatCompander::BlockFloatCompress_9b_AVX512</a>;</div><div class="line"><a name="l00746"></a><span class="lineno"> 746</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00747"></a><span class="lineno"> 747</span>  <span class="keywordflow">case</span> 10:</div><div class="line"><a name="l00748"></a><span class="lineno"> 748</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 10;</div><div class="line"><a name="l00749"></a><span class="lineno"> 749</span>  com_fn = <a class="code" href="namespace_block_float_compander.html#ae525362ca026142cab4ac983e29ad0ff">BlockFloatCompander::BlockFloatCompress_10b_AVX512</a>;</div><div class="line"><a name="l00750"></a><span class="lineno"> 750</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00751"></a><span class="lineno"> 751</span>  <span class="keywordflow">case</span> 12:</div><div class="line"><a name="l00752"></a><span class="lineno"> 752</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 12;</div><div class="line"><a name="l00753"></a><span class="lineno"> 753</span>  com_fn = <a class="code" href="namespace_block_float_compander.html#a2a8db4c5039bc3d5237b31ca2a129815">BlockFloatCompander::BlockFloatCompress_12b_AVX512</a>;</div><div class="line"><a name="l00754"></a><span class="lineno"> 754</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00755"></a><span class="lineno"> 755</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00756"></a><span class="lineno"> 756</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = request-><a class="code" href="structxranlib__compress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>;</div><div class="line"><a name="l00757"></a><span class="lineno"> 757</span>  com_fn = <a class="code" href="namespace_block_float_compander.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompander::BlockFloatCompress_Basic</a>;</div><div class="line"><a name="l00758"></a><span class="lineno"> 758</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00759"></a><span class="lineno"> 759</span>  }</div><div class="line"><a name="l00760"></a><span class="lineno"> 760</span> </div><div class="line"><a name="l00761"></a><span class="lineno"> 761</span>  <span class="keywordflow">for</span> (int16_t block_idx = 0;</div><div class="line"><a name="l00762"></a><span class="lineno"> 762</span>  block_idx < <a class="code" href="xran__compression_8cpp.html#a8e2efc093002a3f4ed586a274dac0814">RB_NUM_ROUNDUP</a>(numRBs)/BlockFloatCompander::k_numRB <span class="comment">/*+ 1*/</span>; <span class="comment">/* 16 RBs at time */</span></div><div class="line"><a name="l00763"></a><span class="lineno"> 763</span>  block_idx++) {</div><div class="line"><a name="l00764"></a><span class="lineno"> 764</span> </div><div class="line"><a name="l00765"></a><span class="lineno"> 765</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> =</div><div class="line"><a name="l00766"></a><span class="lineno"> 766</span>  &request-><a class="code" href="structxranlib__compress__request.html#a06bde7ceb81ae7d8d8a101d7cfe4bb25">data_in</a>[block_idx*BlockFloatCompander::k_numSampsExpanded];</div><div class="line"><a name="l00767"></a><span class="lineno"> 767</span>  compressedDataOut.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> =</div><div class="line"><a name="l00768"></a><span class="lineno"> 768</span>  (uint8_t*)&response-><a class="code" href="structxranlib__compress__response.html#aa84b1c03297680b54ecd081d2a69d791">data_out</a>[len];</div><div class="line"><a name="l00769"></a><span class="lineno"> 769</span> </div><div class="line"><a name="l00770"></a><span class="lineno"> 770</span>  com_fn(expandedDataInput, &compressedDataOut);</div><div class="line"><a name="l00771"></a><span class="lineno"> 771</span>  len += ((3 * expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + 1) * std::min((int16_t)BlockFloatCompander::k_numRB,(int16_t)numRBs);</div><div class="line"><a name="l00772"></a><span class="lineno"> 772</span>  }</div><div class="line"><a name="l00773"></a><span class="lineno"> 773</span> </div><div class="line"><a name="l00774"></a><span class="lineno"> 774</span>  response-><a class="code" href="structxranlib__compress__response.html#a6858c4011b5cad020222e9ca5c2786f5">len</a> = ((3 * expandedDataInput.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>) + 1) * <a class="code" href="gen__test_8m.html#a887ee7a54247d19e5e93955a7b9663ae">numRBs</a>;</div><div class="line"><a name="l00775"></a><span class="lineno"> 775</span> </div><div class="line"><a name="l00776"></a><span class="lineno"> 776</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00777"></a><span class="lineno"> 777</span> }</div><div class="line"><a name="l00778"></a><span class="lineno"> 778</span> </div><div class="line"><a name="l00780"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a0f2b928dc9ee0b4a12e23b1eb42ec790"> 780</a></span> <span class="keyword">typedef</span> void (*<a class="code" href="xran__compression_8cpp.html#a0f2b928dc9ee0b4a12e23b1eb42ec790">xran_bfp_compress_bfw_fn</a>)(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html">BlockFloatCompanderBFW::ExpandedData</a>& dataIn, <a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html">BlockFloatCompanderBFW::CompressedData</a>* dataOut);</div><div class="line"><a name="l00781"></a><span class="lineno"> 781</span> </div><div class="line"><a name="l00782"></a><span class="lineno"> 782</span> int32_t</div><div class="line"><a name="l00783"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#aa027200fc051c80b515ee8aeadf44a0e"> 783</a></span> <a class="code" href="xran__compression_8cpp.html#aa027200fc051c80b515ee8aeadf44a0e">xranlib_compress_avx512_bfw</a>(<span class="keyword">const</span> <span class="keyword">struct</span> <a class="code" href="structxranlib__compress__request.html">xranlib_compress_request</a> *request,</div><div class="line"><a name="l00784"></a><span class="lineno"> 784</span>  <span class="keyword">struct</span> <a class="code" href="structxranlib__compress__response.html">xranlib_compress_response</a> *response)</div><div class="line"><a name="l00785"></a><span class="lineno"> 785</span> {</div><div class="line"><a name="l00786"></a><span class="lineno"> 786</span>  <a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html">BlockFloatCompanderBFW::ExpandedData</a> expandedDataInput;</div><div class="line"><a name="l00787"></a><span class="lineno"> 787</span>  <a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html">BlockFloatCompanderBFW::CompressedData</a> compressedDataKern;</div><div class="line"><a name="l00788"></a><span class="lineno"> 788</span>  <a class="code" href="xran__compression_8cpp.html#a0f2b928dc9ee0b4a12e23b1eb42ec790">xran_bfp_compress_bfw_fn</a> com_fn = NULL;</div><div class="line"><a name="l00789"></a><span class="lineno"> 789</span> </div><div class="line"><a name="l00790"></a><span class="lineno"> 790</span> <span class="preprocessor">#if 0</span></div><div class="line"><a name="l00791"></a><span class="lineno"> 791</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> m = 0; m < BlockFloatCompander::k_numRB; ++m){</div><div class="line"><a name="l00792"></a><span class="lineno"> 792</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> n = 0; n < BlockFloatCompander::k_numREReal; ++n){</div><div class="line"><a name="l00793"></a><span class="lineno"> 793</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a>[m*BlockFloatCompander::k_numREReal+n] =</div><div class="line"><a name="l00794"></a><span class="lineno"> 794</span>  request-><a class="code" href="structxranlib__compress__request.html#a06bde7ceb81ae7d8d8a101d7cfe4bb25">data_in</a>[m*BlockFloatCompander::k_numREReal+n];</div><div class="line"><a name="l00795"></a><span class="lineno"> 795</span>  }</div><div class="line"><a name="l00796"></a><span class="lineno"> 796</span>  }</div><div class="line"><a name="l00797"></a><span class="lineno"> 797</span> <span class="preprocessor">#endif</span></div><div class="line"><a name="l00798"></a><span class="lineno"> 798</span> </div><div class="line"><a name="l00799"></a><span class="lineno"> 799</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> = request-><a class="code" href="structxranlib__compress__request.html#a06bde7ceb81ae7d8d8a101d7cfe4bb25">data_in</a>;</div><div class="line"><a name="l00800"></a><span class="lineno"> 800</span>  compressedDataKern.<a class="code" href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> = (uint8_t*)response-><a class="code" href="structxranlib__compress__response.html#aa84b1c03297680b54ecd081d2a69d791">data_out</a>;</div><div class="line"><a name="l00801"></a><span class="lineno"> 801</span> </div><div class="line"><a name="l00802"></a><span class="lineno"> 802</span>  com_fn = <a class="code" href="namespace_block_float_compander_b_f_w.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompanderBFW::BlockFloatCompress_Basic</a>;</div><div class="line"><a name="l00803"></a><span class="lineno"> 803</span>  <a class="code" href="gen__test_8m.html#ae7c338f9b485676bfc0ee154384d8676">switch</a> (request-><a class="code" href="structxranlib__compress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>){</div><div class="line"><a name="l00804"></a><span class="lineno"> 804</span>  <span class="keywordflow">case</span> 8:</div><div class="line"><a name="l00805"></a><span class="lineno"> 805</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 8;</div><div class="line"><a name="l00806"></a><span class="lineno"> 806</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00807"></a><span class="lineno"> 807</span>  <span class="keywordflow">case</span> 9:</div><div class="line"><a name="l00808"></a><span class="lineno"> 808</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 9;</div><div class="line"><a name="l00809"></a><span class="lineno"> 809</span>  <span class="comment">//com_fn = BlockFloatCompanderBFW::BlockFloatExpand_9b_AVX512</span></div><div class="line"><a name="l00810"></a><span class="lineno"> 810</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00811"></a><span class="lineno"> 811</span>  <span class="keywordflow">case</span> 10:</div><div class="line"><a name="l00812"></a><span class="lineno"> 812</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 10;</div><div class="line"><a name="l00813"></a><span class="lineno"> 813</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00814"></a><span class="lineno"> 814</span>  <span class="keywordflow">case</span> 12:</div><div class="line"><a name="l00815"></a><span class="lineno"> 815</span>  expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 12;</div><div class="line"><a name="l00816"></a><span class="lineno"> 816</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00817"></a><span class="lineno"> 817</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00818"></a><span class="lineno"> 818</span>  printf(<span class="stringliteral">"bfwIqWidth is not supported %d\n"</span>, request-><a class="code" href="structxranlib__compress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>);</div><div class="line"><a name="l00819"></a><span class="lineno"> 819</span>  <span class="keywordflow">return</span> -1;</div><div class="line"><a name="l00820"></a><span class="lineno"> 820</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00821"></a><span class="lineno"> 821</span>  }</div><div class="line"><a name="l00822"></a><span class="lineno"> 822</span> </div><div class="line"><a name="l00823"></a><span class="lineno"> 823</span>  com_fn(expandedDataInput, &compressedDataKern);</div><div class="line"><a name="l00824"></a><span class="lineno"> 824</span>  response-><a class="code" href="structxranlib__compress__response.html#a6858c4011b5cad020222e9ca5c2786f5">len</a> = ((BlockFloatCompanderBFW::k_numRE/16*4*expandedDataInput.<a class="code" href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a>)+1)*BlockFloatCompanderBFW::k_numRB;</div><div class="line"><a name="l00825"></a><span class="lineno"> 825</span> </div><div class="line"><a name="l00826"></a><span class="lineno"> 826</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00827"></a><span class="lineno"> 827</span> }</div><div class="line"><a name="l00828"></a><span class="lineno"> 828</span> </div><div class="line"><a name="l00830"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a798850dcd04a495f0e6fb9dc80b74299"> 830</a></span> <span class="keyword">typedef</span> void (*<a class="code" href="xran__compression_8cpp.html#a798850dcd04a495f0e6fb9dc80b74299">xran_bfp_decompress_fn</a>)(<span class="keyword">const</span> <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">BlockFloatCompander::CompressedData</a>& dataIn, <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a>* dataOut);</div><div class="line"><a name="l00831"></a><span class="lineno"> 831</span> </div><div class="line"><a name="l00832"></a><span class="lineno"> 832</span> </div><div class="line"><a name="l00833"></a><span class="lineno"> 833</span> int32_t</div><div class="line"><a name="l00834"></a><span class="lineno"><a class="line" href="xran__compression_8cpp.html#a2bd6ebeefb6ca9674598d443e697918c"> 834</a></span> <a class="code" href="xran__compression_8cpp.html#a2bd6ebeefb6ca9674598d443e697918c">xranlib_decompress_avx512</a>(<span class="keyword">const</span> <span class="keyword">struct</span> <a class="code" href="structxranlib__decompress__request.html">xranlib_decompress_request</a> *request,</div><div class="line"><a name="l00835"></a><span class="lineno"> 835</span>  <span class="keyword">struct</span> <a class="code" href="structxranlib__decompress__response.html">xranlib_decompress_response</a> *response)</div><div class="line"><a name="l00836"></a><span class="lineno"> 836</span> {</div><div class="line"><a name="l00837"></a><span class="lineno"> 837</span> </div><div class="line"><a name="l00838"></a><span class="lineno"> 838</span>  <a class="code" href="struct_block_float_compander_1_1_compressed_data.html">BlockFloatCompander::CompressedData</a> compressedDataInput;</div><div class="line"><a name="l00839"></a><span class="lineno"> 839</span>  <a class="code" href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a> expandedDataOut;</div><div class="line"><a name="l00840"></a><span class="lineno"> 840</span> </div><div class="line"><a name="l00841"></a><span class="lineno"> 841</span>  <a class="code" href="xran__compression_8cpp.html#a798850dcd04a495f0e6fb9dc80b74299">xran_bfp_decompress_fn</a> decom_fn = NULL;</div><div class="line"><a name="l00842"></a><span class="lineno"> 842</span>  int16_t <a class="code" href="gen__test_8m.html#a887ee7a54247d19e5e93955a7b9663ae">numRBs</a> = request-><a class="code" href="structxranlib__decompress__request.html#a8ab4fa409402862ead0d17e13edeeb62">numRBs</a>;</div><div class="line"><a name="l00843"></a><span class="lineno"> 843</span>  int16_t len = 0;</div><div class="line"><a name="l00844"></a><span class="lineno"> 844</span> </div><div class="line"><a name="l00845"></a><span class="lineno"> 845</span>  <span class="keywordflow">switch</span> (request-><a class="code" href="structxranlib__decompress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>){</div><div class="line"><a name="l00846"></a><span class="lineno"> 846</span>  <span class="keywordflow">case</span> 8:</div><div class="line"><a name="l00847"></a><span class="lineno"> 847</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 8;</div><div class="line"><a name="l00848"></a><span class="lineno"> 848</span>  decom_fn = <a class="code" href="namespace_block_float_compander.html#ae4ad42b117d59e2e7ff8fad2d5da506e">BlockFloatCompander::BlockFloatExpand_8b_AVX512</a>;</div><div class="line"><a name="l00849"></a><span class="lineno"> 849</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00850"></a><span class="lineno"> 850</span>  <span class="keywordflow">case</span> 9:</div><div class="line"><a name="l00851"></a><span class="lineno"> 851</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 9;</div><div class="line"><a name="l00852"></a><span class="lineno"> 852</span>  decom_fn = <a class="code" href="namespace_block_float_compander.html#a32917a78ac1596d9aa95e4089ec88ba9">BlockFloatCompander::BlockFloatExpand_9b_AVX512</a>;</div><div class="line"><a name="l00853"></a><span class="lineno"> 853</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00854"></a><span class="lineno"> 854</span>  <span class="keywordflow">case</span> 10:</div><div class="line"><a name="l00855"></a><span class="lineno"> 855</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 10;</div><div class="line"><a name="l00856"></a><span class="lineno"> 856</span>  decom_fn = <a class="code" href="namespace_block_float_compander.html#a8fae7506e2b9c9f9365b306375ab6eff">BlockFloatCompander::BlockFloatExpand_10b_AVX512</a>;</div><div class="line"><a name="l00857"></a><span class="lineno"> 857</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00858"></a><span class="lineno"> 858</span>  <span class="keywordflow">case</span> 12:</div><div class="line"><a name="l00859"></a><span class="lineno"> 859</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = 12;</div><div class="line"><a name="l00860"></a><span class="lineno"> 860</span>  decom_fn = <a class="code" href="namespace_block_float_compander.html#a65b09b78fac0c8dcfc9edd5091b728dd">BlockFloatCompander::BlockFloatExpand_12b_AVX512</a>;</div><div class="line"><a name="l00861"></a><span class="lineno"> 861</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00862"></a><span class="lineno"> 862</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00863"></a><span class="lineno"> 863</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> = request-><a class="code" href="structxranlib__decompress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">iqWidth</a>;</div><div class="line"><a name="l00864"></a><span class="lineno"> 864</span>  decom_fn = <a class="code" href="namespace_block_float_compander.html#a5f4776cd07aac0ae2d9dbd02aaba3435">BlockFloatCompander::BlockFloatExpand_Basic</a>;</div><div class="line"><a name="l00865"></a><span class="lineno"> 865</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00866"></a><span class="lineno"> 866</span>  }</div><div class="line"><a name="l00867"></a><span class="lineno"> 867</span> </div><div class="line"><a name="l00868"></a><span class="lineno"> 868</span>  <span class="keywordflow">for</span> (int16_t block_idx = 0;</div><div class="line"><a name="l00869"></a><span class="lineno"> 869</span>  block_idx < <a class="code" href="xran__compression_8cpp.html#a8e2efc093002a3f4ed586a274dac0814">RB_NUM_ROUNDUP</a>(numRBs)/BlockFloatCompander::k_numRB;</div><div class="line"><a name="l00870"></a><span class="lineno"> 870</span>  block_idx++) {</div><div class="line"><a name="l00871"></a><span class="lineno"> 871</span> </div><div class="line"><a name="l00872"></a><span class="lineno"> 872</span>  compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">dataCompressed</a> = (uint8_t*)&request-><a class="code" href="structxranlib__decompress__request.html#ab7543a52686c726e2f5575a0f53f883f">data_in</a>[block_idx*(((3 * compressedDataInput.<a class="code" href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">iqWidth</a> ) + 1) * BlockFloatCompander::k_numRB)];</div><div class="line"><a name="l00873"></a><span class="lineno"> 873</span>  expandedDataOut.<a class="code" href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">dataExpanded</a> = &response-><a class="code" href="structxranlib__decompress__response.html#a7eac55fa44711c57d8d15dd09e4db135">data_out</a>[len];</div><div class="line"><a name="l00874"></a><span class="lineno"> 874</span> </div><div class="line"><a name="l00875"></a><span class="lineno"> 875</span>  decom_fn(compressedDataInput, &expandedDataOut);</div><div class="line"><a name="l00876"></a><span class="lineno"> 876</span>  len += std::min((int16_t)BlockFloatCompander::k_numSampsExpanded, (int16_t)(numRBs*BlockFloatCompander::k_numREReal));</div><div class="line"><a name="l00877"></a><span class="lineno"> 877</span>  }</div><div class="line"><a name="l00878"></a><span class="lineno"> 878</span> </div><div class="line"><a name="l00879"></a><span class="lineno"> 879</span>  response-><a class="code" href="structxranlib__decompress__response.html#a6858c4011b5cad020222e9ca5c2786f5">len</a> = numRBs * BlockFloatCompander::k_numREReal* <span class="keyword">sizeof</span>(int16_t);</div><div class="line"><a name="l00880"></a><span class="lineno"> 880</span> </div><div class="line"><a name="l00881"></a><span class="lineno"> 881</span>  <span class="keywordflow">return</span> 0;</div><div class="line"><a name="l00882"></a><span class="lineno"> 882</span> }</div><div class="ttc" id="structxranlib__decompress__response_html_a7eac55fa44711c57d8d15dd09e4db135"><div class="ttname"><a href="structxranlib__decompress__response.html#a7eac55fa44711c57d8d15dd09e4db135">xranlib_decompress_response::data_out</a></div><div class="ttdeci">int16_t * data_out</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00073">xran_compression.h:73</a></div></div>
71 <div class="ttc" id="structxranlib__compress__request_html_a06bde7ceb81ae7d8d8a101d7cfe4bb25"><div class="ttname"><a href="structxranlib__compress__request.html#a06bde7ceb81ae7d8d8a101d7cfe4bb25">xranlib_compress_request::data_in</a></div><div class="ttdeci">int16_t * data_in</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00038">xran_compression.h:38</a></div></div>
72 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_compressed_data_html_ab2fd68d067a2e45c839584d0985a7953"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">BlockFloatCompanderBFW::CompressedData::dataCompressed</a></div><div class="ttdeci">CACHE_ALIGNED uint8_t * dataCompressed</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00106">xran_compression.hpp:106</a></div></div>
73 <div class="ttc" id="namespace_block_float_compander_html_a2a8db4c5039bc3d5237b31ca2a129815"><div class="ttname"><a href="namespace_block_float_compander.html#a2a8db4c5039bc3d5237b31ca2a129815">BlockFloatCompander::BlockFloatCompress_12b_AVX512</a></div><div class="ttdeci">void BlockFloatCompress_12b_AVX512(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">12 bit compression </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00431">xran_compression.cpp:431</a></div></div>
74 <div class="ttc" id="xran__pkt__cp_8h_html_affa3adbd50cd4af2018ba1fc0e8c3e31"><div class="ttname"><a href="xran__pkt__cp_8h.html#affa3adbd50cd4af2018ba1fc0e8c3e31">rb</a></div><div class="ttdeci">uint32_t rb</div><div class="ttdef"><b>Definition:</b> <a href="xran__pkt__cp_8h_source.html#l00243">xran_pkt_cp.h:243</a></div></div>
75 <div class="ttc" id="xran__compression_8cpp_html_a0f2b928dc9ee0b4a12e23b1eb42ec790"><div class="ttname"><a href="xran__compression_8cpp.html#a0f2b928dc9ee0b4a12e23b1eb42ec790">xran_bfp_compress_bfw_fn</a></div><div class="ttdeci">void(* xran_bfp_compress_bfw_fn)(const BlockFloatCompanderBFW::ExpandedData &dataIn, BlockFloatCompanderBFW::CompressedData *dataOut)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00780">xran_compression.cpp:780</a></div></div>
76 <div class="ttc" id="structxranlib__compress__request_html_a8ab4fa409402862ead0d17e13edeeb62"><div class="ttname"><a href="structxranlib__compress__request.html#a8ab4fa409402862ead0d17e13edeeb62">xranlib_compress_request::numRBs</a></div><div class="ttdeci">int16_t numRBs</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00039">xran_compression.h:39</a></div></div>
77 <div class="ttc" id="xran__compression_8cpp_html_a4a2767bece9b74bb6348b416af70a3de"><div class="ttname"><a href="xran__compression_8cpp.html#a4a2767bece9b74bb6348b416af70a3de">networkBytePack10b</a></div><div class="ttdeci">__m512i networkBytePack10b(const __m512i compData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00164">xran_compression.cpp:164</a></div></div>
78 <div class="ttc" id="xran__compression_8cpp_html_a8e2efc093002a3f4ed586a274dac0814"><div class="ttname"><a href="xran__compression_8cpp.html#a8e2efc093002a3f4ed586a274dac0814">RB_NUM_ROUNDUP</a></div><div class="ttdeci">#define RB_NUM_ROUNDUP(rb)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00720">xran_compression.cpp:720</a></div></div>
79 <div class="ttc" id="struct_block_float_compander_1_1_compressed_data_html_ad88e9475d4e269108bb716a1cf5f0d40"><div class="ttname"><a href="struct_block_float_compander_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">BlockFloatCompander::CompressedData::iqWidth</a></div><div class="ttdeci">int iqWidth</div><div class="ttdoc">Size of mantissa including sign bit. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00066">xran_compression.hpp:66</a></div></div>
80 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_expanded_data_html_a24d9d1d1b013179affb41be0424b8360"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">BlockFloatCompanderBFW::ExpandedData::dataExpanded</a></div><div class="ttdeci">CACHE_ALIGNED int16_t * dataExpanded</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00115">xran_compression.hpp:115</a></div></div>
81 <div class="ttc" id="struct_block_float_compander_1_1_expanded_data_html"><div class="ttname"><a href="struct_block_float_compander_1_1_expanded_data.html">BlockFloatCompander::ExpandedData</a></div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00069">xran_compression.hpp:69</a></div></div>
82 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_expanded_data_html_ad88e9475d4e269108bb716a1cf5f0d40"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">BlockFloatCompanderBFW::ExpandedData::iqWidth</a></div><div class="ttdeci">int iqWidth</div><div class="ttdoc">Size of mantissa including sign bit. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00118">xran_compression.hpp:118</a></div></div>
83 <div class="ttc" id="structxranlib__decompress__response_html_a6858c4011b5cad020222e9ca5c2786f5"><div class="ttname"><a href="structxranlib__decompress__response.html#a6858c4011b5cad020222e9ca5c2786f5">xranlib_decompress_response::len</a></div><div class="ttdeci">int32_t len</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00075">xran_compression.h:75</a></div></div>
84 <div class="ttc" id="structxranlib__decompress__request_html"><div class="ttname"><a href="structxranlib__decompress__request.html">xranlib_decompress_request</a></div><div class="ttdoc">Request structure containing pointer to data and its length. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00059">xran_compression.h:59</a></div></div>
85 <div class="ttc" id="namespace_block_float_compander_b_f_w_html_a45cc83687ca392534168cb8f4d64182f"><div class="ttname"><a href="namespace_block_float_compander_b_f_w.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompanderBFW::BlockFloatCompress_Basic</a></div><div class="ttdeci">void BlockFloatCompress_Basic(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">Reference compression. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00640">xran_compression.cpp:640</a></div></div>
86 <div class="ttc" id="xran__compression_8h_html"><div class="ttname"><a href="xran__compression_8h.html">xran_compression.h</a></div><div class="ttdoc">External API for compading with the use BFP algorithm. </div></div>
87 <div class="ttc" id="gen__test_8m_html_a887ee7a54247d19e5e93955a7b9663ae"><div class="ttname"><a href="gen__test_8m.html#a887ee7a54247d19e5e93955a7b9663ae">numRBs</a></div><div class="ttdeci">numRBs</div><div class="ttdef"><b>Definition:</b> <a href="gen__test_8m_source.html#l00096">gen_test.m:96</a></div></div>
88 <div class="ttc" id="xran__compression_8cpp_html_a27043376e22397cc933d3c4d9450677b"><div class="ttname"><a href="xran__compression_8cpp.html#a27043376e22397cc933d3c4d9450677b">networkByteUnpack10b</a></div><div class="ttdeci">__m512i networkByteUnpack10b(const uint8_t *inData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00271">xran_compression.cpp:271</a></div></div>
89 <div class="ttc" id="struct_block_float_compander_1_1_expanded_data_html_ad88e9475d4e269108bb716a1cf5f0d40"><div class="ttname"><a href="struct_block_float_compander_1_1_expanded_data.html#ad88e9475d4e269108bb716a1cf5f0d40">BlockFloatCompander::ExpandedData::iqWidth</a></div><div class="ttdeci">int iqWidth</div><div class="ttdoc">Size of mantissa including sign bit. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00076">xran_compression.hpp:76</a></div></div>
90 <div class="ttc" id="xran__compression_8cpp_html_a509c43699fac542bbef8d2be5ee693e2"><div class="ttname"><a href="xran__compression_8cpp.html#a509c43699fac542bbef8d2be5ee693e2">xran_bfp_compress_fn</a></div><div class="ttdeci">void(* xran_bfp_compress_fn)(const BlockFloatCompander::ExpandedData &dataIn, BlockFloatCompander::CompressedData *dataOut)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00725">xran_compression.cpp:725</a></div></div>
91 <div class="ttc" id="namespace_block_float_compander_html_a2356f186e264c7cea4e3c26d448bb1d5"><div class="ttname"><a href="namespace_block_float_compander.html#a2356f186e264c7cea4e3c26d448bb1d5">BlockFloatCompander::BlockFloatCompress_9b_AVX512</a></div><div class="ttdeci">void BlockFloatCompress_9b_AVX512(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">9 bit compression </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00359">xran_compression.cpp:359</a></div></div>
92 <div class="ttc" id="structxranlib__compress__response_html_a6858c4011b5cad020222e9ca5c2786f5"><div class="ttname"><a href="structxranlib__compress__response.html#a6858c4011b5cad020222e9ca5c2786f5">xranlib_compress_response::len</a></div><div class="ttdeci">int32_t len</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00052">xran_compression.h:52</a></div></div>
93 <div class="ttc" id="namespace_block_float_compander_html_ae525362ca026142cab4ac983e29ad0ff"><div class="ttname"><a href="namespace_block_float_compander.html#ae525362ca026142cab4ac983e29ad0ff">BlockFloatCompander::BlockFloatCompress_10b_AVX512</a></div><div class="ttdeci">void BlockFloatCompress_10b_AVX512(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">10 bit compression </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00395">xran_compression.cpp:395</a></div></div>
94 <div class="ttc" id="xran__compression_8cpp_html_a798850dcd04a495f0e6fb9dc80b74299"><div class="ttname"><a href="xran__compression_8cpp.html#a798850dcd04a495f0e6fb9dc80b74299">xran_bfp_decompress_fn</a></div><div class="ttdeci">void(* xran_bfp_decompress_fn)(const BlockFloatCompander::CompressedData &dataIn, BlockFloatCompander::ExpandedData *dataOut)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00830">xran_compression.cpp:830</a></div></div>
95 <div class="ttc" id="xran__compression_8cpp_html_a0651de68e87558106615163f96b3e599"><div class="ttname"><a href="xran__compression_8cpp.html#a0651de68e87558106615163f96b3e599">xranlib_compress_avx512</a></div><div class="ttdeci">int32_t xranlib_compress_avx512(const struct xranlib_compress_request *request, struct xranlib_compress_response *response)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00729">xran_compression.cpp:729</a></div></div>
96 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_compressed_data_html_ad88e9475d4e269108bb716a1cf5f0d40"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_compressed_data.html#ad88e9475d4e269108bb716a1cf5f0d40">BlockFloatCompanderBFW::CompressedData::iqWidth</a></div><div class="ttdeci">int iqWidth</div><div class="ttdoc">Size of mantissa including sign bit. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00108">xran_compression.hpp:108</a></div></div>
97 <div class="ttc" id="namespace_block_float_compander_html_ae4ad42b117d59e2e7ff8fad2d5da506e"><div class="ttname"><a href="namespace_block_float_compander.html#ae4ad42b117d59e2e7ff8fad2d5da506e">BlockFloatCompander::BlockFloatExpand_8b_AVX512</a></div><div class="ttdeci">void BlockFloatExpand_8b_AVX512(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">8 bit expansion </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00467">xran_compression.cpp:467</a></div></div>
98 <div class="ttc" id="xran__compression_8cpp_html_a91aa9bdb6901711b43d848a4a5a94d2f"><div class="ttname"><a href="xran__compression_8cpp.html#a91aa9bdb6901711b43d848a4a5a94d2f">networkByteUnpack12b</a></div><div class="ttdeci">__m512i networkByteUnpack12b(const uint8_t *inData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00304">xran_compression.cpp:304</a></div></div>
99 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_compressed_data_html"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_compressed_data.html">BlockFloatCompanderBFW::CompressedData</a></div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00102">xran_compression.hpp:102</a></div></div>
100 <div class="ttc" id="structxranlib__compress__request_html"><div class="ttname"><a href="structxranlib__compress__request.html">xranlib_compress_request</a></div><div class="ttdoc">Request structure containing pointer to data and its length. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00037">xran_compression.h:37</a></div></div>
101 <div class="ttc" id="structxranlib__compress__request_html_a36f5a0cedd274c3ec55f81535f06e0de"><div class="ttname"><a href="structxranlib__compress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">xranlib_compress_request::iqWidth</a></div><div class="ttdeci">int16_t iqWidth</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00041">xran_compression.h:41</a></div></div>
102 <div class="ttc" id="xran__compression_8cpp_html_a2bd6ebeefb6ca9674598d443e697918c"><div class="ttname"><a href="xran__compression_8cpp.html#a2bd6ebeefb6ca9674598d443e697918c">xranlib_decompress_avx512</a></div><div class="ttdeci">int32_t xranlib_decompress_avx512(const struct xranlib_decompress_request *request, struct xranlib_decompress_response *response)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00834">xran_compression.cpp:834</a></div></div>
103 <div class="ttc" id="xran__compression_8cpp_html_afb29866152e84d42cd2e3bc116454493"><div class="ttname"><a href="xran__compression_8cpp.html#afb29866152e84d42cd2e3bc116454493">networkByteUnpack9b</a></div><div class="ttdeci">__m512i networkByteUnpack9b(const uint8_t *inData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00238">xran_compression.cpp:238</a></div></div>
104 <div class="ttc" id="namespace_block_float_compander_b_f_w_html_a5f4776cd07aac0ae2d9dbd02aaba3435"><div class="ttname"><a href="namespace_block_float_compander_b_f_w.html#a5f4776cd07aac0ae2d9dbd02aaba3435">BlockFloatCompanderBFW::BlockFloatExpand_Basic</a></div><div class="ttdeci">void BlockFloatExpand_Basic(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">Reference expansion. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00687">xran_compression.cpp:687</a></div></div>
105 <div class="ttc" id="namespace_block_float_compander_html_a32917a78ac1596d9aa95e4089ec88ba9"><div class="ttname"><a href="namespace_block_float_compander.html#a32917a78ac1596d9aa95e4089ec88ba9">BlockFloatCompander::BlockFloatExpand_9b_AVX512</a></div><div class="ttdeci">void BlockFloatExpand_9b_AVX512(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">9 bit expansion </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00486">xran_compression.cpp:486</a></div></div>
106 <div class="ttc" id="xran__compression_8cpp_html_a74512492194fcab6a55f769e02aa37b4"><div class="ttname"><a href="xran__compression_8cpp.html#a74512492194fcab6a55f769e02aa37b4">computeExponent</a></div><div class="ttdeci">void computeExponent(const BlockFloatCompander::ExpandedData &dataIn, int8_t *expStore)</div><div class="ttdoc">Compute exponent value for a set of RB from the maximum absolute value. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00044">xran_compression.cpp:44</a></div></div>
107 <div class="ttc" id="gen__test_8m_html_ae7c338f9b485676bfc0ee154384d8676"><div class="ttname"><a href="gen__test_8m.html#ae7c338f9b485676bfc0ee154384d8676">switch</a></div><div class="ttdeci">switch(bw) case</div><div class="ttdef"><b>Definition:</b> <a href="gen__test_8m_source.html#l00094">gen_test.m:94</a></div></div>
108 <div class="ttc" id="structxranlib__decompress__request_html_a36f5a0cedd274c3ec55f81535f06e0de"><div class="ttname"><a href="structxranlib__decompress__request.html#a36f5a0cedd274c3ec55f81535f06e0de">xranlib_decompress_request::iqWidth</a></div><div class="ttdeci">int16_t iqWidth</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00063">xran_compression.h:63</a></div></div>
109 <div class="ttc" id="structxranlib__compress__response_html"><div class="ttname"><a href="structxranlib__compress__response.html">xranlib_compress_response</a></div><div class="ttdoc">Response structure containing pointer to data and its length. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00049">xran_compression.h:49</a></div></div>
110 <div class="ttc" id="namespace_block_float_compander_html_a65b09b78fac0c8dcfc9edd5091b728dd"><div class="ttname"><a href="namespace_block_float_compander.html#a65b09b78fac0c8dcfc9edd5091b728dd">BlockFloatCompander::BlockFloatExpand_12b_AVX512</a></div><div class="ttdeci">void BlockFloatExpand_12b_AVX512(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">12 bit expansion </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00534">xran_compression.cpp:534</a></div></div>
111 <div class="ttc" id="struct_block_float_compander_1_1_compressed_data_html_ab2fd68d067a2e45c839584d0985a7953"><div class="ttname"><a href="struct_block_float_compander_1_1_compressed_data.html#ab2fd68d067a2e45c839584d0985a7953">BlockFloatCompander::CompressedData::dataCompressed</a></div><div class="ttdeci">CACHE_ALIGNED uint8_t * dataCompressed</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00064">xran_compression.hpp:64</a></div></div>
112 <div class="ttc" id="namespace_block_float_compander_html_a8fae7506e2b9c9f9365b306375ab6eff"><div class="ttname"><a href="namespace_block_float_compander.html#a8fae7506e2b9c9f9365b306375ab6eff">BlockFloatCompander::BlockFloatExpand_10b_AVX512</a></div><div class="ttdeci">void BlockFloatExpand_10b_AVX512(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">10 bit expansion </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00510">xran_compression.cpp:510</a></div></div>
113 <div class="ttc" id="xran__compression_8cpp_html_acb87fe08d3492b251e7a2561488064fa"><div class="ttname"><a href="xran__compression_8cpp.html#acb87fe08d3492b251e7a2561488064fa">networkBytePack9b</a></div><div class="ttdeci">__m512i networkBytePack9b(const __m512i compData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00127">xran_compression.cpp:127</a></div></div>
114 <div class="ttc" id="namespace_block_float_compander_html_a5b3ddd524752c8f556bc4c654e392321"><div class="ttname"><a href="namespace_block_float_compander.html#a5b3ddd524752c8f556bc4c654e392321">BlockFloatCompander::BlockFloatCompress_8b_AVX512</a></div><div class="ttdeci">void BlockFloatCompress_8b_AVX512(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">8 bit compression </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00335">xran_compression.cpp:335</a></div></div>
115 <div class="ttc" id="structxranlib__decompress__request_html_a8ab4fa409402862ead0d17e13edeeb62"><div class="ttname"><a href="structxranlib__decompress__request.html#a8ab4fa409402862ead0d17e13edeeb62">xranlib_decompress_request::numRBs</a></div><div class="ttdeci">int16_t numRBs</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00061">xran_compression.h:61</a></div></div>
116 <div class="ttc" id="struct_block_float_compander_1_1_expanded_data_html_a24d9d1d1b013179affb41be0424b8360"><div class="ttname"><a href="struct_block_float_compander_1_1_expanded_data.html#a24d9d1d1b013179affb41be0424b8360">BlockFloatCompander::ExpandedData::dataExpanded</a></div><div class="ttdeci">CACHE_ALIGNED int16_t * dataExpanded</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00073">xran_compression.hpp:73</a></div></div>
117 <div class="ttc" id="structxranlib__decompress__request_html_ab7543a52686c726e2f5575a0f53f883f"><div class="ttname"><a href="structxranlib__decompress__request.html#ab7543a52686c726e2f5575a0f53f883f">xranlib_decompress_request::data_in</a></div><div class="ttdeci">int8_t * data_in</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00060">xran_compression.h:60</a></div></div>
118 <div class="ttc" id="struct_block_float_compander_1_1_compressed_data_html"><div class="ttname"><a href="struct_block_float_compander_1_1_compressed_data.html">BlockFloatCompander::CompressedData</a></div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00060">xran_compression.hpp:60</a></div></div>
119 <div class="ttc" id="struct_block_float_compander_b_f_w_1_1_expanded_data_html"><div class="ttname"><a href="struct_block_float_compander_b_f_w_1_1_expanded_data.html">BlockFloatCompanderBFW::ExpandedData</a></div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8hpp_source.html#l00111">xran_compression.hpp:111</a></div></div>
120 <div class="ttc" id="xran__compression_8cpp_html_aafe7eae735c4ebf8f028e7baa6783c22"><div class="ttname"><a href="xran__compression_8cpp.html#aafe7eae735c4ebf8f028e7baa6783c22">networkBytePack12b</a></div><div class="ttdeci">__m512i networkBytePack12b(const __m512i compData)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00201">xran_compression.cpp:201</a></div></div>
121 <div class="ttc" id="structxranlib__compress__response_html_aa84b1c03297680b54ecd081d2a69d791"><div class="ttname"><a href="structxranlib__compress__response.html#aa84b1c03297680b54ecd081d2a69d791">xranlib_compress_response::data_out</a></div><div class="ttdeci">int8_t * data_out</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00050">xran_compression.h:50</a></div></div>
122 <div class="ttc" id="xran__compression_8cpp_html_aa027200fc051c80b515ee8aeadf44a0e"><div class="ttname"><a href="xran__compression_8cpp.html#aa027200fc051c80b515ee8aeadf44a0e">xranlib_compress_avx512_bfw</a></div><div class="ttdeci">int32_t xranlib_compress_avx512_bfw(const struct xranlib_compress_request *request, struct xranlib_compress_response *response)</div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00783">xran_compression.cpp:783</a></div></div>
123 <div class="ttc" id="namespace_block_float_compander_html_a45cc83687ca392534168cb8f4d64182f"><div class="ttname"><a href="namespace_block_float_compander.html#a45cc83687ca392534168cb8f4d64182f">BlockFloatCompander::BlockFloatCompress_Basic</a></div><div class="ttdeci">void BlockFloatCompress_Basic(const ExpandedData &dataIn, CompressedData *dataOut)</div><div class="ttdoc">Reference compression. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00558">xran_compression.cpp:558</a></div></div>
124 <div class="ttc" id="structxranlib__decompress__response_html"><div class="ttname"><a href="structxranlib__decompress__response.html">xranlib_decompress_response</a></div><div class="ttdoc">Response structure containing pointer to data and its length. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8h_source.html#l00072">xran_compression.h:72</a></div></div>
125 <div class="ttc" id="xran__compression_8hpp_html"><div class="ttname"><a href="xran__compression_8hpp.html">xran_compression.hpp</a></div></div>
126 <div class="ttc" id="namespace_block_float_compander_html_a5f4776cd07aac0ae2d9dbd02aaba3435"><div class="ttname"><a href="namespace_block_float_compander.html#a5f4776cd07aac0ae2d9dbd02aaba3435">BlockFloatCompander::BlockFloatExpand_Basic</a></div><div class="ttdeci">void BlockFloatExpand_Basic(const CompressedData &dataIn, ExpandedData *dataOut)</div><div class="ttdoc">Reference expansion. </div><div class="ttdef"><b>Definition:</b> <a href="xran__compression_8cpp_source.html#l00605">xran_compression.cpp:605</a></div></div>
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