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<div class="title">GEMMLowp.h</div> </div>
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<a href="_g_e_m_m_lowp_8h.xhtml">Go to the documentation of this file.</a><div class="fragment"><div class="line"><a name="l00001"></a><span class="lineno"> 1</span>&#160;<span class="comment">/*</span></div><div class="line"><a name="l00002"></a><span class="lineno"> 2</span>&#160;<span class="comment"> * Copyright (c) 2017-2019 ARM Limited.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment"> * SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="comment"> * Permission is hereby granted, free of charge, to any person obtaining a copy</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;<span class="comment"> * of this software and associated documentation files (the &quot;Software&quot;), to</span></div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="comment"> * deal in the Software without restriction, including without limitation the</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="comment"> * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="comment"> * sell copies of the Software, and to permit persons to whom the Software is</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="comment"> * furnished to do so, subject to the following conditions:</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="comment"> * The above copyright notice and this permission notice shall be included in all</span></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="comment"> * copies or substantial portions of the Software.</span></div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;<span class="comment"> *</span></div><div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="comment"> * THE SOFTWARE IS PROVIDED &quot;AS IS&quot;, WITHOUT WARRANTY OF ANY KIND, EXPRESS OR</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="comment"> * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,</span></div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="comment"> * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE</span></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="comment"> * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER</span></div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;<span class="comment"> * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,</span></div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;<span class="comment"> * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE</span></div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;<span class="comment"> * SOFTWARE.</span></div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160;<span class="comment"> */</span></div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="preprocessor">#ifndef __ARM_COMPUTE_TEST_GEMMLOWP_H__</span></div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;<span class="preprocessor">#define __ARM_COMPUTE_TEST_GEMMLOWP_H__</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_simple_tensor_8h.xhtml">tests/SimpleTensor.h</a>&quot;</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="tests_2validation_2_helpers_8h.xhtml">tests/validation/Helpers.h</a>&quot;</span></div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160;</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearm__compute.xhtml">arm_compute</a></div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160;{</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;<span class="keyword">namespace </span>test</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160;{</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160;<span class="keyword">namespace </span>validation</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;<span class="keyword">namespace </span>reference</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160;{</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160;SimpleTensor&lt;uint8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min = 0, int32_t max = 0);</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2&gt;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160;SimpleTensor&lt;T1&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74776be88be65092fe631a3313f46ab5">gemmlowp_matrix_multiply_core</a>(<span class="keyword">const</span> SimpleTensor&lt;T2&gt; &amp;a, <span class="keyword">const</span> SimpleTensor&lt;T2&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, TensorShape shape_c, int32_t a_offset, int32_t b_offset);</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;SimpleTensor&lt;uint8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift);</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T1, <span class="keyword">typename</span> T2&gt;</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160;SimpleTensor&lt;T1&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af18f21173e19d772347089a2839351b8">gemmlowp</a>(<span class="keyword">const</span> SimpleTensor&lt;T2&gt; &amp;a, <span class="keyword">const</span> SimpleTensor&lt;T2&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">b</a>, TensorShape shape_c);</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160;</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;SimpleTensor&lt;uint8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">gemmlowp_quantize_down_int32_to_uint8_scale</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, <span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, int32_t result_offset, int32_t result_mult_int, int32_t result_shift,</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; int32_t min = 0, int32_t max = 0);</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160;</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160;SimpleTensor&lt;uint8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; int32_t result_offset_after_shift,</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; int32_t min = 0, int32_t max = 0);</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160;SimpleTensor&lt;uint8_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105">gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, <span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; int32_t result_offset_after_shift, int32_t min = 0, int32_t max = 0);</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;SimpleTensor&lt;int16_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a344296b0ad06f8e867f95658d59ecdeb">gemmlowp_quantize_down_int32_to_int16_scale_by_fixedpoint</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift,</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; int32_t min, int32_t max);</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;<span class="keyword">template</span> &lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160;SimpleTensor&lt;int16_t&gt; <a class="code" href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a344296b0ad06f8e867f95658d59ecdeb">gemmlowp_quantize_down_int32_to_int16_scale_by_fixedpoint</a>(<span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;in, <span class="keyword">const</span> SimpleTensor&lt;T&gt; &amp;<a class="code" href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">bias</a>, int32_t result_fixedpoint_multiplier,</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; int32_t result_shift, int32_t min, int32_t max);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;} <span class="comment">// namespace reference</span></div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;} <span class="comment">// namespace validation</span></div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160;} <span class="comment">// namespace test</span></div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160;} <span class="comment">// namespace arm_compute</span></div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;<span class="preprocessor">#endif </span><span class="comment">/* __ARM_COMPUTE_TEST_GEMMLOWP_H__ */</span><span class="preprocessor"></span></div><div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_aa76b4a6e74940dabc5b7fc6b2dab3545"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#aa76b4a6e74940dabc5b7fc6b2dab3545">arm_compute::test::validation::b</a></div><div class="ttdeci">SimpleTensor&lt; float &gt; b</div><div class="ttdef"><b>Definition:</b> <a href="_c_p_p_2_d_f_t_8cpp_source.xhtml#l00157">DFT.cpp:157</a></div></div>
<div class="ttc" id="tests_2validation_2_helpers_8h_xhtml"><div class="ttname"><a href="tests_2validation_2_helpers_8h.xhtml">Helpers.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a344296b0ad06f8e867f95658d59ecdeb"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a344296b0ad06f8e867f95658d59ecdeb">arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_int16_scale_by_fixedpoint</a></div><div class="ttdeci">SimpleTensor&lt; int16_t &gt; gemmlowp_quantize_down_int32_to_int16_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t min, int32_t max)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00233">GEMMLowp.cpp:233</a></div></div>
<div class="ttc" id="namespacearm__compute_xhtml"><div class="ttname"><a href="namespacearm__compute.xhtml">arm_compute</a></div><div class="ttdoc">Copyright (c) 2017-2018 ARM Limited.</div><div class="ttdef"><b>Definition:</b> <a href="00__introduction_8dox_source.xhtml#l00024">00_introduction.dox:24</a></div></div>
<div class="ttc" id="_simple_tensor_8h_xhtml"><div class="ttname"><a href="_simple_tensor_8h.xhtml">SimpleTensor.h</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a74776be88be65092fe631a3313f46ab5"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a74776be88be65092fe631a3313f46ab5">arm_compute::test::validation::reference::gemmlowp_matrix_multiply_core</a></div><div class="ttdeci">SimpleTensor&lt; T_out &gt; gemmlowp_matrix_multiply_core(const SimpleTensor&lt; T_in &gt; &amp;a, const SimpleTensor&lt; T_in &gt; &amp;b, TensorShape shape_c, int32_t a_offset, int32_t b_offset)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00129">GEMMLowp.cpp:129</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_a06197dfafd5455257cec13e414cce105"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#a06197dfafd5455257cec13e414cce105">arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; gemmlowp_quantize_down_int32_to_uint8_scale_by_fixedpoint(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_fixedpoint_multiplier, int32_t result_shift, int32_t result_offset_after_shift, int32_t min, int32_t max)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00210">GEMMLowp.cpp:210</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_xhtml_a3a77be8aebd8e00522b32061d46ccdbd"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation.xhtml#a3a77be8aebd8e00522b32061d46ccdbd">arm_compute::test::validation::bias</a></div><div class="ttdeci">CLTensor bias</div><div class="ttdef"><b>Definition:</b> <a href="validation_2_c_l_2_convolution_layer_8cpp_source.xhtml#l00181">ConvolutionLayer.cpp:181</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_aa74f872dcd4daaaa3ef53e8ab628b606"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#aa74f872dcd4daaaa3ef53e8ab628b606">arm_compute::test::validation::reference::gemmlowp_quantize_down_int32_to_uint8_scale</a></div><div class="ttdeci">SimpleTensor&lt; uint8_t &gt; gemmlowp_quantize_down_int32_to_uint8_scale(const SimpleTensor&lt; T &gt; &amp;in, int32_t result_offset, int32_t result_mult_int, int32_t result_shift, int32_t min, int32_t max)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00189">GEMMLowp.cpp:189</a></div></div>
<div class="ttc" id="namespacearm__compute_1_1test_1_1validation_1_1reference_xhtml_af18f21173e19d772347089a2839351b8"><div class="ttname"><a href="namespacearm__compute_1_1test_1_1validation_1_1reference.xhtml#af18f21173e19d772347089a2839351b8">arm_compute::test::validation::reference::gemmlowp</a></div><div class="ttdeci">SimpleTensor&lt; T1 &gt; gemmlowp(const SimpleTensor&lt; T2 &gt; &amp;a, const SimpleTensor&lt; T2 &gt; &amp;b, TensorShape shape_c)</div><div class="ttdef"><b>Definition:</b> <a href="validation_2reference_2_g_e_m_m_lowp_8cpp_source.xhtml#l00183">GEMMLowp.cpp:183</a></div></div>
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<li class="navelem"><a class="el" href="dir_59425e443f801f1f2fd8bbe4959a3ccf.xhtml">tests</a></li><li class="navelem"><a class="el" href="dir_e7c7b16542faa38cb4655ff1750d3604.xhtml">validation</a></li><li class="navelem"><a class="el" href="dir_46fdb196cebdbffe77dac340cde62f29.xhtml">reference</a></li><li class="navelem"><a class="el" href="_g_e_m_m_lowp_8h.xhtml">GEMMLowp.h</a></li>
<li class="footer">Generated on Mon Sep 2 2019 11:47:28 for Compute Library by
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