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101<a href="_batch_mat_mul_impl_8hpp.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 © 2022 Arm Ltd and Contributors. All rights reserved.</span></div><div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div><div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div><div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160;</div><div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div><div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160;</div><div class="line"><a name="l00008"></a><span class="lineno"> 8</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_encoders_8hpp.xhtml">Encoders.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;<span class="preprocessor">#include &quot;<a class="code" href="_decoders_8hpp.xhtml">Decoders.hpp</a>&quot;</span></div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;</div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="include_2armnn_2backends_2_workload_data_8hpp.xhtml">armnn/backends/WorkloadData.hpp</a>&gt;</span></div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;</div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.xhtml">armnn</a></div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div><div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160;</div><div class="line"><a name="l00016"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml"> 16</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml">BatchMatMul</a> {</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00018"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3"> 18</a></span>&#160; <span class="keyword">enum</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">DataSlot</a></div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160; {</div><div class="line"><a name="l00020"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ab185a324f4a4f8537042ac52a4fe3e8c"> 20</a></span>&#160; <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ab185a324f4a4f8537042ac52a4fe3e8c">InputX</a> = 0,</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3a75a64785d5f1284ffa5d930140a5a0ef"> 21</a></span>&#160; <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3a75a64785d5f1284ffa5d930140a5a0ef">InputY</a> = 1,</div><div class="line"><a name="l00022"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ae18e94624772459b0083ef7cc362fc96"> 22</a></span>&#160; <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ae18e94624772459b0083ef7cc362fc96">Output</a> = 2</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; };</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno"><a class="line" href="classarmnn_1_1_batch_mat_mul.xhtml#a7c4e7bac563e596b1a775dd7e19b9e7f"> 25</a></span>&#160; <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a7c4e7bac563e596b1a775dd7e19b9e7f">BatchMatMul</a>(<span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; params,</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputXInfo,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputYInfo,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputXDecoder,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputYDecoder,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder&lt;float&gt;</a>&amp; outputEncoder)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; : params(params),</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; inputXInfo(inputXInfo),</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; inputYInfo(inputYInfo),</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; outputInfo(outputInfo),</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; inputXDecoder(inputXDecoder),</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; inputYDecoder(inputYDecoder),</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; outputEncoder(outputEncoder)</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; {}</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160;</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a188b8d270e02af10e876e60e54e7587c">BatchMatMulImpl</a>();</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="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#af989fe83accce35c5072407e82a7063e">RecurseBMM</a>(std::vector&lt;unsigned int&gt;&amp; curIdx, <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> curDim);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="comment">// Adjusts it for when input tensors are of unequal rank</span></div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#ae15c1a71e9465ac3698f32a572746804">AdjustAxesToMulForUnequalRanks</a>(</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; std::pair&lt;std::pair&lt;unsigned int, unsigned int&gt;, std::pair&lt;unsigned int, unsigned int&gt;&gt;&amp; axesToMul);</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="keywordtype">float</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a47068479ce7cab2a3d7c3e1ae53cf760">GetValueAt</a>(<a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">DataSlot</a> type, std::vector&lt;unsigned int&gt; idx);</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160;</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a23985d27f79a44c973bd1e0c2633c191">SetValueAt</a>(<span class="keywordtype">float</span> value, <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">DataSlot</a> type, std::vector&lt;unsigned int&gt; idx);</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="comment">// Takes into account broadcasting</span></div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a0664b61334b45316933938fa4514a387">AdjustToSafeIdx</a>(<a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">DataSlot</a> type, std::vector&lt;unsigned int&gt;&amp; idx);</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160;</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#af390ba429c0633b64e71f4228bdbbadf">CalcFlatIdx</a>(<a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">DataSlot</a> type, <span class="keyword">const</span> std::vector&lt;unsigned int&gt;&amp; idx);</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; std::string <a class="code" href="classarmnn_1_1_batch_mat_mul.xhtml#a139ced0af01e092a71f47d443ef75d74">StringifyVec</a>(<span class="keyword">const</span> std::vector&lt;T&gt;&amp; vec);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keyword">private</span>:</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">const</span> <a class="code" href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">BatchMatMulDescriptor</a>&amp; params;</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputXInfo;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; inputYInfo;</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>&amp; outputInfo;</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputXDecoder;</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <a class="code" href="classarmnn_1_1_decoder.xhtml">Decoder&lt;float&gt;</a>&amp; inputYDecoder;</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <a class="code" href="classarmnn_1_1_encoder.xhtml">Encoder&lt;float&gt;</a>&amp; outputEncoder;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; std::vector&lt;float&gt; inputXData;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; std::vector&lt;float&gt; inputYData;</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160;};</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160;} <span class="comment">// namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_af390ba429c0633b64e71f4228bdbbadf"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#af390ba429c0633b64e71f4228bdbbadf">armnn::BatchMatMul::CalcFlatIdx</a></div><div class="ttdeci">unsigned int CalcFlatIdx(DataSlot type, const std::vector&lt; unsigned int &gt; &amp;idx)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00186">BatchMatMulImpl.cpp:186</a></div></div>
102<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml">armnn::BatchMatMul</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00016">BatchMatMulImpl.hpp:16</a></div></div>
103<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a34243d3189830ed8c4d5cb077e68ccb3a75a64785d5f1284ffa5d930140a5a0ef"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3a75a64785d5f1284ffa5d930140a5a0ef">armnn::BatchMatMul::InputY</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00021">BatchMatMulImpl.hpp:21</a></div></div>
104<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
105<div class="ttc" id="classarmnn_1_1_encoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_encoder.xhtml">armnn::Encoder&lt; float &gt;</a></div></div>
106<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a0664b61334b45316933938fa4514a387"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a0664b61334b45316933938fa4514a387">armnn::BatchMatMul::AdjustToSafeIdx</a></div><div class="ttdeci">void AdjustToSafeIdx(DataSlot type, std::vector&lt; unsigned int &gt; &amp;idx)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00147">BatchMatMulImpl.cpp:147</a></div></div>
107<div class="ttc" id="namespacearmnn_xhtml"><div class="ttname"><a href="namespacearmnn.xhtml">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors. </div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.xhtml#l00006">01_00_quick_start.dox:6</a></div></div>
108<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a34243d3189830ed8c4d5cb077e68ccb3"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3">armnn::BatchMatMul::DataSlot</a></div><div class="ttdeci">DataSlot</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00018">BatchMatMulImpl.hpp:18</a></div></div>
109<div class="ttc" id="_encoders_8hpp_xhtml"><div class="ttname"><a href="_encoders_8hpp.xhtml">Encoders.hpp</a></div></div>
110<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a188b8d270e02af10e876e60e54e7587c"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a188b8d270e02af10e876e60e54e7587c">armnn::BatchMatMul::BatchMatMulImpl</a></div><div class="ttdeci">void BatchMatMulImpl()</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00014">BatchMatMulImpl.cpp:14</a></div></div>
111<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a139ced0af01e092a71f47d443ef75d74"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a139ced0af01e092a71f47d443ef75d74">armnn::BatchMatMul::StringifyVec</a></div><div class="ttdeci">std::string StringifyVec(const std::vector&lt; T &gt; &amp;vec)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00219">BatchMatMulImpl.cpp:219</a></div></div>
112<div class="ttc" id="_decoders_8hpp_xhtml"><div class="ttname"><a href="_decoders_8hpp.xhtml">Decoders.hpp</a></div></div>
113<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a7c4e7bac563e596b1a775dd7e19b9e7f"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a7c4e7bac563e596b1a775dd7e19b9e7f">armnn::BatchMatMul::BatchMatMul</a></div><div class="ttdeci">BatchMatMul(const BatchMatMulDescriptor &amp;params, const TensorInfo &amp;inputXInfo, const TensorInfo &amp;inputYInfo, const TensorInfo &amp;outputInfo, Decoder&lt; float &gt; &amp;inputXDecoder, Decoder&lt; float &gt; &amp;inputYDecoder, Encoder&lt; float &gt; &amp;outputEncoder)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00025">BatchMatMulImpl.hpp:25</a></div></div>
114<div class="ttc" id="structarmnn_1_1_batch_mat_mul_descriptor_xhtml"><div class="ttname"><a href="structarmnn_1_1_batch_mat_mul_descriptor.xhtml">armnn::BatchMatMulDescriptor</a></div><div class="ttdoc">A BatchMatMulDescriptor for the BatchMatMul operator. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.xhtml#l01554">Descriptors.hpp:1554</a></div></div>
115<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a34243d3189830ed8c4d5cb077e68ccb3ae18e94624772459b0083ef7cc362fc96"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ae18e94624772459b0083ef7cc362fc96">armnn::BatchMatMul::Output</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00022">BatchMatMulImpl.hpp:22</a></div></div>
116<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_af989fe83accce35c5072407e82a7063e"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#af989fe83accce35c5072407e82a7063e">armnn::BatchMatMul::RecurseBMM</a></div><div class="ttdeci">void RecurseBMM(std::vector&lt; unsigned int &gt; &amp;curIdx, unsigned int curDim)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00029">BatchMatMulImpl.cpp:29</a></div></div>
117<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_ae15c1a71e9465ac3698f32a572746804"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#ae15c1a71e9465ac3698f32a572746804">armnn::BatchMatMul::AdjustAxesToMulForUnequalRanks</a></div><div class="ttdeci">void AdjustAxesToMulForUnequalRanks(std::pair&lt; std::pair&lt; unsigned int, unsigned int &gt;, std::pair&lt; unsigned int, unsigned int &gt;&gt; &amp;axesToMul)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00073">BatchMatMulImpl.cpp:73</a></div></div>
118<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a23985d27f79a44c973bd1e0c2633c191"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a23985d27f79a44c973bd1e0c2633c191">armnn::BatchMatMul::SetValueAt</a></div><div class="ttdeci">void SetValueAt(float value, DataSlot type, std::vector&lt; unsigned int &gt; idx)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00124">BatchMatMulImpl.cpp:124</a></div></div>
119<div class="ttc" id="include_2armnn_2backends_2_workload_data_8hpp_xhtml"><div class="ttname"><a href="include_2armnn_2backends_2_workload_data_8hpp.xhtml">WorkloadData.hpp</a></div></div>
120<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a34243d3189830ed8c4d5cb077e68ccb3ab185a324f4a4f8537042ac52a4fe3e8c"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a34243d3189830ed8c4d5cb077e68ccb3ab185a324f4a4f8537042ac52a4fe3e8c">armnn::BatchMatMul::InputX</a></div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8hpp_source.xhtml#l00020">BatchMatMulImpl.hpp:20</a></div></div>
121<div class="ttc" id="classarmnn_1_1_batch_mat_mul_xhtml_a47068479ce7cab2a3d7c3e1ae53cf760"><div class="ttname"><a href="classarmnn_1_1_batch_mat_mul.xhtml#a47068479ce7cab2a3d7c3e1ae53cf760">armnn::BatchMatMul::GetValueAt</a></div><div class="ttdeci">float GetValueAt(DataSlot type, std::vector&lt; unsigned int &gt; idx)</div><div class="ttdef"><b>Definition:</b> <a href="_batch_mat_mul_impl_8cpp_source.xhtml#l00096">BatchMatMulImpl.cpp:96</a></div></div>
122<div class="ttc" id="classarmnn_1_1_decoder_xhtml"><div class="ttname"><a href="classarmnn_1_1_decoder.xhtml">armnn::Decoder&lt; float &gt;</a></div></div>
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