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<a href="_convert_constants_8hpp.html">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 © 2017 Arm Ltd. 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="_optimization_8hpp.html">Optimization.hpp</a>&quot;</span></div><div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160;</div><div class="line"><a name="l00010"></a><span class="lineno"> 10</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_floating_point_converter_8hpp.html">armnnUtils/FloatingPointConverter.hpp</a>&gt;</span></div><div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;</div><div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_cpu_tensor_handle_8hpp.html">backendsCommon/CpuTensorHandle.hpp</a>&gt;</span></div><div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;</div><div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;<span class="preprocessor">#include &lt;boost/core/ignore_unused.hpp&gt;</span></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"> 16</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_half_8hpp.html">Half.hpp</a>&gt;</span></div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</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"> 20</span>&#160;<span class="keyword">namespace </span>optimizations</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;</div><div class="line"><a name="l00023"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float16_to_float32.html"> 23</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_float16_to_float32.html">Float16ToFloat32</a></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="structarmnn_1_1optimizations_1_1_float16_to_float32.html#a90848b29dabf6644d5e98b0ce8118a4f"> 25</a></span>&#160; <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_float16_to_float32.html#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr&lt;ScopedCpuTensorHandle&gt;&amp; handle)</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="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle-&gt;GetTensorInfo();</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>)</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; {</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; std::vector&lt;float&gt; newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160;</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; <a class="code" href="classarmnn_utils_1_1_floating_point_converter.html#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a>(handle-&gt;GetTensor&lt;<a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>&gt;(),</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; newValues.data());</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160;</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>);</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a>(newInput));</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; }</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;</div><div class="line"><a name="l00044"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html"> 44</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html">Float32ToFloat16</a></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"><a class="line" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html#a90848b29dabf6644d5e98b0ce8118a4f"> 46</a></span>&#160; <span class="keyword">static</span> <span class="keywordtype">void</span> <a class="code" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html#a90848b29dabf6644d5e98b0ce8118a4f">Func</a>(std::unique_ptr&lt;ScopedCpuTensorHandle&gt;&amp; handle)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a> = handle-&gt;GetTensorInfo();</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160;</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>)</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; {</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; std::vector&lt;Half&gt; newValues(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160;</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <a class="code" href="classarmnn_utils_1_1_floating_point_converter.html#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a>(handle-&gt;GetTensor&lt;<span class="keywordtype">float</span>&gt;(),</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; newValues.data());</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; <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> newInfo(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>);</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a> newInput(newInfo, newValues);</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160; handle.reset(<span class="keyword">new</span> <a class="code" href="classarmnn_1_1_scoped_cpu_tensor_handle.html">ScopedCpuTensorHandle</a>(newInput));</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; }</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;};</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160;</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> Converter, <span class="keyword">typename</span> Predicate&gt;</div><div class="line"><a name="l00066"></a><span class="lineno"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_constants.html"> 66</a></span>&#160;<span class="keyword">class </span><a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants</a> : <span class="keyword">public</span> <a class="code" href="classarmnn_1_1_optimization.html">Optimization</a></div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160;{</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160;<span class="keyword">public</span>:</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants</a>() = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants</a>&amp;) = <span class="keywordflow">default</span>;</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">virtual</span> ~<a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants</a>() = <span class="keywordflow">default</span>;</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"><a class="line" href="classarmnn_1_1optimizations_1_1_convert_constants.html#a47831303c57efc1f46d26934a3d773fb"> 73</a></span>&#160; <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html#a47831303c57efc1f46d26934a3d773fb">Run</a>(<a class="code" href="classarmnn_1_1_graph.html">Graph</a>&amp; graph, <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer)<span class="keyword"> const override</span></div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160;<span class="keyword"> </span>{</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; boost::ignore_unused(graph);</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">if</span> (Predicate::Test(layer))</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; layer.<a class="code" href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">OperateOnConstantTensors</a>(Converter::Func);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160;<span class="keyword">protected</span>:</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160;};</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160;</div><div class="line"><a name="l00084"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float32_layer.html"> 84</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_is_float32_layer.html">IsFloat32Layer</a></div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160;{</div><div class="line"><a name="l00086"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float32_layer.html#a4d870e13875a9a0a1cf09ba349904350"> 86</a></span>&#160; <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1optimizations_1_1_is_float32_layer.html#a4d870e13875a9a0a1cf09ba349904350">Test</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer)</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; {</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>;</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160;};</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;</div><div class="line"><a name="l00092"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float16_layer.html"> 92</a></span>&#160;<span class="keyword">struct </span><a class="code" href="structarmnn_1_1optimizations_1_1_is_float16_layer.html">IsFloat16Layer</a></div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160;{</div><div class="line"><a name="l00094"></a><span class="lineno"><a class="line" href="structarmnn_1_1optimizations_1_1_is_float16_layer.html#a4d870e13875a9a0a1cf09ba349904350"> 94</a></span>&#160; <span class="keyword">static</span> <span class="keywordtype">bool</span> <a class="code" href="structarmnn_1_1optimizations_1_1_is_float16_layer.html#a4d870e13875a9a0a1cf09ba349904350">Test</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_layer.html">Layer</a>&amp; layer)</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; {</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; <span class="keywordflow">return</span> layer.<a class="code" href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>;</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; }</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160;};</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160;</div><div class="line"><a name="l00100"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.html#a06cac66872538895dd6b59cdf39173d2"> 100</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstantsHalfToFloat</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants&lt;Float16ToFloat32, IsFloat32Layer&gt;</a>;</div><div class="line"><a name="l00101"></a><span class="lineno"><a class="line" href="namespacearmnn_1_1optimizations.html#a226cef3d775179e25ee35d231f4e8fae"> 101</a></span>&#160;<span class="keyword">using</span> <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstantsFloatToHalf</a> = <a class="code" href="classarmnn_1_1optimizations_1_1_convert_constants.html">ConvertConstants&lt;Float32ToFloat16, IsFloat16Layer&gt;</a>;</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160;} <span class="comment">//namespace optimizations</span></div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_float16_html_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_float16.html#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::Float32ToFloat16::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr&lt; ScopedCpuTensorHandle &gt; &amp;handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00046">ConvertConstants.hpp:46</a></div></div>
<div class="ttc" id="classarmnn_1_1optimizations_1_1_convert_constants_html_a47831303c57efc1f46d26934a3d773fb"><div class="ttname"><a href="classarmnn_1_1optimizations_1_1_convert_constants.html#a47831303c57efc1f46d26934a3d773fb">armnn::optimizations::ConvertConstants::Run</a></div><div class="ttdeci">void Run(Graph &amp;graph, Layer &amp;layer) const override</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00073">ConvertConstants.hpp:73</a></div></div>
<div class="ttc" id="classarmnn_1_1_optimization_html"><div class="ttname"><a href="classarmnn_1_1_optimization.html">armnn::Optimization</a></div><div class="ttdef"><b>Definition:</b> <a href="_optimization_8hpp_source.html#l00013">Optimization.hpp:13</a></div></div>
<div class="ttc" id="namespacearmnn_html_a0f38fa92b2468d5378258a2b074c1a31"><div class="ttname"><a href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00016">Half.hpp:16</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_float16_to_float32_html"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float16_to_float32.html">armnn::optimizations::Float16ToFloat32</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00023">ConvertConstants.hpp:23</a></div></div>
<div class="ttc" id="namespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html"><div class="ttname"><a href="classarmnn_1_1_layer.html">armnn::Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00209">Layer.hpp:209</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_float32_to_float16_html"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float32_to_float16.html">armnn::optimizations::Float32ToFloat16</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00044">ConvertConstants.hpp:44</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div>
<div class="ttc" id="_optimization_8hpp_html"><div class="ttname"><a href="_optimization_8hpp.html">Optimization.hpp</a></div></div>
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<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_layer.html#aea909c7327109228ef618d459015def3">armnn::Layer::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8cpp_source.html#l00272">Layer.cpp:272</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float32_layer_html_a4d870e13875a9a0a1cf09ba349904350"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float32_layer.html#a4d870e13875a9a0a1cf09ba349904350">armnn::optimizations::IsFloat32Layer::Test</a></div><div class="ttdeci">static bool Test(const Layer &amp;layer)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00086">ConvertConstants.hpp:86</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_html_ac1f1568f02163a68906a0030e0ba9871"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.html#ac1f1568f02163a68906a0030e0ba9871">armnnUtils::FloatingPointConverter::ConvertFloat16To32</a></div><div class="ttdeci">static void ConvertFloat16To32(const void *srcFloat16Buffer, size_t numElements, float *dstFloat32Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.html#l00030">FloatingPointConverter.cpp:30</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float32_layer_html"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float32_layer.html">armnn::optimizations::IsFloat32Layer</a></div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00084">ConvertConstants.hpp:84</a></div></div>
<div class="ttc" id="classarmnn_utils_1_1_floating_point_converter_html_af0fdbfb53596052d571cb73899f9da2b"><div class="ttname"><a href="classarmnn_utils_1_1_floating_point_converter.html#af0fdbfb53596052d571cb73899f9da2b">armnnUtils::FloatingPointConverter::ConvertFloat32To16</a></div><div class="ttdeci">static void ConvertFloat32To16(const float *srcFloat32Buffer, size_t numElements, void *dstFloat16Buffer)</div><div class="ttdef"><b>Definition:</b> <a href="_floating_point_converter_8cpp_source.html#l00015">FloatingPointConverter.cpp:15</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_is_float16_layer_html_a4d870e13875a9a0a1cf09ba349904350"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_is_float16_layer.html#a4d870e13875a9a0a1cf09ba349904350">armnn::optimizations::IsFloat16Layer::Test</a></div><div class="ttdeci">static bool Test(const Layer &amp;layer)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00094">ConvertConstants.hpp:94</a></div></div>
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<div class="ttc" id="_cpu_tensor_handle_8hpp_html"><div class="ttname"><a href="_cpu_tensor_handle_8hpp.html">CpuTensorHandle.hpp</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00093">Tensor.hpp:93</a></div></div>
<div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div></div>
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<div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
<div class="ttc" id="classarmnn_1_1_layer_html_a386acff5f8430245239ce58d00ba7576"><div class="ttname"><a href="classarmnn_1_1_layer.html#a386acff5f8430245239ce58d00ba7576">armnn::Layer::OperateOnConstantTensors</a></div><div class="ttdeci">void OperateOnConstantTensors(Op op)</div><div class="ttdef"><b>Definition:</b> <a href="_layer_8hpp_source.html#l00292">Layer.hpp:292</a></div></div>
<div class="ttc" id="structarmnn_1_1optimizations_1_1_float16_to_float32_html_a90848b29dabf6644d5e98b0ce8118a4f"><div class="ttname"><a href="structarmnn_1_1optimizations_1_1_float16_to_float32.html#a90848b29dabf6644d5e98b0ce8118a4f">armnn::optimizations::Float16ToFloat32::Func</a></div><div class="ttdeci">static void Func(std::unique_ptr&lt; ScopedCpuTensorHandle &gt; &amp;handle)</div><div class="ttdef"><b>Definition:</b> <a href="_convert_constants_8hpp_source.html#l00025">ConvertConstants.hpp:25</a></div></div>
<div class="ttc" id="classarmnn_1_1_scoped_cpu_tensor_handle_html"><div class="ttname"><a href="classarmnn_1_1_scoped_cpu_tensor_handle.html">armnn::ScopedCpuTensorHandle</a></div><div class="ttdef"><b>Definition:</b> <a href="_cpu_tensor_handle_8hpp_source.html#l00106">CpuTensorHandle.hpp:106</a></div></div>
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