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<div class="title">Encoders.hpp</div> </div>
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<a href="_encoders_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="_base_iterator_8hpp.html">BaseIterator.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="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.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;boost/assert.hpp&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="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></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;</div><div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div><div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Encoder&lt;T&gt;&gt; <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keywordtype">void</span>* data = <span class="keyword">nullptr</span>);</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">template</span>&lt;&gt;</div><div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a363da7c8d642ea382e3bd2f1c6283d52"> 21</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Encoder&lt;float&gt;&gt; <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info, <span class="keywordtype">void</span>* data)</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"> 23</span>&#160; <span class="keywordflow">switch</span>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</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"> 25</span>&#160; <a class="code" href="_deprecated_8hpp.html#ab66a241a0ed3ee89c866e777b035d0ed">ARMNN_NO_DEPRECATE_WARN_BEGIN</a></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a34346ec9593088efe3a29c0dad92166d">armnn::DataType::QuantizedSymm8PerAxis</a>:</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; {</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; std::pair&lt;unsigned int, std::vector&lt;float&gt;&gt; params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(info);</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymm8PerAxisEncoder&gt;(</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; params.second,</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; params.first);</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; <a class="code" href="_deprecated_8hpp.html#ad762b11b48e5c1d1c1743f529485728a">ARMNN_NO_DEPRECATE_WARN_END</a></div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</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; <span class="keywordflow">return</span> std::make_unique&lt;QASymmS8Encoder&gt;(</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</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"> 44</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QASymm8Encoder&gt;(</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</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="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</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; std::pair&lt;unsigned int, std::vector&lt;float&gt;&gt; params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(info);</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymm8PerAxisEncoder&gt;(</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160; params.second,</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; params.first);</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160; }</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; <span class="keywordflow">else</span></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="keywordflow">return</span> std::make_unique&lt;QSymmS8Encoder&gt;(</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; <span class="keyword">static_cast&lt;</span>int8_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160; }</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; }</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; {</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymm16Encoder&gt;(</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keyword">static_cast&lt;</span>int16_t*<span class="keyword">&gt;</span>(data),</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; info.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Int32Encoder&gt;(<span class="keyword">static_cast&lt;</span>int32_t*<span class="keyword">&gt;</span>(data));</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; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</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; <span class="keywordflow">return</span> std::make_unique&lt;Float16Encoder&gt;(<span class="keyword">static_cast&lt;</span><a class="code" href="namespacearmnn.html#a0f38fa92b2468d5378258a2b074c1a31">Half</a>*<span class="keyword">&gt;</span>(data));</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</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"> 84</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Float32Encoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(data));</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"> 86</span>&#160; <span class="keywordflow">default</span>:</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; BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;Unsupported target Data Type!&quot;</span>);</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">break</span>;</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"> 92</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</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"> 94</span>&#160;</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160;<span class="keyword">template</span>&lt;&gt;</div><div class="line"><a name="l00096"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a6fcd01a9cdee158d3022ad089c27c078"> 96</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Encoder&lt;bool&gt;&gt; <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info, <span class="keywordtype">void</span>* data)</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; <span class="keywordflow">switch</span>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>())</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"> 100</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; {</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;BooleanEncoder&gt;(<span class="keyword">static_cast&lt;</span>uint8_t*<span class="keyword">&gt;</span>(data));</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; }</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; <span class="keywordflow">default</span>:</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160; {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; BOOST_ASSERT_MSG(<span class="keyword">false</span>, <span class="stringliteral">&quot;Cannot encode from boolean. Not supported target Data Type!&quot;</span>);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; <span class="keywordflow">break</span>;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160;}</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160;} <span class="comment">//namespace armnn</span></div><div class="ttc" id="classarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00232">Tensor.cpp:232</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_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00264">Tensor.cpp:264</a></div></div>
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