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96<div class="title">Decoders.hpp</div> </div>
97</div><!--header-->
98<div class="contents">
99<a href="_decoders_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>
100<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>
101<div class="line"><a name="l00003"></a><span class="lineno"> 3</span>&#160;<span class="comment">// SPDX-License-Identifier: MIT</span></div>
102<div class="line"><a name="l00004"></a><span class="lineno"> 4</span>&#160;<span class="comment">//</span></div>
103<div class="line"><a name="l00005"></a><span class="lineno"> 5</span>&#160; </div>
104<div class="line"><a name="l00006"></a><span class="lineno"> 6</span>&#160;<span class="preprocessor">#pragma once</span></div>
105<div class="line"><a name="l00007"></a><span class="lineno"> 7</span>&#160; </div>
106<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>
107<div class="line"><a name="l00009"></a><span class="lineno"> 9</span>&#160; </div>
108<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>
109<div class="line"><a name="l00011"></a><span class="lineno"> 11</span>&#160;<span class="preprocessor">#include &lt;<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>&gt;</span></div>
110<div class="line"><a name="l00012"></a><span class="lineno"> 12</span>&#160; </div>
111<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>&#160;<span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div>
112<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>&#160;{</div>
113<div class="line"><a name="l00015"></a><span class="lineno"> 15</span>&#160; </div>
114<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>&#160;<span class="keyword">namespace</span></div>
115<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>&#160;{</div>
116<div class="line"><a name="l00018"></a><span class="lineno"> 18</span>&#160; </div>
117<div class="line"><a name="l00019"></a><span class="lineno"> 19</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;float&gt;&gt; MakeSigned32PerAxisDecoder(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
118<div class="line"><a name="l00020"></a><span class="lineno"> 20</span>&#160;{</div>
119<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;ScaledInt32PerAxisDecoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(data), info);</div>
120<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>&#160;}</div>
121<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>&#160; </div>
122<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;float&gt;&gt; MakeSigned32Decoder(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
123<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>&#160;{</div>
124<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>&#160; <span class="keywordflow">if</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasMultipleQuantizationScales())</div>
125<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>&#160; {</div>
126<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>&#160; <span class="comment">// NOTE: If we have multiple quantization scales, we create a ScaledInt32PerAxisDecoder.</span></div>
127<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>&#160; <span class="comment">// This will be used to decode per-axis quantized convolution biases.</span></div>
128<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>&#160; <span class="keywordflow">return</span> MakeSigned32PerAxisDecoder(info, data);</div>
129<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>&#160; }</div>
130<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>&#160; <span class="keywordflow">else</span></div>
131<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>&#160; {</div>
132<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationDim().has_value())</div>
133<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>&#160; {</div>
134<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>&#160; <span class="comment">// NOTE: Even though we only have a single quantization scale, if the quantization</span></div>
135<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>&#160; <span class="comment">// dimension is set, the tensor has per-axis quantization and we need to create a</span></div>
136<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>&#160; <span class="comment">// ScaledInt32PerAxisDecoder</span></div>
137<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>&#160; <span class="keywordflow">return</span> MakeSigned32PerAxisDecoder(info, data);</div>
138<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>&#160; }</div>
139<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>&#160; </div>
140<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>&#160; <span class="keyword">const</span> <span class="keywordtype">float</span> scale = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale();</div>
141<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>&#160; <span class="keywordflow">if</span> (scale == 0.f)</div>
142<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>&#160; {</div>
143<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>&#160; <span class="comment">// NOTE:: If no quantization scale is set, we create an Int32Decoder, which simply</span></div>
144<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>&#160; <span class="comment">// casts the int value to float. This will be used for any INT32 data other than</span></div>
145<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>&#160; <span class="comment">// convolution biases.</span></div>
146<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Int32Decoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(data));</div>
147<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>&#160; }</div>
148<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>&#160; </div>
149<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>&#160; <span class="comment">// NOTE: If we only have a single (non-zero) quantization scale and no quantization</span></div>
150<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>&#160; <span class="comment">// dimension is specified, we need to create a ScaledInt32Decoder. This will be used</span></div>
151<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>&#160; <span class="comment">// to decode per-tensor quantized convolution biases.</span></div>
152<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;ScaledInt32Decoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(data), scale);</div>
153<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>&#160; }</div>
154<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>&#160;}</div>
155<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>&#160; </div>
156<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>&#160;} <span class="comment">// anonymous namespace</span></div>
157<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>&#160; </div>
158<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>&#160;<span class="keyword">template</span>&lt;<span class="keyword">typename</span> T&gt;</div>
159<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;T&gt;&gt; <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data = <span class="keyword">nullptr</span>);</div>
160<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>&#160; </div>
161<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
162<div class="line"><a name="l00064"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a8cb12db00d6e4ab4ac5ccfa6e7a69374"> 64</a></span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;float&gt;&gt; <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
163<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>&#160;{</div>
164<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>&#160; <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div>
165<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>&#160; {</div>
166<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">DataType::QAsymmS8</a>:</div>
167<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>&#160; {</div>
168<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QASymmS8Decoder&gt;(</div>
169<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int8_t*<span class="keyword">&gt;</span>(data),</div>
170<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div>
171<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
172<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>&#160; }</div>
173<div class="line"><a name="l00075"></a><span class="lineno"> 75</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">DataType::QAsymmU8</a>:</div>
174<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>&#160; {</div>
175<div class="line"><a name="l00077"></a><span class="lineno"> 77</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QASymm8Decoder&gt;(</div>
176<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(data),</div>
177<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div>
178<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
179<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>&#160; }</div>
180<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">DataType::QSymmS16</a>:</div>
181<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>&#160; {</div>
182<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymm16Decoder&gt;(</div>
183<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int16_t*<span class="keyword">&gt;</span>(data),</div>
184<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div>
185<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
186<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>&#160; }</div>
187<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">DataType::Float16</a>:</div>
188<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>&#160; {</div>
189<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Float16Decoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>*<span class="keyword">&gt;</span>(data));</div>
190<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; }</div>
191<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">DataType::Float32</a>:</div>
192<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; {</div>
193<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Float32Decoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">&gt;</span>(data));</div>
194<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; }</div>
195<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>:</div>
196<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; {</div>
197<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="keywordflow">return</span> MakeSigned32Decoder(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>, data);</div>
198<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; }</div>
199<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div>
200<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; {</div>
201<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization())</div>
202<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; {</div>
203<div class="line"><a name="l00105"></a><span class="lineno"> 105</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>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
204<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymm8PerAxisDecoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int8_t*<span class="keyword">&gt;</span>(data), <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div>
205<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>&#160; }</div>
206<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>&#160; <span class="keywordflow">else</span></div>
207<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>&#160; {</div>
208<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;QSymmS8Decoder&gt;(</div>
209<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>&#160; <span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int8_t*<span class="keyword">&gt;</span>(data),</div>
210<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div>
211<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>&#160; <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div>
212<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>&#160; }</div>
213<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>&#160; }</div>
214<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div>
215<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>&#160; {</div>
216<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;BooleanDecoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(data));</div>
217<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>&#160; }</div>
218<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>&#160; <span class="keywordflow">default</span>:</div>
219<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>&#160; {</div>
220<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>&#160; <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unsupported target Data Type!&quot;</span>);</div>
221<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>&#160; <span class="keywordflow">break</span>;</div>
222<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>&#160; }</div>
223<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>&#160; }</div>
224<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
225<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>&#160;}</div>
226<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>&#160; </div>
227<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
228<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;double_t&gt;&gt; <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
229<div class="line"><a name="l00131"></a><span class="lineno"> 131</span>&#160;{</div>
230<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>&#160; <span class="keywordflow">switch</span>(info.GetDataType())</div>
231<div class="line"><a name="l00133"></a><span class="lineno"> 133</span>&#160; {</div>
232<div class="line"><a name="l00134"></a><span class="lineno"> 134</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">DataType::Signed64</a>:</div>
233<div class="line"><a name="l00135"></a><span class="lineno"> 135</span>&#160; {</div>
234<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Int64Decoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int64_t*<span class="keyword">&gt;</span>(data));</div>
235<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>&#160; }</div>
236<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>&#160; <span class="keywordflow">default</span>:</div>
237<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>&#160; {</div>
238<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Cannot decode to double. Unsupported origin Data Type!&quot;</span>);</div>
239<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>&#160; <span class="keywordflow">break</span>;</div>
240<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>&#160; }</div>
241<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>&#160; }</div>
242<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
243<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>&#160;}</div>
244<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>&#160; </div>
245<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
246<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;bool&gt;&gt; <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
247<div class="line"><a name="l00149"></a><span class="lineno"> 149</span>&#160;{</div>
248<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>&#160; <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div>
249<div class="line"><a name="l00151"></a><span class="lineno"> 151</span>&#160; {</div>
250<div class="line"><a name="l00152"></a><span class="lineno"> 152</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">DataType::Boolean</a>:</div>
251<div class="line"><a name="l00153"></a><span class="lineno"> 153</span>&#160; {</div>
252<div class="line"><a name="l00154"></a><span class="lineno"> 154</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;BooleanDecoderBool&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>uint8_t*<span class="keyword">&gt;</span>(data));</div>
253<div class="line"><a name="l00155"></a><span class="lineno"> 155</span>&#160; }</div>
254<div class="line"><a name="l00156"></a><span class="lineno"> 156</span>&#160; <span class="keywordflow">default</span>:</div>
255<div class="line"><a name="l00157"></a><span class="lineno"> 157</span>&#160; {</div>
256<div class="line"><a name="l00158"></a><span class="lineno"> 158</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Cannot decode to bool. Unsupported origin Data Type!&quot;</span>);</div>
257<div class="line"><a name="l00159"></a><span class="lineno"> 159</span>&#160; <span class="keywordflow">break</span>;</div>
258<div class="line"><a name="l00160"></a><span class="lineno"> 160</span>&#160; }</div>
259<div class="line"><a name="l00161"></a><span class="lineno"> 161</span>&#160; }</div>
260<div class="line"><a name="l00162"></a><span class="lineno"> 162</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
261<div class="line"><a name="l00163"></a><span class="lineno"> 163</span>&#160;}</div>
262<div class="line"><a name="l00164"></a><span class="lineno"> 164</span>&#160; </div>
263<div class="line"><a name="l00165"></a><span class="lineno"> 165</span>&#160;<span class="keyword">template</span>&lt;&gt;</div>
264<div class="line"><a name="l00166"></a><span class="lineno"> 166</span>&#160;<span class="keyword">inline</span> std::unique_ptr&lt;Decoder&lt;int32_t&gt;&gt; <a class="code" href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">MakeDecoder</a>(<span class="keyword">const</span> TensorInfo&amp; info, <span class="keyword">const</span> <span class="keywordtype">void</span>* data)</div>
265<div class="line"><a name="l00167"></a><span class="lineno"> 167</span>&#160;{</div>
266<div class="line"><a name="l00168"></a><span class="lineno"> 168</span>&#160; <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div>
267<div class="line"><a name="l00169"></a><span class="lineno"> 169</span>&#160; {</div>
268<div class="line"><a name="l00170"></a><span class="lineno"> 170</span>&#160; <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>:</div>
269<div class="line"><a name="l00171"></a><span class="lineno"> 171</span>&#160; {</div>
270<div class="line"><a name="l00172"></a><span class="lineno"> 172</span>&#160; <span class="keywordflow">return</span> std::make_unique&lt;Int32ToInt32tDecoder&gt;(<span class="keyword">static_cast&lt;</span><span class="keyword">const </span>int32_t*<span class="keyword">&gt;</span>(data));</div>
271<div class="line"><a name="l00173"></a><span class="lineno"> 173</span>&#160; }</div>
272<div class="line"><a name="l00174"></a><span class="lineno"> 174</span>&#160; <span class="keywordflow">default</span>:</div>
273<div class="line"><a name="l00175"></a><span class="lineno"> 175</span>&#160; {</div>
274<div class="line"><a name="l00176"></a><span class="lineno"> 176</span>&#160; <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">&quot;Cannot decode to int32. Unsupported origin Data Type!&quot;</span>);</div>
275<div class="line"><a name="l00177"></a><span class="lineno"> 177</span>&#160; <span class="keywordflow">break</span>;</div>
276<div class="line"><a name="l00178"></a><span class="lineno"> 178</span>&#160; }</div>
277<div class="line"><a name="l00179"></a><span class="lineno"> 179</span>&#160; }</div>
278<div class="line"><a name="l00180"></a><span class="lineno"> 180</span>&#160; <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div>
279<div class="line"><a name="l00181"></a><span class="lineno"> 181</span>&#160;}</div>
280<div class="line"><a name="l00182"></a><span class="lineno"> 182</span>&#160; </div>
281<div class="line"><a name="l00183"></a><span class="lineno"> 183</span>&#160;} <span class="comment">//namespace armnn</span></div>
282</div><!-- fragment --></div><!-- contents -->
283</div><!-- doc-content -->
284<div class="ttc" id="anamespacearmnn_html_a1545cb162c5a64d75d9c0c05e8ea387c"><div class="ttname"><a href="namespacearmnn.html#a1545cb162c5a64d75d9c0c05e8ea387c">armnn::MakeDecoder</a></div><div class="ttdeci">std::unique_ptr&lt; Decoder&lt; T &gt; &gt; MakeDecoder(const TensorInfo &amp;info, const void *data=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_decoders_8hpp_source.html#l00064">Decoders.hpp:64</a></div></div>
285<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a></div><div class="ttdeci">@ Boolean</div></div>
286<div class="ttc" id="a_base_iterator_8hpp_html"><div class="ttname"><a href="_base_iterator_8hpp.html">BaseIterator.hpp</a></div></div>
287<div class="ttc" id="aclassarmnn_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#l00152">Tensor.hpp:152</a></div></div>
288<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a></div><div class="ttdeci">@ Float32</div></div>
289<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div><div class="ttdeci">@ QAsymmU8</div></div>
290<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::DataType::QSymmS8</a></div><div class="ttdeci">@ QSymmS8</div></div>
291<div class="ttc" id="anamespacearmnn_html_a0b49aa352b84d572942185ce72cef751"><div class="ttname"><a href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">armnn::Half</a></div><div class="ttdeci">half_float::half Half</div><div class="ttdef"><b>Definition:</b> <a href="_half_8hpp_source.html#l00022">Half.hpp:22</a></div></div>
292<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div><div class="ttdeci">@ QSymmS16</div></div>
293<div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div>
294<div class="ttc" id="anamespacearmnn_utils_html_a1826e433f7e6817976a8175b4ef8296c"><div class="ttname"><a href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a></div><div class="ttdeci">std::pair&lt; unsigned int, std::vector&lt; float &gt; &gt; GetPerAxisParams(const armnn::TensorInfo &amp;info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00280">TensorUtils.cpp:280</a></div></div>
295<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a></div><div class="ttdeci">@ Float16</div></div>
296<div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div>
297<div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div>
298<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a></div><div class="ttdeci">@ Signed32</div></div>
299<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a></div><div class="ttdeci">@ QAsymmS8</div></div>
300<div class="ttc" id="a_floating_point_converter_8hpp_html"><div class="ttname"><a href="_floating_point_converter_8hpp.html">FloatingPointConverter.hpp</a></div></div>
301<div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">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.html#l00006">01_00_quick_start.dox:6</a></div></div>
302<div class="ttc" id="anamespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a></div><div class="ttdeci">@ Signed64</div></div>
303<!-- start footer part -->
304<div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
305 <ul>
306 <li class="navelem"><a class="el" href="dir_68267d1309a1af8e8297ef4c3efbcdba.html">src</a></li><li class="navelem"><a class="el" href="dir_0f3cdec46afbc61a1ded8e1687c9c9a0.html">backends</a></li><li class="navelem"><a class="el" href="dir_efae4012d0e357ebeaba7d02491d70e5.html">reference</a></li><li class="navelem"><a class="el" href="dir_d2f3b8e2e64df3181ebe92efcc0a3012.html">workloads</a></li><li class="navelem"><a class="el" href="_decoders_8hpp.html">Decoders.hpp</a></li>
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