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author | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
---|---|---|
committer | Nikhil Raj <nikhil.raj@arm.com> | 2023-11-22 11:41:15 +0000 |
commit | 6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c (patch) | |
tree | 0c076149c03ac45c2617f5e02a77b79287ff5a0f /latest/_encoders_8hpp_source.html | |
parent | 03c7ff3f6188240baaeaeb405a357a0c58195fec (diff) | |
download | armnn-6f92c8e9f8bb38dcf5dccf8deeff5112ecd8e37c.tar.gz |
Update Doxygen for 23.11
Signed-off-by: Nikhil Raj <nikhil.raj@arm.com>
Change-Id: I47cd933f5002cb94a73aa97689d7b3d9c93cb849
Diffstat (limited to 'latest/_encoders_8hpp_source.html')
-rw-r--r-- | latest/_encoders_8hpp_source.html | 260 |
1 files changed, 145 insertions, 115 deletions
diff --git a/latest/_encoders_8hpp_source.html b/latest/_encoders_8hpp_source.html index eb58a06cd2..9e85587cc6 100644 --- a/latest/_encoders_8hpp_source.html +++ b/latest/_encoders_8hpp_source.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">23.08</span> +  <span id="projectnumber">23.11</span> </div> </td> </tr> @@ -97,7 +97,7 @@ $(document).ready(function(){initNavTree('_encoders_8hpp_source.html',''); initR </div><!--header--> <div class="contents"> <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> <span class="comment">//</span></div> -<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017 Arm Ltd. All rights reserved.</span></div> +<div class="line"><a name="l00002"></a><span class="lineno"> 2</span> <span class="comment">// Copyright © 2017-2023 Arm Ltd and Contributors. All rights reserved.</span></div> <div class="line"><a name="l00003"></a><span class="lineno"> 3</span> <span class="comment">// SPDX-License-Identifier: MIT</span></div> <div class="line"><a name="l00004"></a><span class="lineno"> 4</span> <span class="comment">//</span></div> <div class="line"><a name="l00005"></a><span class="lineno"> 5</span>  </div> @@ -107,116 +107,146 @@ $(document).ready(function(){initNavTree('_encoders_8hpp_source.html',''); initR <div class="line"><a name="l00009"></a><span class="lineno"> 9</span>  </div> <div class="line"><a name="l00010"></a><span class="lineno"> 10</span> <span class="preprocessor">#include <<a class="code" href="_tensor_utils_8hpp.html">armnnUtils/TensorUtils.hpp</a>></span></div> <div class="line"><a name="l00011"></a><span class="lineno"> 11</span>  </div> -<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="preprocessor">#include <<a class="code" href="_assert_8hpp.html">armnn/utility/Assert.hpp</a>></span></div> -<div class="line"><a name="l00013"></a><span class="lineno"> 13</span>  </div> -<div class="line"><a name="l00014"></a><span class="lineno"> 14</span> <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> {</div> -<div class="line"><a name="l00016"></a><span class="lineno"> 16</span>  </div> -<div class="line"><a name="l00017"></a><span class="lineno"> 17</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> -<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<T>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& 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>  </div> -<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> <span class="keyword">template</span><></div> -<div class="line"><a name="l00021"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a01cdb4291025316036201d689811255f"> 21</a></span> <span class="keyword">inline</span> std::unique_ptr<Encoder<float>> <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>& info, <span class="keywordtype">void</span>* data)</div> -<div class="line"><a name="l00022"></a><span class="lineno"> 22</span> {</div> -<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div> -<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div> -<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div> -<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div> -<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">return</span> std::make_unique<QASymmS8Encoder>(</div> -<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> -<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> -<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> -<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  }</div> -<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div> -<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  {</div> -<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">return</span> std::make_unique<QASymm8Encoder>(</div> -<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(data),</div> -<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> -<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> -<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  }</div> -<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div> -<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div> -<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization())</div> -<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  {</div> -<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  std::pair<unsigned int, std::vector<float>> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> -<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordflow">return</span> std::make_unique<QSymm8PerAxisEncoder>(</div> -<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> -<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  params.second,</div> -<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  params.first);</div> -<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  }</div> -<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">else</span></div> -<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  {</div> -<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> std::make_unique<QSymmS8Encoder>(</div> -<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> -<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> -<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> -<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div> -<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  }</div> -<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div> -<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> -<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordflow">return</span> std::make_unique<QSymm16Encoder>(</div> -<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">static_cast<</span>int16_t*<span class="keyword">></span>(data),</div> -<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> -<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> -<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div> -<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div> -<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  {</div> -<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> std::make_unique<Int32Encoder>(<span class="keyword">static_cast<</span>int32_t*<span class="keyword">></span>(data));</div> -<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div> -<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div> -<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> -<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> std::make_unique<Float16Encoder>(<span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>*<span class="keyword">></span>(data));</div> -<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div> -<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div> -<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  {</div> -<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> std::make_unique<Float32Encoder>(<span class="keyword">static_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00012"></a><span class="lineno"> 12</span> <span class="keyword">namespace </span><a class="code" href="namespacearmnn.html">armnn</a></div> +<div class="line"><a name="l00013"></a><span class="lineno"> 13</span> {</div> +<div class="line"><a name="l00014"></a><span class="lineno"> 14</span>  </div> +<div class="line"><a name="l00015"></a><span class="lineno"> 15</span> <span class="keyword">template</span><<span class="keyword">typename</span> T></div> +<div class="line"><a name="l00016"></a><span class="lineno"> 16</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<T>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data = <span class="keyword">nullptr</span>);</div> +<div class="line"><a name="l00017"></a><span class="lineno"> 17</span>  </div> +<div class="line"><a name="l00018"></a><span class="lineno"> 18</span> <span class="keyword">template</span><></div> +<div class="line"><a name="l00019"></a><span class="lineno"><a class="line" href="namespacearmnn.html#a01cdb4291025316036201d689811255f"> 19</a></span> <span class="keyword">inline</span> std::unique_ptr<Encoder<float>> <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>& info, <span class="keywordtype">void</span>* data)</div> +<div class="line"><a name="l00020"></a><span class="lineno"> 20</span> {</div> +<div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div> +<div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div> +<div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::DataType::QAsymmS8</a>:</div> +<div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div> +<div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">return</span> std::make_unique<QASymmS8Encoder>(</div> +<div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> +<div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div> +<div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>:</div> +<div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  {</div> +<div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> std::make_unique<QASymm8Encoder>(</div> +<div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> +<div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div> +<div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">DataType::QSymmS8</a>:</div> +<div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  {</div> +<div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization())</div> +<div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div> +<div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::pair<unsigned int, std::vector<float>> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> +<div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  <span class="keywordflow">return</span> std::make_unique<QSymm8PerAxisEncoder>(</div> +<div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  params.second,</div> +<div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  params.first);</div> +<div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  }</div> +<div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div> +<div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> std::make_unique<QSymmS8Encoder>(</div> +<div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keyword">static_cast<</span>int8_t*<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> +<div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div> +<div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div> +<div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>:</div> +<div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  {</div> +<div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization())</div> +<div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> +<div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationDim().value();</div> +<div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">auto</span> axisDimensionality = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape()[axis];</div> +<div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  std::pair<unsigned int, std::vector<float>> params = <a class="code" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">armnnUtils::GetPerAxisParams</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>);</div> +<div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> std::make_unique<QSymm16PerAxisEncoder>(</div> +<div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keyword">static_cast<</span>int16_t*<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  params.second,</div> +<div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  params.first,</div> +<div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  axisDimensionality);</div> +<div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div> +<div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keywordflow">else</span></div> +<div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div> +<div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">return</span> std::make_unique<QSymm16Encoder>(</div> +<div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">static_cast<</span>int16_t *<span class="keyword">></span>(data),</div> +<div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScale(),</div> +<div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationOffset());</div> +<div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  }</div> <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  }</div> -<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::DataType::Signed32</a>:</div> <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div> -<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported target Data Type!"</span>);</div> -<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  <span class="keywordflow">break</span>;</div> -<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div> -<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div> -<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> -<div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div> -<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  </div> -<div class="line"><a name="l00085"></a><span class="lineno"> 85</span> <span class="keyword">template</span><></div> -<div class="line"><a name="l00086"></a><span class="lineno"> 86</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<bool>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data)</div> -<div class="line"><a name="l00087"></a><span class="lineno"> 87</span> {</div> -<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">switch</span>(info.GetDataType())</div> -<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> -<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div> -<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  {</div> -<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  <span class="keywordflow">return</span> std::make_unique<BooleanEncoder>(<span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(data));</div> -<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div> -<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">default</span>:</div> -<div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  {</div> -<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Cannot encode from boolean. Not supported target Data Type!"</span>);</div> -<div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">break</span>;</div> -<div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  }</div> -<div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div> -<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> -<div class="line"><a name="l00101"></a><span class="lineno"> 101</span> }</div> -<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  </div> -<div class="line"><a name="l00103"></a><span class="lineno"> 103</span> <span class="keyword">template</span><></div> -<div class="line"><a name="l00104"></a><span class="lineno"> 104</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<int32_t>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data)</div> -<div class="line"><a name="l00105"></a><span class="lineno"> 105</span> {</div> -<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div> -<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div> -<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>:</div> -<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  {</div> -<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> std::make_unique<Int32ToInt32tEncoder>(<span class="keyword">static_cast<</span>int32_t*<span class="keyword">></span>(data));</div> -<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div> -<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">default</span>:</div> -<div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div> -<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <a class="code" href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(<span class="keyword">false</span>, <span class="stringliteral">"Unsupported Data Type!"</span>);</div> -<div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <span class="keywordflow">break</span>;</div> -<div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  }</div> -<div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  }</div> -<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> -<div class="line"><a name="l00119"></a><span class="lineno"> 119</span> }</div> -<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  </div> -<div class="line"><a name="l00121"></a><span class="lineno"> 121</span> } <span class="comment">//namespace armnn</span></div> +<div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">return</span> std::make_unique<Int32Encoder>(<span class="keyword">static_cast<</span>int32_t*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div> +<div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::DataType::Float16</a>:</div> +<div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  {</div> +<div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> std::make_unique<Float16Encoder>(<span class="keyword">static_cast<</span><a class="code" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a>*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  }</div> +<div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::DataType::Float32</a>:</div> +<div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div> +<div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="keywordflow">return</span> std::make_unique<Float32Encoder>(<span class="keyword">static_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div> +<div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  {</div> +<div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Unsupported target Data Type!"</span>);</div> +<div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  }</div> +<div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  }</div> +<div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00095"></a><span class="lineno"> 95</span> }</div> +<div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  </div> +<div class="line"><a name="l00097"></a><span class="lineno"> 97</span> <span class="keyword">template</span><></div> +<div class="line"><a name="l00098"></a><span class="lineno"> 98</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<double_t>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data)</div> +<div class="line"><a name="l00099"></a><span class="lineno"> 99</span> {</div> +<div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  <span class="keywordflow">switch</span>(info.GetDataType())</div> +<div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  {</div> +<div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::DataType::Signed64</a>:</div> +<div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  {</div> +<div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">return</span> std::make_unique<Int64Encoder>(<span class="keyword">static_cast<</span>int64_t*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  }</div> +<div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div> +<div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Cannot encode from double. Unsupported target Data Type!"</span>);</div> +<div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  }</div> +<div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  }</div> +<div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div> +<div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  </div> +<div class="line"><a name="l00115"></a><span class="lineno"> 115</span> <span class="keyword">template</span><></div> +<div class="line"><a name="l00116"></a><span class="lineno"> 116</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<bool>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data)</div> +<div class="line"><a name="l00117"></a><span class="lineno"> 117</span> {</div> +<div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div> +<div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div> +<div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::DataType::Boolean</a>:</div> +<div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div> +<div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> std::make_unique<BooleanEncoder>(<span class="keyword">static_cast<</span>uint8_t*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div> +<div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  {</div> +<div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Cannot encode from boolean. Unsupported target Data Type!"</span>);</div> +<div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  }</div> +<div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  }</div> +<div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div> +<div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  </div> +<div class="line"><a name="l00133"></a><span class="lineno"> 133</span> <span class="keyword">template</span><></div> +<div class="line"><a name="l00134"></a><span class="lineno"> 134</span> <span class="keyword">inline</span> std::unique_ptr<Encoder<int32_t>> <a class="code" href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">MakeEncoder</a>(<span class="keyword">const</span> TensorInfo& info, <span class="keywordtype">void</span>* data)</div> +<div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div> +<div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordflow">switch</span>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType())</div> +<div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  {</div> +<div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  <span class="keywordflow">case</span> <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">DataType::Signed32</a>:</div> +<div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  {</div> +<div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  <span class="keywordflow">return</span> std::make_unique<Int32ToInt32tEncoder>(<span class="keyword">static_cast<</span>int32_t*<span class="keyword">></span>(data));</div> +<div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  }</div> +<div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordflow">default</span>:</div> +<div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  {</div> +<div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordflow">throw</span> InvalidArgumentException(<span class="stringliteral">"Cannot encode from int32. Unsupported Data Type!"</span>);</div> +<div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">break</span>;</div> +<div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  }</div> +<div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  }</div> +<div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">return</span> <span class="keyword">nullptr</span>;</div> +<div class="line"><a name="l00149"></a><span class="lineno"> 149</span> }</div> +<div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  </div> +<div class="line"><a name="l00151"></a><span class="lineno"> 151</span> } <span class="comment">//namespace armnn</span></div> </div><!-- fragment --></div><!-- contents --> </div><!-- doc-content --> <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> @@ -226,22 +256,22 @@ $(document).ready(function(){initNavTree('_encoders_8hpp_source.html',''); initR <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> <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> <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> -<div class="ttc" id="a_assert_8hpp_html_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.html#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.html#l00015">Assert.hpp:15</a></div></div> <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> <div class="ttc" id="a_tensor_utils_8hpp_html"><div class="ttname"><a href="_tensor_utils_8hpp.html">TensorUtils.hpp</a></div></div> -<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< unsigned int, std::vector< float > > GetPerAxisParams(const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00246">TensorUtils.cpp:246</a></div></div> -<div class="ttc" id="a_assert_8hpp_html"><div class="ttname"><a href="_assert_8hpp.html">Assert.hpp</a></div></div> +<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< unsigned int, std::vector< float > > GetPerAxisParams(const armnn::TensorInfo &info)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00280">TensorUtils.cpp:280</a></div></div> <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> -<div class="ttc" id="anamespacearmnn_html_a56867cc5245724ab56953604b1eec9ee"><div class="ttname"><a href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">armnn::MakeEncoder</a></div><div class="ttdeci">std::unique_ptr< Encoder< T > > MakeEncoder(const TensorInfo &info, void *data=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_encoders_8hpp_source.html#l00021">Encoders.hpp:21</a></div></div> +<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> +<div class="ttc" id="anamespacearmnn_html_a56867cc5245724ab56953604b1eec9ee"><div class="ttname"><a href="namespacearmnn.html#a56867cc5245724ab56953604b1eec9ee">armnn::MakeEncoder</a></div><div class="ttdeci">std::unique_ptr< Encoder< T > > MakeEncoder(const TensorInfo &info, void *data=nullptr)</div><div class="ttdef"><b>Definition:</b> <a href="_encoders_8hpp_source.html#l00019">Encoders.hpp:19</a></div></div> <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> <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> <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> <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> +<div class="ttc" 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