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| <div class="title">RefFakeQuantizationFloat32Workload.cpp</div> </div> |
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| <a href="_ref_fake_quantization_float32_workload_8cpp.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 © 2017-2018,2020-2023 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> |
| <div class="line"><a name="l00006"></a><span class="lineno"> 6</span> <span class="preprocessor">#include "<a class="code" href="_ref_fake_quantization_float32_workload_8hpp.html">RefFakeQuantizationFloat32Workload.hpp</a>"</span></div> |
| <div class="line"><a name="l00007"></a><span class="lineno"> 7</span>  </div> |
| <div class="line"><a name="l00008"></a><span class="lineno"> 8</span> <span class="preprocessor">#include "<a class="code" href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a>"</span></div> |
| <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="_profiling_8hpp.html">Profiling.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="_numeric_cast_8hpp.html">armnn/utility/NumericCast.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"><a class="line" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3"> 17</a></span> <span class="keywordtype">void</span> <a class="code" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">FakeQuantization</a>(<span class="keyword">const</span> <span class="keywordtype">float</span>* inputData, <span class="keywordtype">float</span>* outputData, uint32_t numElements, <span class="keywordtype">float</span> min, <span class="keywordtype">float</span> max)</div> |
| <div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div> |
| <div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  <span class="keywordtype">float</span> scale = (max - min) / 255.f;</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  int32_t offset = armnn::numeric_cast<int32_t>((-min * 255.f) / (max - min));</div> |
| <div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  </div> |
| <div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordflow">for</span> (uint32_t i = 0; i < numElements; i++)</div> |
| <div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  {</div> |
| <div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  outputData[i] = <span class="keyword">static_cast<</span><span class="keywordtype">float</span><span class="keyword">></span>(armnn::Quantize<uint8_t>(inputData[i], scale, offset));</div> |
| <div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  }</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> }</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  </div> |
| <div class="line"><a name="l00029"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a"> 29</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload::Execute</a>()<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00030"></a><span class="lineno"> 30</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <a class="code" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(<a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.<a class="code" href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</a>);</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  </div> |
| <div class="line"><a name="l00034"></a><span class="lineno"><a class="line" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae1c43d025fc90382d7aff7a500937e2c"> 34</a></span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">RefFakeQuantizationFloat32Workload::ExecuteAsync</a>(<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html">ExecutionData</a>& executionData)</div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>* workingMemDescriptor = <span class="keyword">static_cast<</span><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">WorkingMemDescriptor</a>*<span class="keyword">></span>(executionData.<a class="code" href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">m_Data</a>);</div> |
| <div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  <a class="code" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">Execute</a>(workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">m_Inputs</a>, workingMemDescriptor-><a class="code" href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">m_Outputs</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>  </div> |
| <div class="line"><a name="l00040"></a><span class="lineno"> 40</span> <span class="keywordtype">void</span> <a class="code" href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">RefFakeQuantizationFloat32Workload::Execute</a>(std::vector<ITensorHandle*> inputs,</div> |
| <div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  std::vector<ITensorHandle*> outputs)<span class="keyword"> const</span></div> |
| <div class="line"><a name="l00042"></a><span class="lineno"> 42</span> <span class="keyword"></span>{</div> |
| <div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <a class="code" href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a>(<span class="stringliteral">"RefFakeQuantizationFloat32Workload_Execute"</span>);</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  </div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>& inputInfo = <a class="code" href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">GetTensorInfo</a>(inputs[0]);</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="keyword">const</span> <span class="keywordtype">float</span>* inputData = <span class="keyword">reinterpret_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span>*<span class="keyword">></span>(inputs[0]->Map());</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordtype">float</span>* outputData = <span class="keyword">reinterpret_cast<</span><span class="keywordtype">float</span>*<span class="keyword">></span>(outputs[0]->Map());</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <a class="code" href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">FakeQuantization</a>(inputData, outputData, inputInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(),</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Min,</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <a class="code" href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">m_Data</a>.m_Parameters.m_Max);</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</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> } <span class="comment">//namespace armnn</span></div> |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html_ad2b382076f26f48cd44783cfca2e3642"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html#ad2b382076f26f48cd44783cfca2e3642">armnn::experimental::ExecutionData::m_Data</a></div><div class="ttdeci">void * m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00016">ExecutionData.hpp:16</a></div></div> |
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| <div class="ttc" id="a_profiling_8hpp_html"><div class="ttname"><a href="_profiling_8hpp.html">Profiling.hpp</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html_a06acca4fd832e0fb179604112c0505af"><div class="ttname"><a href="_ref_workload_utils_8hpp.html#a06acca4fd832e0fb179604112c0505af">ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID</a></div><div class="ttdeci">#define ARMNN_SCOPED_PROFILING_EVENT_REF_NAME_GUID(label)</div><div class="ttdoc">Creates a profiling event that uses GetGuid() and GetName() from the calling class.</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00022">RefWorkloadUtils.hpp:22</a></div></div> |
| <div class="ttc" id="a_numeric_cast_8hpp_html"><div class="ttname"><a href="_numeric_cast_8hpp.html">NumericCast.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa815fde54f6d8e8aa5b4f0301cf4178b"><div class="ttname"><a href="namespacearmnn.html#aa815fde54f6d8e8aa5b4f0301cf4178b">armnn::GetTensorInfo</a></div><div class="ttdeci">const TensorInfo & GetTensorInfo(const ITensorHandle *tensorHandle)</div><div class="ttdoc">float32 helpers</div><div class="ttdef"><b>Definition:</b> <a href="_ref_workload_utils_8hpp_source.html#l00033">RefWorkloadUtils.hpp:33</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_fake_quantization_float32_workload_html_ae071e8822437c78baea75c3aef3a263a"><div class="ttname"><a href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae071e8822437c78baea75c3aef3a263a">armnn::RefFakeQuantizationFloat32Workload::Execute</a></div><div class="ttdeci">void Execute() const override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.html#l00029">RefFakeQuantizationFloat32Workload.cpp:29</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::QueueDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00027">WorkloadData.hpp:27</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_ref_fake_quantization_float32_workload_html_ae1c43d025fc90382d7aff7a500937e2c"><div class="ttname"><a href="classarmnn_1_1_ref_fake_quantization_float32_workload.html#ae1c43d025fc90382d7aff7a500937e2c">armnn::RefFakeQuantizationFloat32Workload::ExecuteAsync</a></div><div class="ttdeci">void ExecuteAsync(ExecutionData &executionData) override</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.html#l00034">RefFakeQuantizationFloat32Workload.cpp:34</a></div></div> |
| <div class="ttc" id="a_ref_workload_utils_8hpp_html"><div class="ttname"><a href="_ref_workload_utils_8hpp.html">RefWorkloadUtils.hpp</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_base_workload_html_afb8d2c8817c75de9d01a4c0e0d5c160b"><div class="ttname"><a href="classarmnn_1_1_base_workload.html#afb8d2c8817c75de9d01a4c0e0d5c160b">armnn::BaseWorkload::m_Data</a></div><div class="ttdeci">QueueDescriptor m_Data</div><div class="ttdef"><b>Definition:</b> <a href="_workload_8hpp_source.html#l00089">Workload.hpp:89</a></div></div> |
| <div class="ttc" id="a_ref_fake_quantization_float32_workload_8hpp_html"><div class="ttname"><a href="_ref_fake_quantization_float32_workload_8hpp.html">RefFakeQuantizationFloat32Workload.hpp</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_ab3c0b7e1a78b1b98c24934221f36a7c3"><div class="ttname"><a href="namespacearmnn.html#ab3c0b7e1a78b1b98c24934221f36a7c3">armnn::FakeQuantization</a></div><div class="ttdeci">void FakeQuantization(const float *inputData, float *outputData, uint32_t numElements, float min, float max)</div><div class="ttdef"><b>Definition:</b> <a href="_ref_fake_quantization_float32_workload_8cpp_source.html#l00017">RefFakeQuantizationFloat32Workload.cpp:17</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::experimental::WorkingMemDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00020">WorkingMemDescriptor.hpp:20</a></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" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html">armnn::experimental::WorkingMemDescriptor</a></div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00018">WorkingMemDescriptor.hpp:18</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_working_mem_descriptor_html_a6abd491bb99ffe88bd472c1ae5a1ed1a"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_working_mem_descriptor.html#a6abd491bb99ffe88bd472c1ae5a1ed1a">armnn::experimental::WorkingMemDescriptor::m_Outputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Outputs</div><div class="ttdef"><b>Definition:</b> <a href="_working_mem_descriptor_8hpp_source.html#l00021">WorkingMemDescriptor.hpp:21</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_queue_descriptor_html_a4b50e46a6810018f3edecfb68b2a76b3"><div class="ttname"><a href="structarmnn_1_1_queue_descriptor.html#a4b50e46a6810018f3edecfb68b2a76b3">armnn::QueueDescriptor::m_Inputs</a></div><div class="ttdeci">std::vector< ITensorHandle * > m_Inputs</div><div class="ttdef"><b>Definition:</b> <a href="_workload_data_8hpp_source.html#l00026">WorkloadData.hpp:26</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1experimental_1_1_execution_data_html"><div class="ttname"><a href="structarmnn_1_1experimental_1_1_execution_data.html">armnn::experimental::ExecutionData</a></div><div class="ttdef"><b>Definition:</b> <a href="_execution_data_8hpp_source.html#l00014">ExecutionData.hpp:14</a></div></div> |
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