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| <div class="title">QuantizedLstmEndToEndTestImpl.cpp File Reference</div> </div> |
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| <div class="textblock"><code>#include "<a class="el" href="_quantized_lstm_end_to_end_test_impl_8hpp_source.html">QuantizedLstmEndToEndTestImpl.hpp</a>"</code><br /> |
| <code>#include "<a class="el" href="_common_test_utils_8hpp_source.html">CommonTestUtils.hpp</a>"</code><br /> |
| <code>#include "<a class="el" href="_end_to_end_test_impl_8hpp_source.html">EndToEndTestImpl.hpp</a>"</code><br /> |
| <code>#include <<a class="el" href="_resolve_type_8hpp_source.html">ResolveType.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_i_network_8hpp_source.html">armnn/INetwork.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_quantized_lstm_params_8hpp_source.html">armnn/QuantizedLstmParams.hpp</a>></code><br /> |
| <code>#include <<a class="el" href="_tensor_helpers_8hpp_source.html">test/TensorHelpers.hpp</a>></code><br /> |
| <code>#include <boost/test/unit_test.hpp></code><br /> |
| <code>#include <type_traits></code><br /> |
| </div> |
| <p><a href="_quantized_lstm_end_to_end_test_impl_8cpp_source.html">Go to the source code of this file.</a></p> |
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| Functions</h2></td></tr> |
| <tr class="memitem:a81b5bf2355bdbac79af06c1bc97adb52"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp.html#a81b5bf2355bdbac79af06c1bc97adb52">QuantizedLstmEndToEnd</a> (const std::vector< <a class="el" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> > &backends)</td></tr> |
| <tr class="separator:a81b5bf2355bdbac79af06c1bc97adb52"><td class="memSeparator" colspan="2"> </td></tr> |
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| <h2 class="groupheader">Function Documentation</h2> |
| <a id="a81b5bf2355bdbac79af06c1bc97adb52"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a81b5bf2355bdbac79af06c1bc97adb52">◆ </a></span>QuantizedLstmEndToEnd()</h2> |
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| <td class="memname">void QuantizedLstmEndToEnd </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< <a class="el" href="classarmnn_1_1_backend_id.html">armnn::BackendId</a> > & </td> |
| <td class="paramname"><em>backends</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| |
| <p class="definition">Definition at line <a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp_source.html#l00179">179</a> of file <a class="el" href="_quantized_lstm_end_to_end_test_impl_8cpp_source.html">QuantizedLstmEndToEndTestImpl.cpp</a>.</p> |
| |
| <p class="reference">References <a class="el" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK()</a>, <a class="el" href="_network_8cpp_source.html#l00807">armnn::Optimize()</a>, <a class="el" href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">options</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_cl_end_to_end_tests_8cpp_source.html#l00345">BOOST_AUTO_TEST_CASE()</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00180"></a><span class="lineno"> 180</span> {</div><div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  std::vector<uint8_t> inputVector = {166, 179, 50, 150};</div><div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputDesc({2, 2}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  boost::multi_array<uint8_t, 2> input = MakeTensor<uint8_t, 2>(inputDesc, inputVector);</div><div class="line"><a name="l00184"></a><span class="lineno"> 184</span> </div><div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  std::vector<int16_t> cellStateInVector = {876, 1034, 955, -909, 761, 1029, 796, -1036};</div><div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> cellStateInDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>);</div><div class="line"><a name="l00187"></a><span class="lineno"> 187</span>  boost::multi_array<int16_t, 2> cellStateIn = MakeTensor<int16_t, 2>(cellStateInDesc, cellStateInVector);</div><div class="line"><a name="l00188"></a><span class="lineno"> 188</span> </div><div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  std::vector<uint8_t> outputStateInVector = {136, 150, 140, 115, 135, 152, 138, 112};</div><div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputStateInDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  boost::multi_array<uint8_t, 2> outputStateIn = MakeTensor<uint8_t, 2>(outputStateInDesc, outputStateInVector);</div><div class="line"><a name="l00192"></a><span class="lineno"> 192</span> </div><div class="line"><a name="l00193"></a><span class="lineno"> 193</span>  std::vector<int16_t> cellStateOutVector = {1485, 1177, 1373, -1023, 1019, 1355, 1097, -1235};</div><div class="line"><a name="l00194"></a><span class="lineno"> 194</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> cellStateOutVectorDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a>);</div><div class="line"><a name="l00195"></a><span class="lineno"> 195</span>  boost::multi_array<int16_t, 2> cellStateOut = MakeTensor<int16_t, 2>(cellStateOutVectorDesc, cellStateOutVector);</div><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> </div><div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::vector<uint8_t> outputStateOutVector = {140, 151, 146, 112, 136, 156, 142, 112};</div><div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outputDesc({2, 4}, <a class="code" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a>);</div><div class="line"><a name="l00199"></a><span class="lineno"> 199</span>  boost::multi_array<uint8_t, 2> outputStateOut = MakeTensor<uint8_t, 2>(outputDesc, outputStateOutVector);</div><div class="line"><a name="l00200"></a><span class="lineno"> 200</span> </div><div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="comment">// Builds up the structure of the network</span></div><div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  <a class="code" href="namespacearmnn.html#ace74f6f9feb95a964a49d79458232703">armnn::INetworkPtr</a> net = CreateQuantizedLstmNetwork(input, outputStateOut);</div><div class="line"><a name="l00203"></a><span class="lineno"> 203</span> </div><div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  BOOST_TEST_CHECKPOINT(<span class="stringliteral">"create a network"</span>);</div><div class="line"><a name="l00205"></a><span class="lineno"> 205</span> </div><div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <a class="code" href="structarmnn_1_1_i_runtime_1_1_creation_options.html">IRuntime::CreationOptions</a> <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a>;</div><div class="line"><a name="l00207"></a><span class="lineno"> 207</span>  <a class="code" href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">IRuntimePtr</a> runtime(IRuntime::Create(options));</div><div class="line"><a name="l00208"></a><span class="lineno"> 208</span> </div><div class="line"><a name="l00209"></a><span class="lineno"> 209</span>  <span class="comment">// optimize the network</span></div><div class="line"><a name="l00210"></a><span class="lineno"> 210</span>  <a class="code" href="namespacearmnn.html#a674efcf6cbdb9e831d653ff0e821fb38">IOptimizedNetworkPtr</a> optNet = <a class="code" href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">Optimize</a>(*net, backends, runtime->GetDeviceSpec());</div><div class="line"><a name="l00211"></a><span class="lineno"> 211</span> </div><div class="line"><a name="l00212"></a><span class="lineno"> 212</span>  <span class="comment">// Loads it into the runtime.</span></div><div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <a class="code" href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">NetworkId</a> netId;</div><div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  runtime->LoadNetwork(netId, std::move(optNet));</div><div class="line"><a name="l00215"></a><span class="lineno"> 215</span> </div><div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">InputTensors</a> inputTensors;</div><div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  inputTensors.reserve(3);</div><div class="line"><a name="l00218"></a><span class="lineno"> 218</span> </div><div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  <span class="comment">// input</span></div><div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  inputTensors.push_back({0, <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 0), inputVector.data())});</div><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  inputTensors.push_back({1, <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 1), cellStateInVector.data())});</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  inputTensors.push_back({2, <a class="code" href="classarmnn_1_1_const_tensor.html">ConstTensor</a>(runtime->GetInputTensorInfo(netId, 2), outputStateInVector.data())});</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span> </div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">OutputTensors</a> outputTensors;</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  outputTensors.reserve(2);</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span> </div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  <span class="comment">//output</span></div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  std::vector<int16_t > cellStateOutResult(cellStateOutVector.size());</div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>  std::vector<uint8_t > outputStateOutResult(outputStateOutVector.size());</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>  outputTensors.push_back({0, <a class="code" href="classarmnn_1_1_tensor.html">Tensor</a>(runtime->GetOutputTensorInfo(netId, 0), cellStateOutResult.data())});</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  outputTensors.push_back({1, <a class="code" href="classarmnn_1_1_tensor.html">Tensor</a>(runtime->GetOutputTensorInfo(netId, 1), outputStateOutResult.data())});</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span> </div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="comment">// Does the inference.</span></div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>  runtime->EnqueueWorkload(netId, inputTensors, outputTensors);</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span> </div><div class="line"><a name="l00236"></a><span class="lineno"> 236</span>  <span class="comment">// Checks the results</span></div><div class="line"><a name="l00237"></a><span class="lineno"> 237</span>  constexpr int16_t toleranceInt16 = 2;</div><div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < cellStateOutResult.size(); ++i)</div><div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div><div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <a class="code" href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a>(IsCloseEnough(cellStateOutVector[i], cellStateOutResult[i], toleranceInt16));</div><div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  }</div><div class="line"><a name="l00242"></a><span class="lineno"> 242</span> </div><div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  constexpr uint8_t toleranceUint8 = 1;</div><div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0u; i < outputStateOutResult.size(); ++i)</div><div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  {</div><div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  BOOST_TEST(IsCloseEnough(outputStateOutVector[i], outputStateOutResult[i], toleranceUint8));</div><div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  }</div><div class="line"><a name="l00248"></a><span class="lineno"> 248</span> }</div><div class="ttc" id="classarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00199">Tensor.hpp:199</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::DataType::QAsymmU8</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00226">Tensor.hpp:226</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a82e98ef05fd67036d1195ba17174d685"><div class="ttname"><a href="namespacearmnn.html#a82e98ef05fd67036d1195ba17174d685">armnn::Optimize</a></div><div class="ttdeci">IOptimizedNetworkPtr Optimize(const INetwork &network, const std::vector< BackendId > &backendPreferences, const IDeviceSpec &deviceSpec, const OptimizerOptions &options=OptimizerOptions(), Optional< std::vector< std::string > &> messages=EmptyOptional())</div><div class="ttdef"><b>Definition:</b> <a href="_network_8cpp_source.html#l00807">Network.cpp:807</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00053">Tensor.hpp:53</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7"><div class="ttname"><a href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::DataType::QSymmS16</a></div></div> |
| <div class="ttc" id="classarmnn_1_1_tensor_html"><div class="ttname"><a href="classarmnn_1_1_tensor.html">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00191">Tensor.hpp:191</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00225">Tensor.hpp:225</a></div></div> |
| <div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a0c262ba6f6c189a2d092d127c1b7627b"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a0c262ba6f6c189a2d092d127c1b7627b">BOOST_CHECK</a></div><div class="ttdeci">BOOST_CHECK(profilingService.GetCurrentState()==ProfilingState::WaitingForAck)</div></div> |
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| <div class="ttc" id="_file_only_profiling_decorator_tests_8cpp_html_a6560146509197f3e197d8d36f76c1347"><div class="ttname"><a href="_file_only_profiling_decorator_tests_8cpp.html#a6560146509197f3e197d8d36f76c1347">options</a></div><div class="ttdeci">armnn::Runtime::CreationOptions::ExternalProfilingOptions options</div><div class="ttdef"><b>Definition:</b> <a href="_file_only_profiling_decorator_tests_8cpp_source.html#l00045">FileOnlyProfilingDecoratorTests.cpp:45</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a83015160d8c67d5d77735eb0d4033d9a"><div class="ttname"><a href="namespacearmnn.html#a83015160d8c67d5d77735eb0d4033d9a">armnn::NetworkId</a></div><div class="ttdeci">int NetworkId</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00019">IRuntime.hpp:19</a></div></div> |
| <div class="ttc" id="namespacearmnn_html_a150468a02bd7b2d2d061c4aaaee939f0"><div class="ttname"><a href="namespacearmnn.html#a150468a02bd7b2d2d061c4aaaee939f0">armnn::IRuntimePtr</a></div><div class="ttdeci">std::unique_ptr< IRuntime, void(*)(IRuntime *runtime)> IRuntimePtr</div><div class="ttdef"><b>Definition:</b> <a href="_i_runtime_8hpp_source.html#l00024">IRuntime.hpp:24</a></div></div> |
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