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<div class="textblock"><code>#include &lt;boost/test/unit_test.hpp&gt;</code><br />
<code>#include &quot;<a class="el" href="_parser_flatbuffers_fixture_8hpp_source.xhtml">ParserFlatbuffersFixture.hpp</a>&quot;</code><br />
<code>#include &quot;<a class="el" href="_tf_lite_parser_8hpp_source.xhtml">../TfLiteParser.hpp</a>&quot;</code><br />
<code>#include &lt;sstream&gt;</code><br />
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<h2 class="memtitle"><span class="permalink"><a href="#afcc317a537dfa8ab47071d5c464bad43">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[1/5]</span></h2>
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<td class="memname">BOOST_FIXTURE_TEST_CASE </td>
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<td class="paramtype">ParseSimpleConv2D&#160;</td>
<td class="paramname">, </td>
</tr>
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<td class="paramkey"></td>
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<td class="paramtype">SimpleConv2DFixture&#160;</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00090">90</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>&#160;{</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>&#160; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>&#160; 0,</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>&#160; {</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>&#160; 1, 2, 3,</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>&#160; 4, 5, 6,</div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>&#160; 7, 8, 9,</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>&#160; },</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>&#160; <span class="comment">// because of the output scaling we need to take half of the values</span></div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>&#160; {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>&#160; (1*2 + 2*1 + 3*0 +</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>&#160; 4*6 + 5*2 + 6*1 +</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>&#160; 7*4 + 8*1 + 9*2) /2</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>&#160; });</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a1f8274795936acc6692b9e18a2d7f7a0">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[2/5]</span></h2>
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<td class="memname">BOOST_FIXTURE_TEST_CASE </td>
<td>(</td>
<td class="paramtype">ParseConv2DWithBias&#160;</td>
<td class="paramname">, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">SimpleConv2DWithBiasesFixture&#160;</td>
<td class="paramname">&#160;</td>
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<td></td>
<td>)</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00220">220</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00221"></a><span class="lineno"> 221</span>&#160;{</div><div class="line"><a name="l00222"></a><span class="lineno"> 222</span>&#160; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00223"></a><span class="lineno"> 223</span>&#160; 0,</div><div class="line"><a name="l00224"></a><span class="lineno"> 224</span>&#160; {</div><div class="line"><a name="l00225"></a><span class="lineno"> 225</span>&#160; 1, 2,</div><div class="line"><a name="l00226"></a><span class="lineno"> 226</span>&#160; 3, 4,</div><div class="line"><a name="l00227"></a><span class="lineno"> 227</span>&#160; },</div><div class="line"><a name="l00228"></a><span class="lineno"> 228</span>&#160; <span class="comment">// because of the output scaling we need to take half of the values</span></div><div class="line"><a name="l00229"></a><span class="lineno"> 229</span>&#160; {</div><div class="line"><a name="l00230"></a><span class="lineno"> 230</span>&#160; (1*2 + 2*1 + 3*0 + 4*6 + 10)/2,</div><div class="line"><a name="l00231"></a><span class="lineno"> 231</span>&#160; (2*2 + 0*1 + 4*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00232"></a><span class="lineno"> 232</span>&#160; (3*2 + 4*1 + 0*0 + 0*6 + 10)/2,</div><div class="line"><a name="l00233"></a><span class="lineno"> 233</span>&#160; (4*2 + 0*1 + 0*0 + 0*6 + 10)/2</div><div class="line"><a name="l00234"></a><span class="lineno"> 234</span>&#160; });</div><div class="line"><a name="l00235"></a><span class="lineno"> 235</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a37807b86838def29aa4a342b5ee11a1e">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[3/5]</span></h2>
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<td class="memname">BOOST_FIXTURE_TEST_CASE </td>
<td>(</td>
<td class="paramtype">ParseConv2D_112x112_out&#160;</td>
<td class="paramname">, </td>
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<td class="paramkey"></td>
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<td class="paramtype">Conv2DShapeTestFixture&#160;</td>
<td class="paramname">&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00265">265</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00266"></a><span class="lineno"> 266</span>&#160;{</div><div class="line"><a name="l00267"></a><span class="lineno"> 267</span>&#160;}</div></div><!-- fragment -->
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<a id="aeae31b1eb962892a52153424119c87e9"></a>
<h2 class="memtitle"><span class="permalink"><a href="#aeae31b1eb962892a52153424119c87e9">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[4/5]</span></h2>
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<td class="memname">BOOST_FIXTURE_TEST_CASE </td>
<td>(</td>
<td class="paramtype">ParseConv2DAndReluWithBias&#160;</td>
<td class="paramname">, </td>
</tr>
<tr>
<td class="paramkey"></td>
<td></td>
<td class="paramtype">ReluConv2DWithBiasesFixture&#160;</td>
<td class="paramname">&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00287">287</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00288"></a><span class="lineno"> 288</span>&#160;{</div><div class="line"><a name="l00289"></a><span class="lineno"> 289</span>&#160; uint8_t bias = 16;</div><div class="line"><a name="l00290"></a><span class="lineno"> 290</span>&#160; uint8_t outZero = 20;</div><div class="line"><a name="l00291"></a><span class="lineno"> 291</span>&#160; uint8_t fz = 4; <span class="comment">// filter zero point</span></div><div class="line"><a name="l00292"></a><span class="lineno"> 292</span>&#160;</div><div class="line"><a name="l00293"></a><span class="lineno"> 293</span>&#160; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00294"></a><span class="lineno"> 294</span>&#160; 0,</div><div class="line"><a name="l00295"></a><span class="lineno"> 295</span>&#160; {</div><div class="line"><a name="l00296"></a><span class="lineno"> 296</span>&#160; 1, 2,</div><div class="line"><a name="l00297"></a><span class="lineno"> 297</span>&#160; 4, 8,</div><div class="line"><a name="l00298"></a><span class="lineno"> 298</span>&#160; },</div><div class="line"><a name="l00299"></a><span class="lineno"> 299</span>&#160; <span class="comment">// factors to consider:</span></div><div class="line"><a name="l00300"></a><span class="lineno"> 300</span>&#160; <span class="comment">// - the filter zero point is non zero, hence the (x-fz)</span></div><div class="line"><a name="l00301"></a><span class="lineno"> 301</span>&#160; <span class="comment">// - the output scale is 2 hence the /2</span></div><div class="line"><a name="l00302"></a><span class="lineno"> 302</span>&#160; <span class="comment">// - output zero point is non zero, hence the +outZero</span></div><div class="line"><a name="l00303"></a><span class="lineno"> 303</span>&#160; <span class="comment">// - RELU cuts negative values and then we add the output zero point</span></div><div class="line"><a name="l00304"></a><span class="lineno"> 304</span>&#160; {</div><div class="line"><a name="l00305"></a><span class="lineno"> 305</span>&#160; std::max(outZero, static_cast&lt;uint8_t&gt;((1*(2-fz) + 2*(1-fz) + 4*(0-fz) + 8*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00306"></a><span class="lineno"> 306</span>&#160; std::max(outZero, static_cast&lt;uint8_t&gt;((2*(2-fz) + 0*(1-fz) + 8*(0-fz) + 0*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00307"></a><span class="lineno"> 307</span>&#160; std::max(outZero, static_cast&lt;uint8_t&gt;((4*(2-fz) + 8*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero)),</div><div class="line"><a name="l00308"></a><span class="lineno"> 308</span>&#160; std::max(outZero, static_cast&lt;uint8_t&gt;((8*(2-fz) + 0*(1-fz) + 0*(0-fz) + 0*(6-fz) + bias)/2 + outZero))</div><div class="line"><a name="l00309"></a><span class="lineno"> 309</span>&#160; });</div><div class="line"><a name="l00310"></a><span class="lineno"> 310</span>&#160;}</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a16517509d65fc4291eb40bcc285c03fd">&#9670;&nbsp;</a></span>BOOST_FIXTURE_TEST_CASE() <span class="overload">[5/5]</span></h2>
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<td class="paramtype">ParseConv2DAndRelu6WithBias&#160;</td>
<td class="paramname">, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">Relu6Conv2DWithBiasesFixture&#160;</td>
<td class="paramname">&#160;</td>
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<td>)</td>
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<p class="definition">Definition at line <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml#l00330">330</a> of file <a class="el" href="armnn_tf_lite_parser_2test_2_conv2_d_8cpp_source.xhtml">Conv2D.cpp</a>.</p>
<p class="reference">References <a class="el" href="_profiler_tests_8cpp.xhtml#af7f71af5c6c124222dd1c42c5df892f4">BOOST_AUTO_TEST_SUITE_END()</a>.</p>
<div class="fragment"><div class="line"><a name="l00331"></a><span class="lineno"> 331</span>&#160;{</div><div class="line"><a name="l00332"></a><span class="lineno"> 332</span>&#160; uint8_t relu6Min = 6 / 2; <span class="comment">// divide by output scale</span></div><div class="line"><a name="l00333"></a><span class="lineno"> 333</span>&#160;</div><div class="line"><a name="l00334"></a><span class="lineno"> 334</span>&#160; RunTest&lt;4, armnn::DataType::QAsymmU8&gt;(</div><div class="line"><a name="l00335"></a><span class="lineno"> 335</span>&#160; 0,</div><div class="line"><a name="l00336"></a><span class="lineno"> 336</span>&#160; {</div><div class="line"><a name="l00337"></a><span class="lineno"> 337</span>&#160; 1, 2,</div><div class="line"><a name="l00338"></a><span class="lineno"> 338</span>&#160; 4, 1,</div><div class="line"><a name="l00339"></a><span class="lineno"> 339</span>&#160; },</div><div class="line"><a name="l00340"></a><span class="lineno"> 340</span>&#160; <span class="comment">// factors to consider:</span></div><div class="line"><a name="l00341"></a><span class="lineno"> 341</span>&#160; <span class="comment">// - the output scale is 2 hence the /2</span></div><div class="line"><a name="l00342"></a><span class="lineno"> 342</span>&#160; <span class="comment">// - RELU6 cuts output values at +6</span></div><div class="line"><a name="l00343"></a><span class="lineno"> 343</span>&#160; {</div><div class="line"><a name="l00344"></a><span class="lineno"> 344</span>&#160; std::min(relu6Min, static_cast&lt;uint8_t&gt;((1*2 + 2*1 + 4*0 + 1*6)/2)),</div><div class="line"><a name="l00345"></a><span class="lineno"> 345</span>&#160; std::min(relu6Min, static_cast&lt;uint8_t&gt;((2*2 + 0*1 + 1*0 + 0*6)/2)),</div><div class="line"><a name="l00346"></a><span class="lineno"> 346</span>&#160; std::min(relu6Min, static_cast&lt;uint8_t&gt;((4*2 + 1*1 + 0*0 + 0*6)/2)),</div><div class="line"><a name="l00347"></a><span class="lineno"> 347</span>&#160; std::min(relu6Min, static_cast&lt;uint8_t&gt;((1*2 + 0*1 + 0*0 + 0*6)/2))</div><div class="line"><a name="l00348"></a><span class="lineno"> 348</span>&#160; });</div><div class="line"><a name="l00349"></a><span class="lineno"> 349</span>&#160;}</div></div><!-- fragment -->
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