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_asm_code_8h_source.html

@@ -143,7 +143,7 @@
 <div class="line"><a id="l00049" name="l00049"></a><span class="lineno">   49</span>}</div>
 <div class="line"><a id="l00050" name="l00050"></a><span class="lineno">   50</span> </div>
 <div class="line"><a id="l00051" name="l00051"></a><span class="lineno">   51</span><span class="preprocessor">#endif </span><span class="comment">// __ENCO_ASM_CODE_H__</span></div>
-<div class="ttc" id="acircledump_2include_2circledump_2_dump_8h_html_a5c8cbbf61e0997b7df5ce080e0ae5bf6"><div class="ttname"><a href="circledump_2include_2circledump_2_dump_8h.html#a5c8cbbf61e0997b7df5ce080e0ae5bf6">operator&lt;&lt;</a></div><div class="ttdeci">std::ostream &amp; operator&lt;&lt;(std::ostream &amp;os, const circle::Model *model)</div><div class="ttdef"><b>Definition:</b> <a href="circledump_2src_2_dump_8cpp_source.html#l00476">Dump.cpp:476</a></div></div>
+<div class="ttc" id="acircledump_2include_2circledump_2_dump_8h_html_a5c8cbbf61e0997b7df5ce080e0ae5bf6"><div class="ttname"><a href="circledump_2include_2circledump_2_dump_8h.html#a5c8cbbf61e0997b7df5ce080e0ae5bf6">operator&lt;&lt;</a></div><div class="ttdeci">std::ostream &amp; operator&lt;&lt;(std::ostream &amp;os, const circle::Model *model)</div><div class="ttdef"><b>Definition:</b> <a href="circledump_2src_2_dump_8cpp_source.html#l00463">Dump.cpp:463</a></div></div>
 <div class="ttc" id="aclassenco_1_1_asm_code_html"><div class="ttname"><a href="classenco_1_1_asm_code.html">enco::AsmCode</a></div><div class="ttdef"><b>Definition:</b> <a href="_asm_code_8h_source.html#l00026">AsmCode.h:27</a></div></div>
 <div class="ttc" id="aclassenco_1_1_asm_code_html_a07af8385587dfd23fe624cddb5c691ff"><div class="ttname"><a href="classenco_1_1_asm_code.html#a07af8385587dfd23fe624cddb5c691ff">enco::AsmCode::dump</a></div><div class="ttdeci">void dump(std::ostream &amp;) const</div><div class="ttdef"><b>Definition:</b> <a href="_asm_code_8cpp_source.html#l00022">AsmCode.cpp:22</a></div></div>
 <div class="ttc" id="aclassenco_1_1_asm_code_html_a64af70c91c5fe2fde8aa30d3e00edf02"><div class="ttname"><a href="classenco_1_1_asm_code.html#a64af70c91c5fe2fde8aa30d3e00edf02">enco::AsmCode::AsmCode</a></div><div class="ttdeci">AsmCode(const std::string &amp;filename, const std::string &amp;varname)</div><div class="ttdef"><b>Definition:</b> <a href="_asm_code_8h_source.html#l00029">AsmCode.h:29</a></div></div>

_benchmark_8cpp_source.html

@@ -193,7 +193,7 @@
 <div class="line"><a id="l00099" name="l00099"></a><span class="lineno">   99</span>  <span class="keywordflow">return</span> <a class="code hl_variable" href="_n_e_g_e_m_m_matrix_accumulate_biases_kernel_8cpp.html#aa73e018b04368e7afaded77ef0ac69db">m</a>.os() &lt;&lt; std::forward&lt;T&gt;(value);</div>
 <div class="line"><a id="l00100" name="l00100"></a><span class="lineno">  100</span>}</div>
 <div class="line"><a id="l00101" name="l00101"></a><span class="lineno">  101</span> </div>
-<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="_benchmark_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">  102</a></span><span class="keywordtype">int</span> <a class="code hl_function" href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div>
+<div class="line"><a id="l00102" name="l00102"></a><span class="lineno"><a class="line" href="_benchmark_8cpp.html#a3c04138a5bfe5d72780bb7e82a18e627">  102</a></span><span class="keywordtype">int</span> <a class="code hl_function" href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a>(<span class="keywordtype">int</span> argc, <span class="keywordtype">char</span> **argv)</div>
 <div class="line"><a id="l00103" name="l00103"></a><span class="lineno">  103</span>{</div>
 <div class="line"><a id="l00104" name="l00104"></a><span class="lineno">  104</span>  std::unique_ptr&lt;nnkit::BackendPlugin&gt; backend_plugin;</div>
 <div class="line"><a id="l00105" name="l00105"></a><span class="lineno">  105</span>  <a class="code hl_class" href="classnnkit_1_1_vector_arguments.html">nnkit::VectorArguments</a> backend_arguments;</div>
@@ -309,7 +309,7 @@
 <div class="ttc" id="aencodump_2src_2_dump_8cpp_html_a6c638646052b07e4e3e5d466b6954ee6"><div class="ttname"><a href="encodump_2src_2_dump_8cpp.html#a6c638646052b07e4e3e5d466b6954ee6">head</a></div><div class="ttdeci">void head(int indent)</div></div>
 <div class="ttc" id="alibrary__info_8cc_html_a54f2e176d30fe963addf60c313ccd9ca"><div class="ttname"><a href="library__info_8cc.html#a54f2e176d30fe963addf60c313ccd9ca">info</a></div><div class="ttdeci">volatile const char info[]</div><div class="ttdef"><b>Definition:</b> <a href="library__info_8cc_source.html#l00017">library_info.cc:17</a></div></div>
 <div class="ttc" id="anamespacennkit_html_a901c7e934e270a3b5b7c23dcdf036d13"><div class="ttname"><a href="namespacennkit.html#a901c7e934e270a3b5b7c23dcdf036d13">nnkit::make_backend_plugin</a></div><div class="ttdeci">std::unique_ptr&lt; BackendPlugin &gt; make_backend_plugin(const std::string &amp;path)</div><div class="ttdef"><b>Definition:</b> <a href="_backend_plugin_8cpp_source.html#l00052">BackendPlugin.cpp:52</a></div></div>
-<div class="ttc" id="aonert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_html_ae66f6b31b5ad750f1fe042a706a4e3d4"><div class="ttname"><a href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a></div><div class="ttdeci">int main()</div><div class="ttdef"><b>Definition:</b> <a href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2main_8cpp_source.html#l00058">main.cpp:58</a></div></div>
+<div class="ttc" id="aonert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_html_ae66f6b31b5ad750f1fe042a706a4e3d4"><div class="ttname"><a href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp.html#ae66f6b31b5ad750f1fe042a706a4e3d4">main</a></div><div class="ttdeci">int main()</div><div class="ttdef"><b>Definition:</b> <a href="onert-micro_2examples_2speech__recognition_2_d_i_s_c_o___f746_2mbed-os_2_main_8cpp_source.html#l00058">main.cpp:58</a></div></div>
 <div class="ttc" id="astructnnkit_1_1_tensor_context_html"><div class="ttname"><a href="structnnkit_1_1_tensor_context.html">nnkit::TensorContext</a></div><div class="ttdef"><b>Definition:</b> <a href="nnkit-intf_2tensor_2include_2nnkit_2_tensor_context_8h_source.html#l00033">TensorContext.h:34</a></div></div>
 </div><!-- fragment --></div><!-- contents -->
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_binary_arithmetic_layer_8cc_source.html

@@ -377,7 +377,7 @@
 <div class="ttc" id="aclassonert_1_1backend_1_1cpu_1_1ops_1_1_binary_arithmetic_layer_html_aef04badc1b225e90b683b9f1dad05a7c"><div class="ttname"><a href="classonert_1_1backend_1_1cpu_1_1ops_1_1_binary_arithmetic_layer.html#aef04badc1b225e90b683b9f1dad05a7c">onert::backend::cpu::ops::BinaryArithmeticLayer::configure</a></div><div class="ttdeci">void configure(const IPortableTensor *lhs, const IPortableTensor *rhs, IPortableTensor *output, const ir::Activation activation, const ArithmeticType arithmetic_type)</div><div class="ttdef"><b>Definition:</b> <a href="_binary_arithmetic_layer_8cc_source.html#l00166">BinaryArithmeticLayer.cc:166</a></div></div>
 <div class="ttc" id="anamespacegen__h5__explicit__inputs_html_acd1aa9ba45d45c6b619b723e6e34c576"><div class="ttname"><a href="namespacegen__h5__explicit__inputs.html#acd1aa9ba45d45c6b619b723e6e34c576">gen_h5_explicit_inputs.output</a></div><div class="ttdeci">output</div><div class="ttdef"><b>Definition:</b> <a href="gen__h5__explicit__inputs_8py_source.html#l00035">gen_h5_explicit_inputs.py:35</a></div></div>
 <div class="ttc" id="anamespacemir_1_1ops_html"><div class="ttname"><a href="namespacemir_1_1ops.html">mir::ops</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_op_8h_source.html#l00024">AbsOp.h:25</a></div></div>
-<div class="ttc" id="anamespacennfw_1_1cker_html_ab586c97b643a8a5756b6ed159e2fc77a"><div class="ttname"><a href="namespacennfw_1_1cker.html#ab586c97b643a8a5756b6ed159e2fc77a">nnfw::cker::ProcessBroadcastShapes</a></div><div class="ttdeci">bool ProcessBroadcastShapes(const Shape &amp;shape0, const Shape &amp;shape1, BinaryArithmeticOpParam *params)</div><div class="ttdef"><b>Definition:</b> <a href="_binary_arithmetic_ops_8h_source.html#l00090">BinaryArithmeticOps.h:90</a></div></div>
+<div class="ttc" id="anamespacennfw_1_1cker_html_ab586c97b643a8a5756b6ed159e2fc77a"><div class="ttname"><a href="namespacennfw_1_1cker.html#ab586c97b643a8a5756b6ed159e2fc77a">nnfw::cker::ProcessBroadcastShapes</a></div><div class="ttdeci">bool ProcessBroadcastShapes(const Shape &amp;shape0, const Shape &amp;shape1, BinaryArithmeticOpParam *params)</div><div class="ttdef"><b>Definition:</b> <a href="_binary_arithmetic_ops_8h_source.html#l00109">BinaryArithmeticOps.h:109</a></div></div>
 <div class="ttc" id="anamespaceonert_1_1backend_1_1cpu_1_1ops_html_a1cfb53087f7fc161b9162d65aa5520d9"><div class="ttname"><a href="namespaceonert_1_1backend_1_1cpu_1_1ops.html#a1cfb53087f7fc161b9162d65aa5520d9">onert::backend::cpu::ops::getShape</a></div><div class="ttdeci">nnfw::cker::Shape getShape(const IPortableTensor *tensor)</div><div class="ttdef"><b>Definition:</b> <a href="cpu_2ops_2_operation_utils_8h_source.html#l00094">OperationUtils.h:94</a></div></div>
 <div class="ttc" id="anamespaceonert_1_1backend_1_1cpu_1_1ops_html_a3be5fe32ffdf0573dd36b64172dbaa3a"><div class="ttname"><a href="namespaceonert_1_1backend_1_1cpu_1_1ops.html#a3be5fe32ffdf0573dd36b64172dbaa3a">onert::backend::cpu::ops::QuantizeMultiplier</a></div><div class="ttdeci">void QuantizeMultiplier(double double_multiplier, int32_t *quantized_multiplier, int *shift)</div><div class="ttdef"><b>Definition:</b> <a href="cpu_2ops_2_operation_utils_8cc_source.html#l00062">OperationUtils.cc:62</a></div></div>
 <div class="ttc" id="anamespaceonert_1_1backend_1_1cpu_1_1ops_html_aa3ed894d41e9c8473df0db171af23d7d"><div class="ttname"><a href="namespaceonert_1_1backend_1_1cpu_1_1ops.html#aa3ed894d41e9c8473df0db171af23d7d">onert::backend::cpu::ops::CalculateActivationRangeQuantized</a></div><div class="ttdeci">void CalculateActivationRangeQuantized(ir::Activation activation, const IPortableTensor *output, int32_t *act_min, int32_t *act_max)</div><div class="ttdef"><b>Definition:</b> <a href="cpu_2ops_2_operation_utils_8cc_source.html#l00144">OperationUtils.cc:144</a></div></div>

_binary_arithmetic_ops_8h.html

@@ -96,6 +96,7 @@
 </div><!--header-->
 <div class="contents">
 <div class="textblock"><code>#include &lt;functional&gt;</code><br />
+<code>#include &lt;stdexcept&gt;</code><br />
 <code>#include &quot;<a class="el" href="optimized_2_binary_arithmetic_ops_8h_source.html">cker/operation/optimized/BinaryArithmeticOps.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="reference_2_binary_arithmetic_ops_8h_source.html">cker/operation/reference/BinaryArithmeticOps.h</a>&quot;</code><br />
 <code>#include &quot;<a class="el" href="compute_2cker_2include_2cker_2_shape_8h_source.html">cker/Shape.h</a>&quot;</code><br />
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 Functions</h2></td></tr>
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-<tr class="memitem:a8b9d0eeb2bf9596c62c5b12398048f32"><td class="memTemplItemLeft" align="right" valign="top">std::enable_if_t&lt;!is_quant8&lt; T &gt;::value &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacennfw_1_1cker.html#a8b9d0eeb2bf9596c62c5b12398048f32">nnfw::cker::BinaryArithmeticOp</a> (const BinaryArithmeticOpParam &amp;params, const <a class="el" href="struct_shape.html">Shape</a> &amp;input1_shape, const T *input1_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;input2_shape, const T *input2_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;<a class="el" href="_p_a_l_comparisons_8h.html#a74a475996321e12d590d9029e114d8d0">output_shape</a>, T *output_data)</td></tr>
-<tr class="separator:a8b9d0eeb2bf9596c62c5b12398048f32"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a36d7e40e7d854810f3aca645e47a954d"><td class="memTemplParams" colspan="2">template&lt;BinaryArithmeticOpType op_type, typename T &gt; </td></tr>
+<tr class="memitem:a36d7e40e7d854810f3aca645e47a954d"><td class="memTemplItemLeft" align="right" valign="top">std::enable_if_t&lt;!is_quant8&lt; T &gt;::value &amp;&amp;!std::is_same&lt; T, bool &gt;::value &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacennfw_1_1cker.html#a36d7e40e7d854810f3aca645e47a954d">nnfw::cker::BinaryArithmeticOp</a> (const BinaryArithmeticOpParam &amp;params, const <a class="el" href="struct_shape.html">Shape</a> &amp;input1_shape, const T *input1_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;input2_shape, const T *input2_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;<a class="el" href="_p_a_l_comparisons_8h.html#a74a475996321e12d590d9029e114d8d0">output_shape</a>, T *output_data)</td></tr>
+<tr class="separator:a36d7e40e7d854810f3aca645e47a954d"><td class="memSeparator" colspan="2">&#160;</td></tr>
+<tr class="memitem:a2c27f6ddf892563eb206c6acc642dda5"><td class="memTemplParams" colspan="2">template&lt;BinaryArithmeticOpType op_type, typename T &gt; </td></tr>
+<tr class="memitem:a2c27f6ddf892563eb206c6acc642dda5"><td class="memTemplItemLeft" align="right" valign="top">std::enable_if_t&lt;!is_quant8&lt; T &gt;::value &amp;&amp;std::is_same&lt; T, bool &gt;::value &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacennfw_1_1cker.html#a2c27f6ddf892563eb206c6acc642dda5">nnfw::cker::BinaryArithmeticOp</a> (const BinaryArithmeticOpParam &amp;params, const <a class="el" href="struct_shape.html">Shape</a> &amp;input1_shape, const bool *input1_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;input2_shape, const bool *input2_data, const <a class="el" href="struct_shape.html">Shape</a> &amp;<a class="el" href="_p_a_l_comparisons_8h.html#a74a475996321e12d590d9029e114d8d0">output_shape</a>, bool *output_data)</td></tr>
+<tr class="separator:a2c27f6ddf892563eb206c6acc642dda5"><td class="memSeparator" colspan="2">&#160;</td></tr>
 <tr class="memitem:a4187ae5a8a58fefefe761ab73520806f"><td class="memTemplParams" colspan="2">template&lt;BinaryArithmeticOpType op_type, typename T &gt; </td></tr>
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_binary_arithmetic_ops_8h.js

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