Documentation/namespacearmnn_utils.html

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  84 <a href="#namespaces">Namespaces</a> &#124;
  85 <a href="#nested-classes">Classes</a> &#124;
  86 <a href="#typedef-members">Typedefs</a> &#124;
  87 <a href="#func-members">Functions</a> &#124;
  88 <a href="#var-members">Variables</a>  </div>
  89   <div class="headertitle">
  90 <div class="title">armnnUtils Namespace Reference</div>  </div>
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  92 <div class="contents">
  93 <table class="memberdecls">
  94 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="namespaces"></a>
  95 Namespaces</h2></td></tr>
  96 <tr class="memitem:namespacearmnn_utils_1_1_filesystem"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils_1_1_filesystem.html">Filesystem</a></td></tr>
  97 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
  98 <tr class="memitem:namespacearmnn_utils_1_1_processes"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils_1_1_processes.html">Processes</a></td></tr>
  99 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 100 <tr class="memitem:namespacearmnn_utils_1_1_sockets"><td class="memItemLeft" align="right" valign="top"> &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils_1_1_sockets.html">Sockets</a></td></tr>
 101 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 102 </table><table class="memberdecls">
 103 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="nested-classes"></a>
 104 Classes</h2></td></tr>
 105 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_csv_reader.html">CsvReader</a></td></tr>
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 107 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_csv_row.html">CsvRow</a></td></tr>
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 109 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a></td></tr>
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 111 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_floating_point_converter.html">FloatingPointConverter</a></td></tr>
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 113 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_is_floating_point_iterator.html">IsFloatingPointIterator</a></td></tr>
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 115 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.html">ModelAccuracyChecker</a></td></tr>
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 117 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_parser_prototxt_fixture.html">ParserPrototxtFixture</a></td></tr>
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 122 <tr class="separator:"><td class="memSeparator" colspan="2">&#160;</td></tr>
 123 <tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct &#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_selective_quantizer_3_01_t_00_01false_01_4.html">SelectiveQuantizer&lt; T, false &gt;</a></td></tr>
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 125 </table><table class="memberdecls">
 126 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
 127 Typedefs</h2></td></tr>
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 131 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
 132 Functions</h2></td></tr>
 133 <tr class="memitem:a49ba5984d8cde4299d8ef15c9e556587"><td class="memItemLeft" align="right" valign="top">bool&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a49ba5984d8cde4299d8ef15c9e556587">operator==</a> (const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &amp;dataLayout, const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> &amp;indexed)</td></tr>
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 137 <tr class="memitem:abeaf4f6785039866fd075f4569ba8e84"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">Permuted</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;srcShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;mappings)</td></tr>
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 141 <tr class="memitem:af3c74017185773dd61d8ca6662d65d43"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">Permute</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;dstShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;mappings, const void *src, void *dst, size_t dataTypeSize)</td></tr>
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 143 <tr class="memitem:ab53d94ea22b51c6bcdf9584644bd67bb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">GetTensorShape</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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 145 <tr class="memitem:acee63cd08da47910fc166a1990988fa8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">GetTensorInfo</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout, const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType)</td></tr>
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 147 <tr class="memitem:a1c9097ab13afc54b48c503c6487aaee1"><td class="memItemLeft" align="right" valign="top">std::pair&lt; float, float &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a1c9097ab13afc54b48c503c6487aaee1">FindMinMax</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a> *tensorHandle)</td></tr>
 148 <tr class="separator:a1c9097ab13afc54b48c503c6487aaee1"><td class="memSeparator" colspan="2">&#160;</td></tr>
 149 <tr class="memitem:a0d3b1be320610515e0cac8d745d9f8c2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;tensorShape, int axis)</td></tr>
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 151 <tr class="memitem:af57864f5e03358d14c2988edae912b8b"><td class="memItemLeft" align="right" valign="top">unsigned int&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#af57864f5e03358d14c2988edae912b8b">GetNumElementsBetween</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;shape, unsigned int firstAxisInclusive, unsigned int lastAxisExclusive)</td></tr>
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 157 <tr class="memitem:a1826e433f7e6817976a8175b4ef8296c"><td class="memItemLeft" align="right" valign="top">std::pair&lt; unsigned int, std::vector&lt; float &gt; &gt;&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a1826e433f7e6817976a8175b4ef8296c">GetPerAxisParams</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;info)</td></tr>
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 161 <tr class="memitem:a662b45b5a4d48a01e967c0b28b6a552b"><td class="memTemplParams" colspan="2">template&lt;typename TNodeId , typename TTargetNodes &gt; </td></tr>
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 166 <tr class="memitem:a24f7c8ffa12c4c91bc2cecd4d329add4"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a24f7c8ffa12c4c91bc2cecd4d329add4">Strip</a> (const std::string &amp;originalString, const std::string &amp;characterSet)</td></tr>
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 168 <tr class="memitem:a523deabeb7d0a884028b35eebfd1cb6c"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a523deabeb7d0a884028b35eebfd1cb6c">ProcessConcatInputTensorInfo</a> (<a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;inputTensorInfo, <a class="el" href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a> &amp;concatDescriptor, const unsigned int &amp;concatAxis, unsigned int inputIndex, unsigned int &amp;mergeDimOrigin)</td></tr>
 169 <tr class="separator:a523deabeb7d0a884028b35eebfd1cb6c"><td class="memSeparator" colspan="2">&#160;</td></tr>
 170 <tr class="memitem:aac34adc5b96d744ae53eac580213f855"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;inputTensorInfo, const std::set&lt; unsigned int &gt; &amp;axisSet, bool keepDims, <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;outputTensorInfo)</td></tr>
 171 <tr class="memdesc:aac34adc5b96d744ae53eac580213f855"><td class="mdescLeft">&#160;</td><td class="mdescRight">Creates a tensor info after reducing the dimensions mentioned in axisData.  <a href="#aac34adc5b96d744ae53eac580213f855">More...</a><br /></td></tr>
 172 <tr class="separator:aac34adc5b96d744ae53eac580213f855"><td class="memSeparator" colspan="2">&#160;</td></tr>
 173 <tr class="memitem:a9300450bab29bb951d6f8755b7d9d3a8"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a9300450bab29bb951d6f8755b7d9d3a8">CalculateStridedSliceOutputTensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;inputTensorInfo, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a> &amp;desc, <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;outputTensorInfo)</td></tr>
 174 <tr class="memdesc:a9300450bab29bb951d6f8755b7d9d3a8"><td class="mdescLeft">&#160;</td><td class="mdescRight">Create output tensor info for a StridedSlice operator.  <a href="#a9300450bab29bb951d6f8755b7d9d3a8">More...</a><br /></td></tr>
 175 <tr class="separator:a9300450bab29bb951d6f8755b7d9d3a8"><td class="memSeparator" colspan="2">&#160;</td></tr>
 176 <tr class="memitem:ab4a89c3d0ff243bdabae3e404248d04a"><td class="memItemLeft" align="right" valign="top">std::string&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ab4a89c3d0ff243bdabae3e404248d04a">ConvertInt32ToOctalString</a> (int value)</td></tr>
 177 <tr class="memdesc:ab4a89c3d0ff243bdabae3e404248d04a"><td class="mdescLeft">&#160;</td><td class="mdescRight">Converts an int value into the Prototxt octal representation.  <a href="#ab4a89c3d0ff243bdabae3e404248d04a">More...</a><br /></td></tr>
 178 <tr class="separator:ab4a89c3d0ff243bdabae3e404248d04a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 179 <tr class="memitem:a21b249bca87a5ad47359abd9ec7acada"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 180 <tr class="memitem:a21b249bca87a5ad47359abd9ec7acada"><td class="memTemplItemLeft" align="right" valign="top">T&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a21b249bca87a5ad47359abd9ec7acada">SelectiveQuantize</a> (float value, float scale, int32_t offset)</td></tr>
 181 <tr class="separator:a21b249bca87a5ad47359abd9ec7acada"><td class="memSeparator" colspan="2">&#160;</td></tr>
 182 <tr class="memitem:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 183 <tr class="memitem:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memTemplItemLeft" align="right" valign="top">float&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a5135dc1ce7a8aeb97623c1a92c5a3543">SelectiveDequantize</a> (T value, float scale, int32_t offset)</td></tr>
 184 <tr class="separator:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memSeparator" colspan="2">&#160;</td></tr>
 185 <tr class="memitem:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memTemplParams" colspan="2">template&lt;typename T , typename FloatIt , typename std::enable_if&lt; IsFloatingPointIterator&lt; FloatIt &gt;::value, int &gt;::type  = 0&gt; </td></tr>
 186 <tr class="memitem:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memTemplItemLeft" align="right" valign="top">std::vector&lt; T &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#afb0aab92dc5b9bc5d7ebe2ea036f3809">QuantizedVector</a> (FloatIt first, FloatIt last, float qScale, int32_t qOffset)</td></tr>
 187 <tr class="separator:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memSeparator" colspan="2">&#160;</td></tr>
 188 <tr class="memitem:ad10541679f7d9740ba7a3c96b9843456"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 189 <tr class="memitem:ad10541679f7d9740ba7a3c96b9843456"><td class="memTemplItemLeft" align="right" valign="top">std::vector&lt; T &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad10541679f7d9740ba7a3c96b9843456">QuantizedVector</a> (const std::vector&lt; float &gt; &amp;array, float qScale=1.f, int32_t qOffset=0)</td></tr>
 190 <tr class="separator:ad10541679f7d9740ba7a3c96b9843456"><td class="memSeparator" colspan="2">&#160;</td></tr>
 191 <tr class="memitem:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memTemplParams" colspan="2">template&lt;typename T &gt; </td></tr>
 192 <tr class="memitem:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memTemplItemLeft" align="right" valign="top">std::vector&lt; T &gt;&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#af29a7b903bf7ae9639ea29bc05ccb289">QuantizedVector</a> (std::initializer_list&lt; float &gt; array, float qScale=1.f, int32_t qOffset=0)</td></tr>
 193 <tr class="separator:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memSeparator" colspan="2">&#160;</td></tr>
 194 <tr class="memitem:ad5310a199d4969927169ed084b1f6c28"><td class="memTemplParams" colspan="2">template&lt;typename TContainer &gt; </td></tr>
 195 <tr class="memitem:ad5310a199d4969927169ed084b1f6c28"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad5310a199d4969927169ed084b1f6c28">MakeInputTensors</a> (const std::vector&lt; <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> &gt; &amp;inputBindings, const std::vector&lt; <a class="el" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> &gt; &amp;inputDataContainers)</td></tr>
 196 <tr class="separator:ad5310a199d4969927169ed084b1f6c28"><td class="memSeparator" colspan="2">&#160;</td></tr>
 197 <tr class="memitem:ad4efd5a7fa660df5246466d83517220d"><td class="memTemplParams" colspan="2">template&lt;typename TContainer &gt; </td></tr>
 198 <tr class="memitem:ad4efd5a7fa660df5246466d83517220d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a>&#160;</td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad4efd5a7fa660df5246466d83517220d">MakeOutputTensors</a> (const std::vector&lt; <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> &gt; &amp;outputBindings, std::vector&lt; <a class="el" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> &gt; &amp;outputDataContainers)</td></tr>
 199 <tr class="separator:ad4efd5a7fa660df5246466d83517220d"><td class="memSeparator" colspan="2">&#160;</td></tr>
 200 <tr class="memitem:a97dc68ae76f04b81c833184724836c9a"><td class="memItemLeft" align="right" valign="top">void&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a97dc68ae76f04b81c833184724836c9a">CheckValidSize</a> (std::initializer_list&lt; size_t &gt; validInputCounts, size_t actualValue, const char *validExpr, const char *actualExpr, const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;location)</td></tr>
 201 <tr class="separator:a97dc68ae76f04b81c833184724836c9a"><td class="memSeparator" colspan="2">&#160;</td></tr>
 202 <tr class="memitem:ab075020544612cd151ebdd08db537396"><td class="memItemLeft" align="right" valign="top">uint32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ab075020544612cd151ebdd08db537396">NonNegative</a> (const char *expr, int32_t value, const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;location)</td></tr>
 203 <tr class="separator:ab075020544612cd151ebdd08db537396"><td class="memSeparator" colspan="2">&#160;</td></tr>
 204 <tr class="memitem:a2e0aa273755368a1bf5fc65102df4a92"><td class="memItemLeft" align="right" valign="top">int32_t&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a2e0aa273755368a1bf5fc65102df4a92">VerifyInt32</a> (const char *expr, int64_t value, const <a class="el" href="structarmnn_1_1_check_location.html">armnn::CheckLocation</a> &amp;location)</td></tr>
 205 <tr class="separator:a2e0aa273755368a1bf5fc65102df4a92"><td class="memSeparator" colspan="2">&#160;</td></tr>
 206 </table><table class="memberdecls">
 207 <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a>
 208 Variables</h2></td></tr>
 209 <tr class="memitem:a12124184ac6aec018beb98b9715330c7"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a12124184ac6aec018beb98b9715330c7">NHWCToArmNN</a> = { 0, 2, 3, 1 }</td></tr>
 210 <tr class="separator:a12124184ac6aec018beb98b9715330c7"><td class="memSeparator" colspan="2">&#160;</td></tr>
 211 <tr class="memitem:a59cbccbfbae7633020d200f8c23fe69e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a>&#160;</td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a59cbccbfbae7633020d200f8c23fe69e">ArmNNToNHWC</a> = { 0, 3, 1, 2 }</td></tr>
 212 <tr class="separator:a59cbccbfbae7633020d200f8c23fe69e"><td class="memSeparator" colspan="2">&#160;</td></tr>
 213 </table>
 214 <h2 class="groupheader">Typedef Documentation</h2>
 215 <a id="ab175d8bf2482d5a39c2331d1f0ddcece"></a>
 216 <h2 class="memtitle"><span class="permalink"><a href="#ab175d8bf2482d5a39c2331d1f0ddcece">&#9670;&nbsp;</a></span>LabelCategoryNames</h2>
 217
 218 <div class="memitem">
 219 <div class="memproto">
 220       <table class="memname">
 221         <tr>
 222           <td class="memname">using <a class="el" href="namespacearmnn_utils.html#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> =  std::vector&lt;std::string&gt;</td>
 223         </tr>
 224       </table>
 225 </div><div class="memdoc">
 226
 227 <p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8hpp_source.html#l00025">25</a> of file <a class="el" href="_model_accuracy_checker_8hpp_source.html">ModelAccuracyChecker.hpp</a>.</p>
 228
 229 </div>
 230 </div>
 231 <h2 class="groupheader">Function Documentation</h2>
 232 <a id="aac34adc5b96d744ae53eac580213f855"></a>
 233 <h2 class="memtitle"><span class="permalink"><a href="#aac34adc5b96d744ae53eac580213f855">&#9670;&nbsp;</a></span>CalculateReducedOutputTensoInfo()</h2>
 234
 235 <div class="memitem">
 236 <div class="memproto">
 237       <table class="memname">
 238         <tr>
 239           <td class="memname">void CalculateReducedOutputTensoInfo </td>
 240           <td>(</td>
 241           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
 242           <td class="paramname"><em>inputTensorInfo</em>, </td>
 243         </tr>
 244         <tr>
 245           <td class="paramkey"></td>
 246           <td></td>
 247           <td class="paramtype">const std::set&lt; unsigned int &gt; &amp;&#160;</td>
 248           <td class="paramname"><em>axisSet</em>, </td>
 249         </tr>
 250         <tr>
 251           <td class="paramkey"></td>
 252           <td></td>
 253           <td class="paramtype">bool&#160;</td>
 254           <td class="paramname"><em>keepDims</em>, </td>
 255         </tr>
 256         <tr>
 257           <td class="paramkey"></td>
 258           <td></td>
 259           <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
 260           <td class="paramname"><em>outputTensorInfo</em>&#160;</td>
 261         </tr>
 262         <tr>
 263           <td></td>
 264           <td>)</td>
 265           <td></td><td></td>
 266         </tr>
 267       </table>
 268 </div><div class="memdoc">
 269
 270 <p>Creates a tensor info after reducing the dimensions mentioned in axisData. </p>
 271
 272 <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00054">54</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p>
 273
 274 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>.</p>
 275
 276 <p class="reference">Referenced by <a class="el" href="_parser_helper_test_8cpp_source.html#l00019">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tf_parser_8cpp_source.html#l02414">armnnTfParser::OutputShapeOfSqueeze()</a>.</p>
 277 <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;{</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    std::vector&lt;unsigned int&gt; outputShapeVector;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keywordtype">bool</span> dimensionFound = <span class="keyword">false</span>;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size = 1;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    {</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;        dimensionFound = <span class="keyword">false</span>;</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;        <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis: axisSet)</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;        {</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;            <span class="keywordflow">if</span> (axis == i)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;            {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;                dimensionFound = <span class="keyword">true</span>;</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;                <span class="keywordflow">break</span>;</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            }</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        <span class="keywordflow">if</span> (!dimensionFound)</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;            size *= inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;            <span class="keywordflow">if</span> (keepDims)</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;            {</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;                outputShapeVector.push_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]);</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            }</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;        }</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        <span class="keywordflow">else</span></div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        {</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;            <span class="keywordflow">if</span> (keepDims)</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;            {</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;                outputShapeVector.push_back(1);</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;            }</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;        }</div><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;</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;    <span class="keywordflow">if</span> (keepDims)</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;        <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &amp;outputShapeVector[0]);</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(outputTensorShape, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;    }</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>({size}, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
 278 <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>
 279 <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
 280 <div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
 281 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
 282 </div><!-- fragment -->
 283 </div>
 284 </div>
 285 <a id="a9300450bab29bb951d6f8755b7d9d3a8"></a>
 286 <h2 class="memtitle"><span class="permalink"><a href="#a9300450bab29bb951d6f8755b7d9d3a8">&#9670;&nbsp;</a></span>CalculateStridedSliceOutputTensorInfo()</h2>
 287
 288 <div class="memitem">
 289 <div class="memproto">
 290       <table class="memname">
 291         <tr>
 292           <td class="memname">void CalculateStridedSliceOutputTensorInfo </td>
 293           <td>(</td>
 294           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
 295           <td class="paramname"><em>inputTensorInfo</em>, </td>
 296         </tr>
 297         <tr>
 298           <td class="paramkey"></td>
 299           <td></td>
 300           <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a> &amp;&#160;</td>
 301           <td class="paramname"><em>desc</em>, </td>
 302         </tr>
 303         <tr>
 304           <td class="paramkey"></td>
 305           <td></td>
 306           <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
 307           <td class="paramname"><em>outputTensorInfo</em>&#160;</td>
 308         </tr>
 309         <tr>
 310           <td></td>
 311           <td>)</td>
 312           <td></td><td></td>
 313         </tr>
 314       </table>
 315 </div><div class="memdoc">
 316
 317 <p>Create output tensor info for a StridedSlice operator. </p>
 318
 319 <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00105">105</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p>
 320
 321 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00358">StridedSliceDescriptor::GetStartForAxis()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00385">StridedSliceDescriptor::GetStopForAxis()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01054">StridedSliceDescriptor::m_ShrinkAxisMask</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01045">StridedSliceDescriptor::m_Stride</a>.</p>
 322
 323 <p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.html#l02414">armnnTfParser::OutputShapeOfSqueeze()</a>.</p>
 324 <div class="fragment"><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;{</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;    <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>&amp; inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    std::vector&lt;unsigned int&gt; outputShapeVector;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    {</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;        <span class="keywordflow">if</span> (desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> &amp; (1 &lt;&lt; i))</div><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;        {</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;            <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;        }</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;        <span class="keywordtype">int</span> stride = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">m_Stride</a>[i];</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;        <span class="keywordtype">int</span> start = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#add849c1188ee7ff60774755b746aa526">GetStartForAxis</a>(inputShape, i);</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordtype">int</span> stop = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.html#afc4731b55776f71af1e14c799c6e6e2c">GetStopForAxis</a>(inputShape, i, start);</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;        <span class="keywordtype">int</span> newSize = stride &gt; 0 ? ((stop - start) + stride - 1) / stride :</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;                      ((start - stop) - stride - 1) / -stride;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;        newSize = std::max(0, newSize);</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;        outputShapeVector.push_back(static_cast&lt;unsigned int&gt;(newSize));</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    }</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &amp;outputShapeVector[0]);</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;    outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>(outputTensorShape), inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;}</div><div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_html_afc4731b55776f71af1e14c799c6e6e2c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#afc4731b55776f71af1e14c799c6e6e2c">armnn::StridedSliceDescriptor::GetStopForAxis</a></div><div class="ttdeci">int GetStopForAxis(const TensorShape &amp;inputShape, unsigned int axis, int startForAxis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00385">Descriptors.cpp:385</a></div></div>
 325 <div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_html_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector&lt; int &gt; m_Stride</div><div class="ttdoc">Stride values for the input that will be sliced. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01045">Descriptors.hpp:1045</a></div></div>
 326 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
 327 <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>
 328 <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
 329 <div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
 330 <div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_html_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1...</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01054">Descriptors.hpp:1054</a></div></div>
 331 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
 332 <div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_html_add849c1188ee7ff60774755b746aa526"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#add849c1188ee7ff60774755b746aa526">armnn::StridedSliceDescriptor::GetStartForAxis</a></div><div class="ttdeci">int GetStartForAxis(const TensorShape &amp;inputShape, unsigned int axis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00358">Descriptors.cpp:358</a></div></div>
 333 </div><!-- fragment -->
 334 </div>
 335 </div>
 336 <a id="a97dc68ae76f04b81c833184724836c9a"></a>
 337 <h2 class="memtitle"><span class="permalink"><a href="#a97dc68ae76f04b81c833184724836c9a">&#9670;&nbsp;</a></span>CheckValidSize()</h2>
 338
 339 <div class="memitem">
 340 <div class="memproto">
 341       <table class="memname">
 342         <tr>
 343           <td class="memname">void CheckValidSize </td>
 344           <td>(</td>
 345           <td class="paramtype">std::initializer_list&lt; size_t &gt;&#160;</td>
 346           <td class="paramname"><em>validInputCounts</em>, </td>
 347         </tr>
 348         <tr>
 349           <td class="paramkey"></td>
 350           <td></td>
 351           <td class="paramtype">size_t&#160;</td>
 352           <td class="paramname"><em>actualValue</em>, </td>
 353         </tr>
 354         <tr>
 355           <td class="paramkey"></td>
 356           <td></td>
 357           <td class="paramtype">const char *&#160;</td>
 358           <td class="paramname"><em>validExpr</em>, </td>
 359         </tr>
 360         <tr>
 361           <td class="paramkey"></td>
 362           <td></td>
 363           <td class="paramtype">const char *&#160;</td>
 364           <td class="paramname"><em>actualExpr</em>, </td>
 365         </tr>
 366         <tr>
 367           <td class="paramkey"></td>
 368           <td></td>
 369           <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;&#160;</td>
 370           <td class="paramname"><em>location</em>&#160;</td>
 371         </tr>
 372         <tr>
 373           <td></td>
 374           <td>)</td>
 375           <td></td><td></td>
 376         </tr>
 377       </table>
 378 </div><div class="memdoc">
 379
 380 <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00015">15</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</a>.</p>
 381
 382 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p>
 383 <div class="fragment"><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;{</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    <span class="keywordtype">bool</span> isValid = std::any_of(validInputCounts.begin(),</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;                               validInputCounts.end(),</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;                               [&amp;actualValue](<span class="keywordtype">size_t</span> x) { <span class="keywordflow">return</span> x == actualValue; } );</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    <span class="keywordflow">if</span> (!isValid)</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    {</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;            boost::str(</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                boost::format(<span class="stringliteral">&quot;%1% = %2% is not valid, not in {%3%}. %4%&quot;</span>) %</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;                              actualExpr %</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;                              actualValue %</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;                              validExpr %</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                              location.<a class="code" href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;    }</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
 384 <div class="ttc" id="structarmnn_1_1_check_location_html_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00029">Exceptions.hpp:29</a></div></div>
 385 </div><!-- fragment -->
 386 </div>
 387 </div>
 388 <a id="ab4a89c3d0ff243bdabae3e404248d04a"></a>
 389 <h2 class="memtitle"><span class="permalink"><a href="#ab4a89c3d0ff243bdabae3e404248d04a">&#9670;&nbsp;</a></span>ConvertInt32ToOctalString()</h2>
 390
 391 <div class="memitem">
 392 <div class="memproto">
 393       <table class="memname">
 394         <tr>
 395           <td class="memname">std::string ConvertInt32ToOctalString </td>
 396           <td>(</td>
 397           <td class="paramtype">int&#160;</td>
 398           <td class="paramname"><em>value</em></td><td>)</td>
 399           <td></td>
 400         </tr>
 401       </table>
 402 </div><div class="memdoc">
 403
 404 <p>Converts an int value into the Prototxt octal representation. </p>
 405
 406 <p class="definition">Definition at line <a class="el" href="_prototxt_conversions_8cpp_source.html#l00018">18</a> of file <a class="el" href="_prototxt_conversions_8cpp_source.html">PrototxtConversions.cpp</a>.</p>
 407
 408 <p class="reference">Referenced by <a class="el" href="_prototxt_conversions_test_8cpp_source.html#l00012">BOOST_AUTO_TEST_CASE()</a>.</p>
 409 <div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    std::stringstream ss;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;    std::string returnString;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i &lt; 4; ++i)</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    {</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;        ss &lt;&lt; <span class="stringliteral">&quot;\\&quot;</span>;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        ss &lt;&lt; std::setw(3) &lt;&lt; std::setfill(&#39;0&#39;) &lt;&lt; std::oct &lt;&lt; ((value &gt;&gt; (i * 8)) &amp; 0xFF);</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    }</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    ss &gt;&gt; returnString;</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keywordflow">return</span> returnString;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;}</div></div><!-- fragment -->
 410 </div>
 411 </div>
 412 <a id="a0d3b1be320610515e0cac8d745d9f8c2"></a>
 413 <h2 class="memtitle"><span class="permalink"><a href="#a0d3b1be320610515e0cac8d745d9f8c2">&#9670;&nbsp;</a></span>ExpandDims()</h2>
 414
 415 <div class="memitem">
 416 <div class="memproto">
 417       <table class="memname">
 418         <tr>
 419           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> ExpandDims </td>
 420           <td>(</td>
 421           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
 422           <td class="paramname"><em>tensorShape</em>, </td>
 423         </tr>
 424         <tr>
 425           <td class="paramkey"></td>
 426           <td></td>
 427           <td class="paramtype">int&#160;</td>
 428           <td class="paramname"><em>axis</em>&#160;</td>
 429         </tr>
 430         <tr>
 431           <td></td>
 432           <td>)</td>
 433           <td></td><td></td>
 434         </tr>
 435       </table>
 436 </div><div class="memdoc">
 437
 438 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00085">85</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 439
 440 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, and <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>.</p>
 441
 442 <p class="reference">Referenced by <a class="el" href="_tensor_utils_test_8cpp_source.html#l00017">BOOST_AUTO_TEST_CASE()</a>.</p>
 443 <div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;{</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;    <span class="keywordflow">if</span> (axis &lt; -boost::numeric_cast&lt;int&gt;(outputDim) || axis &gt; boost::numeric_cast&lt;int&gt;(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()))</div><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;    {</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;            boost::str(boost::format(<span class="stringliteral">&quot;Invalid expansion axis %1% for %2%D input tensor. %3%&quot;</span>) %</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;                       axis %</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;                       tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() %</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;                       <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;    }</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;    <span class="keywordflow">if</span> (axis &lt; 0)</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    {</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;        axis = boost::numeric_cast&lt;<span class="keywordtype">int</span>&gt;(outputDim) + axis;</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;    }</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    std::vector&lt;unsigned int&gt; outputShape;</div><div class="line"><a name="l00104"></a><span class="lineno">  104</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i &lt; tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00105"></a><span class="lineno">  105</span>&#160;    {</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;        outputShape.push_back(tensorShape[i]);</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    }</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    outputShape.insert(outputShape.begin() + axis, 1);</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(outputDim, outputShape.data());</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
 444 <div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
 445 <div class="ttc" id="classarmnn_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>
 446 <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
 447 </div><!-- fragment -->
 448 </div>
 449 </div>
 450 <a id="a1c9097ab13afc54b48c503c6487aaee1"></a>
 451 <h2 class="memtitle"><span class="permalink"><a href="#a1c9097ab13afc54b48c503c6487aaee1">&#9670;&nbsp;</a></span>FindMinMax()</h2>
 452
 453 <div class="memitem">
 454 <div class="memproto">
 455       <table class="memname">
 456         <tr>
 457           <td class="memname">std::pair&lt; float, float &gt; FindMinMax </td>
 458           <td>(</td>
 459           <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a> *&#160;</td>
 460           <td class="paramname"><em>tensorHandle</em></td><td>)</td>
 461           <td></td>
 462         </tr>
 463       </table>
 464 </div><div class="memdoc">
 465
 466 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00058">58</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 467
 468 <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00106">TensorShape::GetNumElements()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">ITensorHandle::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">ITensorHandle::Map()</a>, and <a class="el" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">ITensorHandle::Unmap()</a>.</p>
 469
 470 <p class="reference">Referenced by <a class="el" href="_network_quantizer_8cpp_source.html#l00060">NetworkQuantizer::Refine()</a>.</p>
 471 <div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;{</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    <span class="keyword">auto</span> tensor_data = <span class="keyword">static_cast&lt;</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">&gt;</span>(tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(<span class="keyword">true</span>));</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">auto</span> tensor_size = tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    <span class="comment">// Set min/max initially to first value in tensor</span></div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;    <span class="keywordtype">float</span> min = tensor_data[0];</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;    <span class="keywordtype">float</span> max = tensor_data[0];</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    <span class="comment">// Loop over rest of tensor and update min/max if necessary</span></div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val = 1; val &lt; tensor_size; val++)</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">if</span> (tensor_data[val] &lt; min)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;        {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;            min = tensor_data[val];</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        }</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;        <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensor_data[val] &gt; max)</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        {</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;            max = tensor_data[val];</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;        }</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;    }</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;    tensorHandle-&gt;<a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;    <span class="keywordflow">return</span> std::make_pair(min, max);</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div></div>
 472 <div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div></div>
 473 <div class="ttc" id="classarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00106">Tensor.cpp:106</a></div></div>
 474 <div class="ttc" id="classarmnn_1_1_i_tensor_handle_html_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data. </div></div>
 475 </div><!-- fragment -->
 476 </div>
 477 </div>
 478 <a id="a276aac5f7a8bdc3db4f62203870ca13b"></a>
 479 <h2 class="memtitle"><span class="permalink"><a href="#a276aac5f7a8bdc3db4f62203870ca13b">&#9670;&nbsp;</a></span>GetNumElementsAfter()</h2>
 480
 481 <div class="memitem">
 482 <div class="memproto">
 483       <table class="memname">
 484         <tr>
 485           <td class="memname">unsigned int GetNumElementsAfter </td>
 486           <td>(</td>
 487           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
 488           <td class="paramname"><em>shape</em>, </td>
 489         </tr>
 490         <tr>
 491           <td class="paramkey"></td>
 492           <td></td>
 493           <td class="paramtype">unsigned int&#160;</td>
 494           <td class="paramname"><em>axis</em>&#160;</td>
 495         </tr>
 496         <tr>
 497           <td></td>
 498           <td>)</td>
 499           <td></td><td></td>
 500         </tr>
 501       </table>
 502 </div><div class="memdoc">
 503
 504 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00140">140</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 505
 506 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>.</p>
 507
 508 <p class="reference">Referenced by <a class="el" href="_tensor_utils_8cpp_source.html#l00152">GetPerAxisParams()</a>.</p>
 509 <div class="fragment"><div class="line"><a name="l00141"></a><span class="lineno">  141</span>&#160;{</div><div class="line"><a name="l00142"></a><span class="lineno">  142</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDim = shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00143"></a><span class="lineno">  143</span>&#160;    BOOST_ASSERT(axis &lt;= numDim - 1);</div><div class="line"><a name="l00144"></a><span class="lineno">  144</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00145"></a><span class="lineno">  145</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = axis; i &lt; numDim; i++)</div><div class="line"><a name="l00146"></a><span class="lineno">  146</span>&#160;    {</div><div class="line"><a name="l00147"></a><span class="lineno">  147</span>&#160;        count *= shape[i];</div><div class="line"><a name="l00148"></a><span class="lineno">  148</span>&#160;    }</div><div class="line"><a name="l00149"></a><span class="lineno">  149</span>&#160;    <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00150"></a><span class="lineno">  150</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
 510 </div><!-- fragment -->
 511 </div>
 512 </div>
 513 <a id="af57864f5e03358d14c2988edae912b8b"></a>
 514 <h2 class="memtitle"><span class="permalink"><a href="#af57864f5e03358d14c2988edae912b8b">&#9670;&nbsp;</a></span>GetNumElementsBetween()</h2>
 515
 516 <div class="memitem">
 517 <div class="memproto">
 518       <table class="memname">
 519         <tr>
 520           <td class="memname">unsigned int GetNumElementsBetween </td>
 521           <td>(</td>
 522           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
 523           <td class="paramname"><em>shape</em>, </td>
 524         </tr>
 525         <tr>
 526           <td class="paramkey"></td>
 527           <td></td>
 528           <td class="paramtype">unsigned int&#160;</td>
 529           <td class="paramname"><em>firstAxisInclusive</em>, </td>
 530         </tr>
 531         <tr>
 532           <td class="paramkey"></td>
 533           <td></td>
 534           <td class="paramtype">unsigned int&#160;</td>
 535           <td class="paramname"><em>lastAxisExclusive</em>&#160;</td>
 536         </tr>
 537         <tr>
 538           <td></td>
 539           <td>)</td>
 540           <td></td><td></td>
 541         </tr>
 542       </table>
 543 </div><div class="memdoc">
 544
 545 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00113">113</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 546
 547 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>.</p>
 548
 549 <p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.html#l00015">armnn::ArgMinMax()</a>, <a class="el" href="_log_softmax_8cpp_source.html#l00030">armnn::LogSoftmax()</a>, and <a class="el" href="backends_2reference_2workloads_2_softmax_8cpp_source.html#l00017">armnn::Softmax()</a>.</p>
 550 <div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;{</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    BOOST_ASSERT(firstAxisInclusive &lt;= lastAxisExclusive);</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    BOOST_ASSERT(lastAxisExclusive &lt;= shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = firstAxisInclusive; i &lt; lastAxisExclusive; i++)</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;    {</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        count *= shape[i];</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;    }</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
 551 </div><!-- fragment -->
 552 </div>
 553 </div>
 554 <a id="a1826e433f7e6817976a8175b4ef8296c"></a>
 555 <h2 class="memtitle"><span class="permalink"><a href="#a1826e433f7e6817976a8175b4ef8296c">&#9670;&nbsp;</a></span>GetPerAxisParams()</h2>
 556
 557 <div class="memitem">
 558 <div class="memproto">
 559       <table class="memname">
 560         <tr>
 561           <td class="memname">std::pair&lt; unsigned int, std::vector&lt; float &gt; &gt; GetPerAxisParams </td>
 562           <td>(</td>
 563           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
 564           <td class="paramname"><em>info</em></td><td>)</td>
 565           <td></td>
 566         </tr>
 567       </table>
 568 </div><div class="memdoc">
 569
 570 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00152">152</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 571
 572 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tensor_8hpp_source.html#l00095">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00165">armnn::GetDataTypeName()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00140">GetNumElementsAfter()</a>, <a class="el" href="_tensor_8cpp_source.html#l00280">TensorInfo::GetQuantizationDim()</a>, <a class="el" href="_tensor_8cpp_source.html#l00237">TensorInfo::GetQuantizationScales()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8cpp_source.html#l00232">TensorInfo::HasPerAxisQuantization()</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch&lt; IsReference, T &gt;::value()</a>.</p>
 573
 574 <p class="reference">Referenced by <a class="el" href="_decoders_8hpp_source.html#l00070">armnn::MakeDecoder()</a>, and <a class="el" href="_encoders_8hpp_source.html#l00021">armnn::MakeEncoder()</a>.</p>
 575 <div class="fragment"><div class="line"><a name="l00153"></a><span class="lineno">  153</span>&#160;{</div><div class="line"><a name="l00154"></a><span class="lineno">  154</span>&#160;    <span class="keyword">const</span> std::vector&lt;float&gt;&amp; scales = info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>();</div><div class="line"><a name="l00155"></a><span class="lineno">  155</span>&#160;    <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional&lt;unsigned int&gt;</a> quantizationDim = info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>();</div><div class="line"><a name="l00156"></a><span class="lineno">  156</span>&#160;    <span class="keywordflow">if</span> (!info.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div><div class="line"><a name="l00157"></a><span class="lineno">  157</span>&#160;    {</div><div class="line"><a name="l00158"></a><span class="lineno">  158</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00159"></a><span class="lineno">  159</span>&#160;            std::string(<span class="stringliteral">&quot;Per-axis quantization params not set for tensor of type &quot;</span>) +</div><div class="line"><a name="l00160"></a><span class="lineno">  160</span>&#160;            <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00161"></a><span class="lineno">  161</span>&#160;    }</div><div class="line"><a name="l00162"></a><span class="lineno">  162</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axisFactor = <a class="code" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), quantizationDim.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00163"></a><span class="lineno">  163</span>&#160;</div><div class="line"><a name="l00164"></a><span class="lineno">  164</span>&#160;    <span class="keywordflow">return</span> { axisFactor, scales };</div><div class="line"><a name="l00165"></a><span class="lineno">  165</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00232">Tensor.cpp:232</a></div></div>
 576 <div class="ttc" id="classarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional&lt; unsigned int &gt;</a></div></div>
 577 <div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
 578 <div class="ttc" id="classarmnn_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>
 579 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional&lt; unsigned int &gt; GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00280">Tensor.cpp:280</a></div></div>
 580 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector&lt; float &gt; GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00237">Tensor.cpp:237</a></div></div>
 581 <div class="ttc" id="classarmnn_1_1_tensor_info_html_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00095">Tensor.hpp:95</a></div></div>
 582 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
 583 <div class="ttc" id="namespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00165">TypesUtils.hpp:165</a></div></div>
 584 <div class="ttc" id="namespacearmnn_utils_html_a276aac5f7a8bdc3db4f62203870ca13b"><div class="ttname"><a href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a></div><div class="ttdeci">unsigned int GetNumElementsAfter(const armnn::TensorShape &amp;shape, unsigned int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00140">TensorUtils.cpp:140</a></div></div>
 585 <div class="ttc" id="classarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T &amp; value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div>
 586 </div><!-- fragment -->
 587 </div>
 588 </div>
 589 <a id="acee63cd08da47910fc166a1990988fa8"></a>
 590 <h2 class="memtitle"><span class="permalink"><a href="#acee63cd08da47910fc166a1990988fa8">&#9670;&nbsp;</a></span>GetTensorInfo()</h2>
 591
 592 <div class="memitem">
 593 <div class="memproto">
 594       <table class="memname">
 595         <tr>
 596           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> GetTensorInfo </td>
 597           <td>(</td>
 598           <td class="paramtype">unsigned int&#160;</td>
 599           <td class="paramname"><em>numberOfBatches</em>, </td>
 600         </tr>
 601         <tr>
 602           <td class="paramkey"></td>
 603           <td></td>
 604           <td class="paramtype">unsigned int&#160;</td>
 605           <td class="paramname"><em>numberOfChannels</em>, </td>
 606         </tr>
 607         <tr>
 608           <td class="paramkey"></td>
 609           <td></td>
 610           <td class="paramtype">unsigned int&#160;</td>
 611           <td class="paramname"><em>height</em>, </td>
 612         </tr>
 613         <tr>
 614           <td class="paramkey"></td>
 615           <td></td>
 616           <td class="paramtype">unsigned int&#160;</td>
 617           <td class="paramname"><em>width</em>, </td>
 618         </tr>
 619         <tr>
 620           <td class="paramkey"></td>
 621           <td></td>
 622           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
 623           <td class="paramname"><em>dataLayout</em>, </td>
 624         </tr>
 625         <tr>
 626           <td class="paramkey"></td>
 627           <td></td>
 628           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a>&#160;</td>
 629           <td class="paramname"><em>dataType</em>&#160;</td>
 630         </tr>
 631         <tr>
 632           <td></td>
 633           <td>)</td>
 634           <td></td><td></td>
 635         </tr>
 636       </table>
 637 </div><div class="memdoc">
 638
 639 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00038">38</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 640
 641 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
 642
 643 <p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.html#l00611">CaffeParserBase::AddConvLayerWithDepthwiseConv()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l00419">CaffeParserBase::AddConvLayerWithSplits()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01671">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01338">CaffeParserBase::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01277">CaffeParserBase::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l00701">CaffeParserBase::ParseConvLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01230">CaffeParserBase::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01134">CaffeParserBase::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01027">CaffeParserBase::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l00883">CaffeParserBase::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01001">CaffeParserBase::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01404">CaffeParserBase::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.html#l01208">CaffeParserBase::ParseSoftmaxLayer()</a>, and <a class="el" href="_conv2d_test_impl_8cpp_source.html#l00201">SimpleConvolution2dTestImpl()</a>.</p>
 644 <div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;{</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    {</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;        <span class="keywordflow">case</span> DataLayout::NCHW:</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, numberOfChannels, height, width}, dataType);</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keywordflow">case</span> DataLayout::NHWC:</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, height, width, numberOfChannels}, dataType);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown data layout [&quot;</span></div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;                                                  + std::to_string(static_cast&lt;int&gt;(dataLayout)) +</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;                                                  <span class="stringliteral">&quot;]&quot;</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    }</div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;}</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>
 645 <div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
 646 <div class="ttc" id="classarmnn_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>
 647 </div><!-- fragment -->
 648 </div>
 649 </div>
 650 <a id="ab53d94ea22b51c6bcdf9584644bd67bb"></a>
 651 <h2 class="memtitle"><span class="permalink"><a href="#ab53d94ea22b51c6bcdf9584644bd67bb">&#9670;&nbsp;</a></span>GetTensorShape()</h2>
 652
 653 <div class="memitem">
 654 <div class="memproto">
 655       <table class="memname">
 656         <tr>
 657           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> GetTensorShape </td>
 658           <td>(</td>
 659           <td class="paramtype">unsigned int&#160;</td>
 660           <td class="paramname"><em>numberOfBatches</em>, </td>
 661         </tr>
 662         <tr>
 663           <td class="paramkey"></td>
 664           <td></td>
 665           <td class="paramtype">unsigned int&#160;</td>
 666           <td class="paramname"><em>numberOfChannels</em>, </td>
 667         </tr>
 668         <tr>
 669           <td class="paramkey"></td>
 670           <td></td>
 671           <td class="paramtype">unsigned int&#160;</td>
 672           <td class="paramname"><em>height</em>, </td>
 673         </tr>
 674         <tr>
 675           <td class="paramkey"></td>
 676           <td></td>
 677           <td class="paramtype">unsigned int&#160;</td>
 678           <td class="paramname"><em>width</em>, </td>
 679         </tr>
 680         <tr>
 681           <td class="paramkey"></td>
 682           <td></td>
 683           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a>&#160;</td>
 684           <td class="paramname"><em>dataLayout</em>&#160;</td>
 685         </tr>
 686         <tr>
 687           <td></td>
 688           <td>)</td>
 689           <td></td><td></td>
 690         </tr>
 691       </table>
 692 </div><div class="memdoc">
 693
 694 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00019">19</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 695
 696 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
 697 <div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    {</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        <span class="keywordflow">case</span> DataLayout::NCHW:</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numberOfBatches, numberOfChannels, height, width});</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;        <span class="keywordflow">case</span> DataLayout::NHWC:</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;            <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numberOfBatches, height, width, numberOfChannels});</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;        <span class="keywordflow">default</span>:</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;            <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">&quot;Unknown data layout [&quot;</span></div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                                                  + std::to_string(static_cast&lt;int&gt;(dataLayout)) +</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                                                  <span class="stringliteral">&quot;]&quot;</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;    }</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;}</div><div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
 698 <div class="ttc" id="classarmnn_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>
 699 <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
 700 </div><!-- fragment -->
 701 </div>
 702 </div>
 703 <a id="ac93cb1365b4bcb67df2a3164606096c5"></a>
 704 <h2 class="memtitle"><span class="permalink"><a href="#ac93cb1365b4bcb67df2a3164606096c5">&#9670;&nbsp;</a></span>GetUnsignedAxis()</h2>
 705
 706 <div class="memitem">
 707 <div class="memproto">
 708       <table class="memname">
 709         <tr>
 710           <td class="memname">unsigned int GetUnsignedAxis </td>
 711           <td>(</td>
 712           <td class="paramtype">const unsigned int&#160;</td>
 713           <td class="paramname"><em>inputDimension</em>, </td>
 714         </tr>
 715         <tr>
 716           <td class="paramkey"></td>
 717           <td></td>
 718           <td class="paramtype">const int&#160;</td>
 719           <td class="paramname"><em>axis</em>&#160;</td>
 720         </tr>
 721         <tr>
 722           <td></td>
 723           <td>)</td>
 724           <td></td><td></td>
 725         </tr>
 726       </table>
 727 </div><div class="memdoc">
 728
 729 <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00127">127</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p>
 730
 731 <p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.html#l00015">armnn::ArgMinMax()</a>, <a class="el" href="_cl_arg_min_max_workload_8cpp_source.html#l00054">ClArgMinMaxWorkload::ClArgMinMaxWorkload()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00035">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_neon_arg_min_max_workload_8cpp_source.html#l00053">NeonArgMinMaxWorkload::NeonArgMinMaxWorkload()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00614">ArgMinMaxQueueDescriptor::Validate()</a>.</p>
 732 <div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;{</div><div class="line"><a name="l00129"></a><span class="lineno">  129</span>&#160;    BOOST_ASSERT_MSG(axis &lt; boost::numeric_cast&lt;int&gt;(inputDimension),</div><div class="line"><a name="l00130"></a><span class="lineno">  130</span>&#160;                     <span class="stringliteral">&quot;Required axis index greater than number of dimensions.&quot;</span>);</div><div class="line"><a name="l00131"></a><span class="lineno">  131</span>&#160;    BOOST_ASSERT_MSG(axis &gt;= -boost::numeric_cast&lt;int&gt;(inputDimension),</div><div class="line"><a name="l00132"></a><span class="lineno">  132</span>&#160;                     <span class="stringliteral">&quot;Required axis index lower than negative of the number of dimensions&quot;</span>);</div><div class="line"><a name="l00133"></a><span class="lineno">  133</span>&#160;</div><div class="line"><a name="l00134"></a><span class="lineno">  134</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> uAxis = axis &lt; 0  ?</div><div class="line"><a name="l00135"></a><span class="lineno">  135</span>&#160;                         inputDimension - boost::numeric_cast&lt;<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>&gt;(<a class="code" href="structarmnn_1_1abs.html">abs</a>(axis))</div><div class="line"><a name="l00136"></a><span class="lineno">  136</span>&#160;                         : boost::numeric_cast&lt;unsigned int&gt;(axis);</div><div class="line"><a name="l00137"></a><span class="lineno">  137</span>&#160;    <span class="keywordflow">return</span> uAxis;</div><div class="line"><a name="l00138"></a><span class="lineno">  138</span>&#160;}</div><div class="ttc" id="structarmnn_1_1abs_html"><div class="ttname"><a href="structarmnn_1_1abs.html">armnn::abs</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_8hpp_source.html#l00013">Abs.hpp:13</a></div></div>
 733 </div><!-- fragment -->
 734 </div>
 735 </div>
 736 <a id="a662b45b5a4d48a01e967c0b28b6a552b"></a>
 737 <h2 class="memtitle"><span class="permalink"><a href="#a662b45b5a4d48a01e967c0b28b6a552b">&#9670;&nbsp;</a></span>GraphTopologicalSort()</h2>
 738
 739 <div class="memitem">
 740 <div class="memproto">
 741       <table class="memname">
 742         <tr>
 743           <td class="memname">bool armnnUtils::GraphTopologicalSort </td>
 744           <td>(</td>
 745           <td class="paramtype">const TTargetNodes &amp;&#160;</td>
 746           <td class="paramname"><em>targetNodes</em>, </td>
 747         </tr>
 748         <tr>
 749           <td class="paramkey"></td>
 750           <td></td>
 751           <td class="paramtype">std::function&lt; std::vector&lt; TNodeId &gt;(TNodeId)&gt;&#160;</td>
 752           <td class="paramname"><em>getIncomingEdges</em>, </td>
 753         </tr>
 754         <tr>
 755           <td class="paramkey"></td>
 756           <td></td>
 757           <td class="paramtype">std::vector&lt; TNodeId &gt; &amp;&#160;</td>
 758           <td class="paramname"><em>outSorted</em>&#160;</td>
 759         </tr>
 760         <tr>
 761           <td></td>
 762           <td>)</td>
 763           <td></td><td></td>
 764         </tr>
 765       </table>
 766 </div><div class="memdoc">
 767
 768 <p class="definition">Definition at line <a class="el" href="_graph_topological_sort_8hpp_source.html#l00111">111</a> of file <a class="el" href="_graph_topological_sort_8hpp_source.html">GraphTopologicalSort.hpp</a>.</p>
 769 <div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    outSorted.clear();</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    std::map&lt;TNodeId, NodeState&gt; nodeStates;</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;    <span class="keywordflow">for</span> (TNodeId targetNode : targetNodes)</div><div class="line"><a name="l00120"></a><span class="lineno">  120</span>&#160;    {</div><div class="line"><a name="l00121"></a><span class="lineno">  121</span>&#160;        <span class="keywordflow">if</span> (!TopologicallySort(targetNode, getIncomingEdges, outSorted, nodeStates))</div><div class="line"><a name="l00122"></a><span class="lineno">  122</span>&#160;        {</div><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;            <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;        }</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;    }</div><div class="line"><a name="l00126"></a><span class="lineno">  126</span>&#160;</div><div class="line"><a name="l00127"></a><span class="lineno">  127</span>&#160;    <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00128"></a><span class="lineno">  128</span>&#160;}</div></div><!-- fragment -->
 770 </div>
 771 </div>
 772 <a id="ad5310a199d4969927169ed084b1f6c28"></a>
 773 <h2 class="memtitle"><span class="permalink"><a href="#ad5310a199d4969927169ed084b1f6c28">&#9670;&nbsp;</a></span>MakeInputTensors()</h2>
 774
 775 <div class="memitem">
 776 <div class="memproto">
 777 <table class="mlabels">
 778   <tr>
 779   <td class="mlabels-left">
 780       <table class="memname">
 781         <tr>
 782           <td class="memname"><a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> armnnUtils::MakeInputTensors </td>
 783           <td>(</td>
 784           <td class="paramtype">const std::vector&lt; <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> &gt; &amp;&#160;</td>
 785           <td class="paramname"><em>inputBindings</em>, </td>
 786         </tr>
 787         <tr>
 788           <td class="paramkey"></td>
 789           <td></td>
 790           <td class="paramtype">const std::vector&lt; <a class="el" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> &gt; &amp;&#160;</td>
 791           <td class="paramname"><em>inputDataContainers</em>&#160;</td>
 792         </tr>
 793         <tr>
 794           <td></td>
 795           <td>)</td>
 796           <td></td><td></td>
 797         </tr>
 798       </table>
 799   </td>
 800   <td class="mlabels-right">
 801 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 802   </tr>
 803 </table>
 804 </div><div class="memdoc">
 805
 806 <p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.html#l00017">17</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.html">TensorIOUtils.hpp</a>.</p>
 807
 808 <p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.html#l00550">InferenceModel&lt; IParser, TDataType &gt;::GetAllQuantizationParams()</a>, <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.html#l00049">main()</a>, and <a class="el" href="_inference_model_8hpp_source.html#l00461">InferenceModel&lt; IParser, TDataType &gt;::Run()</a>.</p>
 809 <div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno">   19</span>&#160;{</div><div class="line"><a name="l00020"></a><span class="lineno">   20</span>&#160;    <a class="code" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> numInputs = inputBindings.size();</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    <span class="keywordflow">if</span> (numInputs != inputDataContainers.size())</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;    {</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(<span class="stringliteral">&quot;The number of inputs does not match number of &quot;</span></div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;                                                        <span class="stringliteral">&quot;tensor data containers: %1% != %2%&quot;</span>)</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;                                          % numInputs</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;                                          % inputDataContainers.size()));</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    }</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; numInputs; i++)</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;    {</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;        <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>&amp; inputBinding = inputBindings[i];</div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;        <span class="keyword">const</span> <a class="code" href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>&amp; inputData = inputDataContainers[i];</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;        boost::apply_visitor([&amp;](<span class="keyword">auto</span>&amp;&amp; value)</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;        {</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;            <span class="keywordflow">if</span> (value.size() != inputBinding.second.GetNumElements())</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;            {</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;               <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(<span class="stringliteral">&quot;The input tensor has incorrect size &quot;</span></div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;                                                               <span class="stringliteral">&quot;(expected %1% got %2%)&quot;</span>)</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;                                                 % inputBinding.second.GetNumElements()</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;                                                 % value.size()));</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;            }</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;            <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> inputTensor(inputBinding.second, value.data());</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;            inputTensors.push_back(std::make_pair(inputBinding.first, inputTensor));</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        },</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        inputData);</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    }</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    <span class="keywordflow">return</span> inputTensors;</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;}</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>
 810 <div class="ttc" id="namespacearmnn_html_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair&lt; armnn::LayerBindingId, armnn::TensorInfo &gt; BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00146">Tensor.hpp:146</a></div></div>
 811 <div class="ttc" id="namespacearmnn_html_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector&lt; std::pair&lt; LayerBindingId, class ConstTensor &gt; &gt; InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00225">Tensor.hpp:225</a></div></div>
 812 <div class="ttc" id="classarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
 813 <div class="ttc" id="_model_accuracy_checker_test_8cpp_html_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a></div><div class="ttdeci">boost::variant&lt; std::vector&lt; float &gt;, std::vector&lt; int &gt;, std::vector&lt; unsigned char &gt; &gt; TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.html#l00059">ModelAccuracyCheckerTest.cpp:59</a></div></div>
 814 </div><!-- fragment -->
 815 </div>
 816 </div>
 817 <a id="ad4efd5a7fa660df5246466d83517220d"></a>
 818 <h2 class="memtitle"><span class="permalink"><a href="#ad4efd5a7fa660df5246466d83517220d">&#9670;&nbsp;</a></span>MakeOutputTensors()</h2>
 819
 820 <div class="memitem">
 821 <div class="memproto">
 822 <table class="mlabels">
 823   <tr>
 824   <td class="mlabels-left">
 825       <table class="memname">
 826         <tr>
 827           <td class="memname"><a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> armnnUtils::MakeOutputTensors </td>
 828           <td>(</td>
 829           <td class="paramtype">const std::vector&lt; <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> &gt; &amp;&#160;</td>
 830           <td class="paramname"><em>outputBindings</em>, </td>
 831         </tr>
 832         <tr>
 833           <td class="paramkey"></td>
 834           <td></td>
 835           <td class="paramtype">std::vector&lt; <a class="el" href="namespacearmnn.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a> &gt; &amp;&#160;</td>
 836           <td class="paramname"><em>outputDataContainers</em>&#160;</td>
 837         </tr>
 838         <tr>
 839           <td></td>
 840           <td>)</td>
 841           <td></td><td></td>
 842         </tr>
 843       </table>
 844   </td>
 845   <td class="mlabels-right">
 846 <span class="mlabels"><span class="mlabel">inline</span></span>  </td>
 847   </tr>
 848 </table>
 849 </div><div class="memdoc">
 850
 851 <p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.html#l00056">56</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.html">TensorIOUtils.hpp</a>.</p>
 852
 853 <p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.html#l00550">InferenceModel&lt; IParser, TDataType &gt;::GetAllQuantizationParams()</a>, <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.html#l00049">main()</a>, and <a class="el" href="_inference_model_8hpp_source.html#l00461">InferenceModel&lt; IParser, TDataType &gt;::Run()</a>.</p>
 854 <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;{</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = outputBindings.size();</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;    <span class="keywordflow">if</span> (numOutputs != outputDataContainers.size())</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;    {</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(boost::str(boost::format(<span class="stringliteral">&quot;Number of outputs does not match number of &quot;</span></div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                                                        <span class="stringliteral">&quot;tensor data containers: %1% != %2%&quot;</span>)</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                                          % numOutputs</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;                                          % outputDataContainers.size()));</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    }</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i &lt; numOutputs; i++)</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    {</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;        <span class="keyword">const</span> <a class="code" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>&amp; outputBinding = outputBindings[i];</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        <a class="code" href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a>&amp; outputData = outputDataContainers[i];</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;        boost::apply_visitor([&amp;](<span class="keyword">auto</span>&amp;&amp; value)</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;        {</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;            <span class="keywordflow">if</span> (value.size() != outputBinding.second.GetNumElements())</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;            {</div><div class="line"><a name="l00079"></a><span class="lineno">   79</span>&#160;                <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(<span class="stringliteral">&quot;Output tensor has incorrect size&quot;</span>);</div><div class="line"><a name="l00080"></a><span class="lineno">   80</span>&#160;            }</div><div class="line"><a name="l00081"></a><span class="lineno">   81</span>&#160;</div><div class="line"><a name="l00082"></a><span class="lineno">   82</span>&#160;            <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> outputTensor(outputBinding.second, value.data());</div><div class="line"><a name="l00083"></a><span class="lineno">   83</span>&#160;            outputTensors.push_back(std::make_pair(outputBinding.first, outputTensor));</div><div class="line"><a name="l00084"></a><span class="lineno">   84</span>&#160;        },</div><div class="line"><a name="l00085"></a><span class="lineno">   85</span>&#160;        outputData);</div><div class="line"><a name="l00086"></a><span class="lineno">   86</span>&#160;    }</div><div class="line"><a name="l00087"></a><span class="lineno">   87</span>&#160;</div><div class="line"><a name="l00088"></a><span class="lineno">   88</span>&#160;    <span class="keywordflow">return</span> outputTensors;</div><div class="line"><a name="l00089"></a><span class="lineno">   89</span>&#160;}</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&lt; std::pair&lt; LayerBindingId, class Tensor &gt; &gt; OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00226">Tensor.hpp:226</a></div></div>
 855 <div class="ttc" id="namespacearmnn_html_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair&lt; armnn::LayerBindingId, armnn::TensorInfo &gt; BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00146">Tensor.hpp:146</a></div></div>
 856 <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>
 857 <div class="ttc" id="classarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those. </div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div>
 858 <div class="ttc" id="_model_accuracy_checker_test_8cpp_html_a9eb69ebdaf4ceb8014e7c8a540266100"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.html#a9eb69ebdaf4ceb8014e7c8a540266100">TContainer</a></div><div class="ttdeci">boost::variant&lt; std::vector&lt; float &gt;, std::vector&lt; int &gt;, std::vector&lt; unsigned char &gt; &gt; TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.html#l00059">ModelAccuracyCheckerTest.cpp:59</a></div></div>
 859 </div><!-- fragment -->
 860 </div>
 861 </div>
 862 <a id="ab075020544612cd151ebdd08db537396"></a>
 863 <h2 class="memtitle"><span class="permalink"><a href="#ab075020544612cd151ebdd08db537396">&#9670;&nbsp;</a></span>NonNegative()</h2>
 864
 865 <div class="memitem">
 866 <div class="memproto">
 867       <table class="memname">
 868         <tr>
 869           <td class="memname">uint32_t NonNegative </td>
 870           <td>(</td>
 871           <td class="paramtype">const char *&#160;</td>
 872           <td class="paramname"><em>expr</em>, </td>
 873         </tr>
 874         <tr>
 875           <td class="paramkey"></td>
 876           <td></td>
 877           <td class="paramtype">int32_t&#160;</td>
 878           <td class="paramname"><em>value</em>, </td>
 879         </tr>
 880         <tr>
 881           <td class="paramkey"></td>
 882           <td></td>
 883           <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &amp;&#160;</td>
 884           <td class="paramname"><em>location</em>&#160;</td>
 885         </tr>
 886         <tr>
 887           <td></td>
 888           <td>)</td>
 889           <td></td><td></td>
 890         </tr>
 891       </table>
 892 </div><div class="memdoc">
 893
 894 <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00036">36</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</a>.</p>
 895
 896 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p>
 897 <div class="fragment"><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;{</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keywordflow">if</span> (value &lt; 0)</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    {</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;            boost::str(</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;                boost::format(<span class="stringliteral">&quot;&#39;%1%&#39; must be non-negative, received: %2% at %3%&quot;</span>) %</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;                              expr %</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;                              value %</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;                              location.<a class="code" href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">AsString</a>() ));</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    }</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;    {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>uint32_t<span class="keyword">&gt;</span>(value);</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;    }</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
 898 <div class="ttc" id="structarmnn_1_1_check_location_html_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00029">Exceptions.hpp:29</a></div></div>
 899 </div><!-- fragment -->
 900 </div>
 901 </div>
 902 <a id="a49ba5984d8cde4299d8ef15c9e556587"></a>
 903 <h2 class="memtitle"><span class="permalink"><a href="#a49ba5984d8cde4299d8ef15c9e556587">&#9670;&nbsp;</a></span>operator==() <span class="overload">[1/2]</span></h2>
 904
 905 <div class="memitem">
 906 <div class="memproto">
 907       <table class="memname">
 908         <tr>
 909           <td class="memname">bool operator== </td>
 910           <td>(</td>
 911           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &amp;&#160;</td>
 912           <td class="paramname"><em>dataLayout</em>, </td>
 913         </tr>
 914         <tr>
 915           <td class="paramkey"></td>
 916           <td></td>
 917           <td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> &amp;&#160;</td>
 918           <td class="paramname"><em>indexed</em>&#160;</td>
 919         </tr>
 920         <tr>
 921           <td></td>
 922           <td>)</td>
 923           <td></td><td></td>
 924         </tr>
 925       </table>
 926 </div><div class="memdoc">
 927
 928 <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.html#l00034">34</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a>.</p>
 929
 930 <p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p>
 931
 932 <p class="reference">Referenced by <a class="el" href="_optional_test_8cpp_source.html#l00121">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_layer_8hpp_source.html#l00151">OutputSlot::Disconnect()</a>, and <a class="el" href="_data_layout_indexed_8hpp_source.html#l00027">DataLayoutIndexed::GetIndex()</a>.</p>
 933 <div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;{</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;    <span class="keywordflow">return</span> dataLayout == indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>();</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;}</div><div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_html_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">armnnUtils::DataLayoutIndexed::GetDataLayout</a></div><div class="ttdeci">armnn::DataLayout GetDataLayout() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed.hpp:22</a></div></div>
 934 </div><!-- fragment -->
 935 </div>
 936 </div>
 937 <a id="a0448088ed94f810bd2464f3afd1859f0"></a>
 938 <h2 class="memtitle"><span class="permalink"><a href="#a0448088ed94f810bd2464f3afd1859f0">&#9670;&nbsp;</a></span>operator==() <span class="overload">[2/2]</span></h2>
 939
 940 <div class="memitem">
 941 <div class="memproto">
 942       <table class="memname">
 943         <tr>
 944           <td class="memname">bool operator== </td>
 945           <td>(</td>
 946           <td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> &amp;&#160;</td>
 947           <td class="paramname"><em>indexed</em>, </td>
 948         </tr>
 949         <tr>
 950           <td class="paramkey"></td>
 951           <td></td>
 952           <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &amp;&#160;</td>
 953           <td class="paramname"><em>dataLayout</em>&#160;</td>
 954         </tr>
 955         <tr>
 956           <td></td>
 957           <td>)</td>
 958           <td></td><td></td>
 959         </tr>
 960       </table>
 961 </div><div class="memdoc">
 962
 963 <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.html#l00039">39</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a>.</p>
 964
 965 <p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p>
 966 <div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;{</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    <span class="keywordflow">return</span> indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>() == dataLayout;</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;}</div><div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_html_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">armnnUtils::DataLayoutIndexed::GetDataLayout</a></div><div class="ttdeci">armnn::DataLayout GetDataLayout() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed.hpp:22</a></div></div>
 967 </div><!-- fragment -->
 968 </div>
 969 </div>
 970 <a id="aed9a30e912d18171e93fcf58e0f219cb"></a>
 971 <h2 class="memtitle"><span class="permalink"><a href="#aed9a30e912d18171e93fcf58e0f219cb">&#9670;&nbsp;</a></span>ParseLine()</h2>
 972
 973 <div class="memitem">
 974 <div class="memproto">
 975       <table class="memname">
 976         <tr>
 977           <td class="memname"><a class="el" href="structarmnn_utils_1_1_csv_row.html">CsvRow</a> armnnUtils::ParseLine </td>
 978           <td>(</td>
 979           <td class="paramtype">const std::string &amp;&#160;</td>
 980           <td class="paramname"><em>csvLine</em></td><td>)</td>
 981           <td></td>
 982         </tr>
 983       </table>
 984 </div><div class="memdoc">
 985
 986 <p class="definition">Definition at line <a class="el" href="_csv_reader_8cpp_source.html#l00020">20</a> of file <a class="el" href="_csv_reader_8cpp_source.html">CsvReader.cpp</a>.</p>
 987
 988 <p class="reference">References <a class="el" href="_csv_reader_8hpp_source.html#l00015">CsvRow::values</a>.</p>
 989
 990 <p class="reference">Referenced by <a class="el" href="_csv_reader_8cpp_source.html#l00032">CsvReader::ParseFile()</a>, and <a class="el" href="_csv_reader_8cpp_source.html#l00052">CsvReader::ParseVector()</a>.</p>
 991 <div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno">   21</span>&#160;{</div><div class="line"><a name="l00022"></a><span class="lineno">   22</span>&#160;    <a class="code" href="_csv_reader_8cpp.html#aafb3a3f74dda3391f17caeaaaca1c0c8">Tokenizer</a> tokenizer(csvLine);</div><div class="line"><a name="l00023"></a><span class="lineno">   23</span>&#160;    CsvRow entry;</div><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">const</span> <span class="keyword">auto</span> &amp;token : tokenizer)</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;    {</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;        entry.values.push_back(boost::trim_copy(token));</div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    }</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    <span class="keywordflow">return</span> entry;</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;}</div><div class="ttc" id="_csv_reader_8cpp_html_aafb3a3f74dda3391f17caeaaaca1c0c8"><div class="ttname"><a href="_csv_reader_8cpp.html#aafb3a3f74dda3391f17caeaaaca1c0c8">Tokenizer</a></div><div class="ttdeci">boost::tokenizer&lt; boost::escaped_list_separator&lt; char &gt; &gt; Tokenizer</div><div class="ttdef"><b>Definition:</b> <a href="_csv_reader_8cpp_source.html#l00015">CsvReader.cpp:15</a></div></div>
 992 </div><!-- fragment -->
 993 </div>
 994 </div>
 995 <a id="af3c74017185773dd61d8ca6662d65d43"></a>
 996 <h2 class="memtitle"><span class="permalink"><a href="#af3c74017185773dd61d8ca6662d65d43">&#9670;&nbsp;</a></span>Permute()</h2>
 997
 998 <div class="memitem">
 999 <div class="memproto">
1000       <table class="memname">
1001         <tr>
1002           <td class="memname">void Permute </td>
1003           <td>(</td>
1004           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
1005           <td class="paramname"><em>dstShape</em>, </td>
1006         </tr>
1007         <tr>
1008           <td class="paramkey"></td>
1009           <td></td>
1010           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
1011           <td class="paramname"><em>mappings</em>, </td>
1012         </tr>
1013         <tr>
1014           <td class="paramkey"></td>
1015           <td></td>
1016           <td class="paramtype">const void *&#160;</td>
1017           <td class="paramname"><em>src</em>, </td>
1018         </tr>
1019         <tr>
1020           <td class="paramkey"></td>
1021           <td></td>
1022           <td class="paramtype">void *&#160;</td>
1023           <td class="paramname"><em>dst</em>, </td>
1024         </tr>
1025         <tr>
1026           <td class="paramkey"></td>
1027           <td></td>
1028           <td class="paramtype">size_t&#160;</td>
1029           <td class="paramname"><em>dataTypeSize</em>&#160;</td>
1030         </tr>
1031         <tr>
1032           <td></td>
1033           <td>)</td>
1034           <td></td><td></td>
1035         </tr>
1036       </table>
1037 </div><div class="memdoc">
1038
1039 <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00121">121</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p>
1040
1041 <p class="reference">Referenced by <a class="el" href="_serializer_tests_8cpp_source.html#l01882">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tf_parser_8cpp_source.html#l00931">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01381">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01518">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.html#l01671">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00020">PermuteLayer::PermuteLayer()</a>, <a class="el" href="_data_layout_utils_8hpp_source.html#l00014">PermuteTensorNchwToNhwc()</a>, <a class="el" href="_data_layout_utils_8hpp_source.html#l00026">PermuteTensorNhwcToNchw()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.html#l00091">PrepareImageTensor&lt; float &gt;()</a>, and <a class="el" href="_conv2d_test_impl_8cpp_source.html#l00201">SimpleConvolution2dTestImpl()</a>.</p>
1042 <div class="fragment"><div class="line"><a name="l00123"></a><span class="lineno">  123</span>&#160;{</div><div class="line"><a name="l00124"></a><span class="lineno">  124</span>&#160;    PermuteLoop(dstShape, mappings).Unroll(src, dst, dataTypeSize);</div><div class="line"><a name="l00125"></a><span class="lineno">  125</span>&#160;}</div></div><!-- fragment -->
1043 </div>
1044 </div>
1045 <a id="abeaf4f6785039866fd075f4569ba8e84"></a>
1046 <h2 class="memtitle"><span class="permalink"><a href="#abeaf4f6785039866fd075f4569ba8e84">&#9670;&nbsp;</a></span>Permuted() <span class="overload">[1/2]</span></h2>
1047
1048 <div class="memitem">
1049 <div class="memproto">
1050       <table class="memname">
1051         <tr>
1052           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> Permuted </td>
1053           <td>(</td>
1054           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &amp;&#160;</td>
1055           <td class="paramname"><em>srcShape</em>, </td>
1056         </tr>
1057         <tr>
1058           <td class="paramkey"></td>
1059           <td></td>
1060           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
1061           <td class="paramname"><em>mappings</em>&#160;</td>
1062         </tr>
1063         <tr>
1064           <td></td>
1065           <td>)</td>
1066           <td></td><td></td>
1067         </tr>
1068       </table>
1069 </div><div class="memdoc">
1070
1071 <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00098">98</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p>
1072
1073 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00043">TensorShape::GetNumDimensions()</a>, <a class="el" href="_types_8hpp_source.html#l00199">PermutationVector::GetSize()</a>, and <a class="el" href="_types_8hpp_source.html#l00018">armnn::MaxNumOfTensorDimensions</a>.</p>
1074
1075 <p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.html#l00931">armnnTfParser::ConvertTfTensorDataType()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00109">armnn::ConvertWeightTensorInfoFromArmnnToAcl()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00036">PermuteLayer::InferOutputShapes()</a>, <a class="el" href="_permute_8cpp_source.html#l00114">Permuted()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l00171">PermuteInputsForConcat()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00013">armnn::PermuteTensor()</a>, <a class="el" href="_concat_test_impl_8cpp_source.html#l00121">PermuteTensorData()</a>, <a class="el" href="_data_layout_utils_8hpp_source.html#l00014">PermuteTensorNchwToNhwc()</a>, <a class="el" href="_data_layout_utils_8hpp_source.html#l00026">PermuteTensorNhwcToNchw()</a>, and <a class="el" href="_move_permute_up_8hpp_source.html#l00022">MovePermuteUpImpl::Run()</a>.</p>
1076 <div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;{</div><div class="line"><a name="l00100"></a><span class="lineno">  100</span>&#160;    assert(srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>());</div><div class="line"><a name="l00101"></a><span class="lineno">  101</span>&#160;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;    <span class="keyword">const</span> <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDims = mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>();</div><div class="line"><a name="l00103"></a><span class="lineno">  103</span>&#160;    <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDims[<a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a>];</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;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0U; i &lt; numDims; ++i)</div><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;    {</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;        outDims[mappings[i]] = srcShape[i];</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;    }</div><div class="line"><a name="l00109"></a><span class="lineno">  109</span>&#160;</div><div class="line"><a name="l00110"></a><span class="lineno">  110</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> permutedShape(numDims, outDims);</div><div class="line"><a name="l00111"></a><span class="lineno">  111</span>&#160;    <span class="keywordflow">return</span> permutedShape;</div><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00043">Tensor.hpp:43</a></div></div>
1077 <div class="ttc" id="classarmnn_1_1_permutation_vector_html_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00199">Types.hpp:199</a></div></div>
1078 <div class="ttc" id="namespacearmnn_html_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00018">Types.hpp:18</a></div></div>
1079 <div class="ttc" id="classarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div>
1080 </div><!-- fragment -->
1081 </div>
1082 </div>
1083 <a id="a2ba6f6f40c7382b61b00ac02f961ba22"></a>
1084 <h2 class="memtitle"><span class="permalink"><a href="#a2ba6f6f40c7382b61b00ac02f961ba22">&#9670;&nbsp;</a></span>Permuted() <span class="overload">[2/2]</span></h2>
1085
1086 <div class="memitem">
1087 <div class="memproto">
1088       <table class="memname">
1089         <tr>
1090           <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> Permuted </td>
1091           <td>(</td>
1092           <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
1093           <td class="paramname"><em>info</em>, </td>
1094         </tr>
1095         <tr>
1096           <td class="paramkey"></td>
1097           <td></td>
1098           <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &amp;&#160;</td>
1099           <td class="paramname"><em>mappings</em>&#160;</td>
1100         </tr>
1101         <tr>
1102           <td></td>
1103           <td>)</td>
1104           <td></td><td></td>
1105         </tr>
1106       </table>
1107 </div><div class="memdoc">
1108
1109 <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00114">114</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p>
1110
1111 <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, <a class="el" href="_permute_8cpp_source.html#l00098">Permuted()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00090">TensorInfo::SetShape()</a>.</p>
1112 <div class="fragment"><div class="line"><a name="l00115"></a><span class="lineno">  115</span>&#160;{</div><div class="line"><a name="l00116"></a><span class="lineno">  116</span>&#160;    <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outInfo(info);</div><div class="line"><a name="l00117"></a><span class="lineno">  117</span>&#160;    outInfo.SetShape(<a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">Permuted</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings));</div><div class="line"><a name="l00118"></a><span class="lineno">  118</span>&#160;    <span class="keywordflow">return</span> outInfo;</div><div class="line"><a name="l00119"></a><span class="lineno">  119</span>&#160;}</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>
1113 <div class="ttc" id="namespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &amp;srcShape, const armnn::PermutationVector &amp;mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00098">Permute.cpp:98</a></div></div>
1114 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
1115 </div><!-- fragment -->
1116 </div>
1117 </div>
1118 <a id="a523deabeb7d0a884028b35eebfd1cb6c"></a>
1119 <h2 class="memtitle"><span class="permalink"><a href="#a523deabeb7d0a884028b35eebfd1cb6c">&#9670;&nbsp;</a></span>ProcessConcatInputTensorInfo()</h2>
1120
1121 <div class="memitem">
1122 <div class="memproto">
1123       <table class="memname">
1124         <tr>
1125           <td class="memname">void ProcessConcatInputTensorInfo </td>
1126           <td>(</td>
1127           <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &amp;&#160;</td>
1128           <td class="paramname"><em>inputTensorInfo</em>, </td>
1129         </tr>
1130         <tr>
1131           <td class="paramkey"></td>
1132           <td></td>
1133           <td class="paramtype"><a class="el" href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a> &amp;&#160;</td>
1134           <td class="paramname"><em>concatDescriptor</em>, </td>
1135         </tr>
1136         <tr>
1137           <td class="paramkey"></td>
1138           <td></td>
1139           <td class="paramtype">const unsigned int &amp;&#160;</td>
1140           <td class="paramname"><em>concatAxis</em>, </td>
1141         </tr>
1142         <tr>
1143           <td class="paramkey"></td>
1144           <td></td>
1145           <td class="paramtype">unsigned int&#160;</td>
1146           <td class="paramname"><em>inputIndex</em>, </td>
1147         </tr>
1148         <tr>
1149           <td class="paramkey"></td>
1150           <td></td>
1151           <td class="paramtype">unsigned int &amp;&#160;</td>
1152           <td class="paramname"><em>mergeDimOrigin</em>&#160;</td>
1153         </tr>
1154         <tr>
1155           <td></td>
1156           <td>)</td>
1157           <td></td><td></td>
1158         </tr>
1159       </table>
1160 </div><div class="memdoc">
1161
1162 <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00019">19</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p>
1163
1164 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00169">CHECK_LOCATION</a>, <a class="el" href="_tensor_8hpp_source.html#l00092">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00184">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00088">TensorInfo::GetShape()</a>, and <a class="el" href="_descriptors_8cpp_source.html#l00159">OriginsDescriptor::SetViewOriginCoord()</a>.</p>
1165
1166 <p class="reference">Referenced by <a class="el" href="_tf_lite_parser_8cpp_source.html#l01901">TfLiteParser::OutputShapeOfReshape()</a>.</p>
1167 <div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno">   24</span>&#160;{</div><div class="line"><a name="l00025"></a><span class="lineno">   25</span>&#160;    <span class="keyword">const</span> uint32_t inputRank = concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div><div class="line"><a name="l00026"></a><span class="lineno">   26</span>&#160;</div><div class="line"><a name="l00027"></a><span class="lineno">   27</span>&#160;    <span class="comment">// double check dimensions of the tensors</span></div><div class="line"><a name="l00028"></a><span class="lineno">   28</span>&#160;    <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != inputRank)</div><div class="line"><a name="l00029"></a><span class="lineno">   29</span>&#160;    {</div><div class="line"><a name="l00030"></a><span class="lineno">   30</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a>(</div><div class="line"><a name="l00031"></a><span class="lineno">   31</span>&#160;            boost::str(</div><div class="line"><a name="l00032"></a><span class="lineno">   32</span>&#160;                boost::format(</div><div class="line"><a name="l00033"></a><span class="lineno">   33</span>&#160;                    <span class="stringliteral">&quot;The number of dimensions: %1% for input tensors of the &quot;</span></div><div class="line"><a name="l00034"></a><span class="lineno">   34</span>&#160;                    <span class="stringliteral">&quot;concatenation op should be %2% %3%&quot;</span>)</div><div class="line"><a name="l00035"></a><span class="lineno">   35</span>&#160;                % inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()</div><div class="line"><a name="l00036"></a><span class="lineno">   36</span>&#160;                % inputRank</div><div class="line"><a name="l00037"></a><span class="lineno">   37</span>&#160;                % <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00038"></a><span class="lineno">   38</span>&#160;    }</div><div class="line"><a name="l00039"></a><span class="lineno">   39</span>&#160;</div><div class="line"><a name="l00040"></a><span class="lineno">   40</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j &lt; concatAxis; ++j)</div><div class="line"><a name="l00041"></a><span class="lineno">   41</span>&#160;    {</div><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;        concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    }</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, concatAxis, mergeDimOrigin);</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    mergeDimOrigin += inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[concatAxis];</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;    <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = concatAxis + 1; j &lt; inputRank; ++j)</div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;    {</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.html#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;    }</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00092">Tensor.hpp:92</a></div></div>
1168 <div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
1169 <div class="ttc" id="structarmnn_1_1_origins_descriptor_html_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00159">Descriptors.cpp:159</a></div></div>
1170 <div class="ttc" id="_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00169">Exceptions.hpp:169</a></div></div>
1171 <div class="ttc" id="structarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00184">Descriptors.cpp:184</a></div></div>
1172 <div class="ttc" id="classarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape &amp; GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00088">Tensor.hpp:88</a></div></div>
1173 </div><!-- fragment -->
1174 </div>
1175 </div>
1176 <a id="afb0aab92dc5b9bc5d7ebe2ea036f3809"></a>
1177 <h2 class="memtitle"><span class="permalink"><a href="#afb0aab92dc5b9bc5d7ebe2ea036f3809">&#9670;&nbsp;</a></span>QuantizedVector() <span class="overload">[1/3]</span></h2>
1178
1179 <div class="memitem">
1180 <div class="memproto">
1181       <table class="memname">
1182         <tr>
1183           <td class="memname">std::vector&lt;T&gt; armnnUtils::QuantizedVector </td>
1184           <td>(</td>
1185           <td class="paramtype">FloatIt&#160;</td>
1186           <td class="paramname"><em>first</em>, </td>
1187         </tr>
1188         <tr>
1189           <td class="paramkey"></td>
1190           <td></td>
1191           <td class="paramtype">FloatIt&#160;</td>
1192           <td class="paramname"><em>last</em>, </td>
1193         </tr>
1194         <tr>
1195           <td class="paramkey"></td>
1196           <td></td>
1197           <td class="paramtype">float&#160;</td>
1198           <td class="paramname"><em>qScale</em>, </td>
1199         </tr>
1200         <tr>
1201           <td class="paramkey"></td>
1202           <td></td>
1203           <td class="paramtype">int32_t&#160;</td>
1204           <td class="paramname"><em>qOffset</em>&#160;</td>
1205         </tr>
1206         <tr>
1207           <td></td>
1208           <td>)</td>
1209           <td></td><td></td>
1210         </tr>
1211       </table>
1212 </div><div class="memdoc">
1213
1214 <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00089">89</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p>
1215 <div class="fragment"><div class="line"><a name="l00090"></a><span class="lineno">   90</span>&#160;{</div><div class="line"><a name="l00091"></a><span class="lineno">   91</span>&#160;    std::vector&lt;T&gt; quantized;</div><div class="line"><a name="l00092"></a><span class="lineno">   92</span>&#160;    quantized.reserve(boost::numeric_cast&lt;size_t&gt;(std::distance(first, last)));</div><div class="line"><a name="l00093"></a><span class="lineno">   93</span>&#160;</div><div class="line"><a name="l00094"></a><span class="lineno">   94</span>&#160;    <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00095"></a><span class="lineno">   95</span>&#160;    {</div><div class="line"><a name="l00096"></a><span class="lineno">   96</span>&#160;        <span class="keyword">auto</span> f = *it;</div><div class="line"><a name="l00097"></a><span class="lineno">   97</span>&#160;        T q = SelectiveQuantize&lt;T&gt;(f, qScale, qOffset);</div><div class="line"><a name="l00098"></a><span class="lineno">   98</span>&#160;        quantized.push_back(q);</div><div class="line"><a name="l00099"></a><span class="lineno">   99</span>&#160;    }</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;    <span class="keywordflow">return</span> quantized;</div><div class="line"><a name="l00102"></a><span class="lineno">  102</span>&#160;}</div></div><!-- fragment -->
1216 </div>
1217 </div>
1218 <a id="ad10541679f7d9740ba7a3c96b9843456"></a>
1219 <h2 class="memtitle"><span class="permalink"><a href="#ad10541679f7d9740ba7a3c96b9843456">&#9670;&nbsp;</a></span>QuantizedVector() <span class="overload">[2/3]</span></h2>
1220
1221 <div class="memitem">
1222 <div class="memproto">
1223       <table class="memname">
1224         <tr>
1225           <td class="memname">std::vector&lt;T&gt; armnnUtils::QuantizedVector </td>
1226           <td>(</td>
1227           <td class="paramtype">const std::vector&lt; float &gt; &amp;&#160;</td>
1228           <td class="paramname"><em>array</em>, </td>
1229         </tr>
1230         <tr>
1231           <td class="paramkey"></td>
1232           <td></td>
1233           <td class="paramtype">float&#160;</td>
1234           <td class="paramname"><em>qScale</em> = <code>1.f</code>, </td>
1235         </tr>
1236         <tr>
1237           <td class="paramkey"></td>
1238           <td></td>
1239           <td class="paramtype">int32_t&#160;</td>
1240           <td class="paramname"><em>qOffset</em> = <code>0</code>&#160;</td>
1241         </tr>
1242         <tr>
1243           <td></td>
1244           <td>)</td>
1245           <td></td><td></td>
1246         </tr>
1247       </table>
1248 </div><div class="memdoc">
1249
1250 <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00105">105</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p>
1251 <div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno">  106</span>&#160;{</div><div class="line"><a name="l00107"></a><span class="lineno">  107</span>&#160;    <span class="keywordflow">return</span> QuantizedVector&lt;T&gt;(array.begin(), array.end(), qScale, qOffset);</div><div class="line"><a name="l00108"></a><span class="lineno">  108</span>&#160;}</div></div><!-- fragment -->
1252 </div>
1253 </div>
1254 <a id="af29a7b903bf7ae9639ea29bc05ccb289"></a>
1255 <h2 class="memtitle"><span class="permalink"><a href="#af29a7b903bf7ae9639ea29bc05ccb289">&#9670;&nbsp;</a></span>QuantizedVector() <span class="overload">[3/3]</span></h2>
1256
1257 <div class="memitem">
1258 <div class="memproto">
1259       <table class="memname">
1260         <tr>
1261           <td class="memname">std::vector&lt;T&gt; armnnUtils::QuantizedVector </td>
1262           <td>(</td>
1263           <td class="paramtype">std::initializer_list&lt; float &gt;&#160;</td>
1264           <td class="paramname"><em>array</em>, </td>
1265         </tr>
1266         <tr>
1267           <td class="paramkey"></td>
1268           <td></td>
1269           <td class="paramtype">float&#160;</td>
1270           <td class="paramname"><em>qScale</em> = <code>1.f</code>, </td>
1271         </tr>
1272         <tr>
1273           <td class="paramkey"></td>
1274           <td></td>
1275           <td class="paramtype">int32_t&#160;</td>
1276           <td class="paramname"><em>qOffset</em> = <code>0</code>&#160;</td>
1277         </tr>
1278         <tr>
1279           <td></td>
1280           <td>)</td>
1281           <td></td><td></td>
1282         </tr>
1283       </table>
1284 </div><div class="memdoc">
1285
1286 <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00111">111</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p>
1287 <div class="fragment"><div class="line"><a name="l00112"></a><span class="lineno">  112</span>&#160;{</div><div class="line"><a name="l00113"></a><span class="lineno">  113</span>&#160;    <span class="keywordflow">return</span> QuantizedVector&lt;T&gt;(array.begin(), array.end(), qScale, qOffset);</div><div class="line"><a name="l00114"></a><span class="lineno">  114</span>&#160;}</div></div><!-- fragment -->
1288 </div>
1289 </div>
1290 <a id="a5135dc1ce7a8aeb97623c1a92c5a3543"></a>
1291 <h2 class="memtitle"><span class="permalink"><a href="#a5135dc1ce7a8aeb97623c1a92c5a3543">&#9670;&nbsp;</a></span>SelectiveDequantize()</h2>
1292
1293 <div class="memitem">
1294 <div class="memproto">
1295       <table class="memname">
1296         <tr>
1297           <td class="memname">float armnnUtils::SelectiveDequantize </td>
1298           <td>(</td>
1299           <td class="paramtype">T&#160;</td>
1300           <td class="paramname"><em>value</em>, </td>
1301         </tr>
1302         <tr>
1303           <td class="paramkey"></td>
1304           <td></td>
1305           <td class="paramtype">float&#160;</td>
1306           <td class="paramname"><em>scale</em>, </td>
1307         </tr>
1308         <tr>
1309           <td class="paramkey"></td>
1310           <td></td>
1311           <td class="paramtype">int32_t&#160;</td>
1312           <td class="paramname"><em>offset</em>&#160;</td>
1313         </tr>
1314         <tr>
1315           <td></td>
1316           <td>)</td>
1317           <td></td><td></td>
1318         </tr>
1319       </table>
1320 </div><div class="memdoc">
1321
1322 <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00075">75</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p>
1323
1324 <p class="reference">References <a class="el" href="_quantize_helper_8hpp_source.html#l00030">SelectiveQuantizer&lt; T, DoQuantize &gt;::Dequantize()</a>.</p>
1325
1326 <p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.html#l00169">ApplyBias()</a>.</p>
1327 <div class="fragment"><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;{</div><div class="line"><a name="l00077"></a><span class="lineno">   77</span>&#160;    <span class="keywordflow">return</span> SelectiveQuantizer&lt;T, armnn::IsQuantizedType&lt;T&gt;()&gt;::<a class="code" href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(value, scale, offset);</div><div class="line"><a name="l00078"></a><span class="lineno">   78</span>&#160;};</div><div class="ttc" id="namespacearmnn_html_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00047">TypesUtils.cpp:47</a></div></div>
1328 </div><!-- fragment -->
1329 </div>
1330 </div>
1331 <a id="a21b249bca87a5ad47359abd9ec7acada"></a>
1332 <h2 class="memtitle"><span class="permalink"><a href="#a21b249bca87a5ad47359abd9ec7acada">&#9670;&nbsp;</a></span>SelectiveQuantize()</h2>
1333
1334 <div class="memitem">
1335 <div class="memproto">
1336       <table class="memname">
1337         <tr>
1338           <td class="memname">T armnnUtils::SelectiveQuantize </td>
1339           <td>(</td>
1340           <td class="paramtype">float&#160;</td>
1341           <td class="paramname"><em>value</em>, </td>
1342         </tr>
1343         <tr>
1344           <td class="paramkey"></td>
1345           <td></td>
1346           <td class="paramtype">float&#160;</td>
1347           <td class="paramname"><em>scale</em>, </td>
1348         </tr>
1349         <tr>
1350           <td class="paramkey"></td>
1351           <td></td>
1352           <td class="paramtype">int32_t&#160;</td>
1353           <td class="paramname"><em>offset</em>&#160;</td>
1354         </tr>
1355         <tr>
1356           <td></td>
1357           <td>)</td>
1358           <td></td><td></td>
1359         </tr>
1360       </table>
1361 </div><div class="memdoc">
1362
1363 <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00069">69</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p>
1364
1365 <p class="reference">References <a class="el" href="_quantize_helper_8hpp_source.html#l00025">SelectiveQuantizer&lt; T, DoQuantize &gt;::Quantize()</a>.</p>
1366 <div class="fragment"><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;{</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">return</span> SelectiveQuantizer&lt;T, armnn::IsQuantizedType&lt;T&gt;()&gt;::<a class="code" href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(value, scale, offset);</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;};</div><div class="ttc" id="namespacearmnn_html_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Explicit specialization of Quantize for int8_t. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.html#l00031">TypesUtils.cpp:31</a></div></div>
1367 </div><!-- fragment -->
1368 </div>
1369 </div>
1370 <a id="a71164960978af8b3820717bc92b9a322"></a>
1371 <h2 class="memtitle"><span class="permalink"><a href="#a71164960978af8b3820717bc92b9a322">&#9670;&nbsp;</a></span>SplitBy()</h2>
1372
1373 <div class="memitem">
1374 <div class="memproto">
1375       <table class="memname">
1376         <tr>
1377           <td class="memname">std::vector&lt; std::string &gt; SplitBy </td>
1378           <td>(</td>
1379           <td class="paramtype">const std::string &amp;&#160;</td>
1380           <td class="paramname"><em>originalString</em>, </td>
1381         </tr>
1382         <tr>
1383           <td class="paramkey"></td>
1384           <td></td>
1385           <td class="paramtype">const std::string &amp;&#160;</td>
1386           <td class="paramname"><em>delimiter</em> = <code>&quot;&#160;&quot;</code>, </td>
1387         </tr>
1388         <tr>
1389           <td class="paramkey"></td>
1390           <td></td>
1391           <td class="paramtype">bool&#160;</td>
1392           <td class="paramname"><em>includeEmptyToken</em> = <code><a class="el" href="_ref_layer_tests_8cpp.html#a67e2647a90dec71bb79c8b38872ba570">false</a></code>&#160;</td>
1393         </tr>
1394         <tr>
1395           <td></td>
1396           <td>)</td>
1397           <td></td><td></td>
1398         </tr>
1399       </table>
1400 </div><div class="memdoc">
1401 <p>Split a string into tokens by a delimiter</p>
1402 <dl class="params"><dt>Parameters</dt><dd>
1403   <table class="params">
1404     <tr><td class="paramdir">[in]</td><td class="paramname">originalString</td><td>Original string to be split </td></tr>
1405     <tr><td class="paramdir">[in]</td><td class="paramname">delimiter</td><td>Delimiter used to split <code>originalString</code> </td></tr>
1406     <tr><td class="paramdir">[in]</td><td class="paramname">includeEmptyToekn</td><td>If true, include empty tokens in the result </td></tr>
1407   </table>
1408   </dd>
1409 </dl>
1410 <dl class="section return"><dt>Returns</dt><dd>A vector of tokens split from <code>originalString</code> by  </dd></dl>
1411
1412 <p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.html#l00041">41</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.html">ModelAccuracyChecker.cpp</a>.</p>
1413
1414 <p class="reference">Referenced by <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.html#l00466">LoadModelOutputLabels()</a>, and <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.html#l00049">main()</a>.</p>
1415 <div class="fragment"><div class="line"><a name="l00042"></a><span class="lineno">   42</span>&#160;{</div><div class="line"><a name="l00043"></a><span class="lineno">   43</span>&#160;    std::vector&lt;std::string&gt; tokens;</div><div class="line"><a name="l00044"></a><span class="lineno">   44</span>&#160;    <span class="keywordtype">size_t</span> cur  = 0;</div><div class="line"><a name="l00045"></a><span class="lineno">   45</span>&#160;    <span class="keywordtype">size_t</span> next = 0;</div><div class="line"><a name="l00046"></a><span class="lineno">   46</span>&#160;    <span class="keywordflow">while</span> ((next = originalString.find(delimiter, cur)) != std::string::npos)</div><div class="line"><a name="l00047"></a><span class="lineno">   47</span>&#160;    {</div><div class="line"><a name="l00048"></a><span class="lineno">   48</span>&#160;        <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div><div class="line"><a name="l00049"></a><span class="lineno">   49</span>&#160;        <span class="keywordflow">if</span> (next - cur &gt; 0 || includeEmptyToken)</div><div class="line"><a name="l00050"></a><span class="lineno">   50</span>&#160;        {</div><div class="line"><a name="l00051"></a><span class="lineno">   51</span>&#160;            tokens.push_back(originalString.substr(cur, next - cur));</div><div class="line"><a name="l00052"></a><span class="lineno">   52</span>&#160;        }</div><div class="line"><a name="l00053"></a><span class="lineno">   53</span>&#160;        cur = next + delimiter.size();</div><div class="line"><a name="l00054"></a><span class="lineno">   54</span>&#160;    }</div><div class="line"><a name="l00055"></a><span class="lineno">   55</span>&#160;    <span class="comment">// Get the remaining token</span></div><div class="line"><a name="l00056"></a><span class="lineno">   56</span>&#160;    <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div><div class="line"><a name="l00057"></a><span class="lineno">   57</span>&#160;    <span class="keywordflow">if</span> (originalString.size() - cur &gt; 0 || includeEmptyToken)</div><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;    {</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;        tokens.push_back(originalString.substr(cur, originalString.size() - cur));</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    }</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;    <span class="keywordflow">return</span> tokens;</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;}</div></div><!-- fragment -->
1416 </div>
1417 </div>
1418 <a id="a24f7c8ffa12c4c91bc2cecd4d329add4"></a>
1419 <h2 class="memtitle"><span class="permalink"><a href="#a24f7c8ffa12c4c91bc2cecd4d329add4">&#9670;&nbsp;</a></span>Strip()</h2>
1420
1421 <div class="memitem">
1422 <div class="memproto">
1423       <table class="memname">
1424         <tr>
1425           <td class="memname">std::string Strip </td>
1426           <td>(</td>
1427           <td class="paramtype">const std::string &amp;&#160;</td>
1428           <td class="paramname"><em>originalString</em>, </td>
1429         </tr>
1430         <tr>
1431           <td class="paramkey"></td>
1432           <td></td>
1433           <td class="paramtype">const std::string &amp;&#160;</td>
1434           <td class="paramname"><em>characterSet</em> = <code>&quot;&#160;&quot;</code>&#160;</td>
1435         </tr>
1436         <tr>
1437           <td></td>
1438           <td>)</td>
1439           <td></td><td></td>
1440         </tr>
1441       </table>
1442 </div><div class="memdoc">
1443 <p>Remove any preceding and trailing character specified in the characterSet.</p>
1444 <dl class="params"><dt>Parameters</dt><dd>
1445   <table class="params">
1446     <tr><td class="paramdir">[in]</td><td class="paramname">originalString</td><td>Original string to be stripped </td></tr>
1447     <tr><td class="paramdir">[in]</td><td class="paramname">characterSet</td><td>Set of characters to be stripped from <code>originalString</code> </td></tr>
1448   </table>
1449   </dd>
1450 </dl>
1451 <dl class="section return"><dt>Returns</dt><dd>A string stripped of all characters specified in <code>characterSet</code> from <code>originalString</code> </dd></dl>
1452
1453 <p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.html#l00065">65</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.html">ModelAccuracyChecker.cpp</a>.</p>
1454
1455 <p class="reference">Referenced by <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.html#l00466">LoadModelOutputLabels()</a>.</p>
1456 <div class="fragment"><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;{</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    BOOST_ASSERT(!characterSet.empty());</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keyword">const</span> std::size_t firstFound = originalString.find_first_not_of(characterSet);</div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    <span class="keyword">const</span> std::size_t lastFound  = originalString.find_last_not_of(characterSet);</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;    <span class="comment">// Return empty if the originalString is empty or the originalString contains only to-be-striped characters</span></div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    <span class="keywordflow">if</span> (firstFound == std::string::npos || lastFound == std::string::npos)</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;    {</div><div class="line"><a name="l00073"></a><span class="lineno">   73</span>&#160;        <span class="keywordflow">return</span> <span class="stringliteral">&quot;&quot;</span>;</div><div class="line"><a name="l00074"></a><span class="lineno">   74</span>&#160;    }</div><div class="line"><a name="l00075"></a><span class="lineno">   75</span>&#160;    <span class="keywordflow">return</span> originalString.substr(firstFound, lastFound + 1 - firstFound);</div><div class="line"><a name="l00076"></a><span class="lineno">   76</span>&#160;}</div></div><!-- fragment -->
1457 </div>
1458 </div>
1459 <a id="a2e0aa273755368a1bf5fc65102df4a92"></a>
1460 <h2 class="memtitle"><span class="permalink"><a href="#a2e0aa273755368a1bf5fc65102df4a92">&#9670;&nbsp;</a></span>VerifyInt32()</h2>
1461
1462 <div class="memitem">
1463 <div class="memproto">
1464       <table class="memname">
1465         <tr>
1466           <td class="memname">int32_t VerifyInt32 </td>
1467           <td>(</td>
1468           <td class="paramtype">const char *&#160;</td>
1469           <td class="paramname"><em>expr</em>, </td>
1470         </tr>
1471         <tr>
1472           <td class="paramkey"></td>
1473           <td></td>
1474           <td class="paramtype">int64_t&#160;</td>
1475           <td class="paramname"><em>value</em>, </td>
1476         </tr>
1477         <tr>
1478           <td class="paramkey"></td>
1479           <td></td>
1480           <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">armnn::CheckLocation</a> &amp;&#160;</td>
1481           <td class="paramname"><em>location</em>&#160;</td>
1482         </tr>
1483         <tr>
1484           <td></td>
1485           <td>)</td>
1486           <td></td><td></td>
1487         </tr>
1488       </table>
1489 </div><div class="memdoc">
1490
1491 <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00055">55</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</a>.</p>
1492
1493 <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p>
1494 <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno">   58</span>&#160;{</div><div class="line"><a name="l00059"></a><span class="lineno">   59</span>&#160;    <span class="keywordflow">if</span> (value &lt; std::numeric_limits&lt;int&gt;::min()  || value &gt; std::numeric_limits&lt;int&gt;::max())</div><div class="line"><a name="l00060"></a><span class="lineno">   60</span>&#160;    {</div><div class="line"><a name="l00061"></a><span class="lineno">   61</span>&#160;        <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.html">ParseException</a>(</div><div class="line"><a name="l00062"></a><span class="lineno">   62</span>&#160;            boost::str(</div><div class="line"><a name="l00063"></a><span class="lineno">   63</span>&#160;                boost::format(<span class="stringliteral">&quot;&#39;%1%&#39; must should fit into a int32 (ArmNN don&#39;t support int64), received: %2% at %3%&quot;</span>) %</div><div class="line"><a name="l00064"></a><span class="lineno">   64</span>&#160;                              expr %</div><div class="line"><a name="l00065"></a><span class="lineno">   65</span>&#160;                              value %</div><div class="line"><a name="l00066"></a><span class="lineno">   66</span>&#160;                              location.<a class="code" href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">AsString</a>() ));</div><div class="line"><a name="l00067"></a><span class="lineno">   67</span>&#160;    }</div><div class="line"><a name="l00068"></a><span class="lineno">   68</span>&#160;    <span class="keywordflow">else</span></div><div class="line"><a name="l00069"></a><span class="lineno">   69</span>&#160;    {</div><div class="line"><a name="l00070"></a><span class="lineno">   70</span>&#160;        <span class="keywordflow">return</span> <span class="keyword">static_cast&lt;</span>int32_t<span class="keyword">&gt;</span>(value);</div><div class="line"><a name="l00071"></a><span class="lineno">   71</span>&#160;    }</div><div class="line"><a name="l00072"></a><span class="lineno">   72</span>&#160;}</div><div class="ttc" id="classarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div>
1495 <div class="ttc" id="structarmnn_1_1_check_location_html_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00029">Exceptions.hpp:29</a></div></div>
1496 </div><!-- fragment -->
1497 </div>
1498 </div>
1499 <h2 class="groupheader">Variable Documentation</h2>
1500 <a id="a59cbccbfbae7633020d200f8c23fe69e"></a>
1501 <h2 class="memtitle"><span class="permalink"><a href="#a59cbccbfbae7633020d200f8c23fe69e">&#9670;&nbsp;</a></span>ArmNNToNHWC</h2>
1502
1503 <div class="memitem">
1504 <div class="memproto">
1505       <table class="memname">
1506         <tr>
1507           <td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> ArmNNToNHWC = { 0, 3, 1, 2 }</td>
1508         </tr>
1509       </table>
1510 </div><div class="memdoc">
1511
1512 <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00017">17</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p>
1513
1514 </div>
1515 </div>
1516 <a id="a12124184ac6aec018beb98b9715330c7"></a>
1517 <h2 class="memtitle"><span class="permalink"><a href="#a12124184ac6aec018beb98b9715330c7">&#9670;&nbsp;</a></span>NHWCToArmNN</h2>
1518
1519 <div class="memitem">
1520 <div class="memproto">
1521       <table class="memname">
1522         <tr>
1523           <td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> NHWCToArmNN = { 0, 2, 3, 1 }</td>
1524         </tr>
1525       </table>
1526 </div><div class="memdoc">
1527
1528 <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00016">16</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p>
1529
1530 <p class="reference">Referenced by <a class="el" href="_image_tensor_generator_8hpp_source.html#l00091">PrepareImageTensor&lt; float &gt;()</a>.</p>
1531
1532 </div>
1533 </div>
1534 </div><!-- contents -->
1535 </div><!-- doc-content -->
1536 <!-- start footer part -->
1537 <div id="nav-path" class="navpath"><!-- id is needed for treeview function! -->
1538   <ul>
1539     <li class="navelem"><a class="el" href="namespacearmnn_utils.html">armnnUtils</a></li>
1540     <li class="footer">Generated on Fri Mar 13 2020 16:07:06 for ArmNN by
1541     <a href="http://www.doxygen.org/index.html">
1542     <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.13 </li>
1543   </ul>
1544 </div>
1545 </body>
1546 </html>