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<tr class="memdesc:"><td class="mdescLeft"> </td><td class="mdescRight">Provides access to the appropriate indexes for Channels, Height and Width based on DataLayout. <a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#details">More...</a><br /></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_floating_point_converter.xhtml">FloatingPointConverter</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_is_floating_point_iterator.xhtml">IsFloatingPointIterator</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">class  </td><td class="memItemRight" valign="bottom"><a class="el" href="classarmnn_utils_1_1_model_accuracy_checker.xhtml">ModelAccuracyChecker</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_parser_prototxt_fixture.xhtml">ParserPrototxtFixture</a></td></tr>
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<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_selective_quantizer.xhtml">SelectiveQuantizer</a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_selective_quantizer_3_01armnn_1_1_b_float16_00_01false_01_4.xhtml">SelectiveQuantizer< armnn::BFloat16, false ></a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_selective_quantizer_3_01armnn_1_1_half_00_01false_01_4.xhtml">SelectiveQuantizer< armnn::Half, false ></a></td></tr>
<tr class="separator:"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:"><td class="memItemLeft" align="right" valign="top">struct  </td><td class="memItemRight" valign="bottom"><a class="el" href="structarmnn_utils_1_1_selective_quantizer_3_01_t_00_01false_01_4.xhtml">SelectiveQuantizer< T, false ></a></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="typedef-members"></a>
Typedefs</h2></td></tr>
<tr class="memitem:ab175d8bf2482d5a39c2331d1f0ddcece"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector< std::string ></td></tr>
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</table><table class="memberdecls">
<tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="func-members"></a>
Functions</h2></td></tr>
<tr class="memitem:a49ba5984d8cde4299d8ef15c9e556587"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a49ba5984d8cde4299d8ef15c9e556587">operator==</a> (const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &dataLayout, const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a> &indexed)</td></tr>
<tr class="memdesc:a49ba5984d8cde4299d8ef15c9e556587"><td class="mdescLeft"> </td><td class="mdescRight">Equality methods. <a href="#a49ba5984d8cde4299d8ef15c9e556587">More...</a><br /></td></tr>
<tr class="separator:a49ba5984d8cde4299d8ef15c9e556587"><td class="memSeparator" colspan="2"> </td></tr>
<tr class="memitem:a0448088ed94f810bd2464f3afd1859f0"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a0448088ed94f810bd2464f3afd1859f0">operator==</a> (const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a> &indexed, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &dataLayout)</td></tr>
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<tr class="memitem:a56b0e17341e000fa1d4561890294520c"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a56b0e17341e000fa1d4561890294520c">within_percentage_tolerance</a> (float a, float b, float tolerancePercent=1.0f)</td></tr>
<tr class="memdesc:a56b0e17341e000fa1d4561890294520c"><td class="mdescLeft"> </td><td class="mdescRight">Compare two floats and return true if their values are within a specified tolerance of each other. <a href="#a56b0e17341e000fa1d4561890294520c">More...</a><br /></td></tr>
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<tr class="memitem:abeaf4f6785039866fd075f4569ba8e84"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">Permuted</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &srcShape, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings)</td></tr>
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<tr class="memitem:af03a0cc5b92d8131c6e7a5a3350de587"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#af03a0cc5b92d8131c6e7a5a3350de587">Permuted</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &info, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings, bool perChannelPermute=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</td></tr>
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<tr class="memitem:af3c74017185773dd61d8ca6662d65d43"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#af3c74017185773dd61d8ca6662d65d43">Permute</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &dstShape, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings, const void *src, void *dst, size_t dataTypeSize)</td></tr>
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<tr class="memitem:ab53d94ea22b51c6bcdf9584644bd67bb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ab53d94ea22b51c6bcdf9584644bd67bb">GetTensorShape</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr>
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<tr class="memitem:acee63cd08da47910fc166a1990988fa8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#acee63cd08da47910fc166a1990988fa8">GetTensorInfo</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout, const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType)</td></tr>
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<tr class="memitem:a1c9097ab13afc54b48c503c6487aaee1"><td class="memItemLeft" align="right" valign="top">std::pair< float, float > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a1c9097ab13afc54b48c503c6487aaee1">FindMinMax</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a> *tensorHandle)</td></tr>
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<tr class="memitem:a0d3b1be320610515e0cac8d745d9f8c2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &tensorShape, int axis)</td></tr>
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<tr class="memitem:af57864f5e03358d14c2988edae912b8b"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#af57864f5e03358d14c2988edae912b8b">GetNumElementsBetween</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &shape, unsigned int firstAxisInclusive, unsigned int lastAxisExclusive)</td></tr>
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<tr class="memitem:ac93cb1365b4bcb67df2a3164606096c5"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ac93cb1365b4bcb67df2a3164606096c5">GetUnsignedAxis</a> (const unsigned int inputDimension, const int axis)</td></tr>
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<tr class="memitem:a276aac5f7a8bdc3db4f62203870ca13b"><td class="memItemLeft" align="right" valign="top">unsigned int </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &shape, unsigned int axis)</td></tr>
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<tr class="memitem:a1826e433f7e6817976a8175b4ef8296c"><td class="memItemLeft" align="right" valign="top">std::pair< unsigned int, std::vector< float > > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a1826e433f7e6817976a8175b4ef8296c">GetPerAxisParams</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &info)</td></tr>
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<tr class="memitem:a428a9a6ffdf0e8d723b50c038c56c336"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a428a9a6ffdf0e8d723b50c038c56c336">TransposeTensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &srcShape, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings)</td></tr>
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<tr class="memitem:a49e3aa80e05abc7b4643aad600e8d827"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a49e3aa80e05abc7b4643aad600e8d827">TransposeTensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &info, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings)</td></tr>
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<tr class="memitem:a405d5f966ec992d1717711e5a2d7909d"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a405d5f966ec992d1717711e5a2d7909d">Transpose</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &dstShape, const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> &mappings, const void *src, void *dst, size_t dataTypeSize)</td></tr>
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<tr class="memitem:a662b45b5a4d48a01e967c0b28b6a552b"><td class="memTemplParams" colspan="2">template<typename TNodeId , typename TTargetNodes > </td></tr>
<tr class="memitem:a662b45b5a4d48a01e967c0b28b6a552b"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a662b45b5a4d48a01e967c0b28b6a552b">GraphTopologicalSort</a> (const TTargetNodes &targetNodes, std::function< std::vector< TNodeId >(TNodeId)> getIncomingEdges, std::vector< TNodeId > &outSorted)</td></tr>
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<tr class="memitem:a158a68b143d2564fa1ca047646cf4185"><td class="memItemLeft" align="right" valign="top">std::vector< std::string > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a158a68b143d2564fa1ca047646cf4185">SplitBy</a> (const std::string &originalString, const std::string &delimiter=" ", bool includeEmptyToken=<a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a>)</td></tr>
<tr class="memdesc:a158a68b143d2564fa1ca047646cf4185"><td class="mdescLeft"> </td><td class="mdescRight">Split a string into tokens by a delimiter. <a href="#a158a68b143d2564fa1ca047646cf4185">More...</a><br /></td></tr>
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<tr class="memitem:a14be0364a6fc0975d45e84737dfe21bc"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a14be0364a6fc0975d45e84737dfe21bc">Strip</a> (const std::string &originalString, const std::string &characterSet=" ")</td></tr>
<tr class="memdesc:a14be0364a6fc0975d45e84737dfe21bc"><td class="mdescLeft"> </td><td class="mdescRight">Remove any preceding and trailing character specified in the characterSet. <a href="#a14be0364a6fc0975d45e84737dfe21bc">More...</a><br /></td></tr>
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<tr class="memitem:a523deabeb7d0a884028b35eebfd1cb6c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a523deabeb7d0a884028b35eebfd1cb6c">ProcessConcatInputTensorInfo</a> (<a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, <a class="el" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a> &concatDescriptor, const unsigned int &concatAxis, unsigned int inputIndex, unsigned int &mergeDimOrigin)</td></tr>
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<tr class="memitem:aac34adc5b96d744ae53eac580213f855"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, const std::set< unsigned int > &axisSet, bool keepDims, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputTensorInfo)</td></tr>
<tr class="memdesc:aac34adc5b96d744ae53eac580213f855"><td class="mdescLeft"> </td><td class="mdescRight">Creates a tensor info after reducing the dimensions mentioned in axisData. <a href="#aac34adc5b96d744ae53eac580213f855">More...</a><br /></td></tr>
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<tr class="memitem:a9300450bab29bb951d6f8755b7d9d3a8"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a9300450bab29bb951d6f8755b7d9d3a8">CalculateStridedSliceOutputTensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &inputTensorInfo, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.xhtml">armnn::StridedSliceDescriptor</a> &desc, <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> &outputTensorInfo)</td></tr>
<tr class="memdesc:a9300450bab29bb951d6f8755b7d9d3a8"><td class="mdescLeft"> </td><td class="mdescRight">Create output tensor info for a StridedSlice operator. <a href="#a9300450bab29bb951d6f8755b7d9d3a8">More...</a><br /></td></tr>
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<tr class="memitem:ab4a89c3d0ff243bdabae3e404248d04a"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ab4a89c3d0ff243bdabae3e404248d04a">ConvertInt32ToOctalString</a> (int value)</td></tr>
<tr class="memdesc:ab4a89c3d0ff243bdabae3e404248d04a"><td class="mdescLeft"> </td><td class="mdescRight">Converts an int value into the Prototxt octal representation. <a href="#ab4a89c3d0ff243bdabae3e404248d04a">More...</a><br /></td></tr>
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<tr class="memitem:a78f149bb07186307e19e00015a8d151c"><td class="memItemLeft" align="right" valign="top">std::string </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a78f149bb07186307e19e00015a8d151c">ConvertTensorShapeToString</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> &shape)</td></tr>
<tr class="memdesc:a78f149bb07186307e19e00015a8d151c"><td class="mdescLeft"> </td><td class="mdescRight">Converts an TensorShape into Prototxt representation. <a href="#a78f149bb07186307e19e00015a8d151c">More...</a><br /></td></tr>
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<tr class="memitem:a21b249bca87a5ad47359abd9ec7acada"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a21b249bca87a5ad47359abd9ec7acada"><td class="memTemplItemLeft" align="right" valign="top">T </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a21b249bca87a5ad47359abd9ec7acada">SelectiveQuantize</a> (float value, float scale, int32_t offset)</td></tr>
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<tr class="memitem:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memTemplParams" colspan="2">template<typename T > </td></tr>
<tr class="memitem:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memTemplItemLeft" align="right" valign="top">float </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a5135dc1ce7a8aeb97623c1a92c5a3543">SelectiveDequantize</a> (T value, float scale, int32_t offset)</td></tr>
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<tr class="memitem:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memTemplParams" colspan="2">template<typename T , typename FloatIt , typename std::enable_if< IsFloatingPointIterator< FloatIt >::value, int >::type = 0> </td></tr>
<tr class="memitem:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memTemplItemLeft" align="right" valign="top">std::vector< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#afb0aab92dc5b9bc5d7ebe2ea036f3809">QuantizedVector</a> (FloatIt first, FloatIt last, float qScale, int32_t qOffset)</td></tr>
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<tr class="memitem:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memTemplItemLeft" align="right" valign="top">std::vector< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#af29a7b903bf7ae9639ea29bc05ccb289">QuantizedVector</a> (std::initializer_list< float > array, float qScale=1.f, int32_t qOffset=0)</td></tr>
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<tr class="memitem:ad4efd5a7fa660df5246466d83517220d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ad4efd5a7fa660df5246466d83517220d">MakeOutputTensors</a> (const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > &outputBindings, std::vector< <a class="el" href="namespacearmnn.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a> > &outputDataContainers)</td></tr>
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<tr class="memitem:a97dc68ae76f04b81c833184724836c9a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a97dc68ae76f04b81c833184724836c9a">CheckValidSize</a> (std::initializer_list< size_t > validInputCounts, size_t actualValue, const char *validExpr, const char *actualExpr, const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> &location)</td></tr>
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<tr class="memitem:ab075020544612cd151ebdd08db537396"><td class="memItemLeft" align="right" valign="top">uint32_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#ab075020544612cd151ebdd08db537396">NonNegative</a> (const char *expr, int32_t value, const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> &location)</td></tr>
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<tr class="memitem:a2e0aa273755368a1bf5fc65102df4a92"><td class="memItemLeft" align="right" valign="top">int32_t </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a2e0aa273755368a1bf5fc65102df4a92">VerifyInt32</a> (const char *expr, int64_t value, const <a class="el" href="structarmnn_1_1_check_location.xhtml">armnn::CheckLocation</a> &location)</td></tr>
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Variables</h2></td></tr>
<tr class="memitem:a12124184ac6aec018beb98b9715330c7"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a12124184ac6aec018beb98b9715330c7">NHWCToArmNN</a> = { 0, 2, 3, 1 }</td></tr>
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<tr class="memitem:a59cbccbfbae7633020d200f8c23fe69e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.xhtml#a59cbccbfbae7633020d200f8c23fe69e">ArmNNToNHWC</a> = { 0, 3, 1, 2 }</td></tr>
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<h2 class="groupheader">Typedef Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#ab175d8bf2482d5a39c2331d1f0ddcece">◆ </a></span>LabelCategoryNames</h2>
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<td class="memname">using <a class="el" href="namespacearmnn_utils.xhtml#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector<std::string></td>
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<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml#l00025">25</a> of file <a class="el" href="_model_accuracy_checker_8hpp_source.xhtml">ModelAccuracyChecker.hpp</a>.</p>
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<h2 class="groupheader">Function Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#aac34adc5b96d744ae53eac580213f855">◆ </a></span>CalculateReducedOutputTensoInfo()</h2>
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<td class="memname">void CalculateReducedOutputTensoInfo </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
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<p>Creates a tensor info after reducing the dimensions mentioned in axisData. </p>
<p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.xhtml#l00052">52</a> of file <a class="el" href="_parser_helper_8cpp_source.xhtml">ParserHelper.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetNumDimensions()</a>, and <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_parser_helper_test_8cpp_source.xhtml#l00019">BOOST_AUTO_TEST_CASE()</a>, and <a class="el" href="_tf_parser_8cpp_source.xhtml#l02634">ITfParser::TfParserImpl::ParseMean()</a>.</p>
<div class="fragment"><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> {</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  std::vector<unsigned int> outputShapeVector;</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordtype">bool</span> dimensionFound = <span class="keyword">false</span>;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> size = 1;</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span> </div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  dimensionFound = <span class="keyword">false</span>;</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis: axisSet)</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">if</span> (axis == i)</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  {</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  dimensionFound = <span class="keyword">true</span>;</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">break</span>;</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  }</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  }</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span> </div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">if</span> (!dimensionFound)</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  {</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  size *= inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i];</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span> </div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="keywordflow">if</span> (keepDims)</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  {</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  outputShapeVector.push_back(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[i]);</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  }</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  }</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  {</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keywordflow">if</span> (keepDims)</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  {</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  outputShapeVector.push_back(1);</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  }</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  }</div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  }</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span> </div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">if</span> (keepDims)</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &outputShapeVector[0]);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(outputTensorShape, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  {</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>({size}, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00191">Tensor.hpp:191</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a9300450bab29bb951d6f8755b7d9d3a8">◆ </a></span>CalculateStridedSliceOutputTensorInfo()</h2>
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<td class="memname">void CalculateStridedSliceOutputTensorInfo </td>
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<p>Create output tensor info for a StridedSlice operator. </p>
<p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.xhtml#l00103">103</a> of file <a class="el" href="_parser_helper_8cpp_source.xhtml">ParserHelper.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8cpp_source.xhtml#l00366">StridedSliceDescriptor::GetStartForAxis()</a>, <a class="el" href="_descriptors_8cpp_source.xhtml#l00393">StridedSliceDescriptor::GetStopForAxis()</a>, <a class="el" href="_descriptors_8hpp_source.xhtml#l01128">StridedSliceDescriptor::m_ShrinkAxisMask</a>, and <a class="el" href="_descriptors_8hpp_source.xhtml#l01119">StridedSliceDescriptor::m_Stride</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.xhtml#l02923">ITfParser::TfParserImpl::ParseStridedSlice()</a>.</p>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  <span class="keyword">const</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>();</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span> </div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  std::vector<unsigned int> outputShapeVector;</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); i++)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">if</span> (desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a6d0384878432cfc9652b7ae8bc59506f">m_ShrinkAxisMask</a> & (1 << i))</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  {</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  <span class="keywordflow">continue</span>;</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">int</span> stride = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">m_Stride</a>[i];</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">int</span> start = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">GetStartForAxis</a>(inputShape, i);</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <span class="keywordtype">int</span> stop = desc.<a class="code" href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">GetStopForAxis</a>(inputShape, i, start);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span> </div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  <span class="keywordtype">int</span> newSize = stride > 0 ? ((stop - start) + stride - 1) / stride :</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  ((start - stop) - stride - 1) / -stride;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span> </div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  newSize = std::max(0, newSize);</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  outputShapeVector.push_back(static_cast<unsigned int>(newSize));</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span>  }</div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> </div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(), &outputShapeVector[0]);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  outputTensorInfo = <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a>(outputTensorShape), inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>());</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#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.xhtml#l01128">Descriptors.hpp:1128</a></div></div>
<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_add849c1188ee7ff60774755b746aa526"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#add849c1188ee7ff60774755b746aa526">armnn::StridedSliceDescriptor::GetStartForAxis</a></div><div class="ttdeci">int GetStartForAxis(const TensorShape &inputShape, unsigned int axis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00366">Descriptors.cpp:366</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_a0d53caff836b84204adbd1c28752a201"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#a0d53caff836b84204adbd1c28752a201">armnn::StridedSliceDescriptor::m_Stride</a></div><div class="ttdeci">std::vector< int > 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.xhtml#l01119">Descriptors.hpp:1119</a></div></div>
<div class="ttc" id="structarmnn_1_1_strided_slice_descriptor_xhtml_afc4731b55776f71af1e14c799c6e6e2c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.xhtml#afc4731b55776f71af1e14c799c6e6e2c">armnn::StridedSliceDescriptor::GetStopForAxis</a></div><div class="ttdeci">int GetStopForAxis(const TensorShape &inputShape, unsigned int axis, int startForAxis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00393">Descriptors.cpp:393</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00191">Tensor.hpp:191</a></div></div>
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<td class="memname">void CheckValidSize </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.xhtml#l00016">16</a> of file <a class="el" href="_verification_helpers_8cpp_source.xhtml">VerificationHelpers.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00029">CheckLocation::AsString()</a>.</p>
<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordtype">bool</span> isValid = std::any_of(validInputCounts.begin(),</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  validInputCounts.end(),</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  [&actualValue](<span class="keywordtype">size_t</span> x) { <span class="keywordflow">return</span> x == actualValue; } );</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">if</span> (!isValid)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.xhtml">ParseException</a>(fmt::format(<span class="stringliteral">"{} = {} is not valid, not in {{}}. {}"</span>,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  actualExpr,</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  actualValue,</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  validExpr,</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  }</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> }</div><div class="ttc" id="structarmnn_1_1_check_location_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml#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.xhtml#l00029">Exceptions.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ab4a89c3d0ff243bdabae3e404248d04a">◆ </a></span>ConvertInt32ToOctalString()</h2>
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<p>Converts an int value into the Prototxt octal representation. </p>
<p class="definition">Definition at line <a class="el" href="_prototxt_conversions_8cpp_source.xhtml#l00017">17</a> of file <a class="el" href="_prototxt_conversions_8cpp_source.xhtml">PrototxtConversions.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_prototxt_conversions_test_8cpp_source.xhtml#l00013">BOOST_AUTO_TEST_CASE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00018"></a><span class="lineno"> 18</span> {</div><div class="line"><a name="l00019"></a><span class="lineno"> 19</span>  std::stringstream ss;</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  std::string returnString;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span>  <span class="keywordflow">for</span> (<span class="keywordtype">int</span> i = 0; i < 4; ++i)</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  {</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  ss << <span class="stringliteral">"\\"</span>;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  ss << std::setw(3) << std::setfill('0') << std::oct << ((value >> (i * 8)) & 0xFF);</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  }</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  ss >> returnString;</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span> returnString;</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a78f149bb07186307e19e00015a8d151c">◆ </a></span>ConvertTensorShapeToString()</h2>
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<td class="memname">std::string ConvertTensorShapeToString </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
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<p>Converts an TensorShape into Prototxt representation. </p>
<p class="definition">Definition at line <a class="el" href="_prototxt_conversions_8cpp_source.xhtml#l00032">32</a> of file <a class="el" href="_prototxt_conversions_8cpp_source.xhtml">PrototxtConversions.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_prototxt_conversions_test_8cpp_source.xhtml#l00042">BOOST_AUTO_TEST_CASE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00033"></a><span class="lineno"> 33</span> {</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  std::stringstream ss;</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0 ; i < shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() ; i++)</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  {</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  ss << <span class="stringliteral">"dim {\n"</span>;</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  ss << <span class="stringliteral">"size: "</span> << std::to_string(shape[i]) << <span class="stringliteral">"\n"</span>;</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  ss << <span class="stringliteral">"}\n"</span>;</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  }</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> ss.str();</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> ExpandDims </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00085">85</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, and <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00035">armnn::numeric_cast()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tensor_utils_test_8cpp_source.xhtml#l00017">BOOST_AUTO_TEST_CASE()</a>.</p>
<div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> </div><div class="line"><a name="l00089"></a><span class="lineno"> 89</span>  <span class="keywordflow">if</span> (axis < -armnn::numeric_cast<int>(outputDim) || axis > armnn::numeric_cast<int>(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()))</div><div class="line"><a name="l00090"></a><span class="lineno"> 90</span>  {</div><div class="line"><a name="l00091"></a><span class="lineno"> 91</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Invalid expansion axis {} for {}D input tensor. {}"</span>,</div><div class="line"><a name="l00092"></a><span class="lineno"> 92</span>  axis,</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  }</div><div class="line"><a name="l00096"></a><span class="lineno"> 96</span> </div><div class="line"><a name="l00097"></a><span class="lineno"> 97</span>  <span class="keywordflow">if</span> (axis < 0)</div><div class="line"><a name="l00098"></a><span class="lineno"> 98</span>  {</div><div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  axis = <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">int</span>>(outputDim) + axis;</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  }</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  std::vector<unsigned int> outputShape;</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  outputShape.reserve(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  {</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  outputShape.push_back(tensorShape[i]);</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  }</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  outputShape.insert(outputShape.begin() + axis, 1);</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>(outputDim, outputShape.data());</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a1c9097ab13afc54b48c503c6487aaee1">◆ </a></span>FindMinMax()</h2>
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<td class="memname">std::pair< float, float > FindMinMax </td>
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<td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml">armnn::ITensorHandle</a> * </td>
<td class="paramname"><em>tensorHandle</em></td><td>)</td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00058">58</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#affd5aae75cad90f472f96cfd25a13f29">ITensorHandle::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">ITensorHandle::Map()</a>, and <a class="el" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">ITensorHandle::Unmap()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_network_quantizer_8cpp_source.xhtml#l00061">NetworkQuantizer::Refine()</a>.</p>
<div class="fragment"><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> {</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">auto</span> tensor_data = <span class="keyword">static_cast<</span><span class="keyword">const </span><span class="keywordtype">float</span> *<span class="keyword">></span>(tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(<span class="keyword">true</span>));</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keyword">auto</span> tensor_size = tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span> </div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <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>  <span class="keywordtype">float</span> min = tensor_data[0];</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="keywordtype">float</span> max = tensor_data[0];</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span> </div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> val = 1; val < tensor_size; val++)</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  {</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (tensor_data[val] < min)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  min = tensor_data[val];</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensor_data[val] > max)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  max = tensor_data[val];</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  }</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  }</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span> </div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">Unmap</a>();</div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span> </div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <span class="keywordflow">return</span> std::make_pair(min, max);</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdoc">Function that calculates the tensor elements by multiplying all dimension size which are Specified...</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00181">Tensor.cpp:181</a></div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access. </div></div>
<div class="ttc" id="classarmnn_1_1_i_tensor_handle_xhtml_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.xhtml#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data. </div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a276aac5f7a8bdc3db4f62203870ca13b">◆ </a></span>GetNumElementsAfter()</h2>
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<td class="memname">unsigned int GetNumElementsAfter </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00140">140</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">GetPerAxisParams()</a>.</p>
<div class="fragment"><div class="line"><a name="l00141"></a><span class="lineno"> 141</span> {</div><div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDim = shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div><div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(axis <= numDim - 1);</div><div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = axis; i < numDim; i++)</div><div class="line"><a name="l00146"></a><span class="lineno"> 146</span>  {</div><div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  count *= shape[i];</div><div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  }</div><div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af57864f5e03358d14c2988edae912b8b">◆ </a></span>GetNumElementsBetween()</h2>
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<td class="memname">unsigned int GetNumElementsBetween </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
<td class="paramname"><em>shape</em>, </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>firstAxisInclusive</em>, </td>
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<td class="paramtype">unsigned int </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00113">113</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>, and <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.xhtml#l00016">armnn::ArgMinMax()</a>, <a class="el" href="_log_softmax_8cpp_source.xhtml#l00029">armnn::LogSoftmax()</a>, and <a class="el" href="backends_2reference_2workloads_2_softmax_8cpp_source.xhtml#l00017">armnn::Softmax()</a>.</p>
<div class="fragment"><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> {</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(firstAxisInclusive <= lastAxisExclusive);</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(lastAxisExclusive <= shape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <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>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = firstAxisInclusive; i < lastAxisExclusive; i++)</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  count *= shape[i];</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  <span class="keywordflow">return</span> count;</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a1826e433f7e6817976a8175b4ef8296c">◆ </a></span>GetPerAxisParams()</h2>
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<td class="memname">std::pair< unsigned int, std::vector< float > > GetPerAxisParams </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00152">152</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00194">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.xhtml#l00180">armnn::GetDataTypeName()</a>, <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00140">GetNumElementsAfter()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00485">TensorInfo::GetQuantizationDim()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00442">TensorInfo::GetQuantizationScales()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00437">TensorInfo::HasPerAxisQuantization()</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< IsReference, T >::value()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_decoders_8hpp_source.xhtml#l00070">armnn::MakeDecoder()</a>, and <a class="el" href="_encoders_8hpp_source.xhtml#l00021">armnn::MakeEncoder()</a>.</p>
<div class="fragment"><div class="line"><a name="l00153"></a><span class="lineno"> 153</span> {</div><div class="line"><a name="l00154"></a><span class="lineno"> 154</span>  <span class="keyword">const</span> std::vector<float>& scales = info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>();</div><div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <a class="code" href="classarmnn_1_1_optional.xhtml">armnn::Optional<unsigned int></a> quantizationDim = info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>();</div><div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span> (!info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div><div class="line"><a name="l00157"></a><span class="lineno"> 157</span>  {</div><div class="line"><a name="l00158"></a><span class="lineno"> 158</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a>(</div><div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::string(<span class="stringliteral">"Per-axis quantization params not set for tensor of type "</span>) +</div><div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  <a class="code" href="namespacearmnn.xhtml#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">GetDataType</a>()), <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  }</div><div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axisFactor = <a class="code" href="namespacearmnn_utils.xhtml#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), quantizationDim.<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>());</div><div class="line"><a name="l00163"></a><span class="lineno"> 163</span> </div><div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  <span class="keywordflow">return</span> { axisFactor, scales };</div><div class="line"><a name="l00165"></a><span class="lineno"> 165</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_xhtml"><div class="ttname"><a href="classarmnn_1_1_optional.xhtml">armnn::Optional< unsigned int ></a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00437">Tensor.cpp:437</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00485">Tensor.cpp:485</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector< float > GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00442">Tensor.cpp:442</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.xhtml#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.xhtml#l00180">TypesUtils.hpp:180</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_aea909c7327109228ef618d459015def3"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#aea909c7327109228ef618d459015def3">armnn::TensorInfo::GetDataType</a></div><div class="ttdeci">DataType GetDataType() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00194">Tensor.hpp:194</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a276aac5f7a8bdc3db4f62203870ca13b"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a></div><div class="ttdeci">unsigned int GetNumElementsAfter(const armnn::TensorShape &shape, unsigned int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.xhtml#l00140">TensorUtils.cpp:140</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#acee63cd08da47910fc166a1990988fa8">◆ </a></span>GetTensorInfo()</h2>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a> GetTensorInfo </td>
<td>(</td>
<td class="paramtype">unsigned int </td>
<td class="paramname"><em>numberOfBatches</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>numberOfChannels</em>, </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>height</em>, </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>width</em>, </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
<td class="paramname"><em>dataLayout</em>, </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> </td>
<td class="paramname"><em>dataType</em> </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00038">38</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
<p class="reference">Referenced by <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00825">ICaffeParser::CaffeParserImpl::AddConvLayerWithDepthwiseConv()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00447">ICaffeParser::CaffeParserImpl::AddConvLayerWithSplits()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00637">ICaffeParser::CaffeParserImpl::AddDeconvLayerWithSplits()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01627">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01765">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01919">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01382">ICaffeParser::CaffeParserImpl::ParseArgmaxLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01767">ICaffeParser::CaffeParserImpl::ParseBatchNormLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01708">ICaffeParser::CaffeParserImpl::ParseConcatLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l00915">ICaffeParser::CaffeParserImpl::ParseConvLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01094">ICaffeParser::CaffeParserImpl::ParseDeconvLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01663">ICaffeParser::CaffeParserImpl::ParseEltwiseLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01567">ICaffeParser::CaffeParserImpl::ParseInnerProductLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01468">ICaffeParser::CaffeParserImpl::ParseLRNLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01270">ICaffeParser::CaffeParserImpl::ParsePoolingLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01442">ICaffeParser::CaffeParserImpl::ParseReluLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01831">ICaffeParser::CaffeParserImpl::ParseScaleLayer()</a>, <a class="el" href="_caffe_parser_8cpp_source.xhtml#l01641">ICaffeParser::CaffeParserImpl::ParseSoftmaxLayer()</a>, and <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00200">SimpleConvolution2dTestImpl()</a>.</p>
<div class="fragment"><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> {</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="keywordflow">case</span> DataLayout::NCHW:</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>({numberOfBatches, numberOfChannels, height, width}, dataType);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">case</span> DataLayout::NHWC:</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.xhtml">TensorInfo</a>({numberOfBatches, height, width, numberOfChannels}, dataType);</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Unknown data layout ["</span></div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  + std::to_string(static_cast<int>(dataLayout)) +</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="stringliteral">"]"</span>, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  }</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ab53d94ea22b51c6bcdf9584644bd67bb">◆ </a></span>GetTensorShape()</h2>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a> GetTensorShape </td>
<td>(</td>
<td class="paramtype">unsigned int </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>numberOfChannels</em>, </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>height</em>, </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td>
<td class="paramname"><em>dataLayout</em> </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00019">19</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p>
<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">switch</span> (dataLayout)</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  {</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="keywordflow">case</span> DataLayout::NCHW:</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({numberOfBatches, numberOfChannels, height, width});</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">case</span> DataLayout::NHWC:</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">TensorShape</a>({numberOfBatches, height, width, numberOfChannels});</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">default</span>:</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.xhtml">InvalidArgumentException</a>(<span class="stringliteral">"Unknown data layout ["</span></div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  + std::to_string(static_cast<int>(dataLayout)) +</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="stringliteral">"]"</span>, <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  }</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_invalid_argument_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.xhtml">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00080">Exceptions.hpp:80</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ac93cb1365b4bcb67df2a3164606096c5">◆ </a></span>GetUnsignedAxis()</h2>
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<td class="memname">unsigned int GetUnsignedAxis </td>
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<td class="paramtype">const unsigned int </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.xhtml#l00127">127</a> of file <a class="el" href="_tensor_utils_8cpp_source.xhtml">TensorUtils.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00015">ARMNN_ASSERT_MSG</a>, and <a class="el" href="_numeric_cast_8hpp_source.xhtml#l00035">armnn::numeric_cast()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.xhtml#l00016">armnn::ArgMinMax()</a>, <a class="el" href="_cl_arg_min_max_workload_8cpp_source.xhtml#l00055">ClArgMinMaxWorkload::ClArgMinMaxWorkload()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.xhtml#l00037">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_neon_arg_min_max_workload_8cpp_source.xhtml#l00055">NeonArgMinMaxWorkload::NeonArgMinMaxWorkload()</a>, and <a class="el" href="_workload_data_8cpp_source.xhtml#l00643">ArgMinMaxQueueDescriptor::Validate()</a>.</p>
<div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(axis < armnn::numeric_cast<int>(inputDimension),</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  <span class="stringliteral">"Required axis index greater than number of dimensions."</span>);</div><div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <a class="code" href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a>(axis >= -armnn::numeric_cast<int>(inputDimension),</div><div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">"Required axis index lower than negative of the number of dimensions"</span>);</div><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> </div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> uAxis = axis < 0 ?</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  inputDimension - <a class="code" href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a><<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span>>(<a class="code" href="structarmnn_1_1abs.xhtml">abs</a>(axis))</div><div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  : armnn::numeric_cast<unsigned int>(axis);</div><div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordflow">return</span> uAxis;</div><div class="line"><a name="l00138"></a><span class="lineno"> 138</span> }</div><div class="ttc" id="structarmnn_1_1abs_xhtml"><div class="ttname"><a href="structarmnn_1_1abs.xhtml">armnn::abs</a></div><div class="ttdef"><b>Definition:</b> <a href="_abs_8hpp_source.xhtml#l00013">Abs.hpp:13</a></div></div>
<div class="ttc" id="_assert_8hpp_xhtml_a91c4dfde57907d7698c7531785690a7f"><div class="ttname"><a href="_assert_8hpp.xhtml#a91c4dfde57907d7698c7531785690a7f">ARMNN_ASSERT_MSG</a></div><div class="ttdeci">#define ARMNN_ASSERT_MSG(COND, MSG)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00015">Assert.hpp:15</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.xhtml#a375ca3cff9f1b005d1412dc5f3cf5b6e">armnn::numeric_cast</a></div><div class="ttdeci">std::enable_if_t< std::is_unsigned< Source >::value &&std::is_unsigned< Dest >::value, Dest > numeric_cast(Source source)</div><div class="ttdef"><b>Definition:</b> <a href="_numeric_cast_8hpp_source.xhtml#l00035">NumericCast.hpp:35</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a662b45b5a4d48a01e967c0b28b6a552b">◆ </a></span>GraphTopologicalSort()</h2>
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<td class="memname">bool armnnUtils::GraphTopologicalSort </td>
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<p class="definition">Definition at line <a class="el" href="_graph_topological_sort_8hpp_source.xhtml#l00110">110</a> of file <a class="el" href="_graph_topological_sort_8hpp_source.xhtml">GraphTopologicalSort.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  outSorted.clear();</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  std::map<TNodeId, NodeState> nodeStates;</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span> </div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordflow">for</span> (TNodeId targetNode : targetNodes)</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  {</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  <span class="keywordflow">if</span> (!TopologicallySort(targetNode, getIncomingEdges, outSorted, nodeStates))</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span>  {</div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  }</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  }</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span> </div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  <span class="keywordflow">return</span> <span class="keyword">true</span>;</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#ad5310a199d4969927169ed084b1f6c28">◆ </a></span>MakeInputTensors()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> armnnUtils::MakeInputTensors </td>
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<td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.xhtml#l00017">17</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.xhtml">TensorIOUtils.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.xhtml#l00606">InferenceModel< IParser, TDataType >::GetAllQuantizationParams()</a>, and <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00047">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00019"></a><span class="lineno"> 19</span> {</div><div class="line"><a name="l00020"></a><span class="lineno"> 20</span>  <a class="code" href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> inputTensors;</div><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> </div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="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>  <span class="keywordflow">if</span> (numInputs != inputDataContainers.size())</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span>  {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(<span class="stringliteral">"The number of inputs does not match number of "</span></div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span>  <span class="stringliteral">"tensor data containers: {0} != {1}"</span>,</div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  numInputs,</div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  inputDataContainers.size()));</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  }</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span> </div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numInputs; i++)</div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  {</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& inputBinding = inputBindings[i];</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keyword">const</span> <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a>& inputData = inputDataContainers[i];</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> </div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  mapbox::util::apply_visitor([&](<span class="keyword">auto</span>&& value)</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span>  {</div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">if</span> (value.size() != inputBinding.second.GetNumElements())</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(<span class="stringliteral">"The input tensor has incorrect size (expected {0} got {1})"</span>,</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  inputBinding.second.GetNumElements(),</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  value.size()));</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  }</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span> </div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <a class="code" href="classarmnn_1_1_const_tensor.xhtml">armnn::ConstTensor</a> inputTensor(inputBinding.second, value.data());</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  inputTensors.push_back(std::make_pair(inputBinding.first, inputTensor));</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  },</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  inputData);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> </div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">return</span> inputTensors;</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> }</div><div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00055">ModelAccuracyCheckerTest.cpp:55</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.xhtml#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00340">Tensor.hpp:340</a></div></div>
<div class="ttc" id="classarmnn_1_1_const_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_const_tensor.xhtml">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.xhtml#l00314">Tensor.hpp:314</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00261">Tensor.hpp:261</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">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.xhtml#l00046">Exceptions.hpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ad4efd5a7fa660df5246466d83517220d">◆ </a></span>MakeOutputTensors()</h2>
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<td class="memname"><a class="el" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> armnnUtils::MakeOutputTensors </td>
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<td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td>
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<p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.xhtml#l00055">55</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.xhtml">TensorIOUtils.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_inference_model_8hpp_source.xhtml#l00606">InferenceModel< IParser, TDataType >::GetAllQuantizationParams()</a>, and <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00047">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00057"></a><span class="lineno"> 57</span> {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <a class="code" href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span> </div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = outputBindings.size();</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  <span class="keywordflow">if</span> (numOutputs != outputDataContainers.size())</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  {</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(fmt::format(<span class="stringliteral">"Number of outputs does not match number"</span></div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="stringliteral">"of tensor data containers: {0} != {1}"</span>,</div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  numOutputs,</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  outputDataContainers.size()));</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> </div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</div><div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  {</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keyword">const</span> <a class="code" href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& outputBinding = outputBindings[i];</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <a class="code" href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a>& outputData = outputDataContainers[i];</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span> </div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  mapbox::util::apply_visitor([&](<span class="keyword">auto</span>&& value)</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  {</div><div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  <span class="keywordflow">if</span> (value.size() != outputBinding.second.GetNumElements())</div><div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  {</div><div class="line"><a name="l00078"></a><span class="lineno"> 78</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_exception.xhtml">armnn::Exception</a>(<span class="stringliteral">"Output tensor has incorrect size"</span>);</div><div class="line"><a name="l00079"></a><span class="lineno"> 79</span>  }</div><div class="line"><a name="l00080"></a><span class="lineno"> 80</span> </div><div class="line"><a name="l00081"></a><span class="lineno"> 81</span>  <a class="code" href="classarmnn_1_1_tensor.xhtml">armnn::Tensor</a> outputTensor(outputBinding.second, value.data());</div><div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  outputTensors.push_back(std::make_pair(outputBinding.first, outputTensor));</div><div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  },</div><div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  outputData);</div><div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  }</div><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> </div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> outputTensors;</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> }</div><div class="ttc" id="_model_accuracy_checker_test_8cpp_xhtml_acf933608643ce27b3c68e3431d047d0a"><div class="ttname"><a href="_model_accuracy_checker_test_8cpp.xhtml#acf933608643ce27b3c68e3431d047d0a">TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_model_accuracy_checker_test_8cpp_source.xhtml#l00055">ModelAccuracyCheckerTest.cpp:55</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor.xhtml">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.xhtml#l00306">Tensor.hpp:306</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.xhtml#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00341">Tensor.hpp:341</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.xhtml#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a></div><div class="ttdeci">std::pair< armnn::LayerBindingId, armnn::TensorInfo > BindingPointInfo</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00261">Tensor.hpp:261</a></div></div>
<div class="ttc" id="classarmnn_1_1_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_exception.xhtml">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.xhtml#l00046">Exceptions.hpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#ab075020544612cd151ebdd08db537396">◆ </a></span>NonNegative()</h2>
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<td class="memname">uint32_t NonNegative </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.xhtml">CheckLocation</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.xhtml#l00035">35</a> of file <a class="el" href="_verification_helpers_8cpp_source.xhtml">VerificationHelpers.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00029">CheckLocation::AsString()</a>.</p>
<div class="fragment"><div class="line"><a name="l00038"></a><span class="lineno"> 38</span> {</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  <span class="keywordflow">if</span> (value < 0)</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.xhtml">ParseException</a>(fmt::format(<span class="stringliteral">"'{}' must be non-negative, received: {} at {}"</span>,</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  expr,</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  value,</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  }</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>uint32_t<span class="keyword">></span>(value);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="ttc" id="structarmnn_1_1_check_location_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml#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.xhtml#l00029">Exceptions.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a49ba5984d8cde4299d8ef15c9e556587">◆ </a></span>operator==() <span class="overload">[1/2]</span></h2>
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<td class="memname">bool operator== </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a> & </td>
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<p>Equality methods. </p>
<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.xhtml#l00034">34</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.xhtml">DataLayoutIndexed.cpp</a>.</p>
<p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_optional_test_8cpp_source.xhtml#l00121">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_layer_8hpp_source.xhtml#l00151">OutputSlot::Disconnect()</a>, and <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00027">DataLayoutIndexed::GetIndex()</a>.</p>
<div class="fragment"><div class="line"><a name="l00035"></a><span class="lineno"> 35</span> {</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="keywordflow">return</span> dataLayout == indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>();</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> }</div><div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#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.xhtml#l00022">DataLayoutIndexed.hpp:22</a></div></div>
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<td class="memname">bool operator== </td>
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<td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.xhtml">DataLayoutIndexed</a> & </td>
<td class="paramname"><em>indexed</em>, </td>
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<td class="paramtype">const <a class="el" href="namespacearmnn.xhtml#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.xhtml#l00039">39</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.xhtml">DataLayoutIndexed.cpp</a>.</p>
<p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.xhtml#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p>
<div class="fragment"><div class="line"><a name="l00040"></a><span class="lineno"> 40</span> {</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  <span class="keywordflow">return</span> indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.xhtml#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>() == dataLayout;</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> }</div><div class="ttc" id="classarmnn_utils_1_1_data_layout_indexed_xhtml_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.xhtml#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.xhtml#l00022">DataLayoutIndexed.hpp:22</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#af3c74017185773dd61d8ca6662d65d43">◆ </a></span>Permute()</h2>
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<td class="memname">void Permute </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.xhtml#l00131">131</a> of file <a class="el" href="_permute_8cpp_source.xhtml">Permute.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="backends_2reference_2workloads_2_depth_to_space_8cpp_source.xhtml#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01627">DepthwiseConvolution2dAsymmetricTestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01765">DepthwiseConvolution2dDepthMul1TestImpl()</a>, <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l01919">DepthwiseConvolution2dTestImpl()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01213">ITfParser::TfParserImpl::ParseConv2D()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01341">ITfParser::TfParserImpl::ParseDepthwiseConv2D()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00020">PermuteLayer::PermuteLayer()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00014">PermuteTensorNchwToNhwc()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00026">PermuteTensorNhwcToNchw()</a>, <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor< float >()</a>, and <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00200">SimpleConvolution2dTestImpl()</a>.</p>
<div class="fragment"><div class="line"><a name="l00133"></a><span class="lineno"> 133</span> {</div><div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  PermuteLoop(dstShape, mappings).Unroll(src, dst, dataTypeSize);</div><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> }</div></div><!-- fragment -->
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> Permuted </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.xhtml#l00098">98</a> of file <a class="el" href="_permute_8cpp_source.xhtml">Permute.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_types_8hpp_source.xhtml#l00241">PermutationVector::GetSize()</a>, and <a class="el" href="_types_8hpp_source.xhtml#l00018">armnn::MaxNumOfTensorDimensions</a>.</p>
<p class="reference">Referenced by <a class="el" href="_utils_tests_8cpp_source.xhtml#l00250">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00110">armnn::ConvertWeightTensorInfoFromArmnnToAcl()</a>, <a class="el" href="_permute_layer_8cpp_source.xhtml#l00038">PermuteLayer::InferOutputShapes()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01213">ITfParser::TfParserImpl::ParseConv2D()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l01341">ITfParser::TfParserImpl::ParseDepthwiseConv2D()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00115">Permuted()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00171">PermuteInputsForConcat()</a>, <a class="el" href="_workload_utils_8cpp_source.xhtml#l00014">armnn::PermuteTensor()</a>, <a class="el" href="_concat_test_impl_8cpp_source.xhtml#l00121">PermuteTensorData()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00014">PermuteTensorNchwToNhwc()</a>, <a class="el" href="_data_layout_utils_8hpp_source.xhtml#l00026">PermuteTensorNhwcToNchw()</a>, and <a class="el" href="_move_permute_up_8hpp_source.xhtml#l00023">MovePermuteUpImpl::Run()</a>.</p>
<div class="fragment"><div class="line"><a name="l00100"></a><span class="lineno"> 100</span> {</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span>  assert(srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == mappings.<a class="code" href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>());</div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span> </div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <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.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>();</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDims[<a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a>];</div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span> </div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0U; i < numDims; ++i)</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  {</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  outDims[mappings[i]] = srcShape[i];</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  }</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span> </div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> permutedShape(numDims, outDims);</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keywordflow">return</span> permutedShape;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00241">Types.hpp:241</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00018">Types.hpp:18</a></div></div>
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<p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.xhtml#l00115">115</a> of file <a class="el" href="_permute_8cpp_source.xhtml">Permute.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00485">TensorInfo::GetQuantizationDim()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00437">TensorInfo::HasPerAxisQuantization()</a>, <a class="el" href="_permute_8cpp_source.xhtml#l00098">Permuted()</a>, <a class="el" href="_tensor_8cpp_source.xhtml#l00490">TensorInfo::SetQuantizationDim()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00189">TensorInfo::SetShape()</a>, and <a class="el" href="_optional_8hpp_source.xhtml#l00146">OptionalReferenceSwitch< IsReference, T >::value()</a>.</p>
<div class="fragment"><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> {</div><div class="line"><a name="l00119"></a><span class="lineno"> 119</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outInfo(info);</div><div class="line"><a name="l00120"></a><span class="lineno"> 120</span>  outInfo.SetShape(<a class="code" href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">Permuted</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings));</div><div class="line"><a name="l00121"></a><span class="lineno"> 121</span> </div><div class="line"><a name="l00122"></a><span class="lineno"> 122</span>  <span class="comment">// If TensorInfo has Per-Axis Quantization then permute QuantizationDim to mapping</span></div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">if</span> (info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>() && perChannelPermute)</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span>  {</div><div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  outInfo.SetQuantizationDim(mappings[info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">value</a>()]);</div><div class="line"><a name="l00126"></a><span class="lineno"> 126</span>  }</div><div class="line"><a name="l00127"></a><span class="lineno"> 127</span> </div><div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="keywordflow">return</span> outInfo;</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00437">Tensor.cpp:437</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00485">Tensor.cpp:485</a></div></div>
<div class="ttc" id="classarmnn_1_1_optional_reference_switch_xhtml_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.xhtml#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.xhtml#l00146">Optional.hpp:146</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.xhtml#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.xhtml#l00098">Permute.cpp:98</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a523deabeb7d0a884028b35eebfd1cb6c">◆ </a></span>ProcessConcatInputTensorInfo()</h2>
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<td class="memname">void ProcessConcatInputTensorInfo </td>
<td>(</td>
<td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> & </td>
<td class="paramname"><em>inputTensorInfo</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype"><a class="el" href="structarmnn_1_1_origins_descriptor.xhtml">armnn::OriginsDescriptor</a> & </td>
<td class="paramname"><em>concatDescriptor</em>, </td>
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<td class="paramtype">const unsigned int & </td>
<td class="paramname"><em>concatAxis</em>, </td>
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<td class="paramtype">unsigned int </td>
<td class="paramname"><em>inputIndex</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">unsigned int & </td>
<td class="paramname"><em>mergeDimOrigin</em> </td>
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<p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.xhtml#l00019">19</a> of file <a class="el" href="_parser_helper_8cpp_source.xhtml">ParserHelper.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00197">CHECK_LOCATION</a>, <a class="el" href="_descriptors_8cpp_source.xhtml#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00191">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, and <a class="el" href="_descriptors_8cpp_source.xhtml#l00167">OriginsDescriptor::SetViewOriginCoord()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_lite_parser_8cpp_source.xhtml#l02112">TfLiteParserImpl::OutputShapeOfReshape()</a>.</p>
<div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> {</div><div class="line"><a name="l00025"></a><span class="lineno"> 25</span>  <span class="keyword">const</span> uint32_t inputRank = concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a78e8266be865fdd92cadd04d6e25ae1f">GetNumDimensions</a>();</div><div class="line"><a name="l00026"></a><span class="lineno"> 26</span> </div><div class="line"><a name="l00027"></a><span class="lineno"> 27</span>  <span class="comment">// double check dimensions of the tensors</span></div><div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  <span class="keywordflow">if</span> (inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != inputRank)</div><div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  {</div><div class="line"><a name="l00030"></a><span class="lineno"> 30</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a>(fmt::format(</div><div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="stringliteral">"The number of dimensions: {0} for input tensors of the "</span></div><div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="stringliteral">"concatenation op should be {1} {2}"</span>,</div><div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div><div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  inputRank,</div><div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  <a class="code" href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div><div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  }</div><div class="line"><a name="l00037"></a><span class="lineno"> 37</span> </div><div class="line"><a name="l00038"></a><span class="lineno"> 38</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = 0; j < concatAxis; ++j)</div><div class="line"><a name="l00039"></a><span class="lineno"> 39</span>  {</div><div class="line"><a name="l00040"></a><span class="lineno"> 40</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div><div class="line"><a name="l00041"></a><span class="lineno"> 41</span>  }</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span> </div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, concatAxis, mergeDimOrigin);</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  mergeDimOrigin += inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[concatAxis];</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span> </div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> j = concatAxis + 1; j < inputRank; ++j)</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  concatDescriptor.<a class="code" href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">SetViewOriginCoord</a>(inputIndex, j, 0);</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  }</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="_exceptions_8hpp_xhtml_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.xhtml#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00197">Exceptions.hpp:197</a></div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#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.xhtml#l00192">Descriptors.cpp:192</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#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.xhtml#l00191">Tensor.hpp:191</a></div></div>
<div class="ttc" id="structarmnn_1_1_origins_descriptor_xhtml_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.xhtml#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">Set the view origin coordinates. </div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.xhtml#l00167">Descriptors.cpp:167</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#afb0aab92dc5b9bc5d7ebe2ea036f3809">◆ </a></span>QuantizedVector() <span class="overload">[1/3]</span></h2>
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<td class="memname">std::vector<T> armnnUtils::QuantizedVector </td>
<td>(</td>
<td class="paramtype">FloatIt </td>
<td class="paramname"><em>first</em>, </td>
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<td></td>
<td class="paramtype">FloatIt </td>
<td class="paramname"><em>last</em>, </td>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">float </td>
<td class="paramname"><em>qScale</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">int32_t </td>
<td class="paramname"><em>qOffset</em> </td>
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<p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00105">105</a> of file <a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00106"></a><span class="lineno"> 106</span> {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  std::vector<T> quantized;</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  quantized.reserve(armnn::numeric_cast<size_t>(std::distance(first, last)));</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span> </div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">for</span> (<span class="keyword">auto</span> it = first; it != last; ++it)</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span>  {</div><div class="line"><a name="l00112"></a><span class="lineno"> 112</span>  <span class="keyword">auto</span> f = *it;</div><div class="line"><a name="l00113"></a><span class="lineno"> 113</span>  T q = SelectiveQuantize<T>(f, qScale, qOffset);</div><div class="line"><a name="l00114"></a><span class="lineno"> 114</span>  quantized.push_back(q);</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  }</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span> </div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> quantized;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div></div><!-- fragment -->
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<td class="memname">std::vector<T> armnnUtils::QuantizedVector </td>
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<td class="paramtype">const std::vector< float > & </td>
<td class="paramname"><em>array</em>, </td>
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<td class="paramkey"></td>
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<td class="paramtype">float </td>
<td class="paramname"><em>qScale</em> = <code>1.f</code>, </td>
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<td class="paramname"><em>qOffset</em> = <code>0</code> </td>
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<p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00121">121</a> of file <a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  <span class="keywordflow">return</span> QuantizedVector<T>(array.begin(), array.end(), qScale, qOffset);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div></div><!-- fragment -->
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<td class="memname">std::vector<T> armnnUtils::QuantizedVector </td>
<td>(</td>
<td class="paramtype">std::initializer_list< float > </td>
<td class="paramname"><em>array</em>, </td>
</tr>
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<td class="paramkey"></td>
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<td class="paramname"><em>qScale</em> = <code>1.f</code>, </td>
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<td class="paramname"><em>qOffset</em> = <code>0</code> </td>
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<p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00127">127</a> of file <a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>.</p>
<div class="fragment"><div class="line"><a name="l00128"></a><span class="lineno"> 128</span> {</div><div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  <span class="keywordflow">return</span> QuantizedVector<T>(array.begin(), array.end(), qScale, qOffset);</div><div class="line"><a name="l00130"></a><span class="lineno"> 130</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a5135dc1ce7a8aeb97623c1a92c5a3543">◆ </a></span>SelectiveDequantize()</h2>
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<td class="memname">float armnnUtils::SelectiveDequantize </td>
<td>(</td>
<td class="paramtype">T </td>
<td class="paramname"><em>value</em>, </td>
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<td class="paramtype">float </td>
<td class="paramname"><em>scale</em>, </td>
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<td class="paramname"><em>offset</em> </td>
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<p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00091">91</a> of file <a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>.</p>
<p class="reference">References <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00030">SelectiveQuantizer< T, DoQuantize >::Dequantize()</a>.</p>
<p class="reference">Referenced by <a class="el" href="_conv2d_test_impl_8cpp_source.xhtml#l00168">ApplyBias()</a>.</p>
<div class="fragment"><div class="line"><a name="l00092"></a><span class="lineno"> 92</span> {</div><div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">return</span> SelectiveQuantizer<T, armnn::IsQuantizedType<T>()>::<a class="code" href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">Dequantize</a>(value, scale, offset);</div><div class="line"><a name="l00094"></a><span class="lineno"> 94</span> };</div><div class="ttc" id="namespacearmnn_xhtml_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.xhtml#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="ttdoc">Dequantize an 8-bit data type into a floating point data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00046">TypesUtils.cpp:46</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a21b249bca87a5ad47359abd9ec7acada">◆ </a></span>SelectiveQuantize()</h2>
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<td class="memname">T armnnUtils::SelectiveQuantize </td>
<td>(</td>
<td class="paramtype">float </td>
<td class="paramname"><em>value</em>, </td>
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<td class="paramtype">float </td>
<td class="paramname"><em>scale</em>, </td>
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<td class="paramname"><em>offset</em> </td>
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<p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00085">85</a> of file <a class="el" href="_quantize_helper_8hpp_source.xhtml">QuantizeHelper.hpp</a>.</p>
<p class="reference">References <a class="el" href="_quantize_helper_8hpp_source.xhtml#l00025">SelectiveQuantizer< T, DoQuantize >::Quantize()</a>.</p>
<div class="fragment"><div class="line"><a name="l00086"></a><span class="lineno"> 86</span> {</div><div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordflow">return</span> SelectiveQuantizer<T, armnn::IsQuantizedType<T>()>::<a class="code" href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">Quantize</a>(value, scale, offset);</div><div class="line"><a name="l00088"></a><span class="lineno"> 88</span> };</div><div class="ttc" id="namespacearmnn_xhtml_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.xhtml#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">Quantize a floating point data type into an 8-bit data type. </div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8cpp_source.xhtml#l00030">TypesUtils.cpp:30</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a158a68b143d2564fa1ca047646cf4185">◆ </a></span>SplitBy()</h2>
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<td class="memname">std::vector< std::string > SplitBy </td>
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<td class="paramtype">const std::string & </td>
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<td class="paramname"><em>delimiter</em> = <code>" "</code>, </td>
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<td class="paramtype">bool </td>
<td class="paramname"><em>includeEmptyToken</em> = <code><a class="el" href="_ref_layer_tests_8cpp.xhtml#a2289f9e7fac0ce47801448e873b04303">false</a></code> </td>
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<p>Split a string into tokens by a delimiter. </p>
<dl class="params"><dt>Parameters</dt><dd>
<table class="params">
<tr><td class="paramdir">[in]</td><td class="paramname">originalString</td><td>Original string to be split </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">delimiter</td><td>Delimiter used to split <code>originalString</code> </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">includeEmptyToekn</td><td>If true, include empty tokens in the result </td></tr>
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<dl class="section return"><dt>Returns</dt><dd>A vector of tokens split from <code>originalString</code> by </dd></dl>
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml#l00040">40</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml">ModelAccuracyChecker.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00497">LoadModelOutputLabels()</a>, and <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00047">main()</a>.</p>
<div class="fragment"><div class="line"><a name="l00041"></a><span class="lineno"> 41</span> {</div><div class="line"><a name="l00042"></a><span class="lineno"> 42</span>  std::vector<std::string> tokens;</div><div class="line"><a name="l00043"></a><span class="lineno"> 43</span>  <span class="keywordtype">size_t</span> cur = 0;</div><div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">size_t</span> next = 0;</div><div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordflow">while</span> ((next = originalString.find(delimiter, cur)) != std::string::npos)</div><div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  {</div><div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div><div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="keywordflow">if</span> (next - cur > 0 || includeEmptyToken)</div><div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  {</div><div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  tokens.push_back(originalString.substr(cur, next - cur));</div><div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  }</div><div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  cur = next + delimiter.size();</div><div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  }</div><div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="comment">// Get the remaining token</span></div><div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">if</span> (originalString.size() - cur > 0 || includeEmptyToken)</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  tokens.push_back(originalString.substr(cur, originalString.size() - cur));</div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  }</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  <span class="keywordflow">return</span> tokens;</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a14be0364a6fc0975d45e84737dfe21bc">◆ </a></span>Strip()</h2>
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<td class="memname">std::string Strip </td>
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<td class="paramtype">const std::string & </td>
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<p>Remove any preceding and trailing character specified in the characterSet. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramdir">[in]</td><td class="paramname">originalString</td><td>Original string to be stripped </td></tr>
<tr><td class="paramdir">[in]</td><td class="paramname">characterSet</td><td>Set of characters to be stripped from <code>originalString</code> </td></tr>
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<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>
<p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml#l00064">64</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.xhtml">ModelAccuracyChecker.cpp</a>.</p>
<p class="reference">References <a class="el" href="_assert_8hpp_source.xhtml#l00014">ARMNN_ASSERT</a>.</p>
<p class="reference">Referenced by <a class="el" href="_model_accuracy_tool-_armnn_8cpp_source.xhtml#l00497">LoadModelOutputLabels()</a>.</p>
<div class="fragment"><div class="line"><a name="l00065"></a><span class="lineno"> 65</span> {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <a class="code" href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a>(!characterSet.empty());</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  <span class="keyword">const</span> std::size_t firstFound = originalString.find_first_not_of(characterSet);</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span>  <span class="keyword">const</span> std::size_t lastFound = originalString.find_last_not_of(characterSet);</div><div class="line"><a name="l00069"></a><span class="lineno"> 69</span>  <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="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">if</span> (firstFound == std::string::npos || lastFound == std::string::npos)</div><div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  {</div><div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">return</span> <span class="stringliteral">""</span>;</div><div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  }</div><div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">return</span> originalString.substr(firstFound, lastFound + 1 - firstFound);</div><div class="line"><a name="l00075"></a><span class="lineno"> 75</span> }</div><div class="ttc" id="_assert_8hpp_xhtml_a5698be69cbd5dfe6c28fcd9867e8cbed"><div class="ttname"><a href="_assert_8hpp.xhtml#a5698be69cbd5dfe6c28fcd9867e8cbed">ARMNN_ASSERT</a></div><div class="ttdeci">#define ARMNN_ASSERT(COND)</div><div class="ttdef"><b>Definition:</b> <a href="_assert_8hpp_source.xhtml#l00014">Assert.hpp:14</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a405d5f966ec992d1717711e5a2d7909d">◆ </a></span>Transpose()</h2>
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<td class="memname">void Transpose </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
<td class="paramname"><em>dstShape</em>, </td>
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<td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td>
<td class="paramname"><em>mappings</em>, </td>
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<td class="paramtype">void * </td>
<td class="paramname"><em>dst</em>, </td>
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<td class="paramtype">size_t </td>
<td class="paramname"><em>dataTypeSize</em> </td>
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<p class="definition">Definition at line <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00120">120</a> of file <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml">Transpose.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00020">TransposeLayer::TransposeLayer()</a>.</p>
<div class="fragment"><div class="line"><a name="l00122"></a><span class="lineno"> 122</span> {</div><div class="line"><a name="l00123"></a><span class="lineno"> 123</span>  TransposeLoop(srcShape, mappings).Unroll(src, dst, dataTypeSize);</div><div class="line"><a name="l00124"></a><span class="lineno"> 124</span> }</div></div><!-- fragment -->
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<h2 class="memtitle"><span class="permalink"><a href="#a428a9a6ffdf0e8d723b50c038c56c336">◆ </a></span>TransposeTensorShape() <span class="overload">[1/2]</span></h2>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> TransposeTensorShape </td>
<td>(</td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> & </td>
<td class="paramname"><em>srcShape</em>, </td>
</tr>
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<td class="paramkey"></td>
<td></td>
<td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> & </td>
<td class="paramname"><em>mappings</em> </td>
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<p class="definition">Definition at line <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">98</a> of file <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml">Transpose.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8cpp_source.xhtml#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_types_8hpp_source.xhtml#l00241">PermutationVector::GetSize()</a>, and <a class="el" href="_types_8hpp_source.xhtml#l00018">armnn::MaxNumOfTensorDimensions</a>.</p>
<p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.xhtml#l00038">TransposeLayer::InferOutputShapes()</a>, <a class="el" href="_tf_parser_8cpp_source.xhtml#l02101">ITfParser::TfParserImpl::ParseTranspose()</a>, <a class="el" href="_move_transpose_up_8hpp_source.xhtml#l00023">MoveTransposeUpImpl::Run()</a>, and <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00113">TransposeTensorShape()</a>.</p>
<div class="fragment"><div class="line"><a name="l00099"></a><span class="lineno"> 99</span> {</div><div class="line"><a name="l00100"></a><span class="lineno"> 100</span>  assert(srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() == mappings.<a class="code" href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>());</div><div class="line"><a name="l00101"></a><span class="lineno"> 101</span> </div><div class="line"><a name="l00102"></a><span class="lineno"> 102</span>  <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.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>();</div><div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDims[<a class="code" href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a>];</div><div class="line"><a name="l00104"></a><span class="lineno"> 104</span> </div><div class="line"><a name="l00105"></a><span class="lineno"> 105</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0U; i < numDims; ++i)</div><div class="line"><a name="l00106"></a><span class="lineno"> 106</span>  {</div><div class="line"><a name="l00107"></a><span class="lineno"> 107</span>  outDims[i] = srcShape[mappings[i]];</div><div class="line"><a name="l00108"></a><span class="lineno"> 108</span>  }</div><div class="line"><a name="l00109"></a><span class="lineno"> 109</span>  <a class="code" href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a> permutedShape(numDims, outDims);</div><div class="line"><a name="l00110"></a><span class="lineno"> 110</span>  <span class="keywordflow">return</span> permutedShape;</div><div class="line"><a name="l00111"></a><span class="lineno"> 111</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00020">Tensor.hpp:20</a></div></div>
<div class="ttc" id="classarmnn_1_1_permutation_vector_xhtml_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.xhtml#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00241">Types.hpp:241</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_shape_xhtml_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.xhtml#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank. </div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.xhtml#l00174">Tensor.cpp:174</a></div></div>
<div class="ttc" id="namespacearmnn_xhtml_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.xhtml#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.xhtml#l00018">Types.hpp:18</a></div></div>
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<td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> TransposeTensorShape </td>
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<p class="definition">Definition at line <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00113">113</a> of file <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml">Transpose.cpp</a>.</p>
<p class="reference">References <a class="el" href="_tensor_8hpp_source.xhtml#l00187">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8hpp_source.xhtml#l00189">TensorInfo::SetShape()</a>, and <a class="el" href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">TransposeTensorShape()</a>.</p>
<div class="fragment"><div class="line"><a name="l00114"></a><span class="lineno"> 114</span> {</div><div class="line"><a name="l00115"></a><span class="lineno"> 115</span>  <a class="code" href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a> outInfo(info);</div><div class="line"><a name="l00116"></a><span class="lineno"> 116</span>  outInfo.SetShape(<a class="code" href="namespacearmnn_utils.xhtml#a428a9a6ffdf0e8d723b50c038c56c336">TransposeTensorShape</a>(info.<a class="code" href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), mappings));</div><div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordflow">return</span> outInfo;</div><div class="line"><a name="l00118"></a><span class="lineno"> 118</span> }</div><div class="ttc" id="classarmnn_1_1_tensor_info_xhtml_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00187">Tensor.hpp:187</a></div></div>
<div class="ttc" id="classarmnn_1_1_tensor_info_xhtml"><div class="ttname"><a href="classarmnn_1_1_tensor_info.xhtml">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.xhtml#l00152">Tensor.hpp:152</a></div></div>
<div class="ttc" id="namespacearmnn_utils_xhtml_a428a9a6ffdf0e8d723b50c038c56c336"><div class="ttname"><a href="namespacearmnn_utils.xhtml#a428a9a6ffdf0e8d723b50c038c56c336">armnnUtils::TransposeTensorShape</a></div><div class="ttdeci">armnn::TensorShape TransposeTensorShape(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="armnn_utils_2_transpose_8cpp_source.xhtml#l00098">Transpose.cpp:98</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a2e0aa273755368a1bf5fc65102df4a92">◆ </a></span>VerifyInt32()</h2>
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<td class="memname">int32_t VerifyInt32 </td>
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<td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.xhtml">armnn::CheckLocation</a> & </td>
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<p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.xhtml#l00052">52</a> of file <a class="el" href="_verification_helpers_8cpp_source.xhtml">VerificationHelpers.cpp</a>.</p>
<p class="reference">References <a class="el" href="_exceptions_8hpp_source.xhtml#l00029">CheckLocation::AsString()</a>.</p>
<div class="fragment"><div class="line"><a name="l00055"></a><span class="lineno"> 55</span> {</div><div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="keywordflow">if</span> (value < std::numeric_limits<int>::min() || value > std::numeric_limits<int>::max())</div><div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  {</div><div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_parse_exception.xhtml">ParseException</a>(fmt::format(<span class="stringliteral">"'{}' must should fit into a int32 (ArmNN don't support int64),"</span></div><div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <span class="stringliteral">" received: {} at {}"</span>,</div><div class="line"><a name="l00060"></a><span class="lineno"> 60</span>  expr,</div><div class="line"><a name="l00061"></a><span class="lineno"> 61</span>  value,</div><div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  location.<a class="code" href="structarmnn_1_1_check_location.xhtml#a5e3562cda960da001597e7dd5679b140">AsString</a>()));</div><div class="line"><a name="l00063"></a><span class="lineno"> 63</span>  }</div><div class="line"><a name="l00064"></a><span class="lineno"> 64</span>  <span class="keywordflow">else</span></div><div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  {</div><div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  <span class="keywordflow">return</span> <span class="keyword">static_cast<</span>int32_t<span class="keyword">></span>(value);</div><div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  }</div><div class="line"><a name="l00068"></a><span class="lineno"> 68</span> }</div><div class="ttc" id="structarmnn_1_1_check_location_xhtml_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.xhtml#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.xhtml#l00029">Exceptions.hpp:29</a></div></div>
<div class="ttc" id="classarmnn_1_1_parse_exception_xhtml"><div class="ttname"><a href="classarmnn_1_1_parse_exception.xhtml">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.xhtml#l00092">Exceptions.hpp:92</a></div></div>
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<h2 class="memtitle"><span class="permalink"><a href="#a56b0e17341e000fa1d4561890294520c">◆ </a></span>within_percentage_tolerance()</h2>
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<p>Compare two floats and return true if their values are within a specified tolerance of each other. </p>
<dl class="params"><dt>Parameters</dt><dd>
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<tr><td class="paramname">a</td><td></td></tr>
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<dl class="section return"><dt>Returns</dt><dd>true if the value of float b is within tolerancePercentage of the value for float a. </dd></dl>
<p class="definition">Definition at line <a class="el" href="_floating_point_comparison_8hpp_source.xhtml#l00020">20</a> of file <a class="el" href="_floating_point_comparison_8hpp_source.xhtml">FloatingPointComparison.hpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_floating_point_comparison_test_8cpp_source.xhtml#l00014">BOOST_AUTO_TEST_CASE()</a>, <a class="el" href="_tensor_helpers_8hpp_source.xhtml#l00037">SelectiveComparer< T, false >::Compare()</a>, and <a class="el" href="_yolo_inference_test_8hpp_source.xhtml#l00032">YoloTestCase< Model >::ProcessResult()</a>.</p>
<div class="fragment"><div class="line"><a name="l00021"></a><span class="lineno"> 21</span> {</div><div class="line"><a name="l00022"></a><span class="lineno"> 22</span>  <span class="keywordtype">float</span> toleranceValue = std::fabs(a * (tolerancePercent / 100));</div><div class="line"><a name="l00023"></a><span class="lineno"> 23</span>  <span class="keywordflow">return</span> std::fabs(a - b) <= toleranceValue;</div><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> }</div></div><!-- fragment -->
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<h2 class="groupheader">Variable Documentation</h2>
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<h2 class="memtitle"><span class="permalink"><a href="#a59cbccbfbae7633020d200f8c23fe69e">◆ </a></span>ArmNNToNHWC</h2>
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<td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> ArmNNToNHWC = { 0, 3, 1, 2 }</td>
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<p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.xhtml#l00017">17</a> of file <a class="el" href="_parser_helper_8cpp_source.xhtml">ParserHelper.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.xhtml#l00084">ITfParser::GetNetworkOutputBindingInfo()</a>.</p>
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<h2 class="memtitle"><span class="permalink"><a href="#a12124184ac6aec018beb98b9715330c7">◆ </a></span>NHWCToArmNN</h2>
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<td class="memname">const <a class="el" href="classarmnn_1_1_permutation_vector.xhtml">armnn::PermutationVector</a> NHWCToArmNN = { 0, 2, 3, 1 }</td>
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<p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.xhtml#l00016">16</a> of file <a class="el" href="_parser_helper_8cpp_source.xhtml">ParserHelper.cpp</a>.</p>
<p class="reference">Referenced by <a class="el" href="_tf_parser_8cpp_source.xhtml#l00084">ITfParser::GetNetworkOutputBindingInfo()</a>, and <a class="el" href="_image_tensor_generator_8hpp_source.xhtml#l00091">PrepareImageTensor< float >()</a>.</p>
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