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| Classes</h2></td></tr> |
| <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_data_layout_indexed.html">DataLayoutIndexed</a></td></tr> |
| <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.html#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.html">FloatingPointConverter</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_is_floating_point_iterator.html">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.html">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.html">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.html">SelectiveQuantizer</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_3_01armnn_1_1_b_float16_00_01false_01_4.html">SelectiveQuantizer< armnn::BFloat16, false ></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_3_01armnn_1_1_half_00_01false_01_4.html">SelectiveQuantizer< armnn::Half, false ></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_3_01_t_00_01false_01_4.html">SelectiveQuantizer< T, false ></a></td></tr> |
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| Typedefs</h2></td></tr> |
| <tr class="memitem:ac7bd4ea667375c07718086368507ed44"><td class="memItemLeft" align="right" valign="top">using </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> = mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char >, std::vector< int8_t > ></td></tr> |
| <tr class="separator:ac7bd4ea667375c07718086368507ed44"><td class="memSeparator" colspan="2"> </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.html#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector< std::string ></td></tr> |
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| Functions</h2></td></tr> |
| <tr class="memitem:afb0302d3269537af9680c698599deac5"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:afb0302d3269537af9680c698599deac5"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">CompatibleTypes</a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a>)</td></tr> |
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| <tr class="memitem:a49ba5984d8cde4299d8ef15c9e556587"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a49ba5984d8cde4299d8ef15c9e556587">operator==</a> (const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> &dataLayout, const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> &indexed)</td></tr> |
| <tr class="memdesc:a49ba5984d8cde4299d8ef15c9e556587"><td class="mdescLeft"> </td><td class="mdescRight">Equality methods. <a href="namespacearmnn_utils.html#a49ba5984d8cde4299d8ef15c9e556587">More...</a><br /></td></tr> |
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| <tr class="memitem:a0448088ed94f810bd2464f3afd1859f0"><td class="memItemLeft" align="right" valign="top">bool </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a0448088ed94f810bd2464f3afd1859f0">operator==</a> (const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> &indexed, const <a class="el" href="namespacearmnn.html#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.html#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="namespacearmnn_utils.html#a56b0e17341e000fa1d4561890294520c">More...</a><br /></td></tr> |
| <tr class="separator:a56b0e17341e000fa1d4561890294520c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:abeaf4f6785039866fd075f4569ba8e84"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">Permuted</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &srcShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings)</td></tr> |
| <tr class="separator:abeaf4f6785039866fd075f4569ba8e84"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a2ba6f6f40c7382b61b00ac02f961ba22"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a2ba6f6f40c7382b61b00ac02f961ba22">Permuted</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &info, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings)</td></tr> |
| <tr class="separator:a2ba6f6f40c7382b61b00ac02f961ba22"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af3c74017185773dd61d8ca6662d65d43"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#af3c74017185773dd61d8ca6662d65d43">Permute</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &dstShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings, const void *src, void *dst, size_t dataTypeSize)</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.html#a21b249bca87a5ad47359abd9ec7acada">SelectiveQuantize</a> (float value, float scale, int32_t offset)</td></tr> |
| <tr class="separator:a21b249bca87a5ad47359abd9ec7acada"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a5135dc1ce7a8aeb97623c1a92c5a3543">SelectiveDequantize</a> (T value, float scale, int32_t offset)</td></tr> |
| <tr class="separator:a5135dc1ce7a8aeb97623c1a92c5a3543"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#afb0aab92dc5b9bc5d7ebe2ea036f3809">QuantizedVector</a> (FloatIt first, FloatIt last, float qScale, int32_t qOffset)</td></tr> |
| <tr class="separator:afb0aab92dc5b9bc5d7ebe2ea036f3809"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad10541679f7d9740ba7a3c96b9843456"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <tr class="memitem:ad10541679f7d9740ba7a3c96b9843456"><td class="memTemplItemLeft" align="right" valign="top">std::vector< T > </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad10541679f7d9740ba7a3c96b9843456">QuantizedVector</a> (const std::vector< float > &array, float qScale=1.f, int32_t qOffset=0)</td></tr> |
| <tr class="separator:ad10541679f7d9740ba7a3c96b9843456"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memTemplParams" colspan="2">template<typename T > </td></tr> |
| <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.html#af29a7b903bf7ae9639ea29bc05ccb289">QuantizedVector</a> (std::initializer_list< float > array, float qScale=1.f, int32_t qOffset=0)</td></tr> |
| <tr class="separator:af29a7b903bf7ae9639ea29bc05ccb289"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ab53d94ea22b51c6bcdf9584644bd67bb"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ab53d94ea22b51c6bcdf9584644bd67bb">GetTensorShape</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout)</td></tr> |
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| <tr class="memitem:acee63cd08da47910fc166a1990988fa8"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#acee63cd08da47910fc166a1990988fa8">GetTensorInfo</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout, const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType)</td></tr> |
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| <tr class="memitem:aee5883b056e03a22db41b7b471fb598e"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#aee5883b056e03a22db41b7b471fb598e">GetTensorInfo</a> (unsigned int numberOfBatches, unsigned int numberOfChannels, unsigned int depth, unsigned int height, unsigned int width, const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> dataLayout, const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> dataType)</td></tr> |
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| <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.html#a1c9097ab13afc54b48c503c6487aaee1">FindMinMax</a> (<a class="el" href="classarmnn_1_1_i_tensor_handle.html">armnn::ITensorHandle</a> *tensorHandle)</td></tr> |
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| <tr class="memitem:a2bff2aae3ae824ff74ba550488373886"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">ReduceDims</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &tensorInfo, unsigned int dimensions)</td></tr> |
| <tr class="separator:a2bff2aae3ae824ff74ba550488373886"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a29e9952fc973569b267d87b04ce372c2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a29e9952fc973569b267d87b04ce372c2">ReduceDims</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &tensorInfo, unsigned int dimensions)</td></tr> |
| <tr class="separator:a29e9952fc973569b267d87b04ce372c2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0d3b1be320610515e0cac8d745d9f8c2"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a0d3b1be320610515e0cac8d745d9f8c2">ExpandDims</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &tensorShape, int axis)</td></tr> |
| <tr class="separator:a0d3b1be320610515e0cac8d745d9f8c2"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9ef6d3649c5d3aa16a9839e3e2ad659b"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a9ef6d3649c5d3aa16a9839e3e2ad659b">ExpandDimsToRank</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &tensorShape, unsigned int rank)</td></tr> |
| <tr class="separator:a9ef6d3649c5d3aa16a9839e3e2ad659b"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ac7f0575b4a8c9ba80c5b0695ada4dd92"><td class="memItemLeft" align="right" valign="top">std::vector< unsigned int > </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ac7f0575b4a8c9ba80c5b0695ada4dd92">SqueezeDims</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &tensorShape)</td></tr> |
| <tr class="separator:ac7f0575b4a8c9ba80c5b0695ada4dd92"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#af57864f5e03358d14c2988edae912b8b">GetNumElementsBetween</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &shape, unsigned int firstAxisInclusive, unsigned int lastAxisExclusive)</td></tr> |
| <tr class="separator:af57864f5e03358d14c2988edae912b8b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#ac93cb1365b4bcb67df2a3164606096c5">GetUnsignedAxis</a> (const unsigned int inputDimension, const int axis)</td></tr> |
| <tr class="separator:ac93cb1365b4bcb67df2a3164606096c5"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &shape, unsigned int axis)</td></tr> |
| <tr class="separator:a276aac5f7a8bdc3db4f62203870ca13b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a1826e433f7e6817976a8175b4ef8296c">GetPerAxisParams</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &info)</td></tr> |
| <tr class="separator:a1826e433f7e6817976a8175b4ef8296c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a573c6170ca8451709e031b6243bc187d"><td class="memTemplParams" colspan="2">template<typename PrimitiveType > </td></tr> |
| <tr class="memitem:a573c6170ca8451709e031b6243bc187d"><td class="memTemplItemLeft" align="right" valign="top">std::unique_ptr< float[]> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a573c6170ca8451709e031b6243bc187d">ToFloatArray</a> (const std::vector< PrimitiveType > &data, const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &tensorInfo)</td></tr> |
| <tr class="separator:a573c6170ca8451709e031b6243bc187d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a949e191038ae0bfd9a0597a7de353a27"><td class="memItemLeft" align="right" valign="top">std::unique_ptr< float[]> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a949e191038ae0bfd9a0597a7de353a27">ToFloatArray</a> (const std::vector< uint8_t > &data, const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &tensorInfo)</td></tr> |
| <tr class="separator:a949e191038ae0bfd9a0597a7de353a27"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a428a9a6ffdf0e8d723b50c038c56c336"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a428a9a6ffdf0e8d723b50c038c56c336">TransposeTensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &srcShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings)</td></tr> |
| <tr class="separator:a428a9a6ffdf0e8d723b50c038c56c336"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a49e3aa80e05abc7b4643aad600e8d827"><td class="memItemLeft" align="right" valign="top"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a49e3aa80e05abc7b4643aad600e8d827">TransposeTensorShape</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &info, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings)</td></tr> |
| <tr class="separator:a49e3aa80e05abc7b4643aad600e8d827"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a405d5f966ec992d1717711e5a2d7909d"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a405d5f966ec992d1717711e5a2d7909d">Transpose</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> &dstShape, const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> &mappings, const void *src, void *dst, size_t dataTypeSize)</td></tr> |
| <tr class="separator:a405d5f966ec992d1717711e5a2d7909d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:af75354033a8fe40804ef8c0fda1663a4"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:af75354033a8fe40804ef8c0fda1663a4"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#af75354033a8fe40804ef8c0fda1663a4">CompatibleTypes< float ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:af75354033a8fe40804ef8c0fda1663a4"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:acabe92532fe8b1e897a8f57045ee4708"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:acabe92532fe8b1e897a8f57045ee4708"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#acabe92532fe8b1e897a8f57045ee4708">CompatibleTypes< Half ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:acabe92532fe8b1e897a8f57045ee4708"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a6bb19e0cf0c632e27058a609f05a5d02"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a6bb19e0cf0c632e27058a609f05a5d02"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a6bb19e0cf0c632e27058a609f05a5d02">CompatibleTypes< BFloat16 ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:a6bb19e0cf0c632e27058a609f05a5d02"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a438e61647ca0873180d75c9f035b1611"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a438e61647ca0873180d75c9f035b1611"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a438e61647ca0873180d75c9f035b1611">CompatibleTypes< uint8_t ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:a438e61647ca0873180d75c9f035b1611"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ae6c6b22d4ce4b9aa733236f9cb92608e"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:ae6c6b22d4ce4b9aa733236f9cb92608e"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ae6c6b22d4ce4b9aa733236f9cb92608e">CompatibleTypes< int8_t ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:ae6c6b22d4ce4b9aa733236f9cb92608e"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a787be51827fb835b5c60be66e00ceaac"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a787be51827fb835b5c60be66e00ceaac"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a787be51827fb835b5c60be66e00ceaac">CompatibleTypes< int16_t ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:a787be51827fb835b5c60be66e00ceaac"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a0324d8bcec2695e460417fdd5823f914"><td class="memItemLeft" align="right" valign="top">template<> </td></tr> |
| <tr class="memitem:a0324d8bcec2695e460417fdd5823f914"><td class="memTemplItemLeft" align="right" valign="top">bool </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a0324d8bcec2695e460417fdd5823f914">CompatibleTypes< int32_t ></a> (<a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> dataType)</td></tr> |
| <tr class="separator:a0324d8bcec2695e460417fdd5823f914"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a662b45b5a4d48a01e967c0b28b6a552b">GraphTopologicalSort</a> (const TTargetNodes &targetNodes, std::function< std::vector< TNodeId >(TNodeId)> getIncomingEdges, std::vector< TNodeId > &outSorted)</td></tr> |
| <tr class="separator:a662b45b5a4d48a01e967c0b28b6a552b"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a158a68b143d2564fa1ca047646cf4185">SplitBy</a> (const std::string &originalString, const std::string &delimiter=" ", bool includeEmptyToken=false)</td></tr> |
| <tr class="memdesc:a158a68b143d2564fa1ca047646cf4185"><td class="mdescLeft"> </td><td class="mdescRight">Split a string into tokens by a delimiter. <a href="namespacearmnn_utils.html#a158a68b143d2564fa1ca047646cf4185">More...</a><br /></td></tr> |
| <tr class="separator:a158a68b143d2564fa1ca047646cf4185"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#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="namespacearmnn_utils.html#a14be0364a6fc0975d45e84737dfe21bc">More...</a><br /></td></tr> |
| <tr class="separator:a14be0364a6fc0975d45e84737dfe21bc"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a523deabeb7d0a884028b35eebfd1cb6c"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a523deabeb7d0a884028b35eebfd1cb6c">ProcessConcatInputTensorInfo</a> (<a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &inputTensorInfo, <a class="el" href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a> &concatDescriptor, const unsigned int &concatAxis, unsigned int inputIndex, unsigned int &mergeDimOrigin)</td></tr> |
| <tr class="separator:a523deabeb7d0a884028b35eebfd1cb6c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:aac34adc5b96d744ae53eac580213f855"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#aac34adc5b96d744ae53eac580213f855">CalculateReducedOutputTensoInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &inputTensorInfo, const std::set< unsigned int > &axisSet, bool keepDims, <a class="el" href="classarmnn_1_1_tensor_info.html">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="namespacearmnn_utils.html#aac34adc5b96d744ae53eac580213f855">More...</a><br /></td></tr> |
| <tr class="separator:aac34adc5b96d744ae53eac580213f855"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a9300450bab29bb951d6f8755b7d9d3a8"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a9300450bab29bb951d6f8755b7d9d3a8">CalculateStridedSliceOutputTensorInfo</a> (const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &inputTensorInfo, const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a> &desc, <a class="el" href="classarmnn_1_1_tensor_info.html">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="namespacearmnn_utils.html#a9300450bab29bb951d6f8755b7d9d3a8">More...</a><br /></td></tr> |
| <tr class="separator:a9300450bab29bb951d6f8755b7d9d3a8"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#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="namespacearmnn_utils.html#ab4a89c3d0ff243bdabae3e404248d04a">More...</a><br /></td></tr> |
| <tr class="separator:ab4a89c3d0ff243bdabae3e404248d04a"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a78f149bb07186307e19e00015a8d151c">ConvertTensorShapeToString</a> (const <a class="el" href="classarmnn_1_1_tensor_shape.html">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="namespacearmnn_utils.html#a78f149bb07186307e19e00015a8d151c">More...</a><br /></td></tr> |
| <tr class="separator:a78f149bb07186307e19e00015a8d151c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad5310a199d4969927169ed084b1f6c28"><td class="memTemplParams" colspan="2">template<typename TContainer > </td></tr> |
| <tr class="memitem:ad5310a199d4969927169ed084b1f6c28"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad5310a199d4969927169ed084b1f6c28">MakeInputTensors</a> (const std::vector< <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > &inputBindings, const std::vector< <a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> > &inputDataContainers)</td></tr> |
| <tr class="separator:ad5310a199d4969927169ed084b1f6c28"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:ad4efd5a7fa660df5246466d83517220d"><td class="memTemplParams" colspan="2">template<typename TContainer > </td></tr> |
| <tr class="memitem:ad4efd5a7fa660df5246466d83517220d"><td class="memTemplItemLeft" align="right" valign="top"><a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#ad4efd5a7fa660df5246466d83517220d">MakeOutputTensors</a> (const std::vector< <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > &outputBindings, std::vector< <a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> > &outputDataContainers)</td></tr> |
| <tr class="separator:ad4efd5a7fa660df5246466d83517220d"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a7e3caf713986e36cff3ba9d9e442366c"><td class="memTemplParams" colspan="2">template<typename PrimitiveType > </td></tr> |
| <tr class="memitem:a7e3caf713986e36cff3ba9d9e442366c"><td class="memTemplItemLeft" align="right" valign="top">void </td><td class="memTemplItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a> (const std::vector< PrimitiveType > &data, const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> &tensorInfo, unsigned int size=1)</td></tr> |
| <tr class="separator:a7e3caf713986e36cff3ba9d9e442366c"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a97dc68ae76f04b81c833184724836c9a"><td class="memItemLeft" align="right" valign="top">void </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#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.html">CheckLocation</a> &location)</td></tr> |
| <tr class="separator:a97dc68ae76f04b81c833184724836c9a"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#ab075020544612cd151ebdd08db537396">NonNegative</a> (const char *expr, int32_t value, const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> &location)</td></tr> |
| <tr class="separator:ab075020544612cd151ebdd08db537396"><td class="memSeparator" colspan="2"> </td></tr> |
| <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.html#a2e0aa273755368a1bf5fc65102df4a92">VerifyInt32</a> (const char *expr, int64_t value, const <a class="el" href="structarmnn_1_1_check_location.html">armnn::CheckLocation</a> &location)</td></tr> |
| <tr class="separator:a2e0aa273755368a1bf5fc65102df4a92"><td class="memSeparator" colspan="2"> </td></tr> |
| </table><table class="memberdecls"> |
| <tr class="heading"><td colspan="2"><h2 class="groupheader"><a name="var-members"></a> |
| 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.html">armnn::PermutationVector</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a12124184ac6aec018beb98b9715330c7">NHWCToArmNN</a> = { 0, 2, 3, 1 }</td></tr> |
| <tr class="separator:a12124184ac6aec018beb98b9715330c7"><td class="memSeparator" colspan="2"> </td></tr> |
| <tr class="memitem:a59cbccbfbae7633020d200f8c23fe69e"><td class="memItemLeft" align="right" valign="top">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> </td><td class="memItemRight" valign="bottom"><a class="el" href="namespacearmnn_utils.html#a59cbccbfbae7633020d200f8c23fe69e">ArmNNToNHWC</a> = { 0, 3, 1, 2 }</td></tr> |
| <tr class="separator:a59cbccbfbae7633020d200f8c23fe69e"><td class="memSeparator" colspan="2"> </td></tr> |
| </table> |
| <h2 class="groupheader">Typedef Documentation</h2> |
| <a id="ab175d8bf2482d5a39c2331d1f0ddcece"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab175d8bf2482d5a39c2331d1f0ddcece">◆ </a></span>LabelCategoryNames</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <a class="el" href="namespacearmnn_utils.html#ab175d8bf2482d5a39c2331d1f0ddcece">LabelCategoryNames</a> = std::vector<std::string></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8hpp_source.html#l00025">25</a> of file <a class="el" href="_model_accuracy_checker_8hpp_source.html">ModelAccuracyChecker.hpp</a>.</p> |
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| </div> |
| </div> |
| <a id="ac7bd4ea667375c07718086368507ed44"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac7bd4ea667375c07718086368507ed44">◆ </a></span>TContainer</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">using <a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> = mapbox::util::variant<std::vector<float>, std::vector<int>, std::vector<unsigned char>, std::vector<int8_t> ></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_t_container_8hpp_source.html#l00018">18</a> of file <a class="el" href="_t_container_8hpp_source.html">TContainer.hpp</a>.</p> |
| |
| </div> |
| </div> |
| <h2 class="groupheader">Function Documentation</h2> |
| <a id="aac34adc5b96d744ae53eac580213f855"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aac34adc5b96d744ae53eac580213f855">◆ </a></span>CalculateReducedOutputTensoInfo()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void CalculateReducedOutputTensoInfo </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>inputTensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const std::set< unsigned int > & </td> |
| <td class="paramname"><em>axisSet</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>keepDims</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>outputTensorInfo</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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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.html#l00052">52</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</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.html#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.html#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.html#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.html">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#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.html">armnn::TensorInfo</a>(outputTensorShape, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div> |
| <div class="line"><a name="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.html">armnn::TensorInfo</a>({size}, inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div> |
| <div class="line"><a name="l00099"></a><span class="lineno"> 99</span>  }</div> |
| <div class="line"><a name="l00100"></a><span class="lineno"> 100</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>.</p> |
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| </div> |
| </div> |
| <a id="a9300450bab29bb951d6f8755b7d9d3a8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9300450bab29bb951d6f8755b7d9d3a8">◆ </a></span>CalculateStridedSliceOutputTensorInfo()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">void CalculateStridedSliceOutputTensorInfo </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>inputTensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_strided_slice_descriptor.html">armnn::StridedSliceDescriptor</a> & </td> |
| <td class="paramname"><em>desc</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>outputTensorInfo</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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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.html#l00103">103</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</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.html">armnn::TensorShape</a>& inputShape = inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#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.html#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.html#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.html#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.html#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.html#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(<span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(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.html">armnn::TensorShape</a> outputTensorShape(inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#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.html">armnn::TensorInfo</a>(<a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a>(outputTensorShape), inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>());</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00392">StridedSliceDescriptor::GetStartForAxis()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00419">StridedSliceDescriptor::GetStopForAxis()</a>, <a class="el" href="_descriptors_8hpp_source.html#l01355">StridedSliceDescriptor::m_ShrinkAxisMask</a>, and <a class="el" href="_descriptors_8hpp_source.html#l01346">StridedSliceDescriptor::m_Stride</a>.</p> |
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| </div> |
| </div> |
| <a id="a7e3caf713986e36cff3ba9d9e442366c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a7e3caf713986e36cff3ba9d9e442366c">◆ </a></span>CheckSizes()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void armnnUtils::CheckSizes </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< PrimitiveType > & </td> |
| <td class="paramname"><em>data</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>size</em> = <code>1</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00296">296</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00297"></a><span class="lineno"> 297</span> {</div> |
| <div class="line"><a name="l00298"></a><span class="lineno"> 298</span>  <span class="keywordflow">if</span> (data.size() / size != tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>())</div> |
| <div class="line"><a name="l00299"></a><span class="lineno"> 299</span>  {</div> |
| <div class="line"><a name="l00300"></a><span class="lineno"> 300</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00301"></a><span class="lineno"> 301</span>  fmt::format(<span class="stringliteral">"The data does not contain the expected number of elements {} != {}. {}"</span>,</div> |
| <div class="line"><a name="l00302"></a><span class="lineno"> 302</span>  data.size(), tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div> |
| <div class="line"><a name="l00303"></a><span class="lineno"> 303</span>  }</div> |
| <div class="line"><a name="l00304"></a><span class="lineno"> 304</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetNumElements()</a>.</p> |
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| <p class="reference">Referenced by <a class="el" href="_tensor_utils_8cpp_source.html#l00307">ToFloatArray()</a>.</p> |
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| </div> |
| </div> |
| <a id="a97dc68ae76f04b81c833184724836c9a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a97dc68ae76f04b81c833184724836c9a">◆ </a></span>CheckValidSize()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">void CheckValidSize </td> |
| <td>(</td> |
| <td class="paramtype">std::initializer_list< size_t > </td> |
| <td class="paramname"><em>validInputCounts</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>actualValue</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>validExpr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>actualExpr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> & </td> |
| <td class="paramname"><em>location</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00016">16</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</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) { return 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.html">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.html#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> |
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| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p> |
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| </div> |
| </div> |
| <a id="afb0302d3269537af9680c698599deac5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afb0302d3269537af9680c698599deac5">◆ </a></span>CompatibleTypes()</h2> |
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| <div class="memitem"> |
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| <td class="memname">bool CompatibleTypes </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> </td> |
| <td class="paramname"></td><td>)</td> |
| <td></td> |
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| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00017">17</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</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>  <span class="keywordflow">return</span> <span class="keyword">false</span>;</div> |
| <div class="line"><a name="l00020"></a><span class="lineno"> 20</span> }</div> |
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| </div> |
| </div> |
| <a id="a6bb19e0cf0c632e27058a609f05a5d02"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a6bb19e0cf0c632e27058a609f05a5d02">◆ </a></span>CompatibleTypes< BFloat16 >()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
| <tr> |
| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< <a class="el" href="classarmnn_1_1_b_float16.html">BFloat16</a> > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00035">35</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">return</span> dataType == DataType::BFloat16;</div> |
| <div class="line"><a name="l00038"></a><span class="lineno"> 38</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6acdb56b2d2f73c26480207524f2dbe0af">armnn::BFloat16</a>.</p> |
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| </div> |
| </div> |
| <a id="af75354033a8fe40804ef8c0fda1663a4"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af75354033a8fe40804ef8c0fda1663a4">◆ </a></span>CompatibleTypes< float >()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
| <tr> |
| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< float > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00023">23</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</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">return</span> dataType == DataType::Float32;</div> |
| <div class="line"><a name="l00026"></a><span class="lineno"> 26</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a166495adc0d0f53bee6baecc577f5204">armnn::Float32</a>.</p> |
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| </div> |
| </div> |
| <a id="acabe92532fe8b1e897a8f57045ee4708"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#acabe92532fe8b1e897a8f57045ee4708">◆ </a></span>CompatibleTypes< Half >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< <a class="el" href="namespacearmnn.html#a0b49aa352b84d572942185ce72cef751">Half</a> > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00029">29</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</a>.</p> |
| <div class="fragment"><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">return</span> dataType == DataType::Float16;</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a26e6ed77470c6f2f830ecf874e6c0d55">armnn::Float16</a>.</p> |
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| </div> |
| </div> |
| <a id="a787be51827fb835b5c60be66e00ceaac"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a787be51827fb835b5c60be66e00ceaac">◆ </a></span>CompatibleTypes< int16_t >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< int16_t > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00054">54</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</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">return</span> dataType == DataType::QSymmS16;</div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a053c769dcf82d66ef326c86980c02ba7">armnn::QSymmS16</a>.</p> |
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| </div> |
| </div> |
| <a id="a0324d8bcec2695e460417fdd5823f914"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0324d8bcec2695e460417fdd5823f914">◆ </a></span>CompatibleTypes< int32_t >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< int32_t > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00060">60</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00061"></a><span class="lineno"> 61</span> {</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">return</span> dataType == DataType::Signed32;</div> |
| <div class="line"><a name="l00063"></a><span class="lineno"> 63</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>.</p> |
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| <a id="ae6c6b22d4ce4b9aa733236f9cb92608e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ae6c6b22d4ce4b9aa733236f9cb92608e">◆ </a></span>CompatibleTypes< int8_t >()</h2> |
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| <div class="memitem"> |
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| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< int8_t > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00047">47</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00048"></a><span class="lineno"> 48</span> {</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">return</span> dataType == DataType::QSymmS8</div> |
| <div class="line"><a name="l00050"></a><span class="lineno"> 50</span>  || dataType == DataType::QAsymmS8;</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>.</p> |
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| <a id="a438e61647ca0873180d75c9f035b1611"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a438e61647ca0873180d75c9f035b1611">◆ </a></span>CompatibleTypes< uint8_t >()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool <a class="el" href="namespacearmnn_utils.html#afb0302d3269537af9680c698599deac5">armnnUtils::CompatibleTypes</a>< uint8_t > </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">DataType</a> </td> |
| <td class="paramname"><em>dataType</em></td><td>)</td> |
| <td></td> |
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| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_compatible_types_8cpp_source.html#l00041">41</a> of file <a class="el" href="_compatible_types_8cpp_source.html">CompatibleTypes.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">return</span> dataType == DataType::Boolean || dataType == DataType::QAsymmU8;</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a27226c864bac7454a8504f8edb15d95b">armnn::Boolean</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>.</p> |
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| <a id="ab4a89c3d0ff243bdabae3e404248d04a"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab4a89c3d0ff243bdabae3e404248d04a">◆ </a></span>ConvertInt32ToOctalString()</h2> |
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| <td class="memname">std::string ConvertInt32ToOctalString </td> |
| <td>(</td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>value</em></td><td>)</td> |
| <td></td> |
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| <p>Converts an int value into the Prototxt octal representation. </p> |
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| <p class="definition">Definition at line <a class="el" href="_prototxt_conversions_8cpp_source.html#l00017">17</a> of file <a class="el" href="_prototxt_conversions_8cpp_source.html">PrototxtConversions.cpp</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(<span class="charliteral">'0'</span>) << 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> |
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| </div> |
| </div> |
| <a id="a78f149bb07186307e19e00015a8d151c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a78f149bb07186307e19e00015a8d151c">◆ </a></span>ConvertTensorShapeToString()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">std::string ConvertTensorShapeToString </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>shape</em></td><td>)</td> |
| <td></td> |
| </tr> |
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| </div><div class="memdoc"> |
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| <p>Converts an TensorShape into Prototxt representation. </p> |
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| <p class="definition">Definition at line <a class="el" href="_prototxt_conversions_8cpp_source.html#l00032">32</a> of file <a class="el" href="_prototxt_conversions_8cpp_source.html">PrototxtConversions.cpp</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.html#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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
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| </div> |
| </div> |
| <a id="a0d3b1be320610515e0cac8d745d9f8c2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0d3b1be320610515e0cac8d745d9f8c2">◆ </a></span>ExpandDims()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> ExpandDims </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>tensorShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int </td> |
| <td class="paramname"><em>axis</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00142">142</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00143"></a><span class="lineno"> 143</span> {</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outputDim = tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() + 1;</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  </div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</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.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()))</div> |
| <div class="line"><a name="l00147"></a><span class="lineno"> 147</span>  {</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(fmt::format(<span class="stringliteral">"Invalid expansion axis {} for {}D input tensor. {}"</span>,</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  axis,</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(),</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  }</div> |
| <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="keywordflow">if</span> (axis < 0)</div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  {</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  axis = armnn::numeric_cast<int>(outputDim) + axis;</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>  </div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  std::vector<unsigned int> outputShape;</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  outputShape.reserve(tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>());</div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</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.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span>  {</div> |
| <div class="line"><a name="l00163"></a><span class="lineno"> 163</span>  outputShape.push_back(tensorShape[i]);</div> |
| <div class="line"><a name="l00164"></a><span class="lineno"> 164</span>  }</div> |
| <div class="line"><a name="l00165"></a><span class="lineno"> 165</span>  outputShape.insert(outputShape.begin() + axis, 1);</div> |
| <div class="line"><a name="l00166"></a><span class="lineno"> 166</span>  </div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  <span class="keywordflow">return</span> { outputDim, outputShape.data() };</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, and <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
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| </div> |
| </div> |
| <a id="a9ef6d3649c5d3aa16a9839e3e2ad659b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a9ef6d3649c5d3aa16a9839e3e2ad659b">◆ </a></span>ExpandDimsToRank()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> ExpandDimsToRank </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>tensorShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>rank</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00170">170</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00171"></a><span class="lineno"> 171</span> {</div> |
| <div class="line"><a name="l00172"></a><span class="lineno"> 172</span>  <span class="comment">// Can't expand if rank is smaller than current shape</span></div> |
| <div class="line"><a name="l00173"></a><span class="lineno"> 173</span>  <span class="keywordflow">if</span> (tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() >= rank)</div> |
| <div class="line"><a name="l00174"></a><span class="lineno"> 174</span>  {</div> |
| <div class="line"><a name="l00175"></a><span class="lineno"> 175</span>  <span class="keywordflow">return</span> tensorShape;</div> |
| <div class="line"><a name="l00176"></a><span class="lineno"> 176</span>  }</div> |
| <div class="line"><a name="l00177"></a><span class="lineno"> 177</span>  </div> |
| <div class="line"><a name="l00178"></a><span class="lineno"> 178</span>  std::vector<unsigned int> newShape;</div> |
| <div class="line"><a name="l00179"></a><span class="lineno"> 179</span>  </div> |
| <div class="line"><a name="l00180"></a><span class="lineno"> 180</span>  <span class="comment">// First add 1s to the beginning of the tensorInfo to fill in the space</span></div> |
| <div class="line"><a name="l00181"></a><span class="lineno"> 181</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < rank - tensorShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div> |
| <div class="line"><a name="l00182"></a><span class="lineno"> 182</span>  {</div> |
| <div class="line"><a name="l00183"></a><span class="lineno"> 183</span>  newShape.push_back(1);</div> |
| <div class="line"><a name="l00184"></a><span class="lineno"> 184</span>  }</div> |
| <div class="line"><a name="l00185"></a><span class="lineno"> 185</span>  </div> |
| <div class="line"><a name="l00186"></a><span class="lineno"> 186</span>  <span class="comment">// Then iterate through the original shape and append it to the new shape with the added 1s</span></div> |
| <div class="line"><a name="l00187"></a><span class="lineno"> 187</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.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div> |
| <div class="line"><a name="l00188"></a><span class="lineno"> 188</span>  {</div> |
| <div class="line"><a name="l00189"></a><span class="lineno"> 189</span>  newShape.push_back(tensorShape[i]);</div> |
| <div class="line"><a name="l00190"></a><span class="lineno"> 190</span>  }</div> |
| <div class="line"><a name="l00191"></a><span class="lineno"> 191</span>  </div> |
| <div class="line"><a name="l00192"></a><span class="lineno"> 192</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(<span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(newShape.size()), newShape.data());</div> |
| <div class="line"><a name="l00193"></a><span class="lineno"> 193</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
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| </div> |
| </div> |
| <a id="a1c9097ab13afc54b48c503c6487aaee1"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1c9097ab13afc54b48c503c6487aaee1">◆ </a></span>FindMinMax()</h2> |
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| <div class="memitem"> |
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| <td class="memname">std::pair< float, float > FindMinMax </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_i_tensor_handle.html">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.html#l00081">81</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00082"></a><span class="lineno"> 82</span> {</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</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.html#a9afbc055a017adf1bc38ee137bca6e90">Map</a>(<span class="keyword">true</span>));</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  <span class="keyword">auto</span> tensor_size = tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">GetShape</a>().<a class="code" href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>();</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  </div> |
| <div class="line"><a name="l00086"></a><span class="lineno"> 86</span>  <span class="comment">// Set min/max initially to first value in tensor</span></div> |
| <div class="line"><a name="l00087"></a><span class="lineno"> 87</span>  <span class="keywordtype">float</span> min = tensor_data[0];</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordtype">float</span> max = tensor_data[0];</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>  <span class="comment">// Loop over rest of tensor and update min/max if necessary</span></div> |
| <div class="line"><a name="l00091"></a><span class="lineno"> 91</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="l00092"></a><span class="lineno"> 92</span>  {</div> |
| <div class="line"><a name="l00093"></a><span class="lineno"> 93</span>  <span class="keywordflow">if</span> (tensor_data[val] < min)</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span>  {</div> |
| <div class="line"><a name="l00095"></a><span class="lineno"> 95</span>  min = tensor_data[val];</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">else</span> <span class="keywordflow">if</span> (tensor_data[val] > max)</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>  max = tensor_data[val];</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>  </div> |
| <div class="line"><a name="l00103"></a><span class="lineno"> 103</span>  tensorHandle-><a class="code" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">Unmap</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">return</span> std::make_pair(min, max);</div> |
| <div class="line"><a name="l00106"></a><span class="lineno"> 106</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00181">TensorShape::GetNumElements()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">ITensorHandle::GetShape()</a>, <a class="el" href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">ITensorHandle::Map()</a>, and <a class="el" href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">ITensorHandle::Unmap()</a>.</p> |
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| <a id="a276aac5f7a8bdc3db4f62203870ca13b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a276aac5f7a8bdc3db4f62203870ca13b">◆ </a></span>GetNumElementsAfter()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">unsigned int GetNumElementsAfter </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>axis</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00261">261</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00262"></a><span class="lineno"> 262</span> {</div> |
| <div class="line"><a name="l00263"></a><span class="lineno"> 263</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> numDim = shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>();</div> |
| <div class="line"><a name="l00264"></a><span class="lineno"> 264</span>  <span class="keywordflow">if</span> (axis >= numDim)</div> |
| <div class="line"><a name="l00265"></a><span class="lineno"> 265</span>  {</div> |
| <div class="line"><a name="l00266"></a><span class="lineno"> 266</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00267"></a><span class="lineno"> 267</span>  <span class="stringliteral">"{}: axis index [{}D] indexes beyond the number of dimesions of the tensor shape [{}D]"</span>,</div> |
| <div class="line"><a name="l00268"></a><span class="lineno"> 268</span>  <span class="stringliteral">"GetNumElementsAfter"</span>,</div> |
| <div class="line"><a name="l00269"></a><span class="lineno"> 269</span>  axis,</div> |
| <div class="line"><a name="l00270"></a><span class="lineno"> 270</span>  numDim));</div> |
| <div class="line"><a name="l00271"></a><span class="lineno"> 271</span>  }</div> |
| <div class="line"><a name="l00272"></a><span class="lineno"> 272</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div> |
| <div class="line"><a name="l00273"></a><span class="lineno"> 273</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = axis+1; i < numDim; i++)</div> |
| <div class="line"><a name="l00274"></a><span class="lineno"> 274</span>  {</div> |
| <div class="line"><a name="l00275"></a><span class="lineno"> 275</span>  count *= shape[i];</div> |
| <div class="line"><a name="l00276"></a><span class="lineno"> 276</span>  }</div> |
| <div class="line"><a name="l00277"></a><span class="lineno"> 277</span>  <span class="keywordflow">return</span> count;</div> |
| <div class="line"><a name="l00278"></a><span class="lineno"> 278</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_tensor_utils_8cpp_source.html#l00280">GetPerAxisParams()</a>, <a class="el" href="_base_iterator_8hpp_source.html#l00722">PerAxisIterator< const int8_t, Decoder< float > >::PerAxisIterator()</a>, and <a class="el" href="_tensor_utils_8cpp_source.html#l00307">ToFloatArray()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="af57864f5e03358d14c2988edae912b8b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af57864f5e03358d14c2988edae912b8b">◆ </a></span>GetNumElementsBetween()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">unsigned int GetNumElementsBetween </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>shape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>firstAxisInclusive</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>lastAxisExclusive</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00209">209</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00212"></a><span class="lineno"> 212</span> {</div> |
| <div class="line"><a name="l00213"></a><span class="lineno"> 213</span>  <span class="keywordflow">if</span> (firstAxisInclusive > lastAxisExclusive)</div> |
| <div class="line"><a name="l00214"></a><span class="lineno"> 214</span>  {</div> |
| <div class="line"><a name="l00215"></a><span class="lineno"> 215</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00216"></a><span class="lineno"> 216</span>  <span class="stringliteral">"GetNumElementsBetween: firstAxisInclusive [{}D] is greater than lastAxisExclusive [{}D]"</span>,</div> |
| <div class="line"><a name="l00217"></a><span class="lineno"> 217</span>  firstAxisInclusive,</div> |
| <div class="line"><a name="l00218"></a><span class="lineno"> 218</span>  lastAxisExclusive));</div> |
| <div class="line"><a name="l00219"></a><span class="lineno"> 219</span>  }</div> |
| <div class="line"><a name="l00220"></a><span class="lineno"> 220</span>  <span class="keywordflow">if</span> (lastAxisExclusive > shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>())</div> |
| <div class="line"><a name="l00221"></a><span class="lineno"> 221</span>  {</div> |
| <div class="line"><a name="l00222"></a><span class="lineno"> 222</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00223"></a><span class="lineno"> 223</span>  <span class="stringliteral">"{}: lastAxisExclusive [{}D] is greater than the number of dimensions of the tensor shape [{}D]"</span></div> |
| <div class="line"><a name="l00224"></a><span class="lineno"> 224</span>  <span class="stringliteral">"GetNumElementsBetween"</span>,</div> |
| <div class="line"><a name="l00225"></a><span class="lineno"> 225</span>  lastAxisExclusive,</div> |
| <div class="line"><a name="l00226"></a><span class="lineno"> 226</span>  shape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>()));</div> |
| <div class="line"><a name="l00227"></a><span class="lineno"> 227</span>  }</div> |
| <div class="line"><a name="l00228"></a><span class="lineno"> 228</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> count = 1;</div> |
| <div class="line"><a name="l00229"></a><span class="lineno"> 229</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="l00230"></a><span class="lineno"> 230</span>  {</div> |
| <div class="line"><a name="l00231"></a><span class="lineno"> 231</span>  count *= shape[i];</div> |
| <div class="line"><a name="l00232"></a><span class="lineno"> 232</span>  }</div> |
| <div class="line"><a name="l00233"></a><span class="lineno"> 233</span>  <span class="keywordflow">return</span> count;</div> |
| <div class="line"><a name="l00234"></a><span class="lineno"> 234</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.html#l00017">armnn::ArgMinMax()</a>, <a class="el" href="_log_softmax_8cpp_source.html#l00029">armnn::LogSoftmax()</a>, and <a class="el" href="_softmax_8cpp_source.html#l00017">armnn::Softmax()</a>.</p> |
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| </div> |
| </div> |
| <a id="a1826e433f7e6817976a8175b4ef8296c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a1826e433f7e6817976a8175b4ef8296c">◆ </a></span>GetPerAxisParams()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
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| <td class="memname">std::pair< unsigned int, std::vector< float > > GetPerAxisParams </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>info</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00280">280</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00281"></a><span class="lineno"> 281</span> {</div> |
| <div class="line"><a name="l00282"></a><span class="lineno"> 282</span>  <span class="keyword">const</span> std::vector<float>& scales = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationScales();</div> |
| <div class="line"><a name="l00283"></a><span class="lineno"> 283</span>  <a class="code" href="classarmnn_1_1_optional.html">armnn::Optional<unsigned int></a> quantizationDim = <a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationDim();</div> |
| <div class="line"><a name="l00284"></a><span class="lineno"> 284</span>  <span class="keywordflow">if</span> (!<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.HasPerAxisQuantization())</div> |
| <div class="line"><a name="l00285"></a><span class="lineno"> 285</span>  {</div> |
| <div class="line"><a name="l00286"></a><span class="lineno"> 286</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00287"></a><span class="lineno"> 287</span>  std::string(<span class="stringliteral">"Per-axis quantization params not set for tensor of type "</span>) +</div> |
| <div class="line"><a name="l00288"></a><span class="lineno"> 288</span>  <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetDataType()), <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</div> |
| <div class="line"><a name="l00289"></a><span class="lineno"> 289</span>  }</div> |
| <div class="line"><a name="l00290"></a><span class="lineno"> 290</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axisFactor = <a class="code" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">GetNumElementsAfter</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape(), quantizationDim.<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>()) ;</div> |
| <div class="line"><a name="l00291"></a><span class="lineno"> 291</span>  </div> |
| <div class="line"><a name="l00292"></a><span class="lineno"> 292</span>  <span class="keywordflow">return</span> { axisFactor, scales };</div> |
| <div class="line"><a name="l00293"></a><span class="lineno"> 293</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_types_utils_8hpp_source.html#l00233">armnn::GetDataTypeName()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00261">GetNumElementsAfter()</a>, <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< IsReference, T >::value()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_decoders_8hpp_source.html#l00064">armnn::MakeDecoder()</a>, and <a class="el" href="_encoders_8hpp_source.html#l00019">armnn::MakeEncoder()</a>.</p> |
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| </div> |
| </div> |
| <a id="aee5883b056e03a22db41b7b471fb598e"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#aee5883b056e03a22db41b7b471fb598e">◆ </a></span>GetTensorInfo() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> GetTensorInfo </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfBatches</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfChannels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>depth</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td> |
| <td class="paramname"><em>dataLayout</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> </td> |
| <td class="paramname"><em>dataType</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00060">60</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">switch</span> (dataLayout)</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">case</span> DataLayout::NDHWC:</div> |
| <div class="line"><a name="l00071"></a><span class="lineno"> 71</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, depth, height, width, numberOfChannels}, dataType);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keywordflow">case</span> DataLayout::NCDHW:</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, numberOfChannels, depth, height, width}, dataType);</div> |
| <div class="line"><a name="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00075"></a><span class="lineno"> 75</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Unknown data layout ["</span></div> |
| <div class="line"><a name="l00076"></a><span class="lineno"> 76</span>  + std::to_string(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(dataLayout)) +</div> |
| <div class="line"><a name="l00077"></a><span class="lineno"> 77</span>  <span class="stringliteral">"]"</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a884e0167ebf9bbe6cfd6ca5ab97ab015">armnn::NCDHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a4dd0194b114cbf51da5b3a72569863ef">armnn::NDHWC</a>.</p> |
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| </div> |
| </div> |
| <a id="acee63cd08da47910fc166a1990988fa8"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#acee63cd08da47910fc166a1990988fa8">◆ </a></span>GetTensorInfo() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> GetTensorInfo </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfBatches</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfChannels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td> |
| <td class="paramname"><em>dataLayout</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6">armnn::DataType</a> </td> |
| <td class="paramname"><em>dataType</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00040">40</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><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">switch</span> (dataLayout)</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  {</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">case</span> DataLayout::NCHW:</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.html">TensorInfo</a>({numberOfBatches, numberOfChannels, height, width}, dataType);</div> |
| <div class="line"><a name="l00051"></a><span class="lineno"> 51</span>  <span class="keywordflow">case</span> DataLayout::NHWC:</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a>({numberOfBatches, height, width, numberOfChannels}, dataType);</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Unknown data layout ["</span></div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  + std::to_string(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(dataLayout)) +</div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="stringliteral">"]"</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> |
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| </div> |
| <a id="ab53d94ea22b51c6bcdf9584644bd67bb"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab53d94ea22b51c6bcdf9584644bd67bb">◆ </a></span>GetTensorShape()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> GetTensorShape </td> |
| <td>(</td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfBatches</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>numberOfChannels</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>height</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>width</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> </td> |
| <td class="paramname"><em>dataLayout</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00021">21</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><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">switch</span> (dataLayout)</div> |
| <div class="line"><a name="l00028"></a><span class="lineno"> 28</span>  {</div> |
| <div class="line"><a name="l00029"></a><span class="lineno"> 29</span>  <span class="keywordflow">case</span> DataLayout::NCHW:</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.html">TensorShape</a>({numberOfBatches, numberOfChannels, height, width});</div> |
| <div class="line"><a name="l00031"></a><span class="lineno"> 31</span>  <span class="keywordflow">case</span> DataLayout::NHWC:</div> |
| <div class="line"><a name="l00032"></a><span class="lineno"> 32</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>({numberOfBatches, height, width, numberOfChannels});</div> |
| <div class="line"><a name="l00033"></a><span class="lineno"> 33</span>  <span class="keywordflow">default</span>:</div> |
| <div class="line"><a name="l00034"></a><span class="lineno"> 34</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(<span class="stringliteral">"Unknown data layout ["</span></div> |
| <div class="line"><a name="l00035"></a><span class="lineno"> 35</span>  + std::to_string(<span class="keyword">static_cast<</span><span class="keywordtype">int</span><span class="keyword">></span>(dataLayout)) +</div> |
| <div class="line"><a name="l00036"></a><span class="lineno"> 36</span>  <span class="stringliteral">"]"</span>, <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>());</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> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0a6b99f356fe3b30a2a850b5ea897c289f">armnn::NCHW</a>, and <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0ad066db54b89b0912e7e7c6da51e2da51">armnn::NHWC</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ac93cb1365b4bcb67df2a3164606096c5"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac93cb1365b4bcb67df2a3164606096c5">◆ </a></span>GetUnsignedAxis()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">unsigned int GetUnsignedAxis </td> |
| <td>(</td> |
| <td class="paramtype">const unsigned int </td> |
| <td class="paramname"><em>inputDimension</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const int </td> |
| <td class="paramname"><em>axis</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00236">236</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00237"></a><span class="lineno"> 237</span> {</div> |
| <div class="line"><a name="l00238"></a><span class="lineno"> 238</span>  <span class="keywordflow">if</span> (axis >= armnn::numeric_cast<int>(inputDimension))</div> |
| <div class="line"><a name="l00239"></a><span class="lineno"> 239</span>  {</div> |
| <div class="line"><a name="l00240"></a><span class="lineno"> 240</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00241"></a><span class="lineno"> 241</span>  <span class="stringliteral">"{}: axis index [{}] is not less than the number of dimensions [{}D]"</span>,</div> |
| <div class="line"><a name="l00242"></a><span class="lineno"> 242</span>  <span class="stringliteral">"GetUnsignedAxis"</span>,</div> |
| <div class="line"><a name="l00243"></a><span class="lineno"> 243</span>  axis,</div> |
| <div class="line"><a name="l00244"></a><span class="lineno"> 244</span>  inputDimension));</div> |
| <div class="line"><a name="l00245"></a><span class="lineno"> 245</span>  }</div> |
| <div class="line"><a name="l00246"></a><span class="lineno"> 246</span>  <span class="keywordflow">if</span> (axis < -armnn::numeric_cast<int>(inputDimension))</div> |
| <div class="line"><a name="l00247"></a><span class="lineno"> 247</span>  {</div> |
| <div class="line"><a name="l00248"></a><span class="lineno"> 248</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(fmt::format(</div> |
| <div class="line"><a name="l00249"></a><span class="lineno"> 249</span>  <span class="stringliteral">"{}: axis index [{}] lower than the negative of the number of dimensions [{}]"</span>,</div> |
| <div class="line"><a name="l00250"></a><span class="lineno"> 250</span>  <span class="stringliteral">"GetUnsignedAxis"</span>,</div> |
| <div class="line"><a name="l00251"></a><span class="lineno"> 251</span>  axis,</div> |
| <div class="line"><a name="l00252"></a><span class="lineno"> 252</span>  -armnn::numeric_cast<int>(inputDimension)));</div> |
| <div class="line"><a name="l00253"></a><span class="lineno"> 253</span>  }</div> |
| <div class="line"><a name="l00254"></a><span class="lineno"> 254</span>  </div> |
| <div class="line"><a name="l00255"></a><span class="lineno"> 255</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> uAxis = axis < 0 ?</div> |
| <div class="line"><a name="l00256"></a><span class="lineno"> 256</span>  inputDimension - armnn::numeric_cast<unsigned int>(<a class="code" href="structarmnn_1_1abs.html">abs</a>(axis))</div> |
| <div class="line"><a name="l00257"></a><span class="lineno"> 257</span>  : <a class="code" href="namespacearmnn.html">armnn</a>::<a class="code" href="namespacearmnn.html#a375ca3cff9f1b005d1412dc5f3cf5b6e">numeric_cast</a><unsigned int>(axis);</div> |
| <div class="line"><a name="l00258"></a><span class="lineno"> 258</span>  <span class="keywordflow">return</span> uAxis;</div> |
| <div class="line"><a name="l00259"></a><span class="lineno"> 259</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_arg_min_max_8cpp_source.html#l00017">armnn::ArgMinMax()</a>, <a class="el" href="_cl_arg_min_max_workload_8cpp_source.html#l00055">ClArgMinMaxWorkload::ClArgMinMaxWorkload()</a>, <a class="el" href="_arm_compute_utils_8hpp_source.html#l00246">armnn::ComputeSplitAxis()</a>, <a class="el" href="_arg_min_max_layer_8cpp_source.html#l00037">ArgMinMaxLayer::InferOutputShapes()</a>, <a class="el" href="_neon_arg_min_max_workload_8cpp_source.html#l00055">NeonArgMinMaxWorkload::NeonArgMinMaxWorkload()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l00628">ArgMinMaxQueueDescriptor::Validate()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a662b45b5a4d48a01e967c0b28b6a552b"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a662b45b5a4d48a01e967c0b28b6a552b">◆ </a></span>GraphTopologicalSort()</h2> |
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| <div class="memitem"> |
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| <table class="memname"> |
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| <td class="memname">bool armnnUtils::GraphTopologicalSort </td> |
| <td>(</td> |
| <td class="paramtype">const TTargetNodes & </td> |
| <td class="paramname"><em>targetNodes</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">std::function< std::vector< TNodeId >(TNodeId)> </td> |
| <td class="paramname"><em>getIncomingEdges</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">std::vector< TNodeId > & </td> |
| <td class="paramname"><em>outSorted</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_graph_topological_sort_8hpp_source.html#l00110">110</a> of file <a class="el" href="_graph_topological_sort_8hpp_source.html">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 --> |
| </div> |
| </div> |
| <a id="ad5310a199d4969927169ed084b1f6c28"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad5310a199d4969927169ed084b1f6c28">◆ </a></span>MakeInputTensors()</h2> |
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| <div class="memitem"> |
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| <td class="memname"><a class="el" href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a> armnnUtils::MakeInputTensors </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td> |
| <td class="paramname"><em>inputBindings</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const std::vector< <a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> > & </td> |
| <td class="paramname"><em>inputDataContainers</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </td> |
| <td class="mlabels-right"> |
| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.html#l00017">17</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.html">TensorIOUtils.hpp</a>.</p> |
| <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.html#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.html">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.html#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="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">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>  throw armnn::Exception(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>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> inputTensorInfo = inputBinding.second;</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  inputTensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">SetConstant</a>(<span class="keyword">true</span>);</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <a class="code" href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a> inputTensor(inputTensorInfo, value.data());</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  inputTensors.push_back(std::make_pair(inputBinding.first, inputTensor));</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  },</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  inputData);</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>  </div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  <span class="keywordflow">return</span> inputTensors;</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00514">TensorInfo::SetConstant()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ad4efd5a7fa660df5246466d83517220d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad4efd5a7fa660df5246466d83517220d">◆ </a></span>MakeOutputTensors()</h2> |
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| <div class="memitem"> |
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| <table class="mlabels"> |
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| <td class="memname"><a class="el" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> armnnUtils::MakeOutputTensors </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< <a class="el" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a> > & </td> |
| <td class="paramname"><em>outputBindings</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">std::vector< <a class="el" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a> > & </td> |
| <td class="paramname"><em>outputDataContainers</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| </td> |
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| <span class="mlabels"><span class="mlabel">inline</span></span> </td> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_i_o_utils_8hpp_source.html#l00056">56</a> of file <a class="el" href="_tensor_i_o_utils_8hpp_source.html">TensorIOUtils.hpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00058"></a><span class="lineno"> 58</span> {</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  <a class="code" href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a> outputTensors;</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="keyword">const</span> <span class="keywordtype">size_t</span> numOutputs = outputBindings.size();</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span>  <span class="keywordflow">if</span> (numOutputs != outputDataContainers.size())</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">throw</span> <a class="code" href="classarmnn_1_1_exception.html">armnn::Exception</a>(fmt::format(<span class="stringliteral">"Number of outputs does not match number"</span></div> |
| <div class="line"><a name="l00065"></a><span class="lineno"> 65</span>  <span class="stringliteral">"of tensor data containers: {0} != {1}"</span>,</div> |
| <div class="line"><a name="l00066"></a><span class="lineno"> 66</span>  numOutputs,</div> |
| <div class="line"><a name="l00067"></a><span class="lineno"> 67</span>  outputDataContainers.size()));</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>  </div> |
| <div class="line"><a name="l00070"></a><span class="lineno"> 70</span>  <span class="keywordflow">for</span> (<span class="keywordtype">size_t</span> i = 0; i < numOutputs; i++)</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="keyword">const</span> <a class="code" href="namespacearmnn.html#a280670a263dc4fd40491f6d0a2737f44">armnn::BindingPointInfo</a>& outputBinding = outputBindings[i];</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</span>  <a class="code" href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">TContainer</a>& outputData = outputDataContainers[i];</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>  mapbox::util::apply_visitor([&](<span class="keyword">auto</span>&& value)</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> (value.size() != outputBinding.second.GetNumElements())</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>  throw armnn::Exception(<span class="stringliteral">"Output tensor has incorrect size"</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>  </div> |
| <div class="line"><a name="l00082"></a><span class="lineno"> 82</span>  <a class="code" href="classarmnn_1_1_tensor.html">armnn::Tensor</a> outputTensor(outputBinding.second, value.data());</div> |
| <div class="line"><a name="l00083"></a><span class="lineno"> 83</span>  outputTensors.push_back(std::make_pair(outputBinding.first, outputTensor));</div> |
| <div class="line"><a name="l00084"></a><span class="lineno"> 84</span>  },</div> |
| <div class="line"><a name="l00085"></a><span class="lineno"> 85</span>  outputData);</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>  </div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span>  <span class="keywordflow">return</span> outputTensors;</div> |
| <div class="line"><a name="l00089"></a><span class="lineno"> 89</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ab075020544612cd151ebdd08db537396"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ab075020544612cd151ebdd08db537396">◆ </a></span>NonNegative()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">uint32_t NonNegative </td> |
| <td>(</td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>expr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>value</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">CheckLocation</a> & </td> |
| <td class="paramname"><em>location</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00035">35</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</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.html">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.html#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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a49ba5984d8cde4299d8ef15c9e556587"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a49ba5984d8cde4299d8ef15c9e556587">◆ </a></span>operator==() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool operator== </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> |
| <td class="paramname"><em>dataLayout</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> & </td> |
| <td class="paramname"><em>indexed</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Equality methods. </p> |
| |
| <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.html#l00046">46</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a>.</p> |
| <div class="fragment"><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> dataLayout == indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>();</div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a0448088ed94f810bd2464f3afd1859f0"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a0448088ed94f810bd2464f3afd1859f0">◆ </a></span>operator==() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">bool operator== </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a> & </td> |
| <td class="paramname"><em>indexed</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="namespacearmnn.html#ad1d5cce2d9e9a5d61c243e5c989112e0">armnn::DataLayout</a> & </td> |
| <td class="paramname"><em>dataLayout</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8cpp_source.html#l00051">51</a> of file <a class="el" href="_data_layout_indexed_8cpp_source.html">DataLayoutIndexed.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00052"></a><span class="lineno"> 52</span> {</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  <span class="keywordflow">return</span> indexed.<a class="code" href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">GetDataLayout</a>() == dataLayout;</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed::GetDataLayout()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="af3c74017185773dd61d8ca6662d65d43"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af3c74017185773dd61d8ca6662d65d43">◆ </a></span>Permute()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void Permute </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>dstShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const void * </td> |
| <td class="paramname"><em>src</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">void * </td> |
| <td class="paramname"><em>dst</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>dataTypeSize</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00164">164</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00166"></a><span class="lineno"> 166</span> {</div> |
| <div class="line"><a name="l00167"></a><span class="lineno"> 167</span>  PermuteLoop(dstShape, mappings).Unroll(src, dst, dataTypeSize);</div> |
| <div class="line"><a name="l00168"></a><span class="lineno"> 168</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_onnx_parser_8cpp_source.html#l00602">armnnOnnxParser::CreateConstTensorImpl()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00020">PermuteLayer::PermuteLayer()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00018">armnn::PermuteTensor()</a>, and <a class="el" href="_canonical_utils_8cpp_source.html#l00040">armnn_driver::SwizzleAndroidNn4dTensorToArmNn()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a2ba6f6f40c7382b61b00ac02f961ba22"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2ba6f6f40c7382b61b00ac02f961ba22">◆ </a></span>Permuted() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> Permuted </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00148">148</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00150"></a><span class="lineno"> 150</span> {</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outInfo(info);</div> |
| <div class="line"><a name="l00152"></a><span class="lineno"> 152</span>  outInfo.SetShape(<a class="code" href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">Permuted</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape(), mappings));</div> |
| <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="comment">// If TensorInfo has Per-Axis Quantization then it also has a QuantizationDim which needs to</span></div> |
| <div class="line"><a name="l00155"></a><span class="lineno"> 155</span>  <span class="comment">// be permuted according to the mapping</span></div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  <span class="keywordflow">if</span> (<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationDim().has_value())</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>  outInfo.SetQuantizationDim(mappings[<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetQuantizationDim().value()]);</div> |
| <div class="line"><a name="l00159"></a><span class="lineno"> 159</span>  }</div> |
| <div class="line"><a name="l00160"></a><span class="lineno"> 160</span>  </div> |
| <div class="line"><a name="l00161"></a><span class="lineno"> 161</span>  <span class="keywordflow">return</span> outInfo;</div> |
| <div class="line"><a name="l00162"></a><span class="lineno"> 162</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_permute_8cpp_source.html#l00125">Permuted()</a>, <a class="el" href="_tensor_8cpp_source.html#l00499">TensorInfo::SetQuantizationDim()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>.</p> |
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| </div> |
| </div> |
| <a id="abeaf4f6785039866fd075f4569ba8e84"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#abeaf4f6785039866fd075f4569ba8e84">◆ </a></span>Permuted() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> Permuted </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>srcShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_permute_8cpp_source.html#l00125">125</a> of file <a class="el" href="_permute_8cpp_source.html">Permute.cpp</a>.</p> |
| <div class="fragment"><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">if</span> (srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>())</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  {</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  std::stringstream msg;</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  msg << <span class="stringliteral">"Permute: Number of shape dimensions ("</span> << srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() <<</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="stringliteral">") does not match the size of the mappings ("</span> << mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>() << <span class="stringliteral">")"</span>;</div> |
| <div class="line"><a name="l00133"></a><span class="lineno"> 133</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(msg.str());</div> |
| <div class="line"><a name="l00134"></a><span class="lineno"> 134</span>  }</div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</span>  </div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</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.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>();</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDims[<a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a>];</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  </div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</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="l00140"></a><span class="lineno"> 140</span>  {</div> |
| <div class="line"><a name="l00141"></a><span class="lineno"> 141</span>  outDims[mappings[i]] = srcShape[i];</div> |
| <div class="line"><a name="l00142"></a><span class="lineno"> 142</span>  }</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  </div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> permutedShape(numDims, outDims);</div> |
| <div class="line"><a name="l00145"></a><span class="lineno"> 145</span>  <span class="keywordflow">return</span> permutedShape;</div> |
| <div class="line"><a name="l00146"></a><span class="lineno"> 146</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_types_8hpp_source.html#l00357">PermutationVector::GetSize()</a>, and <a class="el" href="_types_8hpp_source.html#l00031">armnn::MaxNumOfTensorDimensions</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_workload_utils_8cpp_source.html#l00176">armnn::Convert1HWOTensorInfoToAcl()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00121">armnn::ConvertWeightTensorInfoFromArmnnToAcl()</a>, <a class="el" href="_onnx_parser_8cpp_source.html#l00602">armnnOnnxParser::CreateConstTensorImpl()</a>, <a class="el" href="_batch_mat_mul_layer_8cpp_source.html#l00033">BatchMatMulLayer::InferOutputShapes()</a>, <a class="el" href="_permute_layer_8cpp_source.html#l00038">PermuteLayer::InferOutputShapes()</a>, <a class="el" href="_permute_8cpp_source.html#l00148">Permuted()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00018">armnn::PermuteTensor()</a>, <a class="el" href="_move_permute_up_8hpp_source.html#l00023">MovePermuteUpImpl::Run()</a>, <a class="el" href="_canonical_utils_8cpp_source.html#l00040">armnn_driver::SwizzleAndroidNn4dTensorToArmNn()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l04173">BatchMatMulQueueDescriptor::Validate()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a523deabeb7d0a884028b35eebfd1cb6c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a523deabeb7d0a884028b35eebfd1cb6c">◆ </a></span>ProcessConcatInputTensorInfo()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void ProcessConcatInputTensorInfo </td> |
| <td>(</td> |
| <td class="paramtype"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>inputTensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype"><a class="el" href="structarmnn_1_1_origins_descriptor.html">armnn::OriginsDescriptor</a> & </td> |
| <td class="paramname"><em>concatDescriptor</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const unsigned int & </td> |
| <td class="paramname"><em>concatAxis</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>inputIndex</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int & </td> |
| <td class="paramname"><em>mergeDimOrigin</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00019">19</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p> |
| <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.html#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.html#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.html">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.html#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.html#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.html#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.html#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.html#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.html#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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_tensor_8hpp_source.html#l00197">TensorInfo::GetNumDimensions()</a>, <a class="el" href="_descriptors_8cpp_source.html#l00192">OriginsDescriptor::GetNumDimensions()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, and <a class="el" href="_descriptors_8cpp_source.html#l00167">OriginsDescriptor::SetViewOriginCoord()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="ad10541679f7d9740ba7a3c96b9843456"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ad10541679f7d9740ba7a3c96b9843456">◆ </a></span>QuantizedVector() <span class="overload">[1/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::vector<T> armnnUtils::QuantizedVector </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< float > & </td> |
| <td class="paramname"><em>array</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em> = <code>1.f</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00121">121</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">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 --> |
| </div> |
| </div> |
| <a id="afb0aab92dc5b9bc5d7ebe2ea036f3809"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#afb0aab92dc5b9bc5d7ebe2ea036f3809">◆ </a></span>QuantizedVector() <span class="overload">[2/3]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::vector<T> armnnUtils::QuantizedVector </td> |
| <td>(</td> |
| <td class="paramtype">FloatIt </td> |
| <td class="paramname"><em>first</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">FloatIt </td> |
| <td class="paramname"><em>last</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00105">105</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</a>.</p> |
| <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 --> |
| </div> |
| </div> |
| <a id="af29a7b903bf7ae9639ea29bc05ccb289"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#af29a7b903bf7ae9639ea29bc05ccb289">◆ </a></span>QuantizedVector() <span class="overload">[3/3]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <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> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>qScale</em> = <code>1.f</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>qOffset</em> = <code>0</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00127">127</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">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 --> |
| </div> |
| </div> |
| <a id="a29e9952fc973569b267d87b04ce372c2"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a29e9952fc973569b267d87b04ce372c2">◆ </a></span>ReduceDims() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> ReduceDims </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>dimensions</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00134">134</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00135"></a><span class="lineno"> 135</span> {</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">TensorInfo</a> strippedTensor(tensorInfo);</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> strippedShape = <a class="code" href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">ReduceDims</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), dimensions);</div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</span>  strippedTensor.SetShape(strippedShape);</div> |
| <div class="line"><a name="l00139"></a><span class="lineno"> 139</span>  <span class="keywordflow">return</span> strippedTensor;</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00108">ReduceDims()</a>, and <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>.</p> |
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| </div> |
| </div> |
| <a id="a2bff2aae3ae824ff74ba550488373886"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2bff2aae3ae824ff74ba550488373886">◆ </a></span>ReduceDims() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">TensorShape</a> ReduceDims </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>tensorInfo</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">unsigned int </td> |
| <td class="paramname"><em>dimensions</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00108">108</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><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">if</span> (tensorShape.GetNumDimensions() <= dimensions)</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">return</span> tensorShape;</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>  std::vector<unsigned int> newShape;</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>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimsToSkip = tensorShape.GetNumDimensions() - dimensions;</div> |
| <div class="line"><a name="l00117"></a><span class="lineno"> 117</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> dimsSkipped = 0;</div> |
| <div class="line"><a name="l00118"></a><span class="lineno"> 118</span>  <span class="keywordtype">bool</span> insertRemainder = <span class="keyword">false</span>;</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">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tensorShape.GetNumDimensions(); ++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>  <span class="keywordflow">if</span> (tensorShape[i] == 1 && dimsSkipped < dimsToSkip && !insertRemainder)</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>  ++dimsSkipped;</div> |
| <div class="line"><a name="l00125"></a><span class="lineno"> 125</span>  <span class="keywordflow">continue</span>;</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>  newShape.push_back(tensorShape[i]);</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  <span class="comment">// Once we insert the first dimension we can't skip any more</span></div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  insertRemainder = <span class="keyword">true</span>;</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  }</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="keywordflow">return</span> <a class="code" href="classarmnn_1_1_tensor_shape.html">TensorShape</a>(<span class="keyword">static_cast<</span><span class="keywordtype">unsigned</span> <span class="keywordtype">int</span><span class="keyword">></span>(newShape.size()), newShape.data());</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_tensor_utils_8cpp_source.html#l00134">ReduceDims()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a5135dc1ce7a8aeb97623c1a92c5a3543"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a5135dc1ce7a8aeb97623c1a92c5a3543">◆ </a></span>SelectiveDequantize()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">float armnnUtils::SelectiveDequantize </td> |
| <td>(</td> |
| <td class="paramtype">T </td> |
| <td class="paramname"><em>value</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>scale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00091">91</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</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.html#a855293b1be0581fb61ef6a1c5b027d0f">::Dequantize</a>(value, scale, offset);</div> |
| <div class="line"><a name="l00094"></a><span class="lineno"> 94</span> };</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a21b249bca87a5ad47359abd9ec7acada"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a21b249bca87a5ad47359abd9ec7acada">◆ </a></span>SelectiveQuantize()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">T armnnUtils::SelectiveQuantize </td> |
| <td>(</td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>value</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>scale</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int32_t </td> |
| <td class="paramname"><em>offset</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_quantize_helper_8hpp_source.html#l00085">85</a> of file <a class="el" href="_quantize_helper_8hpp_source.html">QuantizeHelper.hpp</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.html#ad773a034fb9983e15f3094b4c5c7c30c">::Quantize</a>(value, scale, offset);</div> |
| <div class="line"><a name="l00088"></a><span class="lineno"> 88</span> };</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a158a68b143d2564fa1ca047646cf4185"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a158a68b143d2564fa1ca047646cf4185">◆ </a></span>SplitBy()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::vector< std::string > SplitBy </td> |
| <td>(</td> |
| <td class="paramtype">const std::string & </td> |
| <td class="paramname"><em>originalString</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const std::string & </td> |
| <td class="paramname"><em>delimiter</em> = <code>" "</code>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">bool </td> |
| <td class="paramname"><em>includeEmptyToken</em> = <code>false</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <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> |
| </table> |
| </dd> |
| </dl> |
| <dl class="section return"><dt>Returns</dt><dd>A vector of tokens split from <code>originalString</code> by \delimiter </dd></dl> |
| |
| <p class="definition">Definition at line <a class="el" href="_model_accuracy_checker_8cpp_source.html#l00041">41</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.html">ModelAccuracyChecker.cpp</a>.</p> |
| <div class="fragment"><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>  std::vector<std::string> tokens;</div> |
| <div class="line"><a name="l00044"></a><span class="lineno"> 44</span>  <span class="keywordtype">size_t</span> cur = 0;</div> |
| <div class="line"><a name="l00045"></a><span class="lineno"> 45</span>  <span class="keywordtype">size_t</span> next = 0;</div> |
| <div class="line"><a name="l00046"></a><span class="lineno"> 46</span>  <span class="keywordflow">while</span> ((next = originalString.find(delimiter, cur)) != std::string::npos)</div> |
| <div class="line"><a name="l00047"></a><span class="lineno"> 47</span>  {</div> |
| <div class="line"><a name="l00048"></a><span class="lineno"> 48</span>  <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div> |
| <div class="line"><a name="l00049"></a><span class="lineno"> 49</span>  <span class="keywordflow">if</span> (next - cur > 0 || includeEmptyToken)</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>  tokens.push_back(originalString.substr(cur, next - cur));</div> |
| <div class="line"><a name="l00052"></a><span class="lineno"> 52</span>  }</div> |
| <div class="line"><a name="l00053"></a><span class="lineno"> 53</span>  cur = next + delimiter.size();</div> |
| <div class="line"><a name="l00054"></a><span class="lineno"> 54</span>  }</div> |
| <div class="line"><a name="l00055"></a><span class="lineno"> 55</span>  <span class="comment">// Get the remaining token</span></div> |
| <div class="line"><a name="l00056"></a><span class="lineno"> 56</span>  <span class="comment">// Skip empty tokens, unless explicitly stated to include them.</span></div> |
| <div class="line"><a name="l00057"></a><span class="lineno"> 57</span>  <span class="keywordflow">if</span> (originalString.size() - cur > 0 || includeEmptyToken)</div> |
| <div class="line"><a name="l00058"></a><span class="lineno"> 58</span>  {</div> |
| <div class="line"><a name="l00059"></a><span class="lineno"> 59</span>  tokens.push_back(originalString.substr(cur, originalString.size() - cur));</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">return</span> tokens;</div> |
| <div class="line"><a name="l00062"></a><span class="lineno"> 62</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="ac7f0575b4a8c9ba80c5b0695ada4dd92"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#ac7f0575b4a8c9ba80c5b0695ada4dd92">◆ </a></span>SqueezeDims()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::vector< unsigned int > SqueezeDims </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>tensorShape</em></td><td>)</td> |
| <td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00195">195</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00196"></a><span class="lineno"> 196</span> {</div> |
| <div class="line"><a name="l00197"></a><span class="lineno"> 197</span>  std::vector<unsigned int> squeezedDims;</div> |
| <div class="line"><a name="l00198"></a><span class="lineno"> 198</span>  </div> |
| <div class="line"><a name="l00199"></a><span class="lineno"> 199</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.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>(); ++i)</div> |
| <div class="line"><a name="l00200"></a><span class="lineno"> 200</span>  {</div> |
| <div class="line"><a name="l00201"></a><span class="lineno"> 201</span>  <span class="keywordflow">if</span> (tensorShape[i] != 1)</div> |
| <div class="line"><a name="l00202"></a><span class="lineno"> 202</span>  {</div> |
| <div class="line"><a name="l00203"></a><span class="lineno"> 203</span>  squeezedDims.push_back(tensorShape[i]);</div> |
| <div class="line"><a name="l00204"></a><span class="lineno"> 204</span>  }</div> |
| <div class="line"><a name="l00205"></a><span class="lineno"> 205</span>  }</div> |
| <div class="line"><a name="l00206"></a><span class="lineno"> 206</span>  <span class="keywordflow">return</span> squeezedDims;</div> |
| <div class="line"><a name="l00207"></a><span class="lineno"> 207</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_layer_8cpp_source.html#l00435">Layer::ValidateAndCopyShape()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a14be0364a6fc0975d45e84737dfe21bc"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a14be0364a6fc0975d45e84737dfe21bc">◆ </a></span>Strip()</h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::string Strip </td> |
| <td>(</td> |
| <td class="paramtype">const std::string & </td> |
| <td class="paramname"><em>originalString</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const std::string & </td> |
| <td class="paramname"><em>characterSet</em> = <code>" "</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p>Remove any preceding and trailing character specified in the characterSet. </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 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> |
| </table> |
| </dd> |
| </dl> |
| <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.html#l00065">65</a> of file <a class="el" href="_model_accuracy_checker_8cpp_source.html">ModelAccuracyChecker.cpp</a>.</p> |
| <div class="fragment"><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="keywordflow">if</span> (characterSet.empty())</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">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(<span class="stringliteral">"Strip: string of characters to strip is empty"</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>  <span class="keyword">const</span> std::size_t firstFound = originalString.find_first_not_of(characterSet);</div> |
| <div class="line"><a name="l00072"></a><span class="lineno"> 72</span>  <span class="keyword">const</span> std::size_t lastFound = originalString.find_last_not_of(characterSet);</div> |
| <div class="line"><a name="l00073"></a><span class="lineno"> 73</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="l00074"></a><span class="lineno"> 74</span>  <span class="keywordflow">if</span> (firstFound == std::string::npos || lastFound == std::string::npos)</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">return</span> <span class="stringliteral">""</span>;</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">return</span> originalString.substr(firstFound, lastFound + 1 - firstFound);</div> |
| <div class="line"><a name="l00079"></a><span class="lineno"> 79</span> }</div> |
| </div><!-- fragment --> |
| </div> |
| </div> |
| <a id="a573c6170ca8451709e031b6243bc187d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a573c6170ca8451709e031b6243bc187d">◆ </a></span>ToFloatArray() <span class="overload">[1/2]</span></h2> |
| |
| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr< float[]> ToFloatArray </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< PrimitiveType > & </td> |
| <td class="paramname"><em>data</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00307">307</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00308"></a><span class="lineno"> 308</span> {</div> |
| <div class="line"><a name="l00309"></a><span class="lineno"> 309</span>  <a class="code" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a>(data, tensorInfo);</div> |
| <div class="line"><a name="l00310"></a><span class="lineno"> 310</span>  </div> |
| <div class="line"><a name="l00311"></a><span class="lineno"> 311</span>  std::unique_ptr<float[]> returnBuffer(<span class="keyword">new</span> <span class="keywordtype">float</span>[tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>()]);</div> |
| <div class="line"><a name="l00312"></a><span class="lineno"> 312</span>  </div> |
| <div class="line"><a name="l00313"></a><span class="lineno"> 313</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">HasPerAxisQuantization</a>())</div> |
| <div class="line"><a name="l00314"></a><span class="lineno"> 314</span>  {</div> |
| <div class="line"><a name="l00315"></a><span class="lineno"> 315</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axis = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">GetQuantizationDim</a>().<a class="code" href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">value</a>();</div> |
| <div class="line"><a name="l00316"></a><span class="lineno"> 316</span>  <span class="keyword">auto</span> axisDimensionality = tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>()[axis];</div> |
| <div class="line"><a name="l00317"></a><span class="lineno"> 317</span>  <span class="keyword">auto</span> axisFactor = <a class="code" href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">GetShape</a>(), axis);</div> |
| <div class="line"><a name="l00318"></a><span class="lineno"> 318</span>  </div> |
| <div class="line"><a name="l00319"></a><span class="lineno"> 319</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++i)</div> |
| <div class="line"><a name="l00320"></a><span class="lineno"> 320</span>  {</div> |
| <div class="line"><a name="l00321"></a><span class="lineno"> 321</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> axisIndex;</div> |
| <div class="line"><a name="l00322"></a><span class="lineno"> 322</span>  </div> |
| <div class="line"><a name="l00323"></a><span class="lineno"> 323</span>  <span class="keywordflow">if</span> (i < axisFactor)</div> |
| <div class="line"><a name="l00324"></a><span class="lineno"> 324</span>  {</div> |
| <div class="line"><a name="l00325"></a><span class="lineno"> 325</span>  axisIndex = 0;</div> |
| <div class="line"><a name="l00326"></a><span class="lineno"> 326</span>  }</div> |
| <div class="line"><a name="l00327"></a><span class="lineno"> 327</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00328"></a><span class="lineno"> 328</span>  {</div> |
| <div class="line"><a name="l00329"></a><span class="lineno"> 329</span>  axisIndex = (i / axisFactor) % axisDimensionality;</div> |
| <div class="line"><a name="l00330"></a><span class="lineno"> 330</span>  }</div> |
| <div class="line"><a name="l00331"></a><span class="lineno"> 331</span>  returnBuffer[i] = Dequantize<PrimitiveType>(data[i],</div> |
| <div class="line"><a name="l00332"></a><span class="lineno"> 332</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">GetQuantizationScales</a>()[axisIndex],</div> |
| <div class="line"><a name="l00333"></a><span class="lineno"> 333</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div> |
| <div class="line"><a name="l00334"></a><span class="lineno"> 334</span>  }</div> |
| <div class="line"><a name="l00335"></a><span class="lineno"> 335</span>  }</div> |
| <div class="line"><a name="l00336"></a><span class="lineno"> 336</span>  <span class="keywordflow">else</span></div> |
| <div class="line"><a name="l00337"></a><span class="lineno"> 337</span>  {</div> |
| <div class="line"><a name="l00338"></a><span class="lineno"> 338</span>  <span class="keywordflow">for</span> (<span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> i = 0; i < tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>(); ++i)</div> |
| <div class="line"><a name="l00339"></a><span class="lineno"> 339</span>  {</div> |
| <div class="line"><a name="l00340"></a><span class="lineno"> 340</span>  returnBuffer[i] = Dequantize<PrimitiveType>(data[i],</div> |
| <div class="line"><a name="l00341"></a><span class="lineno"> 341</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">GetQuantizationScale</a>(),</div> |
| <div class="line"><a name="l00342"></a><span class="lineno"> 342</span>  tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">GetQuantizationOffset</a>());</div> |
| <div class="line"><a name="l00343"></a><span class="lineno"> 343</span>  }</div> |
| <div class="line"><a name="l00344"></a><span class="lineno"> 344</span>  }</div> |
| <div class="line"><a name="l00345"></a><span class="lineno"> 345</span>  <span class="keywordflow">return</span> returnBuffer;</div> |
| <div class="line"><a name="l00346"></a><span class="lineno"> 346</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_utils_8cpp_source.html#l00296">CheckSizes()</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetNumElements()</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00261">GetNumElementsAfter()</a>, <a class="el" href="_tensor_8cpp_source.html#l00494">TensorInfo::GetQuantizationDim()</a>, <a class="el" href="_tensor_8cpp_source.html#l00478">TensorInfo::GetQuantizationOffset()</a>, <a class="el" href="_tensor_8cpp_source.html#l00461">TensorInfo::GetQuantizationScale()</a>, <a class="el" href="_tensor_8cpp_source.html#l00451">TensorInfo::GetQuantizationScales()</a>, <a class="el" href="_tensor_8hpp_source.html#l00193">TensorInfo::GetShape()</a>, <a class="el" href="_tensor_8cpp_source.html#l00446">TensorInfo::HasPerAxisQuantization()</a>, and <a class="el" href="_optional_8hpp_source.html#l00146">OptionalReferenceSwitch< IsReference, T >::value()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a949e191038ae0bfd9a0597a7de353a27"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a949e191038ae0bfd9a0597a7de353a27">◆ </a></span>ToFloatArray() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">std::unique_ptr< float[]> ToFloatArray </td> |
| <td>(</td> |
| <td class="paramtype">const std::vector< uint8_t > & </td> |
| <td class="paramname"><em>data</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>tensorInfo</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
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| <p class="definition">Definition at line <a class="el" href="_tensor_utils_8cpp_source.html#l00348">348</a> of file <a class="el" href="_tensor_utils_8cpp_source.html">TensorUtils.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00349"></a><span class="lineno"> 349</span> {</div> |
| <div class="line"><a name="l00350"></a><span class="lineno"> 350</span>  <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmS8 || tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QSymmS8)</div> |
| <div class="line"><a name="l00351"></a><span class="lineno"> 351</span>  {</div> |
| <div class="line"><a name="l00352"></a><span class="lineno"> 352</span>  <a class="code" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a>(data, tensorInfo);</div> |
| <div class="line"><a name="l00353"></a><span class="lineno"> 353</span>  std::vector<int8_t> buffer(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div> |
| <div class="line"><a name="l00354"></a><span class="lineno"> 354</span>  ::memcpy(buffer.data(), data.data(), data.size());</div> |
| <div class="line"><a name="l00355"></a><span class="lineno"> 355</span>  <span class="keywordflow">return</span> ToFloatArray<int8_t>(buffer, tensorInfo);</div> |
| <div class="line"><a name="l00356"></a><span class="lineno"> 356</span>  }</div> |
| <div class="line"><a name="l00357"></a><span class="lineno"> 357</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::QAsymmU8)</div> |
| <div class="line"><a name="l00358"></a><span class="lineno"> 358</span>  {</div> |
| <div class="line"><a name="l00359"></a><span class="lineno"> 359</span>  <a class="code" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a>(data, tensorInfo);</div> |
| <div class="line"><a name="l00360"></a><span class="lineno"> 360</span>  <span class="keywordflow">return</span> ToFloatArray<uint8_t>(data, tensorInfo);</div> |
| <div class="line"><a name="l00361"></a><span class="lineno"> 361</span>  }</div> |
| <div class="line"><a name="l00362"></a><span class="lineno"> 362</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::Signed32)</div> |
| <div class="line"><a name="l00363"></a><span class="lineno"> 363</span>  {</div> |
| <div class="line"><a name="l00364"></a><span class="lineno"> 364</span>  <a class="code" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a>(data, tensorInfo, 4);</div> |
| <div class="line"><a name="l00365"></a><span class="lineno"> 365</span>  std::vector<int32_t> buffer(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div> |
| <div class="line"><a name="l00366"></a><span class="lineno"> 366</span>  ::memcpy(buffer.data(), data.data(), data.size());</div> |
| <div class="line"><a name="l00367"></a><span class="lineno"> 367</span>  <span class="keywordflow">return</span> ToFloatArray<int32_t>(buffer, tensorInfo);</div> |
| <div class="line"><a name="l00368"></a><span class="lineno"> 368</span>  }</div> |
| <div class="line"><a name="l00369"></a><span class="lineno"> 369</span>  <span class="keywordflow">else</span> <span class="keywordflow">if</span> (tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>() == DataType::Signed64)</div> |
| <div class="line"><a name="l00370"></a><span class="lineno"> 370</span>  {</div> |
| <div class="line"><a name="l00371"></a><span class="lineno"> 371</span>  <a class="code" href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">CheckSizes</a>(data, tensorInfo, 8);</div> |
| <div class="line"><a name="l00372"></a><span class="lineno"> 372</span>  std::vector<int64_t> buffer(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">GetNumElements</a>());</div> |
| <div class="line"><a name="l00373"></a><span class="lineno"> 373</span>  ::memcpy(buffer.data(), data.data(), data.size());</div> |
| <div class="line"><a name="l00374"></a><span class="lineno"> 374</span>  <span class="keywordflow">return</span> ToFloatArray<int64_t>(buffer, tensorInfo);</div> |
| <div class="line"><a name="l00375"></a><span class="lineno"> 375</span>  }</div> |
| <div class="line"><a name="l00376"></a><span class="lineno"> 376</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">InvalidArgumentException</a>(</div> |
| <div class="line"><a name="l00377"></a><span class="lineno"> 377</span>  fmt::format(<span class="stringliteral">"Unsupported datatype {}. {}"</span>,</div> |
| <div class="line"><a name="l00378"></a><span class="lineno"> 378</span>  <a class="code" href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">GetDataTypeName</a>(tensorInfo.<a class="code" href="classarmnn_1_1_tensor_info.html#aea909c7327109228ef618d459015def3">GetDataType</a>()),</div> |
| <div class="line"><a name="l00379"></a><span class="lineno"> 379</span>  <a class="code" href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a>().AsString()));</div> |
| <div class="line"><a name="l00380"></a><span class="lineno"> 380</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00203">CHECK_LOCATION</a>, <a class="el" href="_tensor_utils_8cpp_source.html#l00296">CheckSizes()</a>, <a class="el" href="_tensor_8hpp_source.html#l00200">TensorInfo::GetDataType()</a>, <a class="el" href="_types_utils_8hpp_source.html#l00233">armnn::GetDataTypeName()</a>, <a class="el" href="_tensor_8hpp_source.html#l00198">TensorInfo::GetNumElements()</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9d02ea768c081d4bdb2b7cab0b3f510d">armnn::QAsymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a0a3f57c876f5a230244c38e1453a8a6e">armnn::QAsymmU8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6a9945327825b115e93a3b89f4302e76db">armnn::QSymmS8</a>, <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6accedffbc6e5308e33d3843e8bdc0dad7">armnn::Signed32</a>, and <a class="el" href="namespacearmnn.html#ad8ed01ff3ff33333d8e19db4d2818bb6ae1b3c9c6087a93b07c83e0b04f377a8d">armnn::Signed64</a>.</p> |
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| </div> |
| </div> |
| <a id="a405d5f966ec992d1717711e5a2d7909d"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a405d5f966ec992d1717711e5a2d7909d">◆ </a></span>Transpose()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">void Transpose </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>dstShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const void * </td> |
| <td class="paramname"><em>src</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">void * </td> |
| <td class="paramname"><em>dst</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">size_t </td> |
| <td class="paramname"><em>dataTypeSize</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_transpose_8cpp_source.html#l00153">153</a> of file <a class="el" href="_transpose_8cpp_source.html">Transpose.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00155"></a><span class="lineno"> 155</span> {</div> |
| <div class="line"><a name="l00156"></a><span class="lineno"> 156</span>  TransposeLoop(srcShape, mappings).Unroll(src, dst, dataTypeSize);</div> |
| <div class="line"><a name="l00157"></a><span class="lineno"> 157</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.html#l00020">TransposeLayer::TransposeLayer()</a>.</p> |
| |
| </div> |
| </div> |
| <a id="a49e3aa80e05abc7b4643aad600e8d827"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a49e3aa80e05abc7b4643aad600e8d827">◆ </a></span>TransposeTensorShape() <span class="overload">[1/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> TransposeTensorShape </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> & </td> |
| <td class="paramname"><em>info</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_transpose_8cpp_source.html#l00146">146</a> of file <a class="el" href="_transpose_8cpp_source.html">Transpose.cpp</a>.</p> |
| <div class="fragment"><div class="line"><a name="l00147"></a><span class="lineno"> 147</span> {</div> |
| <div class="line"><a name="l00148"></a><span class="lineno"> 148</span>  <a class="code" href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a> outInfo(info);</div> |
| <div class="line"><a name="l00149"></a><span class="lineno"> 149</span>  outInfo.SetShape(<a class="code" href="namespacearmnn_utils.html#a428a9a6ffdf0e8d723b50c038c56c336">TransposeTensorShape</a>(<a class="code" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">info</a>.GetShape(), mappings));</div> |
| <div class="line"><a name="l00150"></a><span class="lineno"> 150</span>  <span class="keywordflow">return</span> outInfo;</div> |
| <div class="line"><a name="l00151"></a><span class="lineno"> 151</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::info</a>, <a class="el" href="_tensor_8hpp_source.html#l00195">TensorInfo::SetShape()</a>, and <a class="el" href="_transpose_8cpp_source.html#l00125">TransposeTensorShape()</a>.</p> |
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| </div> |
| </div> |
| <a id="a428a9a6ffdf0e8d723b50c038c56c336"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a428a9a6ffdf0e8d723b50c038c56c336">◆ </a></span>TransposeTensorShape() <span class="overload">[2/2]</span></h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname"><a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> TransposeTensorShape </td> |
| <td>(</td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> & </td> |
| <td class="paramname"><em>srcShape</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="classarmnn_1_1_permutation_vector.html">armnn::PermutationVector</a> & </td> |
| <td class="paramname"><em>mappings</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
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| <p class="definition">Definition at line <a class="el" href="_transpose_8cpp_source.html#l00125">125</a> of file <a class="el" href="_transpose_8cpp_source.html">Transpose.cpp</a>.</p> |
| <div class="fragment"><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>  <span class="keywordflow">if</span> (srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() != mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>())</div> |
| <div class="line"><a name="l00128"></a><span class="lineno"> 128</span>  {</div> |
| <div class="line"><a name="l00129"></a><span class="lineno"> 129</span>  std::stringstream msg;</div> |
| <div class="line"><a name="l00130"></a><span class="lineno"> 130</span>  msg << <span class="stringliteral">"Transpose: Number of shape dimensions ("</span> << srcShape.<a class="code" href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">GetNumDimensions</a>() <<</div> |
| <div class="line"><a name="l00131"></a><span class="lineno"> 131</span>  <span class="stringliteral">") does not match the size of the mappings ("</span> << mappings.<a class="code" href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>() << <span class="stringliteral">")"</span>;</div> |
| <div class="line"><a name="l00132"></a><span class="lineno"> 132</span>  <span class="keywordflow">throw</span> <a class="code" href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a>(msg.str());</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>  </div> |
| <div class="line"><a name="l00135"></a><span class="lineno"> 135</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.html#a490ec6b59006d1fe1ec2ea30e69fb97c">GetSize</a>();</div> |
| <div class="line"><a name="l00136"></a><span class="lineno"> 136</span>  <span class="keywordtype">unsigned</span> <span class="keywordtype">int</span> outDims[<a class="code" href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a>];</div> |
| <div class="line"><a name="l00137"></a><span class="lineno"> 137</span>  </div> |
| <div class="line"><a name="l00138"></a><span class="lineno"> 138</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="l00139"></a><span class="lineno"> 139</span>  {</div> |
| <div class="line"><a name="l00140"></a><span class="lineno"> 140</span>  outDims[i] = srcShape[mappings[i]];</div> |
| <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>  <a class="code" href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a> permutedShape(numDims, outDims);</div> |
| <div class="line"><a name="l00143"></a><span class="lineno"> 143</span>  <span class="keywordflow">return</span> permutedShape;</div> |
| <div class="line"><a name="l00144"></a><span class="lineno"> 144</span> }</div> |
| </div><!-- fragment --> |
| <p class="reference">References <a class="el" href="_tensor_8cpp_source.html#l00174">TensorShape::GetNumDimensions()</a>, <a class="el" href="_types_8hpp_source.html#l00357">PermutationVector::GetSize()</a>, and <a class="el" href="_types_8hpp_source.html#l00031">armnn::MaxNumOfTensorDimensions</a>.</p> |
| |
| <p class="reference">Referenced by <a class="el" href="_transpose_layer_8cpp_source.html#l00038">TransposeLayer::InferOutputShapes()</a>, <a class="el" href="_move_transpose_up_8hpp_source.html#l00023">MoveTransposeUpImpl::Run()</a>, and <a class="el" href="_transpose_8cpp_source.html#l00146">TransposeTensorShape()</a>.</p> |
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| </div> |
| </div> |
| <a id="a2e0aa273755368a1bf5fc65102df4a92"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a2e0aa273755368a1bf5fc65102df4a92">◆ </a></span>VerifyInt32()</h2> |
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| <div class="memitem"> |
| <div class="memproto"> |
| <table class="memname"> |
| <tr> |
| <td class="memname">int32_t VerifyInt32 </td> |
| <td>(</td> |
| <td class="paramtype">const char * </td> |
| <td class="paramname"><em>expr</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">int64_t </td> |
| <td class="paramname"><em>value</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">const <a class="el" href="structarmnn_1_1_check_location.html">armnn::CheckLocation</a> & </td> |
| <td class="paramname"><em>location</em> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_verification_helpers_8cpp_source.html#l00052">52</a> of file <a class="el" href="_verification_helpers_8cpp_source.html">VerificationHelpers.cpp</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.html">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.html#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><!-- fragment --> |
| <p class="reference">References <a class="el" href="_exceptions_8hpp_source.html#l00029">CheckLocation::AsString()</a>.</p> |
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| </div> |
| </div> |
| <a id="a56b0e17341e000fa1d4561890294520c"></a> |
| <h2 class="memtitle"><span class="permalink"><a href="#a56b0e17341e000fa1d4561890294520c">◆ </a></span>within_percentage_tolerance()</h2> |
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| <td class="memname">bool armnnUtils::within_percentage_tolerance </td> |
| <td>(</td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>a</em>, </td> |
| </tr> |
| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>b</em>, </td> |
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| <tr> |
| <td class="paramkey"></td> |
| <td></td> |
| <td class="paramtype">float </td> |
| <td class="paramname"><em>tolerancePercent</em> = <code>1.0f</code> </td> |
| </tr> |
| <tr> |
| <td></td> |
| <td>)</td> |
| <td></td><td></td> |
| </tr> |
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| <td class="mlabels-right"> |
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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> |
| <table class="params"> |
| <tr><td class="paramname">a</td><td></td></tr> |
| <tr><td class="paramname">b</td><td></td></tr> |
| <tr><td class="paramname">tolerancePercentage</td><td>If not supplied default will be 1% tolerance (1.0f) </td></tr> |
| </table> |
| </dd> |
| </dl> |
| <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.html#l00020">20</a> of file <a class="el" href="_floating_point_comparison_8hpp_source.html">FloatingPointComparison.hpp</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> |
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| </div> |
| </div> |
| <h2 class="groupheader">Variable Documentation</h2> |
| <a id="a59cbccbfbae7633020d200f8c23fe69e"></a> |
| <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.html">armnn::PermutationVector</a> ArmNNToNHWC = { 0, 3, 1, 2 }</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00017">17</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p> |
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| </div> |
| </div> |
| <a id="a12124184ac6aec018beb98b9715330c7"></a> |
| <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.html">armnn::PermutationVector</a> NHWCToArmNN = { 0, 2, 3, 1 }</td> |
| </tr> |
| </table> |
| </div><div class="memdoc"> |
| |
| <p class="definition">Definition at line <a class="el" href="_parser_helper_8cpp_source.html#l00016">16</a> of file <a class="el" href="_parser_helper_8cpp_source.html">ParserHelper.cpp</a>.</p> |
| |
| </div> |
| </div> |
| </div><!-- contents --> |
| </div><!-- doc-content --> |
| <div class="ttc" id="anamespacearmnn_html_a280670a263dc4fd40491f6d0a2737f44"><div class="ttname"><a href="namespacearmnn.html#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.html#l00276">Tensor.hpp:276</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_html"><div class="ttname"><a href="classarmnn_1_1_tensor.html">armnn::Tensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and a mutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00321">Tensor.hpp:321</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorInfo::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00198">Tensor.hpp:198</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_html"><div class="ttname"><a href="classarmnn_1_1_optional.html">armnn::Optional< unsigned int ></a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_aa01bce88f89975a5a031db4cc8861527"><div class="ttname"><a href="namespacearmnn.html#aa01bce88f89975a5a031db4cc8861527">armnn::InputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class ConstTensor > > InputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00394">Tensor.hpp:394</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8bc11f1fa23ef42532f9fdd04d355270"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8bc11f1fa23ef42532f9fdd04d355270">armnn::TensorInfo::GetQuantizationScales</a></div><div class="ttdeci">std::vector< float > GetQuantizationScales() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00451">Tensor.cpp:451</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a047ca888c43bd7fb5702853bf72410d0"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a047ca888c43bd7fb5702853bf72410d0">armnn::TensorInfo::GetQuantizationScale</a></div><div class="ttdeci">float GetQuantizationScale() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00461">Tensor.cpp:461</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html">armnn::TensorInfo</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00152">Tensor.hpp:152</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a78e8266be865fdd92cadd04d6e25ae1f"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a78e8266be865fdd92cadd04d6e25ae1f">armnn::OriginsDescriptor::GetNumDimensions</a></div><div class="ttdeci">uint32_t GetNumDimensions() const</div><div class="ttdoc">Get the number of dimensions.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00192">Descriptors.cpp:192</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a81b5ff8545adad19a1c9d4ca076d552c"><div class="ttname"><a href="namespacearmnn.html#a81b5ff8545adad19a1c9d4ca076d552c">armnn::GetDataTypeName</a></div><div class="ttdeci">constexpr const char * GetDataTypeName(DataType dataType)</div><div class="ttdef"><b>Definition:</b> <a href="_types_utils_8hpp_source.html#l00233">TypesUtils.hpp:233</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorInfo::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00197">Tensor.hpp:197</a></div></div> |
| <div class="ttc" id="a_exceptions_8hpp_html_aa3be76aec4ce713822a5ea1ecbb7bc61"><div class="ttname"><a href="_exceptions_8hpp.html#aa3be76aec4ce713822a5ea1ecbb7bc61">CHECK_LOCATION</a></div><div class="ttdeci">#define CHECK_LOCATION()</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00203">Exceptions.hpp:203</a></div></div> |
| <div class="ttc" id="aclassarmnn_utils_1_1_data_layout_indexed_html_a7d8b3d755b6ca8f5533657969efb06c4"><div class="ttname"><a href="classarmnn_utils_1_1_data_layout_indexed.html#a7d8b3d755b6ca8f5533657969efb06c4">armnnUtils::DataLayoutIndexed::GetDataLayout</a></div><div class="ttdeci">armnn::DataLayout GetDataLayout() const</div><div class="ttdef"><b>Definition:</b> <a href="_data_layout_indexed_8hpp_source.html#l00022">DataLayoutIndexed.hpp:22</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_affd5aae75cad90f472f96cfd25a13f29"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#affd5aae75cad90f472f96cfd25a13f29">armnn::ITensorHandle::GetShape</a></div><div class="ttdeci">virtual TensorShape GetShape() const =0</div><div class="ttdoc">Get the number of elements for each dimension ordered from slowest iterating dimension to fastest ite...</div></div> |
| <div class="ttc" id="anamespacearmnn_html_abdcd184ed3bd648bb31d385040cafd5d"><div class="ttname"><a href="namespacearmnn.html#abdcd184ed3bd648bb31d385040cafd5d">armnn::MaxNumOfTensorDimensions</a></div><div class="ttdeci">constexpr unsigned int MaxNumOfTensorDimensions</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00031">Types.hpp:31</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a8f091a512915d1cb29a4ebf13dfc53ea"><div class="ttname"><a href="namespacearmnn.html#a8f091a512915d1cb29a4ebf13dfc53ea">armnn::OutputTensors</a></div><div class="ttdeci">std::vector< std::pair< LayerBindingId, class Tensor > > OutputTensors</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00395">Tensor.hpp:395</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_abeaf4f6785039866fd075f4569ba8e84"><div class="ttname"><a href="namespacearmnn_utils.html#abeaf4f6785039866fd075f4569ba8e84">armnnUtils::Permuted</a></div><div class="ttdeci">armnn::TensorShape Permuted(const armnn::TensorShape &srcShape, const armnn::PermutationVector &mappings)</div><div class="ttdef"><b>Definition:</b> <a href="_permute_8cpp_source.html#l00125">Permute.cpp:125</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_a428a9a6ffdf0e8d723b50c038c56c336"><div class="ttname"><a href="namespacearmnn_utils.html#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="_transpose_8cpp_source.html#l00125">Transpose.cpp:125</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_ab85cd8cc10c96a7c99c14042c251fc48"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#ab85cd8cc10c96a7c99c14042c251fc48">armnn::TensorInfo::HasPerAxisQuantization</a></div><div class="ttdeci">bool HasPerAxisQuantization() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00446">Tensor.cpp:446</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_check_location_html_a5e3562cda960da001597e7dd5679b140"><div class="ttname"><a href="structarmnn_1_1_check_location.html#a5e3562cda960da001597e7dd5679b140">armnn::CheckLocation::AsString</a></div><div class="ttdeci">std::string AsString() const</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00029">Exceptions.hpp:29</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a375ca3cff9f1b005d1412dc5f3cf5b6e"><div class="ttname"><a href="namespacearmnn.html#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.html#l00035">NumericCast.hpp:35</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_afc4731b55776f71af1e14c799c6e6e2c"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#afc4731b55776f71af1e14c799c6e6e2c">armnn::StridedSliceDescriptor::GetStopForAxis</a></div><div class="ttdeci">int GetStopForAxis(const TensorShape &inputShape, unsigned int axis, int startForAxis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00419">Descriptors.cpp:419</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html">armnn::TensorShape</a></div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00020">Tensor.hpp:20</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a157e27d41e9f6b21f0d3c025fa47dc24"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a157e27d41e9f6b21f0d3c025fa47dc24">armnn::TensorShape::GetNumDimensions</a></div><div class="ttdeci">unsigned int GetNumDimensions() const</div><div class="ttdoc">Function that returns the tensor rank.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00174">Tensor.cpp:174</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b8fc85ce966c035d789cf22db5088a1"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b8fc85ce966c035d789cf22db5088a1">armnn::TensorInfo::GetQuantizationDim</a></div><div class="ttdeci">Optional< unsigned int > GetQuantizationDim() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00494">Tensor.cpp:494</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_invalid_argument_exception_html"><div class="ttname"><a href="classarmnn_1_1_invalid_argument_exception.html">armnn::InvalidArgumentException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00080">Exceptions.hpp:80</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a855293b1be0581fb61ef6a1c5b027d0f"><div class="ttname"><a href="namespacearmnn.html#a855293b1be0581fb61ef6a1c5b027d0f">armnn::Dequantize</a></div><div class="ttdeci">float Dequantize(QuantizedType value, float scale, int32_t offset)</div><div class="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.html#l00052">TypesUtils.cpp:52</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_exception_html"><div class="ttname"><a href="classarmnn_1_1_exception.html">armnn::Exception</a></div><div class="ttdoc">Base class for all ArmNN exceptions so that users can filter to just those.</div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00046">Exceptions.hpp:46</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a563609828050f1b3a7868c23f3365923"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a563609828050f1b3a7868c23f3365923">armnn::ITensorHandle::Unmap</a></div><div class="ttdeci">virtual void Unmap() const =0</div><div class="ttdoc">Unmap the tensor data.</div></div> |
| <div class="ttc" id="anamespacearmnn_html_ad773a034fb9983e15f3094b4c5c7c30c"><div class="ttname"><a href="namespacearmnn.html#ad773a034fb9983e15f3094b4c5c7c30c">armnn::Quantize</a></div><div class="ttdeci">QuantizedType Quantize(float value, float scale, int32_t offset)</div><div class="ttdoc">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.html#l00030">TypesUtils.cpp:30</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html_a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c"><div class="ttname"><a href="namespacearmnn.html#a4dc0adc6737b5944e7671bee71788407acaf9b6b99962bf5c2264824231d7a40c">armnn::BoostLogSeverityMapping::info</a></div><div class="ttdeci">@ info</div></div> |
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| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_a6d0384878432cfc9652b7ae8bc59506f"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#a6d0384878432cfc9652b7ae8bc59506f">armnn::StridedSliceDescriptor::m_ShrinkAxisMask</a></div><div class="ttdeci">int32_t m_ShrinkAxisMask</div><div class="ttdoc">Shrink axis mask value. If set, the nth specification shrinks the dimensionality by 1.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8hpp_source.html#l01355">Descriptors.hpp:1355</a></div></div> |
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| <div class="ttc" id="aclassarmnn_1_1_permutation_vector_html_a490ec6b59006d1fe1ec2ea30e69fb97c"><div class="ttname"><a href="classarmnn_1_1_permutation_vector.html#a490ec6b59006d1fe1ec2ea30e69fb97c">armnn::PermutationVector::GetSize</a></div><div class="ttdeci">SizeType GetSize() const</div><div class="ttdef"><b>Definition:</b> <a href="_types_8hpp_source.html#l00357">Types.hpp:357</a></div></div> |
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| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8b5d0f8a24e9d9238f412260a552acf8"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8b5d0f8a24e9d9238f412260a552acf8">armnn::TensorInfo::GetShape</a></div><div class="ttdeci">const TensorShape & GetShape() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00193">Tensor.hpp:193</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_parse_exception_html"><div class="ttname"><a href="classarmnn_1_1_parse_exception.html">armnn::ParseException</a></div><div class="ttdef"><b>Definition:</b> <a href="_exceptions_8hpp_source.html#l00092">Exceptions.hpp:92</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_a7e3caf713986e36cff3ba9d9e442366c"><div class="ttname"><a href="namespacearmnn_utils.html#a7e3caf713986e36cff3ba9d9e442366c">armnnUtils::CheckSizes</a></div><div class="ttdeci">void CheckSizes(const std::vector< PrimitiveType > &data, const armnn::TensorInfo &tensorInfo, unsigned int size=1)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00296">TensorUtils.cpp:296</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_strided_slice_descriptor_html_add849c1188ee7ff60774755b746aa526"><div class="ttname"><a href="structarmnn_1_1_strided_slice_descriptor.html#add849c1188ee7ff60774755b746aa526">armnn::StridedSliceDescriptor::GetStartForAxis</a></div><div class="ttdeci">int GetStartForAxis(const TensorShape &inputShape, unsigned int axis) const</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00392">Descriptors.cpp:392</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_a276aac5f7a8bdc3db4f62203870ca13b"><div class="ttname"><a href="namespacearmnn_utils.html#a276aac5f7a8bdc3db4f62203870ca13b">armnnUtils::GetNumElementsAfter</a></div><div class="ttdeci">unsigned int GetNumElementsAfter(const armnn::TensorShape &shape, unsigned int axis)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00261">TensorUtils.cpp:261</a></div></div> |
| <div class="ttc" id="anamespacearmnn_html"><div class="ttname"><a href="namespacearmnn.html">armnn</a></div><div class="ttdoc">Copyright (c) 2021 ARM Limited and Contributors.</div><div class="ttdef"><b>Definition:</b> <a href="01__00__quick__start_8dox_source.html#l00006">01_00_quick_start.dox:6</a></div></div> |
| <div class="ttc" id="astructarmnn_1_1_origins_descriptor_html_a2b125117aa61f9baf3a9cb8658aa61a2"><div class="ttname"><a href="structarmnn_1_1_origins_descriptor.html#a2b125117aa61f9baf3a9cb8658aa61a2">armnn::OriginsDescriptor::SetViewOriginCoord</a></div><div class="ttdeci">Status SetViewOriginCoord(uint32_t view, uint32_t coord, uint32_t value)</div><div class="ttdoc">@Brief Set the view origin coordinates.</div><div class="ttdef"><b>Definition:</b> <a href="_descriptors_8cpp_source.html#l00167">Descriptors.cpp:167</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_a2bff2aae3ae824ff74ba550488373886"><div class="ttname"><a href="namespacearmnn_utils.html#a2bff2aae3ae824ff74ba550488373886">armnnUtils::ReduceDims</a></div><div class="ttdeci">armnn::TensorShape ReduceDims(const armnn::TensorShape &tensorInfo, unsigned int dimensions)</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_utils_8cpp_source.html#l00108">TensorUtils.cpp:108</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_const_tensor_html"><div class="ttname"><a href="classarmnn_1_1_const_tensor.html">armnn::ConstTensor</a></div><div class="ttdoc">A tensor defined by a TensorInfo (shape and data type) and an immutable backing store.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8hpp_source.html#l00329">Tensor.hpp:329</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a8ffca1e21bdfa7f945617acd606aac91"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a8ffca1e21bdfa7f945617acd606aac91">armnn::TensorInfo::SetConstant</a></div><div class="ttdeci">void SetConstant(const bool IsConstant=true)</div><div class="ttdoc">Marks the data corresponding to this tensor info as constant.</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00514">Tensor.cpp:514</a></div></div> |
| <div class="ttc" id="anamespacearmnn_utils_html_ac7bd4ea667375c07718086368507ed44"><div class="ttname"><a href="namespacearmnn_utils.html#ac7bd4ea667375c07718086368507ed44">armnnUtils::TContainer</a></div><div class="ttdeci">mapbox::util::variant< std::vector< float >, std::vector< int >, std::vector< unsigned char >, std::vector< int8_t > > TContainer</div><div class="ttdef"><b>Definition:</b> <a href="_t_container_8hpp_source.html#l00018">TContainer.hpp:18</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_info_html_a770b51078da02f44a819e9f95d8058b5"><div class="ttname"><a href="classarmnn_1_1_tensor_info.html#a770b51078da02f44a819e9f95d8058b5">armnn::TensorInfo::GetQuantizationOffset</a></div><div class="ttdeci">int32_t GetQuantizationOffset() const</div><div class="ttdef"><b>Definition:</b> <a href="_tensor_8cpp_source.html#l00478">Tensor.cpp:478</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_tensor_shape_html_a8846406ac37fbd2204f0be16ee05d5b7"><div class="ttname"><a href="classarmnn_1_1_tensor_shape.html#a8846406ac37fbd2204f0be16ee05d5b7">armnn::TensorShape::GetNumElements</a></div><div class="ttdeci">unsigned int GetNumElements() const</div><div class="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.html#l00181">Tensor.cpp:181</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_optional_reference_switch_html_a77c7d528ac063d870b8c8426ec81c1c3"><div class="ttname"><a href="classarmnn_1_1_optional_reference_switch.html#a77c7d528ac063d870b8c8426ec81c1c3">armnn::OptionalReferenceSwitch::value</a></div><div class="ttdeci">const T & value() const</div><div class="ttdef"><b>Definition:</b> <a href="_optional_8hpp_source.html#l00146">Optional.hpp:146</a></div></div> |
| <div class="ttc" id="aclassarmnn_1_1_i_tensor_handle_html_a9afbc055a017adf1bc38ee137bca6e90"><div class="ttname"><a href="classarmnn_1_1_i_tensor_handle.html#a9afbc055a017adf1bc38ee137bca6e90">armnn::ITensorHandle::Map</a></div><div class="ttdeci">virtual const void * Map(bool blocking=true) const =0</div><div class="ttdoc">Map the tensor data for access.</div></div> |
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