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&#160;<span id="projectnumber">17.09</span>
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<li><a href="functions_b.xhtml#index_b"><span>b</span></a></li>
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<div class="textblock">Here is a list of all struct and union fields with links to the structures/unions they belong to:</div>
<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
<li>GemmInterleaved()
: <a class="el" href="class_gemm_interleaved.xhtml#ad4b554ff56ba355e66b70698b1393085">GemmInterleaved&lt; strategy, To, Tr &gt;</a>
</li>
<li>get()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#aebe2d25607545d31f2b1ace6d60a81da">CLKernelLibrary</a>
, <a class="el" href="classarm__compute_1_1_c_l_scheduler.xhtml#a60f9a6836b628a7171914c4afe43b4a7">CLScheduler</a>
, <a class="el" href="classarm__compute_1_1_c_l_symbols.xhtml#a98782c8297f3985321c5fa98576327b8">CLSymbols</a>
, <a class="el" href="classarm__compute_1_1_c_p_p_scheduler.xhtml#aace2d80849d3f1c113153053728f2922">CPPScheduler</a>
, <a class="el" href="classarm__compute_1_1_o_m_p_scheduler.xhtml#a9571a5288c1b52189b63f9e1074768e3">OMPScheduler</a>
, <a class="el" href="classarm__compute_1_1_pixel_value.xhtml#a3997ae7153b94a3595d1a33186356a5b">PixelValue</a>
, <a class="el" href="classarm__compute_1_1_scheduler.xhtml#acb4f87f1831680d8d1b70e1bef06bb81">Scheduler</a>
, <a class="el" href="classarm__compute_1_1_single_thread_scheduler.xhtml#ad2239fa50e4adfc02e94407d0b846077">SingleThreadScheduler</a>
, <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#a024fbe836c85d10afefc81cd2e51658e">AssetsLibrary</a>
, <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#af8fbb8b386d3cce307a89002bcdbcfc9">Framework</a>
</li>
<li>get_classifications()
: <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_alex_net_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">AlexNetNetwork&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, DirectConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1networks_1_1_le_net5_network.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">LeNet5Network&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
</li>
<li>get_image_shape()
: <a class="el" href="classarm__compute_1_1test_1_1_assets_library.xhtml#acc474b96886b5fd500460c7b25dc84fa">AssetsLibrary</a>
</li>
<li>get_kernel_path()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#ad7395c158d8e31b9af211b9bc1f65a08">CLKernelLibrary</a>
</li>
<li>get_profiler()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_framework.xhtml#a0e42876589150f9ae9ad78d6446ef3b6">Framework</a>
</li>
<li>get_program_source()
: <a class="el" href="classarm__compute_1_1_c_l_kernel_library.xhtml#a44e90c4fa1204a708499ece56d4c82f0">CLKernelLibrary</a>
</li>
<li>get_pyramid_level()
: <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#af07bb423a5c0df8018b67c0e94fada02">CLPyramid</a>
, <a class="el" href="classarm__compute_1_1_i_pyramid.xhtml#a11ab83492962adab883cb1d0fbdd7af6">IPyramid</a>
, <a class="el" href="classarm__compute_1_1_pyramid.xhtml#a4187fb90f552249901da9febb67d8b7a">Pyramid</a>
</li>
<li>get_target()
: <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a646cd535a16835b246c3367a63d96250">ICLKernel</a>
</li>
<li>get_type()
: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
</li>
<li>get_value()
: <a class="el" href="classarm__compute_1_1test_1_1framework_1_1_p_m_u.xhtml#accfba41ff73f99ee744f8619f47bf413">PMU</a>
</li>
<li>get_working_size()
: <a class="el" href="class_gemm_common.xhtml#a190aa5a4547b7d8d8cbf7b7dc46ca32d">GemmCommon&lt; To, Tr &gt;</a>
, <a class="el" href="class_gemm_interleaved.xhtml#abf5a58f6feffeae31f48b750cba9303d">GemmInterleaved&lt; strategy, To, Tr &gt;</a>
</li>
<li>GlobalPoolingShapes()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_global_pooling_shapes.xhtml#aa2f05979de5779a1ea507dce1b721566">GlobalPoolingShapes</a>
</li>
<li>GoogleNetGEMMDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_google_net_g_e_m_m_dataset.xhtml#a6e632f30690cefa56f5bb98e892785bd">GoogleNetGEMMDataset</a>
</li>
<li>GoogLeNetInceptionV1ActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_activation_layer_dataset.xhtml#a85b0d218d7df5fc7d9db98604b165c1a">GoogLeNetInceptionV1ActivationLayerDataset</a>
</li>
<li>GoogLeNetInceptionV1ConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_convolution_layer_dataset.xhtml#a9a3d978819027d2adae9b71b5cd0d2b8">GoogLeNetInceptionV1ConvolutionLayerDataset</a>
</li>
<li>GoogLeNetInceptionV1DirectConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_direct_convolution_layer_dataset.xhtml#aefbe31466b0860964ac8fbd00ca87280">GoogLeNetInceptionV1DirectConvolutionLayerDataset</a>
</li>
<li>GoogLeNetInceptionV1FullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_fully_connected_layer_dataset.xhtml#a8ad86e3bfaf17b7771fad1b89dd06684">GoogLeNetInceptionV1FullyConnectedLayerDataset</a>
</li>
<li>GoogLeNetInceptionV1GEMMDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_g_e_m_m_dataset.xhtml#a8672faf8b1099707721daff025765fbc">GoogLeNetInceptionV1GEMMDataset</a>
</li>
<li>GoogLeNetInceptionV1NormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_normalization_layer_dataset.xhtml#ad45fbeb5ea23a02052a7e1781f0576bb">GoogLeNetInceptionV1NormalizationLayerDataset</a>
</li>
<li>GoogLeNetInceptionV1PoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v1_pooling_layer_dataset.xhtml#a86b04a52c102d48d662ef675d627efd0">GoogLeNetInceptionV1PoolingLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4ActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_activation_layer_dataset.xhtml#a361dc63be658f74c81c4ca62d555fa4c">GoogLeNetInceptionV4ActivationLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4BatchNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_batch_normalization_layer_dataset.xhtml#a5c56b0d715939df7ca959944960a7555">GoogLeNetInceptionV4BatchNormalizationLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4ConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_convolution_layer_dataset.xhtml#a8d29b2e598c645471e9b978e4317d3d9">GoogLeNetInceptionV4ConvolutionLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4DirectConvolutionLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_direct_convolution_layer_dataset.xhtml#a90f7d9e9a8a5c2f6e835731554319481">GoogLeNetInceptionV4DirectConvolutionLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4FullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_fully_connected_layer_dataset.xhtml#a0e3a7975960a7a9aaf9c17cca2e9a8c0">GoogLeNetInceptionV4FullyConnectedLayerDataset</a>
</li>
<li>GoogLeNetInceptionV4PoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1datasets_1_1_goog_le_net_inception_v4_pooling_layer_dataset.xhtml#a169de687b2e9235db9af906dd7528bb4">GoogLeNetInceptionV4PoolingLayerDataset</a>
</li>
<li>gpu_available_memory_size
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#aa4017b592302af592aca556e4cb49099">mali_base_gpu_core_props</a>
</li>
<li>gpu_freq_khz_max
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a8725d76f659bb6227b77073bd2c61e88">mali_base_gpu_core_props</a>
</li>
<li>gpu_freq_khz_min
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#a45d871f7e3eed35198b89b61649d56d2">mali_base_gpu_core_props</a>
</li>
<li>gpu_id
: <a class="el" href="structmali__userspace_1_1gpu__raw__gpu__props.xhtml#ab2b81d8aa4523e95e3f6244bca52a556">gpu_raw_gpu_props</a>
</li>
<li>gpu_speed_mhz
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__core__props.xhtml#acee64366b6aa7e475082c84ca98e6884">mali_base_gpu_core_props</a>
</li>
<li>Graph()
: <a class="el" href="classarm__compute_1_1graph_1_1_graph.xhtml#a6920039a211f8f50842081c3c4204d2d">Graph</a>
</li>
<li>group
: <a class="el" href="structmali__userspace_1_1mali__base__gpu__coherent__group__info.xhtml#a263b80b4971e2c15ad2d7f9d421b2899">mali_base_gpu_coherent_group_info</a>
</li>
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