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<title>Compute Library: Data Fields - Functions</title>
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<div id="projectname">Compute Library
&#160;<span id="projectnumber">v17.06</span>
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<li><a href="functions.xhtml"><span>All</span></a></li>
<li class="current"><a href="functions_func.xhtml"><span>Functions</span></a></li>
<li><a href="functions_vars.xhtml"><span>Variables</span></a></li>
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<li><a href="functions_func.xhtml#index_a"><span>a</span></a></li>
<li><a href="functions_func_b.xhtml#index_b"><span>b</span></a></li>
<li><a href="functions_func_c.xhtml#index_c"><span>c</span></a></li>
<li><a href="functions_func_d.xhtml#index_d"><span>d</span></a></li>
<li><a href="functions_func_e.xhtml#index_e"><span>e</span></a></li>
<li><a href="functions_func_f.xhtml#index_f"><span>f</span></a></li>
<li class="current"><a href="functions_func_g.xhtml#index_g"><span>g</span></a></li>
<li><a href="functions_func_h.xhtml#index_h"><span>h</span></a></li>
<li><a href="functions_func_i.xhtml#index_i"><span>i</span></a></li>
<li><a href="functions_func_k.xhtml#index_k"><span>k</span></a></li>
<li><a href="functions_func_l.xhtml#index_l"><span>l</span></a></li>
<li><a href="functions_func_m.xhtml#index_m"><span>m</span></a></li>
<li><a href="functions_func_n.xhtml#index_n"><span>n</span></a></li>
<li><a href="functions_func_o.xhtml#index_o"><span>o</span></a></li>
<li><a href="functions_func_p.xhtml#index_p"><span>p</span></a></li>
<li><a href="functions_func_q.xhtml#index_q"><span>q</span></a></li>
<li><a href="functions_func_r.xhtml#index_r"><span>r</span></a></li>
<li><a href="functions_func_s.xhtml#index_s"><span>s</span></a></li>
<li><a href="functions_func_t.xhtml#index_t"><span>t</span></a></li>
<li><a href="functions_func_u.xhtml#index_u"><span>u</span></a></li>
<li><a href="functions_func_v.xhtml#index_v"><span>v</span></a></li>
<li><a href="functions_func_w.xhtml#index_w"><span>w</span></a></li>
<li><a href="functions_func_x.xhtml#index_x"><span>x</span></a></li>
<li><a href="functions_func_y.xhtml#index_y"><span>y</span></a></li>
<li><a href="functions_func_z.xhtml#index_z"><span>z</span></a></li>
<li><a href="functions_func_0x7e.xhtml#index_0x7e"><span>~</span></a></li>
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&#160;
<h3><a class="anchor" id="index_g"></a>- g -</h3><ul>
<li>gemm()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a99422cae0054f3a9d4b6eb87402d8f11">ReferenceCPP</a>
</li>
<li>gemm_visitor()
: <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1gemm__visitor.xhtml#ae766e828cddee08ec8260e1f46c836a6">gemm_visitor</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_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_program_options.xhtml#ad9477503abc6ea34d01994c663261cc7">ProgramOptions</a>
, <a class="el" href="classarm__compute_1_1test_1_1_tensor_library.xhtml#a34e94c998e4527d9556ccc5da82765fd">TensorLibrary</a>
</li>
<li>get_classifications()
: <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">AlexNet&lt; ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position &gt;</a>
, <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_le_net5.xhtml#a1466ef70729f3c8b5da5ebfec3f53f26">LeNet5&lt; TensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction &gt;</a>
</li>
<li>get_help()
: <a class="el" href="classarm__compute_1_1test_1_1_program_options.xhtml#a9b576b0164ac6ad02b26f8b5b01575ba">ProgramOptions</a>
</li>
<li>get_measurement()
: <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_cycle_counter.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">CycleCounter</a>
, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instruction_counter.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">InstructionCounter</a>
, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_instrument.xhtml#a303d89af0281be803df4f5569ee8d420">Instrument</a>
, <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_wall_clock_timer.xhtml#a4c6dc9d669d56a96f44c30075bda5f04">WallClockTimer</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_tensor()
: <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_tensor_factory.xhtml#a274412527b3a8887c3ccd50de85de522">TensorFactory</a>
</li>
<li>get_type()
: <a class="el" href="classarm__compute_1_1_scheduler.xhtml#ab394515f710c2aac0f132ecc0b9323d9">Scheduler</a>
</li>
<li>GoogLeNetActivationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_activation_layer_dataset.xhtml#af33d55895f6171a96db2c6b0c4ca1684">GoogLeNetActivationLayerDataset</a>
</li>
<li>GoogLeNetConvolutionLayerDataset1()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset1.xhtml#ae72efc89a2de89f39a7e4e0344b4878d">GoogLeNetConvolutionLayerDataset1</a>
</li>
<li>GoogLeNetConvolutionLayerDataset2()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_convolution_layer_dataset2.xhtml#a38fd5cbd108feaedb67ee720042389f3">GoogLeNetConvolutionLayerDataset2</a>
</li>
<li>GoogLeNetFullyConnectedLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_fully_connected_layer_dataset.xhtml#a6cced1b6880c09f2438fcfb6225907ff">GoogLeNetFullyConnectedLayerDataset</a>
</li>
<li>GoogLeNetGEMMDataset1()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset1.xhtml#a0c309f9d9c5cfd3e88982e963c0bce7f">GoogLeNetGEMMDataset1</a>
</li>
<li>GoogLeNetGEMMDataset2()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_g_e_m_m_dataset2.xhtml#aaf6bd52d1cf73188877277447a4d9fe0">GoogLeNetGEMMDataset2</a>
</li>
<li>GoogLeNetNormalizationLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_normalization_layer_dataset.xhtml#a7a6a58ca4e08f67750f459945fe0f24a">GoogLeNetNormalizationLayerDataset</a>
</li>
<li>GoogLeNetPoolingLayerDataset()
: <a class="el" href="classarm__compute_1_1test_1_1_goog_le_net_pooling_layer_dataset.xhtml#a95a0c460cf0cf350a62feb0c15a26bfa">GoogLeNetPoolingLayerDataset</a>
</li>
</ul>
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