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| <div id="projectname">Compute Library |
|  <span id="projectnumber">v17.06</span> |
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| <li><a href="functions_c.xhtml#index_c"><span>c</span></a></li> |
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| <li><a href="functions_f.xhtml#index_f"><span>f</span></a></li> |
| <li><a href="functions_g.xhtml#index_g"><span>g</span></a></li> |
| <li><a href="functions_h.xhtml#index_h"><span>h</span></a></li> |
| <li><a href="functions_i.xhtml#index_i"><span>i</span></a></li> |
| <li><a href="functions_k.xhtml#index_k"><span>k</span></a></li> |
| <li><a href="functions_l.xhtml#index_l"><span>l</span></a></li> |
| <li><a href="functions_m.xhtml#index_m"><span>m</span></a></li> |
| <li><a href="functions_n.xhtml#index_n"><span>n</span></a></li> |
| <li><a href="functions_o.xhtml#index_o"><span>o</span></a></li> |
| <li><a href="functions_p.xhtml#index_p"><span>p</span></a></li> |
| <li><a href="functions_q.xhtml#index_q"><span>q</span></a></li> |
| <li><a href="functions_r.xhtml#index_r"><span>r</span></a></li> |
| <li><a href="functions_s.xhtml#index_s"><span>s</span></a></li> |
| <li><a href="functions_t.xhtml#index_t"><span>t</span></a></li> |
| <li><a href="functions_u.xhtml#index_u"><span>u</span></a></li> |
| <li><a href="functions_v.xhtml#index_v"><span>v</span></a></li> |
| <li><a href="functions_w.xhtml#index_w"><span>w</span></a></li> |
| <li><a href="functions_x.xhtml#index_x"><span>x</span></a></li> |
| <li><a href="functions_y.xhtml#index_y"><span>y</span></a></li> |
| <li><a href="functions_z.xhtml#index_z"><span>z</span></a></li> |
| <li><a href="functions_0x7e.xhtml#index_0x7e"><span>~</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_a"></a>- a -</h3><ul> |
| <li>a() |
| : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a55beddf67f69fc5312961b1b112560fb">ActivationLayerInfo</a> |
| </li> |
| <li>A11 |
| : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#adde8ad2311dc11f75f5571a764c6af97">CLCoefficientTable</a> |
| </li> |
| <li>A12 |
| : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a380c8116f7d47ce2367992bb986f9876">CLCoefficientTable</a> |
| </li> |
| <li>A22 |
| : <a class="el" href="structarm__compute_1_1_c_l_coefficient_table.xhtml#a20800b3d0475448767d2b30c530e1e29">CLCoefficientTable</a> |
| </li> |
| <li>abs() |
| : <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a3c04cac868606ed11c00761f0d5b3d2c">functions</a> |
| </li> |
| <li>absolute_difference() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a15536b2ec56dc51d7dc9ac09bd6a5d76">ReferenceCPP</a> |
| </li> |
| <li>AccessWindowAutoPadding() |
| : <a class="el" href="classarm__compute_1_1_access_window_auto_padding.xhtml#ab876b2c3c41ed76c14c177c9373d320b">AccessWindowAutoPadding</a> |
| </li> |
| <li>AccessWindowHorizontal() |
| : <a class="el" href="classarm__compute_1_1_access_window_horizontal.xhtml#ae44d5d1d474ac5fa01159d24f7318f7f">AccessWindowHorizontal</a> |
| </li> |
| <li>AccessWindowRectangle() |
| : <a class="el" href="classarm__compute_1_1_access_window_rectangle.xhtml#ae89409b4c8b08f06ab694e829223932b">AccessWindowRectangle</a> |
| </li> |
| <li>AccessWindowStatic() |
| : <a class="el" href="classarm__compute_1_1_access_window_static.xhtml#adbdf53818c3318f2f6700b15aa055b5d">AccessWindowStatic</a> |
| </li> |
| <li>AccessWindowVertical() |
| : <a class="el" href="classarm__compute_1_1_access_window_vertical.xhtml#af470e59c429be56a65a66e806816246d">AccessWindowVertical</a> |
| </li> |
| <li>accumulate() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a0aa8da1953b7cb44b1b75aec737adb48">ReferenceCPP</a> |
| </li> |
| <li>accumulate_squared() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a0dec321c30d2695ac8f9c20e8928543a">ReferenceCPP</a> |
| </li> |
| <li>accumulate_weighted() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a110ef9b03fb51be2f000391a300d1a2a">ReferenceCPP</a> |
| </li> |
| <li>act_layer |
| : <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_activation_layer.xhtml#ac66e1916a499d87abe29b182ed8ccde4">ActivationLayer< DataSet, TensorType, Accessor, Function, dt ></a> |
| </li> |
| <li>activation() |
| : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a63e05ce4946dd9807c005c1619fa337a">ActivationLayerInfo</a> |
| </li> |
| <li>activation_layer() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#a56c0f65e0e83ad40fe5ec3abfd16d7b9">ReferenceCPP</a> |
| </li> |
| <li>activation_layer_visitor() |
| : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1activation__layer__visitor.xhtml#af3aa3af523567ddde49a2e972e009e41">activation_layer_visitor</a> |
| </li> |
| <li>ActivationFunction |
| : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#a56297e0f7b215eea46c818cb7528d9ea">ActivationLayerInfo</a> |
| </li> |
| <li>ActivationFunctions() |
| : <a class="el" href="classarm__compute_1_1test_1_1_activation_functions.xhtml#a2bf52109824b6641431e0f8c5c321a12">ActivationFunctions</a> |
| </li> |
| <li>ActivationLayerInfo() |
| : <a class="el" href="classarm__compute_1_1_activation_layer_info.xhtml#af56abff12f887fddfa02e0bc18a318a1">ActivationLayerInfo</a> |
| </li> |
| <li>add() |
| : <a class="el" href="classarm__compute_1_1test_1_1benchmark_1_1_profiler.xhtml#afb11c32e4053f95d69d90aa4c9ee4cf9">Profiler</a> |
| , <a class="el" href="structarm__compute_1_1test_1_1fixed__point__arithmetic_1_1detail_1_1functions.xhtml#a40956c61706d70b8978c2b87ac455d2a">functions</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_tensor_cache.xhtml#a00b2f7f657ef8060c64fce93abac54e1">TensorCache</a> |
| </li> |
| <li>add_1D_tensor_argument() |
| : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a479e7043e65dc87de35d374e108510f7">ICLKernel</a> |
| </li> |
| <li>add_2D_tensor_argument() |
| : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#ac74dad3e61f79334f5e73f3c3ac603cb">ICLKernel</a> |
| </li> |
| <li>add_3D_tensor_argument() |
| : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a28f5847162f352444c6ac1825d0e99c7">ICLKernel</a> |
| </li> |
| <li>add_argument() |
| : <a class="el" href="classarm__compute_1_1_i_c_l_kernel.xhtml#a50f427a1d9419800972b9e03c4034311">ICLKernel</a> |
| </li> |
| <li>adjust() |
| : <a class="el" href="classarm__compute_1_1_window.xhtml#a69496c7cb46a4101813d7456a6bd097b">Window</a> |
| </li> |
| <li>AlexNet() |
| : <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#a38a530655b80667542e46842c3ed8989">AlexNet< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position ></a> |
| </li> |
| <li>AlexNetActivationLayerDataset() |
| : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_activation_layer_dataset.xhtml#a7e7ef32745be0119b6213ad986546d37">AlexNetActivationLayerDataset</a> |
| </li> |
| <li>AlexNetConvolutionLayerDataset() |
| : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_convolution_layer_dataset.xhtml#ac432b94801358a44d8646896fd663172">AlexNetConvolutionLayerDataset</a> |
| </li> |
| <li>AlexNetFullyConnectedLayerDataset() |
| : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_fully_connected_layer_dataset.xhtml#ad5a2bce30a5e0fe7e51e86fa1a765f74">AlexNetFullyConnectedLayerDataset</a> |
| </li> |
| <li>AlexNetNormalizationLayerDataset() |
| : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_normalization_layer_dataset.xhtml#a703ee52cdd79f7201ba2b594775a8eb5">AlexNetNormalizationLayerDataset</a> |
| </li> |
| <li>AlexNetPoolingLayerDataset() |
| : <a class="el" href="classarm__compute_1_1test_1_1_alex_net_pooling_layer_dataset.xhtml#a88a4ddd8886dd11eb1828f2d98b6e40c">AlexNetPoolingLayerDataset</a> |
| </li> |
| <li>align_columns |
| : <a class="el" href="structarm__compute_1_1_i_o_format_info.xhtml#a1d81fe110d5dcac79dd73a532015bb94">IOFormatInfo</a> |
| </li> |
| <li>AllDataTypes() |
| : <a class="el" href="classarm__compute_1_1test_1_1_all_data_types.xhtml#a66474cb52ac8a3af76cea1e305afec6c">AllDataTypes</a> |
| </li> |
| <li>allocate() |
| : <a class="el" href="classarm__compute_1_1_c_l_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLMultiImage</a> |
| , <a class="el" href="classarm__compute_1_1_c_l_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">CLPyramid</a> |
| , <a class="el" href="classarm__compute_1_1_c_l_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">CLTensorAllocator</a> |
| , <a class="el" href="classarm__compute_1_1_i_tensor_allocator.xhtml#aa8a4946cd749d482dd996874d295af85">ITensorAllocator</a> |
| , <a class="el" href="classarm__compute_1_1_multi_image.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">MultiImage</a> |
| , <a class="el" href="classarm__compute_1_1_pyramid.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">Pyramid</a> |
| , <a class="el" href="classarm__compute_1_1_tensor_allocator.xhtml#a6e509c2a177b0b29e9e2369535094dee">TensorAllocator</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1model__objects_1_1_alex_net.xhtml#acaefe811b78a2fdc4a0dba0c4029c3ef">AlexNet< ITensorType, TensorType, SubTensorType, Accessor, ActivationLayerFunction, ConvolutionLayerFunction, FullyConnectedLayerFunction, NormalizationLayerFunction, PoolingLayerFunction, SoftmaxLayerFunction, dt, fixed_point_position ></a> |
| </li> |
| <li>allocator() |
| : <a class="el" href="classarm__compute_1_1_c_l_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">CLLut</a> |
| , <a class="el" href="classarm__compute_1_1_c_l_tensor.xhtml#ad6dc6b773780dd6b1ad17fc82368d9f3">CLTensor</a> |
| , <a class="el" href="classarm__compute_1_1_lut.xhtml#a5330adc6ef4a662806ec236e2be07bbe">Lut</a> |
| , <a class="el" href="classarm__compute_1_1_tensor.xhtml#a531ec877bfc923dea3ab6f1be5e6e1ac">Tensor</a> |
| </li> |
| <li>alpha() |
| : <a class="el" href="classarm__compute_1_1_normalization_layer_info.xhtml#a4ee7f04c477d0e6a2a3609c24a8815b8">NormalizationLayerInfo</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_g_e_m_m_data_object.xhtml#ab1551d8043c2aa4410fb7dbb1fe3be7b">GEMMDataObject</a> |
| </li> |
| <li>anchor |
| : <a class="el" href="structarm__compute_1_1_valid_region.xhtml#a55a69b397082accd94221dd10b722cf7">ValidRegion</a> |
| </li> |
| <li>are_reshaped() |
| : <a class="el" href="classarm__compute_1_1_weights_info.xhtml#a5bfccf416ebb3979b4dca9a6ff6be5e0">WeightsInfo</a> |
| </li> |
| <li>are_weights_reshaped |
| : <a class="el" href="classarm__compute_1_1test_1_1_fully_connected_layer_data_object.xhtml#a146a7be9d813ad80abb72a0bf6566cbc">FullyConnectedLayerDataObject</a> |
| </li> |
| <li>area() |
| : <a class="el" href="classarm__compute_1_1_size2_d.xhtml#ab220a7dd0ff5c86b4ba8acdf75af3252">Size2D</a> |
| </li> |
| <li>arithmetic_addition() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#ae87f25d124d6c66c839ac929702aee11">ReferenceCPP</a> |
| </li> |
| <li>arithmetic_addition_visitor() |
| : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1arithmetic__addition__visitor.xhtml#adcc8209ec4c8324f86e4e83feacb7515">arithmetic_addition_visitor</a> |
| </li> |
| <li>arithmetic_subtraction() |
| : <a class="el" href="classarm__compute_1_1test_1_1validation_1_1_reference_c_p_p.xhtml#ab09b1a280817a388ed7bed899088ba0b">ReferenceCPP</a> |
| </li> |
| <li>arithmetic_subtraction_visitor() |
| : <a class="el" href="structarm__compute_1_1test_1_1validation_1_1tensor__visitors_1_1arithmetic__subtraction__visitor.xhtml#a56db7a03357ceaa165c86fa20aae5b85">arithmetic_subtraction_visitor</a> |
| </li> |
| <li>arity |
| : <a class="el" href="classarm__compute_1_1test_1_1_border_modes.xhtml#adf764cbdea00d65edcd07bb9953ad2b7a3e9a21bf74887eff2f2826d1478670b2">BorderModes</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_convert_policies.xhtml#a99fb83031ce9923c84392b4e92f956b5a3e9a21bf74887eff2f2826d1478670b2">ConvertPolicies</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_data_types.xhtml#abc6126af1d45847bc59afa0aa3216b04a3e9a21bf74887eff2f2826d1478670b2">DataTypes< Size ></a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_generic_dataset.xhtml#adc29c2ff13d900c2f185ee95427fb06ca3e9a21bf74887eff2f2826d1478670b2">GenericDataset< T, Size ></a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_image_dataset.xhtml#a61dadd085c1777f559549e05962b2c9ea3e9a21bf74887eff2f2826d1478670b2">ImageDataset< Size ></a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_interpolation_policies.xhtml#a726ca809ffd3d67ab4b8476646f26635a3e9a21bf74887eff2f2826d1478670b2">InterpolationPolicies</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_normalization_types.xhtml#a0411cd49bb5b71852cecd93bcbf0ca2da3e9a21bf74887eff2f2826d1478670b2">NormalizationTypes</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_rounding_policies.xhtml#abed82baf7f470b522273a3e37c24c600a3e9a21bf74887eff2f2826d1478670b2">RoundingPolicies</a> |
| , <a class="el" href="classarm__compute_1_1test_1_1_shape_dataset.xhtml#ab04a0655cd1e3bcac5e8f48c18df1a57a3e9a21bf74887eff2f2826d1478670b2">ShapeDataset< Size ></a> |
| </li> |
| <li>Array() |
| : <a class="el" href="classarm__compute_1_1_array.xhtml#af9474cac29f3177edf5e8d72ea4a440c">Array< T ></a> |
| </li> |
| <li>at() |
| : <a class="el" href="classarm__compute_1_1_i_array.xhtml#a861d8aa0fbeb6a0a33ec8d556b7e8657">IArray< T ></a> |
| </li> |
| <li>auto_padding() |
| : <a class="el" href="classarm__compute_1_1_i_tensor_info.xhtml#a4f2d0ac983637a0459daf43bcd65cc38">ITensorInfo</a> |
| , <a class="el" href="classarm__compute_1_1_sub_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">SubTensorInfo</a> |
| , <a class="el" href="classarm__compute_1_1_tensor_info.xhtml#a907f837b924945ad1981c8fe8eca61e4">TensorInfo</a> |
| </li> |
| </ul> |
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