24.02/functions_func_f.html - ml/armnn - Gitiles

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 &#160;

 <h3><a id="index_f"></a>- f -</h3><ul>
 <li>FakeQuantizationDescriptor()
 : <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.html#a07e9336ef20ef3348c954f620d9a31f3">FakeQuantizationDescriptor</a>
 </li>
 <li>FakeQuantizationLayer()
 : <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a1ced02069893e08574433978a7ecd55b">FakeQuantizationLayer</a>
 </li>
 <li>FakeQuantizationQueueDescriptor()
 : <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.html#a275fbb91c39758c86dc9426cf40b3903">FakeQuantizationQueueDescriptor</a>
 </li>
 <li>FileLine()
 : <a class="el" href="structarmnn_1_1_check_location.html#ac1184445a1323e07e0da084a54aec535">CheckLocation</a>
 </li>
 <li>FillDescriptor()
 : <a class="el" href="structarmnn_1_1_fill_descriptor.html#ab424db19258eeff7f27ff87e9b74bf5e">FillDescriptor</a>
 </li>
 <li>FillLayer()
 : <a class="el" href="classarmnn_1_1_fill_layer.html#ad6e7b358fc6cac001f14d5b465b546d9">FillLayer</a>
 </li>
 <li>Finish()
 : <a class="el" href="structarmnn_1_1_cl_context_builder.html#aff108affe64f8866613fe9581ab883dd">ClContextBuilder</a>
 , <a class="el" href="structarmnn_1_1_program_builder.html#ac1457929dc85df13e80c1822b1ab282c">ProgramBuilder</a>
 </li>
 <li>FinishStrategy()
 : <a class="el" href="classarmnn_1_1_i_strategy.html#adf2f7effbf860b32e9a4ef2a73f84190">IStrategy</a>
 </li>
 <li>FirstInputTypedWorkload()
 : <a class="el" href="classarmnn_1_1_first_input_typed_workload.html#a25445e32b355feb06cd17f31667e0ecd">FirstInputTypedWorkload&lt; QueueDescriptor, DataType &gt;</a>
 </li>
 <li>Float16Decoder()
 : <a class="el" href="classarmnn_1_1_float16_decoder.html#ae32147bae37227ffbd320fd9056a6696">Float16Decoder</a>
 </li>
 <li>Float16Encoder()
 : <a class="el" href="classarmnn_1_1_float16_encoder.html#abb210b769f62a2b8e3d5cd4ca93e866c">Float16Encoder</a>
 </li>
 <li>Float32Decoder()
 : <a class="el" href="classarmnn_1_1_float32_decoder.html#a6ff91a91407c5bb2d912a6aba510fdea">Float32Decoder</a>
 </li>
 <li>Float32Encoder()
 : <a class="el" href="classarmnn_1_1_float32_encoder.html#a5e0071e4be4f33494b05240304d8eb5b">Float32Encoder</a>
 </li>
 <li>Float32ToBFloat16()
 : <a class="el" href="classarmnn_1_1_b_float16.html#a3ff08d61c8f7403c9f790e2b96d91a9d">BFloat16</a>
 </li>
 <li>FloorLayer()
 : <a class="el" href="classarmnn_1_1_floor_layer.html#abc0b06adfadf3c59b4f91640cc791c36">FloorLayer</a>
 </li>
 <li>FoldPadIntoConvolution2dImpl()
 : <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_convolution2d_impl.html#a008dac8de51c0f701621e64c91c6b9f8">FoldPadIntoConvolution2dImpl</a>
 </li>
 <li>FoldPadIntoDepthwiseConvolution2dImpl()
 : <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_depthwise_convolution2d_impl.html#aaca45051409c6c4abacece8ad7b56c14">FoldPadIntoDepthwiseConvolution2dImpl</a>
 </li>
 <li>FoldPadIntoPooling2dImpl()
 : <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_pooling2d_impl.html#ac299be827c8031d777d2b0a5b721a3ae">FoldPadIntoPooling2dImpl</a>
 </li>
 <li>ForEachIConnectableLayer()
 : <a class="el" href="classarmnn_1_1_subgraph_view.html#a89db17358856d60f03966a0e2e8cb25c">SubgraphView</a>
 </li>
 <li>ForEachLayer()
 : <a class="el" href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">Graph</a>
 , <a class="el" href="classarmnn_1_1_subgraph_view.html#ad6521013ad981519904822f2ada2c4ec">SubgraphView</a>
 </li>
 <li>free()
 : <a class="el" href="classarmnn_1_1_cl_backend_1_1_cl_backend_custom_allocator_wrapper.html#abbd17af5b3fbeff226e4051433c1b929">ClBackend::ClBackendCustomAllocatorWrapper</a>
 , <a class="el" href="classarmnn_1_1_cl_backend_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">ClBackendDefaultAllocator</a>
 , <a class="el" href="classarmnn_1_1_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">DefaultAllocator</a>
 </li>
 <li>Free()
 : <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html#a49db2bfde3ca4fac7d1042a3aa5778aa">IWorkingMemHandle</a>
 , <a class="el" href="classarmnn_1_1experimental_1_1_working_mem_handle.html#a2688c89e6bdec61e0f483d9be6fd688c">WorkingMemHandle</a>
 </li>
 <li>free()
 : <a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html#abbd17af5b3fbeff226e4051433c1b929">GpuFsaBackend::GpuFsaBackendCustomAllocatorWrapper</a>
 , <a class="el" href="classarmnn_1_1_gpu_fsa_backend_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">GpuFsaBackendDefaultAllocator</a>
 , <a class="el" href="classarmnn_1_1_i_custom_allocator.html#a7dbeba9295a3f52ea54698c31e555dff">ICustomAllocator</a>
 </li>
 <li>FreeWorkingMemory()
 : <a class="el" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">LoadedNetwork</a>
 </li>
 <li>FullyConnectedDescriptor()
 : <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html#ab70cd7344da13580556ea1af358a8a8b">FullyConnectedDescriptor</a>
 </li>
 <li>FullyConnectedLayer()
 : <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a88ae76d1f14ba0eaf81701eb38e3682a">FullyConnectedLayer</a>
 </li>
 <li>Func()
 : <a class="el" href="structarmnn_1_1optimizations_1_1_float16_to_float32.html#a0617fdc915ac5caefaf3e4e78a7f28a2">Float16ToFloat32</a>
 , <a class="el" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html#a0617fdc915ac5caefaf3e4e78a7f28a2">Float32ToFloat16</a>
 </li>
 <li>FuseBatchNorm()
 : <a class="el" href="classarmnn_1_1optimizations_1_1_fuse_batch_norm.html#abe49327783cb8bdc12c085c987db14db">FuseBatchNorm&lt; ConvLayer, ArmnnType, T &gt;</a>
 </li>
 <li>FusedDescriptor()
 : <a class="el" href="structarmnn_1_1_fused_descriptor.html#ae1331e1a851068243183fce2040d566d">FusedDescriptor</a>
 </li>
 <li>FusedLayer()
 : <a class="el" href="classarmnn_1_1_fused_layer.html#a084fce3d6b96b1c0bf9de5901201da93">FusedLayer</a>
 </li>
 </ul>
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	<h3><a id="index_f"></a>- f -</h3><ul>
	<li>FakeQuantizationDescriptor()
	: <a class="el" href="structarmnn_1_1_fake_quantization_descriptor.html#a07e9336ef20ef3348c954f620d9a31f3">FakeQuantizationDescriptor</a>
	</li>
	<li>FakeQuantizationLayer()
	: <a class="el" href="classarmnn_1_1_fake_quantization_layer.html#a1ced02069893e08574433978a7ecd55b">FakeQuantizationLayer</a>
	</li>
	<li>FakeQuantizationQueueDescriptor()
	: <a class="el" href="structarmnn_1_1_fake_quantization_queue_descriptor.html#a275fbb91c39758c86dc9426cf40b3903">FakeQuantizationQueueDescriptor</a>
	</li>
	<li>FileLine()
	: <a class="el" href="structarmnn_1_1_check_location.html#ac1184445a1323e07e0da084a54aec535">CheckLocation</a>
	</li>
	<li>FillDescriptor()
	: <a class="el" href="structarmnn_1_1_fill_descriptor.html#ab424db19258eeff7f27ff87e9b74bf5e">FillDescriptor</a>
	</li>
	<li>FillLayer()
	: <a class="el" href="classarmnn_1_1_fill_layer.html#ad6e7b358fc6cac001f14d5b465b546d9">FillLayer</a>
	</li>
	<li>Finish()
	: <a class="el" href="structarmnn_1_1_cl_context_builder.html#aff108affe64f8866613fe9581ab883dd">ClContextBuilder</a>
	, <a class="el" href="structarmnn_1_1_program_builder.html#ac1457929dc85df13e80c1822b1ab282c">ProgramBuilder</a>
	</li>
	<li>FinishStrategy()
	: <a class="el" href="classarmnn_1_1_i_strategy.html#adf2f7effbf860b32e9a4ef2a73f84190">IStrategy</a>
	</li>
	<li>FirstInputTypedWorkload()
	: <a class="el" href="classarmnn_1_1_first_input_typed_workload.html#a25445e32b355feb06cd17f31667e0ecd">FirstInputTypedWorkload< QueueDescriptor, DataType ></a>
	</li>
	<li>Float16Decoder()
	: <a class="el" href="classarmnn_1_1_float16_decoder.html#ae32147bae37227ffbd320fd9056a6696">Float16Decoder</a>
	</li>
	<li>Float16Encoder()
	: <a class="el" href="classarmnn_1_1_float16_encoder.html#abb210b769f62a2b8e3d5cd4ca93e866c">Float16Encoder</a>
	</li>
	<li>Float32Decoder()
	: <a class="el" href="classarmnn_1_1_float32_decoder.html#a6ff91a91407c5bb2d912a6aba510fdea">Float32Decoder</a>
	</li>
	<li>Float32Encoder()
	: <a class="el" href="classarmnn_1_1_float32_encoder.html#a5e0071e4be4f33494b05240304d8eb5b">Float32Encoder</a>
	</li>
	<li>Float32ToBFloat16()
	: <a class="el" href="classarmnn_1_1_b_float16.html#a3ff08d61c8f7403c9f790e2b96d91a9d">BFloat16</a>
	</li>
	<li>FloorLayer()
	: <a class="el" href="classarmnn_1_1_floor_layer.html#abc0b06adfadf3c59b4f91640cc791c36">FloorLayer</a>
	</li>
	<li>FoldPadIntoConvolution2dImpl()
	: <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_convolution2d_impl.html#a008dac8de51c0f701621e64c91c6b9f8">FoldPadIntoConvolution2dImpl</a>
	</li>
	<li>FoldPadIntoDepthwiseConvolution2dImpl()
	: <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_depthwise_convolution2d_impl.html#aaca45051409c6c4abacece8ad7b56c14">FoldPadIntoDepthwiseConvolution2dImpl</a>
	</li>
	<li>FoldPadIntoPooling2dImpl()
	: <a class="el" href="classarmnn_1_1optimizations_1_1pad__fold_1_1_fold_pad_into_pooling2d_impl.html#ac299be827c8031d777d2b0a5b721a3ae">FoldPadIntoPooling2dImpl</a>
	</li>
	<li>ForEachIConnectableLayer()
	: <a class="el" href="classarmnn_1_1_subgraph_view.html#a89db17358856d60f03966a0e2e8cb25c">SubgraphView</a>
	</li>
	<li>ForEachLayer()
	: <a class="el" href="classarmnn_1_1_graph.html#ad6521013ad981519904822f2ada2c4ec">Graph</a>
	, <a class="el" href="classarmnn_1_1_subgraph_view.html#ad6521013ad981519904822f2ada2c4ec">SubgraphView</a>
	</li>
	<li>free()
	: <a class="el" href="classarmnn_1_1_cl_backend_1_1_cl_backend_custom_allocator_wrapper.html#abbd17af5b3fbeff226e4051433c1b929">ClBackend::ClBackendCustomAllocatorWrapper</a>
	, <a class="el" href="classarmnn_1_1_cl_backend_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">ClBackendDefaultAllocator</a>
	, <a class="el" href="classarmnn_1_1_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">DefaultAllocator</a>
	</li>
	<li>Free()
	: <a class="el" href="classarmnn_1_1experimental_1_1_i_working_mem_handle.html#a49db2bfde3ca4fac7d1042a3aa5778aa">IWorkingMemHandle</a>
	, <a class="el" href="classarmnn_1_1experimental_1_1_working_mem_handle.html#a2688c89e6bdec61e0f483d9be6fd688c">WorkingMemHandle</a>
	</li>
	<li>free()
	: <a class="el" href="classarmnn_1_1_gpu_fsa_backend_1_1_gpu_fsa_backend_custom_allocator_wrapper.html#abbd17af5b3fbeff226e4051433c1b929">GpuFsaBackend::GpuFsaBackendCustomAllocatorWrapper</a>
	, <a class="el" href="classarmnn_1_1_gpu_fsa_backend_default_allocator.html#abbd17af5b3fbeff226e4051433c1b929">GpuFsaBackendDefaultAllocator</a>
	, <a class="el" href="classarmnn_1_1_i_custom_allocator.html#a7dbeba9295a3f52ea54698c31e555dff">ICustomAllocator</a>
	</li>
	<li>FreeWorkingMemory()
	: <a class="el" href="classarmnn_1_1_loaded_network.html#aaf8558a23ae9be6e7ea165989f1fa808">LoadedNetwork</a>
	</li>
	<li>FullyConnectedDescriptor()
	: <a class="el" href="structarmnn_1_1_fully_connected_descriptor.html#ab70cd7344da13580556ea1af358a8a8b">FullyConnectedDescriptor</a>
	</li>
	<li>FullyConnectedLayer()
	: <a class="el" href="classarmnn_1_1_fully_connected_layer.html#a88ae76d1f14ba0eaf81701eb38e3682a">FullyConnectedLayer</a>
	</li>
	<li>Func()
	: <a class="el" href="structarmnn_1_1optimizations_1_1_float16_to_float32.html#a0617fdc915ac5caefaf3e4e78a7f28a2">Float16ToFloat32</a>
	, <a class="el" href="structarmnn_1_1optimizations_1_1_float32_to_float16.html#a0617fdc915ac5caefaf3e4e78a7f28a2">Float32ToFloat16</a>
	</li>
	<li>FuseBatchNorm()
	: <a class="el" href="classarmnn_1_1optimizations_1_1_fuse_batch_norm.html#abe49327783cb8bdc12c085c987db14db">FuseBatchNorm< ConvLayer, ArmnnType, T ></a>
	</li>
	<li>FusedDescriptor()
	: <a class="el" href="structarmnn_1_1_fused_descriptor.html#ae1331e1a851068243183fce2040d566d">FusedDescriptor</a>
	</li>
	<li>FusedLayer()
	: <a class="el" href="classarmnn_1_1_fused_layer.html#a084fce3d6b96b1c0bf9de5901201da93">FusedLayer</a>
	</li>
	</ul>
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