diff options
Diffstat (limited to 'latest/classarmnn_utils_1_1_data_layout_indexed.html')
| -rw-r--r-- | latest/classarmnn_utils_1_1_data_layout_indexed.html | 14 |
1 files changed, 7 insertions, 7 deletions
diff --git a/latest/classarmnn_utils_1_1_data_layout_indexed.html b/latest/classarmnn_utils_1_1_data_layout_indexed.html index 1a8336eadb..e5c99cc118 100644 --- a/latest/classarmnn_utils_1_1_data_layout_indexed.html +++ b/latest/classarmnn_utils_1_1_data_layout_indexed.html @@ -36,7 +36,7 @@ <img alt="ArmNN" src="Arm_NN_horizontal_blue.png" style="max-width: 15rem; margin-top: .5rem; margin-left 13px"/> <td id="projectalign" style="padding-left: 0.9em;"> <div id="projectname"> -  <span id="projectnumber">24.02</span> +  <span id="projectnumber">24.05</span> </div> </td> </tr> @@ -207,7 +207,7 @@ Public Member Functions</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00023">23</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p> <div class="fragment"><div class="line"><a name="l00023"></a><span class="lineno"> 23</span> { <span class="keywordflow">return</span> m_ChannelsIndex; }</div> </div><!-- fragment --> -<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00207">armnn::Convert1HWOtoMIHW()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00039">ResizeLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01575">ResizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01934">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03685">DepthToSpaceQueueDescriptor::Validate()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_workload_utils_8cpp_source.html#l00208">armnn::Convert1HWOtoMIHW()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00068">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00016">armnn::DepthToSpace()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_resize_layer_8cpp_source.html#l00039">ResizeLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01577">ResizeQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01936">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03687">DepthToSpaceQueueDescriptor::Validate()</a>.</p> </div> </div> @@ -237,7 +237,7 @@ Public Member Functions</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00022">22</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p> <div class="fragment"><div class="line"><a name="l00022"></a><span class="lineno"> 22</span> { <span class="keywordflow">return</span> m_DataLayout; }</div> </div><!-- fragment --> -<p class="reference">Referenced by <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_data_layout_indexed_8cpp_source.html#l00046">armnnUtils::operator==()</a>, and <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_conv_impl_8cpp_source.html#l00068">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_data_layout_indexed_8cpp_source.html#l00046">armnnUtils::operator==()</a>, and <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>.</p> </div> </div> @@ -297,7 +297,7 @@ Public Member Functions</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00024">24</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p> <div class="fragment"><div class="line"><a name="l00024"></a><span class="lineno"> 24</span> { <span class="keywordflow">return</span> m_HeightIndex; }</div> </div><!-- fragment --> -<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00144">armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00057">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01848">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01934">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03685">DepthToSpaceQueueDescriptor::Validate()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00068">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00016">armnn::DepthToSpace()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00144">armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01850">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01936">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03687">DepthToSpaceQueueDescriptor::Validate()</a>.</p> </div> </div> @@ -404,7 +404,7 @@ Public Member Functions</h2></td></tr> </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> -<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.html#l00031">TensorBufferArrayView< DataType >::Get()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_tensor_buffer_array_view_8hpp_source.html#l00030">TensorBufferArrayView< DataType >::Get()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, and <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>.</p> </div> </div> @@ -434,7 +434,7 @@ Public Member Functions</h2></td></tr> <p class="definition">Definition at line <a class="el" href="_data_layout_indexed_8hpp_source.html#l00025">25</a> of file <a class="el" href="_data_layout_indexed_8hpp_source.html">DataLayoutIndexed.hpp</a>.</p> <div class="fragment"><div class="line"><a name="l00025"></a><span class="lineno"> 25</span> { <span class="keywordflow">return</span> m_WidthIndex; }</div> </div><!-- fragment --> -<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00071">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00018">armnn::DepthToSpace()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00144">armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00057">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01848">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01934">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03685">DepthToSpaceQueueDescriptor::Validate()</a>.</p> +<p class="reference">Referenced by <a class="el" href="_batch_norm_impl_8cpp_source.html#l00018">armnn::BatchNormImpl()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00050">armnn::BatchToSpaceNd()</a>, <a class="el" href="_conversion_utils_8cpp_source.html#l00392">armnn_driver::ConvertPooling2d()</a>, <a class="el" href="_conv_impl_8cpp_source.html#l00068">armnn::Convolve()</a>, <a class="el" href="_conv3d_impl_8cpp_source.html#l00011">armnn::Convolve3d()</a>, <a class="el" href="_depth_to_space_8cpp_source.html#l00016">armnn::DepthToSpace()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00144">armnn::optimizations::pad_fold::FoldPadIntoLayer2dImpl()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00015">armnn::GetOffset()</a>, <a class="el" href="_depth_to_space_layer_8cpp_source.html#l00041">DepthToSpaceLayer::InferOutputShapes()</a>, <a class="el" href="_pooling3d_layer_8cpp_source.html#l00040">Pooling3dLayer::InferOutputShapes()</a>, <a class="el" href="_pooling2d_layer_8cpp_source.html#l00040">Pooling2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution3d_layer_8cpp_source.html#l00062">Convolution3dLayer::InferOutputShapes()</a>, <a class="el" href="_depthwise_convolution2d_layer_8cpp_source.html#l00065">DepthwiseConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00064">Convolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_transpose_convolution2d_layer_8cpp_source.html#l00063">TransposeConvolution2dLayer::InferOutputShapes()</a>, <a class="el" href="_instance_norm_8cpp_source.html#l00018">armnn::InstanceNorm()</a>, <a class="el" href="_batch_to_space_nd_8cpp_source.html#l00015">armnn::Offset()</a>, <a class="el" href="_pooling2d_8cpp_source.html#l00142">armnn::Pooling2d()</a>, <a class="el" href="_pooling3d_8cpp_source.html#l00172">armnn::Pooling3d()</a>, <a class="el" href="_resize_8cpp_source.html#l00065">armnn::Resize()</a>, <a class="el" href="_fuse_batch_norm_8hpp_source.html#l00027">FuseBatchNorm< ConvLayer, ArmnnType, T >::Run()</a>, <a class="el" href="_convolution2d_layer_8cpp_source.html#l00029">Convolution2dLayer::SerializeLayerParameters()</a>, <a class="el" href="_space_to_batch_nd_8cpp_source.html#l00048">armnn::SpaceToBatchNd()</a>, <a class="el" href="_space_to_depth_8cpp_source.html#l00036">armnn::SpaceToDepth()</a>, <a class="el" href="_transpose_convolution2d_8cpp_source.html#l00015">armnn::TransposeConvolution2dImpl()</a>, <a class="el" href="_fold_pad_into_layer2d_8hpp_source.html#l00088">armnn::optimizations::pad_fold::TryFoldPadIntoLayer2d()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01850">SpaceToBatchNdQueueDescriptor::Validate()</a>, <a class="el" href="_workload_data_8cpp_source.html#l01936">SpaceToDepthQueueDescriptor::Validate()</a>, and <a class="el" href="_workload_data_8cpp_source.html#l03687">DepthToSpaceQueueDescriptor::Validate()</a>.</p> </div> </div> @@ -455,7 +455,7 @@ Public Member Functions</h2></td></tr> <div id="nav-path" class="navpath"><!-- id is needed for treeview function! --> <ul> <li class="navelem"><a class="el" href="namespacearmnn_utils.html">armnnUtils</a></li><li class="navelem"><a class="el" href="classarmnn_utils_1_1_data_layout_indexed.html">DataLayoutIndexed</a></li> - <li class="footer">Generated on Wed Feb 14 2024 16:36:26 for Arm NN by + <li class="footer">Generated on Thu May 16 2024 09:32:00 for Arm NN by <a href="http://www.doxygen.org/index.html"> <img class="footer" src="doxygen.png" alt="doxygen"/></a> 1.8.17 </li> </ul> |