- a -

• add() : caffe2::StatRegistry
• Add() : dnnlowp::Histogram
• add_chunk_data() : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >
• add_parameters() : torch::optim::detail::OptimizerBase
• AddBlobMapping() : caffe2::Workspace
• addCallback() : c10::ivalue
• AddGradientInputAccumulationOps() : caffe2::RecurrentNetworkGradientOp< Context >
• addInEdge() : nom::Node< T, U >
• addOutEdge() : nom::Node< T, U >
• addRegistrationListener() : c10::Dispatcher
• Alias() : caffe2::Tensor
• allow_tensor_metadata_change() : c10::TensorImpl
• AnalyzeOps() : caffe2::CUDARecurrentNetworkExecutor
• any_forward() : torch::nn::AnyModule
• any_parameters_alias() : torch::nn::detail::RNNImplBase< Derived >
• AnyModule() : torch::nn::AnyModule
• append() : c10::SmallVectorImpl< T >
• apply() : torch::data::transforms::Lambda< Input, Output > , torch::data::transforms::TensorTransform< Target > , torch::data::transforms::Transform< Input, Output > , torch::nn::Module
• apply_batch() : torch::data::transforms::BatchLambda< Input, Output > , torch::data::transforms::BatchTransform< InputBatch, OutputBatch > , torch::data::transforms::Transform< Input, Output >
• ApplyTo() : caffe2::Transform
• ArrayRef() : c10::ArrayRef< T >
• as() : torch::nn::Module
• at() : c10::ArrayRef< T > , torch::nn::SequentialImpl
• autograd_meta() : c10::TensorImpl