- a -

• attr_version : torch::autograd::Variable

- b -

• b_hh : torch::nn::detail::RNNImplBase< Derived >
• b_ih : torch::nn::detail::RNNImplBase< Derived >
• base_ : torch::autograd::Variable
• batch_data : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >::UnwrappedBatchData
• batch_queue_ : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >
• batch_size_ : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >
• bias : torch::nn::BatchNormImpl , torch::nn::ConvImpl< D, Derived > , torch::nn::LinearImpl
• bits : DLDataType
• buffer_ : torch::data::detail::sequencers::OrderedSequencer< Result >
• byte_offset : DLTensor

- c -

• code : DLDataType
• ctx : DLTensor
• cudnn_mode_ : torch::nn::detail::RNNImplBase< Derived >

- d -

• data : at::OperandInfo , DLTensor
• data_ : torch::autograd::Variable
• deleter : DLManagedTensor
• device_id : DLContext
• device_type : DLContext
• dimensionCount : ANeuralNetworksOperandType
• dimensions : ANeuralNetworksOperandType
• dl_tensor : DLManagedTensor
• dtype : DLTensor

- e -

• exception : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >::UnwrappedBatchData

- f -

• flat_weights_ : torch::nn::detail::RNNImplBase< Derived >
• function : torch::autograd::Edge

- i -

• impl_ : torch::nn::ModuleHolder< Contained >
• input_nr : torch::autograd::Edge

- j -

• joined_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >

- l -

• lanes : DLDataType

- m -

• main_thread_dataset_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• manager_ctx : DLManagedTensor
• message : torch::data::WorkerException

- n -

• ndim : DLTensor
• next_sequence_number_ : torch::data::detail::sequencers::OrderedSequencer< Result >
• number_of_gates_ : torch::nn::detail::RNNImplBase< Derived >

- o -

• options : torch::nn::BatchNormImpl , torch::nn::ConvImpl< D, Derived > , torch::nn::detail::DropoutImplBase< Derived > , torch::nn::detail::RNNImplBase< Derived > , torch::nn::EmbeddingImpl , torch::nn::LinearImpl
• options_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• original_exception : torch::data::WorkerException
• output : torch::nn::RNNOutput

- p -

• parameters_ : torch::optim::detail::OptimizerBase

- r -

• running_mean : torch::nn::BatchNormImpl
• running_var : torch::nn::BatchNormImpl

- s -

• scale : ANeuralNetworksOperandType
• sequence_number_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• sequencer_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• shape : DLTensor
• shuttle_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >
• state : torch::nn::RNNOutput
• stride_bytes : at::OperandInfo
• strides : DLTensor

- t -

• tensor : at::OperandInfo
• total_example_count_in_queue_ : torch::data::datasets::detail::BatchDataBuffer< UnwrappedBatch, ExampleSampler >
• type : ANeuralNetworksOperandType , at::OperandInfo

- v -

• vec : at::SplitUntil32Bit::iterator

- w -

• w_hh : torch::nn::detail::RNNImplBase< Derived >
• w_ih : torch::nn::detail::RNNImplBase< Derived >
• weight : torch::nn::BatchNormImpl , torch::nn::ConvImpl< D, Derived > , torch::nn::EmbeddingImpl , torch::nn::LinearImpl
• workers_ : torch::data::DataLoaderBase< Dataset, Batch, BatchRequest >