BlackCat_Tensors
A GPU-supported autograd and linear algebra library, designed for neural network construction
Here is a list of all class members with links to the classes they belong to:
- l -
layer() :
bc::nn::LayerChain< Index, Derived, CurrentLayer, Layers... >
Layer_Base() :
bc::nn::Layer_Base< DerivedLayer, InputTensorDescriptor, OutputTensorDescriptor >
layer_chain :
bc::nn::NeuralNetwork< Layers >
Layer_Loader() :
bc::nn::Layer_Loader
Layer_Manager() :
bc::nn::Layer_Manager< Derived, Layer >
layer_type :
bc::nn::LayerChain< Index, Derived, CurrentLayer, Layers... >
LayerChain() :
bc::nn::LayerChain< Index, Derived, CurrentLayer, Layers... >
leading_dim() :
bc::Shape< N >
,
bc::Shape< 0 >
,
bc::Shape< 1 >
,
bc::Strided_Vector_Shape
,
bc::tensors::exprs::Vector< ValueType, AllocatorType >
learning_rate :
bc::nn::Momentum::Optimizer< Tensor >
,
bc::nn::Polymorphic_Layer_Base< Dimension, ValueType, SystemTag, Allocator, OutputDimension, OutputValueType, OutputSystemTag, OutputAllocator >
,
bc::nn::Stochastic_Gradient_Descent::Optimizer< ValueType >
left :
bc::tensors::exprs::Bin_Op< Operation, Lv, Rv >
,
bc::tensors::exprs::Bin_Op< oper::dot< SystemTag >, lv, rv >
,
bc::tensors::exprs::Bin_Op< oper::gemm< SystemTag >, lv, rv >
,
bc::tensors::exprs::Bin_Op< oper::gemv< SystemTag >, lv, rv >
,
bc::tensors::exprs::Bin_Op< oper::ger< SystemTag >, lv, rv >
,
bc::tensors::exprs::blas_expression_parser::Common_Tools< derived >::contents< Lv, Rv, Alpha, Beta, LvTrans, RvTrans, LvScalar, RvScalar >
left_value_type :
bc::tensors::exprs::blas_expression_parser::Common_Tools< derived >::contents< Lv, Rv, Alpha, Beta, LvTrans, RvTrans, LvScalar, RvScalar >
linear_eval() :
bc::tensors::exprs::optimizer< Bin_Op< op, lv, rv >, std::enable_if_t< oper::operation_traits< op >::is_linear_operation > >
,
bc::tensors::exprs::optimizer< Bin_Op< op, lv, rv >, std::enable_if_t< oper::operation_traits< op >::is_nonlinear_operation &&!expression_traits< Bin_Op< op, lv, rv > > ::requires_greedy_evaluation::value > >
,
bc::tensors::exprs::optimizer< Un_Op< Op, Array >, std::enable_if_t<!expression_traits< Un_Op< Op, Array > > ::requires_greedy_evaluation::value > >
,
bc::tensors::exprs::optimizer_default< T >
,
bc::tensors::exprs::optimizer_greedy_evaluations< Xpr >
load() :
bc::nn::Adam::Optimizer< Tensor >
,
bc::nn::Cache
,
bc::nn::Convolution< SystemTag, ValueType, Optimizer >
,
bc::nn::FeedForward< SystemTag, ValueType, Optimizer >
,
bc::nn::Layer_Base< DerivedLayer, InputTensorDescriptor, OutputTensorDescriptor >
,
bc::nn::Layer_Manager< Derived, Layer >
,
bc::nn::LSTM< SystemTag, ValueType, Optimizer, ForgetGateNonlinearity, WriteGateNonlinearity, InputGateNonlinearity, OutputGateNonlinearity, CellStateNonLinearity >
,
bc::nn::Momentum::Optimizer< Tensor >
,
bc::nn::NeuralNetwork< Layers >
,
bc::nn::Optimizer_Base
,
bc::nn::Polymorphic_Layer_Base< Dimension, ValueType, SystemTag, Allocator, OutputDimension, OutputValueType, OutputSystemTag, OutputAllocator >
,
bc::nn::Recurrent< SystemTag, ValueType, RecurrentNonLinearity >
load_to_cache() :
bc::nn::Layer_Base< DerivedLayer, InputTensorDescriptor, OutputTensorDescriptor >
,
bc::nn::LSTM< SystemTag, ValueType, Optimizer, ForgetGateNonlinearity, WriteGateNonlinearity, InputGateNonlinearity, OutputGateNonlinearity, CellStateNonLinearity >
,
bc::nn::Polymorphic_Layer_Base< Dimension, ValueType, SystemTag, Allocator, OutputDimension, OutputValueType, OutputSystemTag, OutputAllocator >
load_variable() :
bc::nn::Layer_Loader
logger :
bc::nn::Logging_Output_Layer< SystemTag, ValueType, ErrorFunction >
Logging_Allocator() :
bc::allocators::Logging_Allocator< Allocator >
logging_enabled :
bc::nn::Logging_Output_Layer< SystemTag, ValueType, ErrorFunction >
Logging_Output_Layer() :
bc::nn::Logging_Output_Layer< SystemTag, ValueType, ErrorFunction >
LSTM() :
bc::nn::LSTM< SystemTag, ValueType, Optimizer, ForgetGateNonlinearity, WriteGateNonlinearity, InputGateNonlinearity, OutputGateNonlinearity, CellStateNonLinearity >
lv_is_scalar_multiplied :
bc::tensors::exprs::blas_expression_parser::Common_Tools< derived >::contents< Lv, Rv, Alpha, Beta, LvTrans, RvTrans, LvScalar, RvScalar >
lv_is_transposed :
bc::tensors::exprs::blas_expression_parser::Common_Tools< derived >::contents< Lv, Rv, Alpha, Beta, LvTrans, RvTrans, LvScalar, RvScalar >
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