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:
- e -
emplace() :
bc::utility::Any_Map
emplace_back() :
bc::tensors::exprs::Vector< ValueType, AllocatorType >
empty() :
bc::streams::HostStream
,
bc::tensors::exprs::Vector< ValueType, AllocatorType >
,
bc::utility::Any_Map
enable_logging() :
bc::nn::Logging_Output_Layer< SystemTag, ValueType, ErrorFunction >
enable_recurrent_caching() :
bc::nn::Cache
end() :
bc::algorithms::ReferenceList< T >
,
bc::Dim< N >
,
bc::io::Range< T >
,
bc::tensors::Expression_Base< ExpressionTemplate >::cw_iterator_type< Tensor >
,
bc::tensors::Expression_Base< ExpressionTemplate >::cw_reverse_iterator_type< Tensor >
,
bc::tensors::Tensor_Base< ExpressionTemplate >
,
bc::tensors::Tensor_Base< ExpressionTemplate >::nd_iterator_type< Tensor >
,
bc::tensors::Tensor_Base< ExpressionTemplate >::nd_reverse_iterator_type< Tensor >
,
bc::utility::Any_Map
end_ :
bc::io::Range< T >
end_t :
bc::tensors::Expression_Base< ExpressionTemplate >::cw_iterator_type< Tensor >
,
bc::tensors::Expression_Base< ExpressionTemplate >::cw_reverse_iterator_type< Tensor >
,
bc::tensors::Tensor_Base< ExpressionTemplate >::nd_iterator_type< Tensor >
,
bc::tensors::Tensor_Base< ExpressionTemplate >::nd_reverse_iterator_type< Tensor >
endpoint_call() :
bc::tensors::exprs::evaluator::evaluator_impl< Dimension >
,
bc::tensors::exprs::evaluator::evaluator_impl< 0 >
,
bc::tensors::exprs::evaluator::evaluator_impl< 1 >
endswith() :
bc::string
enqueue() :
bc::streams::Logging_Stream< SystemTag >
,
bc::streams::Stream< device_tag >
,
bc::streams::Stream< host_tag >
enqueue_callback() :
bc::streams::Logging_Stream< SystemTag >
,
bc::streams::Stream< device_tag >
,
bc::streams::Stream< host_tag >
entirely_blas_expr :
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 >
epsilon :
bc::nn::Adam::Optimizer< Tensor >
error_function :
bc::nn::Logging_Output_Layer< SystemTag, ValueType, ErrorFunction >
eval() :
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::Un_Op< Sum< SystemTag >, ArrayType >
evaluate() :
bc::tensors::exprs::Evaluator< Is_SubXpr >
,
bc::tensors::exprs::GreedyEvaluator
Expression_Base() :
bc::tensors::Expression_Base< ExpressionTemplate >
expression_template() :
bc::tensors::exprs::Expression_Template_Base< Derived >
,
bc::tensors::exprs::Vector< ValueType, AllocatorType >
expression_template_array_type :
bc::tensors::exprs::Kernel_Array_Base< Derived >
,
bc::tensors::exprs::Vector< ValueType, AllocatorType >
Expression_Template_Base() :
bc::tensors::exprs::Expression_Template_Base< Derived >
expression_template_expression_type :
bc::tensors::exprs::Expression_Base< Derived >
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