apply_operation_internal()

template<ComputeData InputType = std::vector<Kakshya::DataVariant>, ComputeData OutputType = InputType>

virtual output_type MayaFlux::Yantra::ComputeOperation< InputType, OutputType >::apply_operation_internal ( const input_type &  input, const ExecutionContext &  context  )

inlineprotectedvirtual

Internal execution method - ComputeMatrix can access this.

Parameters

input	Input data wrapped in IO
context	Execution context with mode, threading, etc.

Returns

Processed output

Definition at line 212 of file ComputeOperation.hpp.

    {
        if (m_gpu_backend && m_gpu_backend->ensure_gpu_ready()) {
            return m_gpu_backend->execute(input, context);
        }
 
        switch (context.mode) {
        case ExecutionMode::ASYNC:
            // Return the result of the future (this might need different handling)
            return apply_operation_async(input).get();
 
        case ExecutionMode::PARALLEL:
            return apply_operation_parallel(input, context);
 
        case ExecutionMode::CHAINED:
            return apply_operation_chained(input, context);
 
        case ExecutionMode::DEPENDENCY:
        case ExecutionMode::SYNC:
        default:
            return apply_hooks(input, context);
        }
    }

References MayaFlux::Yantra::ExecutionContext::mode.