MayaFlux 0.4.0
Digital-First Multimedia Processing Framework
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GpuExtractor.hpp
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1#pragma once
2
5
6namespace MayaFlux::Yantra {
7
8/**
9 * @class GpuExtractor
10 * @brief Concrete UniversalExtractor that dispatches entirely via a
11 * GpuExecutionContext. CPU path is a hard error.
12 *
13 * @tparam InputType ComputeData type accepted.
14 * @tparam OutputType ComputeData type produced.
15 */
16template <ComputeData InputType = std::vector<Kakshya::DataVariant>,
17 ComputeData OutputType = InputType>
18class MAYAFLUX_API GpuExtractor : public UniversalExtractor<InputType, OutputType> {
19public:
22
23 /**
24 * @brief Construct with a configured GpuExecutionContext.
25 * @param executor Configured executor. Must not be null.
26 */
27 explicit GpuExtractor(
28 std::shared_ptr<GpuExecutionContext<InputType, OutputType>> executor)
29 {
30 assert(executor && "GpuExtractor: executor must not be null");
31 m_executor = executor;
32 this->set_gpu_backend(std::move(executor));
33 }
34
35 /**
36 * @brief Returns the attached GpuExecutionContext for further configuration.
37 */
38 [[nodiscard]] std::shared_ptr<GpuExecutionContext<InputType, OutputType>>
39 get_executor() const { return m_executor; }
40
41 [[nodiscard]] std::string get_extractor_name() const override
42 {
43 return "GpuExtractor";
44 }
45
46 [[nodiscard]] ExtractionType get_extraction_type() const override
47 {
48 return ExtractionType::CUSTOM;
49 }
50
51 [[nodiscard]] std::vector<std::string> get_available_methods() const override
52 {
53 return { "gpu_extract" };
54 }
55
56protected:
58 {
59 error<std::runtime_error>(
60 Journal::Component::Yantra,
61 Journal::Context::BufferProcessing,
62 std::source_location::current(),
63 "GpuExtractor: GPU unavailable and no CPU fallback provided");
64 }
65
66private:
67 std::shared_ptr<GpuExecutionContext<InputType, OutputType>> m_executor;
68};
69
70} // namespace MayaFlux::Yantra
Modern, digital-first universal extractor framework for Maya Flux.
Type-parameterised shell over GpuDispatchCore.
std::vector< std::string > get_available_methods() const override
Get available extraction methods for this extractor.
ExtractionType get_extraction_type() const override
Gets the extraction type category for this extractor.
GpuExtractor(std::shared_ptr< GpuExecutionContext< InputType, OutputType > > executor)
Construct with a configured GpuExecutionContext.
std::shared_ptr< GpuExecutionContext< InputType, OutputType > > get_executor() const
Returns the attached GpuExecutionContext for further configuration.
std::string get_extractor_name() const override
Get extractor-specific name (derived classes override this)
std::shared_ptr< GpuExecutionContext< InputType, OutputType > > m_executor
output_type extract_implementation(const input_type &) override
Pure virtual extraction implementation - derived classes implement this.
Concrete UniversalExtractor that dispatches entirely via a GpuExecutionContext.
Template-flexible extractor base with instance-defined I/O types.
ExtractionType
Categories of extraction operations for discovery and organization.
Input/Output container for computation pipeline data flow with structure preservation.
Definition DataIO.hpp:24