neat Namespace

Definition

namespace simaai::neat { ... }

Namespaces Index

namespace	debug
namespace	dlpack
	Minimal DLPack-shaped structs for zero-copy interop with NumPy/PyTorch. More...
namespace	error_codes
namespace	genai
namespace	graph
namespace	graphs
namespace	internal
namespace	nodes
namespace	pipeline_internal
namespace	runtime
namespace	stages
namespace	validators

Classes Index

struct	AdvancedExecutionOptions
	Intent-named, jargon-free execution controls (preferred over the raw legacy fields). More...
struct	AudioSpec
	Audio-tensor metadata: sample rate, channel count, interleaving. More...
struct	BenchmarkOptions
	Options for Model::benchmark() synthetic inputs and measurement. More...
struct	BenchmarkReport
	Headline result returned by Model::benchmark(). More...
struct	BoundaryFlowStats
	Per-boundary flow statistics — buffer counts at identity probes between Nodes. More...
struct	Box
	One axis-aligned detection produced by BoxDecode. More...
struct	BoxDecodeOptions
struct	BoxDecodeResult
	Parsed BoxDecode output paired with its raw byte buffer. More...
struct	BuildAdaptationAction
	One line item from the build-adaptation log. More...
struct	BuildAdaptationSummary
	Snapshot of build-time adaptation state — present for build(input) flows. More...
struct	BusMessage
	A single GStreamer bus message captured during pipeline build/run. More...
struct	ByteStreamSpec
	Opaque byte-stream tensor metadata. More...
class	CameraInput
struct	CameraInputOptions
	Options for CameraInput, a live libcamera/MIPI source. More...
class	Cast
	CVU kernel Node that casts a tensor between FP32 and BF16 (no scale/zero-point). More...
struct	CastOptions
	Construction options for a Cast Node. More...
class	CastTess
	Fused CVU kernel Node: Cast (FP32→BF16) followed by Tess. More...
struct	CastTessOptions
	Construction options for a CastTess Node. More...
struct	ColorConvertSpec
	Color-format conversion parameters. More...
class	Contract
	A single validation rule applied to an ordered node list. More...
struct	ContractFieldSpec
	Per-field contract: where the field value comes from and the override policy. More...
struct	ContractPortSpec
	Per-port contract: the shape/type/segment requirements for one input or output. More...
class	ContractRegistry
	Holds a set of Contracts and runs them to produce a ValidationReport. More...
struct	ConversionCost
	Cost estimate for a conversion: bytes moved + a coarse compute-class bucket (low/med/high). More...
struct	ConversionTrace
	Single audit-log entry for a conversion that occurred. More...
struct	ConversionTraceCollector
	Collects ConversionTrace entries for post-mortem auditing of a pipeline run. More...
class	Dequant
	CVU kernel Node that dequantizes INT8 tensors to FP32 using scale + zero-point. More...
struct	DequantOptions
	Construction options for a Dequant Node. More...
struct	DetectionSpec
	Detection-decoder metadata — tags tensors that carry packed detection output. More...
class	Detess
	CVU kernel Node that detessellates MLA-layout tensors back to natural HWC/CHW order. More...
class	DetessCast
	Fused CVU kernel Node: Detess followed by Cast (BF16→FP32). More...
struct	DetessCastOptions
	Construction options for a DetessCast Node. More...
class	DetessDequant
	Fused CVU kernel Node: Detess followed by Dequant (INT8→FP32). More...
struct	DetessDequantOptions
	Construction options for a DetessDequant Node. More...
struct	DetessOptions
	Construction options for a Detess Node. More...
struct	Device
	Device descriptor: type + numeric ID (for multi-device boards). More...
class	EncodedCapsFixup
	Identity node whose runtime probe fills invalid encoded caps fields. More...
struct	EncodedCapsFixupOptions
	Configuration for EncodedCapsFixup. More...
struct	EncodedSpec
	Encoded-stream tensor metadata: which codec the bytes represent. More...
class	FeatureHistogram
struct	FeatureHistogramOptions
	8-bit grayscale histogram Node options. More...
struct	FeaturePointsHeaderV1
	Fixed prefix of the FEATURE_POINTS_V1 payload. More...
struct	FeaturePointTensors
struct	FeatureSpec
	Feature-extractor output metadata (for example SuperPoint feature points). More...
class	FileInput
	Wraps GStreamer's filesrc element — reads encoded media from a path on disk. More...
struct	FormatSpec
	Thin wrapper around FormatTag with implicit string conversions. More...
class	Graph
	The assembly stage — turns a list of Nodes into a runnable, deterministic pipeline. More...
struct	GraphElementMetrics
struct	GraphLinkOptions
	Options for Graph::connect(from, to, options). More...
struct	GraphNodeMetrics
struct	GraphOptions
	Per-Graph construction options. More...
struct	GraphProcessCvuPreparedBridgeAbiV2
struct	GraphProcessCvuStageRequest
struct	GraphProcessCvuStageRequestV2
struct	GraphProcessMlaStageRequest
struct	GraphQuantContract
struct	GraphReport
	Structured pipeline diagnostics — the framework's primary triage record. More...
struct	GraphTensorContract
class	GriderFast
struct	GriderFastOptions
	Grid-distributed FAST feature detector options. More...
class	H264CapsFixup
	Helper Node that fills in missing H.264 RTP caps fields with fallbacks. More...
class	H264Decode
	Hardware-accelerated H.264 decoder Node. More...
class	H264Depacketize
	Depayloads RTP-encapsulated H.264 into a raw H.264 byte stream. More...
class	H264EncodeSima
	Hardware-accelerated H.264 encoder Node. More...
class	H264Packetize
	RTP H.264 payloader Node — wraps encoded H.264 into RTP packets. More...
class	H264Parse
	H.264 stream parser Node — parses NAL units, finds keyframes, optionally locks caps. More...
struct	H264ParseOptions
	Construction options for an H264Parse Node — config-interval and optional caps lock. More...
class	H265Depacketize
	Depayloads RTP-encapsulated H.265 into parsed Annex-B access units. More...
class	HttpSource
	HTTP source Node backed by GStreamer's souphttpsrc. More...
struct	HttpSourceOptions
	Construction options for an HttpSource Node. More...
struct	I420Mapped
	Bundles an I420 view with the Mapping that keeps its underlying buffer alive. More...
struct	I420View
	Non-owning view into I420 pixel data: separate Y, U, V planes. More...
class	ImageDecode
	Auto-detects and decodes still-image formats (JPEG, PNG, BMP, …) to raw video. More...
struct	ImageSpec
	Image-tensor metadata: pixel format and (optional) color space. More...
class	Input
	Push-mode source Node. More...
struct	InputDropInfo
	Diagnostic record for a dropped input frame. More...
struct	InputOptions
	Caps, buffering, and pool options for the Input Node. More...
class	JpegDecode
	Decodes JPEG-encoded buffers to raw frames. More...
class	JpegParse
	JPEG stream parser Node backed by GStreamer's jpegparse. More...
struct	JpegParseOptions
	Construction options for JpegParse. More...
struct	LayoutConvertSpec
	Axis-permutation parameters for HWC↔CHW-style layout conversions. More...
struct	Mapping
	Scoped read/write window into a TensorBuffer. More...
struct	MeasureCounters
	Common input/output/drop counters captured during a measurement window. More...
struct	MeasureEdgeLatency
	Aggregated handoff/queue/transport timing between plugins or runtime nodes. More...
struct	MeasureInputStats
	Input-boundary telemetry captured during a measurement window. More...
struct	MeasureLatencyStats
	Percentile summary for a measured latency series. More...
struct	MeasureOptions
	Options for framework-owned runtime measurement. More...
struct	MeasurePathIdentity
struct	MeasurePathInterPluginGap
struct	MeasurePathNodeArrival
struct	MeasurePathOutputTail
struct	MeasurePathStat
struct	MeasurePathTiming
struct	MeasurePluginLatency
	Aggregated per-plugin/kernel timing captured during a measurement window. More...
struct	MeasureReport
	Framework-owned report returned by MeasureScope::stop(). More...
class	MeasureScope
	Observation scope for measuring an application-owned push/pull interval. More...
class	MetadataSender
struct	MetadataSenderOptions
struct	MetadataSenderSendOptions
struct	MetadataSenderStats
	Point-in-time diagnostics for one metadata sender. More...
class	Model
	Loaded form of a compiled model archive; the simplified entry point to run inference on Modalix. More...
struct	MultipartHeaderCaptureOptions
	Selects which multipart part headers are captured as per-frame attributes. More...
class	MultipartJpegDemux
	Demux multipart HTTP streams into per-part buffers. More...
struct	MultipartJpegDemuxOptions
	Construction options for MultipartJpegDemux. More...
class	NeatError
	Framework exception type carrying a structured GraphReport. More...
struct	NodeContractDefinition
	Bundle of port and field specs that fully describes a Node's contract. More...
struct	NodeLatencySummary
struct	NodeReport
	Per-Node entry in the report, listing what that Node produced in the GStreamer pipeline. More...
struct	NormalizeSpec
	Mean/stddev normalization parameters. More...
struct	Nv12Mapped
	Bundles an NV12 view with the Mapping that keeps its underlying buffer alive. More...
struct	Nv12View
	Non-owning view into NV12 pixel data: Y plane + interleaved UV plane. More...
class	Output
	Pull-side terminal sink. More...
struct	OutputOptions
	Buffering / sync options for the Output Node. More...
struct	OutputTensorOptions
	Options for Graph::add_output_tensor() — the tensor-friendly output helper. More...
class	PCIeSink
	Terminal sink Node that streams samples to a PCIe-connected host. More...
struct	PCIeSinkOptions
	Construction options for a PCIeSink Node. More...
class	PCIeSrc
	Source-role Node that receives samples from a PCIe-connected host. More...
struct	PCIeSrcOptions
	Construction options for a PCIeSrc Node. More...
struct	PcmAudio
struct	Plane
	One plane of a composite (multi-plane) tensor. More...
struct	PoseDecodeTensors
	Decoded pose tensors for one BoxDecode output tensor. More...
struct	PowerFieldReading
	One scalar rail field read from a PMIC. More...
struct	PowerFieldSummary
	Summary statistics for one scalar rail field. More...
class	PowerMonitor
	Background SOM power sampler. More...
struct	PowerMonitorOptions
	Options for a PowerMonitor. More...
struct	PowerRailConfig
	Configuration for one PMBus rail exposed by a paged PMIC. More...
struct	PowerRailReading
	Snapshot for one rail. More...
struct	PowerRailSummary
	Summary statistics for one rail. More...
struct	PowerSnapshot
	Point-in-time board power snapshot. More...
struct	PowerSummary
	Aggregated power monitor result. More...
struct	PreparedRunnerOptions
	Experimental prepared-route runner options. More...
struct	PreparedRuntimeBridgeAbiSizes
struct	PreparedRuntimeDescriptor
class	Preproc
	Fused CVU preprocessing Node — resize + color-convert + normalize (+ optional tess). More...
struct	PreprocessAffine
	Per-ROI 2×3 affine matrix from model/preprocessed coordinates to source-frame coordinates. More...
struct	PreprocessContract
	Per-input contract describing what the preprocess stage expects to receive. More...
struct	PreprocessExplicitKnobs
	Per-stage flags recording which preprocess fields the user set explicitly. More...
struct	PreprocessMetaContract
	Metadata-side contract — names and fields the preprocess stage requires. More...
struct	PreprocessMetaTemplate
	Preprocess metadata template attached to ingress buffers. More...
struct	PreprocessOptions
	User-facing preprocess intent — what the application asks for. More...
struct	PreprocessRoi
	One runtime ROI window consumed by preprocessing. More...
struct	PreprocessRuntimeMeta
	Per-buffer preprocessing context — the inverse-transform breadcrumb trail. More...
struct	PreprocOptions
	Construction options for a Preproc Node. More...
struct	ProcessCvuOptions
	Simple process-CVU backend placement for model pre/post stages. More...
struct	ProcessMlaOptions
	process-MLA execution options. More...
struct	PullError
	Structured error returned by Run::pull() when status is Error. More...
class	Quant
	CVU kernel Node that quantizes FP32 tensors to INT8 using scale + zero-point. More...
struct	QuantizeSpec
	INT8 (or other low-precision) quantization parameters. More...
struct	QuantOptions
	Construction options for a Quant Node. More...
struct	QuantSpec
	Quantization metadata for INT8/INT16 tensors. More...
class	QuantTess
	Fused CVU kernel Node: Quant (FP32→INT8) followed by Tess. More...
struct	QuantTessOptions
	Construction options for a QuantTess Node. More...
class	Queue
	Wraps GStreamer's queue element — inserts a thread/buffer boundary. More...
struct	QueueOptions
	Optional limits and overflow behavior for a Queue node. More...
struct	ResizeSpec
	Resize / letterbox / crop parameters. More...
struct	ResolvedPreprocessPlan
	Final resolved plan — what the framework actually compiled and runs. More...
class	RTPJpegDepacketize
	Depayloads RTP-encapsulated JPEG frames into image/jpeg buffers. More...
class	RTSPInput
	RTSP source Node — pulls a stream from an RTSP URL. More...
class	RtspServerHandle
	Live handle for a Graph running in RTSP server mode. More...
struct	RtspServerOptions
	Options for Graph::run_rtsp() — controls the RTSP server's mount point and ports. More...
class	Run
	Live pipeline handle: push inputs in, pull outputs out. More...
struct	RunAdvancedOptions
	Advanced runtime tuning knobs (most users never set these). More...
struct	RunAutoExportOptions
	Optional build-time Run JSON export. More...
struct	RunExportOptions
	Options for exporting a built Run as graph JSON. More...
struct	RunOptions
	Per-Run runtime options. More...
struct	Sample
	Typed payload returned by Run::pull() and consumed by Run::push(). More...
struct	Segment
	One named memory segment within a multi-segment tensor buffer (e.g., separate Y / UV planes). More...
struct	SegmentationDecodeTensors
	Decoded instance-segmentation tensors for one BoxDecode output tensor. More...
struct	SegmentationPoseDecodeTensors
	Decoded tensors for a BoxDecode output carrying masks and keypoints together. More...
struct	Semantic
	Discriminated union of "what this tensor represents". More...
class	SimaArgMax
	EV74 postprocess Node that emits the top-class index from a classification tensor. More...
struct	SimaArgMaxOptions
	Construction options for a SimaArgMax Node. More...
class	SimaBoxDecode
	Postprocess Node that converts detection-head tensors into task-specific results. More...
class	SimaDecode
	Hardware-accelerated native decoder node. More...
struct	SimaDecodeOptions
	Configuration for SimaDecode. More...
class	SimaRender
	Node that renders bounding-box overlays onto a video frame. More...
struct	SimaRenderOptions
	Construction options for a SimaRender Node. More...
class	StillImageInput
	Source Node that emits a single image as a continuous video stream. More...
struct	SuperPointOptions
	SuperPoint-specific BoxDecode options. Negative spatial knobs mean "use profile/MPK default". More...
struct	Tensor
	Universal tensor type — a labeled box of numbers that flows between Nodes. More...
struct	TensorBuffer
	Storage handle for a tensor — opaque container for one of four backing memory kinds. More...
struct	TensorConstraint
	Declarative tensor contract — describes the shape/dtype/device/format a tensor must satisfy. More...
struct	TensorRouteMeta
	Routing metadata that travels with a tensor through multi-output pipelines. More...
class	Tess
	CVU kernel Node that tessellates a natural-layout tensor into MLA tile geometry. More...
struct	TessellateSpec
	MLA tessellation (tile-shuffle) parameters. More...
struct	TessOptions
	Construction options for a Tess Node. More...
struct	TessSpec
	Tessellation metadata — tile geometry for the MLA's tile-block layout. More...
struct	TextSpec
	UTF-8 text tensor metadata. More...
struct	TokensSpec
	Token-tensor metadata for NLP-style tensors. More...
class	TrackDescriptor
struct	TrackDescriptorOptions
	FAST + BRIEF-style descriptor frontend options. More...
class	TrackKLT
struct	TrackKLTOptions
	Pyramidal Lucas-Kanade / KLT tracker options. More...
struct	Transform
	Discriminated union of all per-stage transform specs. More...
class	UdpOutput
	UDP sink Node — writes packets to a UDP destination. More...
struct	UdpOutputOptions
	Destination + sync options for the UdpOutput Node. More...
struct	ValidateOptions
	Options for Graph::validate(). More...
struct	ValidationContext
	Context passed to contracts during validation. More...
struct	ValidationIssue
	A single reported issue from a Contract. More...
class	ValidationReport
	Report produced by running a ContractRegistry. More...
struct	VerboseOptions
	Per-topic framework verbosity controls. More...
class	VideoConvert
	Wraps GStreamer's videoconvert. More...
class	VideoScale
	Wraps GStreamer's videoscale. More...
class	VideoTrackSelect
	Creates a qtdemux element and selects a specific video pad (e.g., demux.video_0). More...
struct	VisualFrontendCommonOptions
	Shared options for EV74 visual-frontend tensor Nodes. More...
struct	YoloXSegPoseOptions
	YOLOX segmentation/pose settings; other BoxDecode types reject a nonempty class list. More...

Typedefs Index

using	BusMessageFn = void(*)(const char *type, const char *src, const std::string &line, void *user_data)
	Callback invoked for every bus message drained. More...
using	BusErrorFn = void(*)(const std::string &line, void *user_data)
	Callback invoked when a bus error message is encountered. More...
using	TensorSpec = TensorConstraint
	Tensor specification used by the Model API. More...
using	BoxDecodeResultList = std::vector< BoxDecodeResult >
	List form used by public stage APIs; even single-image decode results travel as a list. More...
using	PoseDecodeTensorList = std::vector< PoseDecodeTensors >
using	SegmentationDecodeTensorList = std::vector< SegmentationDecodeTensors >
using	SegmentationPoseDecodeTensorList = std::vector< SegmentationPoseDecodeTensors >
using	FeaturePointTensorList = std::vector< FeaturePointTensors >
using	RuntimeNodeId = std::size_t
using	InputType = PayloadType
	Compatibility alias for code written during the InputOptions migration. More...
using	GraphRunAutoExportOptions = RunAutoExportOptions
	Backward-compatible name for the previous graph-run export option spelling. More...
using	GraphRunExportOptions = RunExportOptions
	Backward-compatible name for callers that still use the old graph-run terminology. More...
using	TensorList = std::vector< Tensor >
	Convenience alias for an ordered list of Tensors (multi-input/multi-output models). More...
using	Memory = TensorMemory
	Short public alias for memory placement in Tensor/Sample constructors. More...
using	ImageType = ImageSpec::PixelFormat
	Short public alias for image pixel format in Tensor/Sample constructors. More...
using	Storage = TensorBuffer
	Alias for backward-compatibility. New code prefers TensorBuffer directly. More...
using	SampleAttributes = std::map< std::string, std::string >
	Per-frame user attributes carried alongside a Sample. More...
using	ByteFormat = ByteStreamSpec::ByteFormat
	Convenience top-level alias for ByteStreamSpec::ByteFormat. More...

Enumerations Index

enum class	GraphTensorMaterializationKind : std::uint8_t { ... }
enum class	GraphProcessCvuTiledChannelEncoding : std::uint32_t { ... }
enum class	CastDirection { ... }
	Direction of the BF16/FP32 conversion performed by a Cast Node. More...
enum class	SimaDecodeType { ... }
	Encoded media type decoded by SimaDecode. More...
enum class	FeatureValueDType : std::uint8_t { ... }
enum class	FeaturePointsLayout : std::uint8_t { ... }
enum class	GraphLinkPolicy { ... }
	Runtime policy for a connection between two public Graph fragments. More...
enum class	PayloadType { ... }
	Semantic family of a payload flowing through a Graph. More...
enum class	MetricsTraceSource { ... }
	Metrics trace backend selection for framework-owned measurements. More...
enum class	SuperPointProfile : std::int32_t { ... }
	Numerical contract used by BoxDecodeType::SuperPoint. More...
enum class	SuperPointOutputFormat : std::int32_t { ... }
	Byte representation emitted by the SuperPoint BoxDecode backend. More...
enum class	TensorMemory { ... }
	Placement for Tensor creators that materialize owned storage. More...
enum class	MapMode { ... }
	Access mode for TensorBuffer::map(). More...
enum class	MemoryContract { ... }
	How a Node (or Graph) wants buffer memory to be sourced/handed back. More...
enum class	CapsMemory { ... }
	Memory class to advertise in GStreamer caps. More...
enum class	ContractFieldSource { ... }
	Where the value of a contract field originates. More...
enum class	ContractOverridePolicy { ... }
	Whether the Builder may override a contract field at build time. More...
enum class	ValidationSeverity { ... }
	Severity level for validation issues. More...
enum class	AutoFlag { ... }
	Tri-state knob: let the planner decide, force on, or force off. More...
enum class	InputKind { ... }
	What kind of input the user is feeding the preprocess pipeline. More...
enum class	ResizeMode { ... }
	How the resize stage maps non-matching input dimensions to the model's input shape. More...
enum class	PreprocessColorFormat { ... }
	Color format hint for the color-convert stage. More...
enum class	NormalizePreset { ... }
	Common normalize presets — convenient shorthand for famous mean/stddev pairs. More...
enum class	PreprocessGraphFamily { ... }
	Which preprocess graph family the planner selected. More...
enum class	TransformType { ... }
	Which transformation a Transform represents — used in user-supplied transform lists. More...
enum class	CombinePolicy { ... }
	How a public Graph output combines multiple named producers. More...
enum class	InputMemoryPolicy { ... }
	Where ingress buffers should be allocated when the application pushes samples. More...
enum class	BoxDecodeType : std::int32_t { ... }
	Decode families accepted by the BoxDecode backend. More...
enum class	BoxDecodeTypeOption : std::int32_t { ... }
	Tensor packing/layout option within a decode family. More...
enum class	BoxDecodeSourceStorage : std::int32_t { ... }
	Source byte layout of the head tensors feeding a BoxDecode stage. More...
enum class	FormatTag { ... }
	Identifies a media or tensor payload format. More...
enum class	VerbosityLevel { ... }
	Coarse-grained framework verbosity selector. More...
enum class	RunMode { ... }
	Internal timing mode a Run operates in. More...
enum class	SampleKind { ... }
	What kind of payload a Sample carries. More...
enum class	PullStatus { ... }
	Result status of Run::pull(). More...
enum class	PowerMonitorProfile { ... }
	Named board-level power monitor profiles. More...
enum class	RunPreset { ... }
	Convenience preset bundles for RunOptions. More...
enum class	OutputMemory { ... }
	How output Tensors relate to the underlying GStreamer buffers. More...
enum class	ConversionKind { ... }
	What kind of transformation a tensor conversion represents. More...
enum class	ConversionPolicy { ... }
	How strict the framework is about implicit tensor conversions. More...
enum class	DeviceType { ... }
	Where a tensor's data lives — which processor can read it directly. More...
enum class	StorageKind { ... }
	How a TensorBuffer's memory was acquired and how to access it. More...
enum class	PlaneRole { ... }
	Role of a plane within a composite (multi-plane) tensor. More...
enum class	TensorDType { ... }
	Element data type of a tensor. More...
enum class	TensorAxisSemantic : uint8_t { ... }
	Per-axis semantic tag — the long-term layout vocabulary. More...
enum class	TensorLayout { ... }
	Transition-only coarse layout token (HWC / CHW / HW). More...

Operators Index

std::ostream &	operator<< (std::ostream &os, const FormatSpec &spec)
	Stream-insert the canonical string form of spec. More...

Functions Index

const char *	to_string (ValidationSeverity s)
	Stable string label for a ValidationSeverity (for reports/logs). More...
std::string	gst_message_to_string (GstMessage *msg)
	Format a single GStreamer bus message into a stable, one-line string. More...
void	drain_bus (GstElement *pipeline, BusMessageFn on_message, void *user_data)
	Drain pending messages from the pipeline's bus, invoking on_message for each. More...
void	throw_if_bus_error (GstElement *pipeline, BusMessageFn on_message, void *user_data, BusErrorFn on_error, void *error_user_data)
	Drain the bus and throw a NeatError if any error message is found. More...
bool	element_exists (const char *factory)
	Returns true if a GStreamer element factory with factory name is registered. More...
bool	element_property_exists (const char *factory, const char *property_name)
	Returns true if factory exists and exposes a property named property_name. More...
std::string	factory_plugin_path (const char *factory)
	Returns the filesystem path of the plugin .so providing factory, or empty if unknown. More...
void	require_element (const char *factory, const char *context)
	Throw a NeatError if factory is not registered. More...
void	require_tensordecoder (const char *context)
	Throw a NeatError if SiMa's tensordecoder element is not available. More...
void	gst_init_once ()
	Initialize GStreamer exactly once across the process. More...
const PreparedRuntimeBridgeAbiSizes *	sima_neat_prepared_runtime_bridge_abi_sizes ()
const GraphProcessCvuPreparedBridgeAbiV2 *	sima_neat_graph_processcvu_prepared_bridge_abi_v2 ()
bool	sima_neat_build_graph_processcvu_prepared_stage_v2 (const GraphProcessCvuStageRequestV2 *request, simaai::gst::ProcessCvuPreparedStage *out, std::string *error_message=nullptr)
bool	prepare_processmla_runtime_config (ProcessMlaRuntimeConfig *runtime_cfg, std::string *error_message=nullptr)
bool	build_graph_processmla_prepared_stage (const GraphProcessMlaStageRequest &request, simaai::gst::ProcessMlaPreparedStage *out, std::string *error_message=nullptr)
bool	build_graph_processcvu_prepared_stage (const GraphProcessCvuStageRequest &request, simaai::gst::ProcessCvuPreparedStage *out, std::string *error_message=nullptr)
bool	build_prepared_stage_from_manifest_context (const GstContext *static_manifest_context, const char *stage_id_or_name, const char *element_name_fallback, simaai::gst::PreparedStageSpec *out, std::string *error_message=nullptr)
bool	attach_prepared_runtime_context (GstElement *pipeline, PreparedRuntimeDescriptor prepared_runtime, std::string *error_message=nullptr)
void	prewarm_runtime ()
	Initialize NEAT's runtime substrate early. More...
std::future< void >	prewarm_runtime_async ()
	Start NEAT runtime prewarm on a background thread. More...
std::string	resolve_input_media_type (const InputOptions &opt)
	Resolve the internal caps media type requested by public InputOptions. More...
constexpr const char *	box_decode_source_storage_token (BoxDecodeSourceStorage storage)
	Stable lower-case token for an explicit source-storage selection (diagnostics/docs). More...
constexpr const char *	box_decode_type_token (BoxDecodeType type)
	Stable lower-case token for a decode family (used in caps, manifests, logs). More...
constexpr const char *	box_decode_type_option_token (BoxDecodeTypeOption option)
	Stable lower-case token for a decode-layout option. More...
constexpr bool	box_decode_type_is_yolo_family (BoxDecodeType type)
	True iff type is one of the YOLO-family detection or segmentation variants. More...
constexpr bool	box_decode_type_is_ssd_family (BoxDecodeType type)
	True iff type selects the SSD decode family. More...
constexpr bool	box_decode_type_is_segmentation (BoxDecodeType type)
	True iff type is a segmentation variant (carries a mask head). More...
constexpr bool	box_decode_type_is_pose (BoxDecodeType type)
	True iff type is a pose-estimation variant (carries keypoint heads). More...
constexpr const char *	box_decode_type_contract_summary (BoxDecodeType type)
	Human-readable summary of type's tensor contract, used in API/docs/error surfaces. More...
bool	detection_format_is_bbox (const std::string &format)
	True iff format names the plain BBOX detection wire format. More...
bool	detection_format_is_pose (const std::string &format)
	True iff format names a BoxDecode pose wire format. More...
bool	detection_format_is_segmentation (const std::string &format)
	True iff format names a BoxDecode segmentation wire format. More...
bool	detection_format_is_segmentation_pose (const std::string &format)
	True iff format is any BoxDecode format whose leading payload is BBOX records. More...
bool	detection_format_is_bbox_family (const std::string &format)
SegmentationPoseDecodeTensors	decode_segmentation_pose_tensor (const simaai::neat::Tensor &tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode a combined segmentation + pose BoxDecode payload. More...
SegmentationPoseDecodeTensorList	decode_segmentation_pose (const simaai::neat::TensorList &tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
std::vector< Box >	parse_bbox_bytes (const std::vector< uint8_t > &bytes, int img_w, int img_h, int expected_topk, bool strict)
	Parse a packed BBOX byte payload into typed Box records. More...
BoxDecodeResult	decode_bbox_tensor (const simaai::neat::Tensor &tensor, int img_w, int img_h, int expected_topk, bool strict)
	Decode a BBOX-format Tensor into a BoxDecodeResult. More...
simaai::neat::Tensor	boxes_to_tensor (const std::vector< Box > &boxes)
	Build a decoded-boxes Tensor from parsed Box records. More...
simaai::neat::TensorList	decode_bbox (const simaai::neat::TensorList &bbox_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode a list of BBOX-format tensors into a list of decoded-boxes tensors. More...
PoseDecodeTensors	decode_pose_tensor (const simaai::neat::Tensor &tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode one BoxDecode pose payload into boxes and keypoints tensors. More...
PoseDecodeTensorList	decode_pose (const simaai::neat::TensorList &pose_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode a list of BoxDecode pose tensors, positional 1:1. More...
SegmentationDecodeTensors	decode_segmentation_tensor (const simaai::neat::Tensor &tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode one BoxDecode segmentation payload into boxes and masks tensors. More...
SegmentationDecodeTensorList	decode_segmentation (const simaai::neat::TensorList &segmentation_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)
	Decode a list of BoxDecode segmentation tensors, positional 1:1. More...
void	tag_detection_format (simaai::neat::Tensor &tensor, std::string format)
	Tag a tensor as carrying a detection-decoder wire format. More...
std::string	read_detection_format (const simaai::neat::Tensor &tensor)
	Read the detection-format token from a tensor, if present. More...
void	tag_detection_format_in_sample (simaai::neat::Sample &sample)
	Walk a Sample tree and tag every recognized BBOX-payload Tensor with semantic.detection.format = "BBOX". More...
simaai::neat::EncodedSpec::Codec	caps_to_codec (const std::string &caps_string)
	Map a GStreamer-style caps string to an EncodedSpec::Codec value. More...
Sample	make_encoded_sample (std::vector< uint8_t > bytes, std::string caps_string, int64_t pts_ns=-1, int64_t dts_ns=-1, int64_t duration_ns=-1)
	Build an encoded Sample from raw bytes and caps metadata. More...
FeaturePointTensors	decode_superpoint_tensor (const Tensor &tensor)
	Parse a V1 tensor, or the explicit legacy V0 representation when its feature tag says so. More...
FeaturePointTensorList	decode_superpoint (const TensorList &tensors)
	Positional one-to-one list form of decode_superpoint_tensor. More...
void	tag_feature_format (Tensor &tensor, std::string format)
std::string	read_feature_format (const Tensor &tensor)
void	tag_feature_format_in_sample (Sample &sample)
const char *	format_tag_name (FormatTag tag)
	Stable, canonical string token for tag (empty string for Auto). More...
std::string	format_tag_to_string (FormatTag tag)
	std::string form of the canonical format token. More...
std::string	upper_copy_ascii (std::string value)
	ASCII upper-case copy of value (does not touch non-ASCII bytes). More...
bool	tensor_format_is_bf16_alias (std::string value)
	True iff value names BF16 (any of BF16, BFLOAT16, EVXX_BF16, EVXX_BFLOAT16). More...
bool	tensor_format_is_fp32_alias (std::string value)
	True iff value names FP32 (FP32, FLOAT32, EVXX_FLOAT32). More...
bool	tensor_format_is_int8_alias (std::string value)
	True iff value names INT8 (INT8, EVXX_INT8). More...
bool	tensor_format_is_int16_alias (std::string value)
	True iff value names INT16 (INT16, EVXX_INT16). More...
bool	tensor_format_is_int32_alias (std::string value)
	True iff value names INT32 (INT32, EVXX_INT32). More...
std::string	normalize_tensor_caps_format (std::string value)
	Normalize tensor format aliases to the canonical EVXX_* token. More...
std::string	normalize_caps_format_for_media (std::string media_type, std::string format)
	Normalize a caps-format string conditionally on its media type. More...
FormatTag	format_tag_from_string (const std::string &value)
	Parse a string token to a FormatTag; unknown values map to Auto. More...
bool	is_raw_video_format (FormatTag tag)
	True iff tag names a raw (uncompressed) video format. More...
bool	is_tensor_payload_format (FormatTag tag)
	True iff tag names a tensor payload (MLA, BBOX, ARGMAX, dtype kinds, EVXX aliases). More...
PayloadType	sample_payload_type (const Sample &sample)
	Return a Sample's standardized payload family, falling back from legacy media_type. More...
std::string	sample_media_type (const Sample &sample)
	Return the internal media type corresponding to a Sample's payload family. More...
Sample	make_tensor_sample (const std::string &port_name, simaai::neat::Tensor tensor)
	Construct a TensorSet-kind Sample wrapping a single Tensor for the named port. More...
Sample	make_bundle_sample (std::initializer_list< Sample > fields)
	Construct a Bundle-kind Sample whose payload is the given list of inner Samples. More...
bool	sample_is_multi_output (const Sample &sample)
	Returns true if the sample carries multiple outputs (Bundle, or TensorSet with size > 1). More...
bool	sample_has_tensor_list (const Sample &sample)
	Returns true if the sample is a TensorSet with at least one tensor. More...
TensorList &	sample_tensor_list (Sample &sample, const char *where=nullptr)
	Mutable reference to the sample's tensor list. Throws NeatError if kind != TensorSet. More...
const TensorList &	sample_tensor_list (const Sample &sample, const char *where=nullptr)
	Const reference to the sample's tensor list. Throws NeatError if kind != TensorSet. More...
Tensor &	require_single_tensor (Sample &sample, const char *where=nullptr)
	Returns the sample's single Tensor; throws if the sample carries 0 or >1 tensors. More...
const Tensor &	require_single_tensor (const Sample &sample, const char *where=nullptr)
	Const variant of require_single_tensor. More...
TensorList	tensors_from_sample (const Sample &sample, bool require_nonempty=true)
	Extract all tensors from any sample shape (Tensor, TensorSet, Bundle); flattens recursively. More...
Sample	sample_from_tensors (const TensorList &tensors)
	Construct a TensorSet sample from a list of tensors. More...
PayloadType	payload_type_from_media_type (std::string_view media_type)
	Convert an internal/legacy caps media string to the public payload family. More...
PayloadType	input_type_from_media_type (std::string_view media_type)
	Legacy helper name kept as a source-compatible bridge. More...
std::string	media_type_from_payload_type (PayloadType payload_type)
	Convert a payload family to the canonical internal media type when one exists. More...
std::string	run_to_json (const Run &run, const RunExportOptions &opt={}, std::string *err=nullptr)
	Serialize a built Run to sima.neat.graph_run JSON. Returns empty string on error. More...
std::string	run_to_json (const Run &run, const MeasureReport &report, const RunExportOptions &opt={}, std::string *err=nullptr)
	Serialize a built Run plus a measurement-window report to graph JSON. More...
bool	save_run_json (const Run &run, const std::string &path, const RunExportOptions &opt={}, std::string *err=nullptr)
	Atomically write run_to_json(run, opt) to path using path + ".tmp" then rename. More...
bool	save_run_json (const Run &run, const MeasureReport &report, const std::string &path, const RunExportOptions &opt={}, std::string *err=nullptr)
	Atomically write run_to_json(run, report, opt) to path. More...
std::string	graph_run_to_json (const Run &run, const GraphRunExportOptions &opt={}, std::string *err=nullptr)
	Compatibility wrapper for existing graph-run JSON call sites. More...
std::string	graph_run_to_json (const Run &run, const MeasureReport &report, const GraphRunExportOptions &opt={}, std::string *err=nullptr)
	Compatibility wrapper for measured graph-run JSON call sites. More...
bool	save_graph_run_json (const Run &run, const std::string &path, const GraphRunExportOptions &opt={}, std::string *err=nullptr)
	Compatibility wrapper for existing graph-run JSON call sites. More...
bool	save_graph_run_json (const Run &run, const MeasureReport &report, const std::string &path, const GraphRunExportOptions &opt={}, std::string *err=nullptr)
	Compatibility wrapper for measured graph-run JSON call sites. More...
constexpr const char *	superpoint_profile_token (SuperPointProfile profile)
constexpr const char *	superpoint_output_format_token (SuperPointOutputFormat format)
Tensor	from_gst_sample (GstSample *sample)
PcmAudio	tensor_to_pcm_audio (const Tensor &tensor)
ConversionCost	estimate_conversion_cost (ConversionKind kind, std::uint64_t bytes_copied)
	Estimate the cost (bytes + compute class) of a conversion of the given kind moving bytes_copied bytes. More...
bool	conversion_allowed (ConversionPolicy policy, ConversionKind kind)
	Returns true if the policy allows a conversion of this kind (without performing it). More...
std::shared_ptr< TensorBuffer >	make_cpu_owned_storage (std::size_t size_bytes)
	Allocate a CPU-owned heap buffer of size_bytes, initialized to zero. More...
std::shared_ptr< TensorBuffer >	make_cpu_external_storage (void *data, std::size_t size_bytes, std::shared_ptr< void > holder={}, bool read_only=true)
	Wrap a foreign CPU pointer as a TensorBuffer without copying. More...
bool	is_tessellated_int8_format (const std::string &fmt)
	True iff fmt names an INT8 tessellated tensor format string. More...
bool	is_tessellated_bf16_format (const std::string &fmt)
	True iff fmt names a BF16 tessellated tensor format string. More...
std::vector< std::string >	normalize_multipart_header_capture (const MultipartHeaderCaptureOptions &opt)
	Normalize and validate a header-capture allowlist. More...
std::vector< PowerRailConfig >	default_modalix_som_power_rails ()
	Default Modalix SOM PMIC rail table from the board measurement scripts. More...
std::vector< PowerRailConfig >	default_modalix_dvt_power_rails ()
	Default Modalix DVT PMIC rail table. More...
PowerMonitorProfile	detect_default_power_monitor_profile ()
	Detect the most likely built-in board power profile for the current host. More...
std::string	power_monitor_profile_name (PowerMonitorProfile profile)
	Human-readable name for a power monitor profile. More...
std::vector< PowerRailConfig >	power_rails_for_profile (PowerMonitorProfile profile)
	Resolve a built-in board profile to its rail table. More...
PowerMonitorOptions	board_power_monitor_options (int sample_interval_ms=100, PowerMonitorProfile profile=PowerMonitorProfile::Auto)
	Convenience options enabling board power monitoring with optional auto-detect. More...
PowerMonitorOptions	modalix_som_power_monitor_options (int sample_interval_ms=100)
	Convenience options enabling Modalix SOM power monitoring. More...
PowerMonitorOptions	modalix_dvt_power_monitor_options (int sample_interval_ms=100)
	Convenience options enabling Modalix DVT power monitoring. More...
PowerSnapshot	read_power_snapshot (const PowerMonitorOptions &options)
	Read one immediate power snapshot using native Linux I2C access. More...
std::string	format_power_summary (const PowerSummary &summary)
	Format a compact human-readable power summary. More...
std::string	power_summary_to_json (const PowerSummary &summary, int indent=2)
	Format power summary as a JSON object. More...

Variables Index

constexpr std::uint32_t	GRAPH_PROCESSCVU_PREPARED_BRIDGE_ABI_VERSION_V2 = 2U
constexpr std::size_t	kMultipartHeaderCaptureMaxHeaders = 64U
	Maximum number of distinct header names one capture allowlist may select. More...
constexpr std::size_t	kMultipartHeaderCaptureMaxNameBytes = 128U
	Maximum length, in bytes, of a single selected header name. More...
constexpr std::size_t	kMultipartHeaderCaptureMaxLineBytes = 8U * 1024U
	Maximum length, in bytes, of one header line inside a multipart part header block. More...
constexpr std::size_t	kMultipartHeaderCaptureMaxBlockBytes = 64U * 1024U
	Maximum total size, in bytes, of one multipart part header block. More...
constexpr char	kDetectionFormatBbox[] = "BBOX"
	Canonical detection-format token for BoxDecode bounding-box payloads. More...
constexpr char	kDetectionFormatBboxPose[] = "BBOX_POSE"
	Canonical detection-format token for BoxDecode pose payloads. More...
constexpr char	kDetectionFormatBboxSegmentation[] = "BBOX_SEGMENTATION"
	Canonical detection-format token for BoxDecode instance-segmentation payloads. More...
constexpr char	kDetectionFormatBboxSegmentationPose[] = "BBOX_SEGMENTATION_POSE"
	Canonical detection-format token for BoxDecode payloads carrying masks AND keypoints. More...
constexpr int64_t	kDecodedPoseKeypoints = 17
	Number of keypoints emitted by the BoxDecode pose wire format. More...
constexpr int64_t	kDecodedPoseColumns = 3
	Number of values per keypoint: x, y, visibility. More...
constexpr int64_t	kDecodedMaskWidth = 160
	Width of each BoxDecode instance mask. More...
constexpr int64_t	kDecodedMaskHeight = 160
	Height of each BoxDecode instance mask. More...
constexpr int64_t	kDecodedBoxColumns = 6
	Number of columns in a decoded-boxes tensor: x1, y1, x2, y2, score, class_id. More...
constexpr char	kFeatureFormatPointsV1[] = "FEATURE_POINTS_V1"
constexpr char	kFeatureFormatLegacyA65V0[] = "FEATURE_POINTS_LEGACY_A65_V0"
constexpr std::uint32_t	kFeaturePointsMagicV1 = 0x31565046U
static constexpr RuntimeNodeId	kInvalidRuntimeNodeId = static_cast<RuntimeNodeId>(-1)

Typedefs

BoxDecodeResultList

using simaai::neat::BoxDecodeResultList = typedef std::vector<BoxDecodeResult>

List form used by public stage APIs; even single-image decode results travel as a list.

Definition at line 59 of file DetectionTypes.h.

BusErrorFn

using simaai::neat::BusErrorFn = typedef void (*)(const std::string& line, void* user_data)

Callback invoked when a bus error message is encountered.

Definition at line 36 of file GstBusWatch.h.

BusMessageFn

using simaai::neat::BusMessageFn = typedef void (*)(const char* type, const char* src, const std::string& line, void* user_data)

Callback invoked for every bus message drained.

Parameters

type	GStreamer message type as a stable string (e.g., "warning", "info").
src	Name of the element that posted the message, or empty.
line	Pre-formatted single-line summary of the message.
user_data	Opaque pointer the caller registered.

Definition at line 32 of file GstBusWatch.h.

FeaturePointTensorList

using simaai::neat::FeaturePointTensorList = typedef std::vector<FeaturePointTensors>

Definition at line 64 of file FeatureTypes.h.

GraphRunAutoExportOptions

using simaai::neat::GraphRunAutoExportOptions = typedef RunAutoExportOptions

Backward-compatible name for the previous graph-run export option spelling.

Definition at line 140 of file Run.h.

GraphRunExportOptions

using simaai::neat::GraphRunExportOptions = typedef RunExportOptions

Backward-compatible name for callers that still use the old graph-run terminology.

Definition at line 44 of file RunExport.h.

ImageType

using simaai::neat::ImageType = typedef ImageSpec::PixelFormat

Short public alias for image pixel format in Tensor/Sample constructors.

Definition at line 155 of file TensorCore.h.

InputType

using simaai::neat::InputType = typedef PayloadType

Compatibility alias for code written during the InputOptions migration.

Definition at line 28 of file PayloadType.h.

Memory

using simaai::neat::Memory = typedef TensorMemory

Short public alias for memory placement in Tensor/Sample constructors.

Definition at line 106 of file TensorCore.h.

PoseDecodeTensorList

using simaai::neat::PoseDecodeTensorList = typedef std::vector<PoseDecodeTensors>

Definition at line 126 of file DetectionTypes.h.

RuntimeNodeId

using simaai::neat::RuntimeNodeId = typedef std::size_t

Definition at line 23 of file GraphMetrics.h.

SegmentationDecodeTensorList

using simaai::neat::SegmentationDecodeTensorList = typedef std::vector<SegmentationDecodeTensors>

Definition at line 127 of file DetectionTypes.h.

SegmentationPoseDecodeTensorList

using simaai::neat::SegmentationPoseDecodeTensorList = typedef std::vector<SegmentationPoseDecodeTensors>

Definition at line 128 of file DetectionTypes.h.

Storage

using simaai::neat::Storage = typedef TensorBuffer

Alias for backward-compatibility. New code prefers TensorBuffer directly.

Definition at line 543 of file TensorCore.h.

TensorList

using simaai::neat::TensorList = typedef std::vector<Tensor>

Convenience alias for an ordered list of Tensors (multi-input/multi-output models).

Definition at line 23 of file Tensor.h.

TensorSpec

using simaai::neat::TensorSpec = typedef TensorConstraint

Tensor specification used by the Model API.

Definition at line 51 of file Model.h.

Enumerations

CastDirection

enum class simaai::neat::CastDirection

strong

Direction of the BF16/FP32 conversion performed by a Cast Node.

Enumeration values

Bf16ToFp32	Read BF16, emit FP32 (typical post-MLA path) (= 0)
Fp32ToBf16	Read FP32, emit BF16 (typical pre-MLA path) (= 1)

Definition at line 30 of file Cast.h.

FeaturePointsLayout

enum class simaai::neat::FeaturePointsLayout : std::uint8_t

strong

Enumeration values

StructureOfArrays

(= 1)

Definition at line 28 of file FeatureTypes.h.

FeatureValueDType

enum class simaai::neat::FeatureValueDType : std::uint8_t

strong

Enumeration values

Int8	(= 1)
BFloat16	(= 2)
Float32	(= 3)

Definition at line 22 of file FeatureTypes.h.

GraphLinkPolicy

enum class simaai::neat::GraphLinkPolicy

strong

Runtime policy for a connection between two public Graph fragments.

Enumeration values

Default	(= 0)
RealtimeLatestByStream

Default preserves lossless/backpressure semantics for ordinary one-to-one edges. If multiple producers connect to the same live public input, the framework promotes those edges to RealtimeLatestByStream automatically so users do not need app-local fan-in mutex code. RealtimeLatestByStream keeps producers non-blocking, retains only the latest frame per Sample::stream_id (or per source edge when the stream id is empty), and schedules ready streams fairly into the downstream graph. Ordinary Graph::build() automatically chooses fused lowering for eligible live fan-in.

Definition at line 56 of file GraphOptions.h.

GraphProcessCvuTiledChannelEncoding

enum class simaai::neat::GraphProcessCvuTiledChannelEncoding : std::uint32_t

strong

Enumeration values

CompactPixelMajor	(= 1U)
PaddedHwcC16	(= 2U)
CBlock16	(= 3U)

Definition at line 139 of file PreparedRuntimeBridge.h.

GraphTensorMaterializationKind

enum class simaai::neat::GraphTensorMaterializationKind : std::uint8_t

strong

Enumeration values

Unknown	(= 0)
Direct	(= 1)
OffsetView	(= 2)
Bf16LaneSplitRepack	(= 3)

Definition at line 34 of file PreparedRuntimeBridge.h.

MapMode

enum class simaai::neat::MapMode

strong

Access mode for TensorBuffer::map().

Enumeration values

Read	Read-only map; framework may skip cache invalidation if known clean (= 0)
Write	Write-only map; framework may skip read-back; flushes cache on unmap
ReadWrite	Both directions; framework treats as full ownership transfer for the mapping's lifetime

Affects whether the framework treats the mapping as read or write.

Definition at line 125 of file TensorCore.h.

MetricsTraceSource

enum class simaai::neat::MetricsTraceSource

strong

Metrics trace backend selection for framework-owned measurements.

Enumeration values

Auto
Off
Lttng

Auto prefers the low-overhead LTTng collector. If LTTng is unavailable the report marks the requested metric class as unavailable; it does not silently fall back to a second metrics backend.

Definition at line 277 of file Run.h.

PayloadType

enum class simaai::neat::PayloadType

strong

Semantic family of a payload flowing through a Graph.

Enumeration values

Auto	Infer from tensor/sample metadata when possible (= 0)
Image	Decoded image pixels (video/x-raw internally)
Tensor	Tensor payload (application/vnd.simaai.tensor internally)
Encoded	Encoded video/byte-stream payloads such as H.264, H.265, or JPEG

PayloadType is intentionally neutral: the same enum describes an input option, a pushed/pulled Sample, and a boundary contract. GStreamer media strings are an internal transport detail derived from this enum at the adapter boundary.

Definition at line 20 of file PayloadType.h.

SimaDecodeType

enum class simaai::neat::SimaDecodeType

strong

Encoded media type decoded by SimaDecode.

Enumeration values

H264	H.264 elementary stream (= 0)
AVC	Alias for H.264 (= H264)
JPEG	Single JPEG frame (= 1)
MJPEG	JPEG-frame video stream after framing/depacketization (= 2)
H265	H.265/HEVC Main 8-bit 4:2:0 elementary stream (= 3)
HEVC	Alias for H.265 (= H265)

Definition at line 19 of file SimaDecode.h.

SuperPointOutputFormat

enum class simaai::neat::SuperPointOutputFormat : std::int32_t

strong

Byte representation emitted by the SuperPoint BoxDecode backend.

Enumeration values

FeaturePointsV1	(= 1)
LegacyA65InterleavedV0	(= 2)

Definition at line 29 of file SuperPointTypes.h.

SuperPointProfile

enum class simaai::neat::SuperPointProfile : std::int32_t

strong

Numerical contract used by BoxDecodeType::SuperPoint.

Enumeration values

Auto	(= 0)
LightGlueV1	(= 1)
MagicLeapDemoV1	(= 2)
PaperBicubicV1	(= 3)
A65V1	(= 4)

Auto is a construction-time sentinel. It selects authoritative MPK metadata when present and otherwise resolves to A65V1; it is never inferred from tensor geometry or values and must not reach the runtime backend.

Definition at line 20 of file SuperPointTypes.h.

TensorMemory

enum class simaai::neat::TensorMemory

strong

Placement for Tensor creators that materialize owned storage.

Enumeration values

EV74	(= 0)
CPU
MLA
A65
Auto

The default for new owning creators is EV74: DDR allocated from the SiMa allocator in the EV74-addressable window (not EV74 VCCM). Use CPU for ordinary malloc-backed host tensors, or MLA for DMS0-backed tensors when the runtime allocator is available.

Definition at line 97 of file TensorCore.h.

Operators

operator<<()

std::ostream & simaai::neat::operator<< (std::ostream & os, const FormatSpec & spec)

inline

Stream-insert the canonical string form of spec.

Definition at line 341 of file FormatSpec.h.

Functions

attach_prepared_runtime_context()

bool simaai::neat::attach_prepared_runtime_context (GstElement * pipeline, PreparedRuntimeDescriptor prepared_runtime, std::string * error_message=nullptr)

Definition at line 195 of file PreparedRuntimeBridge.h.

box_decode_source_storage_token()

constexpr const char * simaai::neat::box_decode_source_storage_token (BoxDecodeSourceStorage storage)

constexpr

Stable lower-case token for an explicit source-storage selection (diagnostics/docs).

Definition at line 127 of file BoxDecodeType.h.

box_decode_type_contract_summary()

constexpr const char * simaai::neat::box_decode_type_contract_summary (BoxDecodeType type)

constexpr

Human-readable summary of type's tensor contract, used in API/docs/error surfaces.

Definition at line 333 of file BoxDecodeType.h.

box_decode_type_is_pose()

constexpr bool simaai::neat::box_decode_type_is_pose (BoxDecodeType type)

constexpr

True iff type is a pose-estimation variant (carries keypoint heads).

Definition at line 297 of file BoxDecodeType.h.

box_decode_type_is_segmentation()

constexpr bool simaai::neat::box_decode_type_is_segmentation (BoxDecodeType type)

constexpr

True iff type is a segmentation variant (carries a mask head).

Definition at line 263 of file BoxDecodeType.h.

box_decode_type_is_ssd_family()

constexpr bool simaai::neat::box_decode_type_is_ssd_family (BoxDecodeType type)

constexpr

True iff type selects the SSD decode family.

Definition at line 258 of file BoxDecodeType.h.

box_decode_type_is_yolo_family()

constexpr bool simaai::neat::box_decode_type_is_yolo_family (BoxDecodeType type)

constexpr

True iff type is one of the YOLO-family detection or segmentation variants.

Definition at line 224 of file BoxDecodeType.h.

box_decode_type_option_token()

constexpr const char * simaai::neat::box_decode_type_option_token (BoxDecodeTypeOption option)

constexpr

Stable lower-case token for a decode-layout option.

Definition at line 196 of file BoxDecodeType.h.

box_decode_type_token()

constexpr const char * simaai::neat::box_decode_type_token (BoxDecodeType type)

constexpr

Stable lower-case token for a decode family (used in caps, manifests, logs).

Definition at line 139 of file BoxDecodeType.h.

boxes_to_tensor()

simaai::neat::Tensor simaai::neat::boxes_to_tensor (const std::vector< Box > & boxes)

Build a decoded-boxes Tensor from parsed Box records.

Produces a dense CPU float32 tensor of shape [boxes.size(), 6]. Columns are x1, y1, x2, y2, score, class_id (class_id stored as float; exact for the integer range).

Definition at line 196 of file DetectionTypes.h.

build_graph_processcvu_prepared_stage()

bool simaai::neat::build_graph_processcvu_prepared_stage (const GraphProcessCvuStageRequest & request, simaai::gst::ProcessCvuPreparedStage * out, std::string * error_message=nullptr)

Definition at line 185 of file PreparedRuntimeBridge.h.

build_graph_processmla_prepared_stage()

bool simaai::neat::build_graph_processmla_prepared_stage (const GraphProcessMlaStageRequest & request, simaai::gst::ProcessMlaPreparedStage * out, std::string * error_message=nullptr)

Definition at line 181 of file PreparedRuntimeBridge.h.

build_prepared_stage_from_manifest_context()

bool simaai::neat::build_prepared_stage_from_manifest_context (const GstContext * static_manifest_context, const char * stage_id_or_name, const char * element_name_fallback, simaai::gst::PreparedStageSpec * out, std::string * error_message=nullptr)

Definition at line 189 of file PreparedRuntimeBridge.h.

caps_to_codec()

simaai::neat::EncodedSpec::Codec simaai::neat::caps_to_codec (const std::string & caps_string)

Map a GStreamer-style caps string to an EncodedSpec::Codec value.

Parameters

caps_string

GStreamer caps string (e.g., "video/x-h264, ...").

Returns

Matching codec enum, or the codec-unspecified sentinel if no match.

Definition at line 31 of file EncodedSampleUtil.h.

conversion_allowed()

bool simaai::neat::conversion_allowed (ConversionPolicy policy, ConversionKind kind)

Returns true if the policy allows a conversion of this kind (without performing it).

Definition at line 95 of file TensorConversion.h.

decode_bbox()

simaai::neat::TensorList simaai::neat::decode_bbox (const simaai::neat::TensorList & bbox_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode a list of BBOX-format tensors into a list of decoded-boxes tensors.

Positional, 1:1 — output [i] is the decode of input [i]. Each output is a dense CPU float32 tensor of shape [num_detections, 6] (columns x1, y1, x2, y2, score, class_id).

Every input tensor must be BBOX-format (semantic.detection.format == "BBOX"); a tensor that is not raises (no silent skip).

Parameters

bbox_tensors	The BBOX-format tensors (e.g. a model's run output).
img_w	Optional source width to clamp coordinates to (0 = no clamp).
img_h	Optional source height to clamp coordinates to (0 = no clamp).
top_k	Optional cap on detections per tensor (0 = no cap).
strict	When true, malformed buffers throw instead of best-effort parsing.

Returns

A TensorList of the same length as bbox_tensors.

Definition at line 214 of file DetectionTypes.h.

decode_bbox_tensor()

BoxDecodeResult simaai::neat::decode_bbox_tensor (const simaai::neat::Tensor & tensor, int img_w, int img_h, int expected_topk, bool strict)

Decode a BBOX-format Tensor into a BoxDecodeResult.

Convenience wrapper that maps the tensor, parses bytes via parse_bbox_bytes, and retains the raw byte view alongside the typed boxes.

Parameters

tensor	Tensor whose payload is a BBOX byte stream.
img_w	Original image width used to clamp/scale coordinates.
img_h	Original image height used to clamp/scale coordinates.
expected_topk	Number of detections expected (advisory; see strict).
strict	If true, mismatches against expected_topk throw.

Returns

Parsed detections plus retained raw bytes.

Definition at line 184 of file DetectionTypes.h.

decode_pose()

PoseDecodeTensorList simaai::neat::decode_pose (const simaai::neat::TensorList & pose_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode a list of BoxDecode pose tensors, positional 1:1.

Definition at line 230 of file DetectionTypes.h.

decode_pose_tensor()

PoseDecodeTensors simaai::neat::decode_pose_tensor (const simaai::neat::Tensor & tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode one BoxDecode pose payload into boxes and keypoints tensors.

The source wire layout is the existing BoxDecode pose payload: uint32 count + top_k × BBOX + top_k × PoseOut. The returned boxes tensor has shape [N, 6]; the returned keypoints tensor has shape [N, 17, 3].

Definition at line 224 of file DetectionTypes.h.

decode_segmentation()

SegmentationDecodeTensorList simaai::neat::decode_segmentation (const simaai::neat::TensorList & segmentation_tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode a list of BoxDecode segmentation tensors, positional 1:1.

Definition at line 249 of file DetectionTypes.h.

decode_segmentation_pose()

SegmentationPoseDecodeTensorList simaai::neat::decode_segmentation_pose (const simaai::neat::TensorList & tensors, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Definition at line 154 of file DetectionTypes.h.

decode_segmentation_pose_tensor()

SegmentationPoseDecodeTensors simaai::neat::decode_segmentation_pose_tensor (const simaai::neat::Tensor & tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode a combined segmentation + pose BoxDecode payload.

Same contract as decode_segmentation_tensor and decode_pose_tensor, for a payload that carries both extension regions.

Definition at line 150 of file DetectionTypes.h.

decode_segmentation_tensor()

SegmentationDecodeTensors simaai::neat::decode_segmentation_tensor (const simaai::neat::Tensor & tensor, int img_w=0, int img_h=0, int top_k=0, bool strict=false)

Decode one BoxDecode segmentation payload into boxes and masks tensors.

The source wire layout is the existing BoxDecode segmentation payload: uint32 count + top_k × BBOX + top_k × 160 × 160 uint8 masks. The returned boxes tensor has shape [N, 6]; the returned masks tensor has shape [N, 160, 160].

Definition at line 241 of file DetectionTypes.h.

decode_superpoint()

FeaturePointTensorList simaai::neat::decode_superpoint (const TensorList & tensors)

Positional one-to-one list form of decode_superpoint_tensor.

Definition at line 70 of file FeatureTypes.h.

decode_superpoint_tensor()

FeaturePointTensors simaai::neat::decode_superpoint_tensor (const Tensor & tensor)

Parse a V1 tensor, or the explicit legacy V0 representation when its feature tag says so.

Definition at line 67 of file FeatureTypes.h.

detection_format_is_bbox()

bool simaai::neat::detection_format_is_bbox (const std::string & format)

True iff format names the plain BBOX detection wire format.

Definition at line 131 of file DetectionTypes.h.

detection_format_is_bbox_family()

bool simaai::neat::detection_format_is_bbox_family (const std::string & format)

Definition at line 142 of file DetectionTypes.h.

detection_format_is_pose()

bool simaai::neat::detection_format_is_pose (const std::string & format)

True iff format names a BoxDecode pose wire format.

Definition at line 134 of file DetectionTypes.h.

detection_format_is_segmentation()

bool simaai::neat::detection_format_is_segmentation (const std::string & format)

True iff format names a BoxDecode segmentation wire format.

Definition at line 137 of file DetectionTypes.h.

detection_format_is_segmentation_pose()

bool simaai::neat::detection_format_is_segmentation_pose (const std::string & format)

True iff format is any BoxDecode format whose leading payload is BBOX records.

Definition at line 140 of file DetectionTypes.h.

drain_bus()

void simaai::neat::drain_bus (GstElement * pipeline, BusMessageFn on_message, void * user_data)

Drain pending messages from the pipeline's bus, invoking on_message for each.

Non-blocking: pulls all messages currently posted, then returns. Safe to call from the framework's polling loop while the pipeline is running.

Parameters

pipeline	Pipeline whose bus to drain.
on_message	Callback invoked for each message (may be null).
user_data	Opaque pointer forwarded to on_message.

Definition at line 55 of file GstBusWatch.h.

element_exists()

bool simaai::neat::element_exists (const char * factory)

Returns true if a GStreamer element factory with factory name is registered.

Definition at line 20 of file GstHelpers.h.

element_property_exists()

bool simaai::neat::element_property_exists (const char * factory, const char * property_name)

Returns true if factory exists and exposes a property named property_name.

Definition at line 23 of file GstHelpers.h.

estimate_conversion_cost()

ConversionCost simaai::neat::estimate_conversion_cost (ConversionKind kind, std::uint64_t bytes_copied)

Estimate the cost (bytes + compute class) of a conversion of the given kind moving bytes_copied bytes.

Definition at line 93 of file TensorConversion.h.

factory_plugin_path()

std::string simaai::neat::factory_plugin_path (const char * factory)

Returns the filesystem path of the plugin .so providing factory, or empty if unknown.

Definition at line 26 of file GstHelpers.h.

format_tag_from_string()

FormatTag simaai::neat::format_tag_from_string (const std::string & value)

inline

Parse a string token to a FormatTag; unknown values map to Auto.

Definition at line 206 of file FormatSpec.h.

format_tag_name()

const char * simaai::neat::format_tag_name (FormatTag tag)

inline

Stable, canonical string token for tag (empty string for Auto).

Definition at line 66 of file FormatSpec.h.

format_tag_to_string()

std::string simaai::neat::format_tag_to_string (FormatTag tag)

inline

std::string form of the canonical format token.

Definition at line 117 of file FormatSpec.h.

from_gst_sample()

Tensor simaai::neat::from_gst_sample (GstSample * sample)

Definition at line 18 of file TensorAdapters.h.

graph_run_to_json()

std::string simaai::neat::graph_run_to_json (const Run & run, const GraphRunExportOptions & opt={}, std::string * err=nullptr)

inline

Compatibility wrapper for existing graph-run JSON call sites.

Definition at line 63 of file RunExport.h.

graph_run_to_json()

std::string simaai::neat::graph_run_to_json (const Run & run, const MeasureReport & report, const GraphRunExportOptions & opt={}, std::string * err=nullptr)

inline

Compatibility wrapper for measured graph-run JSON call sites.

Definition at line 69 of file RunExport.h.

gst_init_once()

void simaai::neat::gst_init_once ()

Initialize GStreamer exactly once across the process.

Safe to call from multiple threads and multiple times — only the first call performs the actual gst_init(); subsequent calls return immediately.

Definition at line 22 of file GstInit.h.

gst_message_to_string()

std::string simaai::neat::gst_message_to_string (GstMessage * msg)

Format a single GStreamer bus message into a stable, one-line string.

Parameters

msg	The bus message to format. Must be non-null.

Returns

Human-readable summary suitable for logs and GraphReport.

Definition at line 43 of file GstBusWatch.h.

input_type_from_media_type()

PayloadType simaai::neat::input_type_from_media_type (std::string_view media_type)

inline

Legacy helper name kept as a source-compatible bridge.

Definition at line 45 of file PayloadType.h.

is_raw_video_format()

bool simaai::neat::is_raw_video_format (FormatTag tag)

inline

True iff tag names a raw (uncompressed) video format.

Definition at line 260 of file FormatSpec.h.

is_tensor_payload_format()

bool simaai::neat::is_tensor_payload_format (FormatTag tag)

inline

True iff tag names a tensor payload (MLA, BBOX, ARGMAX, dtype kinds, EVXX aliases).

Definition at line 266 of file FormatSpec.h.

is_tessellated_bf16_format()

bool simaai::neat::is_tessellated_bf16_format (const std::string & fmt)

True iff fmt names a BF16 tessellated tensor format string.

Definition at line 20 of file TessellatedTensor.h.

is_tessellated_int8_format()

bool simaai::neat::is_tessellated_int8_format (const std::string & fmt)

True iff fmt names an INT8 tessellated tensor format string.

Definition at line 18 of file TessellatedTensor.h.

make_bundle_sample()

Sample simaai::neat::make_bundle_sample (std::initializer_list< Sample > fields)

inline

Construct a Bundle-kind Sample whose payload is the given list of inner Samples.

Definition at line 853 of file GraphOptions.h.

make_cpu_external_storage()

std::shared_ptr< TensorBuffer > simaai::neat::make_cpu_external_storage (void * data, std::size_t size_bytes, std::shared_ptr< void > holder={}, bool read_only=true)

Wrap a foreign CPU pointer as a TensorBuffer without copying.

Lifetime of the underlying memory is tracked via the holder shared_ptr — pass a custom deleter or a refcounted handle that keeps the original allocation alive. Set read_only to indicate the framework should not write through this storage.

Definition at line 554 of file TensorCore.h.

make_cpu_owned_storage()

std::shared_ptr< TensorBuffer > simaai::neat::make_cpu_owned_storage (std::size_t size_bytes)

Allocate a CPU-owned heap buffer of size_bytes, initialized to zero.

Definition at line 546 of file TensorCore.h.

make_encoded_sample()

Sample simaai::neat::make_encoded_sample (std::vector< uint8_t > bytes, std::string caps_string, int64_t pts_ns=-1, int64_t dts_ns=-1, int64_t duration_ns=-1)

Build an encoded Sample from raw bytes and caps metadata.

The returned Sample owns bytes (moved in) and carries the supplied caps string plus optional PTS/DTS/duration timestamps. Pass -1 to leave a timestamp unset.

Parameters

bytes	Encoded payload (e.g., H.264 access unit or NAL).
caps_string	Caps string describing the codec/profile.
pts_ns	Presentation timestamp in nanoseconds, or -1 if unknown.
dts_ns	Decode timestamp in nanoseconds, or -1 if unknown.
duration_ns	Frame duration in nanoseconds, or -1 if unknown.

Returns

A Sample wrapping the encoded payload with the supplied caps.

Definition at line 47 of file EncodedSampleUtil.h.

make_tensor_sample()

Sample simaai::neat::make_tensor_sample (const std::string & port_name, simaai::neat::Tensor tensor)

inline

Construct a TensorSet-kind Sample wrapping a single Tensor for the named port.

Definition at line 828 of file GraphOptions.h.

media_type_from_payload_type()

std::string simaai::neat::media_type_from_payload_type (PayloadType payload_type)

inline

Convert a payload family to the canonical internal media type when one exists.

Definition at line 50 of file PayloadType.h.

normalize_caps_format_for_media()

std::string simaai::neat::normalize_caps_format_for_media (std::string media_type, std::string format)

inline

Normalize a caps-format string conditionally on its media type.

Tensor caps (application/vnd.simaai.tensor) are normalized to canonical EVXX_ tokens; other media types (raw video, encoded video) are returned unchanged.

Parameters

media_type	GStreamer-style media type (e.g., application/vnd.simaai.tensor).
format	Format string to potentially normalize.

Returns

Normalized format if applicable, otherwise format unchanged.

Definition at line 194 of file FormatSpec.h.

normalize_tensor_caps_format()

std::string simaai::neat::normalize_tensor_caps_format (std::string value)

inline

Normalize tensor format aliases to the canonical EVXX_* token.

Maps user-facing or legacy spellings (FP32/FLOAT32, BF16/BFLOAT16, INT8/16/32) onto the EV-side caps form. Unknown values are passed through unchanged.

Definition at line 164 of file FormatSpec.h.

parse_bbox_bytes()

std::vector< Box > simaai::neat::parse_bbox_bytes (const std::vector< uint8_t > & bytes, int img_w, int img_h, int expected_topk, bool strict)

Parse a packed BBOX byte payload into typed Box records.

Parameters

bytes	Raw bytes (the BBOX caps payload).
img_w	Original image width used to clamp/scale coordinates.
img_h	Original image height used to clamp/scale coordinates.
expected_topk	Number of detections expected (advisory; see strict).
strict	If true, mismatches against expected_topk throw; if false, parse best-effort.

Returns

Parsed detections (size may be less than expected_topk).

Definition at line 168 of file DetectionTypes.h.

payload_type_from_media_type()

PayloadType simaai::neat::payload_type_from_media_type (std::string_view media_type)

inline

Convert an internal/legacy caps media string to the public payload family.

Definition at line 31 of file PayloadType.h.

prepare_processmla_runtime_config()

bool simaai::neat::prepare_processmla_runtime_config (ProcessMlaRuntimeConfig * runtime_cfg, std::string * error_message=nullptr)

Definition at line 178 of file PreparedRuntimeBridge.h.

prewarm_runtime()

void simaai::neat::prewarm_runtime ()

Initialize NEAT's runtime substrate early.

This performs the same one-time GStreamer/plugin setup that the first Graph::build() would otherwise perform. Calling it during application startup/model loading can hide cold plugin-registry cost from the first latency-sensitive build.

Definition at line 41 of file runtime.h.

prewarm_runtime_async()

std::future< void > simaai::neat::prewarm_runtime_async ()

Start NEAT runtime prewarm on a background thread.

The returned future rethrows any initialization error from prewarm_runtime().

Definition at line 48 of file runtime.h.

read_detection_format()

std::string simaai::neat::read_detection_format (const simaai::neat::Tensor & tensor)

Read the detection-format token from a tensor, if present.

Checks tensor.semantic.detection->format first. Falls back to the legacy tensor.semantic.tess->format location for back-compat with un-migrated producers; the fallback is scheduled for removal once all producers tag via tag_detection_format.

Returns

The format token, or empty string if neither slot carries one.

Definition at line 273 of file DetectionTypes.h.

read_feature_format()

std::string simaai::neat::read_feature_format (const Tensor & tensor)

Definition at line 73 of file FeatureTypes.h.

require_element()

void simaai::neat::require_element (const char * factory, const char * context)

Throw a NeatError if factory is not registered.

Parameters

factory	GStreamer element factory name (e.g., "h264parse").
context	Caller context interpolated into the error message (typically the Node kind).

Definition at line 33 of file GstHelpers.h.

require_single_tensor()

Tensor & simaai::neat::require_single_tensor (Sample & sample, const char * where=nullptr)

Returns the sample's single Tensor; throws if the sample carries 0 or >1 tensors.

Definition at line 876 of file GraphOptions.h.

require_single_tensor()

const Tensor & simaai::neat::require_single_tensor (const Sample & sample, const char * where=nullptr)

Const variant of require_single_tensor.

Definition at line 878 of file GraphOptions.h.

require_tensordecoder()

void simaai::neat::require_tensordecoder (const char * context)

Throw a NeatError if SiMa's tensordecoder element is not available.

Parameters

context

Caller context for the error message.

Definition at line 39 of file GstHelpers.h.

resolve_input_media_type()

std::string simaai::neat::resolve_input_media_type (const InputOptions & opt)

inline

Resolve the internal caps media type requested by public InputOptions.

Definition at line 130 of file Input.h.

run_to_json()

std::string simaai::neat::run_to_json (const Run & run, const RunExportOptions & opt={}, std::string * err=nullptr)

Serialize a built Run to sima.neat.graph_run JSON. Returns empty string on error.

Definition at line 47 of file RunExport.h.

run_to_json()

std::string simaai::neat::run_to_json (const Run & run, const MeasureReport & report, const RunExportOptions & opt={}, std::string * err=nullptr)

Serialize a built Run plus a measurement-window report to graph JSON.

Definition at line 51 of file RunExport.h.

sample_from_tensors()

Sample simaai::neat::sample_from_tensors (const TensorList & tensors)

Construct a TensorSet sample from a list of tensors.

Definition at line 882 of file GraphOptions.h.

sample_has_tensor_list()

bool simaai::neat::sample_has_tensor_list (const Sample & sample)

inline

Returns true if the sample is a TensorSet with at least one tensor.

Definition at line 867 of file GraphOptions.h.

sample_is_multi_output()

bool simaai::neat::sample_is_multi_output (const Sample & sample)

inline

Returns true if the sample carries multiple outputs (Bundle, or TensorSet with size > 1).

Definition at line 861 of file GraphOptions.h.

sample_media_type()

std::string simaai::neat::sample_media_type (const Sample & sample)

inline

Return the internal media type corresponding to a Sample's payload family.

Definition at line 820 of file GraphOptions.h.

sample_payload_type()

PayloadType simaai::neat::sample_payload_type (const Sample & sample)

inline

Return a Sample's standardized payload family, falling back from legacy media_type.

Definition at line 788 of file GraphOptions.h.

sample_tensor_list()

TensorList & simaai::neat::sample_tensor_list (Sample & sample, const char * where=nullptr)

Mutable reference to the sample's tensor list. Throws NeatError if kind != TensorSet.

Definition at line 872 of file GraphOptions.h.

sample_tensor_list()

const TensorList & simaai::neat::sample_tensor_list (const Sample & sample, const char * where=nullptr)

Const reference to the sample's tensor list. Throws NeatError if kind != TensorSet.

Definition at line 874 of file GraphOptions.h.

save_graph_run_json()

bool simaai::neat::save_graph_run_json (const Run & run, const std::string & path, const GraphRunExportOptions & opt={}, std::string * err=nullptr)

inline

Compatibility wrapper for existing graph-run JSON call sites.

Definition at line 76 of file RunExport.h.

save_graph_run_json()

bool simaai::neat::save_graph_run_json (const Run & run, const MeasureReport & report, const std::string & path, const GraphRunExportOptions & opt={}, std::string * err=nullptr)

inline

Compatibility wrapper for measured graph-run JSON call sites.

Definition at line 82 of file RunExport.h.

save_run_json()

bool simaai::neat::save_run_json (const Run & run, const std::string & path, const RunExportOptions & opt={}, std::string * err=nullptr)

Atomically write run_to_json(run, opt) to path using path + ".tmp" then rename.

Definition at line 55 of file RunExport.h.

save_run_json()

bool simaai::neat::save_run_json (const Run & run, const MeasureReport & report, const std::string & path, const RunExportOptions & opt={}, std::string * err=nullptr)

Atomically write run_to_json(run, report, opt) to path.

Definition at line 59 of file RunExport.h.

sima_neat_build_graph_processcvu_prepared_stage_v2()

bool simaai::neat::sima_neat_build_graph_processcvu_prepared_stage_v2 (const GraphProcessCvuStageRequestV2 * request, simaai::gst::ProcessCvuPreparedStage * out, std::string * error_message=nullptr)

Definition at line 174 of file PreparedRuntimeBridge.h.

sima_neat_graph_processcvu_prepared_bridge_abi_v2()

const GraphProcessCvuPreparedBridgeAbiV2 * simaai::neat::sima_neat_graph_processcvu_prepared_bridge_abi_v2 ()

Definition at line 171 of file PreparedRuntimeBridge.h.

sima_neat_prepared_runtime_bridge_abi_sizes()

const PreparedRuntimeBridgeAbiSizes * simaai::neat::sima_neat_prepared_runtime_bridge_abi_sizes ()

Definition at line 32 of file PreparedRuntimeBridge.h.

superpoint_output_format_token()

constexpr const char * simaai::neat::superpoint_output_format_token (SuperPointOutputFormat format)

constexpr

Definition at line 62 of file SuperPointTypes.h.

superpoint_profile_token()

constexpr const char * simaai::neat::superpoint_profile_token (SuperPointProfile profile)

constexpr

Definition at line 45 of file SuperPointTypes.h.

tag_detection_format()

void simaai::neat::tag_detection_format (simaai::neat::Tensor & tensor, std::string format)

Tag a tensor as carrying a detection-decoder wire format.

Sets tensor.semantic.detection = DetectionSpec{.format = format} so downstream consumers (and decode_bbox_tensor, pyneat.decode_bbox) can recognize the payload via the type-honest DetectionSpec slot instead of overloading TessSpec::format.

Parameters

tensor	Tensor to mutate.
format	Wire-format token (e.g., "BBOX").

Definition at line 262 of file DetectionTypes.h.

tag_detection_format_in_sample()

void simaai::neat::tag_detection_format_in_sample (simaai::neat::Sample & sample)

Walk a Sample tree and tag every recognized BBOX-payload Tensor with semantic.detection.format = "BBOX".

Called as a runtime finalizer at every chokepoint where detection-stage outputs exit the framework into user code (e.g., Run::pull_tensors_strict, Postprocess). Normalises the type metadata so consumers can rely on the type-honest DetectionSpec slot instead of inspecting payload_tag, Sample::format, or the legacy TessSpec::format overload.

Definition at line 291 of file DetectionTypes.h.

tag_feature_format()

void simaai::neat::tag_feature_format (Tensor & tensor, std::string format)

Definition at line 72 of file FeatureTypes.h.

tag_feature_format_in_sample()

void simaai::neat::tag_feature_format_in_sample (Sample & sample)

Definition at line 76 of file FeatureTypes.h.

tensor_format_is_bf16_alias()

bool simaai::neat::tensor_format_is_bf16_alias (std::string value)

inline

True iff value names BF16 (any of BF16, BFLOAT16, EVXX_BF16, EVXX_BFLOAT16).

Definition at line 129 of file FormatSpec.h.

tensor_format_is_fp32_alias()

bool simaai::neat::tensor_format_is_fp32_alias (std::string value)

inline

True iff value names FP32 (FP32, FLOAT32, EVXX_FLOAT32).

Definition at line 135 of file FormatSpec.h.

tensor_format_is_int16_alias()

bool simaai::neat::tensor_format_is_int16_alias (std::string value)

inline

True iff value names INT16 (INT16, EVXX_INT16).

Definition at line 147 of file FormatSpec.h.

tensor_format_is_int32_alias()

bool simaai::neat::tensor_format_is_int32_alias (std::string value)

inline

True iff value names INT32 (INT32, EVXX_INT32).

Definition at line 153 of file FormatSpec.h.

tensor_format_is_int8_alias()

bool simaai::neat::tensor_format_is_int8_alias (std::string value)

inline

True iff value names INT8 (INT8, EVXX_INT8).

Definition at line 141 of file FormatSpec.h.

tensor_to_pcm_audio()

PcmAudio simaai::neat::tensor_to_pcm_audio (const Tensor & tensor)

Definition at line 15 of file TensorAudio.h.

tensors_from_sample()

TensorList simaai::neat::tensors_from_sample (const Sample & sample, bool require_nonempty=true)

Extract all tensors from any sample shape (Tensor, TensorSet, Bundle); flattens recursively.

Definition at line 880 of file GraphOptions.h.

throw_if_bus_error()

void simaai::neat::throw_if_bus_error (GstElement * pipeline, BusMessageFn on_message, void * user_data, BusErrorFn on_error, void * error_user_data)

Drain the bus and throw a NeatError if any error message is found.

Drains exactly like drain_bus but additionally invokes on_error and raises a NeatError if any GST_MESSAGE_ERROR is observed.

Parameters

pipeline	Pipeline whose bus to drain.
on_message	Callback invoked for every message (may be null).
user_data	Opaque pointer forwarded to on_message.
on_error	Callback invoked once for the error line before throwing (may be null).
error_user_data	Opaque pointer forwarded to on_error.

Definition at line 69 of file GstBusWatch.h.

to_string()

const char * simaai::neat::to_string (ValidationSeverity s)

inline

Stable string label for a ValidationSeverity (for reports/logs).

Definition at line 36 of file ValidationReport.h.

upper_copy_ascii()

std::string simaai::neat::upper_copy_ascii (std::string value)

inline

ASCII upper-case copy of value (does not touch non-ASCII bytes).

Definition at line 122 of file FormatSpec.h.

Variables

GRAPH_PROCESSCVU_PREPARED_BRIDGE_ABI_VERSION_V2

constexpr std::uint32_t simaai::neat::GRAPH_PROCESSCVU_PREPARED_BRIDGE_ABI_VERSION_V2 = 2U

constexpr

Definition at line 137 of file PreparedRuntimeBridge.h.

kDecodedBoxColumns

constexpr int64_t simaai::neat::kDecodedBoxColumns = 6

constexpr

Number of columns in a decoded-boxes tensor: x1, y1, x2, y2, score, class_id.

Definition at line 188 of file DetectionTypes.h.

kDecodedMaskHeight

constexpr int64_t simaai::neat::kDecodedMaskHeight = 160

constexpr

Height of each BoxDecode instance mask.

Definition at line 77 of file DetectionTypes.h.

kDecodedMaskWidth

constexpr int64_t simaai::neat::kDecodedMaskWidth = 160

constexpr

Width of each BoxDecode instance mask.

Definition at line 75 of file DetectionTypes.h.

kDecodedPoseColumns

constexpr int64_t simaai::neat::kDecodedPoseColumns = 3

constexpr

Number of values per keypoint: x, y, visibility.

Definition at line 73 of file DetectionTypes.h.

kDecodedPoseKeypoints

constexpr int64_t simaai::neat::kDecodedPoseKeypoints = 17

constexpr

Number of keypoints emitted by the BoxDecode pose wire format.

Definition at line 71 of file DetectionTypes.h.

kDetectionFormatBbox

constexpr char simaai::neat::kDetectionFormatBbox[] = "BBOX"

constexpr

Canonical detection-format token for BoxDecode bounding-box payloads.

Definition at line 62 of file DetectionTypes.h.

kDetectionFormatBboxPose

constexpr char simaai::neat::kDetectionFormatBboxPose[] = "BBOX_POSE"

constexpr

Canonical detection-format token for BoxDecode pose payloads.

Definition at line 64 of file DetectionTypes.h.

kDetectionFormatBboxSegmentation

constexpr char simaai::neat::kDetectionFormatBboxSegmentation[] = "BBOX_SEGMENTATION"

constexpr

Canonical detection-format token for BoxDecode instance-segmentation payloads.

Definition at line 66 of file DetectionTypes.h.

kDetectionFormatBboxSegmentationPose

constexpr char simaai::neat::kDetectionFormatBboxSegmentationPose[] = "BBOX_SEGMENTATION_POSE"

constexpr

Canonical detection-format token for BoxDecode payloads carrying masks AND keypoints.

Definition at line 68 of file DetectionTypes.h.

kFeatureFormatLegacyA65V0

constexpr char simaai::neat::kFeatureFormatLegacyA65V0[] = "FEATURE_POINTS_LEGACY_A65_V0"

constexpr

Definition at line 19 of file FeatureTypes.h.

kFeatureFormatPointsV1

constexpr char simaai::neat::kFeatureFormatPointsV1[] = "FEATURE_POINTS_V1"

constexpr

Definition at line 18 of file FeatureTypes.h.

kFeaturePointsMagicV1

constexpr std::uint32_t simaai::neat::kFeaturePointsMagicV1 = 0x31565046U

constexpr

Definition at line 20 of file FeatureTypes.h.

kInvalidRuntimeNodeId

constexpr RuntimeNodeId simaai::neat::kInvalidRuntimeNodeId = static_cast<RuntimeNodeId>(-1)

constexpr static

Definition at line 24 of file GraphMetrics.h.

kMultipartHeaderCaptureMaxBlockBytes

constexpr std::size_t simaai::neat::kMultipartHeaderCaptureMaxBlockBytes = 64U * 1024U

constexpr

Maximum total size, in bytes, of one multipart part header block.

Definition at line 24 of file MultipartJpegDemux.h.

kMultipartHeaderCaptureMaxHeaders

constexpr std::size_t simaai::neat::kMultipartHeaderCaptureMaxHeaders = 64U

constexpr

Maximum number of distinct header names one capture allowlist may select.

Definition at line 18 of file MultipartJpegDemux.h.

kMultipartHeaderCaptureMaxLineBytes

constexpr std::size_t simaai::neat::kMultipartHeaderCaptureMaxLineBytes = 8U * 1024U

constexpr

Maximum length, in bytes, of one header line inside a multipart part header block.

Definition at line 22 of file MultipartJpegDemux.h.

kMultipartHeaderCaptureMaxNameBytes

constexpr std::size_t simaai::neat::kMultipartHeaderCaptureMaxNameBytes = 128U

constexpr

Maximum length, in bytes, of a single selected header name.

Definition at line 20 of file MultipartJpegDemux.h.

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The documentation for this namespace was generated from the following files:

• ValidationReport.h
• GstBusWatch.h
• GstHelpers.h
• GstInit.h
• Model.h
• PreparedRuntimeBridge.h
• runtime.h
• MultipartJpegDemux.h
• Input.h
• Cast.h
• SimaDecode.h
• BoxDecodeType.h
• DetectionTypes.h
• EncodedSampleUtil.h
• FeatureTypes.h
• FormatSpec.h
• GraphMetrics.h
• GraphOptions.h
• PayloadType.h
• Run.h
• RunExport.h
• SuperPointTypes.h
• Tensor.h
• TensorAdapters.h
• TensorAudio.h
• TensorConversion.h
• TensorCore.h
• TessellatedTensor.h

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