feat(pointcloud): auto-select verified GPU runtime

shuishen

7 days ago faf5be476037d3baf4da3515789906a176f9b040

 apps/workbench-console/src/api/artifacts.ts

@@ -51,9 +51,9 @@
export interface PhotoReconstructionJob { id: string; runId: string; inputImages: number; usePositionPriors: boolean; status: "queued" | "running" | "complete" | "failed"; stage: "queued" | "sparse_sfm" | "dense_mvs" | "complete" | "failed"; createdAt: string; startedAt?: string; finishedAt?: string; error?: string; run?: PointCloudDefinition; }
export interface PointCloudAnnotationSource { id: string; runId: string; label: string; artifactRoot: string; file: string; url: string; sha256: string; pointCount: number; sourceKind: string; }
export interface PointCloudAnnotation { id: string; sourceId: string; createdAt: string; labelCount: number; classCounts: Record<string, number>; path: string; }
export interface PointCloudTrainingJob { id: string; annotationId: string; status: "queued" | "running" | "complete" | "failed"; stage: string; device: string; createdAt: string; error?: string; artifactRoot?: string; metrics?: string; model?: string; preview?: string; }
export interface PointCloudTrainingJob { id: string; annotationId: string; status: "queued" | "running" | "complete" | "failed"; stage: string; requestedDevice?: string; device: string; environment?: string; torchVersion?: string; createdAt: string; error?: string; artifactRoot?: string; metrics?: string; model?: string; preview?: string; }
export interface PointCloudSemanticModel { id: string; label: string; artifactRoot: string; model: string; metrics: string; createdAt: string; classes: Record<string, { key: string; label: string; color: number[] }>; testF1: Record<string, number>; }
export interface PointCloudInferenceJob { id: string; runId: string; modelId: string; inputName: string; status: "queued" | "running" | "complete" | "failed"; stage: string; device: string; createdAt: string; error?: string; artifactRoot?: string; metadata?: string; preview?: string; classifiedLas?: string; classCounts?: string; summary?: string; }
export interface PointCloudInferenceJob { id: string; runId: string; modelId: string; inputName: string; status: "queued" | "running" | "complete" | "failed"; stage: string; requestedDevice?: string; device: string; environment?: string; torchVersion?: string; createdAt: string; error?: string; artifactRoot?: string; metadata?: string; preview?: string; classifiedLas?: string; classCounts?: string; summary?: string; }

export const artifactUrl = (path: string) => `/${path.replace(/\\/g, "/").split("/").map(encodeURIComponent).join("/")}`;

@@ -172,7 +172,7 @@
export async function loadPointCloudAnnotations() { return (await getJson<{ annotations: PointCloudAnnotation[] }>("api/3d-pointcloud/annotations")).annotations; }
export async function createPointCloudAnnotation(sourceId: string, labels: Array<[number, number]>) { return postRun<{ annotation: PointCloudAnnotation }>("api/3d-pointcloud/annotations", { sourceId, labels }); }
export async function deletePointCloudAnnotation(annotationId: string) { return responseJson<{ deletedId: string }>(await fetch(artifactUrl(`api/3d-pointcloud/annotations/${encodeURIComponent(annotationId)}`), { method: "DELETE" })); }
export async function createPointCloudTrainingRun(annotationId: string, device: "auto" | "cpu" | "cuda" = "cpu") { return postRun<{ job: PointCloudTrainingJob }>("api/3d-pointcloud/training-runs", { annotationId, device }); }
export async function createPointCloudTrainingRun(annotationId: string, device: "auto" | "cpu" | "cuda" = "auto") { return postRun<{ job: PointCloudTrainingJob }>("api/3d-pointcloud/training-runs", { annotationId, device }); }
export async function loadPointCloudTrainingJob(jobId: string) { return (await getJson<{ job: PointCloudTrainingJob }>(`api/3d-pointcloud/training-jobs/${jobId}`)).job; }
export async function loadPointCloudSemanticModels() { return (await getJson<{ models: PointCloudSemanticModel[] }>("api/3d-pointcloud/semantic-models")).models; }
export async function createPointCloudModelInference(modelId: string, pointCloud: PointCloudUploadRef) { return postRun<{ job: PointCloudInferenceJob }>("api/3d-pointcloud/model-inference-runs", { modelId, pointCloud }); }