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legop3
2026-09-28 14:46:40 -04:00
parent eed88983ca
commit 008c90edf1
9 changed files with 214 additions and 68 deletions
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server/src/services/roverLearningService/configuration.js
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@@ -36,12 +36,12 @@ module.exports = {
maxSamples: integer({ minimum: 128, maximum: 2048, description: 'Maximum decoded windows retained in RAM per job. Each contains four 160x120 RGB frames.' }),
minimumSamples: integer({ minimum: 1, maximum: 128, description: 'Usable sampled windows required before training.' }),
passesPerJob: integer({ minimum: 1, maximum: 10, description: 'Shuffled passes over the sampled windows per job.' }),
minimumDrivingMinutes: number({ minimum: 1, maximum: 100000, description: 'Minimum distinct usable training footage in minutes before publishing a model; repeated passes do not count.' }),
newDrivingMinutesPerModel: number({ minimum: 1, maximum: 100000, description: 'Additional distinct usable footage required between published models.' }),
minimumDrivingMinutes: number({ minimum: 1, maximum: 100000, description: 'Minimum distinct usable training footage in minutes before promoting Latest; repeated passes do not count.' }),
newDrivingMinutesPerModel: number({ minimum: 1, maximum: 100000, description: 'Additional distinct usable footage required between Latest promotions.' }),
maxStepsPerJob: integer({ minimum: 1, maximum: 10000, description: 'Optimizer step cap per finite training job.' }),
checkpointEverySteps: integer({ minimum: 1, maximum: 100000, description: 'Accumulated training steps between permanent named model publications.' }),
checkpointEverySteps: integer({ minimum: 1, maximum: 100000, description: 'Accumulated training steps between gated Latest promotions. Permanent named snapshots are created by administrators.' }),
intervalSeconds: integer({ minimum: 30, maximum: 86400, description: 'Minimum seconds between completed training jobs.' }),
maxJobSeconds: integer({ minimum: 30, maximum: 3600, description: 'Wall-clock budget including video decoding; slow/stuck workers are stopped.' }),
}, { description: 'Bounded CPU training, sampling, and permanent checkpoint publication.', required: ['enabled', 'python', 'threads', 'batchSize', 'maxSamples', 'minimumSamples', 'passesPerJob', 'minimumDrivingMinutes', 'newDrivingMinutesPerModel', 'maxStepsPerJob', 'checkpointEverySteps', 'intervalSeconds', 'maxJobSeconds'] }),
}, { description: 'Ongoing CPU learning, sampling, and gated Latest checkpoint updates.', required: ['enabled', 'python', 'threads', 'batchSize', 'maxSamples', 'minimumSamples', 'passesPerJob', 'minimumDrivingMinutes', 'newDrivingMinutesPerModel', 'maxStepsPerJob', 'checkpointEverySteps', 'intervalSeconds', 'maxJobSeconds'] }),
}, { description: 'Optional rover recording and learning service.', required: ['enabled', 'recording', 'training', 'driving'] }),
};