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legop3
2026-09-28 12:42:31 -04:00
parent 01354c56e6
commit bdc3eb640d
13 changed files with 374 additions and 120 deletions
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server/src/services/roverLearningService/configuration.js
+5 -3
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@@ -11,7 +11,8 @@ module.exports = {
training: {
enabled: true, python: '/opt/rover-learning/bin/python', threads: 8,
batchSize: 16, maxSamples: 1024, minimumSamples: 128, passesPerJob: 2,
roundsPerSession: 3, maxStepsPerJob: 200, checkpointEverySteps: 100,
maxStepsPerJob: 200, checkpointEverySteps: 1000,
minimumDrivingMinutes: 30, newDrivingMinutesPerModel: 10,
intervalSeconds: 60, maxJobSeconds: 600,
},
},
@@ -35,11 +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.' }),
roundsPerSession: integer({ minimum: 1, maximum: 20, description: 'Maximum successful sampled training visits per retained recording; pauses repeated training on unchanged data.' }),
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.' }),
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.' }),
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', 'roundsPerSession', 'maxStepsPerJob', 'checkpointEverySteps', 'intervalSeconds', 'maxJobSeconds'] }),
}, { description: 'Bounded CPU training, sampling, and permanent checkpoint publication.', 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'] }),
};