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import path from 'path'
const name = 'samplernn'
const cwd = process.env.SAMPLERNN_CWD || path.join(process.env.HOME, 'code/' + name + '/')
const fetch = {
type: 'perl',
script: 'get.pl',
params: (task) => {
console.log(task)
return [ task.opt.url ]
}
}
const train = {
type: 'pytorch',
script: 'train.py',
params: (task) => {
return [
'--exp', task.dataset.name,
'--dataset', task.dataset.name,
'--frame_sizes', '8', '2',
'--n_rnn', '2',
'--epoch_limit', task.epochs || 4,
'--sample_length', task.opt.sample_length || 44100 * 5,
'--n_samples', task.opt.n_samples || 6,
'--keep_old_checkpoints', task.opt.keep_old_checkpoints ? 'True' : 'False',
]
},
onComplete: publish,
}
const generate = {
type: 'pytorch',
script: 'generate.py',
params: (task) => {
return [
'--exp', task.dataset,
'--dataset', task.dataset,
'--frame_sizes', '8', '2',
'--n_rnn', '2',
'--sample_length', task.opt.sample_length || 44100 * 5,
'--n_samples', task.opt.n_samples || 6,
'--keep_old_checkpoints', task.opt.keep_old_checkpoints ? 'True' : 'False',
]
},
onComplete: publish,
}
const publish = {
type: 'perl',
script: 'latest.pl',
params: (task) => {
return ['-l', task.dataset]
}
}
const report = {
type: 'perl',
script: 'latest.pl',
params: ['-v'],
isScript: true,
}
export default {
name, cwd,
activities: {
fetch, train, generate, report,
},
}
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