1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
|
import socket from '../../socket'
import types from '../../types'
import actions from '../../actions'
export const load_directories = (id) => (dispatch) => {
// console.log(actions)
Promise.all([
actions.folder.index({ module: 'samplernn' }),
actions.file.index({ module: 'samplernn' }),
actions.task.index({ module: 'samplernn' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'datasets' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'results' }),
actions.socket.list_directory({ module: 'samplernn', dir: 'output' }),
load_loss()(dispatch),
]).then(res => {
// console.log(res)
const [folders, files, tasks, datasets, results, output, lossReport] = res
const unsortedFolder = {
id: 0,
name: 'unsorted',
datasets: [],
}
const datasetLookup = {}
const get_dataset = (name, folder=unsortedFolder, date) => {
const dataset = datasetLookup[name] || empty_dataset(name, folder)
if (date) {
dataset.date = dataset.date ? Math.max(+new Date(date), dataset.date) : +new Date(date)
}
return dataset
}
const empty_dataset = (name, folder=unsortedFolder) => {
const dataset = {
name,
input: [],
checkpoints: [],
output: [],
}
datasetLookup[dataset.name] = dataset
folder.datasets.push(dataset)
return dataset
}
// take all of the folders and put them in a lookup
const folderLookup = folders.reduce((folderLookup, folder) => {
folderLookup[folder.id] = { id: folder.id, name: folder.name, folder, datasets: [] }
folder.datasets = []
return folderLookup
}, {
unsorted: unsortedFolder
})
// prepare the files by splitting into two groups
const generatedFiles = files.filter(file => file.generated)
const ungeneratedFiles = files.filter(file => !file.generated)
// build the initial dataset lookup table using the ungenerated files
ungeneratedFiles.reduce((datasetLookup, file) => {
if (! file.name) {
file.name = (file.opt || {}).token || file.url
}
const name = (file.name || 'unsorted').split('.')[0]
const dataset = get_dataset(name, folderLookup[file.folder_id], unsortedFolder, file.date)
dataset.input.push(file)
return datasetLookup
}, datasetLookup)
// go over the generated files and add addl datasets (if the files were deleted)
generatedFiles.map(file => {
const pair = file.name.split('.')[0].split('-')
const dataset = get_dataset(pair[0], folderLookup[file.folder_id], unsortedFolder, file.date)
dataset.output.push(file)
file.epoch = file.epoch || pair[1]
})
const flatDatasets = datasets.filter(s => s.name.match(/(wav|aiff?|flac|mp3)$/) && !s.dir)
const builtDatasets = datasets.filter(s => s.dir)
builtDatasets.forEach(dir => {
const dataset = get_dataset(dir.name)
dataset.isBuilt = true
})
flatDatasets.forEach(file => {
const name = file.name.split('.')[0]
const dataset = get_dataset(name, unsortedFolder, file.date)
file.persisted = false
dataset.input.push(file)
})
// exp:coccokit_3-frame_sizes:8,2-n_rnn:2-dataset:coccokit_3
const checkpoints = results.filter(s => s.dir).map(s => {
const checkpoint = s.name
.split('-')
.map(s => s.split(':'))
.filter(b => b.length && b[1])
.reduce((a,b) => (a[b[0]] = b[1]) && a, {})
checkpoint.name = checkpoint.name || checkpoint.dataset || checkpoint.exp
checkpoint.date = s.date
checkpoint.dir = s
checkpoint.persisted = false
const dataset = get_dataset(checkpoint.name, unsortedFolder, checkpoint.date)
const loss = lossReport[checkpoint.name]
if (loss) {
dataset.epoch = checkpoint.epoch = loss.length
checkpoint.training_loss = loss
}
dataset.checkpoints.push(checkpoint)
return checkpoint
})
output.map(file => {
const pair = file.name.split('.')[0].split('-')
const dataset = get_dataset(pair[0], unsortedFolder, file.date)
file.persisted = false
file.epoch = parseInt(file.epoch || pair[1].replace(/^\D+/, '')) || 0
dataset.epoch = Math.max(file.epoch, dataset.epoch || 0)
dataset.output.push(file)
})
dispatch({
type: types.samplernn.init,
data: {
folderLookup,
folders, files,
checkpoints,
builtDatasets,
output,
},
})
if (id) {
let folder = id === 'unsorted' ? folderLookup.unsorted : folderLookup[id]
dispatch({
type: types.samplernn.set_folder,
folder: folder,
})
}
}).catch(e => {
console.error(e)
})
}
export const load_loss = () => dispatch => {
return actions.socket.run_script({ module: 'samplernn', activity: 'report' })
.then(report => {
const lossReport = {}
report.stdout.split('\n\n').filter(a=>!!a).forEach(data => {
const [ name, ...lines ] = data.split('\n')
lossReport[name] = lines
.map(s =>
s.split('\t').reduce((a,s) => {
const b = s.split(': ')
a[b[0]] = b[1]
return a
}, {})
)
// console.log(loss[name])
})
dispatch({
type: types.samplernn.load_loss,
lossReport
})
return lossReport
})
}
export const set_folder = (folder) => { types.samplernn.set_folder, folder }
export const fetch_url = (url) => (dispatch) => {
console.log(url)
actions.task.start_task({
activity: 'fetch',
module: 'samplernn',
dataset: 'test',
epochs: 1,
opt: { url }
}, { preempt: true, watch: true })
}
export const train_task_now = (dataset) => (dispatch) => {
const task = {
module: 'samplernn',
activity: 'train',
dataset: dataset,
epochs: 6,
opt: {
sample_length: 44100 * 5,
n_samples: 6,
keep_old_checkpoints: false,
}
}
return actions.queue.start_task(task)
}
|
