STT/training/deepspeech_training/util/downloader.py
Catalin Voss 6640cf2341
Remote training I/O once more (#3437)
* Redo remote I/O changes once more; this time without messing with taskcluster

* Add bin changes

* Fix merge-induced issue?

* For the interleaved case with multiple collections, unpack audio on the fly

To reproduce the previous failure

rm data/smoke_test/ldc93s1.csv
rm data/smoke_test/ldc93s1.sdb
rm -rf /tmp/ldc93s1_cache_sdb_csv
rm -rf /tmp/ckpt_sdb_csv
rm -rf /tmp/train_sdb_csv

./bin/run-tc-ldc93s1_new_sdb_csv.sh 109 16000
python -u DeepSpeech.py --noshow_progressbar --noearly_stop --train_files ./data/smoke_test/ldc93s1.sdb,./data/smoke_test/ldc93s1.csv --train_batch_size 1 --feature_cache /tmp/ldc93s1_cache_sdb_csv --dev_files ./data/smoke_test/ldc93s1.sdb,./data/smoke_test/ldc93s1.csv --dev_batch_size 1 --test_files ./data/smoke_test/ldc93s1.sdb,./data/smoke_test/ldc93s1.csv --test_batch_size 1 --n_hidden 100 --epochs 109 --max_to_keep 1 --checkpoint_dir /tmp/ckpt_sdb_csv --learning_rate 0.001 --dropout_rate 0.05 --export_dir /tmp/train_sdb_csv --scorer_path data/smoke_test/pruned_lm.scorer --audio_sample_rate 16000

* Attempt to preserve length information with a wrapper around `map()`… this gets pretty python-y

* Call the right `__next__()`

* Properly implement the rest of the map wrappers here……

* Fix trailing whitespace situation and other linter complaints

* Remove data accidentally checked in

* Fix overlay augmentations

* Wavs must be open in rb mode if we're passing in an external file pointer -- this confused me

* Lint whitespace

* Revert "Fix trailing whitespace situation and other linter complaints"

This reverts commit c3c45397a2f98e9b00d00c18c4ced4fc52475032.

* Fix linter issue but without such an aggressive diff

* Move unpack_maybe into sample_collections

* Use unpack_maybe in place of duplicate lambda

* Fix confusing comment

* Add clarifying comment for on-the-fly unpacking
2020-12-07 13:07:34 +01:00

32 lines
1.2 KiB
Python

import requests
import progressbar
from os import path, makedirs
from .io import open_remote, path_exists_remote, is_remote_path
SIMPLE_BAR = ['Progress ', progressbar.Bar(), ' ', progressbar.Percentage(), ' completed']
def maybe_download(archive_name, target_dir, archive_url):
# If archive file does not exist, download it...
archive_path = path.join(target_dir, archive_name)
if not is_remote_path(target_dir) and not path.exists(target_dir):
print('No path "%s" - creating ...' % target_dir)
makedirs(target_dir)
if not path_exists_remote(archive_path):
print('No archive "%s" - downloading...' % archive_path)
req = requests.get(archive_url, stream=True)
total_size = int(req.headers.get('content-length', 0))
done = 0
with open_remote(archive_path, 'wb') as f:
bar = progressbar.ProgressBar(max_value=total_size if total_size > 0 else progressbar.UnknownLength, widgets=SIMPLE_BAR)
for data in req.iter_content(1024*1024):
done += len(data)
f.write(data)
bar.update(done)
else:
print('Found archive "%s" - not downloading.' % archive_path)
return archive_path