mllooper
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1.0.1 | mllooper-1.0.1-py3-none-any.whl |
Wheel Details
Project: | mllooper |
Version: | 1.0.1 |
Filename: | mllooper-1.0.1-py3-none-any.whl |
Download: | [link] |
Size: | 49332 |
MD5: | 8d69b96a75f09cf33e142272125733f3 |
SHA256: | 29b9bcd2dd4a29ce6e4e299682607c47a7e5071ad2050b2926d27cc2cf180dbf |
Uploaded: | 2024-02-17 22:35:27 +0000 |
dist-info
METADATA · WHEEL · RECORD · top_level.txt · entry_points.txt
METADATA
WHEEL
Wheel-Version: | 1.0 |
Generator: | bdist_wheel (0.42.0) |
Root-Is-Purelib: | true |
Tag: | py3-none-any |
RECORD
Path | Digest | Size |
---|---|---|
mllooper/__init__.py | sha256=TYJGEJyt7ghZkj8sMq0eQryM5jlYMdF2DZu5gcyWpZc | 437 |
mllooper/looper.py | sha256=fr3QJJUYvQFTRJB-P2ydHhTZnxOXotNyhFFEQ5bKeS4 | 13987 |
mllooper/module.py | sha256=uzwDtlSgSwe-OxTXMt9ggVuxmyLqRNlLr2ybS3hXViU | 10009 |
mllooper/run.py | sha256=gWu1I1MfcP9gJ6vVZT8qid9dXKrrgGl6MRD1gXof5gk | 14442 |
mllooper/state.py | sha256=UC1yQTmwUvLEK1bIXmZF8ZtSOuBhh1NjYVlqUyM6t9I | 332 |
mllooper/utils.py | sha256=7CK2cEszlTne3I8oyuWcKEJ_GdqCbBB3m4W2flDhwuA | 2065 |
mllooper/data/__init__.py | sha256=elFesZsuwl0IUJ4uF5gVu7hbXriTIQlFNM-50PR4luc | 315 |
mllooper/data/dataset.py | sha256=1KIOWXcqioTH3p9ykK6wtlJ3xyDgMYvDl4PYAQre1Zk | 10315 |
mllooper/data/dataset_loader.py | sha256=H22kvgA1q8o42QLcTMavbNnKgzipBjArv_I4atxAcmQ | 5530 |
mllooper/data/datasets.py | sha256=EA7hvtoE_Y19K1vGyztYGBCKK6YxdJ2oMyZMoG3ZivA | 5173 |
mllooper/logging/__init__.py | sha256=VLbgJ7vcEuzjd-LTVdjKTOhyjNi3c-Wvq67U3jkmSBw | 96 |
mllooper/logging/handler.py | sha256=qpz3ms9DZiuahD1EybKtnrgedxVXXLTVsn7Kv4AuaM8 | 12787 |
mllooper/logging/logger.py | sha256=zIN7OYXAdV5HuhGw5bFfwpcRyUAFdNO8nJAJSQ0RSYo | 2603 |
mllooper/logging/messages.py | sha256=3nygPG2zzIKMRyHyok8OoXWIG-ydk-WnBCXEUV_zUDM | 6916 |
mllooper/metrics/__init__.py | sha256=z4RvwY6ZO9VJTjm9qDWR-ekum9yG-moSZRpIRlzSw7E | 494 |
mllooper/metrics/metric.py | sha256=R8zbarhXAurii13A3PovHHaUCACMMfsVdXaFqHzQc7I | 21570 |
mllooper/metrics/metrics.py | sha256=IX1QV4mD5ync6ceuEkhwbhdMvuW2jD2Uo5UikKTj43A | 4313 |
mllooper/models/__init__.py | sha256=XLaqGLPH_l2MwIMJ1BL30YMPYPgT7iYEx5XVzoZcJ1Y | 162 |
mllooper/models/model.py | sha256=we6fhHLOPPxAPQfqYK-W-5tUIqTtKocsCCJMropcHD0 | 4505 |
mllooper/models/efficientnet/__init__.py | sha256=6DU2LBvNDgUAN8JXsXhB95dDSTBNuVyMTxkR2tVsMhg | 80 |
mllooper/models/efficientnet/model.py | sha256=E6dN83gdzJbvyaFz2Kpn5Wqbkn6h3BDzYVShSepoyyg | 3078 |
mllooper/models/resnet/__init__.py | sha256=M9PiS5eRZeBM8i971jY54QCwWe3-massxavdI9M8rig | 62 |
mllooper/models/resnet/model.py | sha256=cEtzzLFkFYLUJJfe5E7PFsarr7f7VSSsCMkBBMxGuh4 | 312 |
mllooper/state_tests/__init__.py | sha256=rMLB2c3OaJ2wXLvJkZgxPcqxMJjQeNguXsd0bfGUjyg | 181 |
mllooper/state_tests/state_test.py | sha256=qgukvHxx3seIAaSW2hvykEahTy-gldGpgD9RQfaREBs | 459 |
mllooper/state_tests/state_tests.py | sha256=PArPNhrF8CYMMmSTaaxWTISftLACmwuV83XHpegB5aA | 5777 |
mllooper/trainer/__init__.py | sha256=kuRIMr8oI75N7osHnleolLaRKUh0j0ZtDWNhm1Thjbw | 160 |
mllooper/trainer/optimizer.py | sha256=p3qrvg4IqmNBCGnQ3aU3QxdQHB7gaaghU8oX2O0Do0k | 596 |
mllooper/trainer/scheduler.py | sha256=CMjdCedO5og-UBL1vZNRt_J00v9yY9HLckUFTAta1og | 1889 |
mllooper/trainer/trainer.py | sha256=9ABAyVwEQqYGpW-89NhYJTW9PudLb9YkfiMmdNz48-U | 4770 |
mllooper-1.0.1.dist-info/LICENSE.txt | sha256=hIahDEOTzuHCU5J2nd07LWwkLW7Hko4UFO__ffsvB-8 | 34523 |
mllooper-1.0.1.dist-info/METADATA | sha256=3ak89tBtYUOM0EBXcTzBDr4ZyFJO5wpmos-nWu09CPw | 1335 |
mllooper-1.0.1.dist-info/WHEEL | sha256=oiQVh_5PnQM0E3gPdiz09WCNmwiHDMaGer_elqB3coM | 92 |
mllooper-1.0.1.dist-info/entry_points.txt | sha256=yvUQzqsYjgIItftfBw_2IwiEf_jCoXITJZqbE5ij3_E | 46 |
mllooper-1.0.1.dist-info/top_level.txt | sha256=LRE1mQ1YFm19S7xSXZii4SeAUU_IMS2YxFIGO91Vw08 | 9 |
mllooper-1.0.1.dist-info/RECORD | — | — |
top_level.txt
mllooper
entry_points.txt
mllooper = mllooper.run:cli