A tool helping to gather stats and run checks during training deep learning models with Pytorch using hooks.
Metadata
Release files for hookandlook 0.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hookandlook-0.0.3.tar.gz | 9.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hookandlook-0.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 19.3 kB
Release files / hookandlook-0.0.3.tar.gz
| Download URL | hookandlook-0.0.3.tar.gz |
|---|---|
| Size | 9.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
edf3783a47dc3fdb8279568ab17be5ecec34cbd33bf04d5ddd7fbca4c31a151c
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
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Release files / hookandlook-0.0.3-py3-none-any.whl
| Download URL | hookandlook-0.0.3-py3-none-any.whl |
|---|---|
| Size | 9.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
2ee9fb8a85613ff5696181715e8e7bc66ffcc0e2e3c984de3cf85b0e9bb0cab8
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BLAKE2b-256 checksum How to use checksums |
869421e3d660f76ffa4fed82618cd3e2cca34a47b947dc2b680573cb3f1b6e30
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.8.0 pkginfo/1.8.2 readme-renderer/32.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.8 tqdm/4.62.3 importlib-metadata/4.11.1 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.8.12
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