Parents (Total: 14)

The searched file hash is included in 14 parent files which include package known and seen by metalookup. A sample is included below:

Key	Value
FileSize	5971220
MD5	E9EA61D18831E91B08200FA33ACD14D1
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	D6B76B71FF7DF44231A42B0556D9D2A9F734469D
SHA-256	1B0DC73D324C799677D0CFD139AFA7F5212E017ABCBC2CFBA30D684EDA708049

Key	Value
SHA-1	9CA02C3CBCEFB662A3735FD313F5E6A3E9094F92
snap-authority	canonical
snap-filename	mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4.snap
snap-id	mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4
snap-name	buzz-fo
snap-publisher-id	W5dtI3n6IGjp63EzLpuZQ61ZLPvjs3VD
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2023-06-04T14:52:45.838944Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/mIfsuuQGdDlR7j5kz0nDW3k3UE7ae2ry_4.snap

Key	Value
FileSize	6636676
MD5	994F6647B9F56EF486807E215A0012E6
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	A4F5C06B6B81F634D8DE257EB31DB9C49C343170
SHA-256	021820C99DCCDBC7D6C57C3B44CC336AA6D055B3F47EF96647232772FDD6C489

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-pytorch-cuda-1.8.0-2-x86_64.pkg.tar.zst
MD5	63EA6C61AE7B7A6ACF5CD6E6DCCE9682
SHA-1	1631AC86E206C6ACF23A26A9CAF591BB3F6E3A74
SHA-256	8684C18DE974582C9C06512BF6B0CEB4CEACDC97375A86200BC32F4715703A7A
SSDEEP	6291456:CDRqb2D/B1PyJSSpHvR23nZv/rc3EVYARaR/gQITFwx5dCKHNPHDZQQ5CRki4kZC:CNz1wDpHvgp7ZYsaBgQITOx5dCIPDZdL
TLSH	T1AD0933D1A9A5CE7AC134507BFBAA9F8C71E1C0F1231812327744F43ED88AADED255D4A

Key	Value
SHA-1	B24D97F0DFC58ABBB372768EA7C0697B0EB5CAC3
snap-authority	canonical
snap-filename	RSpCVxCNDwoTXHPXhlYQnziD0jQhVnKA_12.snap
snap-id	RSpCVxCNDwoTXHPXhlYQnziD0jQhVnKA_12
snap-name	buzz
snap-publisher-id	ECq0wv6rDqucsm7bmMNTHzTcvkhHCW6Y
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2023-06-09T16:06:47.625866Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/RSpCVxCNDwoTXHPXhlYQnziD0jQhVnKA_12.snap

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-pytorch-opt-cuda-1.8.0-2-x86_64.pkg.tar.zst
MD5	8482BC91665FB009A86EEC653C425A39
SHA-1	2D69A39C1207DB6D1FFE31247A19C2C071B518B7
SHA-256	089D4AB4700F49DECCEDD59C8F5613E33B3C28622A1B0D604D03CFE6F55ECFE5
SSDEEP	6291456:NPyGZ501vXirZHjGiUnAG1AiV7lm54ZsJfZDz1y12PsUOQiUA6TI/HydybYyN9+3:p01vSJjGhnAalh1p7QLTcSdyvGeNyF
TLSH	T1C90933F0EB85CEB0D37E313D1AE31A8AB18644F4C915067E02666575F28EBE9C069D1F

Key	Value
FileSize	5907224
MD5	CC62435F5E1630532723389954EC872D
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	F0BA8720FCD12193751AFBF641C1EEB7687AD394
SHA-256	1FECB179BCB230998C15BAE022AB014FCBBE2A1903EEB9901C08CA63C43D851F

Key	Value
SHA-1	1341D5F609E902191E39372AE258788D3754801C
snap-authority	canonical
snap-filename	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap
snap-id	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11
snap-name	argos-translate
snap-publisher-id	Jekjha002c3lNU2gyMR4NLFdd1AC6JeW
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-02-02T13:37:28.172106Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_11.snap

Key	Value
SHA-1	F83178CEE919F2CF396D6BBDDC39D5CA06E5E819
snap-authority	canonical
snap-filename	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_10.snap
snap-id	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_10
snap-name	argos-translate
snap-publisher-id	Jekjha002c3lNU2gyMR4NLFdd1AC6JeW
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-02-02T13:37:28.172106Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_10.snap

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-pytorch-opt-1.8.0-2-x86_64.pkg.tar.zst
MD5	981230BB09FC32430DF4FD6232063F90
SHA-1	D4009A29364F5BB2351C7FB146F7F41926A2687C
SHA-256	6345F9126BCAFCC354FFF1CCB2A491C9AC8ACD0BB24A0C8281D59A9F976CD82A
SSDEEP	1572864:0lnI4Cyr6XydXwLF4TJGbDLyiYPYTD3CZ+ECJj:aYXtaTJGb6fQTDhR
TLSH	T13CE73338D1BD1969F51EE4ACD6E0FA43C0C0981BD552CEAB3F71D707AA121F69A61C32

Key	Value
FileSize	5766624
MD5	E2A2D4F5D8E681B6ED27E5142E69BEFA
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	4DD3F63613CF4EDA920B4DB8804AE9C3BE059E0D
SHA-256	E1E4A0B893EF727D5DD89BD52D8C56E9E3BCCE726ADCD25DE4E497A2FF0918AF

Key	Value
SHA-1	71F6F6D8D168E85EC126A3533B6377E285D67DEF
snap-authority	canonical
snap-filename	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_13.snap
snap-id	zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_13
snap-name	argos-translate
snap-publisher-id	Jekjha002c3lNU2gyMR4NLFdd1AC6JeW
snap-signkey	BWDEoaqyr25nF5SNCvEv2v7QnM9QsfCc0PBMYD_i2NGSQ32EF2d4D0hqUel3m8ul
snap-timestamp	2021-02-02T13:37:28.172106Z
source-url	https://api.snapcraft.io/api/v1/snaps/download/zBLv2JUGUIIcGFXThPtU3mcSNJo7CZgW_13.snap

Key	Value
FileName	http://archlinux.mirror.root.lu//pool//community//python-pytorch-1.8.0-2-x86_64.pkg.tar.zst
MD5	A165E498D7FDFE991043E801360F06CD
SHA-1	7558C46EE95C435572ECFB117587A30DDD375C53
SHA-256	89EE7C3A5F186E700EAD5E7C6ABB02A97C69FB75E74AA1D2C2B79BD5521606E7
SSDEEP	1572864:9p3mgW9OtMHqQ/UxZtmLsMnUGrT3ymgAGD0lm+Kz4Tnwm4:r3diHHqnesMUqflmZ8N4
TLSH	T15EE7335578FD8AA8F187C7F96E7A65BB2F451EB190A440A8C260F34071B37D4AEE0C4D

Key	Value
FileSize	6320740
MD5	74AC228049778FB53D9EB8A21B96D0C7
PackageDescription	Tensors and Dynamic neural networks in Python with strong GPU acceleration PyTorch is a Python package that provides two high-level features: . (1) Tensor computation (like NumPy) with strong GPU acceleration (2) Deep neural networks built on a tape-based autograd system . You can reuse your favorite Python packages such as NumPy, SciPy and Cython to extend PyTorch when needed. . This is the CPU-only version of PyTorch and Caffe2 (Python interface).
PackageMaintainer	Debian Deep Learning Team <debian-ai@lists.debian.org>
PackageName	python3-torch
PackageSection	python
PackageVersion	1.8.1-2
SHA-1	198E3C5D4046E8E1DDCA04CD87B6440E027BB3DC
SHA-256	07957E38F0837C296D42560E83F710C553A00E66CE6ED5DAD58DAEE5D630B76A