Tensors and Dynamic neural networks in Python with strong GPU acceleration

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for atalman from gravatar.com atalman Avatar for facebook from gravatar.com facebook Avatar for malfet from gravatar.com malfet Avatar for seemethere from gravatar.com seemethere Avatar for soumith from gravatar.com soumith

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3)
  • Author: PyTorch Team
  • Tags pytorch, machine, learning
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.6.0
Classifiers

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for atalman from gravatar.com atalman Avatar for facebook from gravatar.com facebook Avatar for malfet from gravatar.com malfet Avatar for seemethere from gravatar.com seemethere Avatar for soumith from gravatar.com soumith

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3)
  • Author: PyTorch Team
  • Tags pytorch, machine, learning
  • Requires: Python >=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.6.0
Classifiers

Release history Release notifications | RSS feed

2.6.0

2.5.1

2.5.0

2.4.1

2.4.0

2.3.1

2.3.0

2.2.2

2.2.1

2.2.0

2.1.2

2.1.1

2.1.0

2.0.1

2.0.0

1.13.1

1.13.0

1.12.1

1.12.0

1.11.0

1.10.2

1.10.1

1.10.0

1.9.1

1.9.0

1.8.1

1.8.0

1.7.1

1.7.0

1.6.0

This version

1.5.1

1.5.0

1.4.0

1.3.1

1.3.0

1.2.0

1.1.0

1.0.1

1.0.0

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distributions

torch-1.5.1-cp38-none-macosx_10_9_x86_64.whl (80.6 MB view details)

Uploaded CPython 3.8 macOS 10.9+ x86-64

torch-1.5.1-cp38-cp38-manylinux1_x86_64.whl (753.2 MB view details)

Uploaded CPython 3.8

torch-1.5.1-cp37-none-macosx_10_9_x86_64.whl (80.5 MB view details)

Uploaded CPython 3.7 macOS 10.9+ x86-64

torch-1.5.1-cp37-cp37m-manylinux1_x86_64.whl (753.2 MB view details)

Uploaded CPython 3.7m

torch-1.5.1-cp36-none-macosx_10_9_x86_64.whl (80.5 MB view details)

Uploaded CPython 3.6 macOS 10.9+ x86-64

torch-1.5.1-cp36-cp36m-manylinux1_x86_64.whl (753.2 MB view details)

Uploaded CPython 3.6m

torch-1.5.1-cp35-none-macosx_10_6_x86_64.whl (80.5 MB view details)

Uploaded CPython 3.5 macOS 10.6+ x86-64

torch-1.5.1-cp35-cp35m-manylinux1_x86_64.whl (753.2 MB view details)

Uploaded CPython 3.5m

File details

Details for the file torch-1.5.1-cp38-none-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp38-none-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 80.6 MB
  • Tags: CPython 3.8, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp38-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 ff1dbeaa017bae66036e8e7a698a5475ac5a0d7b0a690f0a04ac3b1133b1feb3
MD5 9c4b24598a4d470baf1bb4e6c36b85ea
BLAKE2b-256 99d4799d207b2006ae317d117b44e47854ab65ab69789aed85734d41c39a2d48

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp38-cp38-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp38-cp38-manylinux1_x86_64.whl
  • Upload date:
  • Size: 753.2 MB
  • Tags: CPython 3.8
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c42658f2982591dc4d0459645c9ab26e0ce18aa7ab0993c27c8bcb1c98931d11
MD5 536ace9648fdb4d4c7855cfc9464c985
BLAKE2b-256 bdbe3093d92b543a84e7dc0731f9c5b4e8ffe3c6e3b52f0d7bf3a5aa360ba305

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp37-none-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp37-none-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 80.5 MB
  • Tags: CPython 3.7, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp37-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 bb2a3e6c9c9dbfda856bd1b1a55d88789a9488b569ffba9cd6d9aa536ef866ba
MD5 e83e872eb21fdc4b9693d0c3bf59a30a
BLAKE2b-256 5dad51da3af99a515c31226f50c37d85e63423f9e28174c2984e11e4fb47ae01

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 753.2 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 70046cf66eb40ead89df25b8dcc571c3007fc9849d4e1d254cc09b4b355374d4
MD5 d579460711f1909ec31460feed7b6cec
BLAKE2b-256 a4cf007b6de316c9f3d4cb315a60c308342cc299e464167f5ebc369e93b5e23a

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp36-none-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp36-none-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 80.5 MB
  • Tags: CPython 3.6, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp36-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 0a83f41140222c7cc947aa29ed253f3e6fa490606d3d4acd02bfd9f338e3c707
MD5 497f337a20f14b378957993a8ad99587
BLAKE2b-256 85e2690ecae13b307cc676fd115a2e756688b83a6a6dec0c093c123777396b43

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 753.2 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 a358cee1d35b86757bf915e320ba776d39c20e60db50779060842efc86f02edd
MD5 90c54ca5a836b720a8a8d6dc45b02719
BLAKE2b-256 6201457b49d790b6c4b9720e6f9dbbb617692f6ce8afdaadf425c055c41a7416

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp35-none-macosx_10_6_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp35-none-macosx_10_6_x86_64.whl
  • Upload date:
  • Size: 80.5 MB
  • Tags: CPython 3.5, macOS 10.6+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp35-none-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 5d909a55cd979fec2c9a7aa35012024b9cc106acbc496faf5de798b148406450
MD5 904eee2723bd74d2259b118dec0454e3
BLAKE2b-256 f1fd65e6551b9d09b9e796af9aec9129eae8b105d3f416d1fb39e3b85d29bcf5

See more details on using hashes here.

File details

Details for the file torch-1.5.1-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.5.1-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 753.2 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.23.0 setuptools/45.1.0.post20200127 requests-toolbelt/0.9.1 tqdm/4.43.0 CPython/3.8.1

File hashes

Hashes for torch-1.5.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b84fd18fd8216b74a19828433c3beeb1f0d1d29f45dead3be9ed784ae6855966
MD5 91685ffb374a0522f6cf32926937b148
BLAKE2b-256 770cc70f85961ad643801e82276087c8d816ae9b3d9119645313232b73840579

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page