Skip to main content

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Project description

The author of this package has not provided a project description

Project details


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-1.3.0-cp37-none-macosx_10_9_x86_64.whl (71.1 MB view details)

Uploaded CPython 3.7 macOS 10.9+ x86-64

torch-1.3.0-cp37-cp37m-manylinux1_x86_64.whl (773.1 MB view details)

Uploaded CPython 3.7m

torch-1.3.0-cp36-none-macosx_10_7_x86_64.whl (71.1 MB view details)

Uploaded CPython 3.6 macOS 10.7+ x86-64

torch-1.3.0-cp36-cp36m-manylinux1_x86_64.whl (773.1 MB view details)

Uploaded CPython 3.6m

torch-1.3.0-cp35-none-macosx_10_6_x86_64.whl (71.0 MB view details)

Uploaded CPython 3.5 macOS 10.6+ x86-64

torch-1.3.0-cp35-cp35m-manylinux1_x86_64.whl (773.1 MB view details)

Uploaded CPython 3.5m

torch-1.3.0-cp27-cp27mu-manylinux1_x86_64.whl (773.1 MB view details)

Uploaded CPython 2.7mu

torch-1.3.0-cp27-cp27m-manylinux1_x86_64.whl (773.1 MB view details)

Uploaded CPython 2.7m

File details

Details for the file torch-1.3.0-cp37-none-macosx_10_9_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp37-none-macosx_10_9_x86_64.whl
  • Upload date:
  • Size: 71.1 MB
  • Tags: CPython 3.7, macOS 10.9+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp37-none-macosx_10_9_x86_64.whl
Algorithm Hash digest
SHA256 b33884ff0ca101ea6a3415e946b85f98253ee32401c6d863cc5fc6d5bb02d81c
MD5 48e435f8190d3c6a698d3784223b80e3
BLAKE2b-256 0f2736b5f7acd661b2a435c7c9283dd4ddeac9a4c7fc0e328efaddeae2ffaf68

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp37-cp37m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 773.1 MB
  • Tags: CPython 3.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 d460039d0d6c9e3e70b76bf9594c4ac364a287f125d22e10a6e9e1198887422c
MD5 203ab44c23d41916b5944c41612013df
BLAKE2b-256 b40b9d33aef363b6728ad937643d98be713c6c25d50ce338678ad57cee6e6fd5

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp36-none-macosx_10_7_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp36-none-macosx_10_7_x86_64.whl
  • Upload date:
  • Size: 71.1 MB
  • Tags: CPython 3.6, macOS 10.7+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp36-none-macosx_10_7_x86_64.whl
Algorithm Hash digest
SHA256 3b3ef18d03d8bc2ffccef1b3d2a156aa6f3235ed76d1c93cf3711c48055c79ce
MD5 ec814a601964e7822641e16cf6c05d2e
BLAKE2b-256 8d874e42d7ab7cb1e5ee9f2f81d9c5955a7c558894f11c90898fdf838ea40327

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp36-cp36m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 773.1 MB
  • Tags: CPython 3.6m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2d07d9db5cf43d152c17caf13428c10ab8c8fbf9c3bd503cfc46222cbfd1bb1c
MD5 f41929a79146e0d5fb6100c7bf9dfe53
BLAKE2b-256 ae0550a05de5337f7a924bb8bd70c6936230642233e424d6a9747ef1cfbde353

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp35-none-macosx_10_6_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp35-none-macosx_10_6_x86_64.whl
  • Upload date:
  • Size: 71.0 MB
  • Tags: CPython 3.5, macOS 10.6+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp35-none-macosx_10_6_x86_64.whl
Algorithm Hash digest
SHA256 edf07e00bb7271406cec50630d7e17f89221eeea9bd6abab885f710d31758691
MD5 0e852ff6cc4f9af627c14e36ec2bd78d
BLAKE2b-256 03bbfbf5a3ee3fedc7d5ce92a425e777ef6ee620d4db726028a0bf0ec03542a9

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp35-cp35m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 773.1 MB
  • Tags: CPython 3.5m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 aec5245b459427bd4acea092bacbd6794bebaf65488caf931833a76cfbf9c5fa
MD5 6b65e6449a43e2bfbb49f2a66d5c5fdb
BLAKE2b-256 dab594ce035094590a56758037dce2160b147fcb2965860b9c22580b5e7047d6

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp27-cp27mu-manylinux1_x86_64.whl
  • Upload date:
  • Size: 773.1 MB
  • Tags: CPython 2.7mu
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 93e3542d57d413d4bbd75f34ce06b7a2840da3a258e3ce20c751b31a6c24189f
MD5 33e9483579968c427fd5778188dbd7bb
BLAKE2b-256 2fe990851b92b606c4fdd13fa971dd0d47e500736ee9e56fd94570341f08700c

See more details on using hashes here.

File details

Details for the file torch-1.3.0-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

  • Download URL: torch-1.3.0-cp27-cp27m-manylinux1_x86_64.whl
  • Upload date:
  • Size: 773.1 MB
  • Tags: CPython 2.7m
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/1.13.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.2.0 requests-toolbelt/0.9.1 tqdm/4.30.0 CPython/3.7.3

File hashes

Hashes for torch-1.3.0-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 7499fbc00ebbb04b6a6cc77ba7055b3b93460da87139dd8aeb357c5446a44cf8
MD5 dfb772db0a5eda2bf430ec402c53718d
BLAKE2b-256 f98984740770505a7a6f83fc18d992c9e53c981c998d2514b4171bd8a28b5b77

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