tensorflow-gpu

TensorFlow helps the tensors flow

Project description

UNKNOWN

Project details

Release history Release notifications | RSS feed

2.12.0

Jan 24, 2023

2.11.0

Nov 18, 2022

2.11.0rc2 pre-release

Nov 2, 2022

2.11.0rc1 pre-release

Oct 19, 2022

2.11.0rc0 pre-release

Oct 18, 2022

2.10.1

Nov 16, 2022

2.10.0

Sep 6, 2022

2.10.0rc3 pre-release

Aug 29, 2022

2.10.0rc2 pre-release

Aug 23, 2022

2.10.0rc1 pre-release

Aug 15, 2022

2.10.0rc0 pre-release

Aug 3, 2022

2.9.3

Nov 16, 2022

2.9.2

Sep 3, 2022

2.9.1

May 23, 2022

2.9.0

May 16, 2022

2.9.0rc2 pre-release

May 4, 2022

2.9.0rc1 pre-release

Apr 21, 2022

2.9.0rc0 pre-release

Apr 12, 2022

2.8.4

Nov 16, 2022

2.8.3

Sep 2, 2022

2.8.2

May 23, 2022

2.8.1

May 16, 2022

2.8.0

Feb 2, 2022

2.8.0rc1 pre-release

Jan 24, 2022

2.8.0rc0 pre-release

Dec 22, 2021

2.7.4

Sep 2, 2022

2.7.3

May 23, 2022

2.7.2

May 16, 2022

2.7.1

Feb 2, 2022

2.7.0

Nov 4, 2021

2.7.0rc1 pre-release

Oct 22, 2021

2.7.0rc0 pre-release

Oct 7, 2021

2.6.5

May 23, 2022

2.6.4

May 16, 2022

2.6.3

Feb 2, 2022

2.6.2

Nov 4, 2021

2.6.1

Nov 1, 2021

2.6.0

Aug 11, 2021

2.5.3

Feb 2, 2022

2.5.2

Nov 1, 2021

2.5.1

Aug 10, 2021

2.5.0

May 13, 2021

2.4.4

Nov 1, 2021

2.4.3

Aug 10, 2021

2.4.2

Jun 15, 2021

2.4.1

Jan 21, 2021

2.4.0

Dec 14, 2020

2.3.4

Aug 10, 2021

2.3.3

Jun 15, 2021

2.3.2

Jan 6, 2021

2.3.1

Sep 24, 2020

2.3.0

Jul 27, 2020

2.2.3

Jun 15, 2021

2.2.2

Jan 6, 2021

2.2.1

Sep 24, 2020

2.2.0

May 7, 2020

2.1.4

Jun 15, 2021

2.1.3

Jan 6, 2021

2.1.2

Sep 24, 2020

2.1.1

May 18, 2020

2.1.0

Jan 8, 2020

2.0.4

Jan 6, 2021

2.0.3

Sep 24, 2020

2.0.2

May 18, 2020

2.0.1

Jan 26, 2020

2.0.0

Sep 30, 2019

1.15.5

Jan 6, 2021

1.15.4

Sep 24, 2020

1.15.3

May 18, 2020

1.15.2

Jan 26, 2020

1.15.0

Oct 16, 2019

1.14.0

Jun 19, 2019

1.13.2

Jul 16, 2019

1.13.1

Feb 26, 2019

1.12.3

Jun 21, 2019

1.12.2

Apr 18, 2019

1.12.0

Nov 6, 2018

1.11.0

Sep 27, 2018

1.10.1

Aug 24, 2018

1.10.0

Aug 8, 2018

1.9.0

Jul 10, 2018

1.8.0

Apr 28, 2018

1.7.1

May 8, 2018

1.7.0

Mar 29, 2018

1.6.0

Mar 1, 2018

1.5.1

Mar 20, 2018

1.5.0

Jan 27, 2018

1.4.1

Dec 8, 2017

1.4.0

Nov 1, 2017

1.3.0

Aug 16, 2017

1.2.1

Jun 30, 2017

1.2.0

Jun 15, 2017

1.1.0

Apr 21, 2017

This version

1.0.1

Mar 8, 2017

1.0.0

Feb 15, 2017

0.12.1

Dec 28, 2016

0.12.0

Dec 19, 2016

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

tensorflow_gpu-1.0.1-cp36-cp36m-manylinux1_x86_64.whl (95.2 MB view hashes)

Uploaded Mar 8, 2017 cp36

tensorflow_gpu-1.0.1-cp36-cp36m-macosx_10_11_x86_64.whl (89.0 MB view hashes)

Uploaded Mar 8, 2017 cp36

tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl (43.1 MB view hashes)

Uploaded Mar 8, 2017 cp35

tensorflow_gpu-1.0.1-cp35-cp35m-manylinux1_x86_64.whl (94.8 MB view hashes)

Uploaded Mar 8, 2017 cp35

tensorflow_gpu-1.0.1-cp35-cp35m-macosx_10_11_x86_64.whl (89.3 MB view hashes)

Uploaded Mar 8, 2017 cp35

tensorflow_gpu-1.0.1-cp34-cp34m-manylinux1_x86_64.whl (94.8 MB view hashes)

Uploaded Mar 8, 2017 cp34

tensorflow_gpu-1.0.1-cp34-cp34m-macosx_10_11_x86_64.whl (89.3 MB view hashes)

Uploaded Mar 8, 2017 cp34

tensorflow_gpu-1.0.1-cp33-cp33m-manylinux1_x86_64.whl (95.2 MB view hashes)

Uploaded Mar 8, 2017 cp33

tensorflow_gpu-1.0.1-cp33-cp33m-macosx_10_11_x86_64.whl (89.3 MB view hashes)

Uploaded Mar 8, 2017 cp33

tensorflow_gpu-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl (94.8 MB view hashes)

Uploaded Mar 8, 2017 cp27

tensorflow_gpu-1.0.1-cp27-cp27m-macosx_10_11_intel.whl (89.0 MB view hashes)

Uploaded Mar 8, 2017 cp27

Hashes for tensorflow_gpu-1.0.1-cp36-cp36m-manylinux1_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`3428f6dc8925b2fa758bd9a5a31215d42c95b02ef9f6f92666de7dc6d6575f9e`
MD5	`5d2f6b36a217a3add779f4b3a235ca72`
BLAKE2b-256	`dc1b4c69ecf43c4fe3a04912e7f185c8e395c6b93c62c77d0371d60a09ee9b74`

Hashes for tensorflow_gpu-1.0.1-cp36-cp36m-macosx_10_11_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp36-cp36m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`b4e1fd57ec05a554507d60177ddd5af1b1b2332f455a6bf04d617e681be95568`
MD5	`1b4752a8f7ab7eb60d0c2538d2c6074c`
BLAKE2b-256	`924f3f20433f514a3c17aad48ce1b13b785b939ee08edfd152674cf89c4cafd9`

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-win_amd64.whl
Algorithm	Hash digest
SHA256	`2c2fbd8b97497a0e8136508cd4927408a770872193c1e035e607166780566860`
MD5	`f330d0aeacbd0fc76084764d16b1eed0`
BLAKE2b-256	`b8767c746ffc96dd4eaa230b22ea06a965a480f7f6db5a7f7f7dcc1ae749e6ca`

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-manylinux1_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`e151b4fad4d52376462e289c6d8a985ce4b4ebb82f2114d9340a216475a1d4fe`
MD5	`144baae1d0446e34426457721c1e0c90`
BLAKE2b-256	`5d7cecd5e3009cc85b41a5313eb09693ddc976cf4afe694b6e151709810c944c`

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-macosx_10_11_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp35-cp35m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`81942a963c40196318c12f6d20ba78b468fbb6568409034b37fe8818ce1c10c3`
MD5	`44f7f6dee748319504b4dd39cd5cf732`
BLAKE2b-256	`ce9e30335222fd633fe362a86352f47e714035ba380375d89d13dabb256c33f4`

Hashes for tensorflow_gpu-1.0.1-cp34-cp34m-manylinux1_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp34-cp34m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`a7720cbbf5d9d16ed9eb6fdd2243e4592fee6575d71fd936bdd21475009dec1e`
MD5	`93dbbaa5c49ef133712aca34fe07c278`
BLAKE2b-256	`866e05494acab52976660957f95a1e8c626300c252012ae1dfb5fab6a3951215`

Hashes for tensorflow_gpu-1.0.1-cp34-cp34m-macosx_10_11_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp34-cp34m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`f3d3d9f0b7f6388c1c69dfb0b0f79d563422db6fd8327dfca28d42789f105f5e`
MD5	`563cb448a3764e2a12a8e2bb7cf22658`
BLAKE2b-256	`9174a32889f0b515b067790dadb0d6a4ac55ec13b33b636502452124201a620c`

Hashes for tensorflow_gpu-1.0.1-cp33-cp33m-manylinux1_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp33-cp33m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`55c1373dda25fdb9cfc9ffa691280b804555dcdf8458b97d30c0c1c3d4deb65d`
MD5	`6bc9ed1a22c70c0eb99a3578d74727a0`
BLAKE2b-256	`cc8e84670a077f78f8b7dca0d6da0873203befbaf9a5100b3bb55a8d9100c156`

Hashes for tensorflow_gpu-1.0.1-cp33-cp33m-macosx_10_11_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp33-cp33m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`cec8aee233af8ea8a6612c11aba080aeefc9e13a10219799c49b8d4e2d4017e0`
MD5	`230bd824132354c4f2d04305989d0196`
BLAKE2b-256	`4727a18b4b877e00e437e88730b63795e35e84f9e2c5a159152347e7ce844de9`

Hashes for tensorflow_gpu-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl

Hashes for tensorflow_gpu-1.0.1-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`3b5ad440a5372a17a17c26c51c4d2cff305cec6e4dfc9e4065eb1effa05a3610`
MD5	`c06b11dee765a99b1814ca393aaf558a`
BLAKE2b-256	`04c4ffb89dbea9e43e82665ff088fd08aa25aa93301aa8c480de278c8f576ea1`

Hashes for tensorflow_gpu-1.0.1-cp27-cp27m-macosx_10_11_intel.whl

Hashes for tensorflow_gpu-1.0.1-cp27-cp27m-macosx_10_11_intel.whl
Algorithm	Hash digest
SHA256	`052eaf0398a4c1b226712d90c87f19856db5a82d3d7447af1e7f041c562463de`
MD5	`1c7924759414fe64988bfdc9939ea63a`
BLAKE2b-256	`372d13d2813a23bb4f323da7c825b63d54b2bdbced4a78ea5b24170ee5d125f9`