tensorflow-cpu

TensorFlow is an open source machine learning framework for everyone.

These details have not been verified by PyPI

Project links

Project description

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains.

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

2.18.0

Oct 25, 2024

2.18.0rc2 pre-release

Oct 16, 2024

2.18.0rc1 pre-release

Oct 7, 2024

2.18.0rc0 pre-release

Sep 30, 2024

2.17.1

Oct 24, 2024

2.17.0

Jul 11, 2024

2.17.0rc1 pre-release

Jul 2, 2024

2.17.0rc0 pre-release

Jun 18, 2024

2.16.2

Jun 28, 2024

2.16.1

Mar 9, 2024

2.16.0rc0 pre-release

Feb 23, 2024

2.15.1

Mar 8, 2024

2.15.0.post1

Dec 5, 2023

2.15.0

Nov 14, 2023

2.15.0rc1 pre-release

Nov 3, 2023

2.15.0rc0 pre-release

Oct 25, 2023

2.14.1

Nov 14, 2023

2.14.0

Sep 26, 2023

2.14.0rc1 pre-release

Sep 1, 2023

2.14.0rc0 pre-release

Aug 17, 2023

2.13.1

Sep 26, 2023

2.13.0

Jul 5, 2023

2.13.0rc2 pre-release

Jun 22, 2023

2.13.0rc1 pre-release

May 30, 2023

2.13.0rc0 pre-release

May 10, 2023

2.12.1

Jul 5, 2023

2.12.0

Mar 22, 2023

2.12.0rc1 pre-release

Mar 7, 2023

2.12.0rc0 pre-release

Feb 15, 2023

2.11.1

Mar 20, 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

2.7.4

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

2.6.5

May 23, 2022

2.6.4

May 16, 2022

This version

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

1.15.0

Oct 16, 2019

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_cpu-2.6.3-cp39-cp39-win_amd64.whl (241.1 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.9 Windows x86-64

tensorflow_cpu-2.6.3-cp39-cp39-manylinux2010_x86_64.whl (177.9 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.9 manylinux: glibc 2.12+ x86-64

tensorflow_cpu-2.6.3-cp39-cp39-macosx_10_11_x86_64.whl (204.6 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.9 macOS 10.11+ x86-64

tensorflow_cpu-2.6.3-cp38-cp38-win_amd64.whl (241.0 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.8 Windows x86-64

tensorflow_cpu-2.6.3-cp38-cp38-manylinux2010_x86_64.whl (177.9 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow_cpu-2.6.3-cp38-cp38-macosx_10_11_x86_64.whl (204.6 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.8 macOS 10.11+ x86-64

tensorflow_cpu-2.6.3-cp37-cp37m-win_amd64.whl (241.0 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.7m Windows x86-64

tensorflow_cpu-2.6.3-cp37-cp37m-manylinux2010_x86_64.whl (177.8 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow_cpu-2.6.3-cp37-cp37m-macosx_10_11_x86_64.whl (204.5 MB view hashes)

Uploaded Feb 2, 2022 CPython 3.7m macOS 10.11+ x86-64

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-win_amd64.whl

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-win_amd64.whl
Algorithm	Hash digest
SHA256	`73c33f70ba81c3709e8e7eabc600fceb8ed7e7636020454420a80078edcfe375`
MD5	`882375fa1d6b9b05190a7bea22cafdb0`
BLAKE2b-256	`02cd50fb9f2db49aa33ba7db3f0d8af795b6c226a529ad4e03e9d5d730536fb8`

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-manylinux2010_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`0f4cd45faa70ffee72435136f748672009ddb806397290662d30d7314d65e069`
MD5	`9bfd004d7c5b7d76ada7c18d9a93b17b`
BLAKE2b-256	`24e5ffdbf1a342a1107772f513e204fe9739860b3169effe2e8f5525cdbf7cd6`

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-macosx_10_11_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp39-cp39-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`0d26ce0e9ae372c7a3a170655fc5ffab43edb5051c0532f630399122f64cd23e`
MD5	`56a6a01b6e891a5419857b90bc6be955`
BLAKE2b-256	`d1cc96326a98889c2e064b43cc4cc94dac0ecf63975b4f79f1bc52ff50ae3752`

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-win_amd64.whl

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-win_amd64.whl
Algorithm	Hash digest
SHA256	`deae0b7a1d211fa91b0afca7d9cc86e20f017171b34d4ffe54b39424ac9ae7db`
MD5	`dfa52623e271f0ed18004e5bd81c71a0`
BLAKE2b-256	`69799a8a55a5e088ab02fe193ac12b82bc8974c5b4d369717a810bcdadf11527`

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-manylinux2010_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`b6992515018b74fea65b11aca3e67c266aa5614df7a1b8d6b36f4d3bda71f501`
MD5	`82492d00fe11039aa0068ada21c0101e`
BLAKE2b-256	`df698d3aa40bfdac5b287b79275f7f76b599a6f38f89455808f4d07e876513e8`

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-macosx_10_11_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp38-cp38-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`492476eaed46505b20ce6b671f3eea07882d5e2593e3ef33c3ace5151333577f`
MD5	`f74fee106d0ea9dd8eb52eb6815ab273`
BLAKE2b-256	`e15ae97d89d3abe34a3448ee65d1e6fe8811ef21b33df10b3703769fc60d97d5`

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-win_amd64.whl

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-win_amd64.whl
Algorithm	Hash digest
SHA256	`b66e1e14503fefcec9006bec178be235985304f15c182db579097d6196e7d558`
MD5	`9bd0e99c4b588aff3fc3b4e47f6a7546`
BLAKE2b-256	`911c33ae72dd7e8400a46dc28836c66a14ecc777a32918d846e776c98bd88cbd`

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`3d433ef6e74d0e0adc98ddda4da43c1b61a0d70a7963b8af6fe4c372f2b936b9`
MD5	`dea2da9ef09ddab8b4be233431e1f6d2`
BLAKE2b-256	`6cbed8691c25b25435f00b6157e78953ce9da8e3331da654d8cfd7529db9f567`

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-macosx_10_11_x86_64.whl

Hashes for tensorflow_cpu-2.6.3-cp37-cp37m-macosx_10_11_x86_64.whl
Algorithm	Hash digest
SHA256	`e03335c5283bdbbc5f8226a859562778911a1bec413598e78f74f4aa7992646a`
MD5	`76509a988beeac1d62566ce271ea8a31`
BLAKE2b-256	`3cde4478bd25552fc04c032ede4c2f04254388d003df730bbc359c1070e63ea3`