Official package for the artificial dendrite library for PyTorch, Perforated AI

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for perforatedai from gravatar.com perforatedai

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache 2.0
  • Author: PerforatedAI
  • Requires: Python >=3.6
Report project as malware

Project description

Official package for the artificial dendrite library for PyTorch, Perforated AI

Project details

Verified details

These details have been verified by PyPI
Maintainers
Avatar for perforatedai from gravatar.com perforatedai

Unverified details

These details have not been verified by PyPI
Meta
  • License: Apache 2.0
  • Author: PerforatedAI
  • Requires: Python >=3.6

Release history Release notifications | RSS feed

3.2.3

This version

3.2.2

3.2.1

3.2.0

3.1.4

3.1.3

3.1.2

3.1.1

3.1.0

3.0.9

3.0.7

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.2.5

1.2.4

1.1.0

1.0.9

1.0.8

1.0.7

1.0.6

1.0.5

1.0.4

1.0.3

1.0.2

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

If you're not sure about the file name format, learn more about wheel file names.

perforatedai-3.2.2-cp313-cp313-macosx_10_13_universal2.whl (2.1 MB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp312-cp312-win_amd64.whl (859.9 kB view details)

Uploaded CPython 3.12Windows x86-64

perforatedai-3.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp312-cp312-macosx_10_13_universal2.whl (2.1 MB view details)

Uploaded CPython 3.12macOS 10.13+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp311-cp311-win_amd64.whl (914.4 kB view details)

Uploaded CPython 3.11Windows x86-64

perforatedai-3.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp311-cp311-macosx_10_9_universal2.whl (2.2 MB view details)

Uploaded CPython 3.11macOS 10.9+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp310-cp310-win_amd64.whl (914.3 kB view details)

Uploaded CPython 3.10Windows x86-64

perforatedai-3.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp310-cp310-macosx_10_9_universal2.whl (2.2 MB view details)

Uploaded CPython 3.10macOS 10.9+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp39-cp39-win_amd64.whl (1.0 MB view details)

Uploaded CPython 3.9Windows x86-64

perforatedai-3.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (7.3 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp39-cp39-macosx_10_9_universal2.whl (2.2 MB view details)

Uploaded CPython 3.9macOS 10.9+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp38-cp38-win_amd64.whl (1.1 MB view details)

Uploaded CPython 3.8Windows x86-64

perforatedai-3.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (9.8 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp38-cp38-macosx_11_0_universal2.whl (2.3 MB view details)

Uploaded CPython 3.8macOS 11.0+ universal2 (ARM64, x86-64)

perforatedai-3.2.2-cp37-cp37m-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.7mWindows x86-64

perforatedai-3.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.9 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

perforatedai-3.2.2-cp36-cp36m-win_amd64.whl (1.2 MB view details)

Uploaded CPython 3.6mWindows x86-64

perforatedai-3.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (6.3 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

File details

Details for the file perforatedai-3.2.2-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 95263f763a6942e63b2fb90388e64b8cd14d1dadbba7b576fc89b12414b1f839
MD5 e811a4d0dc6ba88f00a0975925156c01
BLAKE2b-256 021f9c96c3275ecbb10f32e768f87f7d782cf30ae877715d906debfe400678aa

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5e21396c7546317259dfb53f5deb046eedd1c86a0fe4bfdc274802bf1fb8a767
MD5 eae75828ed037e196c6318e454ad7c35
BLAKE2b-256 036cc2c5a671ffed6490461940c8d53e7065727ef784834160f41d83a9389042

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fd2dfc3fa5002c2839bc97197cb76c399ba386aa991131fdd49b61da485b37be
MD5 3508b391c7728ca7ca65a8e212ae4ab8
BLAKE2b-256 be98019e48ff6df4ad77e6817f24e452bdb37c5ca55f0296afece22b6c3acaed

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp312-cp312-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp312-cp312-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 b2624790bdca4a18eb465bde3737c85bd7c3b47cdd9b416fe1aa33c500345af0
MD5 8534b903b5032224468fc70008447185
BLAKE2b-256 cf20ba674a5d212208dfab49d1e681f8bfa737e46c72055e59a44e7c854b8010

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 d29f4174520c8f9c4316276ec6749f578bf2a29db46b48381b65d4b0c0050343
MD5 a84050bc33099493c9ed7270710921cf
BLAKE2b-256 7b87705c1df90ba13bc16747fd2941427723070aa4c43c870e15b28f79f26f72

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fe97c8c957b5cf96f03f45327b84471515acd1d5e196a542024fb4411a5efa13
MD5 d9859243331eb782dd7d6fc426d3845e
BLAKE2b-256 5947ed2270bca18666f3add3801b8125d68ea6f70578c9831f47726103c83803

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp311-cp311-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp311-cp311-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 065dbce07a36afe9d9fa8687eb905e33bc867aa222c7950ebbb6a866a1b78ec9
MD5 c1c9d2c57e1027eb34abd087db95407b
BLAKE2b-256 cd052c46cdd7f17fc79a3eb4c3aa28d9fc519659ccdfcbeb8ee0c8d8d977f0ff

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f6b4ef4cbc85fa82c93d56fa96019c4ceeb61a74b8b928aa03b5088e5ff3888a
MD5 7aaa261657249762b0c8be7d1345db86
BLAKE2b-256 d4cec13a816c561326aa6efaa2cf910d5db778b3031921c0a1638f2665b93335

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 68df775f5bdc1f7cdb4e4e903d5ef9b6b8fe3414531ed4d7a330b8ffb74187c7
MD5 94191c1aecb4447c969736ee6c17351a
BLAKE2b-256 35abae467dd1d89bab32a7818d2e3a57399684cc479fed5ce6b5777735f5b48f

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp310-cp310-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp310-cp310-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 708838d540c52f7822fe370b4135f13bcc2bbaaf26db23daaaee20dcf7aac89b
MD5 96bd65ce7380582cf7755922c36b5c05
BLAKE2b-256 26a583d9b1bfcfb329122e86f2800df720bc2bb68b1fdc515ba4b2fdd8f2d7df

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: perforatedai-3.2.2-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.0 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for perforatedai-3.2.2-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 6811929830bf43bc8fdb03e8a362cabda9b00d716df654b7b36a82241e110835
MD5 b85a7380c4a83160c6e5b1269bed367c
BLAKE2b-256 563f225f98b3be28934cc5366965d4d9e324b46ad6e713e42be29e6e7f658082

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7781ef0db828b7a4508ea66bef9aee643638e8dfd5af5587b7fbc8df4726ce4
MD5 c9967266fb811f57de28e151523f8a62
BLAKE2b-256 5114642118eb10f961de5d0cd8fadefe00174226ac3f0383ff84bb22397d626c

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp39-cp39-macosx_10_9_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp39-cp39-macosx_10_9_universal2.whl
Algorithm Hash digest
SHA256 3f824d638b59a2536866ad3338f8c031cbc95c5bfb6881f73149c694114660ce
MD5 2c5fcf0121eba6b8465c8274ee591222
BLAKE2b-256 4c4ea9c41bc71a069cc6ed9d014a5df6f506e7042ea61b798aa22d5e4641aad5

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: perforatedai-3.2.2-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 1.1 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.3

File hashes

Hashes for perforatedai-3.2.2-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 e14e048bc9f431ce78e0ecf6cc45cd9fcb898ce6fee6ce97b4573e1064c850ee
MD5 624b7dd52934a53091c7ef74310c07a7
BLAKE2b-256 8aac9a180e55288a3175479ff46ceccb22aca46f071022f1d5aef788aa70e1eb

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 659949f915cebb91905d9a2f0391a232d878d6ed2e5be9d77b944eb31bb167fe
MD5 709da74487eb3a4de5afa771d3a03f10
BLAKE2b-256 719f56cd50a0770de38a7c9c7231b44236951e732c6aa54d382c239a458330d7

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp38-cp38-macosx_11_0_universal2.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp38-cp38-macosx_11_0_universal2.whl
Algorithm Hash digest
SHA256 eec7a0f34d39d7bc02c6b998c91d1b5bafd3d01240e336f830d39427a3ab56ba
MD5 7861cd7480aa19dc58c6b1c2c5d919f0
BLAKE2b-256 579b9dc9def23e060e304d591a96ad8a4b85ff7007c4a100593ad18d250cba63

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 cd655d78e3677b1119f5f83a9b0121f3c862d074d1322b8ce342fc7c1a37b4c5
MD5 6b9f4b07ebaabbe007805e5d5c22f032
BLAKE2b-256 861c0f936496679386cfe17059cef7df9695f8bbe534a76aeb640fe0818172d2

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5fbe2994240288b9be9f89fa8ded97b62b20ce19d244402483fb2f9be57389e4
MD5 b92691a2b1a2e833e82656b96968a78a
BLAKE2b-256 3f2ada9ec9986a96848cb80d0ae2706e0ea43a34d8ad619d7cf7f63bd8ccae71

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 5860c13f21e1b44a079be8d7cd85dc5043a58c226d28a7a3463f5a8d716a5da4
MD5 5cb9697e60b9b71a26e9be20a4c56e4b
BLAKE2b-256 ddb15ffc1683b75aaafd3f788250f948994f4eea7264a4841750621b0e9e141e

See more details on using hashes here.

File details

Details for the file perforatedai-3.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for perforatedai-3.2.2-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 363b38d44eba28db25d7fdb5524a9b300415160681f94069d3fb4578ccf7879c
MD5 90e5a08d600b0636a3c13e9b4bfdb6b4
BLAKE2b-256 d29626e77a1be222d81584934ce77f6e0d25b9c2679c8e70a45b66abdabe74cd

See more details on using hashes here.

Supported by

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