Skip to main content

Akida Execution Engine

Project description

Akida Execution Engine

The Akida Execution Engine is an interface to the Brainchip Akida Neural Processor. To allow the development of Akida models without an actual Akida hardware, it includes a software backend that simulates the Akida Neural Processor.

Project details


Release history Release notifications | RSS feed

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

akida-2.14.0-cp311-cp311-win_amd64.whl (2.0 MB view details)

Uploaded CPython 3.11Windows x86-64

akida-2.14.0-cp311-cp311-manylinux_2_28_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ x86-64

akida-2.14.0-cp311-cp311-manylinux_2_28_aarch64.whl (2.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.28+ ARM64

akida-2.14.0-cp310-cp310-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.10Windows x86-64

akida-2.14.0-cp310-cp310-manylinux_2_28_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ x86-64

akida-2.14.0-cp310-cp310-manylinux_2_28_aarch64.whl (2.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.28+ ARM64

akida-2.14.0-cp39-cp39-win_amd64.whl (1.9 MB view details)

Uploaded CPython 3.9Windows x86-64

akida-2.14.0-cp39-cp39-manylinux_2_28_x86_64.whl (2.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ x86-64

akida-2.14.0-cp39-cp39-manylinux_2_28_aarch64.whl (2.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.28+ ARM64

File details

Details for the file akida-2.14.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: akida-2.14.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 2.0 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for akida-2.14.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 99b5624e677909684b1b04a3265ad1db88ec94c4c61c81ff07399e6e230b5e32
MD5 eef2c800f6a9ab4aa5f7c8f5b64347f1
BLAKE2b-256 ebf3b5b3718abebfc476d8d9c3288ea1b27c9c758abe311833e10b59a868c7a2

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 4833c58c8ab20d95fb3a251c1484b175b477ef6cace59f99e37ad3b91e527534
MD5 5cd647898c77ba3423b2e5e88aa65d14
BLAKE2b-256 9f952a7f3efbd5832b53cb90784fcb7861c90a82374dc2fcb7b3c49e695d6e54

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 95177c8ff4ab42d4d47468aa8984e673758e393163ef46c04db08b6df987005e
MD5 d1aceec0a91f4c965dbae7f686f7e849
BLAKE2b-256 b692c2dd848d03e92a8e429dffff5e3069b52e2232de8e0bf26cd86de7700575

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: akida-2.14.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for akida-2.14.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 78ff7c5ebc7b3f48042bc3080face1074836893bb8cf6ff995b765a0df41f6b1
MD5 4de24359d329b48387a908e9e79fdc82
BLAKE2b-256 88f0366d846f8d7f0c9432d8b976b9dfd1e24f8343582e2edafe36ce95bd309b

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 38a53c69b3750f097d6fe4a69fc0b02904bb9f7bb6235b223e4f74ceed15ea59
MD5 61b124f2e3da0c553363dd59a0746944
BLAKE2b-256 545aa2a818f7374a75ac187e4cfe5d60c6abd2d9d8cc61029539944b2c840f06

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 a266f3aec9aa0dc53096dbee84f27149ae7f7b9de6a8e7a42daaeda3ccb28c55
MD5 f18f40b617e53c19cc726877f3e95cda
BLAKE2b-256 953944262c8af4e1d95ad91a7b92820af15cfd0f31a776b12d6c82a7a05955cd

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: akida-2.14.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.9 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.0 CPython/3.11.9

File hashes

Hashes for akida-2.14.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 657839ace2626c047bab5fdfce76cf1da5ac75e54a3ed8b1b778c43174e5f532
MD5 2161e85a21c7fb84e50650a6c369d939
BLAKE2b-256 40758d8c39135490af78b0ee18e5920fe2055d4f4452546451642c109384c2bc

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 ec10561df054b7fd2674a7a9a891d720415a8248bf3e768449be599316d521d7
MD5 3b8d0a998296c0b49f4cb2b6fa611cbe
BLAKE2b-256 b15c5773d9b17c2ed58db7d07dd74cbb97b3cdf582ee76b22546d2ad160a8f4c

See more details on using hashes here.

File details

Details for the file akida-2.14.0-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.14.0-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 2a55f604ef6d09b31be1715d83fc14b6f43c9ea0ce55b2c27715279c2556adfa
MD5 6741ab82d206e24be0695930e693b0c0
BLAKE2b-256 101b8ab32e7b4b42abcda2ae66d54e163c77b33c75011999757ff0e75d30c7fa

See more details on using hashes here.

Supported by

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