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


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-2.10.0-cp311-cp311-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.11 Windows x86-64

akida-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ x86-64

akida-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.28+ ARM64

akida-2.10.0-cp310-cp310-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.10 Windows x86-64

akida-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ x86-64

akida-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.28+ ARM64

akida-2.10.0-cp39-cp39-win_amd64.whl (1.3 MB view details)

Uploaded CPython 3.9 Windows x86-64

akida-2.10.0-cp39-cp39-manylinux_2_28_x86_64.whl (1.6 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ x86-64

akida-2.10.0-cp39-cp39-manylinux_2_28_aarch64.whl (1.5 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.28+ ARM64

File details

Details for the file akida-2.10.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: akida-2.10.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 1.3 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-2.10.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 4e28a9f588b36137a9164164de634ee3fcd38ed99016566c852c7b87eda9eb36
MD5 4a192333f2e3dd2b82cb0e188959f1fd
BLAKE2b-256 0ba4241e7e8cfa56703d41a50d82585634e9f96d045af237447ab510d145160d

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp311-cp311-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 7a8ee654260fe4764679cecbd74dce66030de8d2a7dc1b7ebf2d0e3d71d5b78b
MD5 20d8e3f3d8fb61b652349f4d0228ef67
BLAKE2b-256 da41b9fccd8d98bb3d1d1e266dd3b077baba8be114f90974c04e992264591402

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp311-cp311-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 5d7f692cc986c4a9b7813bb5cf3bb0d534198eb2c63d50b07995069a664e0ff1
MD5 c3a537979442a52d28534ff16a0962bd
BLAKE2b-256 3dcf1dcf844a3acfd58ad9c1b3fd0b73a7bde666df4a9cf3bc77eab492a2a839

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: akida-2.10.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 1.3 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-2.10.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 f0c75c61e1fe003812792f0a07461d33c820f54b413de9833d55fde1333ded15
MD5 a3eb903b0392c1968d2baf2ad432c7cb
BLAKE2b-256 ab8a58ce2811ce3555cd8115e5ee1bd7fb79c0cdbddbbb871473f516d04d307d

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp310-cp310-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 e4b283a36c5433ed0af261ef693deb1c0a3b03c2e9a65d96e54bf0efc6fdb471
MD5 5bb5b5cceff6d14130d910e92c27d7c3
BLAKE2b-256 7cee9f7de1b8dcf1ca2d87b88cc7defd35d256cd129542f2dc1d79728e39db0e

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp310-cp310-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 ab0462de468525382a1c9939dc6d4b28e37807bf93c5a5e2ad8a6348d4eb81fc
MD5 e4007e2f05ffcfa88d8144a5b23324c9
BLAKE2b-256 c344e630b7bf33fae023133e36de30d900f7b0394864ef01ab721cbf30f692b4

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: akida-2.10.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.3 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-2.10.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 e302eaa73a65733e510512ce81150f325d4854a747c6a9d434f2af8c69aff9e7
MD5 7c470170033825e69a1327909087fcea
BLAKE2b-256 b114740c60e6388eab9b41f41c827a7442d9dcd32afb581e532003d0d1092904

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp39-cp39-manylinux_2_28_x86_64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp39-cp39-manylinux_2_28_x86_64.whl
Algorithm Hash digest
SHA256 d7f37e1bf95a61b1fb46785eb56cc618723e101db2e882f5fe02c3deb6ffdffc
MD5 6f031c061c25f6df6d823ceda89e6c33
BLAKE2b-256 805b71c8e5aa473088f8a59536b266bab580b4dbd9bda505348aa08d4d96ada5

See more details on using hashes here.

File details

Details for the file akida-2.10.0-cp39-cp39-manylinux_2_28_aarch64.whl.

File metadata

File hashes

Hashes for akida-2.10.0-cp39-cp39-manylinux_2_28_aarch64.whl
Algorithm Hash digest
SHA256 36f4f740932d2f82f9b17e273c6cc470552c71881d1f3e0ce51d95dff1cbe8b6
MD5 4fd6b8a221f3d69d8e9c3c89f4631ebf
BLAKE2b-256 06c84b13bb0925b7d0b38a2dceac78610594cdd14ec6fcb303b1f98700ea4056

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 Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page