Skip to main content

Neural network model compiler for Arm Ethos-U NPUs

Project description

Vela

Vela is a compiler for Arm Ethos-U NPU edge AI devices. It is used to convert neural networks defined in TOSA or TensorFlow Lite/LiteRT format into Ethos-U command streams.

The input network must have quantised activations and quantised weights in order to be accelerated by the Ethos-U.

More details about Ethos-U devices:

Installation

Vela runs on:

  • Apple macOS
  • Linux
  • Microsoft Windows

The simplest way to obtain Vela is to install it directly from PyPi. The following will install the latest released version:

pip3 install ethos-u-vela

Requirements

If your system does not match one of the pre-built binary wheels on PyPi then the installation process will attempt to build Vela from its source code. To do this it requires the following:

Manually Building

The source code is available from Arm's GitLab Instance, see Building From Source for more details.

Getting Started

Once installed, Vela can be run from the command line by specifying just two settings:

  • Target Ethos-U device; --accelerator-config
  • Neural network file; .tflite or .tosa
vela --accelerator-config ethos-u55-128  my_network.tflite

However, it is highly recommended that you specify some additional settings that describe the Ethos-U system and what optimisation strategy the compiler should use. The three additional settings are:

  • System configuration; --system-config
  • Memory mode; --memory-mode
  • Optimisation strategy; --optimise

The system configuration and memory mode refer to definitions in a configuration file. These are specific to the target system. However an example configuration (Arm/vela.ini) containing some generic reference systems is provided as part of the installation.

The optimisation strategy indicates whether the compiler should minimise inference time or runtime memory usage.

See CLI Options for more information.

Example of how to set the system configuration and memory mode:

vela --config Arm/vela.ini --system-config Ethos_U85_SYS_DRAM_High --memory-mode Dedicated_Sram_384KB --accelerator-config ethos-u85-256  my_network.tosa

Example of how to set the optimisation strategy:

vela --optimise Size --accelerator-config ethos-u55-64  my_network.tflite

Command to list all known configuration files:

vela --list-config-files

Command to list all configurations in a configuration file:

vela --list-configs Arm/vela.ini

Output

The result of the compilation is an optimised network in either TFLite or Raw format depending upon the input network. This can be overridden using the --output-format option.

TFLite output contains TensorFlow Lite Custom operators for those parts of the network that can be accelerated by the Ethos-U NPU. Parts of the network that cannot be accelerated are left unchanged.

Raw output contains the command stream and weight data required to run Ethos-U parts of the optimised network. This is stored in .npz format. See the Output format CLI Option for more information. This does not contain CPU parts of the network and so cannot be used for converting TFLite to TOSA.

Warnings

It is important to thoroughly review and understand all warning messages generated by the compiler as they could indicate that not all operators were optimally converted to run on the Ethos-U.

Performance information

A performance estimation summary is reported after compilation. The cycle and bandwidth numbers should not be taken as accurate representations of real performance numbers and they should not be compared against those from other compilations that use different settings or configurations. The numbers reported allow the compiler to make its optimisation decisions only. For accurate performance numbers the network should be run and profiled on an FPGA. For approximate performance numbers the network can be run on a Fixed Virtual Platform (FVP) Model.

Additional Vela Information

Inclusive language commitment

This product conforms to Arm’s inclusive language policy and, to the best of our knowledge, does not contain any non-inclusive language. If you find something that concerns you then email terms@arm.com.

License

Vela is licensed under Apache License 2.0.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

ethos_u_vela-4.3.0.tar.gz (2.3 MB view details)

Uploaded Source

Built Distributions

ethos_u_vela-4.3.0-cp313-cp313-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.13Windows x86-64

ethos_u_vela-4.3.0-cp313-cp313-win32.whl (1.4 MB view details)

Uploaded CPython 3.13Windows x86

ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl (1.9 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ i686

ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.7 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

ethos_u_vela-4.3.0-cp313-cp313-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

ethos_u_vela-4.3.0-cp312-cp312-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.12Windows x86-64

ethos_u_vela-4.3.0-cp312-cp312-win32.whl (1.4 MB view details)

Uploaded CPython 3.12Windows x86

ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl (1.9 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ i686

ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.7 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

ethos_u_vela-4.3.0-cp312-cp312-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

ethos_u_vela-4.3.0-cp311-cp311-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.11Windows x86-64

ethos_u_vela-4.3.0-cp311-cp311-win32.whl (1.4 MB view details)

Uploaded CPython 3.11Windows x86

ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl (1.9 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ i686

ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.7 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

ethos_u_vela-4.3.0-cp311-cp311-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

ethos_u_vela-4.3.0-cp310-cp310-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.10Windows x86-64

ethos_u_vela-4.3.0-cp310-cp310-win32.whl (1.4 MB view details)

Uploaded CPython 3.10Windows x86

ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl (1.9 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ i686

ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.7 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

ethos_u_vela-4.3.0-cp310-cp310-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

ethos_u_vela-4.3.0-cp39-cp39-win_amd64.whl (1.5 MB view details)

Uploaded CPython 3.9Windows x86-64

ethos_u_vela-4.3.0-cp39-cp39-win32.whl (1.4 MB view details)

Uploaded CPython 3.9Windows x86

ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (1.8 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl (1.9 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ i686

ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (1.7 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

ethos_u_vela-4.3.0-cp39-cp39-macosx_11_0_arm64.whl (1.7 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

File details

Details for the file ethos_u_vela-4.3.0.tar.gz.

File metadata

  • Download URL: ethos_u_vela-4.3.0.tar.gz
  • Upload date:
  • Size: 2.3 MB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0.tar.gz
Algorithm Hash digest
SHA256 af51afe31b62f250299504f7ba52a7438df3d81fe0dbd3c6427cee3bb83984fe
MD5 49546792f39b2d2a140b9f7e13ff2b88
BLAKE2b-256 3b318264d1ad9d8c3a2f9cb2b6ad023252c0f33940c5c4d6c89be2c9e071d935

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-win_amd64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 cd213936b06c9dac9b75e33c2d502ffd10287fd735f173660e30400281516b94
MD5 330b3b51f5732ee720af6cac375f9cb4
BLAKE2b-256 876db5f8e30957e4219b4d661bdac0669d57962d7a4cd93c8526f0c601ca2be3

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-win32.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp313-cp313-win32.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.13, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-win32.whl
Algorithm Hash digest
SHA256 8a4f1ae5e29c24af8deb05d636a75cbede67ed62c63fc1212b5472f0b87b43a4
MD5 b3cb5151f75deb6e30d4626453dfb7ef
BLAKE2b-256 55f366e0901c0960dd91a609768c2815a6ca262af259813c46bc024eaf129cf0

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a7bd4632c00db22d96d20e0848bd60b09b93bd26c24c1f27969e4d92064832d4
MD5 6f5fde3b0a51bd71e6a605a1d9fe533f
BLAKE2b-256 429c44303a978bc61f3689f7680d10e669c8468376939bc5fe9b2f8e50298264

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 50f89d83d3190a31aea4dda88802a68ab784ff017b8495003ab630d5087128ce
MD5 c1bbc52f13024285d4be472e167264dc
BLAKE2b-256 93729350fe2c45286c1df051982dc479ac3281c5422ec7bbf46acb611ab5f989

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 dbc8f08a3b57fe835d9306068da6bd2b973565571ddd4adb83622dc7c45f1172
MD5 4296cab60cc304cee4f4fb57f5a87e63
BLAKE2b-256 b4f3258ac4d6308ed3d7d0902f64064941fe2fea39382c4fa96f1cedc3b4e0f6

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c15a4d5d557be2cec326e775c281a36df1d5659c062e310b6838f893ce336e87
MD5 2473d38a11ab8cd569abdd8a53807ef2
BLAKE2b-256 a3fe11e7f9113fc8a7522c3b68ab9f592284c0afe2555cec215ce60671c0db61

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 0521e21e43405d9ba3e7008df3f89558963ee01b4aeb06aadce4de6526102b37
MD5 23f9175261b96466efbf9c8d15d61421
BLAKE2b-256 b020fc4d21967982c991975e2008f7487615f5ca0bb6e5faa5da5aeebd1d43f8

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-win32.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp312-cp312-win32.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.12, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-win32.whl
Algorithm Hash digest
SHA256 180968eaed1e05e1985f62c38b50cd47ba17bcce9912a4910fd3bddeeb3172fc
MD5 9f5302a4d00063daf508777ee834a3a7
BLAKE2b-256 a1a30310c08cfffc0883f2aaaf7f9d106c87f823eb0bcdf3a5bf2efcf40db9ae

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2f1d13d58eaacec0d7e5b8e51e4be7866f5ed5a6b2d799fa1460a12f31f867d7
MD5 c83cb96b923815381b7dab6aa0c31fba
BLAKE2b-256 fe779eca7a01c645da641433699fb4bea41fdc2500195c3c6a5ac775f339ac54

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 63fe27450d06c74c42b45f48826fdb933cd882923ce0a691b920d6b5c02746da
MD5 2617251b99b88daa5572df5efe9ac480
BLAKE2b-256 20d36bdcc2428ef4a685a0ea9d96dcfa3ac4f8bc59be9f9bdc76de7c9b8bd539

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2dd11907bc6005d15fc7b319eacbe6a329d6a196089286e795e0d0ee7092ba06
MD5 7a583102f1a453a80eb525cba5bb1c2e
BLAKE2b-256 fcffc8f2b584845b9722194fdbdc7c60d95dadd79696ca21dc05f6ebf54780fa

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 98a263ef8b750ac372919d56769fcfaf8c5c7f36bfef8fc4013f50238790e9e1
MD5 ab6e4891e5ae59f109eebed53c676338
BLAKE2b-256 2862748bf43da2a4c2cf0f363767160b87156825eca5e21d6d4e6fd42aceb441

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 417580e415e14d17124ee51d6c901856b52375897f7b90b40940515d8cc1cc7e
MD5 3f0f5038a8f2af8a8c61e753aa2e9f20
BLAKE2b-256 e918ac379141eb2b7369f228e9214adf8042c0bbc029c12c466bbec75eb7d8fa

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-win32.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp311-cp311-win32.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.11, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-win32.whl
Algorithm Hash digest
SHA256 068555dd60417d34f6f4d0641294918351722a7478e67f0b8dbcea2a8ba03299
MD5 89131377a2c9d3dedf974c8f2809e59e
BLAKE2b-256 94ae754d53d5ba1a715da3cbdfe1ff89fbb15a80b8ece60b2b5c22d81f372fcb

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d0e8c2f52f552f3994bed347299a10f19bfc8addf17769ea4363f4d693074afd
MD5 7bf024a3313276c88678c078ed042d22
BLAKE2b-256 b1fc3ee6e78a980ce883ea19dcced16f445b18e90aa27fc233947c1d5ad2f85c

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 8e57936e83b3b1c443c47fb69e7b16298b926de25488d985b83b29d93aa8b0c0
MD5 4ed88352edbb49f06b05cf5f8635c878
BLAKE2b-256 f923a8d0f588991780aaf6f743e08a30e46430e43b34fd31781b673d7a5ed025

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 efd925abb01c647804fd38497b65c4423b3c0a5d01c7051a7c3a0aee086857b7
MD5 3aa6b02c46cb6c37bc41ef93aeb3fe1e
BLAKE2b-256 d49c24e5ac0a5f403d882585c5a25b4ce9bc60c62f77a9af1afa203b80ebd05b

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 0fedc72642a3079ab54bb379684c16a98f6158da4d2210efae1b0099298e4f23
MD5 49d005bf6d72766c66e79c3f9f92078b
BLAKE2b-256 a6c86d42701040bdfab6b1eea01a9ac06b2a4fd66dd81e326751b88c11c9ce6c

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 8cd00c569ede83cd33b6bca03c32493c9200012623d83d64191ef9902c1effdd
MD5 8d5eee0f8e7b65e7297d7a8be0b0ee51
BLAKE2b-256 683314475fb3052b7d398c65dcbc1f0f04256b8ddad4ba531e334240561ee1b9

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-win32.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp310-cp310-win32.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.10, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-win32.whl
Algorithm Hash digest
SHA256 bf7feee101a77576e48de27e2a27728455f1566070059d4bdb051e385d789fa6
MD5 1f5d06f44d13213683aab0c89f4f4d30
BLAKE2b-256 162186b4d54ad9d255f14222e70c9aa90080680be0566018390934ee9b2cf470

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d7527374642c5d34f5315551b0b70f09fc485178b3e7c84de28523841e7e96bc
MD5 5f373b071dbb8869020cafe093328ade
BLAKE2b-256 a5e76644b2c60cd507ae730a34ad50ca528a8fad1eb7e623b91d0498c8f549c9

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 6c47daebce4f74fe1bc990b9866c88d9db6b8cbc0a87a7905cc7e63102617419
MD5 26c74d6d98e7a13d1ba0a930f3a5557a
BLAKE2b-256 1f221fdfd9856489eb25d51dc53ee6814b878e4c5f9ce0ef3edfdd6382a02ab2

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 09ee8e3a29b2750ac14767f8678c11a6fa25620adfae5be9a8d8ef5f3b5dd799
MD5 2e4ac74f2eecfbf399e2669cf09add60
BLAKE2b-256 2bbea293c404461920d35fa73de75523d76d8cb8794d1174c2174fb4ed37c71d

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5b3a9e1656393aa13d4546c3f586414ceec080d63602baae36014e695f38d2db
MD5 b6afe33d8b6d23add066aab2672b91a9
BLAKE2b-256 0c045dabb88ee98b0b8066c3bc6bba7924c685a0cedf660f3bc2597786339e6a

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 1.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 17be194f388d613b2f22f7e19f49d6a274ab82fb8f56ee4603025ecbc168a4e0
MD5 c98b9a77539952e66e7b33eb655d5361
BLAKE2b-256 149eaf993086941e79abe081fa0def24517d7af66eb519b83d64d3162ccabca2

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-win32.whl.

File metadata

  • Download URL: ethos_u_vela-4.3.0-cp39-cp39-win32.whl
  • Upload date:
  • Size: 1.4 MB
  • Tags: CPython 3.9, Windows x86
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.10.17

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-win32.whl
Algorithm Hash digest
SHA256 6a58d2ea1072b87ab1c8e1266edc04181590fb2a3a2bd64b66410887a8f528a1
MD5 51eabca8a0ab86affb85365153f57248
BLAKE2b-256 2fd79bf74ad0efc69d3c91da8a1a098a5c45e45d031f70bb25798e147fdde281

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4e29f614f532e295908180af20deb646a4e58f5754df9e1f3087a7f69f523fb9
MD5 ec0bf9f1e14e0db2ddfa1b6c8ed24700
BLAKE2b-256 553b120496593efd216306143ad93cf37f2b3c13e9182b585b871dbbe1c38cdc

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_i686.manylinux2014_i686.whl
Algorithm Hash digest
SHA256 d5a9e7148a30d238db4b0adfa568294a877a7a266ce48922fc613ea5cbd189ac
MD5 0461633ffa29d9eb865150de97d5d284
BLAKE2b-256 1a7be705d72cf6ed135ca0c227ce754cd8bfd268a268c1d4725a87afea50254f

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 f5954e70ba1d18a4f6912b7bbc585b3b902184dbcda863ea822b3856faf159e7
MD5 7ab581fa223ec9322a84877e4cefb85c
BLAKE2b-256 11f8ffe54eccf3a7480f200032230f7f084c2515fc86870d9a432cd19d5ad43f

See more details on using hashes here.

File details

Details for the file ethos_u_vela-4.3.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

File hashes

Hashes for ethos_u_vela-4.3.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 a86722123457c43dac9d971904b6de52e0eff1654b654a051c4ea41d6173107a
MD5 a76cd67475ee75a9259345741740e899
BLAKE2b-256 fff4f72d50bf3fb6a186c72f122ed224a960e582e28c596813f429425a119a31

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