Skip to main content

C methods for MNN Package

Project description

This is a python package for MNN

Installation

pip install -U MNN

Dependencies

numpy

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

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

mnn-3.5.0-cp313-cp313-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.13Windows x86-64

mnn-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.0 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp313-cp313-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ x86-64

mnn-3.5.0-cp313-cp313-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

mnn-3.5.0-cp312-cp312-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.12Windows x86-64

mnn-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.0 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp312-cp312-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ x86-64

mnn-3.5.0-cp312-cp312-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

mnn-3.5.0-cp311-cp311-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.11Windows x86-64

mnn-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.3 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.1 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp311-cp311-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ x86-64

mnn-3.5.0-cp311-cp311-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

mnn-3.5.0-cp310-cp310-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.10Windows x86-64

mnn-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.1 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp310-cp310-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

mnn-3.5.0-cp310-cp310-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

mnn-3.5.0-cp39-cp39-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.9Windows x86-64

mnn-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.1 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp39-cp39-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

mnn-3.5.0-cp39-cp39-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

mnn-3.5.0-cp38-cp38-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.8Windows x86-64

mnn-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.1 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp38-cp38-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8macOS 11.0+ x86-64

mnn-3.5.0-cp38-cp38-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

mnn-3.5.0-cp37-cp37m-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.7mWindows x86-64

mnn-3.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.0 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp37-cp37m-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.7mmacOS 11.0+ x86-64

mnn-3.5.0-cp36-cp36m-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.6mWindows x86-64

mnn-3.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.2 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

mnn-3.5.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.1 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ ARM64

mnn-3.5.0-cp36-cp36m-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.6mmacOS 11.0+ x86-64

File details

Details for the file mnn-3.5.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 2b2bea42881f7f03a40a61aebeb02179ded3111a32fc569fe0e313e4bb842008
MD5 fa3fd1087a2880d0f425f12cc979e7f4
BLAKE2b-256 71157b60d795757ca3a429413ccf8d96743d64623ffdd3c47594b1e1fcb5bc2c

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 e50ceb638cf1088405fd99b9fdbed457c63dbb999a93e62ae37a73279e16c86a
MD5 8491f869db19d36b0550d47a4bcf9c83
BLAKE2b-256 de5d0bd8786e71077cd7e5c3f8bea12dc0d77802e5b22a92ff5a9ac87ee8c573

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 e2b22f1ae880d5402884d84bd682eb1acf25a8f747f6c0b45b1eba5cad641fc7
MD5 77899324696a2d100e6c663eee1b82b9
BLAKE2b-256 d9a678f2828cab08508e461ae90fe0ce590194b2311cb112720f9ab2a13166dc

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp313-cp313-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp313-cp313-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 d37637fe965667195f1eed2c6c97cc44194b39c336d1a07f9eb653faa9de2479
MD5 9098c8026d8205b9244a0af06f8bda47
BLAKE2b-256 89befae91835e2f87b158379c6a1bde4c60244c8b7aac8e949318e59eb20835c

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp313-cp313-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.13, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 41b7dd2eb5018690f1a6b525bca904100190a6728fefa2a49f1b187204d9cf4b
MD5 cd9f4d0ca63d2a0e4cf03807c37275b4
BLAKE2b-256 ea25ef130f47659581007ab4baba99cb15a126fe8a8f75841725b502e9eb0bf0

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 9e5fcb4f52d7c2d80ff61661d85dfb116d278c515aa28ea6c8610aef61bf5362
MD5 be893c117c5271954706097f6a3d407e
BLAKE2b-256 7cd216cb6e3b2ec62ea0b85372a21631cc2ac797cbea50b48d0ced736cfa07ed

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 438f27a7edf42cd342a9a2ec3453e3a32365bceaeb7c4674ed6c3a4453cafc21
MD5 fc4ab622e7be0165532647beed7b85be
BLAKE2b-256 9d21414da0c9aa95b5979c7ff77e67a727f49210f61a54938468726b31c18801

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 2d69264e0834e87e8413fd1caa873f196e4076de45417d2f1aa685e509e33547
MD5 3c862aca9ec0fe5888529ad7ccac4517
BLAKE2b-256 d2b8e996f31d5deedbc7e1909a3a5000095634f111c20bf5324c096bd853ae06

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp312-cp312-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp312-cp312-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5b9ed64143858ad8a7233a24c790c1891c9d3189ff9c3e3effc3bb7f79397508
MD5 cd94772882044837562e9116f114d668
BLAKE2b-256 4e7de9fd3588f432c019a98f7ec287d01dade2b3a80cde7965eb7b62e527aadb

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp312-cp312-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.12, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1f72fe18a6a1bc3150c8ee2f514e1257e6e091ae957d309acb04c8c2591b6667
MD5 84a7a69ae14cbca0130335029b7619f8
BLAKE2b-256 f11e6e887493c7aa7403b3859a847559fe5b7dc1eca17df7525e0062374c001f

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 930d5fd1c71f585aae877ea8320ba139b6331dcb66c5024deb2428249a3c797c
MD5 9a366d53bd7f9a8ba1af0cf4296ba649
BLAKE2b-256 94af44ac2587f2b1c9c540bf83bf48319e815e6618e16555c591877098498d46

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 ab8ccf74359dec7e9c56e90d0f11a8b589ccebc4ead03bf7e6565558666831a8
MD5 79a3f0e1231ca4a5a92b165829b1e9e0
BLAKE2b-256 3a220ef73bb01d3892aee78576a18d9e8882b6119a473359922ea62617633913

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 4a31c00d5222a83da65ab355b65e3d8f3689e4cb736423f52f7981b12b7ed268
MD5 a92e941170a619c7f8b10bcc08f7a7b5
BLAKE2b-256 22b828f2ddb33cceb1d3d29339955e8a1822870e0594f84e2c1688ba99bee9fd

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 ae1bdb63caf531e12bc3746c70521da0567f330d29180d4e708989b977e27bc9
MD5 d7d65fcae1eb6f9a5ac501d72b964b52
BLAKE2b-256 55780c9ec2dd5438dbd87d3cd34d2db5c15280bb49bcc4df399e1af7325ea3ea

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp311-cp311-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.11, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 61d87548d996c8dd1739eda0f709187624ff85f565e42b75abb55d00771107ae
MD5 48f6934b6b4c547e7cd19f3f70913b5b
BLAKE2b-256 f3871459303924cc41dd20e088172bce45d833c6b007481a6f7025bcf83c97bd

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 9052bfbcd8c345b2c7984298eff5fee0db2c08f34bba0aae878da3504ae8760f
MD5 f52f4405ca5d862f81604841f8887dac
BLAKE2b-256 4753ad451c3e56d5de2b214279b50c9602641737ddb78e315e86054b71d320d2

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 86de5e09d0bc284e6a87d165ec2f4298821d34996f3ad5fc0858cbb42db9f582
MD5 0bfa0eb99f9b06a5ff65dfd180950182
BLAKE2b-256 ef843599cdbcb7d2e79ac52cd5338b6f739b2d46b636843488c7a1b9c4467c5a

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl:

Publisher: pymnn_release.yml on alibaba/MNN

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mnn-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0c76542adb7c3b6b723db134060030a8d6fe61d7dc4e29972fd9089f16ffa2e1
MD5 78e92b904d9da0eb202ac2041cbf1505
BLAKE2b-256 f3cb7fd98121525f32098391bdc303e440abd999f9ba649b4a53f5d6d578493f

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.5.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl:

Publisher: pymnn_release.yml on alibaba/MNN

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mnn-3.5.0-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 ba5b39865ea0afb44da8b7038c7f0bc020f3a569bcdb451dc7f25e6606364b8a
MD5 6e018ea70be317dfa9deacc0317a3752
BLAKE2b-256 6550819503a3d64252c79b0a2ba4b5c68a1835c591204430ea66184825aa074a

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.5.0-cp310-cp310-macosx_11_0_x86_64.whl:

Publisher: pymnn_release.yml on alibaba/MNN

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mnn-3.5.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp310-cp310-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.10, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for mnn-3.5.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5bd9d68780559deb58202f996485eb79fae87c5b48312a2b1196188dc6840e0e
MD5 f00202c55af07091ba518361dea04668
BLAKE2b-256 d58e3f04310d3fb6e55a60bc2176cb79cf6a656d1e4e8c0bf224d0f73bfe1cd1

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.5.0-cp310-cp310-macosx_11_0_arm64.whl:

Publisher: pymnn_release.yml on alibaba/MNN

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file mnn-3.5.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 cd5dcd394a802bbf74b794a4e7eab9a93f074159c4d7cf2698e629ae77aacbd1
MD5 046ec75e3d711f816d30e17d140a35d9
BLAKE2b-256 7a2bcfca376d0e87839776ac4d0b19c4d01489ee2904ddfb6c1c21fd42b82ec1

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 4f6b56e72d6c420222bd0f90be5446793f81d7036cf2447b16ce303665770766
MD5 36de14518b330f5fb3916215585a50ba
BLAKE2b-256 d4105c5d4d00c836fabe8dc82efcefa815757a06dc926253ab2ad84b381e4e27

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 7bddf74be7e0b941b25838b1133f2180bfbc315cc5ad7826f82150bde2d564d2
MD5 728da480cd1b25e735692c5c1058ee68
BLAKE2b-256 cddfdd88b4b02ae51164ea4d895d4c50ee56588bc0e343f7db3330d14b299e81

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp39-cp39-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.9, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 924f65dabbd7a22266b7bb935b57c0936d650d41d0e166c5c85e8a6298467588
MD5 a843b3a04b486efa0f5aef63c9d755ec
BLAKE2b-256 c018b0ae6db47cb6e30e043c570abdb2ff5ce8b85a25448a91fc4287f0130080

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp39-cp39-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.9, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 ebc538e2ba83e670dd46b489942295fe1380a325d75ff4b79c6326b7430cccca
MD5 2da42c40de6f2204008dd2c8b2e69d78
BLAKE2b-256 347c56698efd0fa5b8d90841531c18cb427c57d9a30ad0f17a935fa0fae8281f

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 92d484f722c7c6d020d2eadd72db2c35636158e43de9963502b1da4a0b1d1313
MD5 be361192222cd1e15b47184bf3ed5190
BLAKE2b-256 291a2e454aecd3027ad2174f3334bab030431e3b94a71c66494de3c9f8561a72

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 0d6e3694bfff557031917eab0e6ee37e35c113a2993eda88930eed5b0a045541
MD5 9f9ea50c52e9f18415530701e07613e6
BLAKE2b-256 8a596c46720ba587bdd8f395039f63b4502847499ea4b599cf3ef0d7bffd987b

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d576c9c00a3f6a62da15f9f85307aacbd473568a18a2c2c512baf41c020a40b0
MD5 e1f7b4d248d82f723606219d58b0112b
BLAKE2b-256 8aa1ced6589bedb350ddd6adc809c76b4df84fe07ed8a3d3226796b9f66b71b2

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp38-cp38-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.8, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 24460961a3647c30dcade62c6e56d8e035fc9024134b3d7444d047ebe5c568ed
MD5 b36575fc2e0a996a0d35ac037e9258f9
BLAKE2b-256 efef785e73d232876e7b618e32d5d58c3428ff97e191d27b114db55e8105d691

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp38-cp38-macosx_11_0_arm64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.8, macOS 11.0+ ARM64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 eb6d9f08659d01babd46f721fb2c18c0770fdc5153ee221a44d9c22660f6c75d
MD5 2d1012539cc23149cfb2efdd941979c8
BLAKE2b-256 795cdd05d714e883d4588641dfb64af71f9585ae94c9ce17a49d10e52d8ae4df

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8aa0269f0e9c80717b89aec3e9441228767345665e09c522b8e0391a08961229
MD5 c3681e0f90f6fbb8cddd7f18ea27e9df
BLAKE2b-256 efab8a63812b65cc8058cbedf64775ff33040ef632f71b5c752d8978328d574e

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 24f61c739e145f6bfdaea0462197e02b013d8afe497f01787c889c1f0431b4bb
MD5 e7e538017e290769e569da539faac53a
BLAKE2b-256 16bf30d384039eec41c871b32e677a89614de97bfcba1e931de95d3889960fda

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 d933a911991c2764cebb769a7c9651e3f70f3d533c8405f4faebf796c9362ac3
MD5 fb7db542595fa8b984bc353d1c714c3c
BLAKE2b-256 651f9437fae09f02d818229ff60a1d135b586a5291fbf15eb0900468d2b6f6a7

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp37-cp37m-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.7m, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 841a7a4163d6d6d35acaa2713008b614971e7016700a38c51c9e86f66da50955
MD5 7bf23d8954d9dcc9ecb2d944f47cc02c
BLAKE2b-256 70064bb60fa3f74c965779887f186021751bd8acb1518977448ba2398be7d5f5

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 933c86be0c2f41cd913711540c4e8a2905a861d9a42cf996789538a1261898c4
MD5 12e88432f1d0b8c8a0de2beac113f73a
BLAKE2b-256 812c7e96faca5eed9e289c232f0784c9dbd4bb8341f3b4e363f1b583319fd646

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a48d2b84bb42634972804ec462d25a00688775963287bca1a47a9087933d0525
MD5 a544665df6562a5371d4d770976aba49
BLAKE2b-256 f8e6f9c656ce8f6a563b4323a1be80ef915d3340688d88661b18bf322249dd21

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.5.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 cb04630b6f2d1a66fac2f23c689807bdcb5f9d669b231ea466bc2f5a0f378436
MD5 984c996f49e60a1e85d0ead9b15cf5d6
BLAKE2b-256 c42a688a71a74e511d72b7d98892d946de8737efe6e59d4200c93505e7933e0b

See more details on using hashes here.

File details

Details for the file mnn-3.5.0-cp36-cp36m-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.5.0-cp36-cp36m-macosx_11_0_x86_64.whl
  • Upload date:
  • Size: 5.0 MB
  • Tags: CPython 3.6m, macOS 11.0+ x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.0.1 CPython/3.12.11

File hashes

Hashes for mnn-3.5.0-cp36-cp36m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 39dfa1e0e0b9066fd0bd083ab023a960ef9b5ebe97ac11d45acd468bbae6fb76
MD5 d2c891cd472f46cb6cd6330e5a9c0b4b
BLAKE2b-256 60a603d399ef20acb084bf2377e7027dca39706070b2204912108e3a60d3d458

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