C methods for MNN Package

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jxt1234 from gravatar.com jxt1234 Avatar for zhaodewang from gravatar.com zhaodewang

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3)
  • Author: alibaba MNN Team
  • Tags MNN , Engine
  • Requires: Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, >=2.7
Classifiers
Report project as malware

Project description

This is a python package for MNN

Installation

pip install -U MNN

Dependencies

numpy

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for jxt1234 from gravatar.com jxt1234 Avatar for zhaodewang from gravatar.com zhaodewang

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License (BSD-3)
  • Author: alibaba MNN Team
  • Tags MNN , Engine
  • Requires: Python !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, >=2.7
Classifiers

Release history Release notifications | RSS feed

This version

3.6.0

3.5.0

3.4.1

3.4.0

3.2.0

3.1.0

3.0.0

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.

mnn-3.6.0-cp313-cp313-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.13Windows x86-64

mnn-3.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.13manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp313-cp313-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ x86-64

mnn-3.6.0-cp313-cp313-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.13macOS 11.0+ ARM64

mnn-3.6.0-cp312-cp312-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.12Windows x86-64

mnn-3.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.12manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp312-cp312-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ x86-64

mnn-3.6.0-cp312-cp312-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.12macOS 11.0+ ARM64

mnn-3.6.0-cp311-cp311-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.11Windows x86-64

mnn-3.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.11manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp311-cp311-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ x86-64

mnn-3.6.0-cp311-cp311-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.11macOS 11.0+ ARM64

mnn-3.6.0-cp310-cp310-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.10Windows x86-64

mnn-3.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.10manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp310-cp310-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ x86-64

mnn-3.6.0-cp310-cp310-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.10macOS 11.0+ ARM64

mnn-3.6.0-cp39-cp39-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.9Windows x86-64

mnn-3.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.9manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp39-cp39-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ x86-64

mnn-3.6.0-cp39-cp39-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.9macOS 11.0+ ARM64

mnn-3.6.0-cp38-cp38-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.8Windows x86-64

mnn-3.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.8manylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp38-cp38-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.8macOS 11.0+ x86-64

mnn-3.6.0-cp38-cp38-macosx_11_0_arm64.whl (5.0 MB view details)

Uploaded CPython 3.8macOS 11.0+ ARM64

mnn-3.6.0-cp37-cp37m-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.7mWindows x86-64

mnn-3.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.7mmanylinux: glibc 2.17+ ARM64

mnn-3.6.0-cp37-cp37m-macosx_11_0_x86_64.whl (5.0 MB view details)

Uploaded CPython 3.7mmacOS 11.0+ x86-64

mnn-3.6.0-cp36-cp36m-win_amd64.whl (5.5 MB view details)

Uploaded CPython 3.6mWindows x86-64

mnn-3.6.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (17.4 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ x86-64

mnn-3.6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (17.2 MB view details)

Uploaded CPython 3.6mmanylinux: glibc 2.17+ ARM64

mnn-3.6.0-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-3.6.0-cp313-cp313-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp313-cp313-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.13, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp313-cp313-win_amd64.whl
Algorithm Hash digest
SHA256 79e18451b89e9beabd244792c3e0f8cfeb7cf97d6f6a179007bfb360a0869a2c
MD5 3141325187b999a7996a4aef3846c59a
BLAKE2b-256 67c33922a63255111e7be810f6bbdbc7e3ed8ad16131d8e9e0c16ab701fcb080

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp313-cp313-win_amd64.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-3.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 a97e2364c0f50f2c62df89a669fc644e4c0c5c3fde66fb080858e2535f36f7b3
MD5 76d3039d6b044f9f3fa3f9f4d8896436
BLAKE2b-256 0810997ce27bf4a0c6497b7271dd7b1ba59682268c3b4456ca5bbe16e928b967

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp313-cp313-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-3.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 02ca5e6ec96834ddb2af93baae74b87f46f4dd1d6054f18cb1175880f56c7f9d
MD5 2d8810333a38e59a97fd8ef7ce8d8796
BLAKE2b-256 2ed9ea7681a91718d96242b8112cb68c0d310229df22da02d8d24034411920d0

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp313-cp313-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-3.6.0-cp313-cp313-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp313-cp313-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5f03452a3b35685d87102abbc95b9bdbe6de539a3cf668587e54a86903aec1a4
MD5 d5db50e9fbac4ab2d460d13e65018b86
BLAKE2b-256 0c933eea7bd08746204e74b3705dd0f856a1d3b6050a590830f7b3ab9d956ca2

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp313-cp313-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-3.6.0-cp313-cp313-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp313-cp313-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5ce0d6885fb23ceb0a8d4eebf7eba938b719522477f39b1f2681d4cd9e2f7210
MD5 35ab8ab54d34d00da43e4c5ce2173d93
BLAKE2b-256 e09cac4df63b8b6fc0e55f5355fbe3be72b4d4c610e78275c9a5449267776b94

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp313-cp313-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-3.6.0-cp312-cp312-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp312-cp312-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.12, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 521b8a6bb6c2f99eb5eba34c1ed48e9c14ee024f09d0535d7a2840522db22326
MD5 bdb5c85b2a4780e0245c7d4e4e8920a4
BLAKE2b-256 6fb3366e88a4c4de07861d258fbf2447b75402e0eab87abb3ecb68b50240f6ec

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp312-cp312-win_amd64.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-3.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 5870da277c14b1e5f75df1a815915a3f912ba66091ab6b30f85e4a596011e4d1
MD5 fa8ec41e0fe57e58989e05b207b0f5c7
BLAKE2b-256 96d792b8d5d6216b621f7d74488423c97ff2d2a57a41da9f65b72183b611a8ba

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp312-cp312-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-3.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 faef9b504fd9a59d589daeb8aed8c414e62d4fd86a9bd26a62eb70a1e09548bd
MD5 8d91e2de3d139735164d7afc195e9755
BLAKE2b-256 4c65060b4e59ae45dd7686eee6a59feaf5b9651ae725ba8b977895f8b31561d2

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp312-cp312-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-3.6.0-cp312-cp312-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp312-cp312-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 428067b2692e7e350808a1192ad932021c75ed58ec50e3e25729cac29db46c76
MD5 146fdd624f4b25f7a4071be85a52b392
BLAKE2b-256 9e1b0209a1ae09e51266718a9e2eb189e8a3cde54ddad9c5b4b884c7994a28c0

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp312-cp312-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-3.6.0-cp312-cp312-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp312-cp312-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1ac166e084c696e6cdb46bcba5f718bb58cd5cbde7572d3901db4fb9330eaea9
MD5 0e039b9db93fdc7cd1e99407b24a6d57
BLAKE2b-256 36f25524723812c12aa349058e285b578c3d6d8cd606d663fe1b90ecdbebe195

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp312-cp312-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-3.6.0-cp311-cp311-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp311-cp311-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.11, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b36778f25da5e27646b5449fb0399d0518abc22977d4e339fa320a12e5a432fd
MD5 20b3c6ae02313e6f8c76686c8a46af26
BLAKE2b-256 1b8b09e4d5d16ac8dec75160ba46c334b0572ff6966bd953be22dda177dd1b53

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp311-cp311-win_amd64.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-3.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 292eea9cc80a0d8852ddd93a1b0962472f2571a933b0aba8411ab604f74a2133
MD5 a38466030c4b46f4176e09d82889db48
BLAKE2b-256 18d7cf726fdfce42e184dd97fa6143324b5de7c7fda806976e5d45fc8b015341

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp311-cp311-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-3.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 0d0a0c3051ce95a85c6ad8d50bc0d830349ab98ec249898bfaf38ca0dfc06e2e
MD5 2953d93222a47efb528017b8ca78ee71
BLAKE2b-256 d7a86ae8b962a77d4b59420c843c7d31618588d8192938fca30ea2379d676505

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp311-cp311-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-3.6.0-cp311-cp311-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp311-cp311-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 333e1bcef7db55f90f9956dc7b7b860bebf497e596621bfb63316dfbe51bca00
MD5 25701fd46650993a97c349f9c8b53bc4
BLAKE2b-256 ce4cfd4e36a9fd9e585e43432ba36b84bdfd2d8a40a8839646b0dc79f925f9e8

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp311-cp311-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-3.6.0-cp311-cp311-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp311-cp311-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 5d2d88564493d52065579275f9a43e31857fb1a2daa511055a17cbf88f8ce020
MD5 0b09dafba57469b80cff77cc628d0be6
BLAKE2b-256 7da731138d924f42a83cad6c64f406738c0388857b274ac044c5e22c41fff4fe

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp311-cp311-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-3.6.0-cp310-cp310-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp310-cp310-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.10, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 7cb779d8b670b1f7bcd03517abcccca305654b9e913eba59a4511b62095c36a5
MD5 2f249e79aa601a8c5f9f54c78733c216
BLAKE2b-256 652093f60fae104ff524346430e375bede56e31b96089ea6e4020b34cd04aa02

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp310-cp310-win_amd64.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-3.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 f7dd1dd924ec31933a64d319673d615e0e91a7154725393f26e018d6c8abb81c
MD5 7b5dda080ea4e4ecb999f7a79bf74e8f
BLAKE2b-256 96cfa2903b30e39055dc6d1478e350544efdfe6c5f2be0e7545aa35a8e1ec11b

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-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-3.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 b211402a8e1e37431fbd0db36f4c2a5ddc09b56ea8153deeb5f743a586b6204a
MD5 f4c06e6ee1240db0be722f1e9471fcf0
BLAKE2b-256 f766e07a4b9e39e4448c2c43ddcb8094dc6d82b30afd55cffda2d427ad4beb91

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-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-3.6.0-cp310-cp310-macosx_11_0_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp310-cp310-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 5a1c57eb196fbcf0d2a38b5b43c14fb40681544269f76d45ffe95976ade9c502
MD5 25357b9a9b208d101a84496d0ac56a6a
BLAKE2b-256 12a6352425e498691cb5b1823de3b3fe107fcb5f9452179fde45b22c78c72bef

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-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-3.6.0-cp310-cp310-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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/3.13.12

File hashes

Hashes for mnn-3.6.0-cp310-cp310-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 2faa599df52eb6a2981b1525845899f76dee214f0e9ace7043e41f861d84c50b
MD5 5c238a8b60c0556379078fff3b4fcfb5
BLAKE2b-256 92f036fa14ffad9b8590153867e01b57b49467d9e23c4f8f6471f55d90644a47

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-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-3.6.0-cp39-cp39-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp39-cp39-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.9, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 32f876c31711c4876f15daf3311a93665a2634e5a73e41dbdb1aedea3923058a
MD5 589e2c95c240a18881fbc465bea043a1
BLAKE2b-256 8f0a0f8b44fa364a735745b155309ea193b0ed0b195272eb82ee803f4939d064

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp39-cp39-win_amd64.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-3.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cabdd0d3ef9aee33d6554a6b4e511c25564c0b72508419bc66998729ff0bcc76
MD5 bab3109fe686ed40cfa24d067d5cd16f
BLAKE2b-256 b3c46808d93f2558986f83974b40fcd95bcb98615d27fbd5eca6e5d45a267c77

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp39-cp39-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-3.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 143745b0f9876d96d45ac8b3f3f94500917e194b781239440d76aebc1bf4e420
MD5 1684577974161856fe18643c57167e82
BLAKE2b-256 10b39aaa6c2ac45fe28af603db3a30b2c651a1f7a1ac37cb6aa12dc210df3833

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp39-cp39-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-3.6.0-cp39-cp39-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp39-cp39-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 1c6ecaf682b63f9c8af87e20928e4573a5de85889c461b809f4eabbd0885c809
MD5 08e51ddb3f22e5de80b50da3b908f97a
BLAKE2b-256 9879ac12246d7832113462a79e7b128d93f24b849b83b12cd5019fb713020811

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp39-cp39-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-3.6.0-cp39-cp39-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp39-cp39-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 1cbf7fecb2f668696ba80220c4c8b2a01c69d370b41086a8fece03540128b35e
MD5 3aedd9a29bd0fe60db52fcebb5915366
BLAKE2b-256 5a077682285873817103ca327cff410033c74c1ccfa1b4d3711b72c023f55a30

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp39-cp39-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-3.6.0-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 4d595cc82c78fdeb9fc5e4473573a984fed3d8b931111f0f79abf2d7acef37b0
MD5 225b2e22e4ea0eeb998a7bdffe515eba
BLAKE2b-256 47efd565f604799c18a2a1ce538b2da478ad1b94a483de3a23aa08cebc5b76c5

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp38-cp38-win_amd64.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-3.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 d25805e09be39075f09ffa030ebe55ae6dd50f37db93472f5b3931278e1d6f28
MD5 b3bc9a1a2f45d05c467ddec17ad9709a
BLAKE2b-256 9cc6f8af45f2177e19a8a9dc813082e7a80c94c40062448f920604405264ebe7

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp38-cp38-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-3.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 96c4f6c750b9aa39cc4719b3716ac0a641e440e64c07b25236846a67333b61b7
MD5 3c5cce32defadcad9f824b1cc4fd44e8
BLAKE2b-256 eedf242308d1e5692fbdd8ae01bef8f2eea0cea4825efb184ceb27603ae0a5ac

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp38-cp38-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-3.6.0-cp38-cp38-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp38-cp38-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 89a1c01bbc2c03e767753ef4f42e3293e09bf539cfb63003844dc263839421ab
MD5 7d5777b447c007a0384e19a73d0c06dc
BLAKE2b-256 5bd3d16d73c52453e00e3dfc3a815eae78c5dbf547f419847cbdef53d834e5c0

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp38-cp38-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-3.6.0-cp38-cp38-macosx_11_0_arm64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp38-cp38-macosx_11_0_arm64.whl
Algorithm Hash digest
SHA256 c2dabffc3484491adfc3d75f0a0d659aba6ee0c2518c6222825fafee27f90149
MD5 57baa64c3a527cfc2fce5cacf2e7ee95
BLAKE2b-256 7fd38cbe5f169e6400a13dda7a99576d45d7bb3e7240944075ecf7d652facf12

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp38-cp38-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-3.6.0-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 ebbf6f5ccc55275e1e306c03002571cc5ea63d3d9fdda8c568d905cf69092e4f
MD5 a9fb0b79e35858d97b1a040afaf20b0c
BLAKE2b-256 ad1f044d8f74c5c17bf97e0a32d2fdbd7e7bb86e533fc732b3c0a16b2573fb8d

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp37-cp37m-win_amd64.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-3.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 fab0625f0b5623198f580543dbe6a2095b706610c12a5d845bf93bf9a80ec074
MD5 4b40dd68cc9222c92d3982c9ec7b03b4
BLAKE2b-256 129d6ca52482ada3196802c776d8ba8a4d17058b946676565ccf70efbc4920f7

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp37-cp37m-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-3.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 ee8686878f6565dc9294118465d1371f8ba553fa2412ea598fd99b448f7a9c4f
MD5 820087a440979ef6b876c9bc63701763
BLAKE2b-256 c9963dfb5b6cb3840b2b15653363b04901c3c48dadb2723824a060e7ffff5beb

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp37-cp37m-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-3.6.0-cp37-cp37m-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp37-cp37m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 041cf14f10e5134297733708e4ce882af6d123aa26776563cd20ebd657213e33
MD5 ee69d540f5554dc3140b337193f8b15a
BLAKE2b-256 2edfbe4e706f561aa2c43f5689ba9418dd986523a1f4bc3ae791115a61bd48d7

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp37-cp37m-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-3.6.0-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: mnn-3.6.0-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 5.5 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 4fd72b9792745ff8a88a070ceba09f84739ce3bdd16ba333e5f666fa8b7d7713
MD5 216e1cad3c217d76fb008f66f702a842
BLAKE2b-256 4ae8fb7add6f8a185dc94f5a65062eba1435bad45c469062e88a9342d1b7126c

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp36-cp36m-win_amd64.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-3.6.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 2308fae52acd16fb6acd314766ac7242f28e8fb762837f5cc72421e0f4a27bd8
MD5 7bee69ec32ee91558404ba8aae3888e8
BLAKE2b-256 85b4ac82888395d1bcdeb8b2457d760f28dea4b1270bf5870f3199c54b003d30

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp36-cp36m-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-3.6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.

File metadata

File hashes

Hashes for mnn-3.6.0-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
Algorithm Hash digest
SHA256 718ec04fb42e0a696c62bae2f96a53bd449c4e2d7f05f3c53922e56c58cbe33b
MD5 6903daf8d6b3d25a5bf4259a9a3f8f38
BLAKE2b-256 dc15d6b04453b1e4b87c4aff93f27e86d3a9bdb76db2a6e2763c84d8032dae14

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp36-cp36m-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-3.6.0-cp36-cp36m-macosx_11_0_x86_64.whl.

File metadata

  • Download URL: mnn-3.6.0-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? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.12

File hashes

Hashes for mnn-3.6.0-cp36-cp36m-macosx_11_0_x86_64.whl
Algorithm Hash digest
SHA256 c4a890e8c24acc60ac0c7d525fa962a67dc119a1b579958db4b235e44e9f105b
MD5 a1e53bf2aa0033a94f00b5b3309fb0f8
BLAKE2b-256 c5aba669bb9773587716132eeed125076574ffd8d939058dc317c4042896b31d

See more details on using hashes here.

Provenance

The following attestation bundles were made for mnn-3.6.0-cp36-cp36m-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.

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