MNN · PyPI

C methods for MNN Package

These details have not been verified by PyPI

Project links

Project description

This is a python package for MNN package

Installation

pip install -U MNN

Dependencies

pydot/graphviz if need to visualize mnn file

Project details

These details have not been verified by PyPI

Project links

Release history Release notifications | RSS feed

2.9.6

Oct 14, 2024

2.9.5

Sep 27, 2024

2.9.3

Jul 31, 2024

2.8.3

Mar 13, 2024

2.8.2

Feb 29, 2024

2.8.1

Dec 29, 2023

2.8.0

Dec 4, 2023

2.7.2

Oct 20, 2023

2.7.1

Sep 22, 2023

2.5.1

May 19, 2023

2.5.0

Apr 27, 2023

2.4.3

Apr 18, 2023

2.4.2

Apr 11, 2023

2.4.1

Mar 20, 2023

2.4.0

Feb 28, 2023

2.3.1

Feb 15, 2023

2.3.0

Jan 9, 2023

2.0.0

Jun 29, 2022

1.1.7

Apr 14, 2022

1.1.6

Sep 16, 2021

1.1.4

Mar 25, 2021

1.1.3.1

Mar 31, 2021

1.1.3

Feb 8, 2021

1.1.2

Dec 22, 2020

1.1.0

Nov 5, 2020

1.0.6

Oct 19, 2020

1.0.5

Oct 10, 2020

1.0.4

Sep 15, 2020

1.0.3

Sep 14, 2020

1.0.1

May 25, 2020

1.0.0

May 7, 2020

0.0.7

Jan 13, 2020

0.0.6

Oct 29, 2019

This version

0.0.5

Sep 25, 2019

0.0.4

Sep 24, 2019

0.0.3

Sep 23, 2019

0.0.2

Sep 21, 2019

0.0.1

Sep 19, 2019

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

MNN-0.0.5-cp37-cp37m-win32.whl (2.0 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.7m Windows x86

MNN-0.0.5-cp37-cp37m-manylinux2010_x86_64.whl (18.7 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.7m manylinux: glibc 2.12+ x86-64

MNN-0.0.5-cp37-cp37m-manylinux1_x86_64.whl (6.8 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.7m

MNN-0.0.5-cp37-cp37m-macosx_10_14_x86_64.whl (4.0 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.7m macOS 10.14+ x86-64

MNN-0.0.5-cp36-cp36m-win32.whl (2.0 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.6m Windows x86

MNN-0.0.5-cp36-cp36m-manylinux2010_x86_64.whl (18.7 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.6m manylinux: glibc 2.12+ x86-64

MNN-0.0.5-cp36-cp36m-manylinux1_x86_64.whl (6.8 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.6m

MNN-0.0.5-cp36-cp36m-macosx_10_14_x86_64.whl (4.0 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.6m macOS 10.14+ x86-64

MNN-0.0.5-cp35-cp35m-win32.whl (1.8 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.5m Windows x86

MNN-0.0.5-cp35-cp35m-manylinux2010_x86_64.whl (18.7 MB view hashes)

Uploaded Sep 26, 2019 CPython 3.5m manylinux: glibc 2.12+ x86-64

MNN-0.0.5-cp35-cp35m-manylinux1_x86_64.whl (6.8 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.5m

MNN-0.0.5-cp35-cp35m-macosx_10_14_x86_64.whl (4.0 MB view hashes)

Uploaded Sep 25, 2019 CPython 3.5m macOS 10.14+ x86-64

MNN-0.0.5-cp27-cp27mu-manylinux2010_x86_64.whl (18.7 MB view hashes)

Uploaded Sep 26, 2019 CPython 2.7mu manylinux: glibc 2.12+ x86-64

MNN-0.0.5-cp27-cp27mu-manylinux1_x86_64.whl (6.8 MB view hashes)

Uploaded Sep 25, 2019 CPython 2.7mu

MNN-0.0.5-cp27-cp27m-manylinux2010_x86_64.whl (18.7 MB view hashes)

Uploaded Sep 26, 2019 CPython 2.7m manylinux: glibc 2.12+ x86-64

MNN-0.0.5-cp27-cp27m-macosx_10_14_x86_64.whl (4.0 MB view hashes)

Uploaded Sep 25, 2019 CPython 2.7m macOS 10.14+ x86-64

Hashes for MNN-0.0.5-cp37-cp37m-win32.whl

Hashes for MNN-0.0.5-cp37-cp37m-win32.whl
Algorithm	Hash digest
SHA256	`a44eea143cfb1c3fec9d9e9442c84259facd14e11d64e95f209513febae3b3f0`
MD5	`7478408de70995b3fb6c6d3b6a17d905`
BLAKE2b-256	`8bf94e290bed8712fab22ac818558933c0e372e2e916c2dff42541f0a75ac648`

Hashes for MNN-0.0.5-cp37-cp37m-manylinux2010_x86_64.whl

Hashes for MNN-0.0.5-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`d769c8e5c9bc3fd887810b813a89afed4044780bb2316bf5dbdb114b9e847999`
MD5	`2c70410d38c2fe2bc8ea9e6769afc0f7`
BLAKE2b-256	`ad6f2c048fc9dd8cdea22523e300d1d670f43606c87dd09ef4d5cbe2b7cc0124`

Hashes for MNN-0.0.5-cp37-cp37m-manylinux1_x86_64.whl

Hashes for MNN-0.0.5-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f9d01f821a13ee6e94458fb1d8aad0cd22974db51c7cd6b31972712e4f8d8da6`
MD5	`4a31e4395a80a7018d8762d9a2074e6e`
BLAKE2b-256	`668b29ea19f4002e3dfe6a297996cd6c6cef541c73d8e5f2eaa61dafc3a5105a`

Hashes for MNN-0.0.5-cp37-cp37m-macosx_10_14_x86_64.whl

Hashes for MNN-0.0.5-cp37-cp37m-macosx_10_14_x86_64.whl
Algorithm	Hash digest
SHA256	`c1fc71d49d8ae91c5de4ab00b57b9280602e3fe58927cd0892cf18150335018b`
MD5	`76f8ac908d7bd2f7bff076c65a61c862`
BLAKE2b-256	`23b88e6ebe774604cc210666313483c6e944b96c2b70e5ca6419fd991162f85e`

Hashes for MNN-0.0.5-cp36-cp36m-win32.whl

Hashes for MNN-0.0.5-cp36-cp36m-win32.whl
Algorithm	Hash digest
SHA256	`fcdeaeccc2ed630c0d4ba7342b89c48c5debdd287f89e9f3b0381cdfee711f0b`
MD5	`1fbef220232f7459d158c3879917a8b4`
BLAKE2b-256	`a660c7cd7e06afe796a4d1beb35a27d6e38747e86a74b5c42c1b95cb7efaf3a3`

Hashes for MNN-0.0.5-cp36-cp36m-manylinux2010_x86_64.whl

Hashes for MNN-0.0.5-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`75540e22139a28338743a9a55c54e7172e9684ab48905c1742a50f488a7e4cfc`
MD5	`107f14e19d904d750dffd81f287bf05d`
BLAKE2b-256	`0aa9b19e1f1fd72aed26a16eb55966016c93a3c49ba347eede2023717d46d74a`

Hashes for MNN-0.0.5-cp36-cp36m-manylinux1_x86_64.whl

Hashes for MNN-0.0.5-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`8ceb6ba83136d91bce45f54333477b4b553feb88c392fd69150dda2b12333adb`
MD5	`fb16b8f3ba9b4ef769e56ff027221b15`
BLAKE2b-256	`f8eac745e6505e8736df21fad8c371fd805995aff13d06a53ffe631846325cf8`

Hashes for MNN-0.0.5-cp36-cp36m-macosx_10_14_x86_64.whl

Hashes for MNN-0.0.5-cp36-cp36m-macosx_10_14_x86_64.whl
Algorithm	Hash digest
SHA256	`7a2623e55f8939d532a299a6e0a78745cb95c6cac5865fc0f18cbb9bb09e9d45`
MD5	`3fb3b59f03fd4ec5668a355a8849ed79`
BLAKE2b-256	`2645ea53aca6a7512461f72cdceee6dbea95ba15f9579511475f0b53194bf420`

Hashes for MNN-0.0.5-cp35-cp35m-win32.whl

Hashes for MNN-0.0.5-cp35-cp35m-win32.whl
Algorithm	Hash digest
SHA256	`3df0f94f332048b26d6c9a95c67f94f064bc312099bb671fcf752ebecb733ac1`
MD5	`9eae3726beaae8ee26139e919a4259d9`
BLAKE2b-256	`e7b910de155ff4f5f279cb213f2c04bd2b1194aa56ac1f9e0fb1661c2767dc4d`

Hashes for MNN-0.0.5-cp35-cp35m-manylinux2010_x86_64.whl

Hashes for MNN-0.0.5-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`46d7f5247415369f09dcf13f9519d2080d8ddb86b4af02deabbe5018e3efe522`
MD5	`3d3407445438423ba71e70011a6466d5`
BLAKE2b-256	`c75c55e321d4b46dbb52088e328fed4444ac93c3376feaa6f1282265dfd0984e`

Hashes for MNN-0.0.5-cp35-cp35m-manylinux1_x86_64.whl

Hashes for MNN-0.0.5-cp35-cp35m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`f7f835f2ad151af4505d3b53ba281e0b80e5e78b27d827a98045dd529e9c14a2`
MD5	`2bb13c4f161ec1735e9ee03e61a635d9`
BLAKE2b-256	`18dca9b532afb521a8ce504f825d62dc96e1eb26d3becc7961fab4a8ed2148a8`

Hashes for MNN-0.0.5-cp35-cp35m-macosx_10_14_x86_64.whl

Hashes for MNN-0.0.5-cp35-cp35m-macosx_10_14_x86_64.whl
Algorithm	Hash digest
SHA256	`f680da866f64f7454e8233cbb29a6d5461d85b6d2abcef5f602b262e1491d4b3`
MD5	`69c203bc03cadafc0eefbf1f080ded3a`
BLAKE2b-256	`a3d4230cbcac3b375e3118b68554cbb2d23cddfa11e31bd77abb26b691ac8c32`

Hashes for MNN-0.0.5-cp27-cp27mu-manylinux2010_x86_64.whl

Hashes for MNN-0.0.5-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`95b5d047948acbcb880810b0ab9f661fbb2bbc575f3e53e7882a318ffe51ac97`
MD5	`41e0a2f044b99e023aa86512e9b8858d`
BLAKE2b-256	`277bcd397deaeae44bdce1c6665aed7347cac208777cb6592a7d1ba0c19139c2`

Hashes for MNN-0.0.5-cp27-cp27mu-manylinux1_x86_64.whl

Hashes for MNN-0.0.5-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`33a3ce447677b4696a3e7307f20119ebd812ad93a1f9854d04b3b2134cf32376`
MD5	`9165adbd8601c1f29c59e4a68378471d`
BLAKE2b-256	`f6bf04aff20b3bb13498c411c4408102934ea303033934732c01262a458ab32f`

Hashes for MNN-0.0.5-cp27-cp27m-manylinux2010_x86_64.whl

Hashes for MNN-0.0.5-cp27-cp27m-manylinux2010_x86_64.whl
Algorithm	Hash digest
SHA256	`e87fb990b6e2a25faad74a04a4e5e01677ecffe2e9addb34eff42354b36ba9ed`
MD5	`b6aa8a7afc79bae432e4f266b317226b`
BLAKE2b-256	`abb37fa06cddc1c09ec7c6eb2b8d3a29cec01721f88b92989b95134d1fcfca6c`

Hashes for MNN-0.0.5-cp27-cp27m-macosx_10_14_x86_64.whl

Hashes for MNN-0.0.5-cp27-cp27m-macosx_10_14_x86_64.whl
Algorithm	Hash digest
SHA256	`c23fed1f326954405affdb7d9eb6871247d01eadb4e4384a65188af312601a88`
MD5	`075b6e4f0c313df27ec9a64ef3b91266`
BLAKE2b-256	`76b7daafd114c9a2c6998f6e4b1c03dd3cf691af8a2e0e1ce3186c76d6093683`