torchaudio

An audio package for PyTorch

Project description

The author of this package has not provided a project description

Project details

Release history Release notifications | RSS feed

This version

0.8.1

Mar 25, 2021

0.8.0

Mar 4, 2021

0.7.2

Dec 10, 2020

0.7.0

Oct 27, 2020

0.6.0

Jul 28, 2020

0.5.1

Jun 18, 2020

0.5.0

Apr 21, 2020

0.4.0

Jan 16, 2020

0.3.2

Jan 9, 2020

0.3.1

Oct 17, 2019

0.3.0

Aug 8, 2019

Download files

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

Files for torchaudio, version 0.8.1
Filename, size	File type	Python version	Upload date	Hashes
Filename, size torchaudio-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl (1.5 MB)	File type Wheel	Python version cp36	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp36-cp36m-manylinux1_x86_64.whl (1.9 MB)	File type Wheel	Python version cp36	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp36-none-win_amd64.whl (109.3 kB)	File type Wheel	Python version cp36	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl (1.5 MB)	File type Wheel	Python version cp37	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp37-cp37m-manylinux1_x86_64.whl (1.9 MB)	File type Wheel	Python version cp37	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp37-none-win_amd64.whl (109.3 kB)	File type Wheel	Python version cp37	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl (1.5 MB)	File type Wheel	Python version cp38	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp38-cp38-manylinux1_x86_64.whl (1.9 MB)	File type Wheel	Python version cp38	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp38-none-win_amd64.whl (109.3 kB)	File type Wheel	Python version cp38	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl (1.5 MB)	File type Wheel	Python version cp39	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp39-cp39-manylinux1_x86_64.whl (1.9 MB)	File type Wheel	Python version cp39	Upload date Mar 25, 2021	Hashes View
Filename, size torchaudio-0.8.1-cp39-none-win_amd64.whl (109.3 kB)	File type Wheel	Python version cp39	Upload date Mar 25, 2021	Hashes View

Hashes for torchaudio-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl

Hashes for torchaudio-0.8.1-cp36-cp36m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`c4155628a22a145f8324e0f66ddc376c9828271c2b9dc7ddfeffa1aa4d5c637a`
MD5	`b53be283003df7586460d86ea75554b6`
BLAKE2-256	`fb5ece8cc92748b189732d1c6920c239d70bd6e9284cdc08c4df076581c43cb9`

Hashes for torchaudio-0.8.1-cp36-cp36m-manylinux1_x86_64.whl

Hashes for torchaudio-0.8.1-cp36-cp36m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9d9962a435dcb91251e22c68c68e87b76aea3e28990cff48e0509dd6cb9e2729`
MD5	`e96a7a7661ab344cd2e7c7290ac03cb1`
BLAKE2-256	`94791c0daab43f6da5191e42430b2931f23b6ed3807e7ed52742979a2d6a11ee`

Hashes for torchaudio-0.8.1-cp36-none-win_amd64.whl

Hashes for torchaudio-0.8.1-cp36-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`d14bb3bf87e1eeb91648d4f0f1aaecc1d5080c4666a4b7890967d75666a3ef33`
MD5	`9c731cdb7ebf6781e92921f1a0dba294`
BLAKE2-256	`08ead9a833ea5c766d7d95da6eeb3823f170724a9fa38350d9ea9d43cb153c1c`

Hashes for torchaudio-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl

Hashes for torchaudio-0.8.1-cp37-cp37m-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`9104cdfb5cc46699d2b54803d7b55717b5e55682959b41b205d9c3bf89b765f0`
MD5	`fe8967abd8ff5a269748f7921733152f`
BLAKE2-256	`54af8340d012193d58f319dfddaf7df838b09dfedb206a0c38f587ad08b01e3a`

Hashes for torchaudio-0.8.1-cp37-cp37m-manylinux1_x86_64.whl

Hashes for torchaudio-0.8.1-cp37-cp37m-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`9ffcacf80b86e6da523300716bccb8ce0580c865597fbe26d4072d4590d98e7b`
MD5	`38b5af788fc0e1cf4352c4a5d178e847`
BLAKE2-256	`aa5501ad9244bcd595e39cea5ce30726a7fe02fd963d07daeb136bfe7e23f0a5`

Hashes for torchaudio-0.8.1-cp37-none-win_amd64.whl

Hashes for torchaudio-0.8.1-cp37-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`24de08b94c54475864ce81bbae6420fcc6d321a57b63ccdfbf0105ed898b907c`
MD5	`88af5abdc279408439e3acfb531f5097`
BLAKE2-256	`3a59f6ffd8f8c4d94326ff4584bf83783a65fcdc8e44c8109cd57d1ed6d38421`

Hashes for torchaudio-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl

Hashes for torchaudio-0.8.1-cp38-cp38-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3e3d019da7af9b9abf41387eaead27948362febcc69e31537851fd5b20da899e`
MD5	`86d91799d3147bb5e66e87f6c2401ccc`
BLAKE2-256	`36a967731c29b4f4cec3a815716c3be49e96ec9af10b7858acf816a1dc53b78d`

Hashes for torchaudio-0.8.1-cp38-cp38-manylinux1_x86_64.whl

Hashes for torchaudio-0.8.1-cp38-cp38-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`02d87b9cf8aaf687c0040b9789190c2102f801a25f74c2b092ffc5782478e4d5`
MD5	`1bebc332ab21d1fbf5a8a4ccfad0b327`
BLAKE2-256	`c21e2f0c70f256733ab48611b68043713abcc569ec3a68aba6dfc8e1b0c36d86`

Hashes for torchaudio-0.8.1-cp38-none-win_amd64.whl

Hashes for torchaudio-0.8.1-cp38-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`c1b480888925d3c342c182343742acc6cd90ac6f9c93fa4047c1166e64742f03`
MD5	`903827baa38bd21d6473cfc15036d02e`
BLAKE2-256	`85121c15ba591a9b112d2de99a534bc7e4cad2382df86274c56ddd3e61d97a11`

Hashes for torchaudio-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl

Hashes for torchaudio-0.8.1-cp39-cp39-macosx_10_9_x86_64.whl
Algorithm	Hash digest
SHA256	`3462f3e23cdc91ba1273ea67be130b8c9e44f88b271cf43378f01d78efdfaf27`
MD5	`e622aa024c3dd4a808b2a922177e52a6`
BLAKE2-256	`6903ab5f8b988dbdba3f33bfaeabba47ac351d05fa13740fc951ae6c722a8445`

Hashes for torchaudio-0.8.1-cp39-cp39-manylinux1_x86_64.whl

Hashes for torchaudio-0.8.1-cp39-cp39-manylinux1_x86_64.whl
Algorithm	Hash digest
SHA256	`a2e329e862f1e0028a2a925a0ed6e0760fbba1b1fe5481241ac5329041594bf1`
MD5	`059e12e8817550cf245b66ac842af1ec`
BLAKE2-256	`f8536f2cab7f30c2a5aafcba892897e14dd0efa3624544758b96fbac0750c86c`

Hashes for torchaudio-0.8.1-cp39-none-win_amd64.whl

Hashes for torchaudio-0.8.1-cp39-none-win_amd64.whl
Algorithm	Hash digest
SHA256	`1305db89ddb58a612728533dd444f2822edd11385679555d309c67374d1a7c3f`
MD5	`3954c0c16124e6ae7313d386b8dbbce4`
BLAKE2-256	`aba693a51bbb2a3c6e24920fbb7265b789229dcec1fa5c8d48c52af4b93f2ab1`