Parallel Distributed Deep Learning

Navigation

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for xieyunshen from gravatar.com xieyunshen

Unverified details

These details have not been verified by PyPI
Report project as malware

Project description

The author of this package has not provided a project description

Project details

Verified details

These details have been verified by PyPI
Owner
Maintainers
Avatar for xieyunshen from gravatar.com xieyunshen

Unverified details

These details have not been verified by PyPI

Release history Release notifications | RSS feed

2.6.2

2.6.1

2.6.0

2.5.2

2.5.1

2.5.0

2.5.0rc1 pre-release

2.5.0rc0 pre-release

2.4.2

2.4.1

2.4.0

2.4.0rc0 pre-release

2.3.2

2.3.1

2.3.0

2.3.0rc0 pre-release

2.2.2

2.2.1

2.2.0

2.2.0rc0 pre-release

2.1.3

2.1.2

2.1.1

2.1.0

2.0.2

2.0.1

2.0.0

2.0.0rc1 pre-release

2.0.0rc0 pre-release

2.0.0b0 pre-release

2.0.0a0 pre-release

1.8.5.post107

This version

1.8.5.post97

1.8.4.post107

1.8.4.post97

1.8.3.post107

1.8.3.post97

1.8.2.post107

1.8.2.post97

1.8.1.post107

1.8.1.post97

1.8.0.post107

1.8.0.post97

1.7.2.post107

1.7.2.post97

1.7.1.post107

1.7.1.post97

1.7.0.post107

1.7.0.post97

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.

paddlepaddle_gpu-1.8.5.post97-cp38-cp38-win_amd64.whl (339.0 MB view details)

Uploaded CPython 3.8Windows x86-64

paddlepaddle_gpu-1.8.5.post97-cp38-cp38-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 3.8

paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-win_amd64.whl (339.0 MB view details)

Uploaded CPython 3.7mWindows x86-64

paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 3.7m

paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-win_amd64.whl (339.0 MB view details)

Uploaded CPython 3.6mWindows x86-64

paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 3.6m

paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-win_amd64.whl (339.0 MB view details)

Uploaded CPython 3.5mWindows x86-64

paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 3.5m

paddlepaddle_gpu-1.8.5.post97-cp27-cp27mu-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 2.7mu

paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-win_amd64.whl (339.0 MB view details)

Uploaded CPython 2.7mWindows x86-64

paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-manylinux1_x86_64.whl (406.0 MB view details)

Uploaded CPython 2.7m

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp38-cp38-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.5.post97-cp38-cp38-win_amd64.whl
  • Upload date:
  • Size: 339.0 MB
  • Tags: CPython 3.8, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.8

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 62d22be8339c683513692b7a0197fd142c267bfc077c9ac46688df174aa2c00f
MD5 50121af2d89169cfb2a4d00378548347
BLAKE2b-256 35848a50f33bc167165caf7d3a0db33563f3f6de1ac8e3ba0f51e9e25778cd78

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp38-cp38-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp38-cp38-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 5c77e92b29c79ac315b46f0c55897c7a1f2679647860f01034f0dc19d0281a65
MD5 eb0893aed4d409c0b8256f3be10d8fb8
BLAKE2b-256 4b3ceec72be16110eb6cc5ff734095bbbc8ed557020fefb0bbd64709103dbdb4

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 339.0 MB
  • Tags: CPython 3.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.8

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 0a924e499dc75974b66efea8c54a45883b790fe979e0b173cb494a0bf07e0439
MD5 416df233919e38a491918a1da3d70f1f
BLAKE2b-256 752c3a8e3a7f8e446aa59da167192b2025f5349d398b6bdf3add5d643fb46f0a

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 80a8c24d241c02a924dfc5ed0705f179089edbdf2c620918fc6de1aeb58bdc0d
MD5 1ee940dae27ebe2b1e8e9616f28e69af
BLAKE2b-256 63627535c87ecdbd778ab93f62f21d8ec99881098ab2f0589c18a7808abea654

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 339.0 MB
  • Tags: CPython 3.6m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.8

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 c2e8e9173c1bb9208206709d5fa78fe6d87db352da41b27e569723f8c6b9c08c
MD5 bb9e1ee2db1e2e6d52133660da3f99fe
BLAKE2b-256 175335549d8079711ce45af5f9ec8ea5f312731e5757a957df939000229b546b

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 699df9f7b31e61c5349a4b0d3b9a1ae80e2102a72c600f8f3ca370a98ed21a90
MD5 d38f7c5b14f46a7ae798fda010b96173
BLAKE2b-256 f4483f87385abc306ea73b98b42afc50b8bb833842436756230fa3884b636fca

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 339.0 MB
  • Tags: CPython 3.5m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.8

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 97055477891853ff93fc1672cba5ebc5ba56ffb10158ebe8893e59d758b820d0
MD5 6064b27f9292e76532dac3b9299cbee1
BLAKE2b-256 379bc8def591673adb8a82d8af352a25c270da7e98c73542128db5c5f0132776

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 6ef5eaca897a62e53c41fc4e54a460b0f8a5aa97124703a961e17b0c4716752b
MD5 f0ee3b5751854b651e1af02319eb2bde
BLAKE2b-256 4225d4dcf709005f705fc1012a0f2d7fb4fbd43912ef57f7dc2b0930d887a5d9

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 24bf2f8aa2fdc5a990accbe668cb016458ad5f294642f854230def34cedc7386
MD5 0a86847523ebda179d0c50a9b58ab1c2
BLAKE2b-256 a9c10682eecfe88156f4e26ed5478a988783fea3bde26d9e4e281fb8a75d6f1b

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 339.0 MB
  • Tags: CPython 2.7m, Windows x86-64
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/40.6.2 requests-toolbelt/0.9.1 tqdm/4.40.2 CPython/3.6.8

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 698dac507d1083c19213b525920ddafd4beb83854536d55c4830155977b27eaa
MD5 516374e8485054439f7c8ae0bec3af15
BLAKE2b-256 17bf085f967ff2f722cb54240e3aa1247dc1e9c1939b2dce06ff256fe4d3bb21

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.5.post97-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 ff52a87cd2313d0424618a51b39fc7fcb5e78150ee3a0358cee5c290fe3c0cbf
MD5 a3b9228c57949f7481db86b02edcfc3c
BLAKE2b-256 9a5716aa49f10dff4daca22f1d0bbc4289fd1cdcfa6bb871e7cbfa96347914ae

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