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

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

This version

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-1.8.1.post97-cp37-cp37m-win_amd64.whl (338.6 MB view details)

Uploaded CPython 3.7mWindows x86-64

paddlepaddle_gpu-1.8.1.post97-cp37-cp37m-manylinux1_x86_64.whl (404.8 MB view details)

Uploaded CPython 3.7m

paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-win_amd64.whl (338.6 MB view details)

Uploaded CPython 3.6mWindows x86-64

paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-manylinux1_x86_64.whl (404.8 MB view details)

Uploaded CPython 3.6m

paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-win_amd64.whl (338.7 MB view details)

Uploaded CPython 3.5mWindows x86-64

paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-manylinux1_x86_64.whl (404.8 MB view details)

Uploaded CPython 3.5m

paddlepaddle_gpu-1.8.1.post97-cp27-cp27mu-manylinux1_x86_64.whl (404.8 MB view details)

Uploaded CPython 2.7mu

paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-win_amd64.whl (338.7 MB view details)

Uploaded CPython 2.7mWindows x86-64

paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-manylinux1_x86_64.whl (404.8 MB view details)

Uploaded CPython 2.7m

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.1.post97-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 338.6 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-1.8.1.post97-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 215ddb9dc122e9faf419524a297fef2f85c36e8adedc420694564f4b0aecebcb
MD5 19c481de7f5dd61e838a80d8850326d9
BLAKE2b-256 4b5058369f2a158308caeab3747dbb679dfa4a9a2e113387af3a2b4d95250aed

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.1.post97-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 9fff14d2018484d9759269b46d85be640f077121b7dddbea64cbc2f709235d56
MD5 180fec1eb0f5176b068e23027e87cdfe
BLAKE2b-256 cd43ee696a04b288c1ca29b0483d563d5684de45a975968ada7764e76b902eae

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 338.6 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-1.8.1.post97-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 6cd18800059e56c92adbef89ba44bf332efa04b0ce9279a9cf91759aa3a1e017
MD5 972936454b470a1795a3609f270ae5ae
BLAKE2b-256 f63425b7628a8a0a7a2e0299898972dec2ea32332a901ba908ba927786efa6e6

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.1.post97-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 c662282d5b699665c69e1afd3a925991175b16e1bb2ec88d8c111f36ff8bedf1
MD5 690b446f584a0816fb18b5e5c1183ee3
BLAKE2b-256 dff1ca4727367ab7be893dd6bc3b57c88f31ca77d6621f6781667899458f2f61

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 338.7 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-1.8.1.post97-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 397a0e6d3f37733d44dbb7d026c415b301650eda223f15a6242414f469571aa2
MD5 91a77922d0922f0e80fcf300fc4cc35e
BLAKE2b-256 a39eaa2792adca297e4d0d7f60f729341cc832d59d19edbdd7cb400725e346a7

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.1.post97-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 f5890b624d62dd1aba5dfd8ab502500b58e359aad9404373bb5bb149ec25f738
MD5 bcf42a9b78975fd75c10211a23ada96d
BLAKE2b-256 d0151d01bdc9178c2d4c4d6b6be9d1b2f9ef8fb8138457ebe6fb27a282b6090a

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.1.post97-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 b6461e923fe7a3a1b7fd0178988d95dee49e7aca9e2a65dd9aa814d16666cf1c
MD5 25da169f2cbe68301fbf95f879cc8d4d
BLAKE2b-256 25377c67b7387065a10a83e6a927146f2be04929bf8f36b164788bbdcfb5c5a5

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 338.7 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-1.8.1.post97-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 7f8bdeac1b2e54909d879dd2a24abc2641fd87c2e65b2326c5a8277f482cf733
MD5 20b4db2567436a834e8452dfcd35a86d
BLAKE2b-256 c682306f67f85428f9ded7c0f8f51cb36c9255ddc38e05fb7047cbdf00aa9f2f

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.8.1.post97-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 216d5d1a3ec540dde07b9617937630d7c677ca0bae0509d2c71c4dff989cc8a1
MD5 f74b80e2994e2bf9cef5c24be9159405
BLAKE2b-256 36fcd587019d31589739ec192182464abfbd020d80a77c3056840cb9fd3bea0d

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