Skip to main content

Parallel Distributed Deep Learning

Project description

The author of this package has not provided a project description

Project details


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-1.7.2.post97-cp37-cp37m-win_amd64.whl (193.4 MB view details)

Uploaded CPython 3.7mWindows x86-64

paddlepaddle_gpu-1.7.2.post97-cp36-cp36m-win_amd64.whl (193.4 MB view details)

Uploaded CPython 3.6mWindows x86-64

paddlepaddle_gpu-1.7.2.post97-cp35-cp35m-win_amd64.whl (193.5 MB view details)

Uploaded CPython 3.5mWindows x86-64

paddlepaddle_gpu-1.7.2.post97-cp27-cp27mu-manylinux1_x86_64.whl (252.2 MB view details)

Uploaded CPython 2.7mu

paddlepaddle_gpu-1.7.2.post97-cp27-cp27m-win_amd64.whl (193.5 MB view details)

Uploaded CPython 2.7mWindows x86-64

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp37-cp37m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.7.2.post97-cp37-cp37m-win_amd64.whl
  • Upload date:
  • Size: 193.4 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-1.7.2.post97-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 231a028fe2b0801305beca089309ed38b64fb283c3975f1f2d4db53c68321e25
MD5 e98e894d9eff4a2ee2ae6a8d11dc2c49
BLAKE2b-256 11801c6e42b3a87545525572114294bb7a0859732e43cb19428efadd067636ae

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp37-cp37m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.7.2.post97-cp37-cp37m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 1160703b22ccb87685ece340643af54bef7ec5ff89aee8d23a08750577be2862
MD5 724fe62201a672d0968bf8e2fbb218d5
BLAKE2b-256 792fd62ebbcbed62116cb0fa0692bb10bbbea7239bb4df5edd04655391f24c1c

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp36-cp36m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.7.2.post97-cp36-cp36m-win_amd64.whl
  • Upload date:
  • Size: 193.4 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-1.7.2.post97-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 1a6f8a50c4e3d9975168b2a01b15f62bed1b77331a8cb305a6bc2eb340d33ccd
MD5 edc993f214661ff0c75f41e24d8930f4
BLAKE2b-256 7861ed8a7952e793bf02f9235d38935487ba5f08d98c67a709dd546b8d7c5b20

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp36-cp36m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.7.2.post97-cp36-cp36m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 db653927696ba936b12aff94da62128cf2783924af34d8ff4054bb319eb1d95f
MD5 80fccaa93819bbc52bdd046907af37e1
BLAKE2b-256 932d83472df49db5fbb9c70a010effac5b8d3f08a1ad7326cf7d8b63e67b6947

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp35-cp35m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.7.2.post97-cp35-cp35m-win_amd64.whl
  • Upload date:
  • Size: 193.5 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-1.7.2.post97-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 6de34e397a16a21c7d78bb86514404e0efe361d27dceb60745367529db2d4bc3
MD5 974c8ed6522822e712a4f2f1b33c85e5
BLAKE2b-256 2d8fa68bec78dbf15a6c035697eef85bfc9fd96e2d31002a7307129a9329c354

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp35-cp35m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.7.2.post97-cp35-cp35m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 388753d7bf55a719b1d97750895f74ed875b3cff3a69a13002a187115231aba0
MD5 6422070304c59766704698f9ae1abfeb
BLAKE2b-256 1a8ccbe157874927f1acc06469ba6103399227630db18bc709aa5d0d775e3c2d

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp27-cp27mu-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.7.2.post97-cp27-cp27mu-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 31f487e7a90597eae3c54aceb3e1c3d1475ead6c589578c80d967bbff7069827
MD5 912a0e80a9bf358a68e4f776bdd0895c
BLAKE2b-256 7ba527825442a3cbf24e889e741a63f320c6a26f294280dab495f7e6f1cd2f4a

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp27-cp27m-win_amd64.whl.

File metadata

  • Download URL: paddlepaddle_gpu-1.7.2.post97-cp27-cp27m-win_amd64.whl
  • Upload date:
  • Size: 193.5 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-1.7.2.post97-cp27-cp27m-win_amd64.whl
Algorithm Hash digest
SHA256 d9bfcbcacd962e1e746adeeb6ff3d9fcf8751db3a6eeb974d3fe28201bec52bf
MD5 513637bb11e1f508744afcf92268c057
BLAKE2b-256 e89abae5430f7fc81d6a5f4789eadf6a78417fc5a76bcbc75aa63fe57b26cb4d

See more details on using hashes here.

File details

Details for the file paddlepaddle_gpu-1.7.2.post97-cp27-cp27m-manylinux1_x86_64.whl.

File metadata

File hashes

Hashes for paddlepaddle_gpu-1.7.2.post97-cp27-cp27m-manylinux1_x86_64.whl
Algorithm Hash digest
SHA256 2c00158c32d6fb990910d95e7a859a380ce97a17005051d494d4f633eda787ad
MD5 a83c09bf4358a0eb089fdfdc36c0a772
BLAKE2b-256 54d5dd4558a3e007ef922f4e19d633149f9f230bbd36dcb7c8d7ca773d76ee26

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