Skip to main content

TensorFlow IO

Project description

The author of this package has not provided a project description

Project details


Release history Release notifications | RSS feed

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

tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.7m Windows x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-manylinux2010_x86_64.whl (20.4 MB view details)

Uploaded CPython 3.7m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-macosx_10_13_x86_64.whl (17.8 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.6m Windows x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-manylinux2010_x86_64.whl (20.4 MB view details)

Uploaded CPython 3.6m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-macosx_10_13_x86_64.whl (17.8 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-win_amd64.whl (15.2 MB view details)

Uploaded CPython 3.5m Windows x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-manylinux2010_x86_64.whl (20.4 MB view details)

Uploaded CPython 3.5m manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-macosx_10_13_x86_64.whl (17.8 MB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 8af0afaf264a2748dc7e6dfb33b89e84d9807d9f4bbe8b4c22c08b7094b66d1d
MD5 3b6478d17c43647aadac109cb0ad1aad
BLAKE2b-256 06f22d74cd9c8ff16afbd6656bad737f9290a6fe4b7cf9c8afa3971d60a03a79

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6ccf5441a3f6f2981eee4fb122db1a6d7f1c27b3ef24d8482395a3f97839e3ce
MD5 ec6cd6881e34c5989d9681497476d5f7
BLAKE2b-256 14b84817e531bc9b59f51b724489a6c8e789ab6f726e88b9ede1b1f3b8b8e8d5

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cbc4fa312daf442dd0f69030da44e482a6a08154f9fc131bce747e9dd79898ae
MD5 a6d0f6f52730e557e72b033b28689d42
BLAKE2b-256 94f800f6f723df5ddfd64097d1457c1a78f9e3e36cd9ec887460485281b2c1a7

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 e53b1fa323b0a4986fd9a5a1884bbaa3f95e6014315f86f89c42dc26e9c78f2b
MD5 97e9530c5668fa12f9b8fb25d7c25c7c
BLAKE2b-256 da79ad5b9cb483d5ae56d2a3a71a4037b50e1625a01d2942b2ea49acd67d074b

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e61e646624e688f668724a49f4d29139f1f14e8f6903cd391a47030ef6a007bc
MD5 d915288159fcea1b590ca3482a1055d2
BLAKE2b-256 8a251acff65058ba2ce41c68c9c9616c284ca9582458bdc4e047b422ee8f3395

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cecb40fe65cde64d54a00e971da47f931bf9ec54ee4a91bad6544dbbaef78e0d
MD5 439ceec709a7f41302b759501d0d839b
BLAKE2b-256 785cad2a9a6cbf5dc3a98c11bfc9c6eb11b3fff84ceeda94afec52f77c2b8bf2

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 5a9be2fdb6bdf2ac88b4998a9ee6c3eb0145a054c7fcb69397ae4f745f3af270
MD5 213b9fc2ce7a9ce53bf7c630926c795c
BLAKE2b-256 9e429214d935969a4996369c55e8fec6051c74fc2315c80c35cf498ef6e37e40

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a5761b76765e8faa71ff1c10823afceb59c27e73f38a8ce98e6a17cc2949403f
MD5 f2423452e5aa341d1ff6583b0eedb701
BLAKE2b-256 6fbb51096b0591768869daf0ec9ca2b75a1b167cb81969e694271bd11efa2272

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.12.0.dev20200311171603-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 eeb616a87d96621608eed1f3b3d82be38ce6e9a9f58b89dbd32a2c5ba246cda5
MD5 b0b0bbab9cd0f81cc6887abe2750aabc
BLAKE2b-256 29545246f4e327a651d193cb131613512f0fb1b7b1f25359d2831bf435327115

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page