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-0.8.0.dev1685-cp37-cp37m-manylinux2010_x86_64.whl (55.4 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-manylinux2010_x86_64.whl (55.4 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-macosx_10_12_x86_64.whl (48.8 MB view details)

Uploaded CPython 3.6m macOS 10.12+ x86-64

tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-manylinux2010_x86_64.whl (55.4 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-macosx_10_12_x86_64.whl (48.8 MB view details)

Uploaded CPython 3.5m macOS 10.12+ x86-64

tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27mu-manylinux2010_x86_64.whl (55.4 MB view details)

Uploaded CPython 2.7mu manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27m-macosx_10_12_x86_64.whl (48.8 MB view details)

Uploaded CPython 2.7m macOS 10.12+ x86-64

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 23fd493a0c71026b4490aee109c46cd4c6eb6f702e5ce08585874e016cb9e872
MD5 528f79fe3b7351a8cc1a8382f1c25cc1
BLAKE2b-256 562ea15500935b6600a65d89f8f8d2a39878b3708d3b785007e36aca5cf9c942

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 378f82f74866e8af8bae9979996b80ca4d0785045504e08b23d33ebd95f3087d
MD5 2d747f0f517c894668a402dfb88420b6
BLAKE2b-256 c907f0b788d0490b6790a44fe91f9994b5967ea00a55fc321f07d744b4b4cf78

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 270b9291fe0ca5caf0b438e8c92821bb16335315ff913790b0504345a8547abd
MD5 377e1b1f176a791aac545f1e9c14ea28
BLAKE2b-256 400e4fdaaa0c15fa38fe2af9cb5e359d8895945303a6edfae0c85200e9bb475e

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 6ad4c3614252d5ee6247b36a9a91317a1fa10a47d04d8ed63631c7147b8716d7
MD5 55fb50f97634476c27d54a3195ff30b9
BLAKE2b-256 73d89d420ecc01bdc4986fa6e7564584ff7d7b2c5bdc3e23792c4a4ead5efed5

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp35-cp35m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 5d26a7ef46e4a9af5744f1c0f5eedc7fea7420e6ed9a5ade58cfddefef2653aa
MD5 e882710fa7bd100ca33bba326c6751af
BLAKE2b-256 ed8a524f31ff20993d08aefe32af5a86680e3157fae02a9c03367bc57875a139

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f41bfd1a4050de77c71955198d9458c4d7f16aaf1342913f088448672d7941bc
MD5 a4ef84aa435cf4ab121e586637d3d884
BLAKE2b-256 a4011adee87bd12c863025d70fad0aed969da1608c55bb8f92aa2c8e053c4b15

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1685-cp27-cp27m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 8d81eb9db6522dfd69f0e6fab950cc6d67045f13db774a6f25c55cf06cd60218
MD5 b361755dbc538f325352015f0075732f
BLAKE2b-256 4cac923a861e6e4e49350412dfc215391fcf69da3e5291599071797909a2b311

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