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-0.9.0.dev2027-cp37-cp37m-manylinux2010_x86_64.whl (39.1 MB view details)

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

tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-manylinux2010_x86_64.whl (39.1 MB view details)

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

tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-macosx_10_13_x86_64.whl (34.4 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-manylinux2010_x86_64.whl (39.1 MB view details)

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

tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-macosx_10_13_x86_64.whl (34.4 MB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27mu-manylinux2010_x86_64.whl (39.1 MB view details)

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

tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27m-macosx_10_13_x86_64.whl (34.4 MB view details)

Uploaded CPython 2.7m macOS 10.13+ x86-64

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 a138eb94f9c7efc1ea0054e7643bc5ea397ebc6c66184d12e12b901d68cf142f
MD5 57c7406d01efae856d60bdf3c168429f
BLAKE2b-256 9e769788663257f9e227c80c257d3b07cd4d2688b44b410de0c56ff8e464c8cb

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e68e6eae2390855516745cbce3d0320f75ec193a1eb49c0d4322ae6b85318697
MD5 2b3e1fd862059b1944768fea4e87c4ae
BLAKE2b-256 e3c1984ed9904f89caf8764730d42ec78c7f1a83938cedc0d7513d3f6c8b8519

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 85df8f7d1592ce1af9a36f6a0cfcd34a13ba52815051014450222d307d35ac4d
MD5 8ea5f4d97309151b49f141d4f8c3cf53
BLAKE2b-256 60171fd45dc3c30ae380cc7b5857c15bf829bed88017adbd65bea6794781e518

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 d5badab8f76ee78b82212d5471ed98fe89c608713433640d1238022f00a88111
MD5 c77ec9e161dbe7703a192ce5ca58ebf1
BLAKE2b-256 246fd0de22a1880cb8dff8e499a1c6593a01fc21a43e00fc18ffe0290ba6fe5a

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 30fd7db7645b2ba442da8fc0ca290ccbfb3990e4f7d445e5995b24a69682ff25
MD5 1d61a2424a4ba8841d47852918934e36
BLAKE2b-256 6d74ce8663c276368c5023b0f68ff500483dc8a2119451908e15b6f114097237

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 daa5f3ed8aa3b4040308b2701ef195c9cc575b06852b8451731fcac03dab20ef
MD5 08b7c3896b2724fee7e26333987c7c8c
BLAKE2b-256 1112100d722140aac7c12d670aaa9ba248248f07e6cca09ee08a86bbcb391c74

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev2027-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 da4acf400bbc3841bbf627b87d80194dc696ed426f55ee7a8f662140771cffb7
MD5 60bcfb1fdc8878452d489d134c9eec8e
BLAKE2b-256 23d4b5242f97986c0b99400e50123d05d79c60b5ca77cd7a48ab6664a47b226b

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