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.dev1842-cp37-cp37m-manylinux2010_x86_64.whl (60.2 MB view details)

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

tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-manylinux2010_x86_64.whl (60.2 MB view details)

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

tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-macosx_10_13_x86_64.whl (53.3 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-manylinux2010_x86_64.whl (60.2 MB view details)

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

tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-macosx_10_13_x86_64.whl (53.3 MB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27mu-manylinux2010_x86_64.whl (60.2 MB view details)

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

tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27m-macosx_10_13_x86_64.whl (53.3 MB view details)

Uploaded CPython 2.7m macOS 10.13+ x86-64

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 3dfc608a703033c6838f2abf96a5c04f8260738a2ecb09f9368799e2b9733631
MD5 34457106679700404fa86c811202c17d
BLAKE2b-256 e8c76509e6dab188a5c2bdd51bc84eb9591cf0ac58e7c3fce6e26dcb02ac968d

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 1f868723e820c62cf0f87912fc2d1c7cf2a5d0fda911ffe6a558e5913a911bd7
MD5 c93cb1a0e2306ea18631ef60bae545a3
BLAKE2b-256 8e72649dda56266b68404dce1f8aac88d29f0139163e2cb41b9ed05986444d63

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 86a422b4863df784971edd87306cd4fd8de1233143cefae1be5e289b26df1562
MD5 243e7b2123c35ff7b12337fdf3ab8f42
BLAKE2b-256 14c80871e3347f8395c6221d099a511543112448805aa6c55cc73328a6b3725a

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e2220e611b4ee60f9dfb97e8bbaf5e6a33caafeda62c5eb0577f2f378697b9db
MD5 bb7f80089b7a747de9c493a965226c4b
BLAKE2b-256 0d52842520619657ee84e8c01636de63281727251acad4bd2fe4eb0a76a5e537

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8a281987e434dea50193abc5b6cadb38713c5bb24d9d36d7dc251e849471f5f7
MD5 02cba96a60a7473c16929e17b98f84d9
BLAKE2b-256 21c66e40b7e8a44da94e3cf3a36c65d57c095fe511fa9b554b943530477303f8

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 8217f3c9595272577d9d6a609088b09d18973d42dc9012d4ce3e75d926bca832
MD5 276379d498f2455388f5f2e705210321
BLAKE2b-256 8ad20cbd0d0ae553b7e5a1033f2a95f5ddba34360a846a2fe026518c2272d2be

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.9.0.dev1842-cp27-cp27m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 c712e0267837e4d043002e77be70dafdcee0491a61062c75f6a9ab83e55514eb
MD5 3c88ccecf11632a179fe8cfa0a6ff00d
BLAKE2b-256 4d188ee6d0965db17b5aa2ec0ed2c7cc96dd549a65672aec4679e23ca235d471

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