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-0.13.0.dev20200415163800-cp38-cp38-win_amd64.whl (15.6 MB view details)

Uploaded CPython 3.8 Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-manylinux2010_x86_64.whl (20.8 MB view details)

Uploaded CPython 3.8 manylinux: glibc 2.12+ x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.8 macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-win_amd64.whl (15.6 MB view details)

Uploaded CPython 3.7m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-manylinux2010_x86_64.whl (20.8 MB view details)

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

tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.7m macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-win_amd64.whl (15.6 MB view details)

Uploaded CPython 3.6m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-manylinux2010_x86_64.whl (20.8 MB view details)

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

tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.6m macOS 10.13+ x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-win_amd64.whl (15.6 MB view details)

Uploaded CPython 3.5m Windows x86-64

tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-manylinux2010_x86_64.whl (20.8 MB view details)

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

tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-macosx_10_13_x86_64.whl (18.2 MB view details)

Uploaded CPython 3.5m macOS 10.13+ x86-64

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-win_amd64.whl
Algorithm Hash digest
SHA256 1dacfaa2c51149ee880d91af400cf02579a691341bbfa9404afadef1b1150d5f
MD5 f07e533107d88d78e228d89fa464f701
BLAKE2b-256 303b23acb1f0797f5562a971d1693f5c7177e68ea7af165cea4f9fc38b048e95

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 f787d8834e2e364cb9983c25f9884570db190232b024dc5da6d09ebbc25ffe3e
MD5 05bdb264f355426a5b51ccc430690992
BLAKE2b-256 65e0394e74b08a1fd83772f8d8dd87fcfaa6f42b4c6b1425bb5f1efa2d940966

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp38-cp38-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 ad74e5b762f1e392e6d7336adf26e382c7bee2a2641a1c3a912837cd5de0527f
MD5 43cbceecec468794bc6d72d19c9b1f43
BLAKE2b-256 5af02c46d1bdba10e21c4f5f97112f26a548cdaf5d943dd7d88a1c55db73552d

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-win_amd64.whl
Algorithm Hash digest
SHA256 5db25cd56fb3058d096995b78045234c611199d88dce63fceef9caf1efe874b3
MD5 b3471ae038101551164a48429d4f36cf
BLAKE2b-256 68260c05e54e9f5014fb4c834dfc4d00603ad4f6219e8c41dc5ff51cac01f842

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 ea90911ddc67414a154855ade9b37c7daeeaa166cbef9ebb65261359d9061a34
MD5 cb5765d0b77c84126df2e2abc454ed00
BLAKE2b-256 b83a737be2d13a8fc76a132a60e482990880c76d0acd596b112a9de8a84afa36

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp37-cp37m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 cd38782ba2ffe382214baaf5b52bf101ccb330bdb42510972ef846adbe4d9a41
MD5 7cb98bc55a93a096f3bf6651d8bbbee1
BLAKE2b-256 f1605cf5dcb66f6fcab5b040f344d84dc681f380b51b8976f1b8c6addc67c2f8

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-win_amd64.whl
Algorithm Hash digest
SHA256 a66e7355fa5c8702689646be49418c468b83c199b6b5a894397b8f5179edc9a1
MD5 270f8db7471c154d3f61923077be9852
BLAKE2b-256 ef9dbe310149ea98d2d4c473e654c374cb8c831b1b1672860521150a16e81723

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 e51d42b199320aa8460b92c1e23a902051c9700dc55acebabd8fd3a8813c1008
MD5 93f2e05f99913741aa8124daba16deec
BLAKE2b-256 0837e59beac795b9d40c5bfa2b649cac26dd244ce130bd6b277bbc5844aefbc1

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp36-cp36m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 f0a9a59d3079e6f59044818fd41af2c99065fed1946e7e33d4933a6bdfe2e101
MD5 66d2d203fcb8f626c877e961f8a98ee3
BLAKE2b-256 f274dcf10f6315decb61043df829d843e6d6eeb5785630d9fedc31ba8f053fcc

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-win_amd64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-win_amd64.whl
Algorithm Hash digest
SHA256 093a0a6aa53a7c090c9d159b6ab7186dc2c426023963a36ad279e99fe3e62a79
MD5 efb196b100c6cef147e854c5851807e3
BLAKE2b-256 474bfcd47ed2befe90f437367329fa636f3016ea0a6e817a864a2ec66fad4c37

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 70e2df3ce28e60db2454b4dab0130bc9b65adaa71e8763e1495f150517fcd0e0
MD5 a103609be618a0a9647183a00cb13787
BLAKE2b-256 addd3913cfe5007a6f3b5a69202ecbfd7108bcebe8ab1e3db00c7beb0ca04d8b

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-macosx_10_13_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.13.0.dev20200415163800-cp35-cp35m-macosx_10_13_x86_64.whl
Algorithm Hash digest
SHA256 8cc19f8ee3c6d05650f75973d616bca85b14105349020c6acd6e19497029cc40
MD5 cd596a4fc3cb906b866a48ee32a0fb5f
BLAKE2b-256 403656ca5651c267a2d878a93f7a118c4ba2ef6b4d4e2074615f352082927f1f

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