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.dev1627-cp37-cp37m-manylinux2010_x86_64.whl (18.7 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-manylinux2010_x86_64.whl (18.7 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-macosx_10_12_x86_64.whl (17.1 MB view details)

Uploaded CPython 3.6m macOS 10.12+ x86-64

tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-manylinux2010_x86_64.whl (18.7 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-macosx_10_12_x86_64.whl (17.1 MB view details)

Uploaded CPython 3.5m macOS 10.12+ x86-64

tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27mu-manylinux2010_x86_64.whl (18.7 MB view details)

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

tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27m-macosx_10_12_x86_64.whl (17.1 MB view details)

Uploaded CPython 2.7m macOS 10.12+ x86-64

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp37-cp37m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp37-cp37m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 c34e904e43ba4ba3bbf5bcf28ec2de067b34ca44f5321ad21ac3984c4e4a61b7
MD5 c3c21df7b8229b307e74d16a320e6c6b
BLAKE2b-256 a9cc91fbe9e906887f9b64df636b358f751a704df7cca07d02afc4b9568a86e7

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 991cca3cd220a24c3beecf9bb87a1ff5f675f5bd5edc7bfe5682c5326e39d573
MD5 4250bb97a88f1e7cd5ae7b0330690840
BLAKE2b-256 07776c8ece48d64f07bbd25482b78a55ac6b24d02786122bef576430615331e0

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp36-cp36m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 44f8f17284f7d87f69056e57b2a7628ccd393ab251f25df054da0847aec556be
MD5 de7e85610478aa0967fdd326d79d666b
BLAKE2b-256 3fd16ba665a08d4a9b3e397623852f31c8a65cb01c6fb1d4ddc4ce54df90f0a1

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 2036e91581387ca5531ae28a68f34289350830f4439bdb669c3fa590d11143fe
MD5 b4c69e44555cb1e3ec643abbe978573c
BLAKE2b-256 1e4636aba2e37683557aaab05c30fab68809f3f5c8fbf3c1acfac18e1b5558d0

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp35-cp35m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 f32a54cbdac3386ee81b209e73f4b5cc6476db21cd070f904cfaad86f771ed00
MD5 b3e0fea87f509626fc570706323d4063
BLAKE2b-256 1344e1f600c0109c89a956b3e4eed3b4d743a6cd109e1cb9e5d901db9fc39d2e

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27mu-manylinux2010_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27mu-manylinux2010_x86_64.whl
Algorithm Hash digest
SHA256 70ad0efbe75f88f11485a8d8241a147d7ae50b4439e31e354b5e3a75396f1f55
MD5 06c60158a0838dc8749c1c18059a3c8d
BLAKE2b-256 e5a45bc496066f9c60f9ab05e38174cc253a7d69d8dc9c2afc0c7fadb041f373

See more details on using hashes here.

File details

Details for the file tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27m-macosx_10_12_x86_64.whl.

File metadata

File hashes

Hashes for tensorflow_io_nightly-0.8.0.dev1627-cp27-cp27m-macosx_10_12_x86_64.whl
Algorithm Hash digest
SHA256 9ff3b08b48e28511efcd6b7a9d4c3fd7246ec38c2f8108fb6a2e65871d4d5660
MD5 c78dfca6c894096cf6fa2fe19f68db4e
BLAKE2b-256 dbb01d07a26c447a4a3362936244f248ed01b4a33bbe4ab4396bb8811b51ef1a

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