Skip to main content

TensorFlow is an open source machine learning framework for everyone.

Project description

Python PyPI

TensorFlow is an open source software library for high performance numerical computation. Its flexible architecture allows easy deployment of computation across a variety of platforms (CPUs, GPUs, TPUs), and from desktops to clusters of servers to mobile and edge devices.

Originally developed by researchers and engineers from the Google Brain team within Google's AI organization, it comes with strong support for machine learning and deep learning and the flexible numerical computation core is used across many other scientific domains. TensorFlow is licensed under Apache 2.0.

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

tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-win_amd64.whl (7.8 kB view details)

Uploaded CPython 3.12 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.4 MB view details)

Uploaded CPython 3.12 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.11 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.3 MB view details)

Uploaded CPython 3.11 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-win_amd64.whl (7.8 kB view details)

Uploaded CPython 3.10 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.2 MB view details)

Uploaded CPython 3.10 manylinux: glibc 2.17+ x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-win_amd64.whl (7.7 kB view details)

Uploaded CPython 3.9 Windows x86-64

tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (229.2 MB view details)

Uploaded CPython 3.9 manylinux: glibc 2.17+ x86-64

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-win_amd64.whl
Algorithm Hash digest
SHA256 5e4b304ee64f09f0afe8e948fc0150a087170efac78d756830cc2e85cd368af1
MD5 f29f09ccfa866c88547049cf1baef268
BLAKE2b-256 7478c35ad7ee980bb9d2c2b527983ede8687666640673530db0375509ff13cd9

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 1a2d86b1517117984b8b06c0bbcf269f48d273708f12c3a002e4fee034f8867d
MD5 5d096632be754940f56b9c6fdf4ba1fc
BLAKE2b-256 c9edb5b9b473d4bd211f6484512dcb1db00f110932b4b7de5322c50e1085aa47

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-win_amd64.whl
Algorithm Hash digest
SHA256 b2261a6e6a803b5680b9b8a06290269293f3fe56db9181aeb0ab89808f2812ec
MD5 997b8eafd6967a2894e8769c8f4a9763
BLAKE2b-256 9113e4349258c6250a8097a79be74e28d8a208dc7e1c2dca1384c5fcf94ed079

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 20884081234dd1cc400c3e3759e42d7e5f94f82e441fef29f773a4d79d8b50f4
MD5 ead703ad7481c59f30c337fdff4fb941
BLAKE2b-256 2587b0d0e26e28dedbdbdb8944ccb3642eebeabd4fc4fa38afa11ce20eda8748

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-win_amd64.whl
Algorithm Hash digest
SHA256 27ae2591b021b021e6b0ba53e4dcd7258146396137ae4a19e71253a8c2a70630
MD5 42957b717376bce4233f1b377459e69f
BLAKE2b-256 49d3d9f180e47df0fd5916ec1e61fe2567dcd168846652af072a2ad17f0a2dde

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 b06112d7aa2cf3edd6b127467820fad6736bd14cea3f76428b6e09803e34351a
MD5 3f74e3826fcf91228cacd5b0abb498e1
BLAKE2b-256 9aab0209e268324b3dfdd12e5f33c419676240606e0929758aa6b67901c8ca34

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-win_amd64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-win_amd64.whl
Algorithm Hash digest
SHA256 df429eb9622b1f4f4f30116f41868f5be986ddb21ee5bb740961a135e4788090
MD5 3a97512a12918f985e8a23e11de787f0
BLAKE2b-256 31a37afa9948afb33f22a662a5b8b98991f7d8e40ddbc7addbe305caf9beb37c

See more details on using hashes here.

File details

Details for the file tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl.

File metadata

File hashes

Hashes for tf_nightly_cpu-2.18.0.dev20240904-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
Algorithm Hash digest
SHA256 cf42b2b01d0b50769afa7d98adabfe774c5eec97df017ecd4ef0c1eabbb8c5d3
MD5 1a21732e226e30dbbb37ee7e382bb73e
BLAKE2b-256 02769dd87d20212b00cbdf1ccdb67ecc6d1c137f105599d8093d7f043ffdc756

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