Skip to main content
Archived

This project has been archived by its maintainers, and is no longer receiving any updates.

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.

Metadata

Release files for tf-nightly-intel 2.19.0.dev20250122

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for tf-nightly-intel 2.19.0.dev20250122
File
tf_nightly_intel-2.19.0.dev20250122-cp312-cp312-win_amd64.whl CPython 3.12 CPython 3.12 Windows x86-64 Details
tf_nightly_intel-2.19.0.dev20250122-cp311-cp311-win_amd64.whl CPython 3.11 CPython 3.11 Windows x86-64 Details
tf_nightly_intel-2.19.0.dev20250122-cp310-cp310-win_amd64.whl CPython 3.10 CPython 3.10 Windows x86-64 Details
tf_nightly_intel-2.19.0.dev20250122-cp39-cp39-win_amd64.whl CPython 3.9 CPython 3.9 Windows x86-64 Details

Total release size: 948.8 MB

Release files / tf_nightly_intel-2.19.0.dev20250122-cp312-cp312-win_amd64.whl

Download URL tf_nightly_intel-2.19.0.dev20250122-cp312-cp312-win_amd64.whl
Size 237.3 MB
Tags CPython 3.12 Windows x86-64
SHA-256 checksum
How to use checksums
91fe2b47ba7e4760634e78242a9a2f9282279a783080a00652a91ead4ae547e6
BLAKE2b-256 checksum
How to use checksums
97fcfaa1bb21399137a5c1b0ae9a1c585741306080567b0f65e51c73c72bf618
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.1

Release files / tf_nightly_intel-2.19.0.dev20250122-cp311-cp311-win_amd64.whl

Download URL tf_nightly_intel-2.19.0.dev20250122-cp311-cp311-win_amd64.whl
Size 237.3 MB
Tags CPython 3.11 Windows x86-64
SHA-256 checksum
How to use checksums
f88552df7db8daa303e946dd3455ecbdf0b3bdacd6f3dc82fac7c0b304b40480
BLAKE2b-256 checksum
How to use checksums
2d414964e42868d64ec14fd92d5598215f1bdcee7c01d550acf016f6a0cc6c24
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.1

Release files / tf_nightly_intel-2.19.0.dev20250122-cp310-cp310-win_amd64.whl

Download URL tf_nightly_intel-2.19.0.dev20250122-cp310-cp310-win_amd64.whl
Size 237.1 MB
Tags CPython 3.10 Windows x86-64
SHA-256 checksum
How to use checksums
1db1e11f229489e4ddf14b5ff68b77a67b935761c3f98fdb6aa82761587d64e3
BLAKE2b-256 checksum
How to use checksums
c3d2aec6aae44574e748cade664db880f4de809a448733e27aeffed7a8d7817f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.1

Release files / tf_nightly_intel-2.19.0.dev20250122-cp39-cp39-win_amd64.whl

Download URL tf_nightly_intel-2.19.0.dev20250122-cp39-cp39-win_amd64.whl
Size 237.1 MB
Tags CPython 3.9 Windows x86-64
SHA-256 checksum
How to use checksums
90e987b3ef5aca8df86f2278da967481a53731db3d9686f936b23a53df644ed3
BLAKE2b-256 checksum
How to use checksums
4317de7f159deb48ada891609cc69e16c1b5eb0ed8066706913ecbf92567f3d7
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.12.1

Release history Release notifications | RSS feed

This release
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page