This project has been archived by its maintainers, and is no longer receiving any updates.
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 files for tf-nightly-intel 2.19.0.dev20241014
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Reset | |||
|---|---|---|---|---|
| tf_nightly_intel-2.19.0.dev20241014-cp312-cp312-win_amd64.whl | CPython 3.12 | CPython 3.12 | Windows x86-64 | Details |
| tf_nightly_intel-2.19.0.dev20241014-cp311-cp311-win_amd64.whl | CPython 3.11 | CPython 3.11 | Windows x86-64 | Details |
| tf_nightly_intel-2.19.0.dev20241014-cp310-cp310-win_amd64.whl | CPython 3.10 | CPython 3.10 | Windows x86-64 | Details |
| tf_nightly_intel-2.19.0.dev20241014-cp39-cp39-win_amd64.whl | CPython 3.9 | CPython 3.9 | Windows x86-64 | Details |
Total release size: 1.0 GB
Release files / tf_nightly_intel-2.19.0.dev20241014-cp312-cp312-win_amd64.whl
| Download URL | tf_nightly_intel-2.19.0.dev20241014-cp312-cp312-win_amd64.whl |
|---|---|
| Size | 256.3 MB |
| Tags | CPython 3.12 Windows x86-64 |
|
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
Release files / tf_nightly_intel-2.19.0.dev20241014-cp311-cp311-win_amd64.whl
| Download URL | tf_nightly_intel-2.19.0.dev20241014-cp311-cp311-win_amd64.whl |
|---|---|
| Size | 256.2 MB |
| Tags | CPython 3.11 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
Release files / tf_nightly_intel-2.19.0.dev20241014-cp310-cp310-win_amd64.whl
| Download URL | tf_nightly_intel-2.19.0.dev20241014-cp310-cp310-win_amd64.whl |
|---|---|
| Size | 256.0 MB |
| Tags | CPython 3.10 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
Release files / tf_nightly_intel-2.19.0.dev20241014-cp39-cp39-win_amd64.whl
| Download URL | tf_nightly_intel-2.19.0.dev20241014-cp39-cp39-win_amd64.whl |
|---|---|
| Size | 256.0 MB |
| Tags | CPython 3.9 Windows x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.1
|
