This release is a pre-release and may not be stable for production use.
BigDL Nano automatically accelerates TensorFlow and PyTorch pipelines by applying modern CPU optimizations.
See here for more information.
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2 maintainers
Release files for bigdl-nano 2.2.0b20221029
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Built distributions (wheels)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| bigdl_nano-2.2.0b20221029-py3-none-win_amd64.whl | Python 3 | none | Windows x86-64 | Details for bigdl_nano-2.2.0b20221029-py3-none-win_amd64.whl |
| bigdl_nano-2.2.0b20221029-py3-none-manylinux2010_x86_64.whl | Python 3 | none | Linux glibc 2.12+ x86-64 | Details for bigdl_nano-2.2.0b20221029-py3-none-manylinux2010_x86_64.whl |
| bigdl_nano-2.2.0b20221029-py3-none-macosx_10_11_x86_64.whl | Python 3 | none | macOS 10.11+ x86-64 | Details for bigdl_nano-2.2.0b20221029-py3-none-macosx_10_11_x86_64.whl |
Total release size: 8.7 MB
Release files / bigdl_nano-2.2.0b20221029-py3-none-win_amd64.whl
| Download URL | bigdl_nano-2.2.0b20221029-py3-none-win_amd64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 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/4.0.1 CPython/3.7.15
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Release files / bigdl_nano-2.2.0b20221029-py3-none-manylinux2010_x86_64.whl
| Download URL | bigdl_nano-2.2.0b20221029-py3-none-manylinux2010_x86_64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Linux glibc 2.12+ x86-64 Python 3 |
|
SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.15
|
Release files / bigdl_nano-2.2.0b20221029-py3-none-macosx_10_11_x86_64.whl
| Download URL | bigdl_nano-2.2.0b20221029-py3-none-macosx_10_11_x86_64.whl |
|---|---|
| Size | 2.9 MB |
| Tags | Python 3 macOS 10.11+ x86-64 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.7.15
|
Security for bigdl-nano 2.2.0b20221029
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