Embedded Network Optimization Technology
ENOT, or Embedded Network Optimization Technology, is a flexible tool for Deep Learning developers which automates neural architecture optimization. It can be useful in the following scenarios:
- Target metric maximization (e.g., classification accuracy or intersection over union);
- Target metric maximization with constrained computational resources (e.g., RAM, latency);
Framework advantages:
- Controlled ratio between latency and network performance;
- Networks in the pre-trained search space can exceed their stand-alone variants (in some scenarios);
- Compatibility with almost any DL task and simple integration with the existing training pipelines.
- Joint neural architecture search, prunning and distillation procedure can be applied to found optimal neural network architecture.
To use this package please refer to our documentation page.
Visit our website for more information.
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Release files for enot-autodl 3.7.2
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 | Reset |
|---|---|---|---|---|
| enot_autodl-3.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.10 | CPython 3.10 | Linux glibc 2.17+ x86-64 | Details |
| enot_autodl-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.9 | CPython 3.9 | Linux glibc 2.17+ x86-64 | Details |
| enot_autodl-3.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl | CPython 3.8 | CPython 3.8 | Linux glibc 2.17+ x86-64 | Details |
Total release size: 44.5 MB
Release files / enot_autodl-3.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | enot_autodl-3.7.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 14.8 MB |
| Tags | CPython 3.10 Linux glibc 2.17+ x86-64 |
|
SHA-256 checksum How to use checksums |
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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/3.10.14
|
Release files / enot_autodl-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | enot_autodl-3.7.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 14.8 MB |
| Tags | CPython 3.9 Linux glibc 2.17+ 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/3.9.19
|
Release files / enot_autodl-3.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | enot_autodl-3.7.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
|---|---|
| Size | 14.9 MB |
| Tags | CPython 3.8 Linux glibc 2.17+ 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/3.8.10
|
Security for enot-autodl 3.7.2
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