ssp4onnx
Simple Split for ONNX. A simple tool that automatically splits ONNX models of specified weight sizes.
Usage
pip install ssp4onnx
ssp4onnx -i model.onnx --auto_split_max_size 1GB
Options:
-i/--input_onnx_file: input ONNX file (required)-o/--output_dir: output directory (optional, default: same directory as input)-s/--auto_split_max_size: target partition size, supportsKB,MB,GB(default:100MB)
Sample reuslts
| Split.1 (1.1GB) | Split.2 (1.1GB) | Split.3 (0.4GB) |
|---|---|---|
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1 maintainer
Metadata
1 maintainer
Release files for ssp4onnx 1.0.4
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ssp4onnx-1.0.4.tar.gz | 7.7 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ssp4onnx-1.0.4-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / ssp4onnx-1.0.4.tar.gz
| Download URL | ssp4onnx-1.0.4.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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No |
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twine/6.2.0 CPython/3.9.25
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Release files / ssp4onnx-1.0.4-py3-none-any.whl
| Download URL | ssp4onnx-1.0.4-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | 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/6.2.0 CPython/3.9.25
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Security for ssp4onnx 1.0.4
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