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) |
|---|---|---|
 |
 |
 |
1 maintainer
Metadata
1 maintainer
Release files for ssp4onnx 1.0.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| ssp4onnx-1.0.3.tar.gz | 7.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ssp4onnx-1.0.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 16.5 kB
Release files / ssp4onnx-1.0.3.tar.gz
| Download URL | ssp4onnx-1.0.3.tar.gz |
|---|---|
| Size | 7.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
55c5dc2f5dfbed40579679b5c32060a8efdc69da7bd1c1d4158f1356f24d7fa6
|
|
BLAKE2b-256 checksum How to use checksums |
c9a7e849bc23e2e7504e47b194e1d7c52b524466be8f51bcf9867d428df3324b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
Release files / ssp4onnx-1.0.3-py3-none-any.whl
| Download URL | ssp4onnx-1.0.3-py3-none-any.whl |
|---|---|
| Size | 8.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
bb69f1defb99bea87c688888a1d224dc542bfacd3142e3a8458cee02be89cba8
|
|
BLAKE2b-256 checksum How to use checksums |
357b8f83f04859b7680d7f4f4d8274e5b5aeb5f36502607c2279e091579dbc39
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.2.0 CPython/3.9.25
|
