chainer / Onnx Chainer
Licence: mit
Add-on package for ONNX format support in Chainer
Stars: ✭ 83
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ONNX-Chainer
All code and functionalities of ONNX-Chainer have been merged into Chainer v7rc1 and this repository supports only bug fixes.
This is an add-on package for ONNX support by Chainer.
Tested environment
Installation
pip install onnx-chainer
Run Test
1. Install test modules
$ pip install onnx-chainer[test-cpu]
Or, on GPU environment
$ pip install cupy # or cupy-cudaXX is useful
$ pip install onnx-chainer[test-gpu]
2. Run tests
$ pytest -m "not gpu"
Or, on GPU environment
$ pytest
Quick Start
First, install ChainerCV to get the pre-trained models.
import numpy as np
import chainer
import chainercv.links as C
import onnx_chainer
model = C.VGG16(pretrained_model='imagenet')
# Pseudo input
x = np.zeros((1, 3, 224, 224), dtype=np.float32)
onnx_chainer.export(model, x, filename='vgg16.onnx')
Supported Functions
Contribution
Any contribution to ONNX-Chainer is welcome!
- Python codes follow Chainer Coding Guidelines
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