Pytorch-Tester

Requirements

Convert Pytorch model to Onnx model and add Padding Operator at the beginning.

Test image superresolution using onnxruntime inference engine.

Name		Name	Last commit message	Last commit date
Latest commit History 10 Commits
.gitignore		.gitignore
FH3_1_540p.png		FH3_1_540p.png
FH3_1_cvsr.png		FH3_1_cvsr.png
LICENSE		LICENSE
NeuralNetworks.ipynb		NeuralNetworks.ipynb
README.md		README.md
autograd.ipynb		autograd.ipynb
gaussian_blur.ipynb		gaussian_blur.ipynb
gradientloss.ipynb		gradientloss.ipynb
onnxruntime_sr.ipynb		onnxruntime_sr.ipynb
pixelshuffle.ipynb		pixelshuffle.ipynb
profiler.ipynb		profiler.ipynb
tensor.ipynb		tensor.ipynb
tensorboard.ipynb		tensorboard.ipynb
to-onnx.ipynb		to-onnx.ipynb
to_onnx_ex.ipynb		to_onnx_ex.ipynb
transposedconv2d.ipynb		transposedconv2d.ipynb
wf_scale2x.pth		wf_scale2x.pth