We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
This layer is used in many early DNNs such as AlexNet, GoogLeNet, Inception, etc. so we need to implement it to support these models through ONNX.
For now, we have two workarounds to be made:
Info:
The text was updated successfully, but these errors were encountered:
I think it is supported by cuDNN: https://docs.nvidia.com/deeplearning/cudnn/api/index.html#cudnnSetLRNDescriptor
Sorry, something went wrong.
Added Bypass layer to skip the LRN layer (issue #310)
d8b8a4e
salvacarrion
No branches or pull requests
This layer is used in many early DNNs such as AlexNet, GoogLeNet, Inception, etc. so we need to implement it to support these models through ONNX.
For now, we have two workarounds to be made:
Info:
The text was updated successfully, but these errors were encountered: