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
Hello,
I can confirm that I can build CHaiDNN and execute the build-in examples.
BUT
When I try to execute the BVLC AlexNet I get an error:
[EP030] Layer conv1 is not found in the caffemodel file.
I'm using the files from: https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
I'm successfully quantizing at 6 bits using the following command:
python XportDNN.pyc \ --quant_type "Xilinx" --deploy_model /mnt/terabyte/pmousoul_data/Repos/CHaiDNN/tools/tools/deploy.prototxt \ --weights /mnt/terabyte/pmousoul_data/Repos/CHaiDNN/tools/tools/AlexNetNoLRN_6Bit_CHaiDNN.caffemodel \ --quantized_deploy_model /mnt/terabyte/pmousoul_data/Repos/CHaiDNN/tools/tools/AlexNet_6Bit_deploy_CHaiDNN.prototxt \ --calibration_directory /mnt/terabyte/datasets/ImageNet/val/ \ --calibration_size 32 \ --bitwidths 6,6,6 \ --dims 3,227,227 \ --transpose 2,0,1 \ --channel_swap 2,1,0 \ --raw_scale 255.0
Any idea of what is going wrong??
CHaiDNN is not useful at all if it cannot execute networks other than the examples..
Cheers, Panos
The text was updated successfully, but these errors were encountered:
No branches or pull requests
Hello,
I can confirm that I can build CHaiDNN and execute the build-in examples.
BUT
When I try to execute the BVLC AlexNet I get an error:
I'm using the files from:
https://github.com/BVLC/caffe/tree/master/models/bvlc_alexnet
I'm successfully quantizing at 6 bits using the following command:
Any idea of what is going wrong??
CHaiDNN is not useful at all if it cannot execute networks other than the examples..
Cheers,
Panos
The text was updated successfully, but these errors were encountered: