- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Hi,
I tried using one of the argument "--ignore_layer_types".
I used it like --ignore_layer_types Convolution and --ignore_layer_types 'Convolution' and --ignore_layer_types [Convolution] but none of them worked for me. That layer converts to int8. But i want to ignore that and keep fp32 precision for particular layer.
If i am doing something wrong, please correct me.
Thanks,
Puru
Link Copied
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Dear pdewan,
I am checking on this. Thanks for your patience !
Shubha
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Dear pdewan,
Can you kindly attach your model and the command you used ? You can attach it as a *.zip. If you'd rather PM it privately to me, let me know and I will enable you to do that.
Thanks,
Shubha
- Mark as New
- Bookmark
- Subscribe
- Mute
- Subscribe to RSS Feed
- Permalink
- Report Inappropriate Content
Dear pdewan,
We tried --ignore_layer_types on 2019R3 and it works fine.
Here is typical usage:
1) python calibrate.py -c C:\Users\test\Desktop\sample_config\caffe_se_resnext_50.yml --ignore_layer_types "Convolution"
or
2) python calibrate.py -c C:\Users\akuporos\Desktop\sample_config\caffe_se_resnext_50.yml --ignore_layer_types "Convolution" -cfc
Hope it helps,
Shubha
- Subscribe to RSS Feed
- Mark Topic as New
- Mark Topic as Read
- Float this Topic for Current User
- Bookmark
- Subscribe
- Printer Friendly Page