shairoz-deci
shairoz-deci
@poormag @tbbjymm21 were you able to resolve this issue?
Can you please share (or merge) the fix for this issue?
As far as I understand new submission for v2.0 are to use the r2.0 branch. Would the fix be merged there as well
@nvpohanh thank you for the quick response. I am using the the latest r2.0 branch, running inside the docker of course. The exact execution and error: ``` shai.rozenberg@mlperf-inference-bert-shai:/workspace$ python3 run.py...
@LukeIreland1 We intend to submit all our models in onnx, quantized to INT8. As such they will lose accuracy from the corresponding "pytorch" used to export them. Can you explain...
thanks @LukeIreland1 I copied the tokenization.py as you mentioned and the package loading part seems to be working. However, the test now seems to be stuck on "Running LoadGen test..."...
with a small --max_examples the onnxruntime does work. Thanks @LukeIreland1 should anything else regarding this comes up I will open a new issue.
@rootonchair Thank you for your reply, I did use the original DCN and I 0 getting the above error on running ./make.sh
thank you for your reply @zwjyyc I've implemented the squad training based on the example you mentioned, can perhaps verify that the training of squad was done similarly to the...
@XiaoqiJiao Regarding the squad_v2 dataset, can you elaborate how the augmentation was done? were both context and questions augmented? did you filter out inputs where the question no longer appears...