This directory contains examples for BERT PTQ/QAT related training. mpirun -np 4 -H localhost:4 \ --allow-run-as-root -bind-to none -map-by slot \ -x NCCL_DEBUG=INFO \ -x LD_LIBRARY_PATH \ -x PATH ...
If you have trouble following the instruction below, feel free to join OSCER weekly zoom help sessions. If you're doing deep learning neural network research, tensorflow need no introduction. It is ...
In this tutorial, we walk through advanced usage of Einops to express complex tensor transformations in a clear, readable, and mathematically precise way. We demonstrate how rearrange, reduce, repeat, ...
If you work with strings in your Python scripts and you're writing obscure logic to process them, then you need to look into regex in Python. It lets you describe patterns instead of writing ...
Abstract: Triangle counting is a fundamental graph algorithm used to identify the number of triangles within a graph. This algorithm can be reformulated into linear algebraic operations, including ...
Abstract: When it comes to medical picture recognition, convolutional neural networks are now the gold standard. The mistake in recreating the CT picture is responsible for the low overall accuracy in ...
We want to hear from you! Share your thoughts in the comments and vote in the poll below — your take might be featured in a future roundup. Google’s Tensor project has been admirable but fraught with ...
The purpose of this project is to make a custom micropython firmware that installs tensorflow lite for micro controllers and allows for experimentation. You do need to be careful to get the proper ...
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