yashbhalgat / qualcommai-micronet-submission-mixnet Goto Github PK
View Code? Open in Web Editor NEW3rd place solution for NeurIPS 2019 MicroNet challenge
License: MIT License
3rd place solution for NeurIPS 2019 MicroNet challenge
License: MIT License
Hello! Thanks so much for your entry! We've successfully evaluated your checkpoint and the quality checks out! And we'd like to say that we greatly appreciate the organization and quality of the code.
One question on your quantization scoring: In your report you say that you count the additions and multiplications separately, but in flop_counter.py it looks like you sum them together and scale both by the reduced precision factor:
Linear/Conv Counting:
https://github.com/yashbhalgat/QualcommAI-MicroNet-submission-MixNet/blob/master/lsq_quantizer/flops_counter.py#L286
Quantization Scaling:
Am I understanding this correct? It looks like you're properly rounding the weights and activations prior to each linear operation during evaluation, but the additions in these kernels should be counted as FP32 unless I'm missing something.
Trevor
A declarative, efficient, and flexible JavaScript library for building user interfaces.
๐ Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ๐๐๐
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google โค๏ธ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.