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Optimize tensor program fast with Felix, a gradient descent autotuner.

License: Apache License 2.0

CMake 0.70% Makefile 0.22% Java 0.63% Shell 0.75% C++ 39.23% RenderScript 0.01% Python 54.82% C 1.12% Objective-C 0.08% Objective-C++ 0.28% Rust 1.31% Batchfile 0.01% Go 0.35% Cython 0.09% Cuda 0.05% HTML 0.01% JavaScript 0.05% TypeScript 0.30%

felix's People

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felix's Issues

Dataset for Cost Model

Thanks for the release of the code! I'm trying to reproduce your work on A100. According to the paper, you selected 500 subgraphs from the original TenSet. But I can't find the dataset, do I miss anything? Besides, could you provide the detailed training command line args for train_cost_model.py?

problem for cost model

Thanks for your code! I'm trying to reproduce your work on A100 with Resnet50. I have some doubts, 1.pre-trained weights, could you provide your pre-trained weights on the tenset GPU data set or the script for processing training? 2. For tuning configuration, is it recommended to use (8, 120) in the paper or (32, 64) in the code?

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