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GoldenEye is a functional simulator with fault injection capabilities for common and emerging numerical formats, implemented for the PyTorch deep learning framework.

Home Page: https://goldeneyedocs.readthedocs.io/en/stable/

License: MIT License

Python 87.00% Shell 8.24% C++ 4.60% Dockerfile 0.16%
accuracy deep-learning floating-point goldeneye number-format pytorch quantization reliability resilience adaptive-float

goldeneye's Issues

possible bug in block fp implementation

mant_adj = mant / power_exp_diff

After shifting the mantissa bits in the above line, the values might become < 1. So the exponents after reconstruction are no longer the same (one can check this after extracting the exponents after line 363 of the reconstructed tensor).

You probably need mant_adj[mant_adj < 1.0] = 1.0 after the above line.

No valid requirements.txt

As stated in the title. After I clone the repo and I found that there is only requirements.txt under pytorchfi/. After I install the dependencies in requirements.txt and installed qtorch 0.3.0. The test program give me a huge number of Error messages. My environment is ubuntu 20.04 with a plane conda environment for this repo. The python version is 3.6. Thank you!

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