In other news, @ezyang has released a benchmark for reasoning on shape computation: GitHub - ezyang/SMT-LIB-benchmarks-pytorch-shapes: SMT-LIB benchmarks for shape computations from deep learning models in PyTorch If you work on SMT solvers or like symbolic reasoning systems, check it out! It offers an easy way to test out new ideas about how to symbolically reason over shape compute. We still have a number of infinite loops in Sympy, although this week we are now just suppressing all stack overflows induced by Sympy.
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