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Tensor Program Optimization with Probabilistic Programs
Experimental results show that MetaSchedule can cover the search space used in the state-of-the-art tensor program optimization frameworks in a modular way.
Efficient Execution of Quantized Deep Learning Models: A Compiler Approach
A deep learning compiler such as Apache TVM can enable the efficient execution of model from various frameworks on various targets.
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