[英]How TVM is different from MLIR?
As per my understanding, both TVM and MLIR are used as compiler infrastructure for deep learning neural networks.据我了解,TVM 和 MLIR 都用作深度学习神经网络的编译器基础设施。 Is my understanding correct?.我的理解正确吗?
And Which would be better if we are building a compiler for custom hardware that runs deep learning inferences?如果我们正在为运行深度学习推理的定制硬件构建编译器,哪个会更好?
I found this discussion helpful: https://discuss.tvm.apache.org/t/google-lasted-work-mlir-primer/1721我发现这个讨论很有帮助: https://discuss.tvm.apache.org/t/google-lasted-work-mlir-primer/1721
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