As per my understanding, both TVM and MLIR are used as compiler infrastructure for deep learning neural networks. Is my understanding correct?.
And Which would be better if we are building a compiler for custom hardware that runs deep learning inferences?
I found this discussion helpful: https://discuss.tvm.apache.org/t/google-lasted-work-mlir-primer/1721