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Posted to commits@tvm.apache.org by GitBox <gi...@apache.org> on 2020/12/09 11:17:19 UTC

[GitHub] [tvm] yongwww edited a comment on pull request #7060: [WIP] Add MLIR Relay Dialect, Translate MLIR HLO to MLIR Relay to Relay

yongwww edited a comment on pull request #7060:
URL: https://github.com/apache/tvm/pull/7060#issuecomment-741706021


   @tqchen Thanks for the comment. 
   
   We chose to go with MLIR/HLO instead of XLA HLO, because HLO operations works on tensors with static shape (dynamic ops like [NMS](https://github.com/tensorflow/tensorflow/issues/42879) are not supported by XLA HLO), this limits op/model coverage. MLIR/HLO is possible to represent dynamism, for example, the mhlo lowered from MLIR/TensorFlow. 
   
   Introducing Relay Dialect does bring some extra effort for adding relay operators, and translation from MLIR/HLO to Relay is pretty similar to translation from MLIR/Relay to Relay. 
   
   Considering several dialects are defined already, like [MLIR/TensorFlow](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir/tensorflow/ir) (NMS is in it now), [MLIR/TFLite](https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/mlir/lite), [MLIR/HLO](https://github.com/tensorflow/mlir-hlo), [MLIR/ONNX](https://github.com/onnx/onnx-mlir/), etc. Having Relay Dialect will make the conversion from other potential MLIR Dialects to Relay(via mlir/relay) easy, writing some mlir passes/patterns will make the conversion between dialects happen under MLIR conversion infra. Besides, folks might translate relay to mlir/relay even though personally I don't think we need do this.
   
   If we believe/bet there are translations from other mlir dialects to relay in the future, I think having relay dialect is not a bad thing. I am okay to go with mlir/hlo to relay directly. Please let me know what you guys think. 
   
   cc: @yangjunpro @jroesch @yidawang 


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