YuchenJin commented on code in PR #89:
URL: https://github.com/apache/tvm-rfcs/pull/89#discussion_r949758752


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rfcs/0089-relax-upstreaming.md:
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+- Feature Name: Relax Upstreaming
+- Start Date: 2022-08-17
+- RFC PR: [apache/tvm-rfcs#0089](https://github.com/apache/tvm-rfcs/pull/0089)
+- GitHub Issue: [apache/tvm#0000](https://github.com/apache/tvm/issues/0000)
+- Co-Authors: [@denise-k](https://github.com/denise-k), 
[@jwfromm](https://github.com/jwfromm)
+
+# 1. **Summary**
+
+This RFC proposes to upstream the core foundation of Relax (Relay Next). Relax 
is a new graph-level IR that enables new capabilities to address the [critical 
needs](https://discuss.tvm.apache.org/t/establish-tvm-unity-connection-a-technical-strategy/13344)
 identified by the TVM community over the years of using and developing deep 
learning compilers.
+
+# 2. **Motivation and goals**
+
+Relax is an effort within [TVM 
Unity](https://tvm.apache.org/2021/12/15/tvm-unity) that aims to evolve the 
graph-level IR to maximize **expressibility, performance, and portability** 
across today and tomorrow’s workloads. Relax has three key goals motivated by 
the TVM community’s needs, and lessons the community has learned in ML 
acceleration through years of using and developing TVM:

Review Comment:
   Performance here means:
   
   - **Compilation performance:** defined as the effectiveness of Relax’s 
optimization passes in transforming and optimizing Relax code.
   - **Runtime performance:** defined as the runtime latency for various Relax 
workloads, whether they are subgraphs or end-to-end models.
   
   It can be found in the Relax roadmap rfc: 
https://github.com/apache/tvm-rfcs/pull/69. Maybe I should attach a link to it 
in this RFC.



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