junrushao1994 commented on a change in pull request #5: URL: https://github.com/apache/tvm-rfcs/pull/5#discussion_r668227109
########## File path: rfcs/0001-meta-schedule-autotensorir.md ########## @@ -0,0 +1,444 @@ +<!--- Licensed to the Apache Software Foundation (ASF) under one --> +<!--- or more contributor license agreements. See the NOTICE file --> +<!--- distributed with this work for additional information --> +<!--- regarding copyright ownership. The ASF licenses this file --> +<!--- to you under the Apache License, Version 2.0 (the --> +<!--- "License"); you may not use this file except in compliance --> +<!--- with the License. You may obtain a copy of the License at --> + +<!--- http://www.apache.org/licenses/LICENSE-2.0 --> + +<!--- Unless required by applicable law or agreed to in writing, --> +<!--- software distributed under the License is distributed on an --> +<!--- "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY --> +<!--- KIND, either express or implied. See the License for the --> +<!--- specific language governing permissions and limitations --> +<!--- under the License. --> + +* Feature Name: Meta Schedule (Formerly AutoTIR) +* Start Date: 2021-05-28 +* RFC PR: TBD (apache/tvm-rfcs#0000) +* GitHub Issue: TBD (apache/tvm-rfcs#0000) + +## 1. Summary + +This proposal introduces Meta Schedule: a probabilistic scheduling DSL on TIR that unifies the +approaches of AutoTVM and Auto Scheduler (Ansor). Meta schedule provides a pragmatic way to define +the space of automatic tuning, extensibility in terms of all possible TIR schedule primitives like +tensorization and loop partitioning, and customizability on every layer of the automation system. + +Meta Schedule is our 3rd generation automatic scheduling system. + +## 2. Motivation + +**Scheduling and design space.** In TVM TensorIR, optimization of a TensorIR program is done via a +sequence of transformations. For example, we reorder loops for better locality and we tensorize for +specific hardware intrinsics. The process of invoking such a set of pre-defined transformations is +called "**scheduling**", and each transformation is called a "**schedule primitive**". These +primitives form a domain-specific language (DSL) describing the transformation of TensorIR programs. +**Design space** is the set of all possible schedulings with respect to a TensorIR program. + +**Problems with the current scheduling system.** Currently we have 3 sets of scheduling APIs: Review comment: Yeah I was a bit uncertain if we need a subheading because it is a single paragraph when drafting this RFC, but it seems all of us prefer it to be subheading so will do. Thanks! -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected]
