merrymercy commented on a change in pull request #6103: URL: https://github.com/apache/incubator-tvm/pull/6103#discussion_r459132211
########## File path: include/tvm/auto_scheduler/compute_dag.h ########## @@ -0,0 +1,237 @@ +/* + * 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. + */ + +/*! + * \file tvm/auto_scheduler/compute_dag.h + * \brief The auto-scheduler's computational graph and related program analyses. + * + * We convert a compute declaration described by `tvm.compute` (could be a single operator or a + * subgraph) to a ComputeDAG. It keeps the input/output tensors of the compute declaration, + * a list of all operations in the DAG as well as static analysis results for the DAG (e.g. the + * total float operation count, consumer/producer relations of each operation stage, whether an + * operation stage should be tiled/compute inlined ...). These analyses can help the search policy + * to make decisions during search process. + * ComputeDAG is also responsible for the interaction between TVM Auto-scheduler `LoopState` and + * TVM schedule (e.g. applying the `LoopState` transform steps to TVM schedule, providing + * `LoopState` with extra information got from TVM schedule ...). + */ + +#ifndef TVM_AUTO_SCHEDULER_COMPUTE_DAG_H_ +#define TVM_AUTO_SCHEDULER_COMPUTE_DAG_H_ + +#include <tvm/auto_scheduler/loop_state.h> +#include <tvm/te/schedule.h> + +#include <unordered_map> +#include <unordered_set> +#include <utility> +#include <vector> + +namespace tvm { +namespace auto_scheduler { + +/*! \brief Static analysis result for a ComputeDAG */ +class AccessAnalyzerNode : public Object { + public: + template <class T> + using OperationMap = std::unordered_map<te::Operation, T, ObjectHash, ObjectEqual>; + + /*! \brief Map an operation to all operations it reads from. + * For each operation pair, use a two-dimentional array to multiple multi-dimentional accesses*/ + OperationMap<OperationMap<std::vector<std::vector<PrimExpr>>>> read_from; + /*! \brief Map an operation to all operations it is read by. + * For each operation pair, use a two-dimentional array to multiple multi-dimentional accesses*/ + OperationMap<OperationMap<std::vector<std::vector<PrimExpr>>>> read_by; + /*! \brief Store the number of common outer iterators for operation pairs that have + * read-write relations. */ + OperationMap<OperationMap<int>> num_common_outer_iterators; + /*! \brief Store whether the operation is injective */ + OperationMap<bool> is_injective; + /*! \brief Store whether the operation is strictly-inlineable */ + OperationMap<bool> is_strict_inlineable; + /*! \brief Store whether the operation needs multi-level tiling */ + OperationMap<bool> needs_multi_level_tiling; + /*! \brief Store whether the operation is an output operation */ + OperationMap<bool> is_output; + /*! \brief Store the topological order of operations */ + Array<te::Operation> ops_topo_order; Review comment: They are the same ---------------------------------------------------------------- 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. For queries about this service, please contact Infrastructure at: us...@infra.apache.org
