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paddlepaddle--paddle/paddle/cinn/optim/merge_block_utils.h
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// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
//
// Licensed 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.
#pragma once
#include "paddle/cinn/ir/stmt.h"
namespace cinn {
namespace optim {
struct ForTreeNode {
const ir::stmt::For val;
std::vector<ForTreeNode> children;
};
using ForEqualFunc =
std::function<bool(const ForTreeNode&, const ForTreeNode&)>;
/*
* Determines if two blocks of code with nested for-loops have identical loop
* extents and can be merged.
*
* This pass is applicable in scenarios where there are multiple code blocks
* with nested for-loops, and we need to determine if these blocks can be
* consolidated to simplify the code structure.
*
* When applied, this pass will not directly modify the IR but serves as a
* prerequisite check to ensure that loop extents match. If they do, a separate
* merging process can be safely conducted to combine the blocks into a single
* block with shared loop structures.
*
* Performance impact: This pass itself does not directly impact performance but
* enables further optimizations by identifying mergeable loop structures, which
* can reduce code size and potentially improve cache efficiency by
* consolidating similar data processing tasks.
*
* Examples:
*
* Simple identical loops:
* Input IR:
* block(var_B)
* for(i, 0, 10)
* for(j, 0, 10)
* B[i,j] = A[i,j]
* block(var_C)
* for(i, 0, 10)
* for(j, 0, 10)
* C[i,j] = A[i,j]
* Output IR:
* Can be merged since loop extents are identical.
*
* Different loop extents:
* Input IR:
* block(var_B)
* for(i, 0, 10)
* for(j, 0, 10)
* B[i,j] = A[i,j]
* block(var_C)
* for(i, 0, 3)
* for(j, 0, 4)
* C[i,j] = A[i,j]
* Output IR:
* Cannot be merged due to differing loop extents.
*/
bool CanMergeBlocks(const ir::stmt::For first,
const ir::stmt::For second,
const ForEqualFunc& IsEqual);
} // namespace optim
} // namespace cinn