forked from OSchip/llvm-project
635 lines
22 KiB
C++
635 lines
22 KiB
C++
//===- IslAst.cpp - isl code generator interface --------------------------===//
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//
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// The LLVM Compiler Infrastructure
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//
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// This file is distributed under the University of Illinois Open Source
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// License. See LICENSE.TXT for details.
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//
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//===----------------------------------------------------------------------===//
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//
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// The isl code generator interface takes a Scop and generates an isl_ast. This
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// ist_ast can either be returned directly or it can be pretty printed to
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// stdout.
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//
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// A typical isl_ast output looks like this:
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//
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// for (c2 = max(0, ceild(n + m, 2); c2 <= min(511, floord(5 * n, 3)); c2++) {
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// bb2(c2);
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// }
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//
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// An in-depth discussion of our AST generation approach can be found in:
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//
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// Polyhedral AST generation is more than scanning polyhedra
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// Tobias Grosser, Sven Verdoolaege, Albert Cohen
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// ACM Transations on Programming Languages and Systems (TOPLAS),
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// 37(4), July 2015
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// http://www.grosser.es/#pub-polyhedral-AST-generation
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//
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//===----------------------------------------------------------------------===//
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#include "polly/CodeGen/IslAst.h"
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#include "polly/CodeGen/CodeGeneration.h"
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#include "polly/DependenceInfo.h"
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#include "polly/LinkAllPasses.h"
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#include "polly/Options.h"
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#include "polly/ScopInfo.h"
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#include "polly/Support/GICHelper.h"
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#include "llvm/Analysis/RegionInfo.h"
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#include "llvm/Support/Debug.h"
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#include "isl/aff.h"
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#include "isl/ast_build.h"
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#include "isl/list.h"
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#include "isl/map.h"
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#include "isl/set.h"
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#include "isl/union_map.h"
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#define DEBUG_TYPE "polly-ast"
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using namespace llvm;
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using namespace polly;
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using IslAstUserPayload = IslAstInfo::IslAstUserPayload;
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static cl::opt<bool>
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PollyParallel("polly-parallel",
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cl::desc("Generate thread parallel code (isl codegen only)"),
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cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory));
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static cl::opt<bool> PollyParallelForce(
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"polly-parallel-force",
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cl::desc(
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"Force generation of thread parallel code ignoring any cost model"),
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cl::init(false), cl::ZeroOrMore, cl::cat(PollyCategory));
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static cl::opt<bool> UseContext("polly-ast-use-context",
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cl::desc("Use context"), cl::Hidden,
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cl::init(false), cl::ZeroOrMore,
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cl::cat(PollyCategory));
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static cl::opt<bool> DetectParallel("polly-ast-detect-parallel",
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cl::desc("Detect parallelism"), cl::Hidden,
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cl::init(false), cl::ZeroOrMore,
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cl::cat(PollyCategory));
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namespace polly {
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/// @brief Temporary information used when building the ast.
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struct AstBuildUserInfo {
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/// @brief Construct and initialize the helper struct for AST creation.
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AstBuildUserInfo()
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: Deps(nullptr), InParallelFor(false), LastForNodeId(nullptr) {}
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/// @brief The dependence information used for the parallelism check.
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const Dependences *Deps;
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/// @brief Flag to indicate that we are inside a parallel for node.
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bool InParallelFor;
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/// @brief The last iterator id created for the current SCoP.
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isl_id *LastForNodeId;
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};
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} // namespace polly
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/// @brief Free an IslAstUserPayload object pointed to by @p Ptr
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static void freeIslAstUserPayload(void *Ptr) {
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delete ((IslAstInfo::IslAstUserPayload *)Ptr);
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}
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IslAstInfo::IslAstUserPayload::~IslAstUserPayload() {
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isl_ast_build_free(Build);
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isl_pw_aff_free(MinimalDependenceDistance);
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}
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/// @brief Print a string @p str in a single line using @p Printer.
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static isl_printer *printLine(__isl_take isl_printer *Printer,
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const std::string &str,
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__isl_keep isl_pw_aff *PWA = nullptr) {
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Printer = isl_printer_start_line(Printer);
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Printer = isl_printer_print_str(Printer, str.c_str());
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if (PWA)
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Printer = isl_printer_print_pw_aff(Printer, PWA);
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return isl_printer_end_line(Printer);
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}
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/// @brief Return all broken reductions as a string of clauses (OpenMP style).
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static const std::string getBrokenReductionsStr(__isl_keep isl_ast_node *Node) {
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IslAstInfo::MemoryAccessSet *BrokenReductions;
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std::string str;
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BrokenReductions = IslAstInfo::getBrokenReductions(Node);
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if (!BrokenReductions || BrokenReductions->empty())
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return "";
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// Map each type of reduction to a comma separated list of the base addresses.
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std::map<MemoryAccess::ReductionType, std::string> Clauses;
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for (MemoryAccess *MA : *BrokenReductions)
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if (MA->isWrite())
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Clauses[MA->getReductionType()] +=
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", " + MA->getBaseAddr()->getName().str();
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// Now print the reductions sorted by type. Each type will cause a clause
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// like: reduction (+ : sum0, sum1, sum2)
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for (const auto &ReductionClause : Clauses) {
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str += " reduction (";
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str += MemoryAccess::getReductionOperatorStr(ReductionClause.first);
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// Remove the first two symbols (", ") to make the output look pretty.
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str += " : " + ReductionClause.second.substr(2) + ")";
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}
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return str;
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}
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/// @brief Callback executed for each for node in the ast in order to print it.
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static isl_printer *cbPrintFor(__isl_take isl_printer *Printer,
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__isl_take isl_ast_print_options *Options,
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__isl_keep isl_ast_node *Node, void *) {
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isl_pw_aff *DD = IslAstInfo::getMinimalDependenceDistance(Node);
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const std::string BrokenReductionsStr = getBrokenReductionsStr(Node);
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const std::string KnownParallelStr = "#pragma known-parallel";
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const std::string DepDisPragmaStr = "#pragma minimal dependence distance: ";
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const std::string SimdPragmaStr = "#pragma simd";
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const std::string OmpPragmaStr = "#pragma omp parallel for";
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if (DD)
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Printer = printLine(Printer, DepDisPragmaStr, DD);
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if (IslAstInfo::isInnermostParallel(Node))
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Printer = printLine(Printer, SimdPragmaStr + BrokenReductionsStr);
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if (IslAstInfo::isExecutedInParallel(Node))
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Printer = printLine(Printer, OmpPragmaStr);
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else if (IslAstInfo::isOutermostParallel(Node))
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Printer = printLine(Printer, KnownParallelStr + BrokenReductionsStr);
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isl_pw_aff_free(DD);
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return isl_ast_node_for_print(Node, Printer, Options);
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}
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/// @brief Check if the current scheduling dimension is parallel
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///
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/// In case the dimension is parallel we also check if any reduction
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/// dependences is broken when we exploit this parallelism. If so,
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/// @p IsReductionParallel will be set to true. The reduction dependences we use
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/// to check are actually the union of the transitive closure of the initial
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/// reduction dependences together with their reveresal. Even though these
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/// dependences connect all iterations with each other (thus they are cyclic)
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/// we can perform the parallelism check as we are only interested in a zero
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/// (or non-zero) dependence distance on the dimension in question.
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static bool astScheduleDimIsParallel(__isl_keep isl_ast_build *Build,
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const Dependences *D,
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IslAstUserPayload *NodeInfo) {
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if (!D->hasValidDependences())
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return false;
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isl_union_map *Schedule = isl_ast_build_get_schedule(Build);
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isl_union_map *Deps = D->getDependences(
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Dependences::TYPE_RAW | Dependences::TYPE_WAW | Dependences::TYPE_WAR);
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if (!D->isParallel(Schedule, Deps, &NodeInfo->MinimalDependenceDistance) &&
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!isl_union_map_free(Schedule))
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return false;
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isl_union_map *RedDeps = D->getDependences(Dependences::TYPE_TC_RED);
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if (!D->isParallel(Schedule, RedDeps))
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NodeInfo->IsReductionParallel = true;
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if (!NodeInfo->IsReductionParallel && !isl_union_map_free(Schedule))
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return true;
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// Annotate reduction parallel nodes with the memory accesses which caused the
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// reduction dependences parallel execution of the node conflicts with.
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for (const auto &MaRedPair : D->getReductionDependences()) {
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if (!MaRedPair.second)
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continue;
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RedDeps = isl_union_map_from_map(isl_map_copy(MaRedPair.second));
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if (!D->isParallel(Schedule, RedDeps))
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NodeInfo->BrokenReductions.insert(MaRedPair.first);
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}
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isl_union_map_free(Schedule);
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return true;
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}
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// This method is executed before the construction of a for node. It creates
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// an isl_id that is used to annotate the subsequently generated ast for nodes.
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//
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// In this function we also run the following analyses:
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//
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// - Detection of openmp parallel loops
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//
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static __isl_give isl_id *astBuildBeforeFor(__isl_keep isl_ast_build *Build,
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void *User) {
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AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User;
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IslAstUserPayload *Payload = new IslAstUserPayload();
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isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload);
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Id = isl_id_set_free_user(Id, freeIslAstUserPayload);
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BuildInfo->LastForNodeId = Id;
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// Test for parallelism only if we are not already inside a parallel loop
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if (!BuildInfo->InParallelFor)
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BuildInfo->InParallelFor = Payload->IsOutermostParallel =
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astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload);
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return Id;
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}
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// This method is executed after the construction of a for node.
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//
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// It performs the following actions:
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//
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// - Reset the 'InParallelFor' flag, as soon as we leave a for node,
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// that is marked as openmp parallel.
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//
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static __isl_give isl_ast_node *
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astBuildAfterFor(__isl_take isl_ast_node *Node, __isl_keep isl_ast_build *Build,
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void *User) {
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isl_id *Id = isl_ast_node_get_annotation(Node);
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assert(Id && "Post order visit assumes annotated for nodes");
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IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id);
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assert(Payload && "Post order visit assumes annotated for nodes");
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AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User;
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assert(!Payload->Build && "Build environment already set");
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Payload->Build = isl_ast_build_copy(Build);
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Payload->IsInnermost = (Id == BuildInfo->LastForNodeId);
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// Innermost loops that are surrounded by parallel loops have not yet been
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// tested for parallelism. Test them here to ensure we check all innermost
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// loops for parallelism.
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if (Payload->IsInnermost && BuildInfo->InParallelFor) {
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if (Payload->IsOutermostParallel) {
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Payload->IsInnermostParallel = true;
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} else {
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if (PollyVectorizerChoice == VECTORIZER_NONE)
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Payload->IsInnermostParallel =
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astScheduleDimIsParallel(Build, BuildInfo->Deps, Payload);
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}
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}
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if (Payload->IsOutermostParallel)
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BuildInfo->InParallelFor = false;
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isl_id_free(Id);
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return Node;
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}
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static isl_stat astBuildBeforeMark(__isl_keep isl_id *MarkId,
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__isl_keep isl_ast_build *Build,
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void *User) {
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if (!MarkId)
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return isl_stat_error;
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AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User;
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if (!strcmp(isl_id_get_name(MarkId), "SIMD"))
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BuildInfo->InParallelFor = true;
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return isl_stat_ok;
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}
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static __isl_give isl_ast_node *
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astBuildAfterMark(__isl_take isl_ast_node *Node,
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__isl_keep isl_ast_build *Build, void *User) {
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assert(isl_ast_node_get_type(Node) == isl_ast_node_mark);
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AstBuildUserInfo *BuildInfo = (AstBuildUserInfo *)User;
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auto *Id = isl_ast_node_mark_get_id(Node);
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if (!strcmp(isl_id_get_name(Id), "SIMD"))
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BuildInfo->InParallelFor = false;
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isl_id_free(Id);
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return Node;
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}
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static __isl_give isl_ast_node *AtEachDomain(__isl_take isl_ast_node *Node,
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__isl_keep isl_ast_build *Build,
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void *User) {
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assert(!isl_ast_node_get_annotation(Node) && "Node already annotated");
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IslAstUserPayload *Payload = new IslAstUserPayload();
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isl_id *Id = isl_id_alloc(isl_ast_build_get_ctx(Build), "", Payload);
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Id = isl_id_set_free_user(Id, freeIslAstUserPayload);
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Payload->Build = isl_ast_build_copy(Build);
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return isl_ast_node_set_annotation(Node, Id);
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}
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// Build alias check condition given a pair of minimal/maximal access.
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static __isl_give isl_ast_expr *
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buildCondition(__isl_keep isl_ast_build *Build, const Scop::MinMaxAccessTy *It0,
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const Scop::MinMaxAccessTy *It1) {
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isl_ast_expr *NonAliasGroup, *MinExpr, *MaxExpr;
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MinExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff(
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Build, isl_pw_multi_aff_copy(It0->first)));
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MaxExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff(
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Build, isl_pw_multi_aff_copy(It1->second)));
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NonAliasGroup = isl_ast_expr_le(MaxExpr, MinExpr);
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MinExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff(
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Build, isl_pw_multi_aff_copy(It1->first)));
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MaxExpr = isl_ast_expr_address_of(isl_ast_build_access_from_pw_multi_aff(
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Build, isl_pw_multi_aff_copy(It0->second)));
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NonAliasGroup =
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isl_ast_expr_or(NonAliasGroup, isl_ast_expr_le(MaxExpr, MinExpr));
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return NonAliasGroup;
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}
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__isl_give isl_ast_expr *
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IslAst::buildRunCondition(Scop *S, __isl_keep isl_ast_build *Build) {
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isl_ast_expr *RunCondition;
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// The conditions that need to be checked at run-time for this scop are
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// available as an isl_set in the runtime check context from which we can
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// directly derive a run-time condition.
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auto *PosCond = isl_ast_build_expr_from_set(Build, S->getAssumedContext());
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if (S->hasTrivialInvalidContext()) {
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RunCondition = PosCond;
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} else {
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auto *ZeroV = isl_val_zero(isl_ast_build_get_ctx(Build));
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auto *NegCond = isl_ast_build_expr_from_set(Build, S->getInvalidContext());
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auto *NotNegCond = isl_ast_expr_eq(isl_ast_expr_from_val(ZeroV), NegCond);
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RunCondition = isl_ast_expr_and(PosCond, NotNegCond);
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}
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// Create the alias checks from the minimal/maximal accesses in each alias
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// group which consists of read only and non read only (read write) accesses.
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// This operation is by construction quadratic in the read-write pointers and
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// linear int the read only pointers in each alias group.
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for (const Scop::MinMaxVectorPairTy &MinMaxAccessPair : S->getAliasGroups()) {
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auto &MinMaxReadWrite = MinMaxAccessPair.first;
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auto &MinMaxReadOnly = MinMaxAccessPair.second;
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auto RWAccEnd = MinMaxReadWrite.end();
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for (auto RWAccIt0 = MinMaxReadWrite.begin(); RWAccIt0 != RWAccEnd;
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++RWAccIt0) {
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for (auto RWAccIt1 = RWAccIt0 + 1; RWAccIt1 != RWAccEnd; ++RWAccIt1)
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RunCondition = isl_ast_expr_and(
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RunCondition, buildCondition(Build, RWAccIt0, RWAccIt1));
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for (const Scop::MinMaxAccessTy &ROAccIt : MinMaxReadOnly)
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RunCondition = isl_ast_expr_and(
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RunCondition, buildCondition(Build, RWAccIt0, &ROAccIt));
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}
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}
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return RunCondition;
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}
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/// @brief Simple cost analysis for a given SCoP
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///
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/// TODO: Improve this analysis and extract it to make it usable in other
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/// places too.
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/// In order to improve the cost model we could either keep track of
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/// performed optimizations (e.g., tiling) or compute properties on the
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/// original as well as optimized SCoP (e.g., #stride-one-accesses).
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static bool benefitsFromPolly(Scop *Scop, bool PerformParallelTest) {
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if (PollyProcessUnprofitable)
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return true;
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// Check if nothing interesting happened.
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if (!PerformParallelTest && !Scop->isOptimized() &&
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Scop->getAliasGroups().empty())
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return false;
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// The default assumption is that Polly improves the code.
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return true;
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}
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IslAst::IslAst(Scop *Scop)
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: S(Scop), Root(nullptr), RunCondition(nullptr),
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Ctx(Scop->getSharedIslCtx()) {}
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void IslAst::init(const Dependences &D) {
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bool PerformParallelTest = PollyParallel || DetectParallel ||
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PollyVectorizerChoice != VECTORIZER_NONE;
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// Skip AST and code generation if there was no benefit achieved.
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if (!benefitsFromPolly(S, PerformParallelTest))
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return;
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isl_ctx *Ctx = S->getIslCtx();
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isl_options_set_ast_build_atomic_upper_bound(Ctx, true);
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isl_options_set_ast_build_detect_min_max(Ctx, true);
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isl_ast_build *Build;
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AstBuildUserInfo BuildInfo;
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if (UseContext)
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Build = isl_ast_build_from_context(S->getContext());
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else
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Build = isl_ast_build_from_context(isl_set_universe(S->getParamSpace()));
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Build = isl_ast_build_set_at_each_domain(Build, AtEachDomain, nullptr);
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if (PerformParallelTest) {
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BuildInfo.Deps = &D;
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BuildInfo.InParallelFor = 0;
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Build = isl_ast_build_set_before_each_for(Build, &astBuildBeforeFor,
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&BuildInfo);
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Build =
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isl_ast_build_set_after_each_for(Build, &astBuildAfterFor, &BuildInfo);
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Build = isl_ast_build_set_before_each_mark(Build, &astBuildBeforeMark,
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&BuildInfo);
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Build = isl_ast_build_set_after_each_mark(Build, &astBuildAfterMark,
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&BuildInfo);
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}
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RunCondition = buildRunCondition(S, Build);
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Root = isl_ast_build_node_from_schedule(Build, S->getScheduleTree());
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isl_ast_build_free(Build);
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}
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IslAst *IslAst::create(Scop *Scop, const Dependences &D) {
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auto Ast = new IslAst(Scop);
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Ast->init(D);
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return Ast;
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}
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|
|
|
IslAst::~IslAst() {
|
|
isl_ast_node_free(Root);
|
|
isl_ast_expr_free(RunCondition);
|
|
}
|
|
|
|
__isl_give isl_ast_node *IslAst::getAst() { return isl_ast_node_copy(Root); }
|
|
__isl_give isl_ast_expr *IslAst::getRunCondition() {
|
|
return isl_ast_expr_copy(RunCondition);
|
|
}
|
|
|
|
void IslAstInfo::releaseMemory() {
|
|
if (Ast) {
|
|
delete Ast;
|
|
Ast = nullptr;
|
|
}
|
|
}
|
|
|
|
bool IslAstInfo::runOnScop(Scop &Scop) {
|
|
if (Ast)
|
|
delete Ast;
|
|
|
|
S = &Scop;
|
|
|
|
const Dependences &D =
|
|
getAnalysis<DependenceInfo>().getDependences(Dependences::AL_Statement);
|
|
|
|
Ast = IslAst::create(&Scop, D);
|
|
|
|
DEBUG(printScop(dbgs(), Scop));
|
|
return false;
|
|
}
|
|
|
|
__isl_give isl_ast_node *IslAstInfo::getAst() const { return Ast->getAst(); }
|
|
__isl_give isl_ast_expr *IslAstInfo::getRunCondition() const {
|
|
return Ast->getRunCondition();
|
|
}
|
|
|
|
IslAstUserPayload *IslAstInfo::getNodePayload(__isl_keep isl_ast_node *Node) {
|
|
isl_id *Id = isl_ast_node_get_annotation(Node);
|
|
if (!Id)
|
|
return nullptr;
|
|
IslAstUserPayload *Payload = (IslAstUserPayload *)isl_id_get_user(Id);
|
|
isl_id_free(Id);
|
|
return Payload;
|
|
}
|
|
|
|
bool IslAstInfo::isInnermost(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload && Payload->IsInnermost;
|
|
}
|
|
|
|
bool IslAstInfo::isParallel(__isl_keep isl_ast_node *Node) {
|
|
return IslAstInfo::isInnermostParallel(Node) ||
|
|
IslAstInfo::isOutermostParallel(Node);
|
|
}
|
|
|
|
bool IslAstInfo::isInnermostParallel(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload && Payload->IsInnermostParallel;
|
|
}
|
|
|
|
bool IslAstInfo::isOutermostParallel(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload && Payload->IsOutermostParallel;
|
|
}
|
|
|
|
bool IslAstInfo::isReductionParallel(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload && Payload->IsReductionParallel;
|
|
}
|
|
|
|
bool IslAstInfo::isExecutedInParallel(__isl_keep isl_ast_node *Node) {
|
|
|
|
if (!PollyParallel)
|
|
return false;
|
|
|
|
// Do not parallelize innermost loops.
|
|
//
|
|
// Parallelizing innermost loops is often not profitable, especially if
|
|
// they have a low number of iterations.
|
|
//
|
|
// TODO: Decide this based on the number of loop iterations that will be
|
|
// executed. This can possibly require run-time checks, which again
|
|
// raises the question of both run-time check overhead and code size
|
|
// costs.
|
|
if (!PollyParallelForce && isInnermost(Node))
|
|
return false;
|
|
|
|
return isOutermostParallel(Node) && !isReductionParallel(Node);
|
|
}
|
|
|
|
__isl_give isl_union_map *
|
|
IslAstInfo::getSchedule(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload ? isl_ast_build_get_schedule(Payload->Build) : nullptr;
|
|
}
|
|
|
|
__isl_give isl_pw_aff *
|
|
IslAstInfo::getMinimalDependenceDistance(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload ? isl_pw_aff_copy(Payload->MinimalDependenceDistance)
|
|
: nullptr;
|
|
}
|
|
|
|
IslAstInfo::MemoryAccessSet *
|
|
IslAstInfo::getBrokenReductions(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload ? &Payload->BrokenReductions : nullptr;
|
|
}
|
|
|
|
isl_ast_build *IslAstInfo::getBuild(__isl_keep isl_ast_node *Node) {
|
|
IslAstUserPayload *Payload = getNodePayload(Node);
|
|
return Payload ? Payload->Build : nullptr;
|
|
}
|
|
|
|
void IslAstInfo::printScop(raw_ostream &OS, Scop &S) const {
|
|
isl_ast_print_options *Options;
|
|
isl_ast_node *RootNode = getAst();
|
|
Function &F = S.getFunction();
|
|
|
|
OS << ":: isl ast :: " << F.getName() << " :: " << S.getNameStr() << "\n";
|
|
|
|
if (!RootNode) {
|
|
OS << ":: isl ast generation and code generation was skipped!\n\n";
|
|
OS << ":: This is either because no useful optimizations could be applied "
|
|
"(use -polly-process-unprofitable to enforce code generation) or "
|
|
"because earlier passes such as dependence analysis timed out (use "
|
|
"-polly-dependences-computeout=0 to set dependence analysis timeout "
|
|
"to infinity)\n\n";
|
|
return;
|
|
}
|
|
|
|
isl_ast_expr *RunCondition = getRunCondition();
|
|
char *RtCStr, *AstStr;
|
|
|
|
Options = isl_ast_print_options_alloc(S.getIslCtx());
|
|
Options = isl_ast_print_options_set_print_for(Options, cbPrintFor, nullptr);
|
|
|
|
isl_printer *P = isl_printer_to_str(S.getIslCtx());
|
|
P = isl_printer_set_output_format(P, ISL_FORMAT_C);
|
|
P = isl_printer_print_ast_expr(P, RunCondition);
|
|
RtCStr = isl_printer_get_str(P);
|
|
P = isl_printer_flush(P);
|
|
P = isl_printer_indent(P, 4);
|
|
P = isl_ast_node_print(RootNode, P, Options);
|
|
AstStr = isl_printer_get_str(P);
|
|
|
|
isl_union_map *Schedule =
|
|
isl_union_map_intersect_domain(S.getSchedule(), S.getDomains());
|
|
|
|
DEBUG({
|
|
dbgs() << S.getContextStr() << "\n";
|
|
dbgs() << stringFromIslObj(Schedule);
|
|
});
|
|
OS << "\nif (" << RtCStr << ")\n\n";
|
|
OS << AstStr << "\n";
|
|
OS << "else\n";
|
|
OS << " { /* original code */ }\n\n";
|
|
|
|
free(RtCStr);
|
|
free(AstStr);
|
|
|
|
isl_ast_expr_free(RunCondition);
|
|
isl_union_map_free(Schedule);
|
|
isl_ast_node_free(RootNode);
|
|
isl_printer_free(P);
|
|
}
|
|
|
|
void IslAstInfo::getAnalysisUsage(AnalysisUsage &AU) const {
|
|
// Get the Common analysis usage of ScopPasses.
|
|
ScopPass::getAnalysisUsage(AU);
|
|
AU.addRequired<ScopInfoRegionPass>();
|
|
AU.addRequired<DependenceInfo>();
|
|
}
|
|
|
|
char IslAstInfo::ID = 0;
|
|
|
|
Pass *polly::createIslAstInfoPass() { return new IslAstInfo(); }
|
|
|
|
INITIALIZE_PASS_BEGIN(IslAstInfo, "polly-ast",
|
|
"Polly - Generate an AST of the SCoP (isl)", false,
|
|
false);
|
|
INITIALIZE_PASS_DEPENDENCY(ScopInfoRegionPass);
|
|
INITIALIZE_PASS_DEPENDENCY(DependenceInfo);
|
|
INITIALIZE_PASS_END(IslAstInfo, "polly-ast",
|
|
"Polly - Generate an AST from the SCoP (isl)", false, false)
|