Import prebuilt clang toolchain for linux.
diff --git a/linux-x64/clang/include/llvm/Analysis/DivergenceAnalysis.h b/linux-x64/clang/include/llvm/Analysis/DivergenceAnalysis.h
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+++ b/linux-x64/clang/include/llvm/Analysis/DivergenceAnalysis.h
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+//===- llvm/Analysis/DivergenceAnalysis.h - Divergence Analysis -*- C++ -*-===//
+//
+// The LLVM Compiler Infrastructure
+//
+// This file is distributed under the University of Illinois Open Source
+// License. See LICENSE.TXT for details.
+//
+//===----------------------------------------------------------------------===//
+//
+// The divergence analysis is an LLVM pass which can be used to find out
+// if a branch instruction in a GPU program is divergent or not. It can help
+// branch optimizations such as jump threading and loop unswitching to make
+// better decisions.
+//
+//===----------------------------------------------------------------------===//
+#ifndef LLVM_ANALYSIS_DIVERGENCE_ANALYSIS_H
+#define LLVM_ANALYSIS_DIVERGENCE_ANALYSIS_H
+
+#include "llvm/ADT/DenseSet.h"
+#include "llvm/IR/Function.h"
+#include "llvm/Pass.h"
+
+namespace llvm {
+class Value;
+class DivergenceAnalysis : public FunctionPass {
+public:
+ static char ID;
+
+ DivergenceAnalysis() : FunctionPass(ID) {
+ initializeDivergenceAnalysisPass(*PassRegistry::getPassRegistry());
+ }
+
+ void getAnalysisUsage(AnalysisUsage &AU) const override;
+
+ bool runOnFunction(Function &F) override;
+
+ // Print all divergent branches in the function.
+ void print(raw_ostream &OS, const Module *) const override;
+
+ // Returns true if V is divergent.
+ bool isDivergent(const Value *V) const { return DivergentValues.count(V); }
+
+ // Returns true if V is uniform/non-divergent.
+ bool isUniform(const Value *V) const { return !isDivergent(V); }
+
+private:
+ // Stores all divergent values.
+ DenseSet<const Value *> DivergentValues;
+};
+} // End llvm namespace
+
+#endif //LLVM_ANALYSIS_DIVERGENCE_ANALYSIS_H
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