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This patch implements DTLTO cache. DTLTO cache is implemented the same
way as ThinLTO cache. In fact the same class Cache is used for both of them.

Because parameters for codegen are different for DTLTO and ThinLTO
(DTLTO codegen is done by invoking clang and its codegen parameters are
not fully synchronized with codegen parameters used by LTO backend).
The object files generated by DTLTO and ThinLTO might be different and
shouldn't be mixed. If ThinLTO and DTLTO share the same cache
directory, the cache file won't interfere with each other.

I added a couple of test files in cross-project-test/dtlto directory,
but if more tests are required for initial implementation, I could add
them.

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github-actions bot commented Sep 2, 2025

✅ With the latest revision this PR passed the C/C++ code formatter.

@romanova-ekaterina romanova-ekaterina force-pushed the dtlto-cache-implementation branch 2 times, most recently from c270018 to 514ed5f Compare September 3, 2025 10:43
 This patch implements DTLTO cache. DTLTO cache is implemented the same
 way as ThinLTO cache. In fact the same class Cache is used for both of them.

 Because parameters for codegen are different for DTLTO and ThinLTO
 (DTLTO codegen is done by invoking clang and its codegen parameters are
 not fully synchronized with codegen parameters used by LTO backend).
 The object files generated by DTLTO and ThinLTO might be different and
 shouldn't be mixed. If ThinLTO and DTLTO share the same cache
 directory, the cache file won't interfere with each other.

 I added a couple of test files in cross-project-test/dtlto directory,
 but if more tests are required for initial implementation, I could add
 them.
@romanova-ekaterina romanova-ekaterina force-pushed the dtlto-cache-implementation branch from 514ed5f to 1ecbb72 Compare September 4, 2025 06:13
@llvmbot llvmbot added the LTO Link time optimization (regular/full LTO or ThinLTO) label Sep 4, 2025
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llvmbot commented Sep 4, 2025

@llvm/pr-subscribers-lto

Author: Katya Romanova (romanova-ekaterina)

Changes

This patch implements DTLTO cache. DTLTO cache is implemented the same
way as ThinLTO cache. In fact the same class Cache is used for both of them.

Because parameters for codegen are different for DTLTO and ThinLTO
(DTLTO codegen is done by invoking clang and its codegen parameters are
not fully synchronized with codegen parameters used by LTO backend).
The object files generated by DTLTO and ThinLTO might be different and
shouldn't be mixed. If ThinLTO and DTLTO share the same cache
directory, the cache file won't interfere with each other.

I added a couple of test files in cross-project-test/dtlto directory,
but if more tests are required for initial implementation, I could add
them.


Full diff: https://github.com/llvm/llvm-project/pull/156433.diff

4 Files Affected:

  • (added) cross-project-tests/dtlto/dtlto-cache.test (+89)
  • (added) cross-project-tests/dtlto/dtlto-thinlto-cache.test (+66)
  • (modified) llvm/include/llvm/LTO/Config.h (+1)
  • (modified) llvm/lib/LTO/LTO.cpp (+98-33)
diff --git a/cross-project-tests/dtlto/dtlto-cache.test b/cross-project-tests/dtlto/dtlto-cache.test
new file mode 100644
index 0000000000000..b98d4dbb433bb
--- /dev/null
+++ b/cross-project-tests/dtlto/dtlto-cache.test
@@ -0,0 +1,89 @@
+REQUIRES: x86-registered-target, ld.lld
+
+# Show that the ThinLTO cache works with DTLTO.
+
+RUN: rm -rf %t && split-file %s %t && cd %t
+
+# Compile source files into bitcode files.
+RUN: %clang -O2 --target=x86_64-linux-gnu -flto=thin -c foo.c main.c
+
+# Execute the linker and check that the cache is populated.
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o populate1.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there are two backend compilation jobs occurred.
+RUN: grep -wo args populate1.*.dist-file.json | wc -l | grep -qx 3
+RUN: ls cache.dir/llvmcache.timestamp
+RUN: ls cache.dir | count 3
+
+# Execute the linker again and check that a fully populated cache is used correctly, 
+# i.e., no additional cache entries are created for cache hits.
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o populate2.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there are no backend compilation jobs occurred.
+RUN: grep -wo args populate2.*.dist-file.json | wc -l | grep -qx 1
+RUN: ls cache.dir | count 3
+
+RUN: %clang -O0 --target=x86_64-linux-gnu -flto=thin -c foo.c -o foo.O0.o
+RUN: %clang -O0 --target=x86_64-linux-gnu -flto=thin -c main.c -o main.O0.o
+
+# Execute the linker again and check that the cache is populated correctly when there 
+# are no cache hits but there are existing cache entries.
+# As a side effect, this also verifies that the optimization level is considered when 
+# evaluating the cache entry key.
+
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.O0.o foo.O0.o -o populate3.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there are two new backend compilation jobs occurred.
+RUN: grep -wo args populate3.*.dist-file.json | wc -l | grep -qx 3
+RUN: ls cache.dir | count 5
+
+RUN: %clang -O2 --target=x86_64-linux-gnu -flto=thin -c main-partial.c 
+
+# Execute the linker and check that everything works correctly with the partially populated cache;
+# One more cache entry should be generated after this run.
+
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main-partial.o foo.o -o main-partial.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there is one new backend compilation jobs occurred.
+RUN: grep -wo args main-partial.*.dist-file.json | wc -l | grep -qx 2
+RUN: ls cache.dir | count 6
+
+#--- foo.c
+volatile int foo_int;
+__attribute__((retain)) int foo(int x) { return x + foo_int; }
+
+#--- main.c
+extern int foo(int x);
+__attribute__((retain)) int main(int argc, char** argv) {
+  return foo(argc);
+}
+
+#--- main-partial.c
+extern int foo(int x);
+__attribute__((retain)) int main(int argc, char** argv) {
+  return foo(argc+1);
+}
diff --git a/cross-project-tests/dtlto/dtlto-thinlto-cache.test b/cross-project-tests/dtlto/dtlto-thinlto-cache.test
new file mode 100644
index 0000000000000..d71e4aa5f131d
--- /dev/null
+++ b/cross-project-tests/dtlto/dtlto-thinlto-cache.test
@@ -0,0 +1,66 @@
+REQUIRES: x86-registered-target, ld.lld
+
+# This test verifies that a cache populated by a ThinLTO link is not reused by a DTLTO link and vice versa.
+
+RUN: rm -rf %t && split-file %s %t && cd %t
+
+# Compile source files into bitcode files.
+RUN: %clang -O2 --target=x86_64-linux-gnu -flto=thin -c foo.c main.c
+
+# Execute the linker and check that ThinLTO cache is populated.
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o main.elf \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+RUN: ls cache.dir/llvmcache.timestamp
+RUN: ls cache.dir | count 3
+
+# Execute the linker and check that DTLTO adds additional entries to the ThinLTO cache, implying they do not share entries.
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o populate1.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there are two backend compilation jobs occurred.
+RUN: grep -wo args populate1.*.dist-file.json | wc -l | grep -qx 3
+RUN: ls cache.dir | count 5
+
+# Clean up cache directory.
+RUN: rm -rf cache.dir
+
+# Execute the linker and check that DTLTO cache is populated. 
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o populate2.elf \
+RUN:   -Wl,--thinlto-distributor=%python \
+RUN:   -Wl,--thinlto-distributor-arg=%llvm_src_root/utils/dtlto/local.py \
+RUN:   -Wl,--thinlto-remote-compiler=%clang \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+# Check that there are two backend compilation jobs occurred.
+RUN: grep -wo args populate2.*.dist-file.json | wc -l | grep -qx 3
+RUN: ls cache.dir/llvmcache.timestamp
+RUN: ls cache.dir | count 3
+
+# Execute the linker and check that DTLTO adds additional entries to the ThinLTO cache, 
+# implying they do not share entries.
+RUN: %clang -O2 --target=x86_64-linux-gnu -Werror -flto=thin -fuse-ld=lld -nostdlib -e main \
+RUN:   main.o foo.o -o main.elf \
+RUN:   -Wl,--thinlto-cache-dir=cache.dir \
+RUN:   -Wl,--save-temps
+
+RUN: ls cache.dir | count 5
+
+#--- foo.c
+volatile int foo_int;
+__attribute__((retain)) int foo(int x) { return x + foo_int; }
+
+#--- main.c
+extern int foo(int x);
+__attribute__((retain)) int main(int argc, char** argv) {
+  return foo(argc);
+}
diff --git a/llvm/include/llvm/LTO/Config.h b/llvm/include/llvm/LTO/Config.h
index 50e143c518213..f5cd2e79e137c 100644
--- a/llvm/include/llvm/LTO/Config.h
+++ b/llvm/include/llvm/LTO/Config.h
@@ -281,6 +281,7 @@ struct Config {
   LLVM_ABI Error addSaveTemps(std::string OutputFileName,
                               bool UseInputModulePath = false,
                               const DenseSet<StringRef> &SaveTempsArgs = {});
+  mutable uint8_t Dtlto = 0;
 };
 
 struct LTOLLVMDiagnosticHandler : public DiagnosticHandler {
diff --git a/llvm/lib/LTO/LTO.cpp b/llvm/lib/LTO/LTO.cpp
index 35d24c17bbd93..c086cffe9f9c9 100644
--- a/llvm/lib/LTO/LTO.cpp
+++ b/llvm/lib/LTO/LTO.cpp
@@ -168,6 +168,7 @@ std::string llvm::computeLTOCacheKey(
   AddString(Conf.OverrideTriple);
   AddString(Conf.DefaultTriple);
   AddString(Conf.DwoDir);
+  AddUint8(Conf.Dtlto);
 
   // Include the hash for the current module
   auto ModHash = Index.getModuleHash(ModuleID);
@@ -2244,7 +2245,7 @@ class OutOfProcessThinBackend : public CGThinBackend {
 
   SmallVector<StringRef, 0> CodegenOptions;
   DenseSet<StringRef> CommonInputs;
-
+  std::atomic<uint64_t> CachedJobs{0};
   // Information specific to individual backend compilation job.
   struct Job {
     unsigned Task;
@@ -2252,6 +2253,9 @@ class OutOfProcessThinBackend : public CGThinBackend {
     StringRef NativeObjectPath;
     StringRef SummaryIndexPath;
     ImportsFilesContainer ImportsFiles;
+    std::string CacheKey;
+    AddStreamFn CacheAddStream;
+    bool Cached = false;
   };
   // The set of backend compilations jobs.
   SmallVector<Job> Jobs;
@@ -2265,12 +2269,15 @@ class OutOfProcessThinBackend : public CGThinBackend {
   // The target triple to supply for backend compilations.
   llvm::Triple Triple;
 
+  // Cache
+  FileCache Cache;
+
 public:
   OutOfProcessThinBackend(
       const Config &Conf, ModuleSummaryIndex &CombinedIndex,
       ThreadPoolStrategy ThinLTOParallelism,
       const DenseMap<StringRef, GVSummaryMapTy> &ModuleToDefinedGVSummaries,
-      AddStreamFn AddStream, lto::IndexWriteCallback OnWrite,
+      AddStreamFn AddStream, FileCache CacheFn, lto::IndexWriteCallback OnWrite,
       bool ShouldEmitIndexFiles, bool ShouldEmitImportsFiles,
       StringRef LinkerOutputFile, StringRef Distributor,
       ArrayRef<StringRef> DistributorArgs, StringRef RemoteCompiler,
@@ -2280,7 +2287,8 @@ class OutOfProcessThinBackend : public CGThinBackend {
                       ShouldEmitImportsFiles, ThinLTOParallelism),
         LinkerOutputFile(LinkerOutputFile), DistributorPath(Distributor),
         DistributorArgs(DistributorArgs), RemoteCompiler(RemoteCompiler),
-        RemoteCompilerArgs(RemoteCompilerArgs), SaveTemps(SaveTemps) {}
+        RemoteCompilerArgs(RemoteCompilerArgs), SaveTemps(SaveTemps),
+        Cache(std::move(CacheFn)) {}
 
   virtual void setup(unsigned ThinLTONumTasks, unsigned ThinLTOTaskOffset,
                      llvm::Triple Triple) override {
@@ -2288,6 +2296,7 @@ class OutOfProcessThinBackend : public CGThinBackend {
     Jobs.resize((size_t)ThinLTONumTasks);
     this->ThinLTOTaskOffset = ThinLTOTaskOffset;
     this->Triple = Triple;
+    this->Conf.Dtlto = 1;
   }
 
   Error start(
@@ -2304,13 +2313,14 @@ class OutOfProcessThinBackend : public CGThinBackend {
                                        itostr(Task) + "." + UID + ".native.o");
 
     Job &J = Jobs[Task - ThinLTOTaskOffset];
-    J = {
-        Task,
-        ModulePath,
-        Saver.save(ObjFilePath.str()),
-        Saver.save(ObjFilePath.str() + ".thinlto.bc"),
-        {} // Filled in by emitFiles below.
-    };
+    J = {Task,
+         ModulePath,
+         Saver.save(ObjFilePath.str()),
+         Saver.save(ObjFilePath.str() + ".thinlto.bc"),
+         {}, // Filled in by emitFiles below.
+         "",
+         nullptr,
+         false};
 
     assert(ModuleToDefinedGVSummaries.count(ModulePath));
 
@@ -2326,6 +2336,35 @@ class OutOfProcessThinBackend : public CGThinBackend {
             else
               Err = std::move(E);
           }
+
+          if (Cache.isValid() &&
+              CombinedIndex.modulePaths().count(J.ModuleID) &&
+              all_of(CombinedIndex.getModuleHash(J.ModuleID),
+                     [](uint32_t V) { return V != 0; })) {
+
+            const GVSummaryMapTy &DefinedGlobals =
+                ModuleToDefinedGVSummaries.find(ModulePath)->second;
+
+            // Compute and store a bitcode module cache key.
+            J.CacheKey = computeLTOCacheKey(
+                Conf, CombinedIndex, ModulePath, ImportList, ExportList,
+                ResolvedODR, DefinedGlobals, CfiFunctionDefs, CfiFunctionDecls);
+
+            // Check if we have something in the cache.
+            auto CacheAddStreamExp = Cache(J.Task, J.CacheKey, J.ModuleID);
+            if (Error E = CacheAddStreamExp.takeError()) {
+              Err = joinErrors(std::move(*Err), std::move(E));
+            } else {
+              AddStreamFn &CacheAddStream = *CacheAddStreamExp;
+              if (!CacheAddStream) {
+                J.Cached = true; // Cache hit, mark the job as cached.
+                CachedJobs.fetch_add(1);
+              } else {
+                // Cache miss, save cache 'add stream' function for a later use.
+                J.CacheAddStream = std::move(CacheAddStream);
+              }
+            }
+          }
         },
         std::ref(J), std::ref(ImportList));
 
@@ -2417,6 +2456,9 @@ class OutOfProcessThinBackend : public CGThinBackend {
         for (const auto &J : Jobs) {
           assert(J.Task != 0);
 
+          if (!Cache.getCacheDirectoryPath().empty() && J.Cached)
+            continue;
+
           SmallVector<StringRef, 2> Inputs;
           SmallVector<StringRef, 1> Outputs;
 
@@ -2488,20 +2530,26 @@ class OutOfProcessThinBackend : public CGThinBackend {
         removeFile(JsonFile);
     });
 
-    SmallVector<StringRef, 3> Args = {DistributorPath};
-    llvm::append_range(Args, DistributorArgs);
-    Args.push_back(JsonFile);
-    std::string ErrMsg;
-    if (sys::ExecuteAndWait(Args[0], Args,
-                            /*Env=*/std::nullopt, /*Redirects=*/{},
-                            /*SecondsToWait=*/0, /*MemoryLimit=*/0, &ErrMsg)) {
-      return make_error<StringError>(
-          BCError + "distributor execution failed" +
-              (!ErrMsg.empty() ? ": " + ErrMsg + Twine(".") : Twine(".")),
-          inconvertibleErrorCode());
+    if (CachedJobs.load() < Jobs.size()) {
+      SmallVector<StringRef, 3> Args = {DistributorPath};
+      llvm::append_range(Args, DistributorArgs);
+      Args.push_back(JsonFile);
+      std::string ErrMsg;
+      if (sys::ExecuteAndWait(Args[0], Args,
+                              /*Env=*/std::nullopt, /*Redirects=*/{},
+                              /*SecondsToWait=*/0, /*MemoryLimit=*/0,
+                              &ErrMsg)) {
+        return make_error<StringError>(
+            BCError + "distributor execution failed" +
+                (!ErrMsg.empty() ? ": " + ErrMsg + Twine(".") : Twine(".")),
+            inconvertibleErrorCode());
+      }
     }
 
     for (auto &Job : Jobs) {
+      if (Cache.isValid() && !Job.CacheKey.empty())
+        if (Job.Cached)
+          continue;
       // Load the native object from a file into a memory buffer
       // and store its contents in the output buffer.
       auto ObjFileMbOrErr =
@@ -2512,15 +2560,32 @@ class OutOfProcessThinBackend : public CGThinBackend {
             BCError + "cannot open native object file: " +
                 Job.NativeObjectPath + ": " + EC.message(),
             inconvertibleErrorCode());
-      auto StreamOrErr = AddStream(Job.Task, Job.ModuleID);
-      if (Error Err = StreamOrErr.takeError())
-        report_fatal_error(std::move(Err));
-      auto &Stream = *StreamOrErr->get();
-      *Stream.OS << ObjFileMbOrErr->get()->getMemBufferRef().getBuffer();
-      if (Error Err = Stream.commit())
-        report_fatal_error(std::move(Err));
-    }
 
+      MemoryBufferRef ObjFileMbRef = ObjFileMbOrErr->get()->getMemBufferRef();
+      if (Cache.isValid() && Job.CacheAddStream) {
+        // Obtain a file stream for a storing a cache entry.
+        auto CachedFileStreamOrErr = Job.CacheAddStream(Job.Task, Job.ModuleID);
+        if (!CachedFileStreamOrErr)
+          return joinErrors(
+              CachedFileStreamOrErr.takeError(),
+              createStringError(inconvertibleErrorCode(),
+                                "Cannot get a cache file stream: %s",
+                                Job.NativeObjectPath.data()));
+        // Store a file buffer into the cache stream.
+        auto &CacheStream = *(CachedFileStreamOrErr->get());
+        *(CacheStream.OS) << ObjFileMbRef.getBuffer();
+        if (Error Err = CacheStream.commit())
+          return Err;
+      } else {
+        auto StreamOrErr = AddStream(Job.Task, Job.ModuleID);
+        if (Error Err = StreamOrErr.takeError())
+          report_fatal_error(std::move(Err));
+        auto &Stream = *StreamOrErr->get();
+        *Stream.OS << ObjFileMbRef.getBuffer();
+        if (Error Err = Stream.commit())
+          report_fatal_error(std::move(Err));
+      }
+    }
     return Error::success();
   }
 };
@@ -2535,12 +2600,12 @@ ThinBackend lto::createOutOfProcessThinBackend(
   auto Func =
       [=](const Config &Conf, ModuleSummaryIndex &CombinedIndex,
           const DenseMap<StringRef, GVSummaryMapTy> &ModuleToDefinedGVSummaries,
-          AddStreamFn AddStream, FileCache /*Cache*/) {
+          AddStreamFn AddStream, FileCache Cache) {
         return std::make_unique<OutOfProcessThinBackend>(
             Conf, CombinedIndex, Parallelism, ModuleToDefinedGVSummaries,
-            AddStream, OnWrite, ShouldEmitIndexFiles, ShouldEmitImportsFiles,
-            LinkerOutputFile, Distributor, DistributorArgs, RemoteCompiler,
-            RemoteCompilerArgs, SaveTemps);
+            AddStream, Cache, OnWrite, ShouldEmitIndexFiles,
+            ShouldEmitImportsFiles, LinkerOutputFile, Distributor,
+            DistributorArgs, RemoteCompiler, RemoteCompilerArgs, SaveTemps);
       };
   return ThinBackend(Func, Parallelism);
 }

@romanova-ekaterina romanova-ekaterina changed the title [DTLTO] [Clang] Initial DTLTO cache implementation [DTLTO] [LLVM] Initial DTLTO cache implementation Sep 5, 2025
SmallVector<StringRef, 0> CodegenOptions;
DenseSet<StringRef> CommonInputs;

std::atomic<uint64_t> CachedJobs{0};
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size_t should be enough

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@romanova-ekaterina romanova-ekaterina Sep 11, 2025

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Are you suggesting to change it to
std::atomic<size_t> CachedJobs{0};
or to
size_t CachedJobs{0};

This variable is changed in the thread pool. We cannot safely get rid of atomic because of a data race.

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Vitaly, I was wondering if there are some other comments related to this PR?

@vitalybuka vitalybuka self-requested a review September 10, 2025 20:28
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Sorry for the slow review. Comments below.

Please also add llvm-lto2 based tests to llvm/test/ThinLTO/X86/dtlto, so that this gets exercised by LLVM tests.

@@ -0,0 +1,66 @@
REQUIRES: x86-registered-target, ld.lld

# This test verifies that a cache populated by a ThinLTO link is not reused by a DTLTO link and vice versa.
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Probably make this "by an in-process ThinLTO link", since DTLTO is also ThinLTO.

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ditto other places below

LLVM_ABI Error addSaveTemps(std::string OutputFileName,
bool UseInputModulePath = false,
const DenseSet<StringRef> &SaveTempsArgs = {});
mutable uint8_t Dtlto = 0;
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bool? Also, add a comment about the need for this variable.

Saver.save(ObjFilePath.str()),
Saver.save(ObjFilePath.str() + ".thinlto.bc"),
{}, // Filled in by emitFiles below.
"",
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Document constant values with comment e.g. /*CacheKey=*/

SmallVector<StringRef, 0> CodegenOptions;
DenseSet<StringRef> CommonInputs;

std::atomic<uint64_t> CachedJobs{0};
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Add comment description

for (const auto &J : Jobs) {
assert(J.Task != 0);

if (!Cache.getCacheDirectoryPath().empty() && J.Cached)
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When would Cache.getCacheDirectoryPath().empty() be true at the same time as J.Cached?

}

for (auto &Job : Jobs) {
if (Cache.isValid() && !Job.CacheKey.empty())
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Can Cache.isValid be false if CacheKey is not empty?


for (auto &Job : Jobs) {
if (Cache.isValid() && !Job.CacheKey.empty())
if (Job.Cached)
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Combine with enclosing if check on prior line?

}

MemoryBufferRef ObjFileMbRef = ObjFileMbOrErr->get()->getMemBufferRef();
if (Cache.isValid() && Job.CacheAddStream) {
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Can Cache.isValid be false if CacheAddStream is non-null?

BCError + "distributor execution failed" +
(!ErrMsg.empty() ? ": " + ErrMsg + Twine(".") : Twine(".")),
inconvertibleErrorCode());
if (CachedJobs.load() < Jobs.size()) {
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Can you add a comment. I don't have a good understanding of what the CachedJobs count is for and how that works.

Err = std::move(E);
}

if (Cache.isValid() &&
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This lambda is getting pretty large. Can you refactor it into a runThinLTOBackendThread helper, and as much as possible structure it the same way as InProcessThinBackend::runThinLTOBackendThread ? Eventually it may make sense to move some of this into the base CGThinBackend, but at the very least, making the flow similar will help with comparing the functionality and code maintenance.

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4 participants