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@PankajDwivedi-25 PankajDwivedi-25 commented Apr 28, 2025

See: #131779

This patch introduces a new target hook isSpecialUniformIntrinsic() in TargetTransformInfo, enabling targets to describe more complex relationships between operand uniformity and instruction uniformity.

Currently, all the users of the divergent values are marked as divergent conservatively; instead target can override the hook isSpecialUniformIntrinsic() to capture the operand-dependent uniformity.

@llvmbot llvmbot added backend:AMDGPU llvm:analysis Includes value tracking, cost tables and constant folding labels Apr 28, 2025
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llvmbot commented Apr 28, 2025

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Author: Pankaj Dwivedi (PankajDwivedi-25)

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This patch introduces a new target hook getInstructionUniformity(const Instruction &I) in TargetTransformInfo, enabling targets to describe more complex relationships between operand uniformity and instruction uniformity.

Currently, UniformityAnalysis categorizes instructions into a fixed set of InstructionUniformity values (Default, AlwaysUniform, NeverUniform).
However, some instructions, particularly intrinsics, have operand-dependent uniformity behaviors that are not easily captured within this framework.

This hook allows targets to override and implement custom uniformity-propagation rules for such cases.


Full diff: https://github.com/llvm/llvm-project/pull/137639.diff

7 Files Affected:

  • (modified) llvm/include/llvm/Analysis/TargetTransformInfo.h (+8)
  • (modified) llvm/include/llvm/Analysis/TargetTransformInfoImpl.h (+5)
  • (modified) llvm/lib/Analysis/TargetTransformInfo.cpp (+5)
  • (modified) llvm/lib/Analysis/UniformityAnalysis.cpp (+13)
  • (modified) llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.cpp (+21)
  • (modified) llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.h (+2)
  • (added) llvm/test/Analysis/UniformityAnalysis/AMDGPU/uniform_intrinsic.ll (+25)
diff --git a/llvm/include/llvm/Analysis/TargetTransformInfo.h b/llvm/include/llvm/Analysis/TargetTransformInfo.h
index 022530dc846ea..9af5006ce9c6d 100644
--- a/llvm/include/llvm/Analysis/TargetTransformInfo.h
+++ b/llvm/include/llvm/Analysis/TargetTransformInfo.h
@@ -23,6 +23,7 @@
 
 #include "llvm/ADT/APInt.h"
 #include "llvm/ADT/ArrayRef.h"
+#include "llvm/ADT/Uniformity.h"
 #include "llvm/Analysis/IVDescriptors.h"
 #include "llvm/IR/FMF.h"
 #include "llvm/IR/InstrTypes.h"
@@ -1916,6 +1917,13 @@ class TargetTransformInfo {
       const Function &F,
       SmallVectorImpl<std::pair<StringRef, int64_t>> &LB) const;
 
+  /// Target can implement more complex patterns for getting Uniformity of an
+  /// instruction.Currently Uniformity analysis catagorises instructions with a
+  /// fixed set of InstructionUniformity values: Default, AlwaysUniform and
+  /// NeverUniform.
+  std::optional<InstructionUniformity>
+  getInstructionUniformity(const Instruction &I) const;
+
 private:
   std::unique_ptr<const TargetTransformInfoImplBase> TTIImpl;
 };
diff --git a/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h b/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h
index 990252b1e5743..5bee462575181 100644
--- a/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h
+++ b/llvm/include/llvm/Analysis/TargetTransformInfoImpl.h
@@ -1147,6 +1147,11 @@ class TargetTransformInfoImplBase {
       const Function &F,
       SmallVectorImpl<std::pair<StringRef, int64_t>> &LB) const {}
 
+  virtual std::optional<InstructionUniformity>
+  getInstructionUniformity(const Instruction &I) const {
+    return std::nullopt;
+  }
+
 protected:
   // Obtain the minimum required size to hold the value (without the sign)
   // In case of a vector it returns the min required size for one element.
diff --git a/llvm/lib/Analysis/TargetTransformInfo.cpp b/llvm/lib/Analysis/TargetTransformInfo.cpp
index 8548afea72964..50157a7714bf7 100644
--- a/llvm/lib/Analysis/TargetTransformInfo.cpp
+++ b/llvm/lib/Analysis/TargetTransformInfo.cpp
@@ -1476,6 +1476,11 @@ void TargetTransformInfo::collectKernelLaunchBounds(
   return TTIImpl->collectKernelLaunchBounds(F, LB);
 }
 
+std::optional<InstructionUniformity>
+TargetTransformInfo::getInstructionUniformity(const Instruction &I) const {
+  return TTIImpl->getInstructionUniformity(I);
+}
+
 TargetTransformInfoImplBase::~TargetTransformInfoImplBase() = default;
 
 TargetIRAnalysis::TargetIRAnalysis() : TTICallback(&getDefaultTTI) {}
diff --git a/llvm/lib/Analysis/UniformityAnalysis.cpp b/llvm/lib/Analysis/UniformityAnalysis.cpp
index 2101fdfacfc8f..2fc6f523139a7 100644
--- a/llvm/lib/Analysis/UniformityAnalysis.cpp
+++ b/llvm/lib/Analysis/UniformityAnalysis.cpp
@@ -35,7 +35,20 @@ template <> void llvm::GenericUniformityAnalysisImpl<SSAContext>::initialize() {
       markDivergent(I);
     else if (TTI->isAlwaysUniform(&I))
       addUniformOverride(I);
+    else if (auto Uniformity = TTI->getInstructionUniformity(I)) {
+      switch (*Uniformity) {
+      case InstructionUniformity::AlwaysUniform:
+        addUniformOverride(I);
+        break;
+      case InstructionUniformity::NeverUniform:
+        markDivergent(I);
+        break;
+      case InstructionUniformity::Default:
+        break;
+      }
+    }
   }
+
   for (auto &Arg : F.args()) {
     if (TTI->isSourceOfDivergence(&Arg)) {
       markDivergent(&Arg);
diff --git a/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.cpp b/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.cpp
index 204d3df546bbf..5c59847dfeb62 100644
--- a/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.cpp
+++ b/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.cpp
@@ -1422,3 +1422,24 @@ void GCNTTIImpl::collectKernelLaunchBounds(
   LB.push_back({"amdgpu-waves-per-eu[0]", WavesPerEU.first});
   LB.push_back({"amdgpu-waves-per-eu[1]", WavesPerEU.second});
 }
+
+std::optional<InstructionUniformity>
+GCNTTIImpl::getInstructionUniformity(const Instruction &I) const {
+  if (const auto *II = dyn_cast<IntrinsicInst>(&I)) {
+    // We can define the custom rules for the intrinsics uniformity, depending
+    // on argument.
+    switch (II->getIntrinsicID()) {
+    case Intrinsic::amdgcn_permlane64:
+      // If either operand is uniform, the result is uniform.
+      for (unsigned Arg_i = 0, NumArg = II->arg_size(); Arg_i < NumArg;
+           Arg_i++) {
+        if (!isSourceOfDivergence(II->getArgOperand(Arg_i)))
+          return InstructionUniformity::AlwaysUniform;
+      }
+      return InstructionUniformity::Default;
+    default:
+      break;
+    }
+  }
+  return std::nullopt;
+}
\ No newline at end of file
diff --git a/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.h b/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.h
index f6f7bd4bfcf5b..bea0b024d745b 100644
--- a/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.h
+++ b/llvm/lib/Target/AMDGPU/AMDGPUTargetTransformInfo.h
@@ -290,6 +290,8 @@ class GCNTTIImpl final : public BasicTTIImplBase<GCNTTIImpl> {
   void collectKernelLaunchBounds(
       const Function &F,
       SmallVectorImpl<std::pair<StringRef, int64_t>> &LB) const override;
+  std::optional<InstructionUniformity>
+  getInstructionUniformity(const Instruction &I) const override;
 };
 
 } // end namespace llvm
diff --git a/llvm/test/Analysis/UniformityAnalysis/AMDGPU/uniform_intrinsic.ll b/llvm/test/Analysis/UniformityAnalysis/AMDGPU/uniform_intrinsic.ll
new file mode 100644
index 0000000000000..4bb89516b2e81
--- /dev/null
+++ b/llvm/test/Analysis/UniformityAnalysis/AMDGPU/uniform_intrinsic.ll
@@ -0,0 +1,25 @@
+; RUN: opt -mtriple amdgcn-unknown-amdhsa -passes='print<uniformity>' -disable-output %s 2>&1 | FileCheck %s
+
+; CHECK: ALL VALUES UNIFORM
+define amdgpu_kernel void @permlane64_constant(ptr addrspace(1) %out) {
+  %v = call i32 @llvm.amdgcn.permlane64(i32 7)
+  store i32 %v, ptr addrspace(1) %out
+  ret void
+}
+
+; CHECK: ALL VALUES UNIFORM
+define amdgpu_kernel void @permlane64_uniform(ptr addrspace(1) %out, i32 %src) {
+  %v = call i32 @llvm.amdgcn.permlane64(i32 %src)
+  store i32 %v, ptr addrspace(1) %out
+  ret void
+}
+
+; CHECK: DIVERGENT: %tid = call i32 @llvm.amdgcn.workitem.id.x()
+; CHECK: DIVERGENT: %v = call i32 @llvm.amdgcn.permlane64.i32(i32 %tid)
+define amdgpu_kernel void @permlane64_nonuniform(i32 addrspace(1)* %out) {
+  %tid = call i32 @llvm.amdgcn.workitem.id.x()
+  %v = call i32 @llvm.amdgcn.permlane64(i32 %tid)
+  %out_ptr = getelementptr i32, i32 addrspace(1)* %out, i32 %tid
+  store i32 %v, i32 addrspace(1)* %out_ptr
+  ret void
+}

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I don't know what this new hook gives that the existing ones do not handle already

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jayfoad commented Apr 29, 2025

I don't know what this new hook gives that the existing ones do not handle already

I think this is supposed to address #131779 (but in its current form it does not).

@PankajDwivedi-25
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Right, this is initial patch.

Right now it doesn't do anything more than already there.

I was looking for two things here.

  1. Intrinsic list whose uniformity depends on operand.
  2. How to get the operand uniformity at this point.

@PankajDwivedi-25 PankajDwivedi-25 force-pushed the users/pkd-25/make-ui-operand-aware branch from 8cca1b2 to e4cc773 Compare September 19, 2025 11:50
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I can see the target intrinsic of this hook is currently classified as sourceOfDivergence in .td file, which is hence marked divergent during the initialization phase itself of the uniformity analysis.

For example, I have removed one such intrinsic from the list in the .td, and now the hook can classify it as uniform if one or more of its operands are uniform.

return InstructionUniformity::Default;

if (CalledFunc->getIntrinsicID() == Intrinsic::amdgcn_permlane16) {
// Check if any operand is uniform.
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But this code does not seem to check any operand. It only checks the new InstructionUniformity.

if (!Uniformity || *Uniformity == InstructionUniformity::Default)
markDivergent(*UserInstr); // fallback: conservative
else if (*Uniformity == InstructionUniformity::Uniform)
addUniformOverride(*UserInstr);
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No one checked if the relevant operand is uniform. How did we conclude that the result is uniform?

NeverUniform
NeverUniform,

/// The result value is uniform because one or more of its operand are
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This seems to be saying: "The result is uniform if any operand is uniform". That is unlikely to be true for all intrinsics. We need statements of the form "The result is uniform if operand N is uniform".

@PankajDwivedi-25 PankajDwivedi-25 force-pushed the users/pkd-25/make-ui-operand-aware branch from e4cc773 to 860b485 Compare September 23, 2025 11:56
@jayfoad
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jayfoad commented Sep 24, 2025

This patch introduces a new target hook isSpecialUniformIntrinsic() in TargetTransformInfo, enabling targets to describe more complex relationships between operand uniformity and instruction uniformity.

Currently, all the users of the divergent values are marked as divergent conservatively; instead target can override the hook isSpecialUniformIntrinsic() to capture the operand-dependent uniformity.

The way you have implemented this, isSpecialUniformIntrinsic just identifies intrinsics that have yet another fixed way of calculating their uniformity: they are uniform if any of their operands are uniform. This is useful for some basic permute-style operations but really not flexible enough to be more generally useful.

For example, llvm.amdgcn.permlane16 has extra fetch_invalid and bound_control operands, so the "result if uniform if any operand is uniform" rule does not work for it! It needs to be something like "result is uniform is either of the first two operands are uniform (possibly with some more special cases depending on the values of the extra operands)".

I really think we need a more flexible target hook that can implement any arbitrary logic for the uniformity of the result of an operation, based on the uniformity of each of its operands.

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Don't we already have special context dependent uniformity with the existing API? e.g. identifying math based on the work item ID

Comment on lines +413 to +414
/// \brief keep track of special target intrinsics that can be proven uniform.
void addSpecialUniformIntrinsic(const InstructionT &Instr);
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It's not clear to me what 'special' means. Is there a better name?

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The term special means here that intrinsic can be uniform though not all of its operands are uniform.

Right, I am also not convinced of this name. will rename it later based on refined functionality.

; NOTE: Assertions have been autogenerated by utils/update_test_checks.py UTC_ARGS: --version 5
; RUN: opt -mtriple amdgcn-- -passes='print<uniformity>' -disable-output %s 2>&1 | FileCheck %s

; CHECK: ALL VALUES UNIFORM
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These aren't always always uniform, so need test coverage for all the conditions that would make this divergent

Comment on lines +78 to +79
if (SpecialUniformIntrinsics.count(UserInstr) &&
isAnyOperandUniform(*UserInstr)) {
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This is too specific of a "specially uniform" check. I'd expect this operand validation to be an operation dependent property

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Yeah, I think as @jayfoad suggested. Probably I should let this be decided by the target. The only thing is that it would be costlier, and the decision of uniformity will be taken outside of UA, which I am not sure is acceptable?

template <>
bool llvm::GenericUniformityAnalysisImpl<SSAContext>::isDivergentUse(
const Use &U) const {
const auto *V = U.get();
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no auto

@PankajDwivedi-25
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Don't we already have special context dependent uniformity with the existing API? e.g. identifying math based on the work item ID

I don't get this. you mean pattern optimizations based on work item ID?

I don't see any such API existing at the IR level.

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I really think we need a more flexible target hook that can implement any arbitrary logic for the uniformity of the result of an operation, based on the uniformity of each of its operands.

The only way I see to achieve this is by passing the Uniformity of the operands to Targets and letting them define the custom rule.

My concern is that it would be a bit expensive, also the decision of uniformity will be taken outside of UA.

Let me know if you guys have any thoughts on how best this can be implemented?

@PankajDwivedi-25 PankajDwivedi-25 changed the title [AMDGPU][TTI] Add Target Hook for Instruction Uniformity (getInstructionUniformity) [AMDGPU][TTI] Add Target Hook for Instruction Uniformity Sep 25, 2025
@PankajDwivedi-25 PankajDwivedi-25 changed the title [AMDGPU][TTI] Add Target Hook for Instruction Uniformity [AMDGPU][TTI] Add Target Hook for the custom Instruction Uniformity Sep 25, 2025
@PankajDwivedi-25 PankajDwivedi-25 changed the title [AMDGPU][TTI] Add Target Hook for the custom Instruction Uniformity [AMDGPU][TTI] Add target hook for the custom instruction uniformity Sep 25, 2025
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jayfoad commented Sep 25, 2025

Don't we already have special context dependent uniformity with the existing API? e.g. identifying math based on the work item ID

Yes we have some special known-uniform cases in GCNTTIImpl::isAlwaysUniform, but that code does not have access to the uniformity of the operands, so it cannot implement rules like "result is uniform if any operand is uniform".

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jayfoad commented Sep 25, 2025

The only way I see to achieve this is by passing the Uniformity of the operands to Targets and letting them define the custom rule.

Exactly, you would need some kind of target hook where the uniformity of the operands is passed in, or where the target hook can call back into UA to query the uniformity of operands.

My concern is that it would be a bit expensive, also the decision of uniformity will be taken outside of UA.

I don't see why it would be too expensive. If it is then we should just give up on trying to implement this feature.

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ssahasra commented Oct 6, 2025

The only way I see to achieve this is by passing the Uniformity of the operands to Targets and letting them define the custom rule.

Exactly, you would need some kind of target hook where the uniformity of the operands is passed in, or where the target hook can call back into UA to query the uniformity of operands.

My concern is that it would be a bit expensive, also the decision of uniformity will be taken outside of UA.

I don't see why it would be too expensive. If it is then we should just give up on trying to implement this feature.

We believe it will be expensive because there's a virtual function call happening every time the UA (re)visits an intrinsic call. The approach we are exploring now is more static ... the target hook can return an enum encoding the "uniformity policy" of the intrinsic, which will be cached. Then the UA can interpret the policy every time it visits an intrinsic. That way, all the queries and decisions taken for uniformity stay within the UA implementation, and the virtual function is called only once when initializing the UA.

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jayfoad commented Oct 6, 2025

We believe it will be expensive because there's a virtual function call happening every time the UA (re)visits an intrinsic call. The approach we are exploring now is more static ... the target hook can return an enum encoding the "uniformity policy" of the intrinsic, which will be cached. Then the UA can interpret the policy every time it visits an intrinsic. That way, all the queries and decisions taken for uniformity stay within the UA implementation, and the virtual function is called only once when initializing the UA.

Well, OK, but I think it needs to be at least flexible enough to handle cases like ""result is uniform if either of the first two operands are uniform", for intrinsics like llvm.amdgcn.permlane16.

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