Integrate LLVM at llvm/llvm-project@6c64c8a6f3f7

WORKSPACE.bazel

@@ -17,9 +17,9 @@ workspace(name = "stablehlo")
 
 load("@bazel_tools//tools/build_defs/repo:http.bzl", "http_archive")
 
-LLVM_COMMIT = "12bcea3292a1559ecad549b5d34c8abcf19f2626"
+LLVM_COMMIT = "6c64c8a6f3f77c30745c751d4163ff6bf2fc323b"
 
-LLVM_SHA256 = "1ce4ec480f47e8b46cea858a652d18dff18844c821d18836c41edbf36151c209"
+LLVM_SHA256 = "a27f8452e8a4267acb7bf59ea4dae012cec22e37624a67206b927985554e3640"
 
 http_archive(
     name = "llvm-raw",

build_tools/llvm_version.txt

@@ -1 +1 @@
-12bcea3292a1559ecad549b5d34c8abcf19f2626
+6c64c8a6f3f77c30745c751d4163ff6bf2fc323b

docs/generated/stablehlo_linalg_passes.md

@@ -4,6 +4,7 @@
 _Legalize StableHLO to LinAlg_
 
 
+
 #### Options
 ```
 -enable-primitive-ops : Lower to primitive Linalg ops (map, reduce and transpose) when possible, instead of linalg.generic

docs/generated/stablehlo_passes.md

@@ -3,6 +3,7 @@
 
 _Legalizes from CHLO ops flow to StableHLO and Shape ops_
 
+
 ### `-shape-legalize-to-stablehlo`
 
 _Legalize shape-related ops to StableHLO._
@@ -17,6 +18,7 @@ compilation pipelines that use StableHLO operations to model dynamism.
 _Folds StableHLO operations_
 
 
+
 #### Options
 ```
 -fold-float : Allow for potentially lossy computations using float type.
@@ -25,6 +27,7 @@ _Folds StableHLO operations_
 
 _Canonicalizes StableHLO operations_
 
+
 ### `-stablehlo-canonicalize-dynamism`
 
 _Canonicalizes dynamic StableHLO ops into static ops._
@@ -87,6 +90,7 @@ func.func @tan_op_non_complex(%arg0: tensor<4xf64>) -> tensor<4xf64> {
 
 _Pass to transform the IR to be on signless integers._
 
+
 ### `-stablehlo-legalize-composite-to-call`
 
 _Replaces composite ops with a call to their decomposition._
@@ -232,6 +236,7 @@ func.func @add(%arg0: tensor<!quant.uniform<i8:f32, 1.000000e+00>>, %arg1: tenso
 
 _Legalize StableHLO to VHLO._
 
+
 ### `-stablehlo-refine-arguments`
 
 _Refines the argument shapes of the main function._
@@ -293,11 +298,13 @@ static shapes throughout the program.
 
 _Legalize VHLO to StableHLO._
 
+
 ### `-vhlo-to-version`
 
 _Convert between versions of VHLO._
 
 
+
 #### Options
 ```
 -target : The target version. Must be a version of the form #.#.# .

docs/generated/stablehlo_tosa_passes.md

@@ -3,6 +3,7 @@
 
 _Legalize StableHLO to TOSA_
 
+
 ### `-stablehlo-prepare-for-tosa`
 
 _Prepare StableHLO for legalization to TOSA_

stablehlo/conversions/linalg/transforms/TypeConversion.cpp

@@ -47,36 +47,35 @@ Type convertShapedType(ShapedType shapedType) {
   return shapedType;
 }
 
-std::optional<Value> materializeCastFromIllegal(OpBuilder &builder, Type type,
-                                                ValueRange inputs,
-                                                Location loc) {
+Value materializeCastFromIllegal(OpBuilder &builder, Type type,
+                                 ValueRange inputs, Location loc) {
   Type fromType = getElementTypeOrSelf(inputs[0].getType());
   Type toType = getElementTypeOrSelf(type);
   if ((!fromType.isSignedInteger() && !fromType.isUnsignedInteger()) ||
       !toType.isSignlessInteger())
-    return std::nullopt;
+    return Value();
   // Use unrealized conversion casts to do signful->signless conversions.
   return builder.create<UnrealizedConversionCastOp>(loc, type, inputs[0])
       ->getResult(0);
 }
 
-std::optional<Value> materializeCastToIllegal(OpBuilder &builder, Type type,
-                                              ValueRange inputs, Location loc) {
+Value materializeCastToIllegal(OpBuilder &builder, Type type, ValueRange inputs,
+                               Location loc) {
   Type fromType = getElementTypeOrSelf(inputs[0].getType());
   Type toType = getElementTypeOrSelf(type);
   if (!fromType.isSignlessInteger() ||
       (!toType.isSignedInteger() && !toType.isUnsignedInteger()))
-    return std::nullopt;
+    return Value();
   // Use unrealized conversion casts to do signless->signful conversions.
   return builder.create<UnrealizedConversionCastOp>(loc, type, inputs[0])
       ->getResult(0);
 }
 
-std::optional<Value> scalarToTensor(OpBuilder &builder, Type type,
-                                    ValueRange inputs, Location loc) {
+Value scalarToTensor(OpBuilder &builder, Type type, ValueRange inputs,
+                     Location loc) {
   assert(inputs.size() == 1);
   if (mlir::isa<ShapedType>(inputs.front().getType())) {
-    return std::nullopt;
+    return Value();
   }
   Value result =
       builder