Updates LLVM usage to match
[220de1f32add](https://github.com/llvm/llvm-project/commit/220de1f32add)

PiperOrigin-RevId: 337270545
This commit is contained in:
Adrian Kuegel 2020-10-15 02:53:17 -07:00 committed by TensorFlow MLIR Team
parent e8eb3f80d1
commit 0f36979e2c
3 changed files with 14 additions and 14 deletions

View File

@ -1,2 +1,2 @@
89657b3a3b5772558ac084dc03591de5dab3f1f1
220de1f32add09848009ae2286a1e6fd271abe9e

View File

@ -56,9 +56,9 @@ void PopulateMhloToStdPatterns(OwningRewritePatternList *patterns,
MLIRContext *ctx);
// Collection of rewrite patterns for lowering of HLO to LHLO dialect.
void populateHLOToLHLOConversionPattern(
MLIRContext *context, BufferAssignmentTypeConverter *converter,
OwningRewritePatternList *patterns);
void populateHLOToLHLOConversionPattern(MLIRContext *context,
BufferizeTypeConverter *converter,
OwningRewritePatternList *patterns);
// Collection of rewrite patterns for lowering of HLO to Linalg dialect.
void populateHLOToLinalgConversionPattern(MLIRContext *context,

View File

@ -42,7 +42,7 @@ namespace mhlo {
namespace {
template <typename T>
using BaseOpConversion = BufferAssignmentOpConversionPattern<T>;
using BaseOpConversion = BufferizeOpConversionPattern<T>;
Value InsertDynamicAllocAndDealloc(Location loc, Value result,
Value shape_operand,
@ -433,7 +433,7 @@ struct HloLegalizeToLhlo
target.addLegalOp<TensorFromElementsOp>();
target.addIllegalDialect<mhlo::MhloDialect>();
BufferAssignmentTypeConverter converter;
BufferizeTypeConverter converter;
auto isMemRefType = [](Type type) { return type.isa<BaseMemRefType>(); };
target.addDynamicallyLegalOp<FuncOp>([&](FuncOp op) {
auto inputs = op.getType().getInputs();
@ -456,16 +456,16 @@ struct HloLegalizeToLhlo
});
auto kind = results_escape_function
? BufferAssignmentTypeConverter::KeepAsFunctionResult
: BufferAssignmentTypeConverter::AppendToArgumentsList;
? BufferizeTypeConverter::KeepAsFunctionResult
: BufferizeTypeConverter::AppendToArgumentsList;
converter.setResultConversionKind<UnrankedTensorType, UnrankedMemRefType>(
kind);
converter.setResultConversionKind<RankedTensorType, MemRefType>(kind);
populateHLOToLHLOConversionPattern(&context, &converter, &patterns);
populateWithBufferAssignmentOpConversionPatterns<
mlir::ReturnOp, mlir::ReturnOp, lmhlo::CopyOp>(&context, converter,
patterns);
populateWithBufferizeOpConversionPatterns<mlir::ReturnOp, mlir::ReturnOp,
lmhlo::CopyOp>(
&context, converter, patterns);
populateShapeTypeConversionPatterns(&context, converter, patterns);
if (failed(applyPartialConversion(getOperation(), target, patterns)))
signalPassFailure();
@ -480,9 +480,9 @@ struct HloLegalizeToLhlo
};
} // namespace
void populateHLOToLHLOConversionPattern(
MLIRContext* context, BufferAssignmentTypeConverter* converter,
OwningRewritePatternList* patterns) {
void populateHLOToLHLOConversionPattern(MLIRContext* context,
BufferizeTypeConverter* converter,
OwningRewritePatternList* patterns) {
// clang-format off
patterns->insert<
HloToLhloDynamicBroadcastInDimOpConverter,