prototype

Author: matthias-springer

mlir/lib/Conversion/LLVMCommon/TypeConverter.cpp

@@ -237,8 +237,6 @@ LLVMTypeConverter::LLVMTypeConverter(MLIRContext *ctx,
   // Argument materializations convert from the new block argument types
   // (multiple SSA values that make up a memref descriptor) back to the
   // original block argument type.
-  addArgumentMaterialization(unrakedMemRefMaterialization);
-  addArgumentMaterialization(rankedMemRefMaterialization);
   addSourceMaterialization(unrakedMemRefMaterialization);
   addSourceMaterialization(rankedMemRefMaterialization);
 

mlir/lib/Dialect/EmitC/Transforms/TypeConversions.cpp

@@ -33,7 +33,6 @@ void mlir::populateEmitCSizeTTypeConversions(TypeConverter &converter) {
 
   converter.addSourceMaterialization(materializeAsUnrealizedCast);
   converter.addTargetMaterialization(materializeAsUnrealizedCast);
-  converter.addArgumentMaterialization(materializeAsUnrealizedCast);
 }
 
 /// Get an unsigned integer or size data type corresponding to \p ty.

mlir/lib/Dialect/Linalg/Transforms/Detensorize.cpp

@@ -154,7 +154,6 @@ class DetensorizeTypeConverter : public TypeConverter {
     });
 
     addSourceMaterialization(sourceMaterializationCallback);
-    addArgumentMaterialization(sourceMaterializationCallback);
   }
 };
 

mlir/lib/Dialect/Quant/Transforms/StripFuncQuantTypes.cpp

@@ -56,7 +56,6 @@ class QuantizedTypeConverter : public TypeConverter {
     addConversion(convertQuantizedType);
     addConversion(convertTensorType);
 
-    addArgumentMaterialization(materializeConversion);
     addSourceMaterialization(materializeConversion);
     addTargetMaterialization(materializeConversion);
   }

mlir/lib/Dialect/SparseTensor/Transforms/Utils/SparseTensorDescriptor.cpp

@@ -69,9 +69,6 @@ SparseTensorTypeToBufferConverter::SparseTensorTypeToBufferConverter() {
 
   // Required by scf.for 1:N type conversion.
   addSourceMaterialization(materializeTuple);
-
-  // Required as a workaround until we have full 1:N support.
-  addArgumentMaterialization(materializeTuple);
 }
 
 //===----------------------------------------------------------------------===//

mlir/lib/Dialect/Vector/Transforms/VectorLinearize.cpp

@@ -481,7 +481,6 @@ void mlir::vector::populateVectorLinearizeTypeConversionsAndLegality(
 
     return builder.create<vector::ShapeCastOp>(loc, type, inputs.front());
   };
-  typeConverter.addArgumentMaterialization(materializeCast);
   typeConverter.addSourceMaterialization(materializeCast);
   typeConverter.addTargetMaterialization(materializeCast);
   target.markUnknownOpDynamicallyLegal(