64 lines
1.8 KiB
C++
64 lines
1.8 KiB
C++
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinAttributes.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/OperationSupport.h"
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#include "triton/Dialect.h"
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#include "triton/Types.h"
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#define GET_OP_CLASSES
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#include "triton/Ops.cpp.inc"
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// enum attribute definitions
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#include "triton/OpsEnums.cpp.inc"
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namespace mlir {
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namespace triton {
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//-- StoreOp --
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// Default mask
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void StoreOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state, ::mlir::Value ptr, ::mlir::Value value) {
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TensorType ptrType = ptr.getType().dyn_cast<TensorType>();
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auto shape = ptrType.getShape();
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::mlir::Value mask = builder.create<arith::ConstantOp>(
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ptr.getLoc(),
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RankedTensorType::get(shape, builder.getI1Type()),
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DenseIntElementsAttr::get(
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RankedTensorType::get(shape, builder.getI1Type()), true
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)
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);
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state.addOperands(ptr);
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state.addOperands(value);
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state.addOperands(mask);
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}
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//-- LoadOp --
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void LoadOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state, ::mlir::Value ptr) {
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TensorType ptrType = ptr.getType().dyn_cast<TensorType>();
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Type elementType = ptrType.getElementType().dyn_cast<PointerType>().getPointeeType();
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auto shape = ptrType.getShape();
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// mask
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::mlir::Value mask = builder.create<arith::ConstantOp>(
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ptr.getLoc(),
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RankedTensorType::get(shape, builder.getI1Type()),
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DenseIntElementsAttr::get(
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RankedTensorType::get(shape, builder.getI1Type()), true
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)
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);
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// other
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Type resultType = RankedTensorType::get(shape, elementType);
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::mlir::Value other = builder.create<arith::ConstantOp>(
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ptr.getLoc(),
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resultType,
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DenseElementsAttr::get(
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resultType, builder.getZeroAttr(elementType)
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)
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);
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state.addOperands(ptr);
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state.addOperands(mask);
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state.addOperands(other);
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state.addTypes({resultType});
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}
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} // namespace triton
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} // namespace mlir
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