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[CI] run clang-format (#24)

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This commit is contained in:
Philippe Tillet
2022-07-26 17:25:03 -07:00
committed by GitHub
parent 25357083e6
commit 6d62d88d4f
62 changed files with 13673 additions and 11367 deletions
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58
lib/Dialect/Triton/IR/Ops.cpp
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@@ -13,14 +13,16 @@ namespace triton {
static Type getI1SameShape(Type type) {
auto i1Type = IntegerType::get(type.getContext(), 1);
if (auto tensorType = type.dyn_cast<RankedTensorType>())
return RankedTensorType::get(tensorType.getShape(), i1Type, tensorType.getEncoding());
return RankedTensorType::get(tensorType.getShape(), i1Type,
tensorType.getEncoding());
return Type();
}
static Type getI32SameShape(Type type) {
auto i32Type = IntegerType::get(type.getContext(), 32);
if (auto tensorType = type.dyn_cast<RankedTensorType>())
return RankedTensorType::get(tensorType.getShape(), i32Type, tensorType.getEncoding());
return RankedTensorType::get(tensorType.getShape(), i32Type,
tensorType.getEncoding());
return Type();
}
@@ -34,8 +36,8 @@ static Type getPointerTypeFromTensor(Type type) {
return Type();
}
}
}
} // namespace triton
} // namespace mlir
#define GET_OP_CLASSES
#include "triton/Dialect/Triton/IR/Ops.cpp.inc"
@@ -48,50 +50,48 @@ namespace triton {
//-- StoreOp --
// Default mask
void StoreOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state, ::mlir::Value ptr, ::mlir::Value value) {
void StoreOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state,
::mlir::Value ptr, ::mlir::Value value) {
TensorType ptrType = ptr.getType().dyn_cast<TensorType>();
auto shape = ptrType.getShape();
::mlir::Value mask = builder.create<arith::ConstantOp>(
ptr.getLoc(),
RankedTensorType::get(shape, builder.getI1Type()),
DenseIntElementsAttr::get(
RankedTensorType::get(shape, builder.getI1Type()), true
)
);
ptr.getLoc(), RankedTensorType::get(shape, builder.getI1Type()),
DenseIntElementsAttr::get(
RankedTensorType::get(shape, builder.getI1Type()), true));
state.addOperands(ptr);
state.addOperands(value);
state.addOperands(mask);
}
//-- LoadOp --
void LoadOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state, ::mlir::Value ptr,
::mlir::triton::CacheModifier cache, ::mlir::triton::EvictionPolicy evict, bool isVolatile) {
void LoadOp::build(::mlir::OpBuilder &builder, ::mlir::OperationState &state,
::mlir::Value ptr, ::mlir::triton::CacheModifier cache,
::mlir::triton::EvictionPolicy evict, bool isVolatile) {
TensorType ptrType = ptr.getType().dyn_cast<TensorType>();
Type elementType = ptrType.getElementType().dyn_cast<PointerType>().getPointeeType();
Type elementType =
ptrType.getElementType().dyn_cast<PointerType>().getPointeeType();
auto shape = ptrType.getShape();
// mask
::mlir::Value mask = builder.create<arith::ConstantOp>(
ptr.getLoc(),
RankedTensorType::get(shape, builder.getI1Type()),
DenseIntElementsAttr::get(
RankedTensorType::get(shape, builder.getI1Type()), true
)
);
ptr.getLoc(), RankedTensorType::get(shape, builder.getI1Type()),
DenseIntElementsAttr::get(
RankedTensorType::get(shape, builder.getI1Type()), true));
// other
Type resultType = RankedTensorType::get(shape, elementType);
::mlir::Value other = builder.create<arith::ConstantOp>(
ptr.getLoc(),
resultType,
DenseElementsAttr::get(
resultType, builder.getZeroAttr(elementType)
)
);
ptr.getLoc(), resultType,
DenseElementsAttr::get(resultType, builder.getZeroAttr(elementType)));
state.addOperands(ptr);
state.addOperands(mask);
state.addOperands(other);
state.addAttribute(cacheAttrName(state.name), ::mlir::triton::CacheModifierAttr::get(builder.getContext(), cache));
state.addAttribute(evictAttrName(state.name), ::mlir::triton::EvictionPolicyAttr::get(builder.getContext(), evict));
state.addAttribute(isVolatileAttrName(state.name), builder.getBoolAttr(isVolatile));
state.addAttribute(
cacheAttrName(state.name),
::mlir::triton::CacheModifierAttr::get(builder.getContext(), cache));
state.addAttribute(
evictAttrName(state.name),
::mlir::triton::EvictionPolicyAttr::get(builder.getContext(), evict));
state.addAttribute(isVolatileAttrName(state.name),
builder.getBoolAttr(isVolatile));
state.addTypes({resultType});
}