[Triton-MLIR][BACKEND] decouple the dot code (#921)

This PR
- apply minimal modification to decouple the Dot helper related code
from TritonGPUToLLVM.cpp to a separate local header file to make it
easier to share some data structure for Dot
- add some patch necessary for transA and transB
- add some patch necessary for MMA v1 execution in backend
This commit is contained in:
Yan Chunwei
2022-11-28 13:30:27 +08:00
committed by GitHub
parent 630dc315ee
commit 04ec5deb41
3 changed files with 2130 additions and 1987 deletions

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#ifndef TRITON_CONVERSION_TRITONGPU_TO_LLVM_UTILITY_H
#define TRITON_CONVERSION_TRITONGPU_TO_LLVM_UTILITY_H
#include "mlir/Analysis/SliceAnalysis.h"
#include "mlir/Conversion/ArithmeticToLLVM/ArithmeticToLLVM.h"
#include "mlir/Conversion/GPUToNVVM/GPUToNVVMPass.h"
#include "mlir/Conversion/LLVMCommon/LoweringOptions.h"
#include "mlir/Conversion/LLVMCommon/Pattern.h"
#include "mlir/Conversion/MathToLLVM/MathToLLVM.h"
#include "mlir/Conversion/SCFToStandard/SCFToStandard.h"
#include "mlir/Conversion/StandardToLLVM/ConvertStandardToLLVM.h"
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
#include "mlir/Dialect/GPU/GPUDialect.h"
#include "mlir/Dialect/LLVMIR/LLVMDialect.h"
#include "mlir/Dialect/Tensor/IR/Tensor.h"
#include "mlir/IR/Matchers.h"
#include "mlir/IR/TypeUtilities.h"
#include "mlir/Transforms/DialectConversion.h"
#include "triton/Analysis/Allocation.h"
#include "triton/Analysis/AxisInfo.h"
#include "triton/Analysis/Membar.h"
#include "triton/Analysis/Utility.h"
#include "triton/Conversion/MLIRTypes.h"
#include "triton/Conversion/TritonGPUToLLVM/PtxAsmFormat.h"
#include "triton/Conversion/TritonToTritonGPU/TritonToTritonGPU.h"
#include "triton/Dialect/Triton/IR/Dialect.h"
#include "triton/Dialect/TritonGPU/IR/Dialect.h"
#include "llvm/Support/Format.h"
#include "llvm/Support/FormatVariadic.h"
#include <memory>
#include <numeric>
// Shortcuts for some commonly used LLVM ops to keep code simple and intuitive
#define inttoptr(...) rewriter.create<LLVM::IntToPtrOp>(loc, __VA_ARGS__)
#define ptrtoint(...) rewriter.create<LLVM::PtrToIntOp>(loc, __VA_ARGS__)
#define zext(...) rewriter.create<LLVM::ZExtOp>(loc, __VA_ARGS__)
#define udiv(...) rewriter.create<LLVM::UDivOp>(loc, __VA_ARGS__)
#define urem(...) rewriter.create<LLVM::URemOp>(loc, __VA_ARGS__)
#define add(...) rewriter.create<LLVM::AddOp>(loc, __VA_ARGS__)
#define sub(...) rewriter.create<LLVM::SubOp>(loc, __VA_ARGS__)
#define fadd(...) rewriter.create<LLVM::FAddOp>(loc, __VA_ARGS__)
#define mul(...) rewriter.create<LLVM::MulOp>(loc, __VA_ARGS__)
#define smax(...) rewriter.create<LLVM::SMaxOp>(loc, __VA_ARGS__)
#define umax(...) rewriter.create<LLVM::UMaxOp>(loc, __VA_ARGS__)
#define fmax(...) rewriter.create<LLVM::MaxNumOp>(loc, __VA_ARGS__)
#define smin(...) rewriter.create<LLVM::SMinOp>(loc, __VA_ARGS__)
#define umin(...) rewriter.create<LLVM::UMinOp>(loc, __VA_ARGS__)
#define fmin(...) rewriter.create<LLVM::MinNumOp>(loc, __VA_ARGS__)
#define and_(...) rewriter.create<LLVM::AndOp>(loc, __VA_ARGS__)
#define xor_(...) rewriter.create<LLVM::XOrOp>(loc, __VA_ARGS__)
#define bitcast(val__, type__) \
rewriter.create<LLVM::BitcastOp>(loc, type__, val__)
#define gep(...) rewriter.create<LLVM::GEPOp>(loc, __VA_ARGS__)
#define ptr_ty(...) LLVM::LLVMPointerType::get(__VA_ARGS__)
#define insert_val(...) rewriter.create<LLVM::InsertValueOp>(loc, __VA_ARGS__)
#define extract_val(...) rewriter.create<LLVM::ExtractValueOp>(loc, __VA_ARGS__)
#define insert_element(...) \
rewriter.create<LLVM::InsertElementOp>(loc, __VA_ARGS__)
#define extract_element(...) \
rewriter.create<LLVM::ExtractElementOp>(loc, __VA_ARGS__)
#define load(...) rewriter.create<LLVM::LoadOp>(loc, __VA_ARGS__)
#define store(val, ptr) rewriter.create<LLVM::StoreOp>(loc, val, ptr)
#define icmp_eq(...) \
rewriter.create<LLVM::ICmpOp>(loc, LLVM::ICmpPredicate::eq, __VA_ARGS__)
#define icmp_ne(...) \
rewriter.create<LLVM::ICmpOp>(loc, LLVM::ICmpPredicate::ne, __VA_ARGS__)
#define icmp_slt(...) \
rewriter.create<LLVM::ICmpOp>(loc, LLVM::ICmpPredicate::slt, __VA_ARGS__)
#define select(...) rewriter.create<LLVM::SelectOp>(loc, __VA_ARGS__)
#define address_of(...) rewriter.create<LLVM::AddressOfOp>(loc, __VA_ARGS__)
#define barrier() rewriter.create<mlir::gpu::BarrierOp>(loc)
#define undef(...) rewriter.create<LLVM::UndefOp>(loc, __VA_ARGS__)
#define i32_ty rewriter.getIntegerType(32)
#define ui32_ty rewriter.getIntegerType(32, false)
#define f16_ty rewriter.getF16Type()
#define bf16_ty rewriter.getBF16Type()
#define i8_ty rewriter.getIntegerType(8)
#define f32_ty rewriter.getF32Type()
#define f64_ty rewriter.getF64Type()
#define vec_ty(type, num) VectorType::get(num, type)
#define f32_val(...) LLVM::createConstantF32(loc, rewriter, __VA_ARGS__)
#define f64_val(...) LLVM::createConstantF64(loc, rewriter, __VA_ARGS__)
#define void_ty(ctx) LLVM::LLVMVoidType::get(ctx)
#define struct_ty(...) LLVM::LLVMStructType::getLiteral(ctx, __VA_ARGS__)
// Creator for constant
#define i32_val(...) LLVM::createConstantI32(loc, rewriter, __VA_ARGS__)
#define int_val(width, val) \
LLVM::createLLVMIntegerConstant(rewriter, loc, width, val)
#define idx_val(...) \
LLVM::createIndexConstant(rewriter, loc, this->getTypeConverter(), \
__VA_ARGS__)
namespace mlir {
namespace LLVM {
static Value getStructFromElements(Location loc, ValueRange resultVals,
ConversionPatternRewriter &rewriter,
Type structType) {
if (!structType.isa<LLVM::LLVMStructType>()) {
return *resultVals.begin();
}
Value llvmStruct = rewriter.create<LLVM::UndefOp>(loc, structType);
for (const auto &v : llvm::enumerate(resultVals)) {
assert(v.value() && "can not insert null values");
llvmStruct = insert_val(structType, llvmStruct, v.value(),
rewriter.getI64ArrayAttr(v.index()));
}
return llvmStruct;
}
static SmallVector<Value>
getElementsFromStruct(Location loc, Value llvmStruct,
ConversionPatternRewriter &rewriter) {
if (llvmStruct.getType().isIntOrIndexOrFloat() ||
llvmStruct.getType().isa<triton::PointerType>() ||
llvmStruct.getType().isa<LLVM::LLVMPointerType>())
return {llvmStruct};
ArrayRef<Type> types =
llvmStruct.getType().cast<LLVM::LLVMStructType>().getBody();
SmallVector<Value> results(types.size());
for (unsigned i = 0; i < types.size(); ++i) {
Type type = types[i];
results[i] = extract_val(type, llvmStruct, rewriter.getI64ArrayAttr(i));
}
return results;
}
namespace {
using namespace mlir::triton;
// Create a 32-bit integer constant.
Value createConstantI32(Location loc, PatternRewriter &rewriter, int32_t v) {
auto i32ty = rewriter.getIntegerType(32);
return rewriter.create<LLVM::ConstantOp>(loc, i32ty,
IntegerAttr::get(i32ty, v));
}
Value createConstantF32(Location loc, PatternRewriter &rewriter, float v) {
auto type = type::f32Ty(rewriter.getContext());
return rewriter.create<LLVM::ConstantOp>(loc, type,
rewriter.getF32FloatAttr(v));
}
Value createConstantF64(Location loc, PatternRewriter &rewriter, float v) {
auto type = type::f64Ty(rewriter.getContext());
return rewriter.create<LLVM::ConstantOp>(loc, type,
rewriter.getF64FloatAttr(v));
}
// Create an index type constant.
Value createIndexConstant(OpBuilder &builder, Location loc,
TypeConverter *converter, int64_t value) {
Type ty = converter->convertType(builder.getIndexType());
return builder.create<LLVM::ConstantOp>(loc, ty,
builder.getIntegerAttr(ty, value));
}
// Create an integer constant of \param width bits.
Value createLLVMIntegerConstant(OpBuilder &builder, Location loc, short width,
int64_t value) {
Type ty = builder.getIntegerType(width);
return builder.create<LLVM::ConstantOp>(loc, ty,
builder.getIntegerAttr(ty, value));
}
} // namespace
/// Helper function to get strides from a given shape and its order
static SmallVector<Value>
getStridesFromShapeAndOrder(ArrayRef<int64_t> shape, ArrayRef<unsigned> order,
Location loc, ConversionPatternRewriter &rewriter) {
auto rank = shape.size();
SmallVector<Value> strides(rank);
auto stride = 1;
for (auto idx : order) {
strides[idx] = i32_val(stride);
stride *= shape[idx];
}
return strides;
}
struct SharedMemoryObject {
Value base; // i32 ptr. The start address of the shared memory object.
// We need to store strides as Values but not integers because the
// extract_slice instruction can take a slice at artibary offsets.
// Take $a[16:32, 16:32] as an example, though we know the stride of $a[0] is
// 32, we need to let the instruction that uses $a to be aware of that.
// Otherwise, when we use $a, we only know that the shape of $a is 16x16. If
// we store strides into an attribute array of integers, the information
// cannot pass through block argument assignment because attributes are
// associated with operations but not Values.
// TODO(Keren): We may need to figure out a way to store strides as integers
// if we want to support more optimizations.
SmallVector<Value>
strides; // i32 int. The strides of the shared memory object.
SmallVector<Value> offsets; // i32 int. The offsets of the shared memory
// objects from the originally allocated object.
SharedMemoryObject(Value base, ArrayRef<Value> strides,
ArrayRef<Value> offsets)
: base(base), strides(strides.begin(), strides.end()),
offsets(offsets.begin(), offsets.end()) {}
SharedMemoryObject(Value base, ArrayRef<int64_t> shape,
ArrayRef<unsigned> order, Location loc,
ConversionPatternRewriter &rewriter)
: base(base) {
strides = getStridesFromShapeAndOrder(shape, order, loc, rewriter);
for (auto idx : order) {
offsets.emplace_back(i32_val(0));
}
}
SmallVector<Value> getElems() const {
SmallVector<Value> elems;
elems.push_back(base);
elems.append(strides.begin(), strides.end());
elems.append(offsets.begin(), offsets.end());
return elems;
}
SmallVector<Type> getTypes() const {
SmallVector<Type> types;
types.push_back(base.getType());
types.append(strides.size(), IntegerType::get(base.getContext(), 32));
types.append(offsets.size(), IntegerType::get(base.getContext(), 32));
return types;
}
Value getCSwizzleOffset(int order) const {
assert(order >= 0 && order < strides.size());
return offsets[order];
}
Value getBaseBeforeSwizzle(int order, Location loc,
ConversionPatternRewriter &rewriter) const {
Value cSwizzleOffset = getCSwizzleOffset(order);
Value offset = sub(i32_val(0), cSwizzleOffset);
Type type = base.getType();
return gep(type, base, offset);
}
};
static SharedMemoryObject
getSharedMemoryObjectFromStruct(Location loc, Value llvmStruct,
ConversionPatternRewriter &rewriter) {
auto elems = getElementsFromStruct(loc, llvmStruct, rewriter);
auto rank = (elems.size() - 1) / 2;
return {/*base=*/elems[0],
/*strides=*/{elems.begin() + 1, elems.begin() + 1 + rank},
/*offsets=*/{elems.begin() + 1 + rank, elems.end()}};
}
} // namespace LLVM
} // namespace mlir
#endif