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| 1 | +//===- TritonExtAutoDiffOpInterfaceImpl.cpp - Interface external model ----===// |
| 2 | +// |
| 3 | +// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions. |
| 4 | +// See https://llvm.org/LICENSE.txt for license information. |
| 5 | +// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception |
| 6 | +// |
| 7 | +//===----------------------------------------------------------------------===// |
| 8 | +// |
| 9 | +// This file contains the external model implementation of the automatic |
| 10 | +// differentiation op interfaces for the MLIR triton_ext dialect. |
| 11 | +// |
| 12 | +//===----------------------------------------------------------------------===// |
| 13 | + |
| 14 | +#include "Enzyme/MLIR/Implementations/CoreDialectsAutoDiffImplementations.h" |
| 15 | +#include "Enzyme/MLIR/Interfaces/AutoDiffOpInterface.h" |
| 16 | +#include "Enzyme/MLIR/Interfaces/GradientUtils.h" |
| 17 | + |
| 18 | +#include "src/enzyme_ad/jax/Dialect/TritonExt/Dialect.h" |
| 19 | +#include "src/enzyme_ad/jax/Implementations/XLADerivatives.h" |
| 20 | + |
| 21 | +using namespace mlir; |
| 22 | +using namespace mlir::enzyme; |
| 23 | +using namespace mlir::enzymexla; |
| 24 | + |
| 25 | +namespace { |
| 26 | + |
| 27 | +// this assumes no tuple in either args or results. |
| 28 | +static std::optional<unsigned> |
| 29 | +findAliasedOperand(ArrayAttr outputOperandAliases, unsigned outputIndex) { |
| 30 | + for (auto attr : outputOperandAliases) { |
| 31 | + auto alias = cast<stablehlo::OutputOperandAliasAttr>(attr); |
| 32 | + if (alias.getOutputTupleIndices()[0] != outputIndex) |
| 33 | + continue; |
| 34 | + assert(alias.getOutputTupleIndices().size() == 1); |
| 35 | + assert(alias.getOperandTupleIndices().empty()); |
| 36 | + return alias.getOperandIndex(); |
| 37 | + } |
| 38 | + return std::nullopt; |
| 39 | +} |
| 40 | + |
| 41 | +class AutoDiffTritonCallFwd |
| 42 | + : public AutoDiffOpInterface::ExternalModel<AutoDiffTritonCallFwd, |
| 43 | + triton_ext::TritonCallOp> { |
| 44 | +public: |
| 45 | + LogicalResult createForwardModeTangent(Operation *orig, OpBuilder &builder, |
| 46 | + MGradientUtils *gutils) const { |
| 47 | + DerivativeMode mode = DerivativeMode::ForwardMode; |
| 48 | + |
| 49 | + auto callOp = cast<triton_ext::TritonCallOp>(orig); |
| 50 | + |
| 51 | + for (auto [i, arg] : llvm::enumerate(callOp.getInputs())) { |
| 52 | + if (!isa<TensorType>(arg.getType())) { |
| 53 | + orig->emitError() |
| 54 | + << "unsupported forward rule of triton kernel call with non array " |
| 55 | + "return at return #" |
| 56 | + << i << " of type " << arg.getType() << "."; |
| 57 | + return failure(); |
| 58 | + } |
| 59 | + } |
| 60 | + |
| 61 | + for (auto [i, res] : llvm::enumerate(callOp->getResults())) { |
| 62 | + if (!isa<TensorType>(res.getType())) { |
| 63 | + orig->emitError() |
| 64 | + << "unsupported forward rule of triton kernel call with non array " |
| 65 | + "return at return #" |
| 66 | + << i << " of type " << res.getType() << "."; |
| 67 | + return failure(); |
| 68 | + } |
| 69 | + } |
| 70 | + |
| 71 | + auto output_operand_aliases = callOp.getOutputOperandAliases(); |
| 72 | + auto operandLayouts = dyn_cast_or_null<ArrayAttr>( |
| 73 | + callOp.getOperandLayouts().value_or(nullptr)); |
| 74 | + auto resultLayouts = dyn_cast_or_null<ArrayAttr>( |
| 75 | + callOp.getResultLayouts().value_or(nullptr)); |
| 76 | + |
| 77 | + Operation *callee = |
| 78 | + SymbolTable::lookupNearestSymbolFrom(callOp, callOp.getFn()); |
| 79 | + auto fn = cast<FunctionOpInterface>(callee); |
| 80 | + |
| 81 | + size_t width = gutils->width; |
| 82 | + |
| 83 | + int numInputs = callOp.getInputs().size(); |
| 84 | + int narg = numInputs + orig->getNumResults(); |
| 85 | + |
| 86 | + std::vector<DIFFE_TYPE> RetActivity; |
| 87 | + std::vector<bool> returnPrimal; |
| 88 | + std::vector<bool> returnShadow; |
| 89 | + |
| 90 | + // Unless there is aliasing, returns values arguments are assumed to |
| 91 | + // appended to the argument list in the triton kernel. |
| 92 | + SmallVector<unsigned> operandIndexMap; |
| 93 | + |
| 94 | + unsigned argCnt = 0; |
| 95 | + |
| 96 | + std::vector<DIFFE_TYPE> ArgActivity; |
| 97 | + for (auto arg : callOp.getInputs()) { |
| 98 | + auto act = gutils->isConstantValue(arg) ? DIFFE_TYPE::CONSTANT |
| 99 | + : DIFFE_TYPE::DUP_ARG; |
| 100 | + operandIndexMap.push_back(argCnt); |
| 101 | + ArgActivity.push_back(act); |
| 102 | + argCnt++; |
| 103 | + if (act == DIFFE_TYPE::DUP_ARG) |
| 104 | + argCnt++; |
| 105 | + } |
| 106 | + |
| 107 | + for (auto [i, res] : llvm::enumerate(callOp.getResults())) { |
| 108 | + auto aliasedOperandIndex = findAliasedOperand(output_operand_aliases, i); |
| 109 | + if (!aliasedOperandIndex.has_value()) { |
| 110 | + auto act = gutils->isConstantValue(res) ? DIFFE_TYPE::CONSTANT |
| 111 | + : DIFFE_TYPE::DUP_ARG; |
| 112 | + ArgActivity.push_back(act); |
| 113 | + } else { |
| 114 | + narg--; |
| 115 | + } |
| 116 | + } |
| 117 | + |
| 118 | + auto type_args = gutils->TA.getAnalyzedTypeInfo(fn); |
| 119 | + |
| 120 | + bool freeMemory = true; |
| 121 | + |
| 122 | + std::vector<bool> volatile_args(narg, false); |
| 123 | + |
| 124 | + auto forwardFn = gutils->Logic.CreateForwardDiff( |
| 125 | + fn, RetActivity, ArgActivity, gutils->TA, returnPrimal, mode, |
| 126 | + freeMemory, width, |
| 127 | + /* addedType */ nullptr, type_args, volatile_args, |
| 128 | + /* augmented */ nullptr, gutils->omp, gutils->postpasses, |
| 129 | + gutils->verifyPostPasses, gutils->strongZero); |
| 130 | + |
| 131 | + SmallVector<Value> fwdArguments; |
| 132 | + SmallVector<Type> returnTypes; |
| 133 | + |
| 134 | + // let's assume the same layout for a value and its shadow. |
| 135 | + SmallVector<Attribute> newOperandLayouts; |
| 136 | + SmallVector<Attribute> newResultLayouts; |
| 137 | + |
| 138 | + unsigned argIdx = 0; |
| 139 | + for (auto &&[arg, act] : llvm::zip(callOp.getInputs(), ArgActivity)) { |
| 140 | + fwdArguments.push_back(gutils->getNewFromOriginal(arg)); |
| 141 | + |
| 142 | + if (operandLayouts) { |
| 143 | + newOperandLayouts.push_back(operandLayouts[argIdx]); |
| 144 | + if (act == DIFFE_TYPE::DUP_ARG) |
| 145 | + newOperandLayouts.push_back(operandLayouts[argIdx]); |
| 146 | + } |
| 147 | + argIdx++; |
| 148 | + |
| 149 | + if (act == DIFFE_TYPE::DUP_ARG) |
| 150 | + fwdArguments.push_back(gutils->invertPointerM(arg, builder)); |
| 151 | + } |
| 152 | + |
| 153 | + SmallVector<Attribute> newOutputOperandAliases; |
| 154 | + |
| 155 | + unsigned naliased = 0; |
| 156 | + for (auto &&[i, res] : llvm::enumerate(callOp->getResults())) { |
| 157 | + auto aliasedOperandIndex = findAliasedOperand(output_operand_aliases, i); |
| 158 | + |
| 159 | + DIFFE_TYPE act; |
| 160 | + if (aliasedOperandIndex.has_value()) { |
| 161 | + naliased++; |
| 162 | + |
| 163 | + act = ArgActivity[*aliasedOperandIndex]; |
| 164 | + |
| 165 | + auto newOperandIndex = operandIndexMap[*aliasedOperandIndex]; |
| 166 | + int64_t newResultIndex = returnTypes.size(); |
| 167 | + newOutputOperandAliases.push_back( |
| 168 | + stablehlo::OutputOperandAliasAttr::get( |
| 169 | + callOp.getContext(), ArrayRef<int64_t>{newResultIndex}, |
| 170 | + newOperandIndex, ArrayRef<int64_t>{})); |
| 171 | + |
| 172 | + if (act == DIFFE_TYPE::DUP_ARG) { |
| 173 | + newOutputOperandAliases.push_back( |
| 174 | + stablehlo::OutputOperandAliasAttr::get( |
| 175 | + callOp.getContext(), ArrayRef<int64_t>{newResultIndex + 1}, |
| 176 | + newOperandIndex + 1, ArrayRef<int64_t>{})); |
| 177 | + } |
| 178 | + } else { |
| 179 | + act = ArgActivity[i - naliased + numInputs]; |
| 180 | + } |
| 181 | + |
| 182 | + if (resultLayouts) { |
| 183 | + newResultLayouts.push_back(resultLayouts[i]); |
| 184 | + if (act == DIFFE_TYPE::DUP_ARG) |
| 185 | + newResultLayouts.push_back(resultLayouts[i]); |
| 186 | + } |
| 187 | + |
| 188 | + returnTypes.push_back(res.getType()); |
| 189 | + if (act == DIFFE_TYPE::DUP_ARG) |
| 190 | + returnTypes.push_back( |
| 191 | + cast<AutoDiffTypeInterface>(res.getType()).getShadowType(width)); |
| 192 | + } |
| 193 | + |
| 194 | + SmallVector<FlatSymbolRefAttr, 2> nestedRefs = { |
| 195 | + FlatSymbolRefAttr::get( |
| 196 | + forwardFn->getParentOfType<mlir::ModuleOp>().getSymNameAttr()), |
| 197 | + FlatSymbolRefAttr::get( |
| 198 | + StringAttr::get(callOp.getContext(), forwardFn.getName()))}; |
| 199 | + auto fnRef = SymbolRefAttr::get( |
| 200 | + callOp.getContext(), |
| 201 | + forwardFn->getParentOfType<triton_ext::TritonModuleOp>().getSymName(), |
| 202 | + nestedRefs); |
| 203 | + |
| 204 | + Value gridx = gutils->getNewFromOriginal(callOp.getGridx()), |
| 205 | + gridy = gutils->getNewFromOriginal(callOp.getGridy()), |
| 206 | + gridz = gutils->getNewFromOriginal(callOp.getGridz()); |
| 207 | + |
| 208 | + Value clusterx = gutils->getNewFromOriginal(callOp.getClusterx()), |
| 209 | + clustery = gutils->getNewFromOriginal(callOp.getClustery()), |
| 210 | + clusterz = gutils->getNewFromOriginal(callOp.getClusterz()); |
| 211 | + |
| 212 | + Attribute newOperandLayoutsAttr = |
| 213 | + operandLayouts ? ArrayAttr::get(callOp.getContext(), newOperandLayouts) |
| 214 | + : nullptr; |
| 215 | + Attribute newResultLayoutsAttr = |
| 216 | + resultLayouts ? ArrayAttr::get(callOp.getContext(), newResultLayouts) |
| 217 | + : nullptr; |
| 218 | + |
| 219 | + auto fwdCallOp = triton_ext::TritonCallOp::create( |
| 220 | + builder, callOp.getLoc(), TypeRange(returnTypes), |
| 221 | + /*fn*/ fnRef, |
| 222 | + |
| 223 | + gridx, gridy, gridz, |
| 224 | + |
| 225 | + clusterx, clustery, clusterz, |
| 226 | + |
| 227 | + ValueRange(fwdArguments), |
| 228 | + /* backendConfig */ StringAttr::get(callOp.getContext(), ""), |
| 229 | + newOperandLayoutsAttr, newResultLayoutsAttr, |
| 230 | + /* argAttrs */ mlir::ArrayAttr::get(callOp.getContext(), {}), |
| 231 | + /* resAttrs */ mlir::ArrayAttr::get(callOp.getContext(), {}), |
| 232 | + ArrayAttr::get(callOp.getContext(), newOutputOperandAliases), |
| 233 | + /* xla_side_effect_free */ nullptr); |
| 234 | + |
| 235 | + SmallVector<Value> primals; |
| 236 | + primals.reserve(callOp->getNumResults()); |
| 237 | + |
| 238 | + naliased = 0; |
| 239 | + int fwdIndex = 0; |
| 240 | + for (auto &&[i, ret] : llvm::enumerate(callOp.getResults())) { |
| 241 | + auto fwdRet = fwdCallOp.getResult(fwdIndex); |
| 242 | + primals.push_back(fwdRet); |
| 243 | + |
| 244 | + fwdIndex++; |
| 245 | + |
| 246 | + auto aliasedOperandIndex = findAliasedOperand(output_operand_aliases, i); |
| 247 | + |
| 248 | + DIFFE_TYPE act; |
| 249 | + if (aliasedOperandIndex.has_value()) { |
| 250 | + act = ArgActivity[*aliasedOperandIndex]; |
| 251 | + naliased++; |
| 252 | + } else { |
| 253 | + act = ArgActivity[i - naliased + numInputs]; |
| 254 | + } |
| 255 | + |
| 256 | + if (act == DIFFE_TYPE::DUP_ARG) { |
| 257 | + gutils->setDiffe(ret, fwdCallOp.getResult(fwdIndex), builder); |
| 258 | + fwdIndex++; |
| 259 | + } |
| 260 | + } |
| 261 | + |
| 262 | + auto newOp = gutils->getNewFromOriginal(orig); |
| 263 | + gutils->replaceOrigOpWith(orig, primals); |
| 264 | + gutils->erase(newOp); |
| 265 | + |
| 266 | + return success(); |
| 267 | + } |
| 268 | +}; |
| 269 | + |
| 270 | +} // end anonymous namespace |
| 271 | + |
| 272 | +void mlir::enzyme::registerTritonExtDialectAutoDiffInterface( |
| 273 | + mlir::DialectRegistry ®istry) { |
| 274 | + registry.addExtension(+[](MLIRContext *context, |
| 275 | + triton_ext::TritonExtDialect *) { |
| 276 | + triton_ext::TritonCallOp::attachInterface<AutoDiffTritonCallFwd>(*context); |
| 277 | + }); |
| 278 | +} |
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