f48ce52c4c
This prevents blocking propagation when converting between scalar and vector<1> Differential Revision: https://reviews.llvm.org/D129782
982 lines
40 KiB
C++
982 lines
40 KiB
C++
//===- VectorDistribute.cpp - patterns to do vector distribution ----------===//
|
|
//
|
|
// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
|
|
// See https://llvm.org/LICENSE.txt for license information.
|
|
// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
|
|
//
|
|
//===----------------------------------------------------------------------===//
|
|
|
|
#include "mlir/Dialect/Affine/IR/AffineOps.h"
|
|
#include "mlir/Dialect/Arithmetic/IR/Arithmetic.h"
|
|
#include "mlir/Dialect/MemRef/IR/MemRef.h"
|
|
#include "mlir/Dialect/SCF/IR/SCF.h"
|
|
#include "mlir/Dialect/Vector/Transforms/VectorDistribution.h"
|
|
#include "mlir/Dialect/Vector/Utils/VectorUtils.h"
|
|
#include "mlir/IR/BlockAndValueMapping.h"
|
|
#include "mlir/Transforms/SideEffectUtils.h"
|
|
#include "llvm/ADT/SetVector.h"
|
|
#include <utility>
|
|
|
|
using namespace mlir;
|
|
using namespace mlir::vector;
|
|
|
|
static LogicalResult
|
|
rewriteWarpOpToScfFor(RewriterBase &rewriter, WarpExecuteOnLane0Op warpOp,
|
|
const WarpExecuteOnLane0LoweringOptions &options) {
|
|
assert(warpOp.getBodyRegion().hasOneBlock() &&
|
|
"expected WarpOp with single block");
|
|
Block *warpOpBody = &warpOp.getBodyRegion().front();
|
|
Location loc = warpOp.getLoc();
|
|
|
|
// Passed all checks. Start rewriting.
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
rewriter.setInsertionPoint(warpOp);
|
|
|
|
// Create scf.if op.
|
|
Value c0 = rewriter.create<arith::ConstantIndexOp>(loc, 0);
|
|
Value isLane0 = rewriter.create<arith::CmpIOp>(loc, arith::CmpIPredicate::eq,
|
|
warpOp.getLaneid(), c0);
|
|
auto ifOp = rewriter.create<scf::IfOp>(loc, isLane0,
|
|
/*withElseRegion=*/false);
|
|
rewriter.eraseOp(ifOp.thenBlock()->getTerminator());
|
|
|
|
// Store vectors that are defined outside of warpOp into the scratch pad
|
|
// buffer.
|
|
SmallVector<Value> bbArgReplacements;
|
|
for (const auto &it : llvm::enumerate(warpOp.getArgs())) {
|
|
Value val = it.value();
|
|
Value bbArg = warpOpBody->getArgument(it.index());
|
|
|
|
rewriter.setInsertionPoint(ifOp);
|
|
Value buffer =
|
|
options.warpAllocationFn(loc, rewriter, warpOp, bbArg.getType());
|
|
|
|
// Store arg vector into buffer.
|
|
rewriter.setInsertionPoint(ifOp);
|
|
auto vectorType = val.getType().cast<VectorType>();
|
|
int64_t storeSize = vectorType.getShape()[0];
|
|
Value storeOffset = rewriter.create<arith::MulIOp>(
|
|
loc, warpOp.getLaneid(),
|
|
rewriter.create<arith::ConstantIndexOp>(loc, storeSize));
|
|
rewriter.create<vector::StoreOp>(loc, val, buffer, storeOffset);
|
|
|
|
// Load bbArg vector from buffer.
|
|
rewriter.setInsertionPointToStart(ifOp.thenBlock());
|
|
auto bbArgType = bbArg.getType().cast<VectorType>();
|
|
Value loadOp = rewriter.create<vector::LoadOp>(loc, bbArgType, buffer, c0);
|
|
bbArgReplacements.push_back(loadOp);
|
|
}
|
|
|
|
// Insert sync after all the stores and before all the loads.
|
|
if (!warpOp.getArgs().empty()) {
|
|
rewriter.setInsertionPoint(ifOp);
|
|
options.warpSyncronizationFn(loc, rewriter, warpOp);
|
|
}
|
|
|
|
// Move body of warpOp to ifOp.
|
|
rewriter.mergeBlocks(warpOpBody, ifOp.thenBlock(), bbArgReplacements);
|
|
|
|
// Rewrite terminator and compute replacements of WarpOp results.
|
|
SmallVector<Value> replacements;
|
|
auto yieldOp = cast<vector::YieldOp>(ifOp.thenBlock()->getTerminator());
|
|
Location yieldLoc = yieldOp.getLoc();
|
|
for (const auto &it : llvm::enumerate(yieldOp.operands())) {
|
|
Value val = it.value();
|
|
Type resultType = warpOp->getResultTypes()[it.index()];
|
|
rewriter.setInsertionPoint(ifOp);
|
|
Value buffer =
|
|
options.warpAllocationFn(loc, rewriter, warpOp, val.getType());
|
|
|
|
// Store yielded value into buffer.
|
|
rewriter.setInsertionPoint(yieldOp);
|
|
if (val.getType().isa<VectorType>())
|
|
rewriter.create<vector::StoreOp>(yieldLoc, val, buffer, c0);
|
|
else
|
|
rewriter.create<memref::StoreOp>(yieldLoc, val, buffer, c0);
|
|
|
|
// Load value from buffer (after warpOp).
|
|
rewriter.setInsertionPointAfter(ifOp);
|
|
if (resultType == val.getType()) {
|
|
// Result type and yielded value type are the same. This is a broadcast.
|
|
// E.g.:
|
|
// %r = vector.warp_execute_on_lane_0(...) -> (f32) {
|
|
// vector.yield %cst : f32
|
|
// }
|
|
// Both types are f32. The constant %cst is broadcasted to all lanes.
|
|
// This is described in more detail in the documentation of the op.
|
|
Value loadOp = rewriter.create<memref::LoadOp>(loc, buffer, c0);
|
|
replacements.push_back(loadOp);
|
|
} else {
|
|
auto loadedVectorType = resultType.cast<VectorType>();
|
|
int64_t loadSize = loadedVectorType.getShape()[0];
|
|
|
|
// loadOffset = laneid * loadSize
|
|
Value loadOffset = rewriter.create<arith::MulIOp>(
|
|
loc, warpOp.getLaneid(),
|
|
rewriter.create<arith::ConstantIndexOp>(loc, loadSize));
|
|
Value loadOp = rewriter.create<vector::LoadOp>(loc, loadedVectorType,
|
|
buffer, loadOffset);
|
|
replacements.push_back(loadOp);
|
|
}
|
|
}
|
|
|
|
// Insert sync after all the stores and before all the loads.
|
|
if (!yieldOp.operands().empty()) {
|
|
rewriter.setInsertionPointAfter(ifOp);
|
|
options.warpSyncronizationFn(loc, rewriter, warpOp);
|
|
}
|
|
|
|
// Delete terminator and add empty scf.yield.
|
|
rewriter.eraseOp(yieldOp);
|
|
rewriter.setInsertionPointToEnd(ifOp.thenBlock());
|
|
rewriter.create<scf::YieldOp>(yieldLoc);
|
|
|
|
// Compute replacements for WarpOp results.
|
|
rewriter.replaceOp(warpOp, replacements);
|
|
|
|
return success();
|
|
}
|
|
|
|
/// Helper to create a new WarpExecuteOnLane0Op with different signature.
|
|
static WarpExecuteOnLane0Op moveRegionToNewWarpOpAndReplaceReturns(
|
|
RewriterBase &rewriter, WarpExecuteOnLane0Op warpOp,
|
|
ValueRange newYieldedValues, TypeRange newReturnTypes) {
|
|
// Create a new op before the existing one, with the extra operands.
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
rewriter.setInsertionPoint(warpOp);
|
|
auto newWarpOp = rewriter.create<WarpExecuteOnLane0Op>(
|
|
warpOp.getLoc(), newReturnTypes, warpOp.getLaneid(), warpOp.getWarpSize(),
|
|
warpOp.getArgs(), warpOp.getBody()->getArgumentTypes());
|
|
|
|
Region &opBody = warpOp.getBodyRegion();
|
|
Region &newOpBody = newWarpOp.getBodyRegion();
|
|
Block &newOpFirstBlock = newOpBody.front();
|
|
rewriter.inlineRegionBefore(opBody, newOpBody, newOpBody.begin());
|
|
rewriter.eraseBlock(&newOpFirstBlock);
|
|
assert(newWarpOp.getWarpRegion().hasOneBlock() &&
|
|
"expected WarpOp with single block");
|
|
|
|
auto yield =
|
|
cast<vector::YieldOp>(newOpBody.getBlocks().begin()->getTerminator());
|
|
|
|
rewriter.updateRootInPlace(
|
|
yield, [&]() { yield.operandsMutable().assign(newYieldedValues); });
|
|
return newWarpOp;
|
|
}
|
|
|
|
/// Helper to create a new WarpExecuteOnLane0Op region with extra outputs.
|
|
/// `indices` return the index of each new output.
|
|
static WarpExecuteOnLane0Op moveRegionToNewWarpOpAndAppendReturns(
|
|
RewriterBase &rewriter, WarpExecuteOnLane0Op warpOp,
|
|
ValueRange newYieldedValues, TypeRange newReturnTypes,
|
|
llvm::SmallVector<size_t> &indices) {
|
|
SmallVector<Type> types(warpOp.getResultTypes().begin(),
|
|
warpOp.getResultTypes().end());
|
|
auto yield = cast<vector::YieldOp>(
|
|
warpOp.getBodyRegion().getBlocks().begin()->getTerminator());
|
|
llvm::SmallSetVector<Value, 32> yieldValues(yield.getOperands().begin(),
|
|
yield.getOperands().end());
|
|
for (auto newRet : llvm::zip(newYieldedValues, newReturnTypes)) {
|
|
if (yieldValues.insert(std::get<0>(newRet))) {
|
|
types.push_back(std::get<1>(newRet));
|
|
indices.push_back(yieldValues.size() - 1);
|
|
} else {
|
|
// If the value already exit the region don't create a new output.
|
|
for (auto &yieldOperand : llvm::enumerate(yieldValues.getArrayRef())) {
|
|
if (yieldOperand.value() == std::get<0>(newRet)) {
|
|
indices.push_back(yieldOperand.index());
|
|
break;
|
|
}
|
|
}
|
|
}
|
|
}
|
|
yieldValues.insert(newYieldedValues.begin(), newYieldedValues.end());
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndReplaceReturns(
|
|
rewriter, warpOp, yieldValues.getArrayRef(), types);
|
|
rewriter.replaceOp(warpOp,
|
|
newWarpOp.getResults().take_front(warpOp.getNumResults()));
|
|
return newWarpOp;
|
|
}
|
|
|
|
/// Helper to know if an op can be hoisted out of the region.
|
|
static bool canBeHoisted(Operation *op,
|
|
function_ref<bool(Value)> definedOutside) {
|
|
return llvm::all_of(op->getOperands(), definedOutside) &&
|
|
isSideEffectFree(op) && op->getNumRegions() == 0;
|
|
}
|
|
|
|
/// Return a value yielded by `warpOp` which statifies the filter lamdba
|
|
/// condition and is not dead.
|
|
static OpOperand *getWarpResult(WarpExecuteOnLane0Op warpOp,
|
|
std::function<bool(Operation *)> fn) {
|
|
auto yield = cast<vector::YieldOp>(
|
|
warpOp.getBodyRegion().getBlocks().begin()->getTerminator());
|
|
for (OpOperand &yieldOperand : yield->getOpOperands()) {
|
|
Value yieldValues = yieldOperand.get();
|
|
Operation *definedOp = yieldValues.getDefiningOp();
|
|
if (definedOp && fn(definedOp)) {
|
|
if (!warpOp.getResult(yieldOperand.getOperandNumber()).use_empty())
|
|
return &yieldOperand;
|
|
}
|
|
}
|
|
return {};
|
|
}
|
|
|
|
// Clones `op` into a new operation that takes `operands` and returns
|
|
// `resultTypes`.
|
|
static Operation *cloneOpWithOperandsAndTypes(RewriterBase &rewriter,
|
|
Location loc, Operation *op,
|
|
ArrayRef<Value> operands,
|
|
ArrayRef<Type> resultTypes) {
|
|
OperationState res(loc, op->getName().getStringRef(), operands, resultTypes,
|
|
op->getAttrs());
|
|
return rewriter.create(res);
|
|
}
|
|
|
|
/// Currently the distribution map is implicit based on the vector shape. In the
|
|
/// future it will be part of the op.
|
|
/// Example:
|
|
/// ```
|
|
/// %0 = vector.warp_execute_on_lane_0(%arg0) -> (vector<1x16x2xf32>) {
|
|
/// ...
|
|
/// vector.yield %3 : vector<32x16x64xf32>
|
|
/// }
|
|
/// ```
|
|
/// Would have an implicit map of:
|
|
/// `(d0, d1, d2) -> (d0, d2)`
|
|
static AffineMap calculateImplicitMap(Value yield, Value ret) {
|
|
auto srcType = yield.getType().cast<VectorType>();
|
|
auto dstType = ret.getType().cast<VectorType>();
|
|
SmallVector<AffineExpr> perm;
|
|
// Check which dimensions of the yield value are different than the dimensions
|
|
// of the result to know the distributed dimensions. Then associate each
|
|
// distributed dimension to an ID in order.
|
|
for (unsigned i = 0, e = srcType.getRank(); i < e; i++) {
|
|
if (srcType.getDimSize(i) != dstType.getDimSize(i))
|
|
perm.push_back(getAffineDimExpr(i, yield.getContext()));
|
|
}
|
|
auto map = AffineMap::get(srcType.getRank(), 0, perm, yield.getContext());
|
|
return map;
|
|
}
|
|
|
|
namespace {
|
|
|
|
struct WarpOpToScfForPattern : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
WarpOpToScfForPattern(MLIRContext *context,
|
|
const WarpExecuteOnLane0LoweringOptions &options,
|
|
PatternBenefit benefit = 1)
|
|
: OpRewritePattern<WarpExecuteOnLane0Op>(context, benefit),
|
|
options(options) {}
|
|
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
return rewriteWarpOpToScfFor(rewriter, warpOp, options);
|
|
}
|
|
|
|
private:
|
|
const WarpExecuteOnLane0LoweringOptions &options;
|
|
};
|
|
|
|
/// Clone `writeOp` assumed to be nested under `warpOp` into a new warp execute
|
|
/// op with the proper return type.
|
|
/// The new write op is updated to write the result of the new warp execute op.
|
|
/// The old `writeOp` is deleted.
|
|
static vector::TransferWriteOp cloneWriteOp(RewriterBase &rewriter,
|
|
WarpExecuteOnLane0Op warpOp,
|
|
vector::TransferWriteOp writeOp,
|
|
VectorType targetType) {
|
|
assert(writeOp->getParentOp() == warpOp &&
|
|
"write must be nested immediately under warp");
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, ValueRange{{writeOp.getVector()}},
|
|
TypeRange{targetType}, newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
auto newWriteOp =
|
|
cast<vector::TransferWriteOp>(rewriter.clone(*writeOp.getOperation()));
|
|
rewriter.eraseOp(writeOp);
|
|
newWriteOp.getVectorMutable().assign(newWarpOp.getResult(newRetIndices[0]));
|
|
return newWriteOp;
|
|
}
|
|
|
|
/// Distribute transfer_write ops based on the affine map returned by
|
|
/// `distributionMapFn`.
|
|
/// Example:
|
|
/// ```
|
|
/// %0 = vector.warp_execute_on_lane_0(%id){
|
|
/// ...
|
|
/// vector.transfer_write %v, %A[%c0] : vector<32xf32>, memref<128xf32>
|
|
/// vector.yield
|
|
/// }
|
|
/// ```
|
|
/// To
|
|
/// ```
|
|
/// %r:3 = vector.warp_execute_on_lane_0(%id) -> (vector<1xf32>) {
|
|
/// ...
|
|
/// vector.yield %v : vector<32xf32>
|
|
/// }
|
|
/// vector.transfer_write %v, %A[%id] : vector<1xf32>, memref<128xf32>
|
|
struct WarpOpTransferWrite : public OpRewritePattern<vector::TransferWriteOp> {
|
|
WarpOpTransferWrite(MLIRContext *ctx, DistributionMapFn fn,
|
|
PatternBenefit b = 1)
|
|
: OpRewritePattern<vector::TransferWriteOp>(ctx, b),
|
|
distributionMapFn(std::move(fn)) {}
|
|
|
|
/// Distribute the TransferWriteOp. Only 1D distributions and vector dims that
|
|
/// are multiples of the distribution ratio are supported at the moment.
|
|
LogicalResult tryDistributeOp(RewriterBase &rewriter,
|
|
vector::TransferWriteOp writeOp,
|
|
WarpExecuteOnLane0Op warpOp) const {
|
|
VectorType writtenVectorType = writeOp.getVectorType();
|
|
|
|
// 1. If the write is 0-D, we just clone it into a new WarpExecuteOnLane0Op
|
|
// to separate it from the rest.
|
|
if (writtenVectorType.getRank() == 0)
|
|
return failure();
|
|
|
|
// 2. Compute the distribution map.
|
|
AffineMap map = distributionMapFn(writeOp);
|
|
if (map.getNumResults() != 1)
|
|
return writeOp->emitError("multi-dim distribution not implemented yet");
|
|
|
|
// 3. Compute the targetType using the distribution map.
|
|
SmallVector<int64_t> targetShape(writtenVectorType.getShape().begin(),
|
|
writtenVectorType.getShape().end());
|
|
for (unsigned i = 0, e = map.getNumResults(); i < e; i++) {
|
|
unsigned position = map.getDimPosition(i);
|
|
if (targetShape[position] % warpOp.getWarpSize() != 0)
|
|
return failure();
|
|
targetShape[position] = targetShape[position] / warpOp.getWarpSize();
|
|
}
|
|
VectorType targetType =
|
|
VectorType::get(targetShape, writtenVectorType.getElementType());
|
|
|
|
// 4. clone the write into a new WarpExecuteOnLane0Op to separate it from
|
|
// the rest.
|
|
vector::TransferWriteOp newWriteOp =
|
|
cloneWriteOp(rewriter, warpOp, writeOp, targetType);
|
|
|
|
// 5. Reindex the write using the distribution map.
|
|
auto newWarpOp =
|
|
newWriteOp.getVector().getDefiningOp<WarpExecuteOnLane0Op>();
|
|
rewriter.setInsertionPoint(newWriteOp);
|
|
AffineMap indexMap = map.compose(newWriteOp.getPermutationMap());
|
|
Location loc = newWriteOp.getLoc();
|
|
SmallVector<Value> indices(newWriteOp.getIndices().begin(),
|
|
newWriteOp.getIndices().end());
|
|
for (auto it : llvm::zip(indexMap.getResults(), map.getResults())) {
|
|
AffineExpr d0, d1;
|
|
bindDims(newWarpOp.getContext(), d0, d1);
|
|
auto indexExpr = std::get<0>(it).dyn_cast<AffineDimExpr>();
|
|
if (!indexExpr)
|
|
continue;
|
|
unsigned indexPos = indexExpr.getPosition();
|
|
unsigned vectorPos = std::get<1>(it).cast<AffineDimExpr>().getPosition();
|
|
auto scale = rewriter.getAffineConstantExpr(targetShape[vectorPos]);
|
|
indices[indexPos] =
|
|
makeComposedAffineApply(rewriter, loc, d0 + scale * d1,
|
|
{indices[indexPos], newWarpOp.getLaneid()});
|
|
}
|
|
newWriteOp.getIndicesMutable().assign(indices);
|
|
|
|
return success();
|
|
}
|
|
|
|
/// Extract TransferWriteOps of vector<1x> into a separate warp op.
|
|
LogicalResult tryExtractOp(RewriterBase &rewriter,
|
|
vector::TransferWriteOp writeOp,
|
|
WarpExecuteOnLane0Op warpOp) const {
|
|
Location loc = writeOp.getLoc();
|
|
VectorType vecType = writeOp.getVectorType();
|
|
|
|
// Only sink out vector of 1 element for now to not serialize large vector
|
|
// store. This can later be controlled by user.
|
|
if (vecType.getNumElements() != 1)
|
|
return failure();
|
|
|
|
// Do not process warp ops that contain only TransferWriteOps.
|
|
if (llvm::all_of(warpOp.getOps(), [](Operation &op) {
|
|
return isa<vector::TransferWriteOp, vector::YieldOp>(&op);
|
|
}))
|
|
return failure();
|
|
|
|
SmallVector<Value> yieldValues = {writeOp.getVector()};
|
|
SmallVector<Type> retTypes = {vecType};
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, yieldValues, retTypes, newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
|
|
// Create a second warp op that contains only writeOp.
|
|
auto secondWarpOp = rewriter.create<WarpExecuteOnLane0Op>(
|
|
loc, TypeRange(), newWarpOp.getLaneid(), newWarpOp.getWarpSize());
|
|
Block &body = secondWarpOp.getBodyRegion().front();
|
|
rewriter.setInsertionPointToStart(&body);
|
|
auto newWriteOp =
|
|
cast<vector::TransferWriteOp>(rewriter.clone(*writeOp.getOperation()));
|
|
newWriteOp.getVectorMutable().assign(newWarpOp.getResult(newRetIndices[0]));
|
|
rewriter.eraseOp(writeOp);
|
|
rewriter.create<vector::YieldOp>(newWarpOp.getLoc());
|
|
return success();
|
|
}
|
|
|
|
LogicalResult matchAndRewrite(vector::TransferWriteOp writeOp,
|
|
PatternRewriter &rewriter) const override {
|
|
// Ops with mask not supported yet.
|
|
if (writeOp.getMask())
|
|
return failure();
|
|
|
|
auto warpOp = dyn_cast<WarpExecuteOnLane0Op>(writeOp->getParentOp());
|
|
if (!warpOp)
|
|
return failure();
|
|
|
|
// There must be no op with a side effect after writeOp.
|
|
Operation *nextOp = writeOp.getOperation();
|
|
while ((nextOp = nextOp->getNextNode()))
|
|
if (!isSideEffectFree(nextOp))
|
|
return failure();
|
|
|
|
if (!llvm::all_of(writeOp->getOperands(), [&](Value value) {
|
|
return writeOp.getVector() == value ||
|
|
warpOp.isDefinedOutsideOfRegion(value);
|
|
}))
|
|
return failure();
|
|
|
|
if (succeeded(tryDistributeOp(rewriter, writeOp, warpOp)))
|
|
return success();
|
|
|
|
if (succeeded(tryExtractOp(rewriter, writeOp, warpOp)))
|
|
return success();
|
|
|
|
return failure();
|
|
}
|
|
|
|
private:
|
|
DistributionMapFn distributionMapFn;
|
|
};
|
|
|
|
/// Sink out elementwise op feeding into a warp op yield.
|
|
/// ```
|
|
/// %0 = vector.warp_execute_on_lane_0(%arg0) -> (vector<1xf32>) {
|
|
/// ...
|
|
/// %3 = arith.addf %1, %2 : vector<32xf32>
|
|
/// vector.yield %3 : vector<32xf32>
|
|
/// }
|
|
/// ```
|
|
/// To
|
|
/// ```
|
|
/// %r:3 = vector.warp_execute_on_lane_0(%arg0) -> (vector<1xf32>,
|
|
/// vector<1xf32>, vector<1xf32>) {
|
|
/// ...
|
|
/// %4 = arith.addf %2, %3 : vector<32xf32>
|
|
/// vector.yield %4, %2, %3 : vector<32xf32>, vector<32xf32>,
|
|
/// vector<32xf32>
|
|
/// }
|
|
/// %0 = arith.addf %r#1, %r#2 : vector<1xf32>
|
|
struct WarpOpElementwise : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *yieldOperand = getWarpResult(warpOp, [](Operation *op) {
|
|
return OpTrait::hasElementwiseMappableTraits(op);
|
|
});
|
|
if (!yieldOperand)
|
|
return failure();
|
|
Operation *elementWise = yieldOperand->get().getDefiningOp();
|
|
unsigned operandIndex = yieldOperand->getOperandNumber();
|
|
Value distributedVal = warpOp.getResult(operandIndex);
|
|
SmallVector<Value> yieldValues;
|
|
SmallVector<Type> retTypes;
|
|
Location loc = warpOp.getLoc();
|
|
for (OpOperand &operand : elementWise->getOpOperands()) {
|
|
Type targetType;
|
|
if (auto vecType = distributedVal.getType().dyn_cast<VectorType>()) {
|
|
// If the result type is a vector, the operands must also be vectors.
|
|
auto operandType = operand.get().getType().cast<VectorType>();
|
|
targetType =
|
|
VectorType::get(vecType.getShape(), operandType.getElementType());
|
|
} else {
|
|
auto operandType = operand.get().getType();
|
|
assert(!operandType.isa<VectorType>() &&
|
|
"unexpected yield of vector from op with scalar result type");
|
|
targetType = operandType;
|
|
}
|
|
retTypes.push_back(targetType);
|
|
yieldValues.push_back(operand.get());
|
|
}
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, yieldValues, retTypes, newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
SmallVector<Value> newOperands(elementWise->getOperands().begin(),
|
|
elementWise->getOperands().end());
|
|
for (unsigned i : llvm::seq(unsigned(0), elementWise->getNumOperands())) {
|
|
newOperands[i] = newWarpOp.getResult(newRetIndices[i]);
|
|
}
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
Operation *newOp = cloneOpWithOperandsAndTypes(
|
|
rewriter, loc, elementWise, newOperands,
|
|
{newWarpOp.getResult(operandIndex).getType()});
|
|
newWarpOp.getResult(operandIndex).replaceAllUsesWith(newOp->getResult(0));
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Sink out splat constant op feeding into a warp op yield.
|
|
/// ```
|
|
/// %0 = vector.warp_execute_on_lane_0(%arg0) -> (vector<1xf32>) {
|
|
/// ...
|
|
/// %cst = arith.constant dense<2.0> : vector<32xf32>
|
|
/// vector.yield %cst : vector<32xf32>
|
|
/// }
|
|
/// ```
|
|
/// To
|
|
/// ```
|
|
/// vector.warp_execute_on_lane_0(%arg0 {
|
|
/// ...
|
|
/// }
|
|
/// %0 = arith.constant dense<2.0> : vector<1xf32>
|
|
struct WarpOpConstant : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *yieldOperand = getWarpResult(
|
|
warpOp, [](Operation *op) { return isa<arith::ConstantOp>(op); });
|
|
if (!yieldOperand)
|
|
return failure();
|
|
auto constantOp = yieldOperand->get().getDefiningOp<arith::ConstantOp>();
|
|
auto dense = constantOp.getValue().dyn_cast<SplatElementsAttr>();
|
|
if (!dense)
|
|
return failure();
|
|
unsigned operandIndex = yieldOperand->getOperandNumber();
|
|
Attribute scalarAttr = dense.getSplatValue<Attribute>();
|
|
Attribute newAttr = DenseElementsAttr::get(
|
|
warpOp.getResult(operandIndex).getType(), scalarAttr);
|
|
Location loc = warpOp.getLoc();
|
|
rewriter.setInsertionPointAfter(warpOp);
|
|
Value distConstant = rewriter.create<arith::ConstantOp>(loc, newAttr);
|
|
warpOp.getResult(operandIndex).replaceAllUsesWith(distConstant);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Sink out transfer_read op feeding into a warp op yield.
|
|
/// ```
|
|
/// %0 = vector.warp_execute_on_lane_0(%arg0) -> (vector<1xf32>) {
|
|
/// ...
|
|
// %2 = vector.transfer_read %src[%c0], %cst : memref<1024xf32>,
|
|
// vector<32xf32>
|
|
/// vector.yield %2 : vector<32xf32>
|
|
/// }
|
|
/// ```
|
|
/// To
|
|
/// ```
|
|
/// %dead = vector.warp_execute_on_lane_0(%arg0) -> (vector<1xf32>,
|
|
/// vector<1xf32>, vector<1xf32>) {
|
|
/// ...
|
|
/// %2 = vector.transfer_read %src[%c0], %cst : memref<1024xf32>,
|
|
/// vector<32xf32> vector.yield %2 : vector<32xf32>
|
|
/// }
|
|
/// %0 = vector.transfer_read %src[%c0], %cst : memref<1024xf32>, vector<1xf32>
|
|
struct WarpOpTransferRead : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *operand = getWarpResult(
|
|
warpOp, [](Operation *op) { return isa<vector::TransferReadOp>(op); });
|
|
if (!operand)
|
|
return failure();
|
|
auto read = operand->get().getDefiningOp<vector::TransferReadOp>();
|
|
unsigned operandIndex = operand->getOperandNumber();
|
|
Value distributedVal = warpOp.getResult(operandIndex);
|
|
|
|
SmallVector<Value, 4> indices(read.getIndices().begin(),
|
|
read.getIndices().end());
|
|
AffineMap map = calculateImplicitMap(read.getResult(), distributedVal);
|
|
AffineMap indexMap = map.compose(read.getPermutationMap());
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
rewriter.setInsertionPointAfter(warpOp);
|
|
for (auto it : llvm::zip(indexMap.getResults(), map.getResults())) {
|
|
AffineExpr d0, d1;
|
|
bindDims(read.getContext(), d0, d1);
|
|
auto indexExpr = std::get<0>(it).dyn_cast<AffineDimExpr>();
|
|
if (!indexExpr)
|
|
continue;
|
|
unsigned indexPos = indexExpr.getPosition();
|
|
unsigned vectorPos = std::get<1>(it).cast<AffineDimExpr>().getPosition();
|
|
int64_t scale =
|
|
distributedVal.getType().cast<VectorType>().getDimSize(vectorPos);
|
|
indices[indexPos] =
|
|
makeComposedAffineApply(rewriter, read.getLoc(), d0 + scale * d1,
|
|
{indices[indexPos], warpOp.getLaneid()});
|
|
}
|
|
Value newRead = rewriter.create<vector::TransferReadOp>(
|
|
read.getLoc(), distributedVal.getType(), read.getSource(), indices,
|
|
read.getPermutationMapAttr(), read.getPadding(), read.getMask(),
|
|
read.getInBoundsAttr());
|
|
distributedVal.replaceAllUsesWith(newRead);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Remove any result that has no use along with the matching yieldOp operand.
|
|
// TODO: Move this in WarpExecuteOnLane0Op canonicalization.
|
|
struct WarpOpDeadResult : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
SmallVector<Type> resultTypes;
|
|
SmallVector<Value> yieldValues;
|
|
auto yield = cast<vector::YieldOp>(
|
|
warpOp.getBodyRegion().getBlocks().begin()->getTerminator());
|
|
for (OpResult result : warpOp.getResults()) {
|
|
if (result.use_empty())
|
|
continue;
|
|
resultTypes.push_back(result.getType());
|
|
yieldValues.push_back(yield.getOperand(result.getResultNumber()));
|
|
}
|
|
if (yield.getNumOperands() == yieldValues.size())
|
|
return failure();
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndReplaceReturns(
|
|
rewriter, warpOp, yieldValues, resultTypes);
|
|
unsigned resultIndex = 0;
|
|
for (OpResult result : warpOp.getResults()) {
|
|
if (result.use_empty())
|
|
continue;
|
|
result.replaceAllUsesWith(newWarpOp.getResult(resultIndex++));
|
|
}
|
|
rewriter.eraseOp(warpOp);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
// If an operand is directly yielded out of the region we can forward it
|
|
// directly and it doesn't need to go through the region.
|
|
struct WarpOpForwardOperand : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
SmallVector<Type> resultTypes;
|
|
SmallVector<Value> yieldValues;
|
|
auto yield = cast<vector::YieldOp>(
|
|
warpOp.getBodyRegion().getBlocks().begin()->getTerminator());
|
|
Value valForwarded;
|
|
unsigned resultIndex;
|
|
for (OpOperand &operand : yield->getOpOperands()) {
|
|
Value result = warpOp.getResult(operand.getOperandNumber());
|
|
if (result.use_empty())
|
|
continue;
|
|
|
|
// Assume all the values coming from above are uniform.
|
|
if (!warpOp.getBodyRegion().isAncestor(operand.get().getParentRegion())) {
|
|
if (result.getType() != operand.get().getType())
|
|
continue;
|
|
valForwarded = operand.get();
|
|
resultIndex = operand.getOperandNumber();
|
|
break;
|
|
}
|
|
auto arg = operand.get().dyn_cast<BlockArgument>();
|
|
if (!arg || arg.getOwner()->getParentOp() != warpOp.getOperation())
|
|
continue;
|
|
Value warpOperand = warpOp.getArgs()[arg.getArgNumber()];
|
|
if (result.getType() != warpOperand.getType())
|
|
continue;
|
|
valForwarded = warpOperand;
|
|
resultIndex = operand.getOperandNumber();
|
|
break;
|
|
}
|
|
if (!valForwarded)
|
|
return failure();
|
|
warpOp.getResult(resultIndex).replaceAllUsesWith(valForwarded);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
struct WarpOpBroadcast : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *operand = getWarpResult(
|
|
warpOp, [](Operation *op) { return isa<vector::BroadcastOp>(op); });
|
|
if (!operand)
|
|
return failure();
|
|
unsigned int operandNumber = operand->getOperandNumber();
|
|
auto broadcastOp = operand->get().getDefiningOp<vector::BroadcastOp>();
|
|
Location loc = broadcastOp.getLoc();
|
|
auto destVecType =
|
|
warpOp->getResultTypes()[operandNumber].cast<VectorType>();
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, {broadcastOp.getSource()},
|
|
{broadcastOp.getSource().getType()}, newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
Value broadcasted = rewriter.create<vector::BroadcastOp>(
|
|
loc, destVecType, newWarpOp->getResult(newRetIndices[0]));
|
|
newWarpOp->getResult(operandNumber).replaceAllUsesWith(broadcasted);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Pattern to move out vector.extract of single element vector. Those don't
|
|
/// need to be distributed and can just be propagated outside of the region.
|
|
struct WarpOpExtract : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *operand = getWarpResult(
|
|
warpOp, [](Operation *op) { return isa<vector::ExtractOp>(op); });
|
|
if (!operand)
|
|
return failure();
|
|
unsigned int operandNumber = operand->getOperandNumber();
|
|
auto extractOp = operand->get().getDefiningOp<vector::ExtractOp>();
|
|
if (extractOp.getVectorType().getNumElements() != 1)
|
|
return failure();
|
|
Location loc = extractOp.getLoc();
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, {extractOp.getVector()}, {extractOp.getVectorType()},
|
|
newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
Value newExtract = rewriter.create<vector::ExtractOp>(
|
|
loc, newWarpOp->getResult(newRetIndices[0]), extractOp.getPosition());
|
|
newWarpOp->getResult(operandNumber).replaceAllUsesWith(newExtract);
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// Sink scf.for region out of WarpExecuteOnLane0Op. This can be done only if
|
|
/// the scf.ForOp is the last operation in the region so that it doesn't change
|
|
/// the order of execution. This creates a new scf.for region after the
|
|
/// WarpExecuteOnLane0Op. The new scf.for region will contain a new
|
|
/// WarpExecuteOnLane0Op region. Example:
|
|
/// ```
|
|
/// %w = vector.warp_execute_on_lane_0(%laneid) -> (vector<4xf32>) {
|
|
/// ...
|
|
/// %v1 = scf.for %arg3 = %c0 to %c128 step %c1 iter_args(%arg4 = %v)
|
|
/// -> (vector<128xf32>) {
|
|
/// ...
|
|
/// scf.yield %r : vector<128xf32>
|
|
/// }
|
|
/// vector.yield %v1 : vector<128xf32>
|
|
/// }
|
|
/// ```
|
|
/// To:
|
|
/// %w0 = vector.warp_execute_on_lane_0(%arg0) -> (vector<4xf32>) {
|
|
/// ...
|
|
/// vector.yield %v : vector<128xf32>
|
|
/// }
|
|
/// %w = scf.for %arg3 = %c0 to %c128 step %c1 iter_args(%varg = %q0)
|
|
/// -> (vector<4xf32>) {
|
|
/// %iw = vector.warp_execute_on_lane_0(%laneid)
|
|
/// args(%varg : vector<4xf32>) -> (vector<4xf32>) {
|
|
/// ^bb0(%arg: vector<128xf32>):
|
|
/// ...
|
|
/// vector.yield %ir : vector<128xf32>
|
|
/// }
|
|
/// scf.yield %iw : vector<4xf32>
|
|
/// }
|
|
/// ```
|
|
struct WarpOpScfForOp : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
using OpRewritePattern<WarpExecuteOnLane0Op>::OpRewritePattern;
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
auto yield = cast<vector::YieldOp>(
|
|
warpOp.getBodyRegion().getBlocks().begin()->getTerminator());
|
|
// Only pick up forOp if it is the last op in the region.
|
|
Operation *lastNode = yield->getPrevNode();
|
|
auto forOp = dyn_cast_or_null<scf::ForOp>(lastNode);
|
|
if (!forOp)
|
|
return failure();
|
|
SmallVector<Value> newOperands;
|
|
SmallVector<unsigned> resultIdx;
|
|
// Collect all the outputs coming from the forOp.
|
|
for (OpOperand &yieldOperand : yield->getOpOperands()) {
|
|
if (yieldOperand.get().getDefiningOp() != forOp.getOperation())
|
|
continue;
|
|
auto forResult = yieldOperand.get().cast<OpResult>();
|
|
newOperands.push_back(warpOp.getResult(yieldOperand.getOperandNumber()));
|
|
yieldOperand.set(forOp.getIterOperands()[forResult.getResultNumber()]);
|
|
resultIdx.push_back(yieldOperand.getOperandNumber());
|
|
}
|
|
OpBuilder::InsertionGuard g(rewriter);
|
|
rewriter.setInsertionPointAfter(warpOp);
|
|
// Create a new for op outside the region with a WarpExecuteOnLane0Op region
|
|
// inside.
|
|
auto newForOp = rewriter.create<scf::ForOp>(
|
|
forOp.getLoc(), forOp.getLowerBound(), forOp.getUpperBound(),
|
|
forOp.getStep(), newOperands);
|
|
rewriter.setInsertionPoint(newForOp.getBody(), newForOp.getBody()->begin());
|
|
auto innerWarp = rewriter.create<WarpExecuteOnLane0Op>(
|
|
warpOp.getLoc(), newForOp.getResultTypes(), warpOp.getLaneid(),
|
|
warpOp.getWarpSize(), newForOp.getRegionIterArgs(),
|
|
forOp.getResultTypes());
|
|
|
|
SmallVector<Value> argMapping;
|
|
argMapping.push_back(newForOp.getInductionVar());
|
|
for (Value args : innerWarp.getBody()->getArguments()) {
|
|
argMapping.push_back(args);
|
|
}
|
|
SmallVector<Value> yieldOperands;
|
|
for (Value operand : forOp.getBody()->getTerminator()->getOperands())
|
|
yieldOperands.push_back(operand);
|
|
rewriter.eraseOp(forOp.getBody()->getTerminator());
|
|
rewriter.mergeBlocks(forOp.getBody(), innerWarp.getBody(), argMapping);
|
|
rewriter.setInsertionPoint(innerWarp.getBody(), innerWarp.getBody()->end());
|
|
rewriter.create<vector::YieldOp>(innerWarp.getLoc(), yieldOperands);
|
|
rewriter.setInsertionPointAfter(innerWarp);
|
|
if (!innerWarp.getResults().empty())
|
|
rewriter.create<scf::YieldOp>(forOp.getLoc(), innerWarp.getResults());
|
|
rewriter.eraseOp(forOp);
|
|
// Replace the warpOp result coming from the original ForOp.
|
|
for (const auto &res : llvm::enumerate(resultIdx)) {
|
|
warpOp.getResult(res.value())
|
|
.replaceAllUsesWith(newForOp.getResult(res.index()));
|
|
newForOp->setOperand(res.index() + 3, warpOp.getResult(res.value()));
|
|
}
|
|
return success();
|
|
}
|
|
};
|
|
|
|
/// A pattern that extracts vector.reduction ops from a WarpExecuteOnLane0Op.
|
|
/// The vector is reduced in parallel. Currently limited to vector size matching
|
|
/// the warpOp size. E.g.:
|
|
/// ```
|
|
/// %r = vector_ext.warp_execute_on_lane_0(%laneid)[32] -> (f32) {
|
|
/// %0 = "some_def"() : () -> (vector<32xf32>)
|
|
/// %1 = vector.reduction "add", %0 : vector<32xf32> into f32
|
|
/// vector_ext.yield %1 : f32
|
|
/// }
|
|
/// ```
|
|
/// is lowered to:
|
|
/// ```
|
|
/// %0 = vector_ext.warp_execute_on_lane_0(%laneid)[32] -> (vector<1xf32>) {
|
|
/// %1 = "some_def"() : () -> (vector<32xf32>)
|
|
/// vector_ext.yield %1 : vector<32xf32>
|
|
/// }
|
|
/// %a = vector.extract %0[0] : vector<1xf32>
|
|
/// %r = ("warp.reduction %a")
|
|
/// ```
|
|
struct WarpOpReduction : public OpRewritePattern<WarpExecuteOnLane0Op> {
|
|
WarpOpReduction(MLIRContext *context,
|
|
DistributedReductionFn distributedReductionFn,
|
|
PatternBenefit benefit = 1)
|
|
: OpRewritePattern<WarpExecuteOnLane0Op>(context, benefit),
|
|
distributedReductionFn(distributedReductionFn) {}
|
|
|
|
LogicalResult matchAndRewrite(WarpExecuteOnLane0Op warpOp,
|
|
PatternRewriter &rewriter) const override {
|
|
OpOperand *yieldOperand = getWarpResult(
|
|
warpOp, [](Operation *op) { return isa<vector::ReductionOp>(op); });
|
|
if (!yieldOperand)
|
|
return failure();
|
|
|
|
auto reductionOp =
|
|
cast<vector::ReductionOp>(yieldOperand->get().getDefiningOp());
|
|
auto vectorType = reductionOp.getVector().getType().cast<VectorType>();
|
|
// Only rank 1 vectors supported.
|
|
if (vectorType.getRank() != 1)
|
|
return rewriter.notifyMatchFailure(
|
|
warpOp, "Only rank 1 reductions can be distributed.");
|
|
// Only warp_size-sized vectors supported.
|
|
if (vectorType.getShape()[0] % warpOp.getWarpSize() != 0)
|
|
return rewriter.notifyMatchFailure(
|
|
warpOp, "Reduction vector dimension must match was size.");
|
|
// Only f32 and i32 element types are supported.
|
|
if (!reductionOp.getType().isF32() &&
|
|
!reductionOp.getType().isSignlessInteger(32))
|
|
return rewriter.notifyMatchFailure(
|
|
warpOp,
|
|
"Reduction distribution currently only supports 32bits types.");
|
|
|
|
int64_t numElements = vectorType.getShape()[0] / warpOp.getWarpSize();
|
|
// Return vector that will be reduced from the WarpExecuteOnLane0Op.
|
|
unsigned operandIndex = yieldOperand->getOperandNumber();
|
|
SmallVector<Value> yieldValues = {reductionOp.getVector()};
|
|
SmallVector<Type> retTypes = {
|
|
VectorType::get({numElements}, reductionOp.getType())};
|
|
if (reductionOp.getAcc()) {
|
|
yieldValues.push_back(reductionOp.getAcc());
|
|
retTypes.push_back(reductionOp.getAcc().getType());
|
|
}
|
|
SmallVector<size_t> newRetIndices;
|
|
WarpExecuteOnLane0Op newWarpOp = moveRegionToNewWarpOpAndAppendReturns(
|
|
rewriter, warpOp, yieldValues, retTypes, newRetIndices);
|
|
rewriter.setInsertionPointAfter(newWarpOp);
|
|
|
|
Value laneValVec = newWarpOp.getResult(newRetIndices[0]);
|
|
// First reduce on a single thread.
|
|
Value perLaneReduction = rewriter.create<vector::ReductionOp>(
|
|
reductionOp.getLoc(), reductionOp.getKind(), laneValVec);
|
|
// Then distribute across threads.
|
|
Value fullReduce =
|
|
distributedReductionFn(reductionOp.getLoc(), rewriter, perLaneReduction,
|
|
reductionOp.getKind(), newWarpOp.getWarpSize());
|
|
if (reductionOp.getAcc()) {
|
|
fullReduce = vector::makeArithReduction(
|
|
rewriter, reductionOp.getLoc(), reductionOp.getKind(), fullReduce,
|
|
newWarpOp.getResult(newRetIndices[1]));
|
|
}
|
|
newWarpOp.getResult(operandIndex).replaceAllUsesWith(fullReduce);
|
|
return success();
|
|
}
|
|
|
|
private:
|
|
DistributedReductionFn distributedReductionFn;
|
|
};
|
|
|
|
} // namespace
|
|
|
|
void mlir::vector::populateWarpExecuteOnLane0OpToScfForPattern(
|
|
RewritePatternSet &patterns,
|
|
const WarpExecuteOnLane0LoweringOptions &options) {
|
|
patterns.add<WarpOpToScfForPattern>(patterns.getContext(), options);
|
|
}
|
|
|
|
void mlir::vector::populateDistributeTransferWriteOpPatterns(
|
|
RewritePatternSet &patterns, const DistributionMapFn &distributionMapFn) {
|
|
patterns.add<WarpOpTransferWrite>(patterns.getContext(), distributionMapFn);
|
|
}
|
|
|
|
void mlir::vector::populatePropagateWarpVectorDistributionPatterns(
|
|
RewritePatternSet &patterns) {
|
|
patterns.add<WarpOpElementwise, WarpOpTransferRead, WarpOpDeadResult,
|
|
WarpOpBroadcast, WarpOpExtract, WarpOpForwardOperand,
|
|
WarpOpScfForOp, WarpOpConstant>(patterns.getContext());
|
|
}
|
|
|
|
void mlir::vector::populateDistributeReduction(
|
|
RewritePatternSet &patterns,
|
|
DistributedReductionFn distributedReductionFn) {
|
|
patterns.add<WarpOpReduction>(patterns.getContext(), distributedReductionFn);
|
|
}
|
|
|
|
void mlir::vector::moveScalarUniformCode(WarpExecuteOnLane0Op warpOp) {
|
|
Block *body = warpOp.getBody();
|
|
|
|
// Keep track of the ops we want to hoist.
|
|
llvm::SmallSetVector<Operation *, 8> opsToMove;
|
|
|
|
// Helper to check if a value is or will be defined outside of the region.
|
|
auto isDefinedOutsideOfBody = [&](Value value) {
|
|
auto *definingOp = value.getDefiningOp();
|
|
return (definingOp && opsToMove.count(definingOp)) ||
|
|
warpOp.isDefinedOutsideOfRegion(value);
|
|
};
|
|
|
|
// Do not use walk here, as we do not want to go into nested regions and hoist
|
|
// operations from there.
|
|
for (auto &op : body->without_terminator()) {
|
|
bool hasVectorResult = llvm::any_of(op.getResults(), [](Value result) {
|
|
return result.getType().isa<VectorType>();
|
|
});
|
|
if (!hasVectorResult && canBeHoisted(&op, isDefinedOutsideOfBody))
|
|
opsToMove.insert(&op);
|
|
}
|
|
|
|
// Move all the ops marked as uniform outside of the region.
|
|
for (Operation *op : opsToMove)
|
|
op->moveBefore(warpOp);
|
|
}
|