335 lines
11 KiB
C++
335 lines
11 KiB
C++
//===- AMDGPUDialect.cpp - MLIR AMDGPU dialect implementation --------===//
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//
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// Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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// See https://llvm.org/LICENSE.txt for license information.
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// SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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//
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//===----------------------------------------------------------------------===//
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//
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// This file implements the AMDGPU dialect and its operations.
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//
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//===----------------------------------------------------------------------===//
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#include "mlir/Dialect/AMDGPU/IR/AMDGPUDialect.h"
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#include "mlir/Dialect/Arith/IR/Arith.h"
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#include "mlir/Dialect/GPU/IR/GPUDialect.h"
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#include "mlir/IR/Builders.h"
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#include "mlir/IR/BuiltinTypes.h"
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#include "mlir/IR/Diagnostics.h"
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#include "mlir/IR/DialectImplementation.h"
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#include "mlir/IR/Matchers.h"
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#include "mlir/IR/OpImplementation.h"
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#include "mlir/IR/PatternMatch.h"
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#include "mlir/IR/TypeUtilities.h"
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#include "llvm/ADT/TypeSwitch.h"
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#include <limits>
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#include <optional>
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using namespace mlir;
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using namespace mlir::amdgpu;
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#include "mlir/Dialect/AMDGPU/IR/AMDGPUDialect.cpp.inc"
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void AMDGPUDialect::initialize() {
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addOperations<
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#define GET_OP_LIST
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#include "mlir/Dialect/AMDGPU/IR/AMDGPU.cpp.inc"
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>();
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addAttributes<
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#define GET_ATTRDEF_LIST
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#include "mlir/Dialect/AMDGPU/IR/AMDGPUAttributes.cpp.inc"
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>();
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}
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//===----------------------------------------------------------------------===//
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// 8-bit float ops
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//===----------------------------------------------------------------------===//
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LogicalResult PackedTrunc2xFp8Op::verify() {
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if (getExisting() && getExisting().getType() != getResult().getType())
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return emitOpError("existing values must have same type as result");
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return success();
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}
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LogicalResult PackedStochRoundFp8Op::verify() {
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if (getExisting() && getExisting().getType() != getResult().getType())
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return emitOpError("existing values must have same type as result");
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return success();
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}
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//===----------------------------------------------------------------------===//
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// RawBuffer*Op
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//===----------------------------------------------------------------------===//
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template <typename T>
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static LogicalResult verifyRawBufferOp(T &op) {
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MemRefType bufferType = llvm::cast<MemRefType>(op.getMemref().getType());
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Attribute memorySpace = bufferType.getMemorySpace();
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bool isGlobal = false;
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if (!memorySpace)
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isGlobal = true;
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else if (auto intMemorySpace = llvm::dyn_cast<IntegerAttr>(memorySpace))
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isGlobal = intMemorySpace.getInt() == 0 || intMemorySpace.getInt() == 1;
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else if (auto gpuMemorySpace =
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llvm::dyn_cast<gpu::AddressSpaceAttr>(memorySpace))
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isGlobal = gpuMemorySpace.getValue() == gpu::AddressSpace::Global;
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if (!isGlobal)
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return op.emitOpError(
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"Buffer ops must operate on a memref in global memory");
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if (!bufferType.hasRank())
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return op.emitOpError(
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"Cannot meaningfully buffer_store to an unranked memref");
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if (static_cast<int64_t>(op.getIndices().size()) != bufferType.getRank())
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return op.emitOpError("Expected " + Twine(bufferType.getRank()) +
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" indices to memref");
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return success();
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}
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LogicalResult RawBufferLoadOp::verify() { return verifyRawBufferOp(*this); }
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LogicalResult RawBufferStoreOp::verify() { return verifyRawBufferOp(*this); }
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LogicalResult RawBufferAtomicFaddOp::verify() {
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return verifyRawBufferOp(*this);
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}
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LogicalResult RawBufferAtomicFmaxOp::verify() {
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return verifyRawBufferOp(*this);
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}
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LogicalResult RawBufferAtomicSmaxOp::verify() {
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return verifyRawBufferOp(*this);
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}
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LogicalResult RawBufferAtomicUminOp::verify() {
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return verifyRawBufferOp(*this);
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}
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LogicalResult RawBufferAtomicCmpswapOp::verify() {
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return verifyRawBufferOp(*this);
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}
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static std::optional<uint32_t> getConstantUint32(Value v) {
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APInt cst;
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if (!v.getType().isInteger(32))
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return std::nullopt;
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if (matchPattern(v, m_ConstantInt(&cst)))
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return cst.getZExtValue();
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return std::nullopt;
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}
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template <typename OpType>
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static bool staticallyOutOfBounds(OpType op) {
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if (!op.getBoundsCheck())
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return false;
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MemRefType bufferType = op.getMemref().getType();
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if (!bufferType.hasStaticShape())
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return false;
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int64_t offset;
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SmallVector<int64_t> strides;
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if (failed(getStridesAndOffset(bufferType, strides, offset)))
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return false;
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int64_t result = offset + op.getIndexOffset().value_or(0);
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if (op.getSgprOffset()) {
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std::optional<uint32_t> sgprOffset = getConstantUint32(op.getSgprOffset());
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if (!sgprOffset)
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return false;
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result += *sgprOffset;
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}
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if (strides.size() != op.getIndices().size())
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return false;
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int64_t indexVal = 0;
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for (auto pair : llvm::zip(strides, op.getIndices())) {
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int64_t stride = std::get<0>(pair);
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Value idx = std::get<1>(pair);
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std::optional<uint32_t> idxVal = getConstantUint32(idx);
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if (!idxVal)
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return false;
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indexVal += stride * *idxVal;
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}
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result += indexVal;
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if (result > std::numeric_limits<uint32_t>::max())
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// Overflow means don't drop
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return false;
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return result >= bufferType.getNumElements();
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}
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namespace {
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template <typename OpType>
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struct RemoveStaticallyOobBufferLoads final : public OpRewritePattern<OpType> {
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using OpRewritePattern<OpType>::OpRewritePattern;
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LogicalResult matchAndRewrite(OpType op, PatternRewriter &rw) const override {
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if (!staticallyOutOfBounds(op))
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return failure();
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Type loadType = op.getResult().getType();
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rw.replaceOpWithNewOp<arith::ConstantOp>(op, loadType,
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rw.getZeroAttr(loadType));
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return success();
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}
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};
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template <typename OpType>
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struct RemoveStaticallyOobBufferWrites final : public OpRewritePattern<OpType> {
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using OpRewritePattern<OpType>::OpRewritePattern;
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LogicalResult matchAndRewrite(OpType op, PatternRewriter &rw) const override {
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if (!staticallyOutOfBounds(op))
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return failure();
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rw.eraseOp(op);
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return success();
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}
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};
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} // end namespace
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void RawBufferLoadOp::getCanonicalizationPatterns(RewritePatternSet &results,
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MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferLoads<RawBufferLoadOp>>(context);
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}
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void RawBufferStoreOp::getCanonicalizationPatterns(RewritePatternSet &results,
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MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferWrites<RawBufferStoreOp>>(context);
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}
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void RawBufferAtomicFaddOp::getCanonicalizationPatterns(
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RewritePatternSet &results, MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferWrites<RawBufferAtomicFaddOp>>(context);
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}
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void RawBufferAtomicFmaxOp::getCanonicalizationPatterns(
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RewritePatternSet &results, MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferWrites<RawBufferAtomicFmaxOp>>(context);
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}
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void RawBufferAtomicSmaxOp::getCanonicalizationPatterns(
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RewritePatternSet &results, MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferWrites<RawBufferAtomicSmaxOp>>(context);
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}
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void RawBufferAtomicUminOp::getCanonicalizationPatterns(
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RewritePatternSet &results, MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferWrites<RawBufferAtomicUminOp>>(context);
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}
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void RawBufferAtomicCmpswapOp::getCanonicalizationPatterns(
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RewritePatternSet &results, MLIRContext *context) {
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results.add<RemoveStaticallyOobBufferLoads<RawBufferAtomicCmpswapOp>>(
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context);
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}
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//===----------------------------------------------------------------------===//
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// WMMAOp
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//===----------------------------------------------------------------------===//
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LogicalResult WMMAOp::verify() {
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Type sourceAType = getSourceA().getType();
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Type destType = getDestC().getType();
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VectorType sourceVectorAType = sourceAType.dyn_cast<VectorType>();
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VectorType destVectorType = destType.dyn_cast<VectorType>();
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Type sourceAElemType = sourceVectorAType.getElementType();
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Type destElemType = destVectorType.getElementType();
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bool isDestFloat =
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(destElemType.isF32() || destElemType.isF16() || destElemType.isBF16());
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bool isSrcFloat = (sourceAElemType.isF16() || sourceAElemType.isBF16());
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if (isDestFloat && !isSrcFloat) {
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return emitOpError("Expected float sources with float destination");
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}
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if (!isDestFloat && isSrcFloat) {
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return emitOpError("Expected int sources with int destination");
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}
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return success();
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}
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//===----------------------------------------------------------------------===//
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// MFMAOp
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//===----------------------------------------------------------------------===//
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LogicalResult MFMAOp::verify() {
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constexpr uint32_t waveSize = 64;
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Builder b(getContext());
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Type sourceType = getSourceA().getType();
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Type destType = getDestC().getType();
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Type sourceElem = sourceType, destElem = destType;
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uint32_t sourceLen = 1, destLen = 1;
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if (auto sourceVector = llvm::dyn_cast<VectorType>(sourceType)) {
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sourceLen = sourceVector.getNumElements();
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sourceElem = sourceVector.getElementType();
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}
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if (auto destVector = llvm::dyn_cast<VectorType>(destType)) {
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destLen = destVector.getNumElements();
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destElem = destVector.getElementType();
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}
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Type sourceBType = getSourceB().getType();
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if (sourceElem.isFloat8E5M2FNUZ() || sourceElem.isFloat8E4M3FNUZ()) {
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int64_t sourceBLen = 1;
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Type sourceBElem = sourceBType;
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if (auto sourceBVector = llvm::dyn_cast<VectorType>(sourceBType)) {
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sourceBLen = sourceBVector.getNumElements();
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sourceBElem = sourceBVector.getElementType();
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}
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if (!sourceBElem.isFloat8E5M2FNUZ() && !sourceBElem.isFloat8E4M3FNUZ())
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return emitOpError("expected both source operands to have f8 elements");
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if (sourceLen != sourceBLen)
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return emitOpError(
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"expected both f8 source vectors to have the same length");
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} else {
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if (sourceType != sourceBType)
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return emitOpError(
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"expected both non-f8 source operand types to match exactly");
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}
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// Normalize the wider integer types the compiler expects to i8
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if (sourceElem.isInteger(32)) {
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sourceLen *= 4;
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sourceElem = b.getI8Type();
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}
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if (sourceElem.isInteger(64)) {
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sourceLen *= 8;
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sourceElem = b.getI8Type();
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}
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int64_t numSourceElems = (getM() * getK() * getBlocks()) / waveSize;
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if (sourceLen != numSourceElems)
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return emitOpError("expected " + Twine(numSourceElems) +
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" source values for this operation but got " +
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Twine(sourceLen));
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int64_t numDestElems = (getM() * getN() * getBlocks()) / waveSize;
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if (destLen != numDestElems)
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return emitOpError("expected " + Twine(numDestElems) +
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" result values for this operation but got " +
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Twine(destLen));
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if (destElem.isF64() && getBlgp() != MFMAPermB::none)
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return emitOpError(
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"double-precision ops do not support permuting lanes of B");
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if (destElem.isF64() && getCbsz() != 0)
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return emitOpError(
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"double-precision ops do not support permuting lanes of A");
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if (getAbid() >= (1u << getCbsz()))
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return emitOpError(
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"block ID for permuting A (abid) must be below 2 ** cbsz");
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if ((getNegateA() || getNegateB() || getNegateC()) && !destElem.isF64())
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return emitOpError(
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"negation flags only available for double-precision operations");
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return success();
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}
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#include "mlir/Dialect/AMDGPU/IR/AMDGPUEnums.cpp.inc"
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#define GET_ATTRDEF_CLASSES
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#include "mlir/Dialect/AMDGPU/IR/AMDGPUAttributes.cpp.inc"
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#define GET_OP_CLASSES
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#include "mlir/Dialect/AMDGPU/IR/AMDGPU.cpp.inc"
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