9052a85da8
When inferring the return type of amdgpu.fat_raw_buffer_cast with the offset reset, we would sometimes use a strided layout, like strided<[1]>, in cases where, after stripping the offset, the memref had the identity layout. This would cause issues with EmulateNarrowTypes, which does perform this layout canonicalization. Now, the return type inference will put in an identity layout after offset stripping for 1. Statically-shaped memrefs of any rank where the strides match the suffix product of the shape, and 2. Memrefs of rank <= 1 whose strides are [1] (or []) that just had their offset removed by resetOffset.
589 lines
21 KiB
C++
589 lines
21 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/Dialect/LLVMIR/ROCDLDialect.h"
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#include "mlir/Dialect/MemRef/Utils/MemRefUtils.h"
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#include "mlir/Dialect/Utils/IndexingUtils.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/DenseMap.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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// mxfp float ops
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//===----------------------------------------------------------------------===//
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LogicalResult PackedScaledTruncOp::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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// FatRawBufferCastOp
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//===----------------------------------------------------------------------===//
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/// Convert the type `source` to one with the same sizes and strides - and
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/// offset, unless `stripOffset` is true, in which case the offset is reset to
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/// 0, if the offset should be reset but the layout of `source` isn't either the
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/// identity layout or a strided layout, this function fails.
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static FailureOr<MemRefType> getFatRawBufferTypeLike(MemRefType source,
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bool resetOffset) {
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MLIRContext *ctx = source.getContext();
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MemRefType::Builder mb(source);
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mb.setMemorySpace(
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amdgpu::AddressSpaceAttr::get(ctx, amdgpu::AddressSpace::FatRawBuffer));
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MemRefLayoutAttrInterface layout = source.getLayout();
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if (resetOffset && !layout.isIdentity()) {
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auto stridedLayout = dyn_cast<StridedLayoutAttr>(layout);
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if (!stridedLayout)
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return failure();
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MemRefLayoutAttrInterface newLayout =
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StridedLayoutAttr::get(ctx, 0, stridedLayout.getStrides());
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// Special case: if resetting the offset causes the strided layout to become
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// the identity layout, then reset to the identity layout.
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// TODO: this'll get a lot simpler when we have the contiguous layout.
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SmallVector<int64_t> stridesIfIdentity;
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if (source.hasStaticShape()) {
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stridesIfIdentity = computeSuffixProduct(source.getShape());
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} else if (source.getRank() <= 1) {
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stridesIfIdentity = SmallVector<int64_t>(source.getRank(), 1);
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}
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if (stridesIfIdentity == stridedLayout.getStrides()) {
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newLayout = AffineMapAttr::get(
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AffineMap::getMultiDimIdentityMap(source.getRank(), ctx));
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}
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mb.setLayout(newLayout);
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}
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return (MemRefType)(mb);
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}
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LogicalResult FatRawBufferCastOp::inferReturnTypes(
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MLIRContext *context, std::optional<Location> location, ValueRange operands,
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DictionaryAttr attributes, OpaqueProperties properties, RegionRange regions,
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SmallVectorImpl<Type> &inferredReturnTypes) {
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Adaptor adaptor(operands, attributes, properties, regions);
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auto sourceType =
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dyn_cast_if_present<MemRefType>(adaptor.getSource().getType());
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if (!sourceType)
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return failure();
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FailureOr<MemRefType> resultType =
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getFatRawBufferTypeLike(sourceType, adaptor.getResetOffset());
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if (failed(resultType))
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return failure();
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inferredReturnTypes = SmallVector<Type>{*resultType};
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return success();
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}
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LogicalResult FatRawBufferCastOp::verify() {
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FailureOr<MemRefType> expectedResultType =
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getFatRawBufferTypeLike(getSource().getType(), getResetOffset());
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if (failed(expectedResultType))
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return emitOpError("source type ")
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<< getSource().getType() << " can't have its offset reset";
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if (getResult().getType() != *expectedResultType)
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return emitOpError("expected result type to be ")
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<< *expectedResultType << " but got " << getResult().getType();
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return success();
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}
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static bool hasGlobalMemorySpace(Attribute memorySpace) {
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if (!memorySpace)
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return true;
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if (auto intMemorySpace = dyn_cast<IntegerAttr>(memorySpace))
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return intMemorySpace.getInt() == 0 || intMemorySpace.getInt() == 1;
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if (auto gpuMemorySpace = dyn_cast<gpu::AddressSpaceAttr>(memorySpace))
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return gpuMemorySpace.getValue() == gpu::AddressSpace::Global;
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return false;
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}
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static bool hasWorkgroupMemorySpace(Attribute memorySpace) {
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if (!memorySpace)
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return false;
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if (auto intMemorySpace = dyn_cast<IntegerAttr>(memorySpace))
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return intMemorySpace.getInt() == 3;
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if (auto gpuMemorySpace = dyn_cast<gpu::AddressSpaceAttr>(memorySpace))
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return gpuMemorySpace.getValue() == gpu::AddressSpace::Workgroup;
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return false;
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}
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static bool hasFatRawBufferMemorySpace(Attribute memorySpace) {
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if (!memorySpace)
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return false;
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if (auto intMemorySpace = dyn_cast<IntegerAttr>(memorySpace))
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return intMemorySpace.getInt() == 7;
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if (auto gpuMemorySpace = dyn_cast<amdgpu::AddressSpaceAttr>(memorySpace))
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return gpuMemorySpace.getValue() == amdgpu::AddressSpace::FatRawBuffer;
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return false;
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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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bool isGlobal = hasGlobalMemorySpace(bufferType.getMemorySpace());
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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(bufferType.getStridesAndOffset(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 sourceBType = getSourceB().getType();
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Type destType = getDestC().getType();
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VectorType sourceVectorAType = dyn_cast<VectorType>(sourceAType);
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VectorType sourceVectorBType = dyn_cast<VectorType>(sourceBType);
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VectorType destVectorType = dyn_cast<VectorType>(destType);
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Type sourceAElemType = sourceVectorAType.getElementType();
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Type sourceBElemType = sourceVectorBType.getElementType();
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Type destElemType = destVectorType.getElementType();
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if (sourceVectorAType.getNumElements() !=
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sourceVectorBType.getNumElements()) {
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return emitOpError("source vectors have different lengths: ")
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<< sourceVectorAType << " vs. " << sourceVectorBType;
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}
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bool isDestFloat = isa<Float32Type, Float16Type, BFloat16Type>(destElemType);
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bool isSrcFloat =
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isa<Float16Type, BFloat16Type, Float8E4M3FNType, Float8E5M2Type>(
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sourceAElemType);
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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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if (sourceAElemType != sourceBElemType &&
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!(isa<Float8E5M2Type, Float8E4M3FNType>(sourceAElemType) &&
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isa<Float8E5M2Type, Float8E4M3FNType>(sourceBElemType))) {
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return emitOpError(
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"source element types much match (except for fp8) but have ")
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<< sourceAType << " and " << sourceBType;
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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.isFloat(8) || sourceElem.isFloat(6) || sourceElem.isFloat(4)) {
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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.isFloat(8) && !sourceBElem.isFloat(6) &&
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!sourceBElem.isFloat(4))
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return emitOpError("expected both source operands to have small-float "
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"elements if one does");
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if (sourceLen != sourceBLen)
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return emitOpError(
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"expected both small-float 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("expected both non-small-float source operand types "
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"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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//===----------------------------------------------------------------------===//
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// DPPOp
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//===----------------------------------------------------------------------===//
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LogicalResult DPPOp::verify() {
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Type srcType = getSrc().getType();
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if (srcType.getIntOrFloatBitWidth() > 64) {
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return emitOpError("integer and floating point types larger than 64 bits "
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"are not supported");
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}
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DPPPerm kind = getKind();
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Attribute permArgument = getPermArgument().value_or(Attribute{});
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switch (kind) {
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case DPPPerm::quad_perm: {
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auto quadPermAttr = dyn_cast_or_null<ArrayAttr>(permArgument);
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if (!quadPermAttr || quadPermAttr.size() != 4) {
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return emitOpError("quad_perm attribute must have exactly 4 elements");
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}
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for (auto elem : quadPermAttr.getAsRange<IntegerAttr>()) {
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int32_t num = elem.getInt();
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if (num < 0 || num > 3) {
|
|
return emitOpError(
|
|
"Each element of quad_perm must be in the range [0, 3]");
|
|
}
|
|
}
|
|
} break;
|
|
|
|
case DPPPerm::row_shl:
|
|
case DPPPerm::row_shr:
|
|
case DPPPerm::row_ror: {
|
|
if (!permArgument) {
|
|
return emitOpError("Attribute '" + Twine(stringifyDPPPerm(kind)) +
|
|
"' value not specified");
|
|
}
|
|
if (auto intAttr = dyn_cast<IntegerAttr>(permArgument)) {
|
|
uint32_t attrValue = intAttr.getInt();
|
|
if (attrValue < 1 || attrValue > 15) {
|
|
return emitOpError("Attribute value must be between 1 and 15");
|
|
}
|
|
}
|
|
} break;
|
|
|
|
case DPPPerm::wave_shl:
|
|
case DPPPerm::wave_shr:
|
|
case DPPPerm::wave_rol:
|
|
case DPPPerm::wave_ror:
|
|
case DPPPerm::row_mirror:
|
|
case DPPPerm::row_half_mirror:
|
|
case DPPPerm::row_bcast_15:
|
|
case DPPPerm::row_bcast_31: {
|
|
if (permArgument && !isa<UnitAttr>(permArgument)) {
|
|
return emitOpError("Expected unit attribute for permArgument, but found "
|
|
"non-trivial argument");
|
|
}
|
|
break;
|
|
}
|
|
}
|
|
return success();
|
|
}
|
|
|
|
LogicalResult GatherToLDSOp::verify() {
|
|
MemRefType srcType = cast<MemRefType>(getSrc().getType());
|
|
MemRefType dstType = cast<MemRefType>(getDst().getType());
|
|
|
|
if (!dstType.areTrailingDimsContiguous(dstType.getRank()))
|
|
return emitOpError("destination types must be contiguous");
|
|
|
|
auto elemType = srcType.getElementType();
|
|
// Check $src and $dst element types are the same.
|
|
if (elemType != dstType.getElementType())
|
|
return emitOpError("source and destination element types must match");
|
|
|
|
// copy type sizes should be 1, 2, 4, 12 or 16 bytes.
|
|
auto transferType = getTransferType();
|
|
int transferSize;
|
|
if (auto vectorTransfer = dyn_cast<VectorType>(transferType)) {
|
|
transferSize = vectorTransfer.getNumElements() *
|
|
vectorTransfer.getElementTypeBitWidth();
|
|
} else {
|
|
transferSize = transferType.getIntOrFloatBitWidth();
|
|
}
|
|
if (!llvm::is_contained({8, 16, 32, 96, 128}, transferSize))
|
|
return emitOpError(
|
|
"Transfering type size must be 8, 16, 32, 96 or 128 bits");
|
|
|
|
if (!hasGlobalMemorySpace(srcType.getMemorySpace()) &&
|
|
!hasFatRawBufferMemorySpace(srcType.getMemorySpace()))
|
|
return emitOpError(
|
|
"source memory address space must be global or fat raw buffer");
|
|
|
|
if (!hasWorkgroupMemorySpace(dstType.getMemorySpace()))
|
|
return emitOpError("destination memory address space must be Workgroup");
|
|
|
|
return success();
|
|
}
|
|
|
|
LogicalResult TransposeLoadOp::verify() {
|
|
MemRefType srcType = cast<MemRefType>(getSrc().getType());
|
|
|
|
if (!hasWorkgroupMemorySpace(srcType.getMemorySpace()))
|
|
return emitOpError("source memory address space must be Workgroup");
|
|
|
|
auto transferType = cast<VectorType>(getType());
|
|
size_t numElements = transferType.getNumElements();
|
|
size_t elementTypeSize =
|
|
transferType.getElementType().getIntOrFloatBitWidth();
|
|
|
|
// ElementSize -> NumElements
|
|
const llvm::SmallDenseMap<size_t, size_t> KValidLoadSizeMap = {
|
|
{4, 16},
|
|
{6, 16},
|
|
{8, 8},
|
|
{16, 4},
|
|
};
|
|
|
|
auto validNumElems = KValidLoadSizeMap.find(elementTypeSize);
|
|
if (validNumElems == KValidLoadSizeMap.end()) {
|
|
return emitOpError("Unsupported element type size for transpose load: ")
|
|
<< elementTypeSize << " bits";
|
|
}
|
|
if (numElements != validNumElems->second) {
|
|
return emitOpError(
|
|
"Transferring type size mismatch: expected num of elements: ")
|
|
<< validNumElems->second;
|
|
}
|
|
|
|
return success();
|
|
}
|
|
|
|
#include "mlir/Dialect/AMDGPU/IR/AMDGPUEnums.cpp.inc"
|
|
|
|
#define GET_ATTRDEF_CLASSES
|
|
#include "mlir/Dialect/AMDGPU/IR/AMDGPUAttributes.cpp.inc"
|
|
|
|
#define GET_OP_CLASSES
|
|
#include "mlir/Dialect/AMDGPU/IR/AMDGPU.cpp.inc"
|