XeGPUDialect.cpp

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//===- XeGPUDialect.cpp - MLIR XeGPU dialect implementation -----*- C++ -*-===//
//
// 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/XeGPU/IR/XeGPU.h"
#include "mlir/IR/Builders.h"
#include "mlir/IR/DialectImplementation.h"
#include "llvm/ADT/TypeSwitch.h"
 
namespace mlir {
namespace xegpu {
 
void XeGPUDialect::initialize() {
  addTypes<
#define GET_TYPEDEF_LIST
#include <mlir/Dialect/XeGPU/IR/XeGPUTypes.cpp.inc>
      >();
  addOperations<
#define GET_OP_LIST
#include <mlir/Dialect/XeGPU/IR/XeGPU.cpp.inc>
      >();
  addAttributes<
#define GET_ATTRDEF_LIST
#include <mlir/Dialect/XeGPU/IR/XeGPUAttrs.cpp.inc>
      >();
}
 
//===----------------------------------------------------------------------===//
// XeGPU_BlockTensorDescAttr
//===----------------------------------------------------------------------===//
BlockTensorDescAttr BlockTensorDescAttr::get(mlir::MLIRContext *context,
                                             xegpu::MemorySpace memory_space,
                                             int array_length,
                                             bool boundary_check) {
  auto scopeAttr = MemorySpaceAttr::get(context, memory_space);
  auto lengthAttr =
      IntegerAttr::get(IntegerType::get(context, 64), array_length);
  auto boundaryAttr = BoolAttr::get(context, boundary_check);
  return Base::get(context, scopeAttr, lengthAttr, boundaryAttr);
}
 
//===----------------------------------------------------------------------===//
// XeGPU_ScatterTensorDescAttr
//===----------------------------------------------------------------------===//
ScatterTensorDescAttr
ScatterTensorDescAttr::get(mlir::MLIRContext *context,
                           xegpu::MemorySpace memory_space, int chunk_size) {
  auto scopeAttr = MemorySpaceAttr::get(context, memory_space);
  auto chunkSizeAttr =
      IntegerAttr::get(IntegerType::get(context, 64), chunk_size);
  return Base::get(context, scopeAttr, chunkSizeAttr);
}
 
//===----------------------------------------------------------------------===//
// XeGPU_SGMapAttr
//===----------------------------------------------------------------------===//
namespace {
template <typename T, unsigned N>
LogicalResult parseIntArrayField(::mlir::AsmParser &parser,
                                 llvm::SmallVector<T, N> &result,
                                 llvm::StringRef fieldName) {
  if (failed(parser.parseKeyword(fieldName))) {
    parser.emitError(parser.getCurrentLocation(),
                     "unexpected field name. Expected " + fieldName + ".");
    return failure();
  }
 
  if (failed(parser.parseEqual())) {
    parser.emitError(parser.getCurrentLocation(), "expected '=' sign.");
    return failure();
  }
 
  auto elemParser = [&]() -> llvm::ParseResult {
    uint32_t elem = 0;
    auto res = parser.parseInteger(elem);
    result.push_back(elem);
    return res;
  };
 
  return parser.parseCommaSeparatedList(AsmParser::Delimiter::Square,
                                        elemParser, fieldName);
}
} // namespace
 
mlir::Attribute SGMapAttr::parse(::mlir::AsmParser &parser,
                                 ::mlir::Type attrType) {
  if (failed(parser.parseLess()))
    return {};
 
  llvm::SmallVector<uint32_t, 2> wi_layout, wi_data;
  if (failed(parseIntArrayField(parser, wi_layout, "wi_layout")))
    return {};
 
  if (failed(parser.parseComma()))
    return {};
 
  if (failed(parseIntArrayField(parser, wi_data, "wi_data")))
    return {};
 
  return SGMapAttr::getChecked(
      [&]() { return parser.emitError(parser.getNameLoc()); },
      parser.getContext(), wi_layout, wi_data);
}
 
void SGMapAttr::print(::mlir::AsmPrinter &printer) const {
  printer << "<";
  printer.printKeywordOrString("wi_layout");
  printer << " = [" << getWiLayout() << "], ";
  printer.printKeywordOrString("wi_data");
  printer << " = [" << getWiData() << "]";
  printer << ">";
}
 
LogicalResult
SGMapAttr::verify(llvm::function_ref<mlir::InFlightDiagnostic()> emitError,
                  llvm::ArrayRef<uint32_t> wi_layout,
                  llvm::ArrayRef<uint32_t> wi_data) {
  if (wi_layout.size() != 2)
    return emitError() << "expected wi_layout of size 2";
  if (wi_data.size() != 2)
    return emitError() << "expected wi_data of size 2";
  return success();
}
 
//===----------------------------------------------------------------------===//
// XeGPU_TensorDescType
//===----------------------------------------------------------------------===//
 
mlir::Type TensorDescType::parse(::mlir::AsmParser &parser) {
  llvm::SmallVector<int64_t> shape;
  mlir::Type elementType;
  mlir::FailureOr<mlir::Attribute> encoding;
  mlir::FailureOr<mlir::Attribute> sg_map;
 
  // Parse literal '<'
  if (parser.parseLess())
    return {};
 
  auto shapeLoc = parser.getCurrentLocation();
  if (mlir::failed(parser.parseDimensionList(shape))) {
    parser.emitError(shapeLoc, "failed to parse parameter 'shape'");
    return {};
  }
 
  auto elemTypeLoc = parser.getCurrentLocation();
  if (mlir::failed(parser.parseType(elementType))) {
    parser.emitError(elemTypeLoc, "failed to parse parameter 'elementType'");
    return {};
  }
 
  // parse optional attributes
  while (mlir::succeeded(parser.parseOptionalComma())) {
    mlir::Attribute attr;
    ParseResult res = parser.parseAttribute(attr);
    if (mlir::succeeded(res)) {
      if (mlir::isa<SGMapAttr>(attr)) {
        sg_map = attr;
        continue;
      }
      if (mlir::isa<BlockTensorDescAttr, ScatterTensorDescAttr>(attr)) {
        encoding = attr;
        continue;
      }
    }
    parser.emitError(parser.getCurrentLocation(),
                     "Failed to parse the attribute.\n");
    return {};
  }
 
  // Parse literal '>'
  if (parser.parseGreater())
    return {};
 
  return TensorDescType::get(parser.getContext(), shape, elementType,
                             encoding.value_or(mlir::Attribute()),
                             sg_map.value_or(mlir::Attribute()));
}
 
void TensorDescType::print(::mlir::AsmPrinter &printer) const {
  printer << "<";
 
  auto shape = getShape();
  for (int64_t dim : shape) {
    if (mlir::ShapedType::isDynamic(dim))
      printer << '?';
    else
      printer << dim;
    printer << 'x';
  }
 
  printer << getElementType();
 
  if (auto encoding = getEncoding())
    printer << ", " << encoding;
 
  if (auto sg_map = getSgMap())
    printer << ", " << sg_map;
 
  printer << ">";
}
 
TensorDescType TensorDescType::get(llvm::ArrayRef<int64_t> shape,
                                   mlir::Type elementType, int array_length,
                                   bool boundary_check,
                                   MemorySpace memory_space,
                                   mlir::Attribute sg_map) {
  auto context = elementType.getContext();
  auto attr = BlockTensorDescAttr::get(context, memory_space, array_length,
                                       boundary_check);
  return Base::get(context, shape, elementType, attr, sg_map);
}
 
TensorDescType TensorDescType::get(llvm::ArrayRef<int64_t> shape,
                                   mlir::Type elementType, int chunk_size,
                                   MemorySpace memory_space,
                                   mlir::Attribute sg_map) {
  auto context = elementType.getContext();
  auto attr = ScatterTensorDescAttr::get(context, memory_space, chunk_size);
  return Base::get(context, shape, elementType, attr, sg_map);
}
 
} // namespace xegpu
} // namespace mlir
 
#include <mlir/Dialect/XeGPU/IR/XeGPUDialect.cpp.inc>
#define GET_ATTRDEF_CLASSES
#include <mlir/Dialect/XeGPU/IR/XeGPUAttrs.cpp.inc>
#define GET_TYPEDEF_CLASSES
#include <mlir/Dialect/XeGPU/IR/XeGPUTypes.cpp.inc>