//===- 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_TensorDescAttr
//===----------------------------------------------------------------------===//

//===----------------------------------------------------------------------===//
// XeGPU_TensorDescType
//===----------------------------------------------------------------------===//
mlir::Type TensorDescType::parse(::mlir::AsmParser &parser) {
  llvm::SmallVector<int64_t> shape;
  mlir::Type elementType;
  mlir::FailureOr<mlir::Attribute> encoding;

  // 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
  if (mlir::succeeded(parser.parseOptionalComma())) {
    encoding = mlir::FieldParser<mlir::Attribute>::parse(parser);
    if (mlir::failed(encoding)) {
      parser.emitError(
          parser.getCurrentLocation(),
          "Failed to parse the attribute field for TensorDescType.\n");
      return {};
    }
  }

  // Parse literal '>'
  if (parser.parseGreater())
    return {};

  return TensorDescType::get(parser.getContext(), shape, elementType,
                             encoding.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;

  printer << ">";
}

} // 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>