text: /* Copyright 2019 The TensorFlow Authors. All Rights Reserved.
  
  Licensed under the Apache License, Version 2.0 (the "License");
  you may not use this file except in compliance with the License.
  You may obtain a copy of the License at
  
      http://www.apache.org/licenses/LICENSE-2.0
  
  Unless required by applicable law or agreed to in writing, software
  distributed under the License is distributed on an "AS IS" BASIS,
  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  See the License for the specific language governing permissions and
  limitations under the License.
  ==============================================================================*/
  
  // This file defines the operations used in the MHLO dialect.
  
  #ifndef TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_HLO_OPS_H_
  #define TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_HLO_OPS_H_
  
  #include "llvm/ADT/StringRef.h"
  #include "mlir/Dialect/Shape/IR/Shape.h"
  #include "mlir/Dialect/StandardOps/IR/Ops.h"
  #include "mlir/IR/Attributes.h"
  #include "mlir/IR/BuiltinTypes.h"
  #include "mlir/IR/Dialect.h"
  #include "mlir/IR/DialectImplementation.h"
  #include "mlir/IR/Location.h"
  #include "mlir/IR/MLIRContext.h"
  #include "mlir/IR/OpDefinition.h"
  #include "mlir/IR/Operation.h"
  #include "mlir/IR/TypeUtilities.h"
  #include "mlir/IR/Types.h"
  #include "mlir/Interfaces/InferTypeOpInterface.h"
  #include "mlir/Interfaces/SideEffectInterfaces.h"
  
  // clang-format off
  #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops_base.h"
  #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops_base_structs.h"
  #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops_base_enums.h"
  #include "mlir-hlo/Dialect/mhlo/IR/infer_shape_equality_op_interface.h"
  // clang-format on
  
  namespace mlir {
  class OpBuilder;
  
  namespace mhlo {
  
  class MhloDialect : public Dialect {
   public:
    explicit MhloDialect(MLIRContext *context);
    static StringRef getDialectNamespace() { return "mhlo"; }
  
    // Registered hook to materialize a constant operation from a given attribute
    // value with the desired resultant type.
    Operation *materializeConstant(OpBuilder &builder, Attribute value, Type type,
                                   Location loc) override;
  
    // Parses a type registered to this dialect.
    Type parseType(DialectAsmParser &parser) const override;
  
    // Prints a type registered to this dialect.
    void printType(Type type, DialectAsmPrinter &os) const override;
  };
  
  class TokenType : public Type::TypeBase<TokenType, Type, TypeStorage> {
   public:
    using Base::Base;
  };
  
  // Shape derivation function that computes the shape of the result based on an
  // operand. For a 2-dimensional input tensor, this produces IR of the form
  //
  //  %0 = dim %arg0, 0 : memref<?x?xf32>
  //  %1 = index_cast %0 : index to i64
  //  %2 = dim %arg0, 1 : memref<?x?xf32>
  //  %3 = index_cast %2 : index to i64
  //  %4 = "mhlo.scalars_to_dimension_tensor"(%1, %3)
  //    : (i64, i64) -> tensor<2xi64>
  //
  // and returns %4 as the shape value.
  LogicalResult deriveShapeFromOperand(
      OpBuilder *builder, Operation *op, Value operand,
      SmallVectorImpl<Value> *reifiedReturnShapes);
  
  // Type derivation function that returns a tensor type with a new element type.
  TensorType getSameShapeTensorType(TensorType tensor_type, Type element_type);
  
  }  // end namespace mhlo
  }  // end namespace mlir
  
  #define GET_OP_CLASSES
  #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h.inc"
  
  #endif  //  TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_HLO_OPS_H_
  