text: /* Copyright 2020 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.
  ==============================================================================*/
  
  #ifndef TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_CHLO_OPS_H_
  #define TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_CHLO_OPS_H_
  
  #include "llvm/ADT/StringRef.h"
  #include "mlir-hlo/Dialect/mhlo/IR/hlo_ops.h"
  #include "mlir-hlo/Dialect/mhlo/IR/infer_fusibility_op_interface.h"
  #include "mlir/IR/BuiltinTypes.h"
  #include "mlir/IR/Dialect.h"
  #include "mlir/IR/DialectImplementation.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/ControlFlowInterfaces.h"
  #include "mlir/Interfaces/InferTypeOpInterface.h"
  #include "mlir/Interfaces/SideEffectInterfaces.h"
  
  namespace mlir {
  namespace chlo {
  
  class HloClientDialect : public Dialect {
    void initialize();
  
   public:
    explicit HloClientDialect(MLIRContext* context)
        : Dialect(getDialectNamespace(), context,
                  TypeID::get<HloClientDialect>()) {
      initialize();
    }
    static StringRef getDialectNamespace() { return "chlo"; }
  };
  
  }  // namespace chlo
  }  // namespace mlir
  
  namespace mlir {
  namespace chlo {
  namespace OpTrait {
  
  template <typename ConcreteType>
  class BroadcastingElementwise
      : public mlir::OpTrait::TraitBase<ConcreteType, BroadcastingElementwise> {};
  
  template <typename ConcreteType>
  class Broadcasting
      : public mlir::OpTrait::TraitBase<ConcreteType, Broadcasting> {};
  
  }  // namespace OpTrait
  }  // namespace chlo
  }  // namespace mlir
  
  #define GET_OP_CLASSES
  #include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h.inc"
  
  namespace mlir {
  namespace chlo {
  
  template <typename T>
  static Value getConstantLike(OpBuilder& b, Location loc, T constant,
                               Value val) {
    Type ty = getElementTypeOrSelf(val.getType());
  
    auto getAttr = [&]() -> Attribute {
      if (ty.isa<IntegerType>()) return b.getIntegerAttr(ty, constant);
      if (ty.isa<FloatType>()) return b.getFloatAttr(ty, constant);
      llvm_unreachable("unhandled element type");
    };
    return b.create<ConstantLikeOp>(loc, getAttr(), val);
  }
  
  Value getConstantLike(OpBuilder& b, Location loc, const APFloat& constant,
                        Value val);
  
  Value getConstantLikeMaxFiniteValue(OpBuilder& b, Location loc, Value val);
  
  Value getConstantLikeInfValue(OpBuilder& b, Location loc, Value val,
                                bool negative);
  
  Value getConstantLikeSmallestFiniteValue(OpBuilder& b, Location loc, Value val);
  
  }  // namespace chlo
  }  // namespace mlir
  
  #endif  // TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_CHLO_OPS_H_
  