67 lines
2.3 KiB
C++
67 lines
2.3 KiB
C++
/* 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/infer_fusibility_op_interface.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/StandardTypes.h"
|
|
#include "mlir/IR/TypeUtilities.h"
|
|
#include "mlir/IR/Types.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"; }
|
|
};
|
|
|
|
#define GET_OP_CLASSES
|
|
#include "mlir-hlo/Dialect/mhlo/IR/chlo_ops.h.inc"
|
|
|
|
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);
|
|
}
|
|
|
|
} // namespace chlo
|
|
} // namespace mlir
|
|
|
|
#endif // TENSORFLOW_COMPILER_MLIR_HLO_INCLUDE_MLIR_HLO_DIALECT_MHLO_IR_CHLO_OPS_H_
|