1 /* Copyright 2019 The TensorFlow Authors. All Rights Reserved. 2 3 Licensed under the Apache License, Version 2.0 (the "License"); 4 you may not use this file except in compliance with the License. 5 You may obtain a copy of the License at 6 7 http://www.apache.org/licenses/LICENSE-2.0 8 9 Unless required by applicable law or agreed to in writing, software 10 distributed under the License is distributed on an "AS IS" BASIS, 11 WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 12 See the License for the specific language governing permissions and 13 limitations under the License. 14 ==============================================================================*/ 15 16 // This file defines the tf_executor dialect: it models the TensorFlow executor 17 // semantics and can represent arbitrary TensorFlow graphs. As such it follows 18 // the existing execution model that includes deadness propagation, concurrent 19 // semantics, and control dependencies. 20 21 #ifndef TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_EXECUTOR_H_ 22 #define TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_EXECUTOR_H_ 23 24 #include "mlir/Dialect/Traits.h" // from @llvm-project 25 #include "mlir/IR/Attributes.h" // from @llvm-project 26 #include "mlir/IR/Builders.h" // from @llvm-project 27 #include "mlir/IR/BuiltinTypes.h" // from @llvm-project 28 #include "mlir/IR/Dialect.h" // from @llvm-project 29 #include "mlir/IR/Matchers.h" // from @llvm-project 30 #include "mlir/IR/OpImplementation.h" // from @llvm-project 31 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_types.h" 32 33 namespace mlir { 34 namespace tf_executor { 35 36 class TensorFlowExecutorDialect : public Dialect { 37 public: getDialectNamespace()38 static StringRef getDialectNamespace() { return "tf_executor"; } 39 explicit TensorFlowExecutorDialect(MLIRContext *context); 40 41 // Parses a type registered to this dialect. 42 Type parseType(DialectAsmParser &parser) const override; 43 44 // Prints a type registered to this dialect. 45 void printType(Type type, DialectAsmPrinter &os) const override; 46 }; 47 48 // The Control type is a token-like value that models control dependencies from 49 // TensorFlow graphs. 50 class ControlType : public Type::TypeBase<ControlType, Type, TypeStorage> { 51 public: 52 using Base::Base; 53 }; 54 55 class TokenType : public Type::TypeBase<TokenType, Type, TypeStorage> { 56 public: 57 using Base::Base; 58 }; 59 60 } // namespace tf_executor 61 } // namespace mlir 62 63 // Declares the operations for this dialect using the generated header. 64 #define GET_OP_CLASSES 65 #include "tensorflow/compiler/mlir/tensorflow/ir/tf_executor.h.inc" 66 67 #endif // TENSORFLOW_COMPILER_MLIR_TENSORFLOW_IR_TF_EXECUTOR_H_ 68