| /* 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_XLA_SERVICE_CPU_MLIR_EMITTER_H_ |
| #define TENSORFLOW_COMPILER_XLA_SERVICE_CPU_MLIR_EMITTER_H_ |
| |
| #include "llvm/IR/IRBuilder.h" |
| #include "llvm/IR/Value.h" |
| #include "mlir/IR/Builders.h" // from @llvm-project |
| #include "mlir/IR/Function.h" // from @llvm-project |
| #include "mlir/IR/MLIRContext.h" // from @llvm-project |
| #include "tensorflow/compiler/xla/shape.h" |
| #include "tensorflow/compiler/xla/status.h" |
| |
| namespace xla { |
| namespace cpu { |
| |
| // Create a new MLIR function with the name `func_name`, populate it with |
| // `emitter` and create a call, passing it the buffers defined by |
| // resultShape/resultPtr and operandShapes/operandPtrs. The function is added to |
| // the LLVM module at `b`s insertion point. |
| Status EmitMlirFuncAndCall( |
| mlir::MLIRContext *context, llvm::IRBuilder<> *b, const Shape &result_shape, |
| llvm::ArrayRef<Shape> operand_shapes, llvm::Value *result_ptr, |
| llvm::ArrayRef<llvm::Value *> operand_ptrs, llvm::StringRef func_name, |
| llvm::function_ref<void(mlir::OpBuilder *, mlir::FuncOp)> emitter); |
| |
| } // namespace cpu |
| } // namespace xla |
| |
| #endif // TENSORFLOW_COMPILER_XLA_SERVICE_CPU_MLIR_EMITTER_H_ |