/* Copyright (c) 2018 PaddlePaddle 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. */ #pragma once #include #include // for shared_ptr #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/platform/macros.h" DECLARE_bool(dump_jitcode); namespace paddle { namespace operators { namespace jit { // TODO(TJ): make these functions as virtual of a class // Every JitCode should estimate the code size itself template size_t CodeSize(Attr attr) { return 4096; } // Every JitCode should have a condition when to use this JitCode template bool UseJitCode(Attr attr) { return false; } // Every JitCode should have a method to get the key from attribution template size_t GetKey(Attr attr); class GenBase : public Kernel { public: virtual const char* name() const = 0; virtual const unsigned char* getCodeInternal() = 0; virtual size_t getSize() const = 0; template const FUNC getCode() { const unsigned char* code = this->getCodeInternal(); if (FLAGS_dump_jitcode) { this->dumpCode(code); } return reinterpret_cast(code); } protected: void dumpCode(const unsigned char* code) const; }; template std::unique_ptr CreateJitCode(Attr attr); } // namespace jit } // namespace operators } // namespace paddle