// Copyright (c) 2022 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 "paddle/infrt/host_context/kernel_utils.h" #include "paddle/infrt/kernel/phi/infershaped/infershaped_kernel_launcher.h" #include "paddle/infrt/kernel/phi/infershaped/infershaped_utils.h" namespace infrt { namespace kernel { template class KernelLauncher : public InferShapedKernelLauncher { public: static const uint16_t num_input_tensors{InferShapeHelper::count}; static const bool turn_on_infer_shape_cache{true}; void Invoke(host_context::KernelFrame* frame) override { // Build the infershape KernelFrame if needed. // TODO(Superjomn) add unlikely here. if (infershape_kernel_frame_builder.IsEmpty()) { CreateKernelFrameForInferShape(frame); } if (turn_on_infer_shape_cache) { if (!turn_on_infer_shape_cache || IsShapeChanged(num_input_tensors)) { ::infrt::host_context::KernelImpl::Invoke( &infershape_kernel_frame_builder); BuildInferShapeCache(num_input_tensors); } } ::infrt::host_context::KernelImpl::Invoke(frame); } }; template void KernelLauncherFunc( KernelLauncher launcher, host_context::KernelFrame* frame) { launcher.Invoke(frame); } } // namespace kernel } // namespace infrt