// Copyright (c) 2019 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. #include "lite/kernels/fpga/pooling_compute.h" #include #include #include "lite/core/op_registry.h" #include "lite/core/type_system.h" namespace paddle { namespace lite { namespace kernels { namespace fpga { using float16 = zynqmp::float16; void PoolCompute::PrepareForRun() { zynqmp::PoolingParam& pool_param = pe_.param(); auto& param = Param(); param.output->mutable_data(); pool_param.input = param.x->ZynqTensor(); pool_param.output = param.output->ZynqTensor(); pool_param.relu.enabled = false; pool_param.type = param.pooling_type == "max" ? zynqmp::PoolingType::MAX : zynqmp::PoolingType::AVERAGE; pool_param.globalPooling = param.global_pooling; pool_param.kernelSize = param.ksize; pool_param.strides = param.strides; pool_param.paddings = param.paddings; pe_.init(); pe_.apply(); } void PoolCompute::Run() { pe_.dispatch(); } } // namespace fpga } // namespace kernels } // namespace lite } // namespace paddle REGISTER_LITE_KERNEL( pool2d, kFPGA, kFP16, kNHWC, paddle::lite::kernels::fpga::PoolCompute, def) .BindInput("X", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNHWC))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNHWC))}) .Finalize();