// 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/calib_compute.h" #include #include "lite/backends/fpga/KD/float16.hpp" #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 CalibComputeFp32ToFP16::Run() { auto& param = this->Param(); const auto* din = param.input->data(); auto* dout = param.output->mutable_data(TARGET(kFPGA)); for (int i = 0; i < param.input->numel(); ++i) { dout[i] = zynqmp::float_to_half(din[i]); } return; } void CalibComputeFP16ToFp32::Run() { auto& param = this->Param(); const auto* din = param.input->data(); auto* dout = param.output->mutable_data(TARGET(kFPGA)); for (int i = 0; i < param.input->numel(); ++i) { dout[i] = zynqmp::half_to_float(din[i]); } return; } } // namespace fpga } // namespace kernels } // namespace lite } // namespace paddle REGISTER_LITE_KERNEL(calib, kFPGA, kFP16, kNHWC, paddle::lite::kernels::fpga::CalibComputeFp32ToFP16, fp32_to_fp16_fpga) .BindInput("Input", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFloat), DATALAYOUT(kNCHW))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNCHW))}) .Finalize(); REGISTER_LITE_KERNEL(calib, kFPGA, kFP16, kNHWC, paddle::lite::kernels::fpga::CalibComputeFP16ToFp32, fp16_to_fp32_fpga) .BindInput("Input", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNHWC))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFloat), DATALAYOUT(kNHWC))}) .Finalize(); REGISTER_LITE_KERNEL(calib_once, kFPGA, kFP16, kNHWC, paddle::lite::kernels::fpga::CalibComputeFp32ToFP16, fp32_to_fp16_fpga) .BindInput("Input", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFloat), DATALAYOUT(kNCHW))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNCHW))}) .Finalize(); REGISTER_LITE_KERNEL(calib_once, kFPGA, kFP16, kNHWC, paddle::lite::kernels::fpga::CalibComputeFP16ToFp32, fp16_to_fp32_fpga) .BindInput("Input", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFP16), DATALAYOUT(kNHWC))}) .BindOutput("Out", {LiteType::GetTensorTy(TARGET(kFPGA), PRECISION(kFloat), DATALAYOUT(kNHWC))}) .Finalize();