// 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 "paddle/fluid/lite/kernels/x86/batch_norm_compute.h"
REGISTER_LITE_KERNEL(batch_norm, kX86, kFloat, kNCHW,
paddle::lite::kernels::x86::BatchNormCompute<float>, def)
.BindInput("X", {LiteType::GetTensorTy(TARGET(kX86))})
.BindInput("Scale", {LiteType::GetTensorTy(TARGET(kX86))})
.BindInput("Bias", {LiteType::GetTensorTy(TARGET(kX86))})
.BindInput("Mean", {LiteType::GetTensorTy(TARGET(kX86))})
.BindInput("Variance", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("Y", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("MeanOut", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("VarianceOut", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("MeanOut", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("SavedMean", {LiteType::GetTensorTy(TARGET(kX86))})
.BindOutput("SavedVariance", {LiteType::GetTensorTy(TARGET(kX86))})
.Finalize();
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由 lijianshe02 提交于672d56d7