提交 309911e2 编写于 作者: Z zhaojiaying01

add fetch kernel for FPGA, GPU_MALI

上级 32a8b7f6
/* 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. */
#ifdef FUSION_CONVADD_OP
#include "operators/kernel/fetch_kernel.h"
namespace paddle_mobile {
namespace operators {
template <>
bool FetchKernel<CPU, float>::Init(FetchParam<CPU> *param) {
return true;
}
template <>
void FetchKernel<CPU, float>::Compute(const FetchParam<CPU> &param) {
param.Out()->ShareDataWith(*(param.InputX()));
}
template class FetchKernel<CPU, float>;
} // namespace operators
} // namespace paddle_mobile
#endif
/* 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. */
#ifdef FUSION_CONVADD_OP
#include "operators/kernel/fetch_kernel.h"
namespace paddle_mobile {
namespace operators {
template <>
bool FetchKernel<CPU, float>::Init(FetchParam<CPU> *param) {
return true;
}
template <>
void FetchKernel<CPU, float>::Compute(const FetchParam<CPU> &param) {
param.Out()->ShareDataWith(*(param.InputX()));
}
template class FetchKernel<CPU, float>;
} // namespace operators
} // namespace paddle_mobile
#endif
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