提交 acf3f361 编写于 作者: qnqinan's avatar qnqinan

update

上级 b3922605
...@@ -58,6 +58,7 @@ REGISTER_OPERATOR_CPU(relu6, ops::Relu6Op); ...@@ -58,6 +58,7 @@ REGISTER_OPERATOR_CPU(relu6, ops::Relu6Op);
REGISTER_OPERATOR_MALI_GPU(relu, ops::ReluOp); REGISTER_OPERATOR_MALI_GPU(relu, ops::ReluOp);
#endif #endif
#ifdef PADDLE_MOBILE_FPGA #ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(relu, ops::ReluOp);
#endif #endif
#ifdef PADDLE_MOBILE_CL #ifdef PADDLE_MOBILE_CL
REGISTER_OPERATOR_CL(relu, ops::ReluOp); REGISTER_OPERATOR_CL(relu, ops::ReluOp);
......
...@@ -14,7 +14,7 @@ limitations under the License. */ ...@@ -14,7 +14,7 @@ limitations under the License. */
#ifdef RELU_OP #ifdef RELU_OP
#include "operators/kernel/relu_kernel.h" #include "operators/kernel/activation_kernel.h"
namespace paddle_mobile { namespace paddle_mobile {
namespace operators { namespace operators {
......
/* 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. */
#include "framework/operator.h"
#include "operators/op_param.h"
#pragma once
namespace paddle_mobile {
namespace operators {
template <typename DeviceType, typename T>
class ReluKernel
: public framework::OpKernelBase<DeviceType, ReluParam<DeviceType>> {
public:
void Compute(const ReluParam<DeviceType>& param);
bool Init(ReluParam<DeviceType>* param);
};
} // namespace operators
} // namespace paddle_mobile
/* 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 RELU_OP
#include "operators/relu_op.h"
namespace paddle_mobile {
namespace operators {
template <typename Dtype, typename T>
void ReluOp<Dtype, T>::InferShape() const {
auto input_dims = this->param_.InputX()->dims();
this->param_.Out()->Resize(input_dims);
}
} // namespace operators
} // namespace paddle_mobile
/*
* @b 每一个 op 都需要注册一下的,
* USE_OP的参数 和 REGISTER_OPERATOR的第一个参数
* 都是需要和model中类型对应起来的
* */
namespace ops = paddle_mobile::operators;
#ifdef PADDLE_MOBILE_CPU
REGISTER_OPERATOR_CPU(relu, ops::ReluOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
REGISTER_OPERATOR_MALI_GPU(relu, ops::ReluOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
REGISTER_OPERATOR_FPGA(relu, ops::ReluOp);
#endif
#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 RELU_OP
#pragma once
#include <string>
#include "framework/operator.h"
#include "operators/kernel/relu_kernel.h"
#include "operators/op_param.h"
namespace paddle_mobile {
namespace operators {
using paddle_mobile::framework::Tensor;
template <typename DeviceType, typename T>
class ReluOp : public framework::OperatorWithKernel<
DeviceType, ReluParam<DeviceType>,
operators::ReluKernel<DeviceType, T>> {
public:
ReluOp(const std::string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs, const framework::AttributeMap &attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType, ReluParam<DeviceType>,
operators::ReluKernel<DeviceType, T>>(
type, inputs, outputs, attrs, scope) {}
void InferShape() const override;
protected:
};
} // namespace operators
} // namespace paddle_mobile
#endif
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