提交 f68a881e 编写于 作者: qnqinan's avatar qnqinan

add fusion_fc_relu op

上级 f02ea55c
/* 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_FC_RELU_OP
#include "operators/fusion_fc_relu_op.h"
namespace paddle_mobile {
namespace operators {
template <typename Dtype, typename T>
void FusionFcReluOp<Dtype, T>::InferShape() const {
auto x_dims = this->param_.InputX()->dims();
auto y_dims = this->param_.InputY()->dims();
int x_num_col_dims = this->param_.XNumColDims();
int y_num_col_dims = this->param_.YNumColDims();
assert(x_dims.size() > x_num_col_dims);
assert(y_dims.size() > y_num_col_dims);
/// (1,2,3,4) , x_num_col_dims = 2 -> (2,12)
auto x_mat_dims = framework::flatten_to_2d(x_dims, x_num_col_dims);
auto y_mat_dims = framework::flatten_to_2d(y_dims, y_num_col_dims);
assert(x_mat_dims[1] == y_mat_dims[0]);
std::vector<int64_t> output_dims;
output_dims.reserve(
static_cast<size_t>(x_num_col_dims + y_dims.size() - y_num_col_dims));
for (int i = 0; i < x_num_col_dims; ++i) {
output_dims.push_back(x_dims[i]);
}
for (int i = y_num_col_dims; i < y_dims.size(); ++i) {
output_dims.push_back(y_dims[i]);
}
framework::DDim ddim = framework::make_ddim(output_dims);
this->param_.Out()->Resize(ddim);
}
} // namespace operators
} // namespace paddle_mobile
namespace ops = paddle_mobile::operators;
#ifdef PADDLE_MOBILE_CPU
REGISTER_OPERATOR_CPU(fusion_fc_relu, ops::FusionFcReluOp);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
REGISTER_OPERATOR_MALI_GPU(fusion_fc_relu, ops::FusionFcReluOp);
#endif
#ifdef PADDLE_MOBILE_FPGA
#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 FUSION_FC_RELU_OP
#pragma once
#include <string>
#include <vector>
#include "framework/operator.h"
#include "framework/program/program-optimize/fusion_op_register.h"
#include "operators/kernel/fusion_fc_relu_kernel.h"
namespace paddle_mobile {
namespace operators {
using std::string;
using std::vector;
class FusionFcReluMatcher : public framework::FusionOpMatcher {
public:
FusionFcReluMatcher() {
node_ = framework::Node(G_OP_TYPE_MUL);
node_ > std::make_shared<framework::Node>(G_OP_TYPE_ELEMENTWISE_ADD) >
std::make_shared<framework::Node>(G_OP_TYPE_RELU);
}
void FolderNodes(
framework::Node *node,
std::vector<std::shared_ptr<framework::Node>> *removed_nodes) {
node->Folder(node_.Depth(), Type(),
{{G_OP_TYPE_ELEMENTWISE_ADD, {{"Y", "Z"}}}}, removed_nodes);
}
std::string Type() { return G_OP_TYPE_FUSION_FC_RELU; }
};
template <typename DeviceType, typename T>
class FusionFcReluOp
: public framework::OperatorWithKernel<
DeviceType, FusionFcReluParam, operators::FusionFcReluKernel<DeviceType, T>> {
public:
FusionFcReluOp(const string &type, const VariableNameMap &inputs,
const VariableNameMap &outputs,
const framework::AttributeMap &attrs,
std::shared_ptr<framework::Scope> scope)
: framework::OperatorWithKernel<DeviceType, FusionFcReluParam,
operators::FusionFcReluKernel<DeviceType, T>>(
type, inputs, outputs, attrs, scope) {}
using framework::OperatorWithKernel<
DeviceType, FusionFcReluParam,
operators::FusionFcReluKernel<DeviceType, T>>::OperatorWithKernel;
void InferShape() const override;
protected:
};
#ifdef PADDLE_MOBILE_CPU
#ifndef FUSION_FC_RELU_REGISTER
#define FUSION_FC_RELU_REGISTER
static framework::FusionOpRegistrar fc_relu_registrar(new FusionFcReluMatcher());
#endif
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
#ifndef FUSION_FC_RELU_REGISTER
#define FUSION_FC_RELU_REGISTER
static framework::FusionOpRegistrar fc_relu_registrar(new FusionFcReluMatcher());
#endif
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
} // namespace operators
} // namespace paddle_mobile
#ifdef PADDLE_MOBILE_CPU
USE_OP_CPU(fusion_fc_relu);
#endif
#ifdef PADDLE_MOBILE_MALI_GPU
USE_OP_MALI_GPU(fusion_fc_relu);
#endif
#ifdef PADDLE_MOBILE_FPGA
#endif
#endif //FUSION_FC_RELU_OP
/* 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_FC_RELU_OP
#pragma once
#include "framework/operator.h"
#include "operators/math/math_function.h"
#include "operators/op_param.h"
namespace paddle_mobile {
namespace operators {
template <typename DeviceType, typename T>
class FusionFcReluKernel
: public framework::OpKernelBase<DeviceType, FusionFcReluParam> {
public:
void Compute(const FusionFcReluParam& param) const;
bool Init(FusionFcReluParam* param);
};
} // namespace operators
} // namespace paddle_mobile
#endif
Markdown is supported
0% .
You are about to add 0 people to the discussion. Proceed with caution.
先完成此消息的编辑!
想要评论请 注册