You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
89 lines
3.0 KiB
89 lines
3.0 KiB
/* 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. */
|
|
|
|
#pragma once
|
|
|
|
#include <string>
|
|
#include <vector>
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/operators/math/fc.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
using Tensor = framework::Tensor;
|
|
|
|
class FCOpGrad : public framework::OperatorWithKernel {
|
|
public:
|
|
using framework::OperatorWithKernel::OperatorWithKernel;
|
|
|
|
void InferShape(framework::InferShapeContext* ctx) const override;
|
|
|
|
protected:
|
|
framework::OpKernelType GetExpectedKernelType(
|
|
const framework::ExecutionContext& ctx) const override;
|
|
};
|
|
|
|
inline void FCOutputSize(const framework::DDim& in_dims,
|
|
const framework::DDim& w_dims,
|
|
std::vector<int64_t>& out_dims, // NOLINT
|
|
int in_num_col_dims) {
|
|
auto in_mat_dims = framework::flatten_to_2d(in_dims, in_num_col_dims);
|
|
PADDLE_ENFORCE_EQ(
|
|
in_mat_dims[1], w_dims[0],
|
|
"Fully Connected input and weigth size do not match. %s, %s");
|
|
|
|
out_dims.reserve(static_cast<size_t>(in_num_col_dims + 1));
|
|
for (int i = 0; i < in_num_col_dims; ++i) {
|
|
out_dims.push_back(in_dims[i]);
|
|
}
|
|
out_dims.push_back(w_dims[1]);
|
|
}
|
|
|
|
template <typename DeviceContext, typename T>
|
|
class FCOpKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const paddle::framework::ExecutionContext& ctx) const override {
|
|
auto* input = ctx.Input<framework::LoDTensor>("Input");
|
|
auto* w = ctx.Input<Tensor>("W");
|
|
auto* bias = ctx.Input<Tensor>("Bias");
|
|
auto* output = ctx.Output<framework::LoDTensor>("Out");
|
|
int in_num_col_dims = ctx.Attr<int>("in_num_col_dims");
|
|
bool with_relu =
|
|
(ctx.Attr<std::string>("activation_type") == "relu") ? true : false;
|
|
|
|
auto w_dims = w->dims();
|
|
|
|
std::vector<int64_t> output_dims;
|
|
FCOutputSize(input->dims(), w_dims, output_dims, in_num_col_dims);
|
|
output->Resize(framework::make_ddim(output_dims));
|
|
output->set_lod(input->lod());
|
|
|
|
auto out_dims = output->dims();
|
|
int M = framework::product(out_dims) / w_dims[1];
|
|
|
|
const T* input_data = input->data<T>();
|
|
const T* w_data = w->data<T>();
|
|
T* output_data = output->mutable_data<T>(ctx.GetPlace());
|
|
|
|
auto& dev_ctx = ctx.template device_context<DeviceContext>();
|
|
math::FCFunctor<DeviceContext, T> fc;
|
|
fc(dev_ctx, M, w_dims[1], w_dims[0], input_data, w_data, output_data,
|
|
bias ? bias->data<T>() : NULL, with_relu);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|