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.
81 lines
2.8 KiB
81 lines
2.8 KiB
/* Copyright (c) 2016 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 "paddle/fluid/framework/eigen.h"
|
|
#include "paddle/fluid/framework/op_registry.h"
|
|
#include "paddle/fluid/operators/math/math_function.h"
|
|
#include "paddle/fluid/operators/math/sequence_pooling.h"
|
|
|
|
namespace paddle {
|
|
namespace operators {
|
|
|
|
using Tensor = framework::Tensor;
|
|
using LoDTensor = framework::LoDTensor;
|
|
|
|
template <typename DeviceContext, typename T>
|
|
class SequencePoolKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto* in = context.Input<LoDTensor>("X");
|
|
auto* out = context.Output<Tensor>("Out");
|
|
std::string pooltype = context.Attr<std::string>("pooltype");
|
|
Tensor* index = nullptr;
|
|
if (pooltype == "MAX") {
|
|
index = context.Output<Tensor>("MaxIndex");
|
|
}
|
|
|
|
auto dims = in->dims();
|
|
auto lod = in->lod();
|
|
// InferShape by lod
|
|
PADDLE_ENFORCE_EQ(lod.size(), 1UL, "Only support one level sequence now.");
|
|
PADDLE_ENFORCE_GE(
|
|
dims[0],
|
|
/*batch size = */ static_cast<int64_t>(lod[0].size() - 1),
|
|
"The first dimension of Input(X) must be large than batch size.");
|
|
dims[0] = lod[0].size() - 1;
|
|
out->Resize({dims});
|
|
out->mutable_data<T>(context.GetPlace());
|
|
if (pooltype == "MAX") {
|
|
index->Resize({dims});
|
|
index->mutable_data<int>(context.GetPlace());
|
|
}
|
|
math::SequencePoolFunctor<DeviceContext, T> pool;
|
|
pool(context.template device_context<DeviceContext>(), pooltype, *in, out,
|
|
index);
|
|
}
|
|
};
|
|
|
|
template <typename DeviceContext, typename T>
|
|
class SequencePoolGradKernel : public framework::OpKernel<T> {
|
|
public:
|
|
void Compute(const framework::ExecutionContext& context) const override {
|
|
auto* out_g = context.Input<Tensor>(framework::GradVarName("Out"));
|
|
auto* in_g = context.Output<LoDTensor>(framework::GradVarName("X"));
|
|
std::string pooltype = context.Attr<std::string>("pooltype");
|
|
const Tensor* index = nullptr;
|
|
if (pooltype == "MAX") {
|
|
index = context.Input<Tensor>("MaxIndex");
|
|
}
|
|
in_g->mutable_data<T>(context.GetPlace());
|
|
math::SequencePoolGradFunctor<DeviceContext, T> pool;
|
|
pool(context.template device_context<DeviceContext>(), pooltype, *out_g,
|
|
in_g, index);
|
|
}
|
|
};
|
|
|
|
} // namespace operators
|
|
} // namespace paddle
|