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complete C++ part

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wangkuiyi-patch-1
fengjiayi 7 years ago
parent 238124909e
commit e2bb4d072d
3 changed files with 216 additions and 0 deletions
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100
paddle/fluid/operators/reverse_op.cc
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// 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 "paddle/fluid/operators/reverse_op.h"
#include <vector>
namespace paddle {
namespace operators {
class ReverseOp : public framework::OperatorWithKernel {
public:
using framework::OperatorWithKernel::OperatorWithKernel;
void InferShape(framework::InferShapeContext* ctx) const override {
PADDLE_ENFORCE(ctx->HasInput("X"), "Input(X) should not be null");
PADDLE_ENFORCE(ctx->HasOutput("Out"), "Output(Out) should not be null");
const auto& x_dims = ctx->GetInputDim("X");
const auto& axis = ctx->Attrs().Get<std::vector<int>>("axis");
PADDLE_ENFORCE(!axis.empty(), "'axis' can not be empty.");
for (int a : axis) {
PADDLE_ENFORCE_LT(a, x_dims.size(),
"The axis must be less than input tensor's rank.");
}
ctx->SetOutputDim("Out", x_dims);
}
};
class ReverseOpMaker : public framework::OpProtoAndCheckerMaker {
public:
void Make() override {
AddInput("X", "The LoDTensor to be flipped.");
AddOutput("Out", "The LoDTensor after flipping.");
AddAttr<std::vector<int>>(
"axis", "The axises that along which order of elements is reversed.");
AddComment(R"DOC(
Reverse Operator.
Reverse the order of elements in the input LoDTensor along given axises.
Case 1:
Given
X = [[1, 2, 3, 4, 5]
[6, 7, 8, 9, 10]
[11, 12, 13, 14, 15]],
and
axis = [0],
we get:
Out = [[11, 12, 13, 14, 15]
[6, 7, 8, 9, 10]
[1, 2, 3, 4, 5]].
Case 2:
Given
X = [[[1, 2, 3, 4]
[5, 6, 7, 8]]
[[9, 10, 11, 12]
[13, 14, 15, 16]]],
and
axis = [0, 2],
we get:
Out = [[[12, 11, 10, 9]
[16, 15, 14, 13]]
[[4, 3, 2, 1]
[8, 7, 6, 5]]],
)DOC");
}
};
} // namespace operators
} // namespace paddle
namespace ops = paddle::operators;
REGISTER_OPERATOR(reverse, ops::ReverseOp, ops::ReverseOpMaker,
paddle::framework::DefaultGradOpDescMaker<true>);
REGISTER_OPERATOR(reverse_grad, ops::ReverseOp);
REGISTER_OP_CPU_KERNEL(
reverse, ops::ReverseKernel<paddle::platform::CPUDeviceContext, int>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, int8_t>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, int64_t>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, bool>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, float>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, double>)
REGISTER_OP_CPU_KERNEL(
reverse_grad, ops::ReverseKernel<paddle::platform::CPUDeviceContext, int>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, int8_t>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, int64_t>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, bool>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, float>,
ops::ReverseKernel<paddle::platform::CPUDeviceContext, double>)

31
paddle/fluid/operators/reverse_op.cu
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// 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 "paddle/fluid/operators/reverse_op.h"
namespace ops = paddle::operators;
REGISTER_OP_CUDA_KERNEL(
reverse, ops::ReverseKernel<paddle::platform::CUDADeviceContext, int>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, int8_t>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, int64_t>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, bool>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, float>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, double>)
REGISTER_OP_CUDA_KERNEL(
reverse_grad, ops::ReverseKernel<paddle::platform::CUDADeviceContext, int>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, int8_t>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, int64_t>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, bool>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, float>,
ops::ReverseKernel<paddle::platform::CUDADeviceContext, double>)

85
paddle/fluid/operators/reverse_op.h
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// 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 <vector>
#include "paddle/fluid/framework/eigen.h"
#include "paddle/fluid/framework/op_registry.h"
namespace paddle {
namespace operators {
template <typename DeviceContext, typename T, int Rank>
struct ReverseFunctor {
void operator()(const DeviceContext& context, const framework::LoDTensor& in,
framework::LoDTensor* out, const std::vector<int>& axis) {
Eigen::array<bool, Rank> reverse_axis;
reverse_axis.fill(false);
for (int a : axis) {
reverse_axis[a] = true;
}
auto in_eigen = framework::EigenTensor<T, Rank>::From(in);
auto out_eigen = framework::EigenTensor<T, Rank>::From(*out);
auto* dev = context.eigen_device();
out_eigen.device(*dev) = in_eigen.reverse(reverse_axis);
}
};
template <typename DeviceContext, typename T>
class ReverseKernel : public framework::OpKernel<T> {
public:
void Compute(const framework::ExecutionContext& context) const override {
auto* x = context.Input<framework::LoDTensor>("X");
auto* out = context.Output<framework::LoDTensor>("Out");
out->mutable_data<T>(context.GetPlace());
const auto& axis = context.Attr<std::vector<int>>("axis");
int rank = x->dims().size();
auto& dev_ctx = context.template device_context<DeviceContext>();
switch (rank) {
case 1:
ReverseFunctor<DeviceContext, T, 1> functor1;
functor1(dev_ctx, *x, out, axis);
break;
case 2:
ReverseFunctor<DeviceContext, T, 2> functor2;
functor2(dev_ctx, *x, out, axis);
break;
case 3:
ReverseFunctor<DeviceContext, T, 3> functor3;
functor3(dev_ctx, *x, out, axis);
break;
case 4:
ReverseFunctor<DeviceContext, T, 4> functor4;
functor4(dev_ctx, *x, out, axis);
break;
case 5:
ReverseFunctor<DeviceContext, T, 5> functor5;
functor5(dev_ctx, *x, out, axis);
break;
case 6:
ReverseFunctor<DeviceContext, T, 6> functor6;
functor6(dev_ctx, *x, out, axis);
break;
default:
PADDLE_THROW(
"Reserve operator doesn't supports tensors whose ranks are greater "
"than 6.");
}
}
};
} // namespace operators
} // namespace paddle
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