box_clip_op.h 2.1 KB
Newer Older
J
jerrywgz 已提交
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27
/* 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 "paddle/fluid/framework/op_registry.h"
#include "paddle/fluid/operators/detection/bbox_util.h"
#include "paddle/fluid/operators/math/math_function.h"

namespace paddle {
namespace operators {

using Tensor = framework::Tensor;
using LoDTensor = framework::LoDTensor;

template <typename DeviceContext, typename T>
class BoxClipKernel : public framework::OpKernel<T> {
 public:
  void Compute(const framework::ExecutionContext& context) const override {
28
    auto* input_box = context.Input<LoDTensor>("Input");
J
jerrywgz 已提交
29
    auto* im_info = context.Input<LoDTensor>("ImInfo");
30
    auto* output_box = context.Output<LoDTensor>("Output");
J
jerrywgz 已提交
31 32 33 34 35
    auto& dev_ctx =
        context.template device_context<platform::CPUDeviceContext>();
    output_box->mutable_data<T>(context.GetPlace());
    if (input_box->lod().size()) {
      PADDLE_ENFORCE_EQ(input_box->lod().size(), 1UL,
36 37 38
                        platform::errors::InvalidArgument(
                            "Input(Input) of "
                            "BoxClip only supports 1 level of LoD."));
J
jerrywgz 已提交
39 40 41 42 43 44 45 46 47 48 49 50 51 52
    }
    auto box_lod = input_box->lod().back();
    int64_t n = static_cast<int64_t>(box_lod.size() - 1);
    for (int i = 0; i < n; ++i) {
      Tensor im_info_slice = im_info->Slice(i, i + 1);
      Tensor box_slice = input_box->Slice(box_lod[i], box_lod[i + 1]);
      Tensor output_slice = output_box->Slice(box_lod[i], box_lod[i + 1]);
      ClipTiledBoxes<T>(dev_ctx, im_info_slice, box_slice, &output_slice);
    }
  }
};

}  // namespace operators
}  // namespace paddle