wehub-resource-sync
53 lines
2.0 KiB
C++
53 lines
2.0 KiB
C++
// Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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#pragma once
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#include <string>
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/funcs/detection/bbox_util.h"
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#include "paddle/phi/kernels/funcs/math_function.h"
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namespace phi {
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template <typename T, typename Context>
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void BoxClipKernel(const Context& dev_ctx,
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const DenseTensor& input,
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const DenseTensor& im_info,
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DenseTensor* output) {
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auto* input_box = &input;
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auto* im_info_p = &im_info;
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auto* output_box = output;
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dev_ctx.template Alloc<T>(output_box);
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if (input_box->lod().size()) {
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PADDLE_ENFORCE_EQ(input_box->lod().size(),
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1UL,
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common::errors::InvalidArgument(
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"Input(Input) of BoxClip only supports 1 level "
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"of LoD. But received the "
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"level = %d",
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input_box->lod().size()));
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}
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auto box_lod = input_box->lod().back();
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int64_t n = static_cast<int64_t>(box_lod.size() - 1);
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for (int i = 0; i < n; ++i) {
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DenseTensor im_info_slice = im_info_p->Slice(i, i + 1);
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DenseTensor box_slice = input_box->Slice(box_lod[i], box_lod[i + 1]);
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DenseTensor output_slice = output_box->Slice(box_lod[i], box_lod[i + 1]);
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funcs::ClipTiledBoxes<T>(dev_ctx, im_info_slice, box_slice, &output_slice);
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}
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}
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} // namespace phi
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