wehub-resource-sync
75 lines
2.5 KiB
C++
75 lines
2.5 KiB
C++
// Copyright (c) 2022 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 "paddle/phi/core/dense_tensor.h"
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namespace phi {
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namespace funcs {
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template <typename T>
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HOSTDEVICE T DmcnIm2colBilinear(const T* bottom_data,
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const int data_width,
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const int height,
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const int width,
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T h,
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T w) {
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int h_low = floor(h);
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int w_low = floor(w);
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int h_high = h_low + 1;
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int w_high = w_low + 1;
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T lh = h - h_low;
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T lw = w - w_low;
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T hh = 1 - lh;
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T hw = 1 - lw;
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T v1 =
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(h_low >= 0 && w_low >= 0) ? bottom_data[h_low * data_width + w_low] : 0;
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T v2 = (h_low >= 0 && w_high <= width - 1)
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? bottom_data[h_low * data_width + w_high]
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: 0;
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T v3 = (h_high <= height - 1 && w_low >= 0)
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? bottom_data[h_high * data_width + w_low]
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: 0;
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T v4 = (h_high <= height - 1 && w_high <= width - 1)
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? bottom_data[h_high * data_width + w_high]
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: 0;
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T w1 = hh * hw;
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T w2 = hh * lw;
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T w3 = lh * hw;
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T w4 = lh * lw;
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return w1 * v1 + w2 * v2 + w3 * v3 + w4 * v4;
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}
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template <typename T, typename Context, typename IndexT>
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void ModulatedDeformableIm2col(const Context& dev_ctx,
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const T* data_im,
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const T* data_offset,
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const T* data_mask,
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const std::vector<int64_t>& im_shape,
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const std::vector<int64_t>& col_shape,
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const std::vector<int64_t>& filter_shape,
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const std::vector<int>& paddings,
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const std::vector<int>& strides,
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const std::vector<int>& dilations,
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const int deformable_groups,
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T* data_col);
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} // namespace funcs
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} // namespace phi
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