wehub-resource-sync
50 lines
2.0 KiB
C++
50 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 <algorithm>
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#include <string>
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namespace phi {
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inline std::vector<int64_t> CorrelationOutputSize(int batch,
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int input_height,
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int input_width,
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int stride1,
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int stride2,
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int kernel_size,
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int pad_size,
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int max_displacement) {
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std::vector<int64_t> output_shape({batch});
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int kernel_radius = (kernel_size - 1) / 2;
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int border_radius = kernel_radius + max_displacement;
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int padded_input_height = input_height + 2 * pad_size;
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int padded_input_width = input_width + 2 * pad_size;
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int output_channel = ((max_displacement / stride2) * 2 + 1) *
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((max_displacement / stride2) * 2 + 1);
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output_shape.push_back(output_channel);
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int output_height =
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std::ceil(static_cast<float>(padded_input_height - 2 * border_radius) /
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static_cast<float>(stride1));
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int output_width =
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std::ceil(static_cast<float>(padded_input_width - 2 * border_radius) /
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static_cast<float>(stride1));
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output_shape.push_back(output_height);
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output_shape.push_back(output_width);
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return output_shape;
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}
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} // namespace phi
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