mirror of
https://github.com/Tencent/ncnn.git
synced 2026-10-24 01:29:31 +08:00
nihui
11cffce114
* runtime cpu dispatch * force thread one * disable openmp for coverage * simplify test layer * print NCNN_TARGET_ARCH * less ci build variants * weight fp16 storage option * test convdw int8 * apple a12 a13 * ncnn_add_layer ncnn_add_shader cmake macro
77 lines
3.0 KiB
C++
77 lines
3.0 KiB
C++
// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2020 THL A29 Limited, a Tencent company. All rights reserved.
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//
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// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
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// in compliance with the License. You may obtain a copy of the License at
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//
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// https://opensource.org/licenses/BSD-3-Clause
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//
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// Unless required by applicable law or agreed to in writing, software distributed
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// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
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// CONDITIONS OF ANY KIND, either express or implied. See the License for the
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// specific language governing permissions and limitations under the License.
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#include "layer/padding.h"
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#include "testutil.h"
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static int test_padding(int w, int h, int c, int top, int bottom, int left, int right, int type, float value, int per_channel_pad_data_size, int front, int behind)
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{
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ncnn::Mat a = RandomMat(w, h, c);
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ncnn::ParamDict pd;
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pd.set(0, top); // top
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pd.set(1, bottom); // bottom
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pd.set(2, left); // left
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pd.set(3, right); // right
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pd.set(4, type); // type
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pd.set(5, value); // value
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if (per_channel_pad_data_size != 0)
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{
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per_channel_pad_data_size = c + front + behind;
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}
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pd.set(6, per_channel_pad_data_size); // per_channel_pad_data_size
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pd.set(7, front);
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pd.set(8, behind);
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std::vector<ncnn::Mat> weights(per_channel_pad_data_size ? 1 : 0);
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if (per_channel_pad_data_size)
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weights[0] = RandomMat(per_channel_pad_data_size);
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int ret = test_layer<ncnn::Padding>("Padding", pd, weights, a);
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if (ret != 0)
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{
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fprintf(stderr, "test_padding failed w=%d h=%d c=%d top=%d bottom=%d left=%d right=%d front=%d behind=%d type=%d value=%f per_channel_pad_data_size=%d\n", w, h, c, top, bottom, left, right, front, behind, type, value, per_channel_pad_data_size);
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}
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return ret;
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}
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static int test_padding_0()
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{
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return 0
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|| test_padding(5, 7, 16, 1, 1, 1, 1, 0, 0.f, 0, 4, 0)
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|| test_padding(5, 7, 16, 4, 3, 4, 3, 1, 0.f, 0, 4, 0)
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|| test_padding(5, 7, 16, 4, 3, 4, 3, 2, 0.f, 0, 4, 0)
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|| test_padding(5, 7, 16, 1, 1, 1, 1, 0, 0.f, 0, 0, 4)
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|| test_padding(5, 7, 17, 2, 3, 2, 3, 1, 0.f, 0, 4, 9)
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|| test_padding(5, 7, 12, 4, 3, 4, 3, 0, 1.f, 0, 4, 8)
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|| test_padding(5, 7, 16, 4, 3, 4, 3, 2, 0.f, 0, 4, 8)
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|| test_padding(5, 7, 16, 4, 3, 4, 3, 0, 0.f, 16, 4, 2)
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|| test_padding(5, 7, 8, 2, 3, 2, 3, 1, 0.f, 22, 8, 0)
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|| test_padding(5, 7, 6, 4, 3, 4, 3, 2, 0.f, 0, 2, 4)
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|| test_padding(5, 7, 7, 0, 1, 0, 1, 0, 233.f, 0, 3, 1)
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|| test_padding(5, 7, 3, 2, 1, 2, 1, 0, 0.f, 3, 0, 4)
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|| test_padding(5, 7, 16, 2, 1, 2, 1, 2, 0.f, 3, 4, 4)
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|| test_padding(5, 7, 16, 2, 1, 2, 1, 0, 0.f, 3, 8, 8)
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|| test_padding(5, 7, 16, 2, 1, 2, 1, 1, 0.f, 3, 8, 8)
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|| test_padding(5, 7, 16, 2, 1, 2, 1, 2, 0.f, 3, 8, 8);
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}
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int main()
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{
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SRAND(7767517);
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return test_padding_0();
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}
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