ncnn

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// Tencent is pleased to support the open source community by making ncnn available.
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//
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// Copyright (C) 2021 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 "testutil.h"
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static int test_bias(const ncnn::Mat& a)
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{
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    int channels = a.c;
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    ncnn::ParamDict pd;
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    pd.set(0, channels);
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    std::vector<ncnn::Mat> weights(1);
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    weights[0] = RandomMat(channels);
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    int ret = test_layer("Bias", pd, weights, a);
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    if (ret != 0)
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    {
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        fprintf(stderr, "test_bias failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
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    }
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    return ret;
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}
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static int test_bias_0()
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{
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    return 0
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           || test_bias(RandomMat(5, 6, 7, 24))
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           || test_bias(RandomMat(7, 8, 9, 12))
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           || test_bias(RandomMat(3, 4, 5, 13));
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}
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static int test_bias_1()
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{
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    return 0
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           || test_bias(RandomMat(5, 7, 24))
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           || test_bias(RandomMat(7, 9, 12))
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           || test_bias(RandomMat(3, 5, 13));
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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 0
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           || test_bias_0()
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           || test_bias_1();
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}
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