File size: 1,640 Bytes
be903e2 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 | // Tencent is pleased to support the open source community by making ncnn available.
//
// Copyright (C) 2021 THL A29 Limited, a Tencent company. All rights reserved.
//
// Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
// in compliance with the License. You may obtain a copy of the License at
//
// https://opensource.org/licenses/BSD-3-Clause
//
// Unless required by applicable law or agreed to in writing, software distributed
// under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR
// CONDITIONS OF ANY KIND, either express or implied. See the License for the
// specific language governing permissions and limitations under the License.
#include "layer/bias.h"
#include "testutil.h"
static int test_bias(const ncnn::Mat& a)
{
int channels = a.c;
ncnn::ParamDict pd;
pd.set(0, channels);
std::vector<ncnn::Mat> weights(1);
weights[0] = RandomMat(channels);
int ret = test_layer<ncnn::Bias>("Bias", pd, weights, a);
if (ret != 0)
{
fprintf(stderr, "test_bias failed a.dims=%d a=(%d %d %d %d)\n", a.dims, a.w, a.h, a.d, a.c);
}
return ret;
}
static int test_bias_0()
{
return 0
|| test_bias(RandomMat(5, 6, 7, 24))
|| test_bias(RandomMat(7, 8, 9, 12))
|| test_bias(RandomMat(3, 4, 5, 13));
}
static int test_bias_1()
{
return 0
|| test_bias(RandomMat(5, 7, 24))
|| test_bias(RandomMat(7, 9, 12))
|| test_bias(RandomMat(3, 5, 13));
}
int main()
{
SRAND(7767517);
return 0
|| test_bias_0()
|| test_bias_1();
}
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