66 lines
1.7 KiB
C++
66 lines
1.7 KiB
C++
|
// Tencent is pleased to support the open source community by making ncnn available.
|
||
|
//
|
||
|
// Copyright (C) 2020 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/tanh.h"
|
||
|
#include "testutil.h"
|
||
|
|
||
|
static int test_tanh(const ncnn::Mat& a)
|
||
|
{
|
||
|
ncnn::ParamDict pd;
|
||
|
|
||
|
std::vector<ncnn::Mat> weights(0);
|
||
|
|
||
|
int ret = test_layer<ncnn::TanH>("TanH", pd, weights, a);
|
||
|
if (ret != 0)
|
||
|
{
|
||
|
fprintf(stderr, "test_tanh failed a.dims=%d a=(%d %d %d)\n", a.dims, a.w, a.h, a.c);
|
||
|
}
|
||
|
|
||
|
return ret;
|
||
|
}
|
||
|
|
||
|
static int test_tanh_0()
|
||
|
{
|
||
|
return 0
|
||
|
|| test_tanh(RandomMat(5, 7, 24))
|
||
|
|| test_tanh(RandomMat(7, 9, 12))
|
||
|
|| test_tanh(RandomMat(3, 5, 13));
|
||
|
}
|
||
|
|
||
|
static int test_tanh_1()
|
||
|
{
|
||
|
return 0
|
||
|
|| test_tanh(RandomMat(15, 24))
|
||
|
|| test_tanh(RandomMat(17, 12))
|
||
|
|| test_tanh(RandomMat(19, 15));
|
||
|
}
|
||
|
|
||
|
static int test_tanh_2()
|
||
|
{
|
||
|
return 0
|
||
|
|| test_tanh(RandomMat(128))
|
||
|
|| test_tanh(RandomMat(124))
|
||
|
|| test_tanh(RandomMat(127));
|
||
|
}
|
||
|
|
||
|
int main()
|
||
|
{
|
||
|
SRAND(7767517);
|
||
|
|
||
|
return 0
|
||
|
|| test_tanh_0()
|
||
|
|| test_tanh_1()
|
||
|
|| test_tanh_2();
|
||
|
}
|