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// 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. | ||
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#include "layer/erf.h" | ||
#include "testutil.h" | ||
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static int test_erf(const ncnn::Mat& a) | ||
{ | ||
ncnn::ParamDict pd; | ||
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std::vector<ncnn::Mat> weights(0); | ||
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int ret = test_layer<ncnn::Erf>("Erf", pd, weights, a); | ||
if (ret != 0) | ||
{ | ||
fprintf(stderr, "test_erf failed a.dims=%d a=(%d %d %d)\n", a.dims, a.w, a.h, a.c); | ||
} | ||
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return ret; | ||
} | ||
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static int test_erf_0() | ||
{ | ||
return 0 | ||
|| test_erf(RandomMat(10, 12, 5)) | ||
|| test_erf(RandomMat(3, 6, 18)) | ||
|| test_erf(RandomMat(12, 4, 7)); | ||
} | ||
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static int test_erf_1() | ||
{ | ||
return 0 | ||
|| test_erf(RandomMat(12, 28)) | ||
|| test_erf(RandomMat(20, 15)) | ||
|| test_erf(RandomMat(19, 13)); | ||
} | ||
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static int test_erf_2() | ||
{ | ||
return 0 | ||
|| test_erf(RandomMat(64)) | ||
|| test_erf(RandomMat(156)) | ||
|| test_erf(RandomMat(243)); | ||
} | ||
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int main() | ||
{ | ||
SRAND(7767517); | ||
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return 0 | ||
|| test_erf_0() | ||
|| test_erf_1() | ||
|| test_erf_2(); | ||
} |