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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) 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 "testutil.h" |
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#include "layer/tanh.h" |
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static int test_tanh(const ncnn::Mat& a) |
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{ |
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ncnn::ParamDict pd; |
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std::vector<ncnn::Mat> weights(0); |
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ncnn::Option opt; |
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opt.num_threads = 1; |
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opt.use_vulkan_compute = true; |
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opt.use_int8_inference = false; |
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opt.use_fp16_packed = false; |
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opt.use_fp16_storage = false; |
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opt.use_fp16_arithmetic = false; |
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opt.use_int8_storage = false; |
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opt.use_int8_arithmetic = false; |
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int ret = test_layer<ncnn::TanH>("TanH", pd, weights, opt, a); |
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if (ret != 0) |
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{ |
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fprintf(stderr, "test_tanh failed a.dims=%d a=(%d %d %d)\n", a.dims, a.w, a.h, a.c); |
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} |
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return ret; |
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} |
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static int test_tanh_0() |
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{ |
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return 0 |
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|| test_tanh(RandomMat(6, 7, 16)) |
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|| test_tanh(RandomMat(3, 5, 13)) |
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; |
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} |
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static int test_tanh_1() |
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{ |
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return 0 |
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|| test_tanh(RandomMat(6, 16)) |
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|| test_tanh(RandomMat(7, 15)) |
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; |
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} |
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static int test_tanh_2() |
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{ |
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return 0 |
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|| test_tanh(RandomMat(128)) |
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|| test_tanh(RandomMat(127)) |
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; |
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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_tanh_0() |
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|| test_tanh_1() |
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|| test_tanh_2() |
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; |
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} |