// 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 "testutil.h" #include "layer/cast.h" static int test_cast(const ncnn::Mat& a, int type_from, int type_to) { ncnn::ParamDict pd; pd.set(0, type_from); pd.set(1, type_to); std::vector weights(0); ncnn::Option opt; opt.num_threads = 1; opt.use_vulkan_compute = true; opt.use_int8_inference = false; opt.use_fp16_packed = false; opt.use_fp16_storage = false; opt.use_fp16_arithmetic = false; opt.use_int8_storage = false; opt.use_int8_arithmetic = false; int ret = test_layer("Cast", pd, weights, opt, a); if (ret != 0) { fprintf(stderr, "test_cast failed a.dims=%d a=(%d %d %d) type_from=%d type_to=%d\n", a.dims, a.w, a.h, a.c, type_from, type_to); } return ret; } static int test_cast_0() { return 0 || test_cast(RandomMat(6, 7, 16), 1, 2) || test_cast(RandomMat(3, 5, 13), 1, 2) ; } static int test_cast_1() { return 0 || test_cast(RandomMat(6, 16), 1, 2) || test_cast(RandomMat(7, 15), 1, 2) ; } static int test_cast_2() { return 0 || test_cast(RandomMat(128), 1, 2) || test_cast(RandomMat(127), 1, 2) ; } int main() { SRAND(7767517); return 0 || test_cast_0() || test_cast_1() || test_cast_2() ; }