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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.
-
- #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<ncnn::Mat> 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<ncnn::Cast>("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()
- ;
- }
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