// 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/binaryop.h" #define OP_TYPE_MAX 9 static int test_binaryop(const ncnn::Mat& _a, const ncnn::Mat& _b, int op_type) { ncnn::Mat a = _a; ncnn::Mat b = _b; if (op_type == 6) { // value must be positive for pow Randomize(a, 0.001f, 2.f); Randomize(b, 0.001f, 2.f); } ncnn::ParamDict pd; pd.set(0, op_type); pd.set(1, 0);// with_scalar pd.set(2, 0.f);// b 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; std::vector ab(2); ab[0] = a; ab[1] = b; int ret = test_layer("BinaryOp", pd, weights, opt, ab); if (ret != 0) { fprintf(stderr, "test_binaryop failed a.dims=%d a=(%d %d %d) b.dims=%d b=(%d %d %d) op_type=%d\n", a.dims, a.w, a.h, a.c, b.dims, b.w, b.h, b.c, op_type); } return ret; } static int test_binaryop(const ncnn::Mat& _a, float b, int op_type) { ncnn::Mat a = _a; if (op_type == 6) { // value must be positive for pow Randomize(a, 0.001f, 2.f); b = RandomFloat(0.001f, 2.f); } ncnn::ParamDict pd; pd.set(0, op_type); pd.set(1, 1);// with_scalar pd.set(2, b);// b 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("BinaryOp", pd, weights, opt, a); if (ret != 0) { fprintf(stderr, "test_binaryop failed a.dims=%d a=(%d %d %d) b=%f op_type=%d\n", a.dims, a.w, a.h, a.c, b, op_type); } return ret; } // https://github.com/Tencent/ncnn/wiki/binaryop-broadcasting static int test_binaryop_1() { for (int op_type=0; op_type