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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/binaryop.h"
-
- #define OP_TYPE_MAX 9
-
- static int get_op_type()
- {
- static int op_type = 0;
- if (op_type == OP_TYPE_MAX)
- op_type = 0;
- return op_type++;
- }
-
- static int test_binaryop(const ncnn::Mat& _a, const ncnn::Mat& _b)
- {
- ncnn::Mat a = _a;
- ncnn::Mat b = _b;
- int op_type = get_op_type();
- 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<ncnn::Mat> weights(0);
-
- ncnn::Option opt;
- opt.num_threads = 1;
- opt.use_vulkan_compute = true;
- opt.use_int8_inference = false;
-
- std::vector<ncnn::Mat> ab(2);
- ab[0] = a;
- ab[1] = b;
-
- int ret = test_layer<ncnn::BinaryOp>("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)
- {
- ncnn::Mat a = _a;
- int op_type = get_op_type();
- 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<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::BinaryOp>("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()
- {
- return 0
- || test_binaryop(RandomMat(1), 1.f)
- ;
- }
-
- static int test_binaryop_2()
- {
- return 0
- || test_binaryop(RandomMat(1), RandomMat(1))
- || test_binaryop(RandomMat(1), RandomMat(4))
- || test_binaryop(RandomMat(1), RandomMat(8))
- ;
- }
-
- static int test_binaryop_3()
- {
- return 0
- || test_binaryop(RandomMat(1), RandomMat(2, 3))
- || test_binaryop(RandomMat(1), RandomMat(2, 4))
- || test_binaryop(RandomMat(1), RandomMat(2, 8))
- ;
- }
-
- static int test_binaryop_4()
- {
- return 0
- || test_binaryop(RandomMat(1), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(1), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(1), RandomMat(2, 3, 8))
- ;
- }
-
- static int test_binaryop_5()
- {
- return 0
- || test_binaryop(RandomMat(2), 1.f)
- || test_binaryop(RandomMat(4), 1.f)
- || test_binaryop(RandomMat(8), 1.f)
- ;
- }
-
- static int test_binaryop_6()
- {
- return 0
- || test_binaryop(RandomMat(2), RandomMat(1))
- || test_binaryop(RandomMat(4), RandomMat(1))
- || test_binaryop(RandomMat(8), RandomMat(1))
- ;
- }
-
- static int test_binaryop_7()
- {
- return 0
- || test_binaryop(RandomMat(2), RandomMat(2))
- || test_binaryop(RandomMat(4), RandomMat(4))
- || test_binaryop(RandomMat(8), RandomMat(8))
- ;
- }
-
- static int test_binaryop_8()
- {
- return 0
- || test_binaryop(RandomMat(3), RandomMat(2, 3))
- || test_binaryop(RandomMat(4), RandomMat(2, 4))
- || test_binaryop(RandomMat(8), RandomMat(2, 8))
- ;
- }
-
- static int test_binaryop_9()
- {
- return 0
- || test_binaryop(RandomMat(2), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(4), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(8), RandomMat(2, 3, 8))
- ;
- }
-
- static int test_binaryop_10()
- {
- return 0
- || test_binaryop(RandomMat(2, 3), 1.f)
- || test_binaryop(RandomMat(2, 4), 1.f)
- || test_binaryop(RandomMat(2, 8), 1.f)
- ;
- }
-
- static int test_binaryop_11()
- {
- return 0
- || test_binaryop(RandomMat(2, 3), RandomMat(1))
- || test_binaryop(RandomMat(2, 4), RandomMat(1))
- || test_binaryop(RandomMat(2, 8), RandomMat(1))
- ;
- }
-
- static int test_binaryop_12()
- {
- return 0
- || test_binaryop(RandomMat(2, 3), RandomMat(3))
- || test_binaryop(RandomMat(2, 4), RandomMat(4))
- || test_binaryop(RandomMat(2, 8), RandomMat(8))
- ;
- }
-
- static int test_binaryop_13()
- {
- return 0
- || test_binaryop(RandomMat(2, 3), RandomMat(2, 3))
- || test_binaryop(RandomMat(2, 4), RandomMat(2, 4))
- || test_binaryop(RandomMat(2, 8), RandomMat(2, 8))
- ;
- }
-
- static int test_binaryop_14()
- {
- return 0
- || test_binaryop(RandomMat(3, 2), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(3, 4), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(3, 8), RandomMat(2, 3, 8))
- ;
- }
-
- static int test_binaryop_15()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), 1.f)
- || test_binaryop(RandomMat(2, 3, 4), 1.f)
- || test_binaryop(RandomMat(2, 3, 8), 1.f)
- ;
- }
-
- static int test_binaryop_16()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(1))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(1))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(1))
- ;
- }
-
- static int test_binaryop_17()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(2))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(4))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(8))
- ;
- }
-
- static int test_binaryop_18()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(3, 2))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(3, 4))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(3, 8))
- ;
- }
-
- static int test_binaryop_19()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(2, 3, 8))
- ;
- }
-
- static int test_binaryop_s1()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(1, 1, 2))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(1, 1, 4))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(1, 1, 8))
- ;
- }
-
- static int test_binaryop_s2()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 2), RandomMat(2, 3, 1))
- || test_binaryop(RandomMat(2, 3, 4), RandomMat(2, 3, 1))
- || test_binaryop(RandomMat(2, 3, 8), RandomMat(2, 3, 1))
- ;
- }
-
- static int test_binaryop_s3()
- {
- return 0
- || test_binaryop(RandomMat(1, 1, 2), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(1, 1, 4), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(1, 1, 8), RandomMat(2, 3, 8))
- ;
- }
-
- static int test_binaryop_s4()
- {
- return 0
- || test_binaryop(RandomMat(2, 3, 1), RandomMat(2, 3, 2))
- || test_binaryop(RandomMat(2, 3, 1), RandomMat(2, 3, 4))
- || test_binaryop(RandomMat(2, 3, 1), RandomMat(2, 3, 8))
- ;
- }
-
- int main()
- {
- SRAND(7767517);
-
- return 0
- || test_binaryop_1()
- || test_binaryop_2()
- || test_binaryop_3()
- || test_binaryop_4()
- || test_binaryop_5()
- || test_binaryop_6()
- || test_binaryop_7()
- || test_binaryop_8()
- || test_binaryop_9()
- || test_binaryop_10()
- || test_binaryop_11()
- || test_binaryop_12()
- || test_binaryop_13()
- || test_binaryop_14()
- || test_binaryop_15()
- || test_binaryop_16()
- || test_binaryop_17()
- || test_binaryop_18()
- || test_binaryop_19()
- || test_binaryop_s1()
- || test_binaryop_s2()
- || test_binaryop_s3()
- || test_binaryop_s4()
- ;
- }
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