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- // Copyright 2020 Tencent
- // SPDX-License-Identifier: BSD-3-Clause
-
- #include "testutil.h"
-
- static int test_instancenorm(const ncnn::Mat& a, float eps, int affine)
- {
- int channels = a.c;
-
- ncnn::ParamDict pd;
- pd.set(0, affine ? channels : 0);
- pd.set(1, eps);
- pd.set(2, affine);
-
- std::vector<ncnn::Mat> weights(2);
- weights[0] = RandomMat(channels);
- weights[1] = RandomMat(channels);
-
- int ret = test_layer("InstanceNorm", pd, weights, a);
- if (ret != 0)
- {
- fprintf(stderr, "test_instancenorm failed a.dims=%d a=(%d %d %d) eps=%f affine=%d\n", a.dims, a.w, a.h, a.c, eps, affine);
- }
-
- return ret;
- }
-
- static int test_instancenorm_0()
- {
- return 0
- || test_instancenorm(RandomMat(6, 4, 2), 0.01f, 0)
- || test_instancenorm(RandomMat(3, 3, 12), 0.002f, 0)
- || test_instancenorm(RandomMat(5, 7, 16), 0.02f, 0)
- || test_instancenorm(RandomMat(6, 4, 2), 0.01f, 1)
- || test_instancenorm(RandomMat(3, 3, 12), 0.002f, 1)
- || test_instancenorm(RandomMat(5, 7, 16), 0.02f, 1);
- }
-
- int main()
- {
- SRAND(7767517);
-
- return 0
- || test_instancenorm_0();
- }
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