Function run_gaussian

dnn/test/naive/rng.cpp:32–50

template <typename dtype>
void run_gaussian(Handle* handle) {
    using ctype = typename DTypeTrait<dtype>::ctype;
    auto opr = handle->create_operator<GaussianRNG>();
    opr->param().mean = 0.8;
    opr->param().std = 2.3;
    opr->param().dtype = DTypeTrait<dtype>::enumv;
    Tensor<ctype> t(handle, {TensorShape{200001}, dtype()});
    opr->exec(t.tensornd(), {});

    auto ptr = t.ptr();
    auto size = t.layout().total_nr_elems();
    for (size_t i = 0; i < size; ++i) {
        ASSERT_LE(std::abs(ptr[i] - 0.8), ctype(15));
    }
    auto stat = get_mean_var(ptr, size, ctype(0.8));

    ASSERT_LE(std::abs(stat.first - 0.8), 5e-3);
    ASSERT_LE(std::abs(stat.second - 2.3 * 2.3), 5e-2);
}

template <typename dtype>
void run_gamma(Handle* handle) {