| 744 | } |
| 745 | |
| 746 | static std::pair<int, int> test_regression( |
| 747 | enum ggml_opt_optimizer_type optim, |
| 748 | ggml_backend_sched_t backend_sched, ggml_backend_t backend) { |
| 749 | int ntest = 0; |
| 750 | int npass = 0; |
| 751 | |
| 752 | // Test for simple regression with f(x) = a*x + b |
| 753 | |
| 754 | constexpr int64_t ndata_regression = 201; |
| 755 | constexpr float a_true = 1.2f; |
| 756 | constexpr float b_true = 3.4f; |
| 757 | |
| 758 | std::mt19937 gen(12345); |
| 759 | std::normal_distribution<float> nd{0.0f, 0.1f}; |
| 760 | |
| 761 | ggml_opt_dataset_t dataset = ggml_opt_dataset_init( |
| 762 | GGML_TYPE_F32, GGML_TYPE_F32, 1, 1, ndata_regression, ndata_regression); |
| 763 | |
| 764 | float * data = ggml_get_data_f32(ggml_opt_dataset_data( dataset)); |
| 765 | float * labels = ggml_get_data_f32(ggml_opt_dataset_labels(dataset)); |
| 766 | |
| 767 | constexpr float x_min = -100.0f; |
| 768 | constexpr float x_max = 100.0f; |
| 769 | |
| 770 | for (int64_t idata = 0; idata < ndata_regression; ++idata) { |
| 771 | const float x = x_min + (x_max - x_min) * idata/(ndata_regression-1); |
| 772 | const float y = a_true*x + b_true + nd(gen); |
| 773 | |
| 774 | data[idata] = x; |
| 775 | labels[idata] = y; |
| 776 | } |
| 777 | |
| 778 | struct ggml_context * ctx_static; |
| 779 | struct ggml_context * ctx_compute; |
| 780 | { |
| 781 | struct ggml_init_params params = { |
| 782 | /*.mem_size =*/ 3*ggml_tensor_overhead(), |
| 783 | /*.mem_buffer =*/ nullptr, |
| 784 | /*.no_alloc =*/ true, |
| 785 | }; |
| 786 | ctx_static = ggml_init(params); |
| 787 | } |
| 788 | { |
| 789 | struct ggml_init_params params = { |
| 790 | /*.mem_size =*/ GGML_DEFAULT_GRAPH_SIZE*ggml_tensor_overhead() + 3*ggml_graph_overhead(), |
| 791 | /*.mem_buffer =*/ nullptr, |
| 792 | /*.no_alloc =*/ true, |
| 793 | }; |
| 794 | ctx_compute = ggml_init(params); |
| 795 | } |
| 796 | |
| 797 | // The first dimension is the dimension of the datapoints, the second dimension is the number of datapoints. |
| 798 | struct ggml_tensor * x = ggml_new_tensor_2d(ctx_static, GGML_TYPE_F32, 1, ndata_regression); |
| 799 | ggml_set_name(x, "x"); |
| 800 | |
| 801 | struct ggml_tensor * a = ggml_new_tensor_1d(ctx_static, GGML_TYPE_F32, 1); |
| 802 | ggml_set_name(a, "a"); |
| 803 | ggml_set_param(a); |
no test coverage detected