Method eval_support

external/ggml/tests/test-backend-ops.cpp:1602–1635

    }

    bool eval_support(ggml_backend_t backend, const char * op_names_filter, printer * output_printer) {
        mode = MODE_SUPPORT;

        static const size_t graph_nodes = 8192;

        ggml_init_params params = {
            /* .mem_size = */ ggml_tensor_overhead()*128 + ggml_graph_overhead_custom(graph_nodes, false),
            /* .mem_base = */ NULL,
            /* .no_alloc = */ true,
        };
        ggml_context_ptr ctx(ggml_init(params)); // smart ptr
        GGML_ASSERT(ctx);

        gf = ggml_new_graph_custom(ctx.get(), graph_nodes, false);

        ggml_tensor * out = build_graph(ctx.get());
        current_op_name   = op_desc(out);

        if (!matches_filter(out, op_names_filter)) {
            return true;
        }

        bool supported = ggml_backend_supports_op(backend, out);

        std::string device_desc = ggml_backend_dev_description(ggml_backend_get_device(backend));
        std::string backend_reg_name = ggml_backend_reg_name(ggml_backend_dev_backend_reg(ggml_backend_get_device(backend)));

        test_result result(ggml_backend_name(backend), current_op_name, vars(), "support", supported, supported,
                           supported ? "yes" : "no", 0.0, 0.0, 0.0, 0, 0, device_desc, backend_reg_name);

        output_printer->print_test_result(result);

        return true;
    }

    bool eval_grad(ggml_backend_t backend, const char * op_names_filter, printer * output_printer) {
        mode = MODE_GRAD;