// Unit tests for quantization specific functions - quantize, dequantize and dot product #include "ggml.h" #undef NDEBUG #include #include #include #include #include #if defined(_MSC_VER) #pragma warning(disable: 4244 4267) // possible loss of data #endif constexpr float MAX_QUANTIZATION_REFERENCE_ERROR = 0.0001f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR = 0.002f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_TERNARY = 0.01f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_2BITS = 0.0075f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS = 0.0040f; constexpr float MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS = 0.0050f; constexpr float MAX_DOT_PRODUCT_ERROR = 0.02f; constexpr float MAX_DOT_PRODUCT_ERROR_LOWBIT = 0.04f; constexpr float MAX_DOT_PRODUCT_ERROR_TERNARY = 0.15f; static const char* RESULT_STR[] = {"ok", "FAILED"}; // Generate synthetic data static void generate_data(float offset, size_t n, float * dst) { for (size_t i = 0; i < n; i++) { dst[i] = 0.1 + 2*cosf(i + offset); } } // Calculate RMSE between two float arrays static float array_rmse(const float * a1, const float * a2, size_t n) { double sum = 0; for (size_t i = 0; i < n; i++) { double diff = a1[i] - a2[i]; sum += diff * diff; } return sqrtf(sum) / n; } // Total quantization error on test data static float total_quantization_error(const ggml_type_traits * qfns, size_t test_size, const float * test_data) { std::vector tmp_q(2*test_size); std::vector tmp_out(test_size); qfns->from_float(test_data, tmp_q.data(), test_size); qfns->to_float(tmp_q.data(), tmp_out.data(), test_size); return array_rmse(test_data, tmp_out.data(), test_size); } // Total quantization error on test data static float reference_quantization_error(const ggml_type_traits * qfns, size_t test_size, const float * test_data) { std::vector tmp_q(2*test_size); std::vector tmp_out(test_size); std::vector tmp_out_ref(test_size); qfns->from_float(test_data, tmp_q.data(), test_size); qfns->to_float(tmp_q.data(), tmp_out.data(), test_size); qfns->from_float_ref(test_data, tmp_q.data(), test_size); qfns->to_float(tmp_q.data(), tmp_out_ref.data(), test_size); return array_rmse(tmp_out.data(), tmp_out_ref.data(), test_size); } static float dot_product(const float * a1, const float * a2, size_t test_size) { double sum = 0; for (size_t i = 0; i < test_size; i++) { sum += a1[i] * a2[i]; } return sum; } // Total dot product error static float dot_product_error( const ggml_type_traits * qfns, size_t test_size, const float * test_data1, const float *test_data2 ) { std::vector tmp_q1(2*test_size); std::vector tmp_q2(2*test_size); const auto * vdot = ggml_get_type_traits(qfns->vec_dot_type); qfns->from_float(test_data1, tmp_q1.data(), test_size); vdot->from_float(test_data2, tmp_q2.data(), test_size); float result = INFINITY; qfns->vec_dot(test_size, &result, 0, tmp_q1.data(), 0, tmp_q2.data(), 0, 1); const float dot_ref = dot_product(test_data1, test_data2, test_size); return fabsf(result - dot_ref) / test_size; } int main(int argc, char * argv[]) { bool verbose = false; const size_t test_size = 32 * 128; std::string arg; for (int i = 1; i < argc; i++) { arg = argv[i]; if (arg == "-v") { verbose = true; } else { fprintf(stderr, "error: unknown argument: %s\n", arg.c_str()); return 1; } } std::vector test_data(test_size); std::vector test_data2(test_size); generate_data(0.0, test_data.size(), test_data.data()); generate_data(1.0, test_data2.size(), test_data2.data()); // Initialize GGML, ensures float conversion tables are initialized struct ggml_init_params ggml_params = { /* .mem_size = */ 1*1024, /* .mem_buffer = */ NULL, /* .no_alloc = */ true, }; struct ggml_context * ctx = ggml_init(ggml_params); int num_failed = 0; bool failed = false; for (int i = 0; i < GGML_TYPE_COUNT; i++) { ggml_type type = (ggml_type) i; const auto * qfns = ggml_get_type_traits(type); // deprecated - skip if (qfns->blck_size == 0) { continue; } const ggml_type ei = (ggml_type)i; printf("Testing %s\n", ggml_type_name((ggml_type) i)); ggml_quantize_init(ei); if (qfns->from_float && qfns->to_float) { const float total_error = total_quantization_error(qfns, test_size, test_data.data()); const float max_quantization_error = type == GGML_TYPE_TQ1_0 ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY : type == GGML_TYPE_TQ2_0 ? MAX_QUANTIZATION_TOTAL_ERROR_TERNARY : type == GGML_TYPE_Q2_K ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS : type == GGML_TYPE_IQ2_S ? MAX_QUANTIZATION_TOTAL_ERROR_2BITS : type == GGML_TYPE_Q3_K ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS : type == GGML_TYPE_IQ3_S ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS : type == GGML_TYPE_IQ3_XXS ? MAX_QUANTIZATION_TOTAL_ERROR_3BITS_XXS : MAX_QUANTIZATION_TOTAL_ERROR; failed = !(total_error < max_quantization_error); num_failed += failed; if (failed || verbose) { printf("%5s absolute quantization error: %s (%f)\n", ggml_type_name(type), RESULT_STR[failed], total_error); } const float reference_error = reference_quantization_error(qfns, test_size, test_data.data()); failed = !(reference_error < MAX_QUANTIZATION_REFERENCE_ERROR); num_failed += failed; if (failed || verbose) { printf("%5s reference implementation error: %s (%f)\n", ggml_type_name(type), RESULT_STR[failed], reference_error); } const float vec_dot_error = dot_product_error(qfns, test_size, test_data.data(), test_data2.data()); const float max_allowed_error = type == GGML_TYPE_Q2_K || type == GGML_TYPE_IQ2_XS || type == GGML_TYPE_IQ2_XXS || type == GGML_TYPE_IQ3_XXS || type == GGML_TYPE_IQ3_S || type == GGML_TYPE_IQ2_S ? MAX_DOT_PRODUCT_ERROR_LOWBIT : type == GGML_TYPE_TQ1_0 || type == GGML_TYPE_TQ2_0 ? MAX_DOT_PRODUCT_ERROR_TERNARY : MAX_DOT_PRODUCT_ERROR; failed = !(vec_dot_error < max_allowed_error); num_failed += failed; if (failed || verbose) { printf("%5s dot product error: %s (%f)\n", ggml_type_name(type), RESULT_STR[failed], vec_dot_error); } } } if (num_failed || verbose) { printf("%d tests failed\n", num_failed); } ggml_free(ctx); return num_failed > 0; }