// This file is part of OpenCV project. // It is subject to the license terms in the LICENSE file found in the top-level directory // of this distribution and at http://opencv.org/license.html. #include "test_precomp.hpp" #include #include #include "npy_blob.hpp" #include #if defined(_MSC_VER) // workaround for 32-bit MSVC compiler #pragma optimize("", off) #endif #define CV_TEST_TAG_DNN_ERROR_PARSER "dnn_error_parser" #define CV_TEST_TAG_DNN_ERROR_NET_SETUP "dnn_error_net_setup" #define CV_TEST_TAG_DNN_ERROR_FORWARD "dnn_error_forward" #define CV_TEST_TAG_DNN_LAYER_FALLBACK "dnn_layer_fallback" #define CV_TEST_TAG_DNN_NO_ACCURACY_CHECK "dnn_no_accuracy_check" namespace opencv_test { struct TestCase { const char* name; uint32_t inputs; uint32_t outputs; }; static const TestCase testConformanceConfig[] = { {"test_abs", 1, 1}, {"test_acos", 1, 1}, {"test_acos_example", 1, 1}, {"test_acosh", 1, 1}, {"test_acosh_example", 1, 1}, {"test_adagrad", 5, 2}, {"test_adagrad_multiple", 8, 4}, {"test_adam", 6, 3}, {"test_adam_multiple", 10, 6}, {"test_add", 2, 1}, {"test_add_bcast", 2, 1}, {"test_add_uint8", 2, 1}, {"test_and2d", 2, 1}, {"test_and3d", 2, 1}, {"test_and4d", 2, 1}, {"test_and_bcast3v1d", 2, 1}, {"test_and_bcast3v2d", 2, 1}, {"test_and_bcast4v2d", 2, 1}, {"test_and_bcast4v3d", 2, 1}, {"test_and_bcast4v4d", 2, 1}, {"test_argmax_default_axis_example", 1, 1}, {"test_argmax_default_axis_example_select_last_index", 1, 1}, {"test_argmax_default_axis_random", 1, 1}, {"test_argmax_default_axis_random_select_last_index", 1, 1}, {"test_argmax_keepdims_example", 1, 1}, {"test_argmax_keepdims_example_select_last_index", 1, 1}, {"test_argmax_keepdims_random", 1, 1}, {"test_argmax_keepdims_random_select_last_index", 1, 1}, {"test_argmax_negative_axis_keepdims_example", 1, 1}, {"test_argmax_negative_axis_keepdims_example_select_last_index", 1, 1}, {"test_argmax_negative_axis_keepdims_random", 1, 1}, {"test_argmax_negative_axis_keepdims_random_select_last_index", 1, 1}, {"test_argmax_no_keepdims_example", 1, 1}, {"test_argmax_no_keepdims_example_select_last_index", 1, 1}, {"test_argmax_no_keepdims_random", 1, 1}, {"test_argmax_no_keepdims_random_select_last_index", 1, 1}, {"test_argmin_default_axis_example", 1, 1}, {"test_argmin_default_axis_example_select_last_index", 1, 1}, {"test_argmin_default_axis_random", 1, 1}, {"test_argmin_default_axis_random_select_last_index", 1, 1}, {"test_argmin_keepdims_example", 1, 1}, {"test_argmin_keepdims_example_select_last_index", 1, 1}, {"test_argmin_keepdims_random", 1, 1}, {"test_argmin_keepdims_random_select_last_index", 1, 1}, {"test_argmin_negative_axis_keepdims_example", 1, 1}, {"test_argmin_negative_axis_keepdims_example_select_last_index", 1, 1}, {"test_argmin_negative_axis_keepdims_random", 1, 1}, {"test_argmin_negative_axis_keepdims_random_select_last_index", 1, 1}, {"test_argmin_no_keepdims_example", 1, 1}, {"test_argmin_no_keepdims_example_select_last_index", 1, 1}, {"test_argmin_no_keepdims_random", 1, 1}, {"test_argmin_no_keepdims_random_select_last_index", 1, 1}, {"test_asin", 1, 1}, {"test_asin_example", 1, 1}, {"test_asinh", 1, 1}, {"test_asinh_example", 1, 1}, {"test_atan", 1, 1}, {"test_atan_example", 1, 1}, {"test_atanh", 1, 1}, {"test_atanh_example", 1, 1}, {"test_averagepool_1d_default", 1, 1}, {"test_averagepool_2d_ceil", 1, 1}, {"test_averagepool_2d_default", 1, 1}, {"test_averagepool_2d_pads", 1, 1}, {"test_averagepool_2d_pads_count_include_pad", 1, 1}, {"test_averagepool_2d_precomputed_pads", 1, 1}, {"test_averagepool_2d_precomputed_pads_count_include_pad", 1, 1}, {"test_averagepool_2d_precomputed_same_upper", 1, 1}, {"test_averagepool_2d_precomputed_strides", 1, 1}, {"test_averagepool_2d_same_lower", 1, 1}, {"test_averagepool_2d_same_upper", 1, 1}, {"test_averagepool_2d_strides", 1, 1}, {"test_averagepool_3d_default", 1, 1}, {"test_basic_conv_with_padding", 2, 1}, {"test_basic_conv_without_padding", 2, 1}, {"test_basic_convinteger", 3, 1}, {"test_batchnorm_epsilon", 5, 1}, {"test_batchnorm_epsilon_training_mode", 5, 3}, {"test_batchnorm_example", 5, 1}, {"test_batchnorm_example_training_mode", 5, 3}, {"test_bernoulli", 1, 1}, {"test_bernoulli_double", 1, 1}, {"test_bernoulli_double_expanded", 1, 1}, {"test_bernoulli_expanded", 1, 1}, {"test_bernoulli_seed", 1, 1}, {"test_bernoulli_seed_expanded", 1, 1}, {"test_bitshift_left_uint16", 2, 1}, {"test_bitshift_left_uint32", 2, 1}, {"test_bitshift_left_uint64", 2, 1}, {"test_bitshift_left_uint8", 2, 1}, {"test_bitshift_right_uint16", 2, 1}, {"test_bitshift_right_uint32", 2, 1}, {"test_bitshift_right_uint64", 2, 1}, {"test_bitshift_right_uint8", 2, 1}, {"test_cast_BFLOAT16_to_FLOAT", 1, 1}, {"test_cast_DOUBLE_to_FLOAT", 1, 1}, {"test_cast_DOUBLE_to_FLOAT16", 1, 1}, {"test_cast_FLOAT16_to_DOUBLE", 1, 1}, {"test_cast_FLOAT16_to_FLOAT", 1, 1}, {"test_cast_FLOAT_to_BFLOAT16", 1, 1}, {"test_cast_FLOAT_to_DOUBLE", 1, 1}, {"test_cast_FLOAT_to_FLOAT16", 1, 1}, {"test_cast_FLOAT_to_STRING", 1, 1}, {"test_cast_STRING_to_FLOAT", 1, 1}, {"test_castlike_BFLOAT16_to_FLOAT", 2, 1}, {"test_castlike_BFLOAT16_to_FLOAT_expanded", 2, 1}, {"test_castlike_DOUBLE_to_FLOAT", 2, 1}, {"test_castlike_DOUBLE_to_FLOAT16", 2, 1}, {"test_castlike_DOUBLE_to_FLOAT16_expanded", 2, 1}, {"test_castlike_DOUBLE_to_FLOAT_expanded", 2, 1}, {"test_castlike_FLOAT16_to_DOUBLE", 2, 1}, {"test_castlike_FLOAT16_to_DOUBLE_expanded", 2, 1}, {"test_castlike_FLOAT16_to_FLOAT", 2, 1}, {"test_castlike_FLOAT16_to_FLOAT_expanded", 2, 1}, {"test_castlike_FLOAT_to_BFLOAT16", 2, 1}, {"test_castlike_FLOAT_to_BFLOAT16_expanded", 2, 1}, {"test_castlike_FLOAT_to_DOUBLE", 2, 1}, {"test_castlike_FLOAT_to_DOUBLE_expanded", 2, 1}, {"test_castlike_FLOAT_to_FLOAT16", 2, 1}, {"test_castlike_FLOAT_to_FLOAT16_expanded", 2, 1}, {"test_castlike_FLOAT_to_STRING", 2, 1}, {"test_castlike_FLOAT_to_STRING_expanded", 2, 1}, {"test_castlike_STRING_to_FLOAT", 2, 1}, {"test_castlike_STRING_to_FLOAT_expanded", 2, 1}, {"test_ceil", 1, 1}, {"test_ceil_example", 1, 1}, {"test_celu", 1, 1}, {"test_celu_expanded", 1, 1}, {"test_clip", 3, 1}, {"test_clip_default_inbounds", 1, 1}, {"test_clip_default_int8_inbounds", 1, 1}, {"test_clip_default_int8_max", 2, 1}, {"test_clip_default_int8_min", 2, 1}, {"test_clip_default_max", 2, 1}, {"test_clip_default_min", 2, 1}, {"test_clip_example", 3, 1}, {"test_clip_inbounds", 3, 1}, {"test_clip_outbounds", 3, 1}, {"test_clip_splitbounds", 3, 1}, {"test_compress_0", 2, 1}, {"test_compress_1", 2, 1}, {"test_compress_default_axis", 2, 1}, {"test_compress_negative_axis", 2, 1}, {"test_concat_1d_axis_0", 2, 1}, {"test_concat_1d_axis_negative_1", 2, 1}, {"test_concat_2d_axis_0", 2, 1}, {"test_concat_2d_axis_1", 2, 1}, {"test_concat_2d_axis_negative_1", 2, 1}, {"test_concat_2d_axis_negative_2", 2, 1}, {"test_concat_3d_axis_0", 2, 1}, {"test_concat_3d_axis_1", 2, 1}, {"test_concat_3d_axis_2", 2, 1}, {"test_concat_3d_axis_negative_1", 2, 1}, {"test_concat_3d_axis_negative_2", 2, 1}, {"test_concat_3d_axis_negative_3", 2, 1}, {"test_constant", 0, 1}, {"test_constant_pad", 3, 1}, {"test_constantofshape_float_ones", 1, 1}, {"test_constantofshape_int_shape_zero", 1, 1}, {"test_constantofshape_int_zeros", 1, 1}, {"test_conv_with_autopad_same", 2, 1}, {"test_conv_with_strides_and_asymmetric_padding", 2, 1}, {"test_conv_with_strides_no_padding", 2, 1}, {"test_conv_with_strides_padding", 2, 1}, {"test_convinteger_with_padding", 3, 1}, {"test_convinteger_without_padding", 3, 1}, {"test_convtranspose", 2, 1}, {"test_convtranspose_1d", 2, 1}, {"test_convtranspose_3d", 2, 1}, {"test_convtranspose_autopad_same", 2, 1}, {"test_convtranspose_dilations", 2, 1}, {"test_convtranspose_kernel_shape", 2, 1}, {"test_convtranspose_output_shape", 2, 1}, {"test_convtranspose_pad", 2, 1}, {"test_convtranspose_pads", 2, 1}, {"test_convtranspose_with_kernel", 2, 1}, {"test_cos", 1, 1}, {"test_cos_example", 1, 1}, {"test_cosh", 1, 1}, {"test_cosh_example", 1, 1}, {"test_cumsum_1d", 2, 1}, {"test_cumsum_1d_exclusive", 2, 1}, {"test_cumsum_1d_reverse", 2, 1}, {"test_cumsum_1d_reverse_exclusive", 2, 1}, {"test_cumsum_2d_axis_0", 2, 1}, {"test_cumsum_2d_axis_1", 2, 1}, {"test_cumsum_2d_negative_axis", 2, 1}, {"test_depthtospace_crd_mode", 1, 1}, {"test_depthtospace_crd_mode_example", 1, 1}, {"test_depthtospace_dcr_mode", 1, 1}, {"test_depthtospace_example", 1, 1}, {"test_dequantizelinear", 3, 1}, {"test_dequantizelinear_axis", 3, 1}, {"test_det_2d", 1, 1}, {"test_det_nd", 1, 1}, {"test_div", 2, 1}, {"test_div_bcast", 2, 1}, {"test_div_example", 2, 1}, {"test_div_uint8", 2, 1}, {"test_dropout_default", 1, 1}, {"test_dropout_default_mask", 1, 2}, {"test_dropout_default_mask_ratio", 2, 2}, {"test_dropout_default_old", 1, 1}, {"test_dropout_default_ratio", 2, 1}, {"test_dropout_random_old", 1, 1}, {"test_dynamicquantizelinear", 1, 3}, {"test_dynamicquantizelinear_expanded", 1, 3}, {"test_dynamicquantizelinear_max_adjusted", 1, 3}, {"test_dynamicquantizelinear_max_adjusted_expanded", 1, 3}, {"test_dynamicquantizelinear_min_adjusted", 1, 3}, {"test_dynamicquantizelinear_min_adjusted_expanded", 1, 3}, {"test_edge_pad", 2, 1}, {"test_einsum_batch_diagonal", 1, 1}, {"test_einsum_batch_matmul", 2, 1}, {"test_einsum_inner_prod", 2, 1}, {"test_einsum_sum", 1, 1}, {"test_einsum_transpose", 1, 1}, {"test_elu", 1, 1}, {"test_elu_default", 1, 1}, {"test_elu_example", 1, 1}, {"test_equal", 2, 1}, {"test_equal_bcast", 2, 1}, {"test_erf", 1, 1}, {"test_exp", 1, 1}, {"test_exp_example", 1, 1}, {"test_expand_dim_changed", 2, 1}, {"test_expand_dim_unchanged", 2, 1}, {"test_eyelike_populate_off_main_diagonal", 1, 1}, {"test_eyelike_with_dtype", 1, 1}, {"test_eyelike_without_dtype", 1, 1}, {"test_flatten_axis0", 1, 1}, {"test_flatten_axis1", 1, 1}, {"test_flatten_axis2", 1, 1}, {"test_flatten_axis3", 1, 1}, {"test_flatten_default_axis", 1, 1}, {"test_flatten_negative_axis1", 1, 1}, {"test_flatten_negative_axis2", 1, 1}, {"test_flatten_negative_axis3", 1, 1}, {"test_flatten_negative_axis4", 1, 1}, {"test_floor", 1, 1}, {"test_floor_example", 1, 1}, {"test_gather_0", 2, 1}, {"test_gather_1", 2, 1}, {"test_gather_2d_indices", 2, 1}, {"test_gather_elements_0", 2, 1}, {"test_gather_elements_1", 2, 1}, {"test_gather_elements_negative_indices", 2, 1}, {"test_gather_negative_indices", 2, 1}, {"test_gathernd_example_float32", 2, 1}, {"test_gathernd_example_int32", 2, 1}, {"test_gathernd_example_int32_batch_dim1", 2, 1}, {"test_gelu_default_1", 1, 1}, {"test_gelu_default_1_expanded", 1, 1}, {"test_gelu_default_2", 1, 1}, {"test_gelu_default_2_expanded", 1, 1}, {"test_gelu_tanh_1", 1, 1}, {"test_gelu_tanh_1_expanded", 1, 1}, {"test_gelu_tanh_2", 1, 1}, {"test_gelu_tanh_2_expanded", 1, 1}, {"test_gemm_all_attributes", 3, 1}, {"test_gemm_alpha", 3, 1}, {"test_gemm_beta", 3, 1}, {"test_gemm_default_matrix_bias", 3, 1}, {"test_gemm_default_no_bias", 2, 1}, {"test_gemm_default_scalar_bias", 3, 1}, {"test_gemm_default_single_elem_vector_bias", 3, 1}, {"test_gemm_default_vector_bias", 3, 1}, {"test_gemm_default_zero_bias", 3, 1}, {"test_gemm_transposeA", 3, 1}, {"test_gemm_transposeB", 3, 1}, {"test_globalaveragepool", 1, 1}, {"test_globalaveragepool_precomputed", 1, 1}, {"test_globalmaxpool", 1, 1}, {"test_globalmaxpool_precomputed", 1, 1}, {"test_greater", 2, 1}, {"test_greater_bcast", 2, 1}, {"test_greater_equal", 2, 1}, {"test_greater_equal_bcast", 2, 1}, {"test_greater_equal_bcast_expanded", 2, 1}, {"test_greater_equal_expanded", 2, 1}, {"test_gridsample", 2, 1}, {"test_gridsample_aligncorners_true", 2, 1}, {"test_gridsample_bicubic", 2, 1}, {"test_gridsample_bilinear", 2, 1}, {"test_gridsample_border_padding", 2, 1}, {"test_gridsample_nearest", 2, 1}, {"test_gridsample_reflection_padding", 2, 1}, {"test_gridsample_zeros_padding", 2, 1}, {"test_group_normalization_epsilon", 3, 1}, {"test_group_normalization_example", 3, 1}, {"test_gru_batchwise", 3, 2}, {"test_gru_defaults", 3, 1}, {"test_gru_seq_length", 4, 1}, {"test_gru_with_initial_bias", 4, 1}, {"test_hardmax_axis_0", 1, 1}, {"test_hardmax_axis_1", 1, 1}, {"test_hardmax_axis_2", 1, 1}, {"test_hardmax_default_axis", 1, 1}, {"test_hardmax_example", 1, 1}, {"test_hardmax_negative_axis", 1, 1}, {"test_hardmax_one_hot", 1, 1}, {"test_hardsigmoid", 1, 1}, {"test_hardsigmoid_default", 1, 1}, {"test_hardsigmoid_example", 1, 1}, {"test_hardswish", 1, 1}, {"test_hardswish_expanded", 1, 1}, {"test_identity", 1, 1}, {"test_identity_opt", 1, 1}, {"test_identity_sequence", 1, 1}, {"test_if", 1, 1}, {"test_if_opt", 1, 1}, {"test_if_seq", 1, 1}, {"test_instancenorm_epsilon", 3, 1}, {"test_instancenorm_example", 3, 1}, {"test_isinf", 1, 1}, {"test_isinf_negative", 1, 1}, {"test_isinf_positive", 1, 1}, {"test_isnan", 1, 1}, {"test_layer_normalization_2d_axis0", 3, 1}, {"test_layer_normalization_2d_axis1", 3, 1}, {"test_layer_normalization_2d_axis_negative_1", 3, 1}, {"test_layer_normalization_2d_axis_negative_2", 3, 1}, {"test_layer_normalization_3d_axis0_epsilon", 3, 1}, {"test_layer_normalization_3d_axis1_epsilon", 3, 1}, {"test_layer_normalization_3d_axis2_epsilon", 3, 1}, {"test_layer_normalization_3d_axis_negative_1_epsilon", 3, 1}, {"test_layer_normalization_3d_axis_negative_2_epsilon", 3, 1}, {"test_layer_normalization_3d_axis_negative_3_epsilon", 3, 1}, {"test_layer_normalization_4d_axis0", 3, 1}, {"test_layer_normalization_4d_axis1", 3, 1}, {"test_layer_normalization_4d_axis2", 3, 1}, {"test_layer_normalization_4d_axis3", 3, 1}, {"test_layer_normalization_4d_axis_negative_1", 3, 1}, {"test_layer_normalization_4d_axis_negative_2", 3, 1}, {"test_layer_normalization_4d_axis_negative_3", 3, 1}, {"test_layer_normalization_4d_axis_negative_4", 3, 1}, {"test_layer_normalization_default_axis", 3, 1}, {"test_leakyrelu", 1, 1}, {"test_leakyrelu_default", 1, 1}, {"test_leakyrelu_example", 1, 1}, {"test_less", 2, 1}, {"test_less_bcast", 2, 1}, {"test_less_equal", 2, 1}, {"test_less_equal_bcast", 2, 1}, {"test_less_equal_bcast_expanded", 2, 1}, {"test_less_equal_expanded", 2, 1}, {"test_log", 1, 1}, {"test_log_example", 1, 1}, {"test_logsoftmax_axis_0", 1, 1}, {"test_logsoftmax_axis_0_expanded", 1, 1}, {"test_logsoftmax_axis_1", 1, 1}, {"test_logsoftmax_axis_1_expanded", 1, 1}, {"test_logsoftmax_axis_2", 1, 1}, {"test_logsoftmax_axis_2_expanded", 1, 1}, {"test_logsoftmax_default_axis", 1, 1}, {"test_logsoftmax_default_axis_expanded", 1, 1}, {"test_logsoftmax_example_1", 1, 1}, {"test_logsoftmax_example_1_expanded", 1, 1}, {"test_logsoftmax_large_number", 1, 1}, {"test_logsoftmax_large_number_expanded", 1, 1}, {"test_logsoftmax_negative_axis", 1, 1}, {"test_logsoftmax_negative_axis_expanded", 1, 1}, {"test_loop11", 3, 2}, {"test_loop13_seq", 3, 1}, {"test_loop16_seq_none", 3, 1}, {"test_lrn", 1, 1}, {"test_lrn_default", 1, 1}, {"test_lstm_batchwise", 3, 2}, {"test_lstm_defaults", 3, 1}, {"test_lstm_with_initial_bias", 4, 1}, {"test_lstm_with_peepholes", 8, 1}, {"test_matmul_2d", 2, 1}, {"test_matmul_3d", 2, 1}, {"test_matmul_4d", 2, 1}, {"test_matmulinteger", 4, 1}, {"test_max_example", 3, 1}, {"test_max_float16", 2, 1}, {"test_max_float32", 2, 1}, {"test_max_float64", 2, 1}, {"test_max_int16", 2, 1}, {"test_max_int32", 2, 1}, {"test_max_int64", 2, 1}, {"test_max_int8", 2, 1}, {"test_max_one_input", 1, 1}, {"test_max_two_inputs", 2, 1}, {"test_max_uint16", 2, 1}, {"test_max_uint32", 2, 1}, {"test_max_uint64", 2, 1}, {"test_max_uint8", 2, 1}, {"test_maxpool_1d_default", 1, 1}, {"test_maxpool_2d_ceil", 1, 1}, {"test_maxpool_2d_default", 1, 1}, {"test_maxpool_2d_dilations", 1, 1}, {"test_maxpool_2d_pads", 1, 1}, {"test_maxpool_2d_precomputed_pads", 1, 1}, {"test_maxpool_2d_precomputed_same_upper", 1, 1}, {"test_maxpool_2d_precomputed_strides", 1, 1}, {"test_maxpool_2d_same_lower", 1, 1}, {"test_maxpool_2d_same_upper", 1, 1}, {"test_maxpool_2d_strides", 1, 1}, {"test_maxpool_2d_uint8", 1, 1}, {"test_maxpool_3d_default", 1, 1}, {"test_maxpool_with_argmax_2d_precomputed_pads", 1, 2}, {"test_maxpool_with_argmax_2d_precomputed_strides", 1, 2}, {"test_maxunpool_export_with_output_shape", 3, 1}, {"test_maxunpool_export_without_output_shape", 2, 1}, {"test_mean_example", 3, 1}, {"test_mean_one_input", 1, 1}, {"test_mean_two_inputs", 2, 1}, {"test_min_example", 3, 1}, {"test_min_float16", 2, 1}, {"test_min_float32", 2, 1}, {"test_min_float64", 2, 1}, {"test_min_int16", 2, 1}, {"test_min_int32", 2, 1}, {"test_min_int64", 2, 1}, {"test_min_int8", 2, 1}, {"test_min_one_input", 1, 1}, {"test_min_two_inputs", 2, 1}, {"test_min_uint16", 2, 1}, {"test_min_uint32", 2, 1}, {"test_min_uint64", 2, 1}, {"test_min_uint8", 2, 1}, {"test_mod_broadcast", 2, 1}, {"test_mod_int64_fmod", 2, 1}, {"test_mod_mixed_sign_float16", 2, 1}, {"test_mod_mixed_sign_float32", 2, 1}, {"test_mod_mixed_sign_float64", 2, 1}, {"test_mod_mixed_sign_int16", 2, 1}, {"test_mod_mixed_sign_int32", 2, 1}, {"test_mod_mixed_sign_int64", 2, 1}, {"test_mod_mixed_sign_int8", 2, 1}, {"test_mod_uint16", 2, 1}, {"test_mod_uint32", 2, 1}, {"test_mod_uint64", 2, 1}, {"test_mod_uint8", 2, 1}, {"test_momentum", 5, 2}, {"test_momentum_multiple", 8, 4}, {"test_mul", 2, 1}, {"test_mul_bcast", 2, 1}, {"test_mul_example", 2, 1}, {"test_mul_uint8", 2, 1}, {"test_mvn", 1, 1}, {"test_mvn_expanded", 1, 1}, {"test_neg", 1, 1}, {"test_neg_example", 1, 1}, {"test_nesterov_momentum", 5, 2}, {"test_nllloss_NC", 2, 1}, {"test_nllloss_NC_expanded", 2, 1}, {"test_nllloss_NCd1", 2, 1}, {"test_nllloss_NCd1_expanded", 2, 1}, {"test_nllloss_NCd1_ii", 2, 1}, {"test_nllloss_NCd1_ii_expanded", 2, 1}, {"test_nllloss_NCd1_mean_weight_negative_ii", 3, 1}, {"test_nllloss_NCd1_mean_weight_negative_ii_expanded", 3, 1}, {"test_nllloss_NCd1_weight", 3, 1}, {"test_nllloss_NCd1_weight_expanded", 3, 1}, {"test_nllloss_NCd1_weight_ii", 3, 1}, {"test_nllloss_NCd1_weight_ii_expanded", 3, 1}, {"test_nllloss_NCd1d2", 2, 1}, {"test_nllloss_NCd1d2_expanded", 2, 1}, {"test_nllloss_NCd1d2_no_weight_reduction_mean_ii", 2, 1}, {"test_nllloss_NCd1d2_no_weight_reduction_mean_ii_expanded", 2, 1}, {"test_nllloss_NCd1d2_reduction_mean", 2, 1}, {"test_nllloss_NCd1d2_reduction_mean_expanded", 2, 1}, {"test_nllloss_NCd1d2_reduction_sum", 2, 1}, {"test_nllloss_NCd1d2_reduction_sum_expanded", 2, 1}, {"test_nllloss_NCd1d2_with_weight", 3, 1}, {"test_nllloss_NCd1d2_with_weight_expanded", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_mean", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_mean_expanded", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_sum", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_sum_expanded", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_sum_ii", 3, 1}, {"test_nllloss_NCd1d2_with_weight_reduction_sum_ii_expanded", 3, 1}, {"test_nllloss_NCd1d2d3_none_no_weight_negative_ii", 2, 1}, {"test_nllloss_NCd1d2d3_none_no_weight_negative_ii_expanded", 2, 1}, {"test_nllloss_NCd1d2d3_sum_weight_high_ii", 3, 1}, {"test_nllloss_NCd1d2d3_sum_weight_high_ii_expanded", 3, 1}, {"test_nllloss_NCd1d2d3d4d5_mean_weight", 3, 1}, {"test_nllloss_NCd1d2d3d4d5_mean_weight_expanded", 3, 1}, {"test_nllloss_NCd1d2d3d4d5_none_no_weight", 2, 1}, {"test_nllloss_NCd1d2d3d4d5_none_no_weight_expanded", 2, 1}, {"test_nonmaxsuppression_center_point_box_format", 5, 1}, {"test_nonmaxsuppression_flipped_coordinates", 5, 1}, {"test_nonmaxsuppression_identical_boxes", 5, 1}, {"test_nonmaxsuppression_limit_output_size", 5, 1}, {"test_nonmaxsuppression_single_box", 5, 1}, {"test_nonmaxsuppression_suppress_by_IOU", 5, 1}, {"test_nonmaxsuppression_suppress_by_IOU_and_scores", 5, 1}, {"test_nonmaxsuppression_two_batches", 5, 1}, {"test_nonmaxsuppression_two_classes", 5, 1}, {"test_nonzero_example", 1, 1}, {"test_not_2d", 1, 1}, {"test_not_3d", 1, 1}, {"test_not_4d", 1, 1}, {"test_onehot_negative_indices", 3, 1}, {"test_onehot_with_axis", 3, 1}, {"test_onehot_with_negative_axis", 3, 1}, {"test_onehot_without_axis", 3, 1}, 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{"test_training_dropout", 3, 1}, {"test_training_dropout_default", 3, 1}, {"test_training_dropout_default_mask", 3, 2}, {"test_training_dropout_mask", 3, 2}, {"test_training_dropout_zero_ratio", 3, 1}, {"test_training_dropout_zero_ratio_mask", 3, 2}, {"test_transpose_all_permutations_0", 1, 1}, {"test_transpose_all_permutations_1", 1, 1}, {"test_transpose_all_permutations_2", 1, 1}, {"test_transpose_all_permutations_3", 1, 1}, {"test_transpose_all_permutations_4", 1, 1}, {"test_transpose_all_permutations_5", 1, 1}, {"test_transpose_default", 1, 1}, {"test_tril", 1, 1}, {"test_tril_neg", 2, 1}, {"test_tril_one_row_neg", 1, 1}, {"test_tril_out_neg", 2, 1}, {"test_tril_out_pos", 2, 1}, {"test_tril_pos", 2, 1}, {"test_tril_square", 1, 1}, {"test_tril_square_neg", 2, 1}, {"test_tril_zero", 2, 1}, {"test_triu", 1, 1}, {"test_triu_neg", 2, 1}, {"test_triu_one_row", 2, 1}, {"test_triu_out_neg_out", 2, 1}, {"test_triu_out_pos", 2, 1}, {"test_triu_pos", 2, 1}, {"test_triu_square", 1, 1}, {"test_triu_square_neg", 2, 1}, {"test_triu_zero", 2, 1}, {"test_unique_not_sorted_without_axis", 1, 4}, {"test_unique_sorted_with_axis", 1, 4}, {"test_unique_sorted_with_axis_3d", 1, 4}, {"test_unique_sorted_with_negative_axis", 1, 4}, {"test_unique_sorted_without_axis", 1, 4}, {"test_unsqueeze_axis_0", 2, 1}, {"test_unsqueeze_axis_1", 2, 1}, {"test_unsqueeze_axis_2", 2, 1}, {"test_unsqueeze_axis_3", 1, 1}, {"test_unsqueeze_negative_axes", 2, 1}, {"test_unsqueeze_three_axes", 2, 1}, {"test_unsqueeze_two_axes", 2, 1}, {"test_unsqueeze_unsorted_axes", 2, 1}, {"test_upsample_nearest", 2, 1}, {"test_where_example", 3, 1}, {"test_where_long_example", 3, 1}, {"test_xor2d", 2, 1}, {"test_xor3d", 2, 1}, {"test_xor4d", 2, 1}, {"test_xor_bcast3v1d", 2, 1}, {"test_xor_bcast3v2d", 2, 1}, {"test_xor_bcast4v2d", 2, 1}, {"test_xor_bcast4v3d", 2, 1}, {"test_xor_bcast4v4d", 2, 1}, }; std::ostream& operator<<(std::ostream& os, const TestCase& test_case) { return os << test_case.name; } typedef tuple > ONNXConfParams; std::string printOnnxConfParams(const testing::TestParamInfo& params) { TestCase test_case = get<0>(params.param); Backend backend = get<0>(get<1>(params.param)); Target target = get<1>(get<1>(params.param)); std::stringstream ss; ss << test_case.name << "_"; PrintTo(backend, &ss); ss << "_"; PrintTo(target, &ss); return ss.str(); } class Test_ONNX_conformance : public TestWithParam { public: TestCase test_case; Backend backend; Target target; double default_l1; double default_lInf; static std::set parser_deny_list; static std::set global_deny_list; static std::set opencv_deny_list; static std::set opencl_fp16_deny_list; static std::set opencl_deny_list; static std::set cpu_deny_list; #ifdef HAVE_HALIDE static std::set halide_deny_list; #endif #ifdef HAVE_VULKAN static std::set vulkan_deny_list; #endif #ifdef HAVE_CUDA static std::set cuda_deny_list; static std::set cuda_fp16_deny_list; #endif Test_ONNX_conformance() { test_case = get<0>(GetParam()); backend = get<0>(get<1>(GetParam())); target = get<1>(get<1>(GetParam())); if (target == DNN_TARGET_CUDA_FP16 || target == DNN_TARGET_OPENCL_FP16 || target == DNN_TARGET_MYRIAD || target == DNN_TARGET_CPU_FP16) { default_l1 = 7e-3; default_lInf = 2e-2; } else { default_l1 = 1e-5; default_lInf = 1e-4; } } bool checkFallbacks(Net& net) const { // Check if all the layers are supported with current backend and target. // Some layers might be fused so their timings equal to zero. std::vector timings; net.getPerfProfile(timings); std::vector names = net.getLayerNames(); CV_CheckEQ(names.size(), timings.size(), "DNN critical error"); bool hasFallbacks = false; for (int i = 0; i < names.size(); ++i) { Ptr l = net.getLayer(net.getLayerId(names[i])); bool fused = timings[i] == 0.; if ((!l->supportBackend(backend) || l->preferableTarget != target) && !fused) { hasFallbacks = true; std::cout << "FALLBACK: Layer [" << l->type << "]:[" << l->name << "] is expected to have backend implementation" << endl; } } return hasFallbacks; } static void SetUpTestCase() { parser_deny_list = { #include "test_onnx_conformance_layer_parser_denylist.inl.hpp" }; global_deny_list = { #include "test_onnx_conformance_layer_filter_opencv_all_denylist.inl.hpp" }; opencv_deny_list = { #include "test_onnx_conformance_layer_filter_opencv_denylist.inl.hpp" }; opencl_fp16_deny_list = { #include "test_onnx_conformance_layer_filter_opencv_ocl_fp16_denylist.inl.hpp" }; opencl_deny_list = { #include "test_onnx_conformance_layer_filter_opencv_ocl_fp32_denylist.inl.hpp" }; cpu_deny_list = { #include "test_onnx_conformance_layer_filter_opencv_cpu_denylist.inl.hpp" }; #ifdef HAVE_HALIDE halide_deny_list = { #include "test_onnx_conformance_layer_filter__halide_denylist.inl.hpp" }; #endif #ifdef HAVE_VULKAN vulkan_deny_list = { #include "test_onnx_conformance_layer_filter__vulkan_denylist.inl.hpp" }; #endif #ifdef HAVE_CUDA cuda_deny_list = { #include "test_onnx_conformance_layer_filter__cuda_denylist.inl.hpp" }; cuda_fp16_deny_list = { #include "test_onnx_conformance_layer_filter__cuda_fp16_denylist.inl.hpp" }; #endif } }; std::set Test_ONNX_conformance::parser_deny_list; std::set Test_ONNX_conformance::global_deny_list; std::set Test_ONNX_conformance::opencv_deny_list; std::set Test_ONNX_conformance::opencl_fp16_deny_list; std::set Test_ONNX_conformance::opencl_deny_list; std::set Test_ONNX_conformance::cpu_deny_list; #ifdef HAVE_HALIDE std::set Test_ONNX_conformance::halide_deny_list; #endif #ifdef HAVE_VULKAN std::set Test_ONNX_conformance::vulkan_deny_list; #endif #ifdef HAVE_CUDA std::set Test_ONNX_conformance::cuda_deny_list; std::set Test_ONNX_conformance::cuda_fp16_deny_list; #endif TEST_P(Test_ONNX_conformance, Layer_Test) { const std::string& name = test_case.name; ASSERT_FALSE(name.empty()); bool checkLayersFallbacks = true; bool checkAccuracy = true; // SKIP when the test case is in the parser deny list. if (parser_deny_list.find(name) != parser_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_PARSER, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } // SKIP when the test case is in the global deny list. if (global_deny_list.find(name) != global_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_GLOBAL, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if (backend == DNN_BACKEND_OPENCV) { if (opencv_deny_list.find(name) != opencv_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCV_BACKEND, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if ((target == DNN_TARGET_OPENCL_FP16) && (opencl_fp16_deny_list.find(name) != opencl_fp16_deny_list.end())) { applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL_FP16, CV_TEST_TAG_DNN_SKIP_OPENCV_BACKEND, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if ((target == DNN_TARGET_OPENCL) && (opencl_deny_list.find(name) != opencl_deny_list.end())) { applyTestTag(CV_TEST_TAG_DNN_SKIP_OPENCL, CV_TEST_TAG_DNN_SKIP_OPENCV_BACKEND, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if ((target == DNN_TARGET_CPU) && (cpu_deny_list.find(name) != cpu_deny_list.end())) { applyTestTag(CV_TEST_TAG_DNN_SKIP_CPU, CV_TEST_TAG_DNN_SKIP_OPENCV_BACKEND, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if (name == "test_gelu_tanh_1") { default_l1 = 0.00011; // Expected: (normL1) <= (l1), actual: 0.000101805 vs 1e-05 default_lInf = 0.00016; // Expected: (normInf) <= (lInf), actual: 0.000152707 vs 0.0001 } if (name == "test_gelu_tanh_2") { if (target == DNN_TARGET_OPENCL_FP16) { default_l1 = 0.00016; // Expected: (normL1) <= (l1), actual: 0.000157223 vs 9e-05 default_lInf = 0.0016; // Expected: (normInf) <= (lInf), actual: 0.00153041 vs 0.0005 } else { default_l1 = 9e-5; // Expected: (normL1) <= (l1), actual: 8.80073e-05 vs 1e-05 default_lInf = 0.0005; // Expected: (normInf) <= (lInf), actual: 0.000455521 vs 0.0001 } } } #ifdef HAVE_HALIDE else if (backend == DNN_BACKEND_HALIDE) { if (halide_deny_list.find(name) != halide_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_HALIDE, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } } #endif #ifdef HAVE_INF_ENGINE else if (backend == DNN_BACKEND_INFERENCE_ENGINE_NGRAPH) { #include "test_onnx_conformance_layer_filter__openvino.inl.hpp" } #endif #ifdef HAVE_VULKAN else if (backend == DNN_BACKEND_VKCOM) { if (vulkan_deny_list.find(name) != vulkan_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_VULKAN, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if (name == "test_gelu_tanh_1") { default_l1 = 0.00011; // Expected: (normL1) <= (l1), actual: 0.000101805 vs 1e-05 default_lInf = 0.00016; // Expected: (normInf) <= (lInf), actual: 0.000152707 vs 0.0001 } if (name == "test_gelu_tanh_2") { default_l1 = 9e-5; // Expected: (normL1) <= (l1), actual: 8.80073e-05 vs 1e-05 default_lInf = 0.0005; // Expected: (normInf) <= (lInf), actual: 0.000455521 vs 0.0001 } } #endif #ifdef HAVE_CUDA else if (backend == DNN_BACKEND_CUDA) { if (target == DNN_TARGET_CUDA && cuda_deny_list.find(name) != cuda_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if (target == DNN_TARGET_CUDA_FP16 && cuda_fp16_deny_list.find(name) != cuda_fp16_deny_list.end()) { applyTestTag(CV_TEST_TAG_DNN_SKIP_CUDA_FP16, CV_TEST_TAG_DNN_SKIP_ONNX_CONFORMANCE); } if (name == "test_gelu_tanh_1") { default_l1 = 0.00011; // Expected: (normL1) <= (l1), actual: 0.000101815 vs 1e-05 default_lInf = 0.00016; // Expected: (normInf) <= (lInf), actual: 0.000152737 vs 0.0001 } if (name == "test_gelu_tanh_2") { if (target == DNN_TARGET_CUDA_FP16) { default_l1 = 0.00023; // Expected: (normL1) <= (l1), actual: 0.000220591 vs 9e-05 default_lInf = 0.0023; // Expected: (normInf) <= (lInf), actual: 0.00220466 vs 0.0005 } else { default_l1 = 9e-5; // Expected: (normL1) <= (l1), actual: 8.80127e-05 vs 1e-05 default_lInf = 0.0005; // Expected: (normInf) <= (lInf), actual: 0.000455445 vs 0.0001 } } } #endif else { std::ostringstream ss; ss << "No test filter available for backend "; PrintTo(backend, &ss); ss << ". Run test by default"; std::cout << ss.str() << std::endl; } std::vector inputs; std::vector ref_outputs; std::string prefix = cv::format("dnn/onnx/conformance/node/%s", test_case.name); Net net; try { std::string model_path = findDataFile(prefix + "/model.onnx"); //cout << "Read ONNX inputs..." << endl; for (int i = 0; i < test_case.inputs; ++i) { Mat input = readTensorFromONNX(findDataFile(prefix + cv::format("/test_data_set_0/input_%d.pb", i))); inputs.push_back(input); } //cout << "Read ONNX reference outputs..." << endl; for (int i = 0; i < test_case.outputs; ++i) { Mat output = readTensorFromONNX(findDataFile(prefix + cv::format("/test_data_set_0/output_%d.pb", i))); ref_outputs.push_back(output); } //cout << "Parse model..." << endl; net = readNetFromONNX(model_path); if (net.empty()) { applyTestTag(CV_TEST_TAG_DNN_ERROR_PARSER); } } catch (...) { cout << "Exception during ONNX model parse / loading input / loading reference data!" << endl; applyTestTag(CV_TEST_TAG_DNN_ERROR_PARSER); throw; } ASSERT_FALSE(net.empty()); std::vector inputNames; for (int i = 0; i < inputs.size(); ++i) inputNames.push_back(cv::format("%d", i)); net.setInputsNames(inputNames); try { net.setPreferableBackend(backend); net.setPreferableTarget(target); for (int i = 0; i < inputs.size(); ++i) { net.setInput(inputs[i], inputNames[i]); } } catch (...) { cout << "Exception during network configuration!" << endl; applyTestTag(CV_TEST_TAG_DNN_ERROR_NET_SETUP); throw; } std::vector layerNames = net.getUnconnectedOutLayersNames(); std::vector outputs; try { net.forward(outputs, layerNames); } catch (...) { cout << "Exception during net.forward() call!" << endl; applyTestTag(CV_TEST_TAG_DNN_ERROR_FORWARD); throw; } ASSERT_GE(outputs.size(), 1); if (checkLayersFallbacks && checkFallbacks(net)) { applyTestTag(CV_TEST_TAG_DNN_LAYER_FALLBACK); } if (checkAccuracy) { try { if (ref_outputs.size() == 1) { // probably we found random unconnected layers. normAssert(ref_outputs[0], outputs[0], "", default_l1, default_lInf); } else { ASSERT_EQ(outputs.size(), ref_outputs.size()); for (size_t i = 0; i < ref_outputs.size(); ++i) { normAssert(ref_outputs[i], outputs[i], "", default_l1, default_lInf); } } } catch (...) { cout << "Exception during accuracy check!" << endl; throw; } } else { applyTestTag(CV_TEST_TAG_DNN_NO_ACCURACY_CHECK); } if (!HasFailure()) cout << "Test passed!" << endl; } INSTANTIATE_TEST_CASE_P(/**/, Test_ONNX_conformance, testing::Combine( testing::ValuesIn(testConformanceConfig), dnnBackendsAndTargets(/* withInferenceEngine = */ true) ), printOnnxConfParams ); }