mirror of
https://github.com/opencv/opencv.git
synced 2026-07-26 22:03:04 +04:00
Abhishek Gola
0a8603b3ac
SIMD Kernel speedup for DNN layers #28889 This PR add following speedups for Grounding Dino tiny model. For Device: Intel(R) Core(TM) i9-14900KS, x86, 32 Cores, ubuntu 24.04, | Model | `ENGINE_NEW (Before)` | `ENGINE_NEW (After)` | `ENGINE_ORT` | | :--- | :--- | :--- | :--- | | **Grounding Dino Tiny** | 3130 ms | 1872.06 ms| 1800.18 ms| ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [x] The PR is proposed to the proper branch - [x] There is a reference to the original bug report and related work - [x] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [x] The feature is well documented and sample code can be built with the project CMake
2155 lines
94 KiB
C++
2155 lines
94 KiB
C++
// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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#include "test_precomp.hpp"
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#include <set>
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#include <string>
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#include "npy_blob.hpp"
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#include <opencv2/dnn/shape_utils.hpp>
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#include <opencv2/core/utils/filesystem.hpp>
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#if defined(_MSC_VER) // workaround for 32-bit MSVC compiler
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#pragma optimize("", off)
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#endif
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#define CV_TEST_TAG_DNN_ERROR_PARSER "dnn_error_parser"
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#define CV_TEST_TAG_DNN_ERROR_NET_SETUP "dnn_error_net_setup"
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#define CV_TEST_TAG_DNN_ERROR_FORWARD "dnn_error_forward"
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#define CV_TEST_TAG_DNN_LAYER_FALLBACK "dnn_layer_fallback"
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#define CV_TEST_TAG_DNN_NO_ACCURACY_CHECK "dnn_no_accuracy_check"
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namespace opencv_test {
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struct TestCase
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{
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const char* name;
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uint32_t inputs;
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uint32_t outputs;
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};
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static const TestCase testConformanceConfig[] = {
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{"test_abs", 1, 1},
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{"test_acos", 1, 1},
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{"test_acos_example", 1, 1},
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{"test_acosh", 1, 1},
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{"test_acosh_example", 1, 1},
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{"test_adagrad", 5, 2},
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{"test_adagrad_multiple", 8, 4},
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{"test_adam", 6, 3},
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{"test_adam_multiple", 10, 6},
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{"test_add", 2, 1},
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{"test_add_bcast", 2, 1},
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{"test_add_uint8", 2, 1},
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{"test_and2d", 2, 1},
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{"test_and3d", 2, 1},
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{"test_and4d", 2, 1},
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{"test_and_bcast3v1d", 2, 1},
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{"test_and_bcast3v2d", 2, 1},
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{"test_and_bcast4v2d", 2, 1},
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{"test_and_bcast4v3d", 2, 1},
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{"test_and_bcast4v4d", 2, 1},
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{"test_argmax_default_axis_example", 1, 1},
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{"test_argmax_default_axis_example_select_last_index", 1, 1},
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{"test_argmax_default_axis_random", 1, 1},
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{"test_argmax_default_axis_random_select_last_index", 1, 1},
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{"test_argmax_keepdims_example", 1, 1},
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{"test_argmax_keepdims_example_select_last_index", 1, 1},
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{"test_argmax_keepdims_random", 1, 1},
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{"test_argmax_keepdims_random_select_last_index", 1, 1},
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{"test_argmax_negative_axis_keepdims_example", 1, 1},
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{"test_argmax_negative_axis_keepdims_example_select_last_index", 1, 1},
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{"test_argmax_negative_axis_keepdims_random", 1, 1},
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{"test_argmax_negative_axis_keepdims_random_select_last_index", 1, 1},
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{"test_argmax_no_keepdims_example", 1, 1},
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{"test_argmax_no_keepdims_example_select_last_index", 1, 1},
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{"test_argmax_no_keepdims_random", 1, 1},
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{"test_argmax_no_keepdims_random_select_last_index", 1, 1},
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{"test_argmin_default_axis_example", 1, 1},
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{"test_argmin_default_axis_example_select_last_index", 1, 1},
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{"test_argmin_default_axis_random", 1, 1},
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{"test_argmin_default_axis_random_select_last_index", 1, 1},
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{"test_argmin_keepdims_example", 1, 1},
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{"test_argmin_keepdims_example_select_last_index", 1, 1},
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{"test_argmin_keepdims_random", 1, 1},
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{"test_argmin_keepdims_random_select_last_index", 1, 1},
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{"test_argmin_negative_axis_keepdims_example", 1, 1},
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{"test_argmin_negative_axis_keepdims_example_select_last_index", 1, 1},
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{"test_argmin_negative_axis_keepdims_random", 1, 1},
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{"test_argmin_negative_axis_keepdims_random_select_last_index", 1, 1},
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{"test_argmin_no_keepdims_example", 1, 1},
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{"test_argmin_no_keepdims_example_select_last_index", 1, 1},
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{"test_argmin_no_keepdims_random", 1, 1},
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{"test_argmin_no_keepdims_random_select_last_index", 1, 1},
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{"test_asin", 1, 1},
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{"test_asin_example", 1, 1},
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{"test_asinh", 1, 1},
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{"test_asinh_example", 1, 1},
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{"test_atan", 1, 1},
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{"test_atan_example", 1, 1},
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{"test_atanh", 1, 1},
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{"test_atanh_example", 1, 1},
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{"test_averagepool_1d_default", 1, 1},
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{"test_averagepool_2d_ceil", 1, 1},
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{"test_averagepool_2d_default", 1, 1},
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{"test_averagepool_2d_pads", 1, 1},
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{"test_averagepool_2d_pads_count_include_pad", 1, 1},
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{"test_averagepool_2d_precomputed_pads", 1, 1},
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{"test_averagepool_2d_precomputed_pads_count_include_pad", 1, 1},
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{"test_averagepool_2d_precomputed_same_upper", 1, 1},
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{"test_averagepool_2d_precomputed_strides", 1, 1},
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{"test_averagepool_2d_same_lower", 1, 1},
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{"test_averagepool_2d_same_upper", 1, 1},
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{"test_averagepool_2d_strides", 1, 1},
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{"test_averagepool_3d_default", 1, 1},
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{"test_basic_conv_with_padding", 2, 1},
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{"test_basic_conv_without_padding", 2, 1},
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{"test_basic_convinteger", 3, 1},
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{"test_batchnorm_epsilon", 5, 1},
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{"test_batchnorm_epsilon_training_mode", 5, 3},
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{"test_batchnorm_example", 5, 1},
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{"test_batchnorm_example_training_mode", 5, 3},
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{"test_bernoulli", 1, 1},
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{"test_bernoulli_double", 1, 1},
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{"test_bernoulli_double_expanded", 1, 1},
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{"test_bernoulli_expanded", 1, 1},
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{"test_bernoulli_seed", 1, 1},
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{"test_bernoulli_seed_expanded", 1, 1},
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{"test_bitshift_left_uint16", 2, 1},
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{"test_bitshift_left_uint32", 2, 1},
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{"test_bitshift_left_uint64", 2, 1},
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{"test_bitshift_left_uint8", 2, 1},
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{"test_bitshift_right_uint16", 2, 1},
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{"test_bitshift_right_uint32", 2, 1},
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{"test_bitshift_right_uint64", 2, 1},
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{"test_bitshift_right_uint8", 2, 1},
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{"test_cast_BFLOAT16_to_FLOAT", 1, 1},
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{"test_cast_DOUBLE_to_FLOAT", 1, 1},
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{"test_cast_DOUBLE_to_FLOAT16", 1, 1},
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{"test_cast_FLOAT16_to_DOUBLE", 1, 1},
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{"test_cast_FLOAT16_to_FLOAT", 1, 1},
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{"test_cast_FLOAT_to_BFLOAT16", 1, 1},
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{"test_cast_FLOAT_to_DOUBLE", 1, 1},
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{"test_cast_FLOAT_to_FLOAT16", 1, 1},
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{"test_cast_FLOAT_to_STRING", 1, 1},
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{"test_cast_STRING_to_FLOAT", 1, 1},
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{"test_castlike_BFLOAT16_to_FLOAT", 2, 1},
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{"test_castlike_BFLOAT16_to_FLOAT_expanded", 2, 1},
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{"test_castlike_DOUBLE_to_FLOAT", 2, 1},
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{"test_castlike_DOUBLE_to_FLOAT16", 2, 1},
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{"test_castlike_DOUBLE_to_FLOAT16_expanded", 2, 1},
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{"test_castlike_DOUBLE_to_FLOAT_expanded", 2, 1},
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{"test_castlike_FLOAT16_to_DOUBLE", 2, 1},
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{"test_castlike_FLOAT16_to_DOUBLE_expanded", 2, 1},
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{"test_castlike_FLOAT16_to_FLOAT", 2, 1},
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{"test_castlike_FLOAT16_to_FLOAT_expanded", 2, 1},
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{"test_castlike_FLOAT_to_BFLOAT16", 2, 1},
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{"test_castlike_FLOAT_to_BFLOAT16_expanded", 2, 1},
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{"test_castlike_FLOAT_to_DOUBLE", 2, 1},
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{"test_castlike_FLOAT_to_DOUBLE_expanded", 2, 1},
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{"test_castlike_FLOAT_to_FLOAT16", 2, 1},
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{"test_castlike_FLOAT_to_FLOAT16_expanded", 2, 1},
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{"test_castlike_FLOAT_to_STRING", 2, 1},
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{"test_castlike_FLOAT_to_STRING_expanded", 2, 1},
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{"test_castlike_STRING_to_FLOAT", 2, 1},
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{"test_castlike_STRING_to_FLOAT_expanded", 2, 1},
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{"test_ceil", 1, 1},
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{"test_ceil_example", 1, 1},
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{"test_celu", 1, 1},
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{"test_celu_expanded", 1, 1},
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{"test_clip", 3, 1},
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{"test_clip_default_inbounds", 1, 1},
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{"test_clip_default_int8_inbounds", 1, 1},
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{"test_clip_default_int8_max", 2, 1},
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{"test_clip_default_int8_min", 2, 1},
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{"test_clip_default_max", 2, 1},
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{"test_clip_default_min", 2, 1},
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{"test_clip_example", 3, 1},
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{"test_clip_inbounds", 3, 1},
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{"test_clip_outbounds", 3, 1},
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{"test_clip_splitbounds", 3, 1},
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{"test_compress_0", 2, 1},
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{"test_compress_1", 2, 1},
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{"test_compress_default_axis", 2, 1},
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{"test_compress_negative_axis", 2, 1},
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{"test_concat_1d_axis_0", 2, 1},
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{"test_concat_1d_axis_negative_1", 2, 1},
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{"test_concat_2d_axis_0", 2, 1},
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{"test_concat_2d_axis_1", 2, 1},
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{"test_concat_2d_axis_negative_1", 2, 1},
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{"test_concat_2d_axis_negative_2", 2, 1},
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{"test_concat_3d_axis_0", 2, 1},
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{"test_concat_3d_axis_1", 2, 1},
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{"test_concat_3d_axis_2", 2, 1},
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{"test_concat_3d_axis_negative_1", 2, 1},
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{"test_concat_3d_axis_negative_2", 2, 1},
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{"test_concat_3d_axis_negative_3", 2, 1},
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{"test_constant", 0, 1},
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{"test_constant_pad", 3, 1},
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{"test_constantofshape_float_ones", 1, 1},
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{"test_constantofshape_int_shape_zero", 1, 1},
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{"test_constantofshape_int_zeros", 1, 1},
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{"test_conv_with_autopad_same", 2, 1},
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{"test_conv_with_strides_and_asymmetric_padding", 2, 1},
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{"test_conv_with_strides_no_padding", 2, 1},
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{"test_conv_with_strides_padding", 2, 1},
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{"test_convinteger_with_padding", 3, 1},
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{"test_convinteger_without_padding", 3, 1},
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{"test_convtranspose", 2, 1},
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{"test_convtranspose_1d", 2, 1},
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{"test_convtranspose_3d", 2, 1},
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{"test_convtranspose_autopad_same", 2, 1},
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{"test_convtranspose_dilations", 2, 1},
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{"test_convtranspose_kernel_shape", 2, 1},
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{"test_convtranspose_output_shape", 2, 1},
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{"test_convtranspose_pad", 2, 1},
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{"test_convtranspose_pads", 2, 1},
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{"test_convtranspose_with_kernel", 2, 1},
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{"test_cos", 1, 1},
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{"test_cos_example", 1, 1},
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{"test_cosh", 1, 1},
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{"test_cosh_example", 1, 1},
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{"test_cumsum_1d", 2, 1},
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{"test_cumsum_1d_exclusive", 2, 1},
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{"test_cumsum_1d_reverse", 2, 1},
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{"test_cumsum_1d_reverse_exclusive", 2, 1},
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{"test_cumsum_2d_axis_0", 2, 1},
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{"test_cumsum_2d_axis_1", 2, 1},
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{"test_cumsum_2d_negative_axis", 2, 1},
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{"test_depthtospace_crd_mode", 1, 1},
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{"test_depthtospace_crd_mode_example", 1, 1},
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{"test_depthtospace_dcr_mode", 1, 1},
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{"test_depthtospace_example", 1, 1},
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{"test_dequantizelinear", 3, 1},
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{"test_dequantizelinear_axis", 3, 1},
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{"test_dequantizelinear_blocked", 3, 1},
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{"test_det_2d", 1, 1},
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{"test_det_nd", 1, 1},
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{"test_div", 2, 1},
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{"test_div_bcast", 2, 1},
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{"test_div_example", 2, 1},
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{"test_div_uint8", 2, 1},
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{"test_dropout_default", 1, 1},
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{"test_dropout_default_mask", 1, 2},
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{"test_dropout_default_mask_ratio", 2, 2},
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{"test_dropout_default_old", 1, 1},
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{"test_dropout_default_ratio", 2, 1},
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{"test_dropout_random_old", 1, 1},
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{"test_dynamicquantizelinear", 1, 3},
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{"test_dynamicquantizelinear_expanded", 1, 3},
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{"test_dynamicquantizelinear_max_adjusted", 1, 3},
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{"test_dynamicquantizelinear_max_adjusted_expanded", 1, 3},
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{"test_dynamicquantizelinear_min_adjusted", 1, 3},
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{"test_dynamicquantizelinear_min_adjusted_expanded", 1, 3},
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{"test_edge_pad", 2, 1},
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{"test_einsum_batch_diagonal", 1, 1},
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{"test_einsum_batch_matmul", 2, 1},
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{"test_einsum_inner_prod", 2, 1},
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{"test_einsum_sum", 1, 1},
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{"test_einsum_transpose", 1, 1},
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{"test_elu", 1, 1},
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{"test_elu_default", 1, 1},
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{"test_elu_default_expanded_ver18", 1, 1},
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{"test_elu_example", 1, 1},
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{"test_elu_example_expanded_ver18", 1, 1},
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{"test_elu_expanded_ver18", 1, 1},
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{"test_equal", 2, 1},
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{"test_equal_bcast", 2, 1},
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{"test_erf", 1, 1},
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{"test_exp", 1, 1},
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{"test_exp_example", 1, 1},
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{"test_expand_dim_changed", 2, 1},
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{"test_expand_dim_unchanged", 2, 1},
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{"test_eyelike_populate_off_main_diagonal", 1, 1},
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{"test_eyelike_with_dtype", 1, 1},
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{"test_eyelike_without_dtype", 1, 1},
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{"test_flatten_axis0", 1, 1},
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{"test_flatten_axis1", 1, 1},
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{"test_flatten_axis2", 1, 1},
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{"test_flatten_axis3", 1, 1},
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{"test_flatten_default_axis", 1, 1},
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{"test_flatten_negative_axis1", 1, 1},
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{"test_flatten_negative_axis2", 1, 1},
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{"test_flatten_negative_axis3", 1, 1},
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{"test_flatten_negative_axis4", 1, 1},
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{"test_floor", 1, 1},
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{"test_floor_example", 1, 1},
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{"test_gather_0", 2, 1},
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{"test_gather_1", 2, 1},
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{"test_gather_2d_indices", 2, 1},
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{"test_gather_elements_0", 2, 1},
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{"test_gather_elements_1", 2, 1},
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{"test_gather_elements_negative_indices", 2, 1},
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{"test_gather_negative_indices", 2, 1},
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{"test_gathernd_example_float32", 2, 1},
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{"test_gathernd_example_int32", 2, 1},
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{"test_gathernd_example_int32_batch_dim1", 2, 1},
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{"test_gelu_default_1", 1, 1},
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{"test_gelu_default_1_expanded", 1, 1},
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{"test_gelu_default_2", 1, 1},
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{"test_gelu_default_2_expanded", 1, 1},
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{"test_gelu_tanh_1", 1, 1},
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{"test_gelu_tanh_1_expanded", 1, 1},
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{"test_gelu_tanh_2", 1, 1},
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{"test_gelu_tanh_2_expanded", 1, 1},
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{"test_gemm_all_attributes", 3, 1},
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{"test_gemm_alpha", 3, 1},
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{"test_gemm_beta", 3, 1},
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{"test_gemm_default_matrix_bias", 3, 1},
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{"test_gemm_default_no_bias", 2, 1},
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{"test_gemm_default_scalar_bias", 3, 1},
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{"test_gemm_default_single_elem_vector_bias", 3, 1},
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{"test_gemm_default_vector_bias", 3, 1},
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{"test_gemm_default_zero_bias", 3, 1},
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{"test_gemm_transposeA", 3, 1},
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{"test_gemm_transposeB", 3, 1},
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{"test_globalaveragepool", 1, 1},
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{"test_globalaveragepool_precomputed", 1, 1},
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{"test_globalmaxpool", 1, 1},
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{"test_globalmaxpool_precomputed", 1, 1},
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{"test_greater", 2, 1},
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{"test_greater_bcast", 2, 1},
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{"test_greater_equal", 2, 1},
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{"test_greater_equal_bcast", 2, 1},
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{"test_greater_equal_bcast_expanded", 2, 1},
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{"test_greater_equal_expanded", 2, 1},
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{"test_gridsample", 2, 1},
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{"test_gridsample_aligncorners_true", 2, 1},
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{"test_gridsample_bicubic", 2, 1},
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{"test_gridsample_bilinear", 2, 1},
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{"test_gridsample_border_padding", 2, 1},
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{"test_gridsample_nearest", 2, 1},
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{"test_gridsample_reflection_padding", 2, 1},
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{"test_gridsample_zeros_padding", 2, 1},
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{"test_group_normalization_epsilon", 3, 1},
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{"test_group_normalization_example", 3, 1},
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{"test_gru_batchwise", 3, 2},
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{"test_gru_defaults", 3, 1},
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{"test_gru_seq_length", 4, 1},
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{"test_gru_with_initial_bias", 4, 1},
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{"test_hardmax_axis_0", 1, 1},
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{"test_hardmax_axis_1", 1, 1},
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{"test_hardmax_axis_2", 1, 1},
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{"test_hardmax_default_axis", 1, 1},
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{"test_hardmax_example", 1, 1},
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{"test_hardmax_negative_axis", 1, 1},
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{"test_hardmax_one_hot", 1, 1},
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{"test_hardsigmoid", 1, 1},
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{"test_hardsigmoid_default", 1, 1},
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{"test_hardsigmoid_example", 1, 1},
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{"test_hardswish", 1, 1},
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{"test_hardswish_expanded", 1, 1},
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{"test_identity", 1, 1},
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{"test_identity_opt", 1, 1},
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{"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_mish", 1, 1},
|
|
{"test_mish_expanded", 1, 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},
|
|
{"test_optional_get_element", 1, 1},
|
|
{"test_optional_get_element_sequence", 1, 1},
|
|
{"test_optional_has_element", 1, 1},
|
|
{"test_optional_has_element_empty", 1, 1},
|
|
{"test_or2d", 2, 1},
|
|
{"test_or3d", 2, 1},
|
|
{"test_or4d", 2, 1},
|
|
{"test_or_bcast3v1d", 2, 1},
|
|
{"test_or_bcast3v2d", 2, 1},
|
|
{"test_or_bcast4v2d", 2, 1},
|
|
{"test_or_bcast4v3d", 2, 1},
|
|
{"test_or_bcast4v4d", 2, 1},
|
|
{"test_pow", 2, 1},
|
|
{"test_pow_bcast_array", 2, 1},
|
|
{"test_pow_bcast_scalar", 2, 1},
|
|
{"test_pow_example", 2, 1},
|
|
{"test_pow_types_float", 2, 1},
|
|
{"test_pow_types_float32_int32", 2, 1},
|
|
{"test_pow_types_float32_int64", 2, 1},
|
|
{"test_pow_types_float32_uint32", 2, 1},
|
|
{"test_pow_types_float32_uint64", 2, 1},
|
|
{"test_pow_types_int", 2, 1},
|
|
{"test_pow_types_int32_float32", 2, 1},
|
|
{"test_pow_types_int32_int32", 2, 1},
|
|
{"test_pow_types_int64_float32", 2, 1},
|
|
{"test_pow_types_int64_int64", 2, 1},
|
|
{"test_prelu_broadcast", 2, 1},
|
|
{"test_prelu_example", 2, 1},
|
|
{"test_qlinearconv", 8, 1},
|
|
{"test_qlinearmatmul_2D", 8, 1},
|
|
{"test_qlinearmatmul_3D", 8, 1},
|
|
{"test_quantizelinear", 3, 1},
|
|
{"test_quantizelinear_axis", 3, 1},
|
|
{"test_quantizelinear_blocked", 3, 1},
|
|
{"test_range_float_type_positive_delta", 3, 1},
|
|
{"test_range_float_type_positive_delta_expanded", 3, 1},
|
|
{"test_range_int32_type_negative_delta", 3, 1},
|
|
{"test_range_int32_type_negative_delta_expanded", 3, 1},
|
|
{"test_reciprocal", 1, 1},
|
|
{"test_reciprocal_example", 1, 1},
|
|
{"test_reduce_l1_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_l1_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_l1_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_l1_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_l1_keep_dims_example", 1, 1},
|
|
{"test_reduce_l1_keep_dims_random", 1, 1},
|
|
{"test_reduce_l1_negative_axes_keep_dims_example", 1, 1},
|
|
{"test_reduce_l1_negative_axes_keep_dims_random", 1, 1},
|
|
{"test_reduce_l2_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_l2_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_l2_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_l2_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_l2_keep_dims_example", 1, 1},
|
|
{"test_reduce_l2_keep_dims_random", 1, 1},
|
|
{"test_reduce_l2_negative_axes_keep_dims_example", 1, 1},
|
|
{"test_reduce_l2_negative_axes_keep_dims_random", 1, 1},
|
|
{"test_reduce_log_sum", 1, 1},
|
|
{"test_reduce_log_sum_asc_axes", 1, 1},
|
|
{"test_reduce_log_sum_default", 1, 1},
|
|
{"test_reduce_log_sum_desc_axes", 1, 1},
|
|
{"test_reduce_log_sum_exp_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_log_sum_exp_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_log_sum_exp_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_log_sum_exp_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_log_sum_exp_keepdims_example", 1, 1},
|
|
{"test_reduce_log_sum_exp_keepdims_random", 1, 1},
|
|
{"test_reduce_log_sum_exp_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_log_sum_exp_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_log_sum_negative_axes", 1, 1},
|
|
{"test_reduce_max_default_axes_keepdim_example", 1, 1},
|
|
{"test_reduce_max_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_max_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_max_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_max_keepdims_example", 1, 1},
|
|
{"test_reduce_max_keepdims_random", 1, 1},
|
|
{"test_reduce_max_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_max_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_mean_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_mean_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_mean_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_mean_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_mean_keepdims_example", 1, 1},
|
|
{"test_reduce_mean_keepdims_random", 1, 1},
|
|
{"test_reduce_mean_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_mean_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_min_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_min_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_min_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_min_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_min_keepdims_example", 1, 1},
|
|
{"test_reduce_min_keepdims_random", 1, 1},
|
|
{"test_reduce_min_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_min_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_prod_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_prod_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_prod_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_prod_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_prod_keepdims_example", 1, 1},
|
|
{"test_reduce_prod_keepdims_random", 1, 1},
|
|
{"test_reduce_prod_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_prod_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_sum_default_axes_keepdims_example", 2, 1},
|
|
{"test_reduce_sum_default_axes_keepdims_random", 2, 1},
|
|
{"test_reduce_sum_do_not_keepdims_example", 2, 1},
|
|
{"test_reduce_sum_do_not_keepdims_random", 2, 1},
|
|
{"test_reduce_sum_empty_axes_input_noop_example", 2, 1},
|
|
{"test_reduce_sum_empty_axes_input_noop_random", 2, 1},
|
|
{"test_reduce_sum_keepdims_example", 2, 1},
|
|
{"test_reduce_sum_keepdims_random", 2, 1},
|
|
{"test_reduce_sum_negative_axes_keepdims_example", 2, 1},
|
|
{"test_reduce_sum_negative_axes_keepdims_random", 2, 1},
|
|
{"test_reduce_sum_square_default_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_sum_square_default_axes_keepdims_random", 1, 1},
|
|
{"test_reduce_sum_square_do_not_keepdims_example", 1, 1},
|
|
{"test_reduce_sum_square_do_not_keepdims_random", 1, 1},
|
|
{"test_reduce_sum_square_keepdims_example", 1, 1},
|
|
{"test_reduce_sum_square_keepdims_random", 1, 1},
|
|
{"test_reduce_sum_square_negative_axes_keepdims_example", 1, 1},
|
|
{"test_reduce_sum_square_negative_axes_keepdims_random", 1, 1},
|
|
{"test_reflect_pad", 2, 1},
|
|
{"test_relu", 1, 1},
|
|
{"test_reshape_allowzero_reordered", 2, 1},
|
|
{"test_reshape_extended_dims", 2, 1},
|
|
{"test_reshape_negative_dim", 2, 1},
|
|
{"test_reshape_negative_extended_dims", 2, 1},
|
|
{"test_reshape_one_dim", 2, 1},
|
|
{"test_reshape_reduced_dims", 2, 1},
|
|
{"test_reshape_reordered_all_dims", 2, 1},
|
|
{"test_reshape_reordered_last_dims", 2, 1},
|
|
{"test_reshape_zero_and_negative_dim", 2, 1},
|
|
{"test_reshape_zero_dim", 2, 1},
|
|
{"test_resize_downsample_scales_cubic", 2, 1},
|
|
{"test_resize_downsample_scales_cubic_A_n0p5_exclude_outside", 2, 1},
|
|
{"test_resize_downsample_scales_cubic_align_corners", 2, 1},
|
|
{"test_resize_downsample_scales_linear", 2, 1},
|
|
{"test_resize_downsample_scales_linear_align_corners", 2, 1},
|
|
{"test_resize_downsample_scales_nearest", 2, 1},
|
|
{"test_resize_downsample_sizes_cubic", 2, 1},
|
|
{"test_resize_downsample_sizes_linear_pytorch_half_pixel", 2, 1},
|
|
{"test_resize_downsample_sizes_nearest", 2, 1},
|
|
{"test_resize_downsample_sizes_nearest_tf_half_pixel_for_nn", 2, 1},
|
|
{"test_resize_tf_crop_and_resize", 3, 1},
|
|
{"test_resize_upsample_scales_cubic", 2, 1},
|
|
{"test_resize_upsample_scales_cubic_A_n0p5_exclude_outside", 2, 1},
|
|
{"test_resize_upsample_scales_cubic_align_corners", 2, 1},
|
|
{"test_resize_upsample_scales_cubic_asymmetric", 2, 1},
|
|
{"test_resize_upsample_scales_linear", 2, 1},
|
|
{"test_resize_upsample_scales_linear_align_corners", 2, 1},
|
|
{"test_resize_upsample_scales_nearest", 2, 1},
|
|
{"test_resize_upsample_sizes_cubic", 2, 1},
|
|
{"test_resize_upsample_sizes_nearest", 2, 1},
|
|
{"test_resize_upsample_sizes_nearest_ceil_half_pixel", 2, 1},
|
|
{"test_resize_upsample_sizes_nearest_floor_align_corners", 2, 1},
|
|
{"test_resize_upsample_sizes_nearest_round_prefer_ceil_asymmetric", 2, 1},
|
|
{"test_reversesequence_batch", 2, 1},
|
|
{"test_reversesequence_time", 2, 1},
|
|
{"test_rnn_seq_length", 4, 1},
|
|
{"test_roialign_aligned_false", 3, 1},
|
|
{"test_roialign_aligned_true", 3, 1},
|
|
{"test_round", 1, 1},
|
|
{"test_scan9_sum", 2, 2},
|
|
{"test_scan_sum", 2, 2},
|
|
{"test_scatter_elements_with_axis", 3, 1},
|
|
{"test_scatter_elements_with_duplicate_indices", 3, 1},
|
|
{"test_scatter_elements_with_negative_indices", 3, 1},
|
|
{"test_scatter_elements_with_reduction_max", 3, 1},
|
|
{"test_scatter_elements_with_reduction_min", 3, 1},
|
|
{"test_scatter_elements_without_axis", 3, 1},
|
|
{"test_scatter_with_axis", 3, 1},
|
|
{"test_scatter_without_axis", 3, 1},
|
|
{"test_scatternd", 3, 1},
|
|
{"test_scatternd_add", 3, 1},
|
|
{"test_scatternd_max", 3, 1},
|
|
{"test_scatternd_min", 3, 1},
|
|
{"test_scatternd_multiply", 3, 1},
|
|
{"test_sce_NCd1_mean_weight_negative_ii", 3, 1},
|
|
{"test_sce_NCd1_mean_weight_negative_ii_expanded", 3, 1},
|
|
{"test_sce_NCd1_mean_weight_negative_ii_log_prob", 3, 2},
|
|
{"test_sce_NCd1_mean_weight_negative_ii_log_prob_expanded", 3, 2},
|
|
{"test_sce_NCd1d2d3_none_no_weight_negative_ii", 2, 1},
|
|
{"test_sce_NCd1d2d3_none_no_weight_negative_ii_expanded", 2, 1},
|
|
{"test_sce_NCd1d2d3_none_no_weight_negative_ii_log_prob", 2, 2},
|
|
{"test_sce_NCd1d2d3_none_no_weight_negative_ii_log_prob_expanded", 2, 2},
|
|
{"test_sce_NCd1d2d3_sum_weight_high_ii", 3, 1},
|
|
{"test_sce_NCd1d2d3_sum_weight_high_ii_expanded", 3, 1},
|
|
{"test_sce_NCd1d2d3_sum_weight_high_ii_log_prob", 3, 2},
|
|
{"test_sce_NCd1d2d3_sum_weight_high_ii_log_prob_expanded", 3, 2},
|
|
{"test_sce_NCd1d2d3d4d5_mean_weight", 3, 1},
|
|
{"test_sce_NCd1d2d3d4d5_mean_weight_expanded", 3, 1},
|
|
{"test_sce_NCd1d2d3d4d5_mean_weight_log_prob", 3, 2},
|
|
{"test_sce_NCd1d2d3d4d5_mean_weight_log_prob_expanded", 3, 2},
|
|
{"test_sce_NCd1d2d3d4d5_none_no_weight", 2, 1},
|
|
{"test_sce_NCd1d2d3d4d5_none_no_weight_expanded", 2, 1},
|
|
{"test_sce_NCd1d2d3d4d5_none_no_weight_log_prob", 2, 2},
|
|
{"test_sce_NCd1d2d3d4d5_none_no_weight_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean", 2, 1},
|
|
{"test_sce_mean_3d", 2, 1},
|
|
{"test_sce_mean_3d_expanded", 2, 1},
|
|
{"test_sce_mean_3d_log_prob", 2, 2},
|
|
{"test_sce_mean_3d_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean_expanded", 2, 1},
|
|
{"test_sce_mean_log_prob", 2, 2},
|
|
{"test_sce_mean_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean_no_weight_ii", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_3d", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_3d_expanded", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_3d_log_prob", 2, 2},
|
|
{"test_sce_mean_no_weight_ii_3d_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean_no_weight_ii_4d", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_4d_expanded", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_4d_log_prob", 2, 2},
|
|
{"test_sce_mean_no_weight_ii_4d_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean_no_weight_ii_expanded", 2, 1},
|
|
{"test_sce_mean_no_weight_ii_log_prob", 2, 2},
|
|
{"test_sce_mean_no_weight_ii_log_prob_expanded", 2, 2},
|
|
{"test_sce_mean_weight", 3, 1},
|
|
{"test_sce_mean_weight_expanded", 3, 1},
|
|
{"test_sce_mean_weight_ii", 3, 1},
|
|
{"test_sce_mean_weight_ii_3d", 3, 1},
|
|
{"test_sce_mean_weight_ii_3d_expanded", 3, 1},
|
|
{"test_sce_mean_weight_ii_3d_log_prob", 3, 2},
|
|
{"test_sce_mean_weight_ii_3d_log_prob_expanded", 3, 2},
|
|
{"test_sce_mean_weight_ii_4d", 3, 1},
|
|
{"test_sce_mean_weight_ii_4d_expanded", 3, 1},
|
|
{"test_sce_mean_weight_ii_4d_log_prob", 3, 2},
|
|
{"test_sce_mean_weight_ii_4d_log_prob_expanded", 3, 2},
|
|
{"test_sce_mean_weight_ii_expanded", 3, 1},
|
|
{"test_sce_mean_weight_ii_log_prob", 3, 2},
|
|
{"test_sce_mean_weight_ii_log_prob_expanded", 3, 2},
|
|
{"test_sce_mean_weight_log_prob", 3, 2},
|
|
{"test_sce_mean_weight_log_prob_expanded", 3, 2},
|
|
{"test_sce_none", 2, 1},
|
|
{"test_sce_none_expanded", 2, 1},
|
|
{"test_sce_none_log_prob", 2, 2},
|
|
{"test_sce_none_log_prob_expanded", 2, 2},
|
|
{"test_sce_none_weights", 3, 1},
|
|
{"test_sce_none_weights_expanded", 3, 1},
|
|
{"test_sce_none_weights_log_prob", 3, 2},
|
|
{"test_sce_none_weights_log_prob_expanded", 3, 2},
|
|
{"test_sce_sum", 2, 1},
|
|
{"test_sce_sum_expanded", 2, 1},
|
|
{"test_sce_sum_log_prob", 2, 2},
|
|
{"test_sce_sum_log_prob_expanded", 2, 2},
|
|
{"test_selu", 1, 1},
|
|
{"test_selu_default", 1, 1},
|
|
{"test_selu_default_expanded_ver18", 1, 1},
|
|
{"test_selu_example", 1, 1},
|
|
{"test_selu_example_expanded_ver18", 1, 1},
|
|
{"test_selu_expanded_ver18", 1, 1},
|
|
{"test_sequence_insert_at_back", 2, 1},
|
|
{"test_sequence_insert_at_front", 3, 1},
|
|
{"test_shape", 1, 1},
|
|
{"test_shape_clip_end", 1, 1},
|
|
{"test_shape_clip_start", 1, 1},
|
|
{"test_shape_end_1", 1, 1},
|
|
{"test_shape_end_negative_1", 1, 1},
|
|
{"test_shape_example", 1, 1},
|
|
{"test_shape_start_1", 1, 1},
|
|
{"test_shape_start_1_end_2", 1, 1},
|
|
{"test_shape_start_1_end_negative_1", 1, 1},
|
|
{"test_shape_start_negative_1", 1, 1},
|
|
{"test_shrink_hard", 1, 1},
|
|
{"test_shrink_soft", 1, 1},
|
|
{"test_sigmoid", 1, 1},
|
|
{"test_sigmoid_example", 1, 1},
|
|
{"test_sign", 1, 1},
|
|
{"test_simple_rnn_batchwise", 3, 2},
|
|
{"test_simple_rnn_defaults", 3, 1},
|
|
{"test_simple_rnn_with_initial_bias", 4, 1},
|
|
{"test_sin", 1, 1},
|
|
{"test_sin_example", 1, 1},
|
|
{"test_sinh", 1, 1},
|
|
{"test_sinh_example", 1, 1},
|
|
{"test_size", 1, 1},
|
|
{"test_size_example", 1, 1},
|
|
{"test_slice", 5, 1},
|
|
{"test_slice_default_axes", 3, 1},
|
|
{"test_slice_default_steps", 4, 1},
|
|
{"test_slice_end_out_of_bounds", 5, 1},
|
|
{"test_slice_neg", 5, 1},
|
|
{"test_slice_neg_steps", 5, 1},
|
|
{"test_slice_negative_axes", 4, 1},
|
|
{"test_slice_start_out_of_bounds", 5, 1},
|
|
{"test_softmax_axis_0", 1, 1},
|
|
{"test_softmax_axis_0_expanded", 1, 1},
|
|
{"test_softmax_axis_1", 1, 1},
|
|
{"test_softmax_axis_1_expanded", 1, 1},
|
|
{"test_softmax_axis_2", 1, 1},
|
|
{"test_softmax_axis_2_expanded", 1, 1},
|
|
{"test_softmax_default_axis", 1, 1},
|
|
{"test_softmax_default_axis_expanded", 1, 1},
|
|
{"test_softmax_example", 1, 1},
|
|
{"test_softmax_example_expanded", 1, 1},
|
|
{"test_softmax_large_number", 1, 1},
|
|
{"test_softmax_large_number_expanded", 1, 1},
|
|
{"test_softmax_negative_axis", 1, 1},
|
|
{"test_softmax_negative_axis_expanded", 1, 1},
|
|
{"test_softplus", 1, 1},
|
|
{"test_softplus_example", 1, 1},
|
|
{"test_softsign", 1, 1},
|
|
{"test_softsign_example", 1, 1},
|
|
{"test_spacetodepth", 1, 1},
|
|
{"test_spacetodepth_example", 1, 1},
|
|
{"test_split_equal_parts_1d", 1, 3},
|
|
{"test_split_equal_parts_2d", 1, 2},
|
|
{"test_split_equal_parts_default_axis", 1, 3},
|
|
{"test_split_variable_parts_1d", 2, 2},
|
|
{"test_split_variable_parts_2d", 2, 2},
|
|
{"test_split_variable_parts_default_axis", 2, 2},
|
|
{"test_split_zero_size_splits", 2, 3},
|
|
{"test_sqrt", 1, 1},
|
|
{"test_sqrt_example", 1, 1},
|
|
{"test_squeeze", 2, 1},
|
|
{"test_squeeze_negative_axes", 2, 1},
|
|
{"test_strnormalizer_export_monday_casesensintive_lower", 1, 1},
|
|
{"test_strnormalizer_export_monday_casesensintive_nochangecase", 1, 1},
|
|
{"test_strnormalizer_export_monday_casesensintive_upper", 1, 1},
|
|
{"test_strnormalizer_export_monday_empty_output", 1, 1},
|
|
{"test_strnormalizer_export_monday_insensintive_upper_twodim", 1, 1},
|
|
{"test_strnormalizer_nostopwords_nochangecase", 1, 1},
|
|
{"test_sub", 2, 1},
|
|
{"test_sub_bcast", 2, 1},
|
|
{"test_sub_example", 2, 1},
|
|
{"test_sub_uint8", 2, 1},
|
|
{"test_sum_example", 3, 1},
|
|
{"test_sum_one_input", 1, 1},
|
|
{"test_sum_two_inputs", 2, 1},
|
|
{"test_tan", 1, 1},
|
|
{"test_tan_example", 1, 1},
|
|
{"test_tanh", 1, 1},
|
|
{"test_tanh_example", 1, 1},
|
|
{"test_tfidfvectorizer_tf_batch_onlybigrams_skip0", 1, 1},
|
|
{"test_tfidfvectorizer_tf_batch_onlybigrams_skip5", 1, 1},
|
|
{"test_tfidfvectorizer_tf_batch_uniandbigrams_skip5", 1, 1},
|
|
{"test_tfidfvectorizer_tf_only_bigrams_skip0", 1, 1},
|
|
{"test_tfidfvectorizer_tf_onlybigrams_levelempty", 1, 1},
|
|
{"test_tfidfvectorizer_tf_onlybigrams_skip5", 1, 1},
|
|
{"test_tfidfvectorizer_tf_uniandbigrams_skip5", 1, 1},
|
|
{"test_thresholdedrelu", 1, 1},
|
|
{"test_thresholdedrelu_default", 1, 1},
|
|
{"test_thresholdedrelu_example", 1, 1},
|
|
{"test_tile", 2, 1},
|
|
{"test_tile_precomputed", 2, 1},
|
|
{"test_top_k", 2, 2},
|
|
{"test_top_k_negative_axis", 2, 2},
|
|
{"test_top_k_smallest", 2, 2},
|
|
{"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},
|
|
{"test_add_int16", 0, 0},
|
|
{"test_add_int8", 0, 0},
|
|
{"test_add_uint16", 0, 0},
|
|
{"test_add_uint32", 0, 0},
|
|
{"test_add_uint64", 0, 0},
|
|
{"test_affine_grid_2d", 0, 0},
|
|
{"test_affine_grid_2d_align_corners", 0, 0},
|
|
{"test_affine_grid_2d_align_corners_expanded", 0, 0},
|
|
{"test_affine_grid_2d_expanded", 0, 0},
|
|
{"test_affine_grid_3d", 0, 0},
|
|
{"test_affine_grid_3d_align_corners", 0, 0},
|
|
{"test_affine_grid_3d_align_corners_expanded", 0, 0},
|
|
{"test_affine_grid_3d_expanded", 0, 0},
|
|
{"test_ai_onnx_ml_array_feature_extractor", 0, 0},
|
|
{"test_ai_onnx_ml_binarizer", 0, 0},
|
|
{"test_ai_onnx_ml_label_encoder_string_int", 0, 0},
|
|
{"test_ai_onnx_ml_label_encoder_string_int_no_default", 0, 0},
|
|
{"test_ai_onnx_ml_label_encoder_tensor_mapping", 0, 0},
|
|
{"test_ai_onnx_ml_label_encoder_tensor_value_only_mapping", 0, 0},
|
|
{"test_ai_onnx_ml_tree_ensemble_set_membership", 0, 0},
|
|
{"test_ai_onnx_ml_tree_ensemble_single_tree", 0, 0},
|
|
{"test_attention_3d", 0, 0},
|
|
{"test_attention_3d_attn_mask", 0, 0},
|
|
{"test_attention_3d_attn_mask_expanded", 0, 0},
|
|
{"test_attention_3d_causal", 0, 0},
|
|
{"test_attention_3d_causal_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_attn_mask", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_attn_mask_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_causal", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_causal_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_scaled", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_scaled_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_softcap", 0, 0},
|
|
{"test_attention_3d_diff_heads_sizes_softcap_expanded", 0, 0},
|
|
{"test_attention_3d_diff_heads_with_past_and_present", 0, 0},
|
|
{"test_attention_3d_diff_heads_with_past_and_present_expanded", 0, 0},
|
|
{"test_attention_3d_expanded", 0, 0},
|
|
{"test_attention_3d_gqa", 0, 0},
|
|
{"test_attention_3d_gqa_attn_mask", 0, 0},
|
|
{"test_attention_3d_gqa_attn_mask_expanded", 0, 0},
|
|
{"test_attention_3d_gqa_causal", 0, 0},
|
|
{"test_attention_3d_gqa_causal_expanded", 0, 0},
|
|
{"test_attention_3d_gqa_expanded", 0, 0},
|
|
{"test_attention_3d_gqa_scaled", 0, 0},
|
|
{"test_attention_3d_gqa_scaled_expanded", 0, 0},
|
|
{"test_attention_3d_gqa_softcap", 0, 0},
|
|
{"test_attention_3d_gqa_softcap_expanded", 0, 0},
|
|
{"test_attention_3d_gqa_with_past_and_present", 0, 0},
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|
|
{"test_rms_normalization_3d_axis2_epsilon", 0, 0},
|
|
{"test_rms_normalization_3d_axis2_epsilon_expanded", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_1_epsilon", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_1_epsilon_expanded", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_2_epsilon", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_2_epsilon_expanded", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_3_epsilon", 0, 0},
|
|
{"test_rms_normalization_3d_axis_negative_3_epsilon_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis0", 0, 0},
|
|
{"test_rms_normalization_4d_axis0_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis1", 0, 0},
|
|
{"test_rms_normalization_4d_axis1_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis2", 0, 0},
|
|
{"test_rms_normalization_4d_axis2_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis3", 0, 0},
|
|
{"test_rms_normalization_4d_axis3_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_1", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_1_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_2", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_2_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_3", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_3_expanded", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_4", 0, 0},
|
|
{"test_rms_normalization_4d_axis_negative_4_expanded", 0, 0},
|
|
{"test_rms_normalization_default_axis", 0, 0},
|
|
{"test_rms_normalization_default_axis_expanded", 0, 0},
|
|
{"test_roialign_mode_max", 3, 1},
|
|
{"test_rotary_embedding", 0, 0},
|
|
{"test_rotary_embedding_3d_input", 0, 0},
|
|
{"test_rotary_embedding_3d_input_expanded", 0, 0},
|
|
{"test_rotary_embedding_expanded", 0, 0},
|
|
{"test_rotary_embedding_interleaved", 0, 0},
|
|
{"test_rotary_embedding_interleaved_expanded", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids_expanded", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids_interleaved", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids_interleaved_expanded", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids_rotary_dim", 0, 0},
|
|
{"test_rotary_embedding_no_position_ids_rotary_dim_expanded", 0, 0},
|
|
{"test_rotary_embedding_with_interleaved_rotary_dim", 0, 0},
|
|
{"test_rotary_embedding_with_interleaved_rotary_dim_expanded", 0, 0},
|
|
{"test_rotary_embedding_with_rotary_dim", 0, 0},
|
|
{"test_rotary_embedding_with_rotary_dim_expanded", 0, 0},
|
|
{"test_sequence_map_add_1_sequence_1_tensor", 0, 0},
|
|
{"test_sequence_map_add_1_sequence_1_tensor_expanded", 0, 0},
|
|
{"test_sequence_map_add_2_sequences", 0, 0},
|
|
{"test_sequence_map_add_2_sequences_expanded", 0, 0},
|
|
{"test_sequence_map_extract_shapes", 0, 0},
|
|
{"test_sequence_map_extract_shapes_expanded", 0, 0},
|
|
{"test_sequence_map_identity_1_sequence", 0, 0},
|
|
{"test_sequence_map_identity_1_sequence_1_tensor", 0, 0},
|
|
{"test_sequence_map_identity_1_sequence_1_tensor_expanded", 0, 0},
|
|
{"test_sequence_map_identity_1_sequence_expanded", 0, 0},
|
|
{"test_sequence_map_identity_2_sequences", 0, 0},
|
|
{"test_sequence_map_identity_2_sequences_expanded", 0, 0},
|
|
{"test_shape_start_greater_than_end", 0, 0},
|
|
{"test_shrink_hard_expanded_ver18", 0, 0},
|
|
{"test_shrink_soft_expanded_ver18", 0, 0},
|
|
{"test_softmax_axis_0_expanded_ver18", 0, 0},
|
|
{"test_softmax_axis_1_expanded_ver18", 0, 0},
|
|
{"test_softmax_axis_2_expanded_ver18", 0, 0},
|
|
{"test_softmax_default_axis_expanded_ver18", 0, 0},
|
|
{"test_softmax_example_expanded_ver18", 0, 0},
|
|
{"test_softmax_large_number_expanded_ver18", 0, 0},
|
|
{"test_softmax_negative_axis_expanded_ver18", 0, 0},
|
|
{"test_softplus_example_expanded_ver18", 0, 0},
|
|
{"test_softplus_expanded_ver18", 0, 0},
|
|
{"test_softsign_example_expanded_ver18", 0, 0},
|
|
{"test_softsign_expanded_ver18", 0, 0},
|
|
{"test_split_1d_uneven_split_opset18", 0, 0},
|
|
{"test_split_2d_uneven_split_opset18", 0, 0},
|
|
{"test_split_equal_parts_1d_opset13", 0, 0},
|
|
{"test_split_equal_parts_1d_opset18", 0, 0},
|
|
{"test_split_equal_parts_2d_opset13", 0, 0},
|
|
{"test_split_equal_parts_default_axis_opset13", 0, 0},
|
|
{"test_split_equal_parts_default_axis_opset18", 0, 0},
|
|
{"test_split_to_sequence_1", 0, 0},
|
|
{"test_split_to_sequence_2", 0, 0},
|
|
{"test_split_to_sequence_nokeepdims", 0, 0},
|
|
{"test_split_variable_parts_1d_opset13", 0, 0},
|
|
{"test_split_variable_parts_1d_opset18", 0, 0},
|
|
{"test_split_variable_parts_2d_opset13", 0, 0},
|
|
{"test_split_variable_parts_2d_opset18", 0, 0},
|
|
{"test_split_variable_parts_default_axis_opset13", 0, 0},
|
|
{"test_split_variable_parts_default_axis_opset18", 0, 0},
|
|
{"test_split_zero_size_splits_opset13", 0, 0},
|
|
{"test_split_zero_size_splits_opset18", 0, 0},
|
|
{"test_stft", 0, 0},
|
|
{"test_stft_with_window", 0, 0},
|
|
{"test_string_concat", 0, 0},
|
|
{"test_string_concat_broadcasting", 0, 0},
|
|
{"test_string_concat_empty_string", 0, 0},
|
|
{"test_string_concat_utf8", 0, 0},
|
|
{"test_string_concat_zero_dimensional", 0, 0},
|
|
{"test_string_split_basic", 0, 0},
|
|
{"test_string_split_consecutive_delimiters", 0, 0},
|
|
{"test_string_split_empty_string_delimiter", 0, 0},
|
|
{"test_string_split_empty_tensor", 0, 0},
|
|
{"test_string_split_maxsplit", 0, 0},
|
|
{"test_string_split_no_delimiter", 0, 0},
|
|
{"test_sub_int16", 0, 0},
|
|
{"test_sub_int8", 0, 0},
|
|
{"test_sub_uint16", 0, 0},
|
|
{"test_sub_uint32", 0, 0},
|
|
{"test_sub_uint64", 0, 0},
|
|
{"test_swish", 0, 0},
|
|
{"test_swish_expanded", 0, 0},
|
|
{"test_tensorscatter", 0, 0},
|
|
{"test_tensorscatter_3d", 0, 0},
|
|
{"test_tensorscatter_circular", 0, 0},
|
|
{"test_thresholdedrelu_default_expanded_ver18", 0, 0},
|
|
{"test_thresholdedrelu_example_expanded_ver18", 0, 0},
|
|
{"test_thresholdedrelu_expanded_ver18", 0, 0},
|
|
{"test_top_k_same_values", 0, 0},
|
|
{"test_top_k_same_values_2d", 0, 0},
|
|
{"test_top_k_same_values_largest", 0, 0},
|
|
{"test_top_k_uint64", 0, 0},
|
|
{"test_unique_length_1", 0, 0},
|
|
{"test_wrap_pad", 0, 0},
|
|
};
|
|
|
|
|
|
std::ostream& operator<<(std::ostream& os, const TestCase& test_case)
|
|
{
|
|
return os << test_case.name;
|
|
}
|
|
|
|
typedef tuple<TestCase, tuple<Backend, Target> > ONNXConfParams;
|
|
|
|
std::string printOnnxConfParams(const testing::TestParamInfo<ONNXConfParams>& 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<ONNXConfParams>
|
|
{
|
|
public:
|
|
|
|
TestCase test_case;
|
|
Backend backend;
|
|
Target target;
|
|
|
|
double default_l1;
|
|
double default_lInf;
|
|
|
|
static std::set<std::string> parser_deny_list;
|
|
static std::set<std::string> global_deny_list;
|
|
static std::set<std::string> opencl_fp16_deny_list;
|
|
static std::set<std::string> opencl_deny_list;
|
|
static std::set<std::string> classic_deny_list;
|
|
#ifdef HAVE_HALIDE
|
|
static std::set<std::string> halide_deny_list;
|
|
#endif
|
|
#ifdef HAVE_VULKAN
|
|
static std::set<std::string> vulkan_deny_list;
|
|
#endif
|
|
#ifdef HAVE_CUDA
|
|
static std::set<std::string> cuda_deny_list;
|
|
static std::set<std::string> 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<double> timings;
|
|
net.getPerfProfile(timings);
|
|
std::vector<std::string> names = net.getLayerNames();
|
|
CV_CheckEQ(names.size(), timings.size(), "DNN critical error");
|
|
|
|
bool hasFallbacks = false;
|
|
for (int i = 0; i < names.size(); ++i)
|
|
{
|
|
Ptr<dnn::Layer> 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"
|
|
};
|
|
|
|
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"
|
|
};
|
|
|
|
EngineType engine_forced =
|
|
(EngineType)utils::getConfigurationParameterSizeT(
|
|
"OPENCV_FORCE_DNN_ENGINE", ENGINE_AUTO);
|
|
|
|
if (engine_forced == ENGINE_CLASSIC) {
|
|
classic_deny_list = {
|
|
#include "test_onnx_conformance_layer_filter_opencv_classic_denylist.inl.hpp"
|
|
};
|
|
} else {
|
|
classic_deny_list = {};
|
|
}
|
|
|
|
#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<std::string> Test_ONNX_conformance::parser_deny_list;
|
|
std::set<std::string> Test_ONNX_conformance::global_deny_list;
|
|
std::set<std::string> Test_ONNX_conformance::opencl_fp16_deny_list;
|
|
std::set<std::string> Test_ONNX_conformance::opencl_deny_list;
|
|
std::set<std::string> Test_ONNX_conformance::classic_deny_list;
|
|
#ifdef HAVE_HALIDE
|
|
std::set<std::string> Test_ONNX_conformance::halide_deny_list;
|
|
#endif
|
|
#ifdef HAVE_VULKAN
|
|
std::set<std::string> Test_ONNX_conformance::vulkan_deny_list;
|
|
#endif
|
|
#ifdef HAVE_CUDA
|
|
std::set<std::string> Test_ONNX_conformance::cuda_deny_list;
|
|
std::set<std::string> 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 some more if we are in the 'classic engine' mode, where we don't support certain layers.
|
|
if (classic_deny_list.find(name) != classic_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 ((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 (name == "test_roialign_aligned_false" || name == "test_roialign_aligned_true")
|
|
{
|
|
default_l1 = std::max(default_l1, 3e-5);
|
|
}
|
|
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
|
|
}
|
|
}
|
|
if (name == "test_reduce_prod_default_axes_keepdims_random") {
|
|
default_l1 = 0.002; // Expected: (normL1) <= (l1), actual: 0.00195312 vs 1e-05
|
|
default_lInf = 0.002; // Expected: (normInf) <= (lInf), actual: 0.00195312 vs 0.0001
|
|
}
|
|
if (name == "test_reduce_sum_square_default_axes_keepdims_random" ||
|
|
name == "test_reduce_sum_square_default_axes_keepdims_random_expanded") {
|
|
default_l1 = 2e-5; // Expected: (normL1) <= (l1), actual: 1.52588e-05 vs 1e-05
|
|
}
|
|
}
|
|
#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
|
|
}
|
|
}
|
|
if (name == "test_roialign_aligned_false" || name == "test_roialign_aligned_true") {
|
|
default_l1 = 3e-5;
|
|
}
|
|
}
|
|
#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<Mat> inputs;
|
|
std::vector<Mat> ref_outputs;
|
|
|
|
std::string prefix = cv::format("dnn/onnx/conformance/node/%s", test_case.name);
|
|
std::string model_path;
|
|
|
|
Net net;
|
|
try
|
|
{
|
|
model_path = findDataFile(prefix + "/model.onnx");
|
|
|
|
std::string test_data_dir = cv::utils::fs::join(cv::utils::fs::getParent(model_path), "test_data_set_0");
|
|
std::vector<cv::String> inputFiles, outputFiles;
|
|
try
|
|
{
|
|
auto extractIndex = [](const cv::String& path, const cv::String& marker) -> int {
|
|
size_t lastSlashPos = path.find_last_of("/\\");
|
|
const cv::String baseName = lastSlashPos == cv::String::npos ? path : path.substr(lastSlashPos + 1);
|
|
|
|
const size_t markerPos = baseName.find(marker);
|
|
const size_t extPos = baseName.find(".pb", markerPos);
|
|
if (markerPos == cv::String::npos || extPos == cv::String::npos)
|
|
return 0;
|
|
|
|
const cv::String indexStr = baseName.substr(markerPos + marker.size(), extPos - (markerPos + marker.size()));
|
|
try {
|
|
return std::stoi(indexStr.c_str());
|
|
} catch (const std::exception&)
|
|
{
|
|
return 0;
|
|
}
|
|
};
|
|
|
|
cv::glob(cv::utils::fs::join(test_data_dir, "input_*.pb"), inputFiles, false);
|
|
cv::glob(cv::utils::fs::join(test_data_dir, "output_*.pb"), outputFiles, false);
|
|
|
|
auto sortByIndex = [&](std::vector<cv::String>& files, const cv::String& marker) {
|
|
std::sort(files.begin(), files.end(), [&](const cv::String& a, const cv::String& b) {
|
|
return extractIndex(a, marker) < extractIndex(b, marker);
|
|
});
|
|
};
|
|
|
|
sortByIndex(inputFiles, "input_");
|
|
sortByIndex(outputFiles, "output_");
|
|
}
|
|
catch (const cv::Exception& e)
|
|
{
|
|
cout << "OpenCV error while collecting ONNX test data files: " << e.what() << endl;
|
|
applyTestTag(CV_TEST_TAG_DNN_ERROR_PARSER);
|
|
throw;
|
|
}
|
|
catch (const std::exception& e)
|
|
{
|
|
cout << "Error while collecting ONNX test data files: " << e.what() << endl;
|
|
applyTestTag(CV_TEST_TAG_DNN_ERROR_PARSER);
|
|
throw;
|
|
}
|
|
catch (...)
|
|
{
|
|
cout << "Unknown error while collecting ONNX test data files!" << endl;
|
|
applyTestTag(CV_TEST_TAG_DNN_ERROR_PARSER);
|
|
throw;
|
|
}
|
|
for (const auto& inFile : inputFiles)
|
|
{
|
|
Mat input = readTensorFromONNX(std::string(inFile));
|
|
inputs.push_back(input);
|
|
}
|
|
//cout << "Read ONNX reference outputs..." << endl;
|
|
for (const auto& outFile : outputFiles)
|
|
{
|
|
Mat output = readTensorFromONNX(std::string(outFile));
|
|
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<std::string> 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<std::string> layerNames = net.getUnconnectedOutLayersNames();
|
|
std::vector<Mat> outputs;
|
|
try
|
|
{
|
|
//net.setTracingMode(DNN_TRACE_ALL);
|
|
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)
|
|
{
|
|
/*std::cout << "\n-------------------------------------------\nreference tensor:\n";
|
|
pprint(std::cout, ref_outputs[0], 0, 3, 100, '[');
|
|
std::cout << "\n";
|
|
std::cout << "\n-------------------------------------------\nabsdiff:\n";
|
|
Mat temp;
|
|
absdiff(ref_outputs[0], outputs[0], temp);
|
|
pprint(std::cout, temp, 0, 3, 100, '[');
|
|
std::cout << "\n";*/
|
|
// 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
|
|
);
|
|
|
|
}
|