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Skip failed models on training ci and openvino ci (#13477)
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1 changed files with 26 additions and 2 deletions
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@ -245,6 +245,21 @@ TEST_P(ModelTest, Run) {
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{"softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_mean_weight", "type error", {"opset12"}},
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{"softmax_cross_entropy_mean_weight", "type error", {"opset12"}},
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{"softmax_cross_entropy_mean_no_weight_ignore_index_4d", "type error", {"opset12"}},
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// models from model zoo
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{"BERT-Squad-int8", "failed in training", {"opset12"}},
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{"DenseNet-121-12-int8", "failed in training", {"opset12"}},
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{"EfficientNet-Lite4-int8", "failed in training", {"opset11"}},
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{"EfficientNet-Lite4-qdq", "failed in training", {"opset11"}},
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{"Faster R-CNN R-50-FPN-int8", "failed in training", {"opset12"}},
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{"Inception-1-int8", "failed in training", {"opset12"}},
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{"MobileNet v2-1.0-int8", "failed in traning", {"opset12"}},
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{"MobileNet v2-1.0-qdq", "failed in training", {"opset12"}},
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{"ResNet50-qdq", "failed in training", {"opset12"}},
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{"ResNet50_int8", "failed in training", {"opset12"}},
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{"ShuffleNet-v2-int8", "failed in training", {"opset12"}},
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{"SSD-int8", "failed in training", {"opset12"}},
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{"VGG 16-int8", "failed in training", {"opset12"}},
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{"YOLOv3-12-int8", "failed in training", {"opset12"}},
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#endif
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{"mask_rcnn_keras", "this model currently has an invalid contrib op version set to 10", {}}};
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@ -594,7 +609,7 @@ TEST_P(ModelTest, Run) {
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BrokenTest t = {ToUTF8String(test_case_name), ""};
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auto iter = broken_tests.find(t);
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auto opset_version = model_info->GetNominalOpsetVersion();
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if (iter != broken_tests.end() &&
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if (iter != broken_tests.end() &&
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(opset_version == TestModelInfo::unknown_version || iter->broken_opset_versions_.empty() ||
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iter->broken_opset_versions_.find(opset_version) != iter->broken_opset_versions_.end() )) {
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SkipTest("It's in broken_tests");
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@ -931,7 +946,16 @@ TEST_P(ModelTest, Run) {
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ORT_TSTR("softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_none_no_weight"),
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ORT_TSTR("softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_none_no_weight_expanded"),
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ORT_TSTR("softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_none_no_weight_log_prob"),
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ORT_TSTR("softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_none_no_weight_log_prob_expanded")};
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ORT_TSTR("softmax_cross_entropy_input_shape_is_NCd1d2d3d4d5_none_no_weight_log_prob_expanded"),
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// models from model zoo
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ORT_TSTR("Tiny YOLOv3"),
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ORT_TSTR("BERT-Squad"),
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ORT_TSTR("YOLOv3"),
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ORT_TSTR("Candy"),
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ORT_TSTR("SSD"),
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ORT_TSTR("ResNet101_DUC_HDC-12"),
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ORT_TSTR("YOLOv3-12")
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};
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static const ORTCHAR_T* dml_disabled_tests[] = {ORT_TSTR("mlperf_ssd_resnet34_1200"),
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ORT_TSTR("mlperf_ssd_mobilenet_300"),
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ORT_TSTR("mask_rcnn"),
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