# Something seems to have changed in TensorFlow Lite and it doesn't pass any more.
# Probably the implementation of TFLite_Detection_PostProcess is producing results in a different order.
# The model actually detects correctly.
Models.Op/mobiledet_ssdlite_mobiledet_coco_qat_postprocess,Fail

Models.Op/yolox_104,Fail
Models.Op/yolox_114,Fail
Models.Op/yolox_124,Fail
Models.Op/yolox_127,Fail
Models.Op/yolox_130,Fail
Models.Op/yolox_133,Fail
Models.Op/yolox_yolox_nano_full_integer_quant,Fail

Models.Op/efficientdet_efficientdet_tflite_lite0_int8_v1,Fail

Models.Op/inception_inception_v1_224_quant,Fail

Models.Op/movenetlightning_093,Fail
Models.Op/movenetlightning_095,Fail
Models.Op/movenetlightning_098,Fail
Models.Op/movenetlightning_112,Fail
Models.Op/movenetlightning_115,Fail
Models.Op/movenetlightning_118,Fail
Models.Op/movenetlightning_134,Fail
Models.Op/movenetlightning_136,Fail
Models.Op/movenetlightning_139,Fail
Models.Op/movenetlightning_141,Fail
Models.Op/movenetlightning_152,Fail
Models.Op/movenetlightning_155,Fail
Models.Op/movenetlightning_movenet_single_pose_lightning_ptq,Fail

Models.Op/movenetthunder_093,Fail
Models.Op/movenetthunder_095,Fail
Models.Op/movenetthunder_098,Fail
Models.Op/movenetthunder_112,Fail
Models.Op/movenetthunder_115,Fail
Models.Op/movenetthunder_118,Fail
Models.Op/movenetthunder_134,Fail
Models.Op/movenetthunder_136,Fail
Models.Op/movenetthunder_139,Fail
Models.Op/movenetthunder_141,Fail
Models.Op/movenetthunder_152,Fail
Models.Op/movenetthunder_155,Fail
Models.Op/movenetthunder_movenet_single_pose_thunder_ptq,Fail

Models.Op/ssdmobilenetv2_011,Fail
Models.Op/ssdmobilenetv2_052,Fail
Models.Op/ssdmobilenetv2_ssd_mobilenet_v2_coco_quant_postprocess,Fail
