Open Chenfang8299 opened 2 weeks ago
I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[GlobalAveragePool_1024_2conv0] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1024] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1021] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1022] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1023] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1026] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1028] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1029] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1030] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1034] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1037] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[GlobalAveragePool_1038_2conv0] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1038] D RKNN: [18:49:24.350] <<<<<<<< end: rknn::RKNNLayoutMatchPass D RKNN: [18:49:24.350] >>>>>> start: rknn::RKNNAddSecondaryNode D RKNN: [18:49:24.351] <<<<<<<< end: rknn::RKNNAddSecondaryNode D RKNN: [18:49:24.351] >>>>>> start: OpEmit E RKNN: [18:49:24.380] clip_truncate < 0, plz make sure bias_scale > weight_scale * input_scale 已放弃 (核心已转储)
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I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[GlobalAveragePool_1024_2conv0] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1024] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1021] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1022] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1023] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1026] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1028] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1029] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1030] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1034] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1037] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[GlobalAveragePool_1038_2conv0] I RKNN: [18:49:24.350] AppointLayout: t->setNativeLayout(64), tname:[1038] D RKNN: [18:49:24.350] <<<<<<<< end: rknn::RKNNLayoutMatchPass D RKNN: [18:49:24.350] >>>>>> start: rknn::RKNNAddSecondaryNode D RKNN: [18:49:24.351] <<<<<<<< end: rknn::RKNNAddSecondaryNode D RKNN: [18:49:24.351] >>>>>> start: OpEmit E RKNN: [18:49:24.380] clip_truncate < 0, plz make sure bias_scale > weight_scale * input_scale 已放弃 (核心已转储)