search

grimoire / mmdetection-to-tensorrt

convert mmdetection model to tensorrt, support fp16, int8, batch input, dynamic shape etc.
Apache License 2.0
588 stars 85 forks source link

segfault while yolox engine making on TensorRT 8 #98

Open victor-yudin opened 2 years ago

victor-yudin commented 2 years ago

Describe the bug I try to convert the _yoloxl based model to trt engine, but get the error:

load checkpoint from local path: epoch_60.pth
The model and loaded state dict do not match exactly

unexpected key in source state_dict: ema_backbone_stem_conv_conv_weight, ema_backbone_stem_conv_bn_weight, ema_backbone_stem_conv_bn_bias, ema_backbone_stem_conv_bn_running_mean, ema_backbone_stem_conv_bn_running_var, ema_backbone_stem_conv_bn_num_batches_tracked, ema_backbone_stage1_0_conv_weight, ema_backbone_stage1_0_bn_weight, ema_backbone_stage1_0_bn_bias, ema_backbone_stage1_0_bn_running_mean, ema_backbone_stage1_0_bn_running_var, ema_backbone_stage1_0_bn_num_batches_tracked, ema_backbone_stage1_1_main_conv_conv_weight, ema_backbone_stage1_1_main_conv_bn_weight, ema_backbone_stage1_1_main_conv_bn_bias, ema_backbone_stage1_1_main_conv_bn_running_mean, ema_backbone_stage1_1_main_conv_bn_running_var, ema_backbone_stage1_1_main_conv_bn_num_batches_tracked, ema_backbone_stage1_1_short_conv_conv_weight, ema_backbone_stage1_1_short_conv_bn_weight, ema_backbone_stage1_1_short_conv_bn_bias, ema_backbone_stage1_1_short_conv_bn_running_mean, ema_backbone_stage1_1_short_conv_bn_running_var, ema_backbone_stage1_1_short_conv_bn_num_batches_tracked, ema_backbone_stage1_1_final_conv_conv_weight, ema_backbone_stage1_1_final_conv_bn_weight, ema_backbone_stage1_1_final_conv_bn_bias, ema_backbone_stage1_1_final_conv_bn_running_mean, ema_backbone_stage1_1_final_conv_bn_running_var, ema_backbone_stage1_1_final_conv_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_0_conv1_conv_weight, ema_backbone_stage1_1_blocks_0_conv1_bn_weight, ema_backbone_stage1_1_blocks_0_conv1_bn_bias, ema_backbone_stage1_1_blocks_0_conv1_bn_running_mean, ema_backbone_stage1_1_blocks_0_conv1_bn_running_var, ema_backbone_stage1_1_blocks_0_conv1_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_0_conv2_conv_weight, ema_backbone_stage1_1_blocks_0_conv2_bn_weight, ema_backbone_stage1_1_blocks_0_conv2_bn_bias, ema_backbone_stage1_1_blocks_0_conv2_bn_running_mean, ema_backbone_stage1_1_blocks_0_conv2_bn_running_var, ema_backbone_stage1_1_blocks_0_conv2_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_1_conv1_conv_weight, ema_backbone_stage1_1_blocks_1_conv1_bn_weight, ema_backbone_stage1_1_blocks_1_conv1_bn_bias, ema_backbone_stage1_1_blocks_1_conv1_bn_running_mean, ema_backbone_stage1_1_blocks_1_conv1_bn_running_var, ema_backbone_stage1_1_blocks_1_conv1_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_1_conv2_conv_weight, ema_backbone_stage1_1_blocks_1_conv2_bn_weight, ema_backbone_stage1_1_blocks_1_conv2_bn_bias, ema_backbone_stage1_1_blocks_1_conv2_bn_running_mean, ema_backbone_stage1_1_blocks_1_conv2_bn_running_var, ema_backbone_stage1_1_blocks_1_conv2_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_2_conv1_conv_weight, ema_backbone_stage1_1_blocks_2_conv1_bn_weight, ema_backbone_stage1_1_blocks_2_conv1_bn_bias, ema_backbone_stage1_1_blocks_2_conv1_bn_running_mean, ema_backbone_stage1_1_blocks_2_conv1_bn_running_var, ema_backbone_stage1_1_blocks_2_conv1_bn_num_batches_tracked, ema_backbone_stage1_1_blocks_2_conv2_conv_weight, ema_backbone_stage1_1_blocks_2_conv2_bn_weight, ema_backbone_stage1_1_blocks_2_conv2_bn_bias, ema_backbone_stage1_1_blocks_2_conv2_bn_running_mean, ema_backbone_stage1_1_blocks_2_conv2_bn_running_var, ema_backbone_stage1_1_blocks_2_conv2_bn_num_batches_tracked, ema_backbone_stage2_0_conv_weight, ema_backbone_stage2_0_bn_weight, ema_backbone_stage2_0_bn_bias, ema_backbone_stage2_0_bn_running_mean, ema_backbone_stage2_0_bn_running_var, ema_backbone_stage2_0_bn_num_batches_tracked, ema_backbone_stage2_1_main_conv_conv_weight, ema_backbone_stage2_1_main_conv_bn_weight, ema_backbone_stage2_1_main_conv_bn_bias, ema_backbone_stage2_1_main_conv_bn_running_mean, ema_backbone_stage2_1_main_conv_bn_running_var, ema_backbone_stage2_1_main_conv_bn_num_batches_tracked, ema_backbone_stage2_1_short_conv_conv_weight, ema_backbone_stage2_1_short_conv_bn_weight, ema_backbone_stage2_1_short_conv_bn_bias, ema_backbone_stage2_1_short_conv_bn_running_mean, ema_backbone_stage2_1_short_conv_bn_running_var, ema_backbone_stage2_1_short_conv_bn_num_batches_tracked, ema_backbone_stage2_1_final_conv_conv_weight, ema_backbone_stage2_1_final_conv_bn_weight, ema_backbone_stage2_1_final_conv_bn_bias, ema_backbone_stage2_1_final_conv_bn_running_mean, ema_backbone_stage2_1_final_conv_bn_running_var, ema_backbone_stage2_1_final_conv_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_0_conv1_conv_weight, ema_backbone_stage2_1_blocks_0_conv1_bn_weight, ema_backbone_stage2_1_blocks_0_conv1_bn_bias, ema_backbone_stage2_1_blocks_0_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_0_conv1_bn_running_var, ema_backbone_stage2_1_blocks_0_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_0_conv2_conv_weight, ema_backbone_stage2_1_blocks_0_conv2_bn_weight, ema_backbone_stage2_1_blocks_0_conv2_bn_bias, ema_backbone_stage2_1_blocks_0_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_0_conv2_bn_running_var, ema_backbone_stage2_1_blocks_0_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_1_conv1_conv_weight, ema_backbone_stage2_1_blocks_1_conv1_bn_weight, ema_backbone_stage2_1_blocks_1_conv1_bn_bias, ema_backbone_stage2_1_blocks_1_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_1_conv1_bn_running_var, ema_backbone_stage2_1_blocks_1_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_1_conv2_conv_weight, ema_backbone_stage2_1_blocks_1_conv2_bn_weight, ema_backbone_stage2_1_blocks_1_conv2_bn_bias, ema_backbone_stage2_1_blocks_1_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_1_conv2_bn_running_var, ema_backbone_stage2_1_blocks_1_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_2_conv1_conv_weight, ema_backbone_stage2_1_blocks_2_conv1_bn_weight, ema_backbone_stage2_1_blocks_2_conv1_bn_bias, ema_backbone_stage2_1_blocks_2_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_2_conv1_bn_running_var, ema_backbone_stage2_1_blocks_2_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_2_conv2_conv_weight, ema_backbone_stage2_1_blocks_2_conv2_bn_weight, ema_backbone_stage2_1_blocks_2_conv2_bn_bias, ema_backbone_stage2_1_blocks_2_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_2_conv2_bn_running_var, ema_backbone_stage2_1_blocks_2_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_3_conv1_conv_weight, ema_backbone_stage2_1_blocks_3_conv1_bn_weight, ema_backbone_stage2_1_blocks_3_conv1_bn_bias, ema_backbone_stage2_1_blocks_3_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_3_conv1_bn_running_var, ema_backbone_stage2_1_blocks_3_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_3_conv2_conv_weight, ema_backbone_stage2_1_blocks_3_conv2_bn_weight, ema_backbone_stage2_1_blocks_3_conv2_bn_bias, ema_backbone_stage2_1_blocks_3_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_3_conv2_bn_running_var, ema_backbone_stage2_1_blocks_3_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_4_conv1_conv_weight, ema_backbone_stage2_1_blocks_4_conv1_bn_weight, ema_backbone_stage2_1_blocks_4_conv1_bn_bias, ema_backbone_stage2_1_blocks_4_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_4_conv1_bn_running_var, ema_backbone_stage2_1_blocks_4_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_4_conv2_conv_weight, ema_backbone_stage2_1_blocks_4_conv2_bn_weight, ema_backbone_stage2_1_blocks_4_conv2_bn_bias, ema_backbone_stage2_1_blocks_4_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_4_conv2_bn_running_var, ema_backbone_stage2_1_blocks_4_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_5_conv1_conv_weight, ema_backbone_stage2_1_blocks_5_conv1_bn_weight, ema_backbone_stage2_1_blocks_5_conv1_bn_bias, ema_backbone_stage2_1_blocks_5_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_5_conv1_bn_running_var, ema_backbone_stage2_1_blocks_5_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_5_conv2_conv_weight, ema_backbone_stage2_1_blocks_5_conv2_bn_weight, ema_backbone_stage2_1_blocks_5_conv2_bn_bias, ema_backbone_stage2_1_blocks_5_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_5_conv2_bn_running_var, ema_backbone_stage2_1_blocks_5_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_6_conv1_conv_weight, ema_backbone_stage2_1_blocks_6_conv1_bn_weight, ema_backbone_stage2_1_blocks_6_conv1_bn_bias, ema_backbone_stage2_1_blocks_6_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_6_conv1_bn_running_var, ema_backbone_stage2_1_blocks_6_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_6_conv2_conv_weight, ema_backbone_stage2_1_blocks_6_conv2_bn_weight, ema_backbone_stage2_1_blocks_6_conv2_bn_bias, ema_backbone_stage2_1_blocks_6_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_6_conv2_bn_running_var, ema_backbone_stage2_1_blocks_6_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_7_conv1_conv_weight, ema_backbone_stage2_1_blocks_7_conv1_bn_weight, ema_backbone_stage2_1_blocks_7_conv1_bn_bias, ema_backbone_stage2_1_blocks_7_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_7_conv1_bn_running_var, ema_backbone_stage2_1_blocks_7_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_7_conv2_conv_weight, ema_backbone_stage2_1_blocks_7_conv2_bn_weight, ema_backbone_stage2_1_blocks_7_conv2_bn_bias, ema_backbone_stage2_1_blocks_7_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_7_conv2_bn_running_var, ema_backbone_stage2_1_blocks_7_conv2_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_8_conv1_conv_weight, ema_backbone_stage2_1_blocks_8_conv1_bn_weight, ema_backbone_stage2_1_blocks_8_conv1_bn_bias, ema_backbone_stage2_1_blocks_8_conv1_bn_running_mean, ema_backbone_stage2_1_blocks_8_conv1_bn_running_var, ema_backbone_stage2_1_blocks_8_conv1_bn_num_batches_tracked, ema_backbone_stage2_1_blocks_8_conv2_conv_weight, ema_backbone_stage2_1_blocks_8_conv2_bn_weight, ema_backbone_stage2_1_blocks_8_conv2_bn_bias, ema_backbone_stage2_1_blocks_8_conv2_bn_running_mean, ema_backbone_stage2_1_blocks_8_conv2_bn_running_var, ema_backbone_stage2_1_blocks_8_conv2_bn_num_batches_tracked, ema_backbone_stage3_0_conv_weight, ema_backbone_stage3_0_bn_weight, ema_backbone_stage3_0_bn_bias, ema_backbone_stage3_0_bn_running_mean, ema_backbone_stage3_0_bn_running_var, ema_backbone_stage3_0_bn_num_batches_tracked, ema_backbone_stage3_1_main_conv_conv_weight, ema_backbone_stage3_1_main_conv_bn_weight, ema_backbone_stage3_1_main_conv_bn_bias, ema_backbone_stage3_1_main_conv_bn_running_mean, ema_backbone_stage3_1_main_conv_bn_running_var, ema_backbone_stage3_1_main_conv_bn_num_batches_tracked, ema_backbone_stage3_1_short_conv_conv_weight, ema_backbone_stage3_1_short_conv_bn_weight, ema_backbone_stage3_1_short_conv_bn_bias, ema_backbone_stage3_1_short_conv_bn_running_mean, ema_backbone_stage3_1_short_conv_bn_running_var, ema_backbone_stage3_1_short_conv_bn_num_batches_tracked, ema_backbone_stage3_1_final_conv_conv_weight, ema_backbone_stage3_1_final_conv_bn_weight, ema_backbone_stage3_1_final_conv_bn_bias, ema_backbone_stage3_1_final_conv_bn_running_mean, ema_backbone_stage3_1_final_conv_bn_running_var, ema_backbone_stage3_1_final_conv_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_0_conv1_conv_weight, ema_backbone_stage3_1_blocks_0_conv1_bn_weight, ema_backbone_stage3_1_blocks_0_conv1_bn_bias, ema_backbone_stage3_1_blocks_0_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_0_conv1_bn_running_var, ema_backbone_stage3_1_blocks_0_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_0_conv2_conv_weight, ema_backbone_stage3_1_blocks_0_conv2_bn_weight, ema_backbone_stage3_1_blocks_0_conv2_bn_bias, ema_backbone_stage3_1_blocks_0_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_0_conv2_bn_running_var, ema_backbone_stage3_1_blocks_0_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_1_conv1_conv_weight, ema_backbone_stage3_1_blocks_1_conv1_bn_weight, ema_backbone_stage3_1_blocks_1_conv1_bn_bias, ema_backbone_stage3_1_blocks_1_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_1_conv1_bn_running_var, ema_backbone_stage3_1_blocks_1_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_1_conv2_conv_weight, ema_backbone_stage3_1_blocks_1_conv2_bn_weight, ema_backbone_stage3_1_blocks_1_conv2_bn_bias, ema_backbone_stage3_1_blocks_1_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_1_conv2_bn_running_var, ema_backbone_stage3_1_blocks_1_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_2_conv1_conv_weight, ema_backbone_stage3_1_blocks_2_conv1_bn_weight, ema_backbone_stage3_1_blocks_2_conv1_bn_bias, ema_backbone_stage3_1_blocks_2_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_2_conv1_bn_running_var, ema_backbone_stage3_1_blocks_2_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_2_conv2_conv_weight, ema_backbone_stage3_1_blocks_2_conv2_bn_weight, ema_backbone_stage3_1_blocks_2_conv2_bn_bias, ema_backbone_stage3_1_blocks_2_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_2_conv2_bn_running_var, ema_backbone_stage3_1_blocks_2_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_3_conv1_conv_weight, ema_backbone_stage3_1_blocks_3_conv1_bn_weight, ema_backbone_stage3_1_blocks_3_conv1_bn_bias, ema_backbone_stage3_1_blocks_3_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_3_conv1_bn_running_var, ema_backbone_stage3_1_blocks_3_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_3_conv2_conv_weight, ema_backbone_stage3_1_blocks_3_conv2_bn_weight, ema_backbone_stage3_1_blocks_3_conv2_bn_bias, ema_backbone_stage3_1_blocks_3_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_3_conv2_bn_running_var, ema_backbone_stage3_1_blocks_3_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_4_conv1_conv_weight, ema_backbone_stage3_1_blocks_4_conv1_bn_weight, ema_backbone_stage3_1_blocks_4_conv1_bn_bias, ema_backbone_stage3_1_blocks_4_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_4_conv1_bn_running_var, ema_backbone_stage3_1_blocks_4_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_4_conv2_conv_weight, ema_backbone_stage3_1_blocks_4_conv2_bn_weight, ema_backbone_stage3_1_blocks_4_conv2_bn_bias, ema_backbone_stage3_1_blocks_4_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_4_conv2_bn_running_var, ema_backbone_stage3_1_blocks_4_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_5_conv1_conv_weight, ema_backbone_stage3_1_blocks_5_conv1_bn_weight, ema_backbone_stage3_1_blocks_5_conv1_bn_bias, ema_backbone_stage3_1_blocks_5_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_5_conv1_bn_running_var, ema_backbone_stage3_1_blocks_5_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_5_conv2_conv_weight, ema_backbone_stage3_1_blocks_5_conv2_bn_weight, ema_backbone_stage3_1_blocks_5_conv2_bn_bias, ema_backbone_stage3_1_blocks_5_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_5_conv2_bn_running_var, ema_backbone_stage3_1_blocks_5_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_6_conv1_conv_weight, ema_backbone_stage3_1_blocks_6_conv1_bn_weight, ema_backbone_stage3_1_blocks_6_conv1_bn_bias, ema_backbone_stage3_1_blocks_6_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_6_conv1_bn_running_var, ema_backbone_stage3_1_blocks_6_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_6_conv2_conv_weight, ema_backbone_stage3_1_blocks_6_conv2_bn_weight, ema_backbone_stage3_1_blocks_6_conv2_bn_bias, ema_backbone_stage3_1_blocks_6_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_6_conv2_bn_running_var, ema_backbone_stage3_1_blocks_6_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_7_conv1_conv_weight, ema_backbone_stage3_1_blocks_7_conv1_bn_weight, ema_backbone_stage3_1_blocks_7_conv1_bn_bias, ema_backbone_stage3_1_blocks_7_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_7_conv1_bn_running_var, ema_backbone_stage3_1_blocks_7_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_7_conv2_conv_weight, ema_backbone_stage3_1_blocks_7_conv2_bn_weight, ema_backbone_stage3_1_blocks_7_conv2_bn_bias, ema_backbone_stage3_1_blocks_7_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_7_conv2_bn_running_var, ema_backbone_stage3_1_blocks_7_conv2_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_8_conv1_conv_weight, ema_backbone_stage3_1_blocks_8_conv1_bn_weight, ema_backbone_stage3_1_blocks_8_conv1_bn_bias, ema_backbone_stage3_1_blocks_8_conv1_bn_running_mean, ema_backbone_stage3_1_blocks_8_conv1_bn_running_var, ema_backbone_stage3_1_blocks_8_conv1_bn_num_batches_tracked, ema_backbone_stage3_1_blocks_8_conv2_conv_weight, ema_backbone_stage3_1_blocks_8_conv2_bn_weight, ema_backbone_stage3_1_blocks_8_conv2_bn_bias, ema_backbone_stage3_1_blocks_8_conv2_bn_running_mean, ema_backbone_stage3_1_blocks_8_conv2_bn_running_var, ema_backbone_stage3_1_blocks_8_conv2_bn_num_batches_tracked, ema_backbone_stage4_0_conv_weight, ema_backbone_stage4_0_bn_weight, ema_backbone_stage4_0_bn_bias, ema_backbone_stage4_0_bn_running_mean, ema_backbone_stage4_0_bn_running_var, ema_backbone_stage4_0_bn_num_batches_tracked, ema_backbone_stage4_1_conv1_conv_weight, ema_backbone_stage4_1_conv1_bn_weight, ema_backbone_stage4_1_conv1_bn_bias, ema_backbone_stage4_1_conv1_bn_running_mean, ema_backbone_stage4_1_conv1_bn_running_var, ema_backbone_stage4_1_conv1_bn_num_batches_tracked, ema_backbone_stage4_1_conv2_conv_weight, ema_backbone_stage4_1_conv2_bn_weight, ema_backbone_stage4_1_conv2_bn_bias, ema_backbone_stage4_1_conv2_bn_running_mean, ema_backbone_stage4_1_conv2_bn_running_var, ema_backbone_stage4_1_conv2_bn_num_batches_tracked, ema_backbone_stage4_2_main_conv_conv_weight, ema_backbone_stage4_2_main_conv_bn_weight, ema_backbone_stage4_2_main_conv_bn_bias, ema_backbone_stage4_2_main_conv_bn_running_mean, ema_backbone_stage4_2_main_conv_bn_running_var, ema_backbone_stage4_2_main_conv_bn_num_batches_tracked, ema_backbone_stage4_2_short_conv_conv_weight, ema_backbone_stage4_2_short_conv_bn_weight, ema_backbone_stage4_2_short_conv_bn_bias, ema_backbone_stage4_2_short_conv_bn_running_mean, ema_backbone_stage4_2_short_conv_bn_running_var, ema_backbone_stage4_2_short_conv_bn_num_batches_tracked, ema_backbone_stage4_2_final_conv_conv_weight, ema_backbone_stage4_2_final_conv_bn_weight, ema_backbone_stage4_2_final_conv_bn_bias, ema_backbone_stage4_2_final_conv_bn_running_mean, ema_backbone_stage4_2_final_conv_bn_running_var, ema_backbone_stage4_2_final_conv_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_0_conv1_conv_weight, ema_backbone_stage4_2_blocks_0_conv1_bn_weight, ema_backbone_stage4_2_blocks_0_conv1_bn_bias, ema_backbone_stage4_2_blocks_0_conv1_bn_running_mean, ema_backbone_stage4_2_blocks_0_conv1_bn_running_var, ema_backbone_stage4_2_blocks_0_conv1_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_0_conv2_conv_weight, ema_backbone_stage4_2_blocks_0_conv2_bn_weight, ema_backbone_stage4_2_blocks_0_conv2_bn_bias, ema_backbone_stage4_2_blocks_0_conv2_bn_running_mean, ema_backbone_stage4_2_blocks_0_conv2_bn_running_var, ema_backbone_stage4_2_blocks_0_conv2_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_1_conv1_conv_weight, ema_backbone_stage4_2_blocks_1_conv1_bn_weight, ema_backbone_stage4_2_blocks_1_conv1_bn_bias, ema_backbone_stage4_2_blocks_1_conv1_bn_running_mean, ema_backbone_stage4_2_blocks_1_conv1_bn_running_var, ema_backbone_stage4_2_blocks_1_conv1_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_1_conv2_conv_weight, ema_backbone_stage4_2_blocks_1_conv2_bn_weight, ema_backbone_stage4_2_blocks_1_conv2_bn_bias, ema_backbone_stage4_2_blocks_1_conv2_bn_running_mean, ema_backbone_stage4_2_blocks_1_conv2_bn_running_var, ema_backbone_stage4_2_blocks_1_conv2_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_2_conv1_conv_weight, ema_backbone_stage4_2_blocks_2_conv1_bn_weight, ema_backbone_stage4_2_blocks_2_conv1_bn_bias, ema_backbone_stage4_2_blocks_2_conv1_bn_running_mean, ema_backbone_stage4_2_blocks_2_conv1_bn_running_var, ema_backbone_stage4_2_blocks_2_conv1_bn_num_batches_tracked, ema_backbone_stage4_2_blocks_2_conv2_conv_weight, ema_backbone_stage4_2_blocks_2_conv2_bn_weight, ema_backbone_stage4_2_blocks_2_conv2_bn_bias, ema_backbone_stage4_2_blocks_2_conv2_bn_running_mean, ema_backbone_stage4_2_blocks_2_conv2_bn_running_var, ema_backbone_stage4_2_blocks_2_conv2_bn_num_batches_tracked, ema_neck_reduce_layers_0_conv_weight, ema_neck_reduce_layers_0_bn_weight, ema_neck_reduce_layers_0_bn_bias, ema_neck_reduce_layers_0_bn_running_mean, ema_neck_reduce_layers_0_bn_running_var, ema_neck_reduce_layers_0_bn_num_batches_tracked, ema_neck_reduce_layers_1_conv_weight, ema_neck_reduce_layers_1_bn_weight, ema_neck_reduce_layers_1_bn_bias, ema_neck_reduce_layers_1_bn_running_mean, ema_neck_reduce_layers_1_bn_running_var, ema_neck_reduce_layers_1_bn_num_batches_tracked, ema_neck_top_down_blocks_0_main_conv_conv_weight, ema_neck_top_down_blocks_0_main_conv_bn_weight, ema_neck_top_down_blocks_0_main_conv_bn_bias, ema_neck_top_down_blocks_0_main_conv_bn_running_mean, ema_neck_top_down_blocks_0_main_conv_bn_running_var, ema_neck_top_down_blocks_0_main_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_0_short_conv_conv_weight, ema_neck_top_down_blocks_0_short_conv_bn_weight, ema_neck_top_down_blocks_0_short_conv_bn_bias, ema_neck_top_down_blocks_0_short_conv_bn_running_mean, ema_neck_top_down_blocks_0_short_conv_bn_running_var, ema_neck_top_down_blocks_0_short_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_0_final_conv_conv_weight, ema_neck_top_down_blocks_0_final_conv_bn_weight, ema_neck_top_down_blocks_0_final_conv_bn_bias, ema_neck_top_down_blocks_0_final_conv_bn_running_mean, ema_neck_top_down_blocks_0_final_conv_bn_running_var, ema_neck_top_down_blocks_0_final_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_0_conv1_conv_weight, ema_neck_top_down_blocks_0_blocks_0_conv1_bn_weight, ema_neck_top_down_blocks_0_blocks_0_conv1_bn_bias, ema_neck_top_down_blocks_0_blocks_0_conv1_bn_running_mean, ema_neck_top_down_blocks_0_blocks_0_conv1_bn_running_var, ema_neck_top_down_blocks_0_blocks_0_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_0_conv2_conv_weight, ema_neck_top_down_blocks_0_blocks_0_conv2_bn_weight, ema_neck_top_down_blocks_0_blocks_0_conv2_bn_bias, ema_neck_top_down_blocks_0_blocks_0_conv2_bn_running_mean, ema_neck_top_down_blocks_0_blocks_0_conv2_bn_running_var, ema_neck_top_down_blocks_0_blocks_0_conv2_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_1_conv1_conv_weight, ema_neck_top_down_blocks_0_blocks_1_conv1_bn_weight, ema_neck_top_down_blocks_0_blocks_1_conv1_bn_bias, ema_neck_top_down_blocks_0_blocks_1_conv1_bn_running_mean, ema_neck_top_down_blocks_0_blocks_1_conv1_bn_running_var, ema_neck_top_down_blocks_0_blocks_1_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_1_conv2_conv_weight, ema_neck_top_down_blocks_0_blocks_1_conv2_bn_weight, ema_neck_top_down_blocks_0_blocks_1_conv2_bn_bias, ema_neck_top_down_blocks_0_blocks_1_conv2_bn_running_mean, ema_neck_top_down_blocks_0_blocks_1_conv2_bn_running_var, ema_neck_top_down_blocks_0_blocks_1_conv2_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_2_conv1_conv_weight, ema_neck_top_down_blocks_0_blocks_2_conv1_bn_weight, ema_neck_top_down_blocks_0_blocks_2_conv1_bn_bias, ema_neck_top_down_blocks_0_blocks_2_conv1_bn_running_mean, ema_neck_top_down_blocks_0_blocks_2_conv1_bn_running_var, ema_neck_top_down_blocks_0_blocks_2_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_0_blocks_2_conv2_conv_weight, ema_neck_top_down_blocks_0_blocks_2_conv2_bn_weight, ema_neck_top_down_blocks_0_blocks_2_conv2_bn_bias, ema_neck_top_down_blocks_0_blocks_2_conv2_bn_running_mean, ema_neck_top_down_blocks_0_blocks_2_conv2_bn_running_var, ema_neck_top_down_blocks_0_blocks_2_conv2_bn_num_batches_tracked, ema_neck_top_down_blocks_1_main_conv_conv_weight, ema_neck_top_down_blocks_1_main_conv_bn_weight, ema_neck_top_down_blocks_1_main_conv_bn_bias, ema_neck_top_down_blocks_1_main_conv_bn_running_mean, ema_neck_top_down_blocks_1_main_conv_bn_running_var, ema_neck_top_down_blocks_1_main_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_1_short_conv_conv_weight, ema_neck_top_down_blocks_1_short_conv_bn_weight, ema_neck_top_down_blocks_1_short_conv_bn_bias, ema_neck_top_down_blocks_1_short_conv_bn_running_mean, ema_neck_top_down_blocks_1_short_conv_bn_running_var, ema_neck_top_down_blocks_1_short_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_1_final_conv_conv_weight, ema_neck_top_down_blocks_1_final_conv_bn_weight, ema_neck_top_down_blocks_1_final_conv_bn_bias, ema_neck_top_down_blocks_1_final_conv_bn_running_mean, ema_neck_top_down_blocks_1_final_conv_bn_running_var, ema_neck_top_down_blocks_1_final_conv_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_0_conv1_conv_weight, ema_neck_top_down_blocks_1_blocks_0_conv1_bn_weight, ema_neck_top_down_blocks_1_blocks_0_conv1_bn_bias, ema_neck_top_down_blocks_1_blocks_0_conv1_bn_running_mean, ema_neck_top_down_blocks_1_blocks_0_conv1_bn_running_var, ema_neck_top_down_blocks_1_blocks_0_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_0_conv2_conv_weight, ema_neck_top_down_blocks_1_blocks_0_conv2_bn_weight, ema_neck_top_down_blocks_1_blocks_0_conv2_bn_bias, ema_neck_top_down_blocks_1_blocks_0_conv2_bn_running_mean, ema_neck_top_down_blocks_1_blocks_0_conv2_bn_running_var, ema_neck_top_down_blocks_1_blocks_0_conv2_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_1_conv1_conv_weight, ema_neck_top_down_blocks_1_blocks_1_conv1_bn_weight, ema_neck_top_down_blocks_1_blocks_1_conv1_bn_bias, ema_neck_top_down_blocks_1_blocks_1_conv1_bn_running_mean, ema_neck_top_down_blocks_1_blocks_1_conv1_bn_running_var, ema_neck_top_down_blocks_1_blocks_1_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_1_conv2_conv_weight, ema_neck_top_down_blocks_1_blocks_1_conv2_bn_weight, ema_neck_top_down_blocks_1_blocks_1_conv2_bn_bias, ema_neck_top_down_blocks_1_blocks_1_conv2_bn_running_mean, ema_neck_top_down_blocks_1_blocks_1_conv2_bn_running_var, ema_neck_top_down_blocks_1_blocks_1_conv2_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_2_conv1_conv_weight, ema_neck_top_down_blocks_1_blocks_2_conv1_bn_weight, ema_neck_top_down_blocks_1_blocks_2_conv1_bn_bias, ema_neck_top_down_blocks_1_blocks_2_conv1_bn_running_mean, ema_neck_top_down_blocks_1_blocks_2_conv1_bn_running_var, ema_neck_top_down_blocks_1_blocks_2_conv1_bn_num_batches_tracked, ema_neck_top_down_blocks_1_blocks_2_conv2_conv_weight, ema_neck_top_down_blocks_1_blocks_2_conv2_bn_weight, ema_neck_top_down_blocks_1_blocks_2_conv2_bn_bias, ema_neck_top_down_blocks_1_blocks_2_conv2_bn_running_mean, ema_neck_top_down_blocks_1_blocks_2_conv2_bn_running_var, ema_neck_top_down_blocks_1_blocks_2_conv2_bn_num_batches_tracked, ema_neck_downsamples_0_conv_weight, ema_neck_downsamples_0_bn_weight, ema_neck_downsamples_0_bn_bias, ema_neck_downsamples_0_bn_running_mean, ema_neck_downsamples_0_bn_running_var, ema_neck_downsamples_0_bn_num_batches_tracked, ema_neck_downsamples_1_conv_weight, ema_neck_downsamples_1_bn_weight, ema_neck_downsamples_1_bn_bias, ema_neck_downsamples_1_bn_running_mean, ema_neck_downsamples_1_bn_running_var, ema_neck_downsamples_1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_main_conv_conv_weight, ema_neck_bottom_up_blocks_0_main_conv_bn_weight, ema_neck_bottom_up_blocks_0_main_conv_bn_bias, ema_neck_bottom_up_blocks_0_main_conv_bn_running_mean, ema_neck_bottom_up_blocks_0_main_conv_bn_running_var, ema_neck_bottom_up_blocks_0_main_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_short_conv_conv_weight, ema_neck_bottom_up_blocks_0_short_conv_bn_weight, ema_neck_bottom_up_blocks_0_short_conv_bn_bias, ema_neck_bottom_up_blocks_0_short_conv_bn_running_mean, ema_neck_bottom_up_blocks_0_short_conv_bn_running_var, ema_neck_bottom_up_blocks_0_short_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_final_conv_conv_weight, ema_neck_bottom_up_blocks_0_final_conv_bn_weight, ema_neck_bottom_up_blocks_0_final_conv_bn_bias, ema_neck_bottom_up_blocks_0_final_conv_bn_running_mean, ema_neck_bottom_up_blocks_0_final_conv_bn_running_var, ema_neck_bottom_up_blocks_0_final_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_0_conv1_conv_weight, ema_neck_bottom_up_blocks_0_blocks_0_conv1_bn_weight, ema_neck_bottom_up_blocks_0_blocks_0_conv1_bn_bias, ema_neck_bottom_up_blocks_0_blocks_0_conv1_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_0_conv1_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_0_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_0_conv2_conv_weight, ema_neck_bottom_up_blocks_0_blocks_0_conv2_bn_weight, ema_neck_bottom_up_blocks_0_blocks_0_conv2_bn_bias, ema_neck_bottom_up_blocks_0_blocks_0_conv2_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_0_conv2_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_0_conv2_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_1_conv1_conv_weight, ema_neck_bottom_up_blocks_0_blocks_1_conv1_bn_weight, ema_neck_bottom_up_blocks_0_blocks_1_conv1_bn_bias, ema_neck_bottom_up_blocks_0_blocks_1_conv1_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_1_conv1_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_1_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_1_conv2_conv_weight, ema_neck_bottom_up_blocks_0_blocks_1_conv2_bn_weight, ema_neck_bottom_up_blocks_0_blocks_1_conv2_bn_bias, ema_neck_bottom_up_blocks_0_blocks_1_conv2_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_1_conv2_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_1_conv2_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_2_conv1_conv_weight, ema_neck_bottom_up_blocks_0_blocks_2_conv1_bn_weight, ema_neck_bottom_up_blocks_0_blocks_2_conv1_bn_bias, ema_neck_bottom_up_blocks_0_blocks_2_conv1_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_2_conv1_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_2_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_0_blocks_2_conv2_conv_weight, ema_neck_bottom_up_blocks_0_blocks_2_conv2_bn_weight, ema_neck_bottom_up_blocks_0_blocks_2_conv2_bn_bias, ema_neck_bottom_up_blocks_0_blocks_2_conv2_bn_running_mean, ema_neck_bottom_up_blocks_0_blocks_2_conv2_bn_running_var, ema_neck_bottom_up_blocks_0_blocks_2_conv2_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_main_conv_conv_weight, ema_neck_bottom_up_blocks_1_main_conv_bn_weight, ema_neck_bottom_up_blocks_1_main_conv_bn_bias, ema_neck_bottom_up_blocks_1_main_conv_bn_running_mean, ema_neck_bottom_up_blocks_1_main_conv_bn_running_var, ema_neck_bottom_up_blocks_1_main_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_short_conv_conv_weight, ema_neck_bottom_up_blocks_1_short_conv_bn_weight, ema_neck_bottom_up_blocks_1_short_conv_bn_bias, ema_neck_bottom_up_blocks_1_short_conv_bn_running_mean, ema_neck_bottom_up_blocks_1_short_conv_bn_running_var, ema_neck_bottom_up_blocks_1_short_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_final_conv_conv_weight, ema_neck_bottom_up_blocks_1_final_conv_bn_weight, ema_neck_bottom_up_blocks_1_final_conv_bn_bias, ema_neck_bottom_up_blocks_1_final_conv_bn_running_mean, ema_neck_bottom_up_blocks_1_final_conv_bn_running_var, ema_neck_bottom_up_blocks_1_final_conv_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_0_conv1_conv_weight, ema_neck_bottom_up_blocks_1_blocks_0_conv1_bn_weight, ema_neck_bottom_up_blocks_1_blocks_0_conv1_bn_bias, ema_neck_bottom_up_blocks_1_blocks_0_conv1_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_0_conv1_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_0_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_0_conv2_conv_weight, ema_neck_bottom_up_blocks_1_blocks_0_conv2_bn_weight, ema_neck_bottom_up_blocks_1_blocks_0_conv2_bn_bias, ema_neck_bottom_up_blocks_1_blocks_0_conv2_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_0_conv2_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_0_conv2_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_1_conv1_conv_weight, ema_neck_bottom_up_blocks_1_blocks_1_conv1_bn_weight, ema_neck_bottom_up_blocks_1_blocks_1_conv1_bn_bias, ema_neck_bottom_up_blocks_1_blocks_1_conv1_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_1_conv1_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_1_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_1_conv2_conv_weight, ema_neck_bottom_up_blocks_1_blocks_1_conv2_bn_weight, ema_neck_bottom_up_blocks_1_blocks_1_conv2_bn_bias, ema_neck_bottom_up_blocks_1_blocks_1_conv2_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_1_conv2_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_1_conv2_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_2_conv1_conv_weight, ema_neck_bottom_up_blocks_1_blocks_2_conv1_bn_weight, ema_neck_bottom_up_blocks_1_blocks_2_conv1_bn_bias, ema_neck_bottom_up_blocks_1_blocks_2_conv1_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_2_conv1_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_2_conv1_bn_num_batches_tracked, ema_neck_bottom_up_blocks_1_blocks_2_conv2_conv_weight, ema_neck_bottom_up_blocks_1_blocks_2_conv2_bn_weight, ema_neck_bottom_up_blocks_1_blocks_2_conv2_bn_bias, ema_neck_bottom_up_blocks_1_blocks_2_conv2_bn_running_mean, ema_neck_bottom_up_blocks_1_blocks_2_conv2_bn_running_var, ema_neck_bottom_up_blocks_1_blocks_2_conv2_bn_num_batches_tracked, ema_neck_out_convs_0_conv_weight, ema_neck_out_convs_0_bn_weight, ema_neck_out_convs_0_bn_bias, ema_neck_out_convs_0_bn_running_mean, ema_neck_out_convs_0_bn_running_var, ema_neck_out_convs_0_bn_num_batches_tracked, ema_neck_out_convs_1_conv_weight, ema_neck_out_convs_1_bn_weight, ema_neck_out_convs_1_bn_bias, ema_neck_out_convs_1_bn_running_mean, ema_neck_out_convs_1_bn_running_var, ema_neck_out_convs_1_bn_num_batches_tracked, ema_neck_out_convs_2_conv_weight, ema_neck_out_convs_2_bn_weight, ema_neck_out_convs_2_bn_bias, ema_neck_out_convs_2_bn_running_mean, ema_neck_out_convs_2_bn_running_var, ema_neck_out_convs_2_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_0_0_conv_weight, ema_bbox_head_multi_level_cls_convs_0_0_bn_weight, ema_bbox_head_multi_level_cls_convs_0_0_bn_bias, ema_bbox_head_multi_level_cls_convs_0_0_bn_running_mean, ema_bbox_head_multi_level_cls_convs_0_0_bn_running_var, ema_bbox_head_multi_level_cls_convs_0_0_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_0_1_conv_weight, ema_bbox_head_multi_level_cls_convs_0_1_bn_weight, ema_bbox_head_multi_level_cls_convs_0_1_bn_bias, ema_bbox_head_multi_level_cls_convs_0_1_bn_running_mean, ema_bbox_head_multi_level_cls_convs_0_1_bn_running_var, ema_bbox_head_multi_level_cls_convs_0_1_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_1_0_conv_weight, ema_bbox_head_multi_level_cls_convs_1_0_bn_weight, ema_bbox_head_multi_level_cls_convs_1_0_bn_bias, ema_bbox_head_multi_level_cls_convs_1_0_bn_running_mean, ema_bbox_head_multi_level_cls_convs_1_0_bn_running_var, ema_bbox_head_multi_level_cls_convs_1_0_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_1_1_conv_weight, ema_bbox_head_multi_level_cls_convs_1_1_bn_weight, ema_bbox_head_multi_level_cls_convs_1_1_bn_bias, ema_bbox_head_multi_level_cls_convs_1_1_bn_running_mean, ema_bbox_head_multi_level_cls_convs_1_1_bn_running_var, ema_bbox_head_multi_level_cls_convs_1_1_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_2_0_conv_weight, ema_bbox_head_multi_level_cls_convs_2_0_bn_weight, ema_bbox_head_multi_level_cls_convs_2_0_bn_bias, ema_bbox_head_multi_level_cls_convs_2_0_bn_running_mean, ema_bbox_head_multi_level_cls_convs_2_0_bn_running_var, ema_bbox_head_multi_level_cls_convs_2_0_bn_num_batches_tracked, ema_bbox_head_multi_level_cls_convs_2_1_conv_weight, ema_bbox_head_multi_level_cls_convs_2_1_bn_weight, ema_bbox_head_multi_level_cls_convs_2_1_bn_bias, ema_bbox_head_multi_level_cls_convs_2_1_bn_running_mean, ema_bbox_head_multi_level_cls_convs_2_1_bn_running_var, ema_bbox_head_multi_level_cls_convs_2_1_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_0_0_conv_weight, ema_bbox_head_multi_level_reg_convs_0_0_bn_weight, ema_bbox_head_multi_level_reg_convs_0_0_bn_bias, ema_bbox_head_multi_level_reg_convs_0_0_bn_running_mean, ema_bbox_head_multi_level_reg_convs_0_0_bn_running_var, ema_bbox_head_multi_level_reg_convs_0_0_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_0_1_conv_weight, ema_bbox_head_multi_level_reg_convs_0_1_bn_weight, ema_bbox_head_multi_level_reg_convs_0_1_bn_bias, ema_bbox_head_multi_level_reg_convs_0_1_bn_running_mean, ema_bbox_head_multi_level_reg_convs_0_1_bn_running_var, ema_bbox_head_multi_level_reg_convs_0_1_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_1_0_conv_weight, ema_bbox_head_multi_level_reg_convs_1_0_bn_weight, ema_bbox_head_multi_level_reg_convs_1_0_bn_bias, ema_bbox_head_multi_level_reg_convs_1_0_bn_running_mean, ema_bbox_head_multi_level_reg_convs_1_0_bn_running_var, ema_bbox_head_multi_level_reg_convs_1_0_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_1_1_conv_weight, ema_bbox_head_multi_level_reg_convs_1_1_bn_weight, ema_bbox_head_multi_level_reg_convs_1_1_bn_bias, ema_bbox_head_multi_level_reg_convs_1_1_bn_running_mean, ema_bbox_head_multi_level_reg_convs_1_1_bn_running_var, ema_bbox_head_multi_level_reg_convs_1_1_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_2_0_conv_weight, ema_bbox_head_multi_level_reg_convs_2_0_bn_weight, ema_bbox_head_multi_level_reg_convs_2_0_bn_bias, ema_bbox_head_multi_level_reg_convs_2_0_bn_running_mean, ema_bbox_head_multi_level_reg_convs_2_0_bn_running_var, ema_bbox_head_multi_level_reg_convs_2_0_bn_num_batches_tracked, ema_bbox_head_multi_level_reg_convs_2_1_conv_weight, ema_bbox_head_multi_level_reg_convs_2_1_bn_weight, ema_bbox_head_multi_level_reg_convs_2_1_bn_bias, ema_bbox_head_multi_level_reg_convs_2_1_bn_running_mean, ema_bbox_head_multi_level_reg_convs_2_1_bn_running_var, ema_bbox_head_multi_level_reg_convs_2_1_bn_num_batches_tracked, ema_bbox_head_multi_level_conv_cls_0_weight, ema_bbox_head_multi_level_conv_cls_0_bias, ema_bbox_head_multi_level_conv_cls_1_weight, ema_bbox_head_multi_level_conv_cls_1_bias, ema_bbox_head_multi_level_conv_cls_2_weight, ema_bbox_head_multi_level_conv_cls_2_bias, ema_bbox_head_multi_level_conv_reg_0_weight, ema_bbox_head_multi_level_conv_reg_0_bias, ema_bbox_head_multi_level_conv_reg_1_weight, ema_bbox_head_multi_level_conv_reg_1_bias, ema_bbox_head_multi_level_conv_reg_2_weight, ema_bbox_head_multi_level_conv_reg_2_bias, ema_bbox_head_multi_level_conv_obj_0_weight, ema_bbox_head_multi_level_conv_obj_0_bias, ema_bbox_head_multi_level_conv_obj_1_weight, ema_bbox_head_multi_level_conv_obj_1_bias, ema_bbox_head_multi_level_conv_obj_2_weight, ema_bbox_head_multi_level_conv_obj_2_bias

INFO:mmdet2trt:Model warmup
INFO:mmdet2trt:Converting model
[12/20/2021-15:16:55] [TRT] [I] [MemUsageChange] Init CUDA: CPU +313, GPU +0, now: CPU 2896, GPU 2337 (MiB)
[12/20/2021-15:16:55] [TRT] [I] [MemUsageSnapshot] Begin constructing builder kernel library: CPU 2896 MiB, GPU 2329 MiB
[12/20/2021-15:16:55] [TRT] [I] [MemUsageSnapshot] End constructing builder kernel library: CPU 3031 MiB, GPU 2371 MiB
Segmentation fault (core dumped)

"Unexpected keys" warning is happend on mmdetection inference too, but detected objects are returned well (bounding boxes coordinates are right).
Also I tried to run command on TensorRT 8.2.1.8 and with cudnn 8.0.4 and on TensorRT 8.0.1.6 with cudnn 8.0.4 . Result the same - segfault error.
GPU memory usage is OK (1-2GB).
fp32 precision is also crashed on Tensorrt 8.

Running on Tensorrt 7.2.2.3, cudnn 8.0.1 works well - engine is created successfully.

To Reproduce

mmdet2trt yolox_l_8x8_300e_barcodes.py epoch_60.pth ./output_engine --fp16=1 --save-engine=1 --trt-log-level=VERBOSE

environment: PyTorch version: 1.8.0+cu111 Is debug build: False CUDA used to build PyTorch: 11.1 OS: Ubuntu 20.04.2 LTS (x86_64) GCC version: (Ubuntu 9.3.0-17ubuntu1~20.04) 9.3.0 Clang version: Could not collect CMake version: version 3.19.1 Libc version: glibc-2.31 Python version: 3.8.10 (default, Sep 28 2021, 16:10:42) [GCC 9.3.0] (64-bit runtime) Python platform: Linux-5.11.0-41-generic-x86_64-with-glibc2.29 Is CUDA available: True CUDA runtime version: 11.1.105 GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2070 Nvidia driver version: 470.86 cuDNN version: Probably one of the following: /usr/lib/x86_64-linux-gnu/libcudnn.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_adv_infer.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_adv_train.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_infer.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_cnn_train.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_ops_infer.so.8.2.1 /usr/lib/x86_64-linux-gnu/libcudnn_ops_train.so.8.2.1 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn.so.8.0.4 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_adv_infer.so.8.0.4 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_cnn_infer.so.8.0.4 /usr/local/cuda-11.1/targets/x86_64-linux/lib/libcudnn_ops_infer.so.8.0.4 Versions of relevant libraries: [pip3] mmcv-full==1.3.18 [pip3] mmdet==2.18.1 [pip3] mmdet2trt==0.5.0 [pip3] tensorrt==8.2.1.8 [pip3] torch==1.8.0+cu111 [pip3] torch2trt-dynamic==0.5.0 [pip3] torchaudio==0.8.0 [pip3] torchvision==0.9.0+cu111 [conda] Could not collect

Additional context Link to model and config: https://drive.google.com/drive/folders/1DuDR3LZJfYkanZe743dYarfQCyr7vZJa?usp=sharing

grimoire commented 2 years ago

Hi Can you reproduce this error on yolox_s? MMDetection did not provide a checkpoint of yolox_l.

victor-yudin commented 2 years ago

Hi Can you reproduce this error on yolox_s? MMDetection did not provide a checkpoint of yolox_l.

Do you mean yolo_l config? It's inherited from yolox_s one, only sizes and ratios are changed

grimoire commented 2 years ago

Sorry for the late reply. It seems that you have not set the opt_shape_param when converting the model. Since the input shape of Yolox is different from other models in MMDetection. Please try to set the opt shape and try it again. Thank you.

By the way, OpenMMLab has released MMDeploy which might have better support about some new models.