Open zzh-ecnu opened 1 year ago
Only the lego_cuda.sh script is executed and a Segmentation Fault is reported. Does anyone encounter such a segmentation fault?
@zzh-ecnu I got the same problem. Have you solved the problem?
Only the lego_cuda.sh script is executed and a Segmentation Fault is reported. Does anyone encounter such a segmentation fault?
"Has it been resolved? I only do not encounter this error when executing chair.sh, but it occurs with others such as hotdog.sh."
(point-nerf) zzh@zzh-pc:~/Projects/NeRF/pointnerf$ bash dev_scripts/w_n360/lego_cuda.sh dev_scripts/w_n360/lego_cuda.sh: line 291: 9526 Segmentation fault python train_ft_nonstop.py --experiment $name --scan $scan --data_root $data_root --dataset_name $dataset_name --model $model --which_render_func $which_render_func --which_blend_func $which_blend_func --out_channels $out_channels --num_pos_freqs $num_pos_freqs --num_viewdir_freqs $num_viewdir_freqs --random_sample $random_sample --random_sample_size $random_sample_size --batch_size $batch_size --maximum_step $maximum_step --plr $plr --lr $lr --lr_policy $lr_policy --lr_decay_iters $lr_decay_iters --lr_decay_exp $lr_decay_exp --gpu_ids $gpu_ids --checkpoints_dir $checkpoints_dir --save_iter_freq $save_iter_freq --niter $niter --niter_decay $niter_decay --n_threads $n_threads --pin_data_in_memory $pin_data_in_memory --train_and_test $train_and_test --test_num $test_num --test_freq $test_freq --test_num_step $test_num_step --test_color_loss_items $test_color_loss_items --print_freq $print_freq --bg_color $bg_color --split $split --which_ray_generation $which_ray_generation --near_plane $near_plane --far_plane $far_plane --dir_norm $dir_norm --which_tonemap_func $which_tonemap_func --load_points $load_points --resume_dir $resume_dir --resume_iter $resume_iter --feature_init_method $feature_init_method --agg_axis_weight $agg_axis_weight --agg_distance_kernel $agg_distance_kernel --radius_limit_scale $radius_limit_scale --depth_limit_scale $depth_limit_scale --vscale $vscale --kernel_size $kernel_size --SR $SR --K $K --P $P --NN $NN --agg_feat_xyz_mode $agg_feat_xyz_mode --agg_alpha_xyz_mode $agg_alpha_xyz_mode --agg_color_xyz_mode $agg_color_xyz_mode --save_point_freq $save_point_freq --raydist_mode_unit $raydist_mode_unit --agg_dist_pers $agg_dist_pers --agg_intrp_order $agg_intrp_order --shading_feature_mlp_layer0 $shading_feature_mlp_layer0 --shading_feature_mlp_layer1 $shading_feature_mlp_layer1 --shading_feature_mlp_layer2 $shading_feature_mlp_layer2 --shading_feature_mlp_layer3 $shading_feature_mlp_layer3 --shading_feature_num $shading_feature_num --dist_xyz_freq $dist_xyz_freq --shpnt_jitter $shpnt_jitter --shading_alpha_mlp_layer $shading_alpha_mlp_layer --shading_color_mlp_layer $shading_color_mlp_layer --which_agg_model $which_agg_model --color_loss_weights $color_loss_weights --num_feat_freqs $num_feat_freqs --dist_xyz_deno $dist_xyz_deno --apply_pnt_mask $apply_pnt_mask --point_features_dim $point_features_dim --color_loss_items $color_loss_items --feedforward $feedforward --trgt_id $trgt_id --depth_vid $depth_vid --ref_vid $ref_vid --manual_depth_view $manual_depth_view --pre_d_est $pre_d_est --depth_occ $depth_occ --manual_std_depth $manual_std_depth --visual_items $visual_items --appr_feature_str0 $appr_feature_str0 --init_view_num $init_view_num --feat_grad $feat_grad --conf_grad $conf_grad --dir_grad $dir_grad --color_grad $color_grad --depth_conf_thresh $depth_conf_thresh --bgmodel $bgmodel --vox_res $vox_res --act_type $act_type --geo_cnsst_num $geo_cnsst_num --point_conf_mode $point_conf_mode --point_dir_mode $point_dir_mode --point_color_mode $point_color_mode --normview $normview --prune_thresh $prune_thresh --prune_iter $prune_iter --full_comb $full_comb --sparse_loss_weight $sparse_loss_weight --default_conf $default_conf --prob_freq $prob_freq --prob_num_step $prob_num_step --prob_thresh $prob_thresh --prob_mul $prob_mul --prob_kernel_size $prob_kernel_size --prob_tiers $prob_tiers --alpha_range $alpha_range --ranges $ranges --vid $vid --vsize $vsize --wcoord_query $wcoord_query --max_o $max_o --zero_one_loss_items $zero_one_loss_items --zero_one_loss_weights $zero_one_loss_weights --prune_max_iter $prune_max_iter --far_thresh $far_thresh --bg_filtering $bg_filtering