Spaces:
Running
on
Zero
Running
on
Zero
File size: 4,555 Bytes
7f51798 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 |
set -x
lpips_lambda=2.0
ssim_lambda=0.
l1_lambda=0. # following gaussian splatting
l2_lambda=1 # ! use_conf_map
NUM_GPUS=1
image_size=512
image_size_encoder=512
num_workers=0 # for debug
patch_size=14
kl_lambda=1.0e-06
perturb_pcd_scale=0
num_frames=8
batch_size=1 # ! actuall BS will double
microbatch=$(( num_frames*batch_size*2 ))
data_dir=./assets/demo-image-for-i23d/for-vae-reconstruction/
DATASET_FLAGS="
--data_dir ${data_dir} \
--eval_data_dir ${data_dir} \
"
# raw inference
conv_lr=0
lr=0
vit_decoder_lr=$lr
encoder_lr=${conv_lr} # scaling version , could be larger when multi-nodes
triplane_decoder_lr=$conv_lr
super_resolution_lr=$conv_lr
# * above the best lr config
LR_FLAGS="--encoder_lr $encoder_lr \
--vit_decoder_lr $vit_decoder_lr \
--triplane_decoder_lr $triplane_decoder_lr \
--super_resolution_lr $super_resolution_lr \
--lr $lr"
TRAIN_FLAGS="--iterations 10001 --anneal_lr False \
--batch_size $batch_size --save_interval 10000 \
--microbatch ${microbatch} \
--image_size_encoder $image_size_encoder \
--dino_version mv-sd-dit-srt-pcd-structured-pc2-nopcd \
--sr_training False \
--cls_token False \
--weight_decay 0.05 \
--image_size $image_size \
--kl_lambda ${kl_lambda} \
--no_dim_up_mlp True \
--uvit_skip_encoder False \
--fg_mse True \
--bg_lamdba 1.0 \
--lpips_delay_iter 100 \
--sr_delay_iter 25000 \
--kl_anneal True \
--symmetry_loss False \
--vae_p 2 \
--plucker_embedding True \
--encoder_in_channels 15 \
--arch_dit_decoder DiT2-B/2 \
--sd_E_ch 64 \
--sd_E_num_res_blocks 1 \
--lrm_decoder False \
"
# --resume_checkpoint ./checkpoint/model_rec1965000.pt \
# logdir=./logs/latent_dir/768-512-perturb${perturb_pcd_scale}
logdir=./logs/latent_dir/pc2-debug
SR_TRAIN_FLAGS_v1_2XC="
--decoder_in_chans 32 \
--out_chans 96 \
--alpha_lambda 1.0 \
--logdir $logdir \
--arch_encoder vits \
--arch_decoder vitb \
--vit_decoder_wd 0.001 \
--encoder_weight_decay 0.001 \
--color_criterion mse \
--decoder_output_dim 3 \
--ae_classname vit.vit_triplane.pcd_structured_latent_space_vae_decoder_cascaded \
"
SR_TRAIN_FLAGS=${SR_TRAIN_FLAGS_v1_2XC}
rm -rf "$logdir"/runs
mkdir -p "$logdir"/
cp "$0" "$logdir"/
# localedef -c -f UTF-8 -i en_US en_US.UTF-8
# export LC_ALL=en_US.UTF-8
export OPENCV_IO_ENABLE_OPENEXR=1
export OMP_NUM_THREADS=12
export TORCH_NCCL_ASYNC_ERROR_HANDLING=1
export TORCH_NCCL_IB_GID_INDEX=3 # https://github.com/huggingface/accelerate/issues/314#issuecomment-1821973930
for wds_split in 0
do
export CUDA_VISIBLE_DEVICES=$(( 0 + $wds_split ))
port=$(( 14000 + $wds_split ))
torchrun --nproc_per_node=$NUM_GPUS \
--nnodes=1 \
--rdzv-endpoint=localhost:${port} \
--rdzv_backend=c10d \
scripts/vit_triplane_train.py \
--trainer_name nv_rec_patch_mvE_gs \
--num_workers ${num_workers} \
${TRAIN_FLAGS} \
${SR_TRAIN_FLAGS} \
${DATASET_FLAGS} \
--lpips_lambda $lpips_lambda \
--overfitting False \
--load_pretrain_encoder False \
--iterations 5000001 \
--save_interval 10000 \
--eval_interval 250000000 \
--decomposed True \
--logdir $logdir \
--decoder_load_pretrained False \
--cfg objverse_tuneray_aug_resolution_64_64_auto \
--patch_size ${patch_size} \
--use_amp False \
--eval_batch_size ${batch_size} \
${LR_FLAGS} \
--l1_lambda ${l1_lambda} \
--l2_lambda ${l2_lambda} \
--ssim_lambda ${ssim_lambda} \
--depth_smoothness_lambda 0 \
--use_conf_map False \
--objv_dataset True \
--depth_lambda 0.5 \
--use_lmdb_compressed False \
--use_lmdb False \
--mv_input True \
--inference True \
--split_chunk_input True \
--four_view_for_latent False \
--append_depth False \
--gs_cam_format True \
--gs_rendering True \
--shuffle_across_cls True \
--z_channels 10 \
--ldm_z_channels 10 \
--return_all_dit_layers False \
--ldm_embed_dim 10 \
--xyz_lambda 0.0 \
--emd_lambda 0.0 \
--cd_lambda 0.0 \
--fps_sampling True \
--subset_fps_sampling False \
--subset_half_fps_sampling False \
--num_frames ${num_frames} \
--frame_0_as_canonical False \
--split_chunk_size $((num_frames + num_frames)) \
--read_normal True \
--in_plane_attention False \
--load_pcd True \
--rand_aug_bg True \
--use_wds False \
--append_xyz True \
--use_chunk True \
--pcd_path /mnt/sfs-common/yslan/Dataset/Obajverse/FPS_PCD/pcd-V=10_4096_polish_fullset/fps-pcd \
--pt_ft_kl False \
--surfel_rendering True \
--plane_n 1 \
--latent_num 768 \
--perturb_pcd_scale ${perturb_pcd_scale} \
--wds_split ${wds_split} \
# --pcd_path /nas/shared/V2V/yslan/logs/nips23/Reconstruction/pcd-V=10_4096_polish/fps-pcd \
done
|