Upload folder using huggingface_hub
Browse files- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/checkpoint.pt +3 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/checkpoint_.pt +3 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/config.yaml +271 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/eval_results.csv +14 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/log.txt +0 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/model.txt +56 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/slurm.sh +22 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/step_100000.pt +3 -0
- exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/step_200000.pt +3 -0
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/checkpoint.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d11a3de8376139f69c734fe556f9ca21363379b6f226ec011471d00a9975b9b
|
| 3 |
+
size 10798884178
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/checkpoint_.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:9d11a3de8376139f69c734fe556f9ca21363379b6f226ec011471d00a9975b9b
|
| 3 |
+
size 10798884178
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/config.yaml
ADDED
|
@@ -0,0 +1,271 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
run_dir: exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs
|
| 2 |
+
seed: 0
|
| 3 |
+
allow_tf32: true
|
| 4 |
+
timeout: null
|
| 5 |
+
resolution: 256
|
| 6 |
+
amp: bf16
|
| 7 |
+
cfg_scale: 1.0
|
| 8 |
+
evaluate_split: test
|
| 9 |
+
eval_dir_name: null
|
| 10 |
+
num_save_images: 64
|
| 11 |
+
save_all_images: false
|
| 12 |
+
save_image_format: jpg
|
| 13 |
+
save_images_at_all_procs: false
|
| 14 |
+
save_latent_samples: false
|
| 15 |
+
latent_samples_dir: null
|
| 16 |
+
evaluate_dataset: sample_class
|
| 17 |
+
sample_class:
|
| 18 |
+
name: SampleClass
|
| 19 |
+
batch_size: 128
|
| 20 |
+
n_worker: 8
|
| 21 |
+
drop_last: false
|
| 22 |
+
seed: 0
|
| 23 |
+
shuffle: false
|
| 24 |
+
num_classes: 1000
|
| 25 |
+
num_samples: 50000
|
| 26 |
+
autoencoder:
|
| 27 |
+
num_settings: 1
|
| 28 |
+
name: dc-ae-f32c32-in-1.0-256px
|
| 29 |
+
scaling_factor: 0.3285
|
| 30 |
+
latent_channels: null
|
| 31 |
+
autoencoder_dtype: fp32
|
| 32 |
+
eval_autoencoder_setting_list: null
|
| 33 |
+
model: fp8coat_dit
|
| 34 |
+
dit:
|
| 35 |
+
name: DiT
|
| 36 |
+
in_channels: 32
|
| 37 |
+
input_size: 8
|
| 38 |
+
cfg_channels: null
|
| 39 |
+
pretrained_path: null
|
| 40 |
+
pretrained_source: dc-ae
|
| 41 |
+
train_scheduler: SiTSampler
|
| 42 |
+
eval_scheduler: ODE_heun2
|
| 43 |
+
num_inference_steps: 30
|
| 44 |
+
flow_shift: 3.0
|
| 45 |
+
reverse_time: false
|
| 46 |
+
use_cads: false
|
| 47 |
+
cads_noise_scale: 0.1
|
| 48 |
+
cads_mixing_factor: 1.0
|
| 49 |
+
cads_tau_min: 0.2
|
| 50 |
+
cads_tau_max: 0.9
|
| 51 |
+
use_guidance_interval: false
|
| 52 |
+
guidance_t_min: 0.2
|
| 53 |
+
guidance_t_max: 0.8
|
| 54 |
+
count_nfe: false
|
| 55 |
+
patch_size: 1
|
| 56 |
+
hidden_size: 1152
|
| 57 |
+
depth: 28
|
| 58 |
+
num_heads: 16
|
| 59 |
+
mlp_ratio: 4.0
|
| 60 |
+
post_norm: false
|
| 61 |
+
class_dropout_prob: 0.1
|
| 62 |
+
num_classes: 1000
|
| 63 |
+
learn_sigma: false
|
| 64 |
+
unconditional: false
|
| 65 |
+
use_checkpoint: true
|
| 66 |
+
adaptive_channel: false
|
| 67 |
+
adaptive_channel_share_weights: true
|
| 68 |
+
only_load_backbone: false
|
| 69 |
+
freeze_backbone: false
|
| 70 |
+
uvit:
|
| 71 |
+
name: UViT
|
| 72 |
+
in_channels: 4
|
| 73 |
+
input_size: 32
|
| 74 |
+
cfg_channels: null
|
| 75 |
+
pretrained_path: null
|
| 76 |
+
pretrained_source: dc-ae
|
| 77 |
+
train_scheduler: DPM_Solver
|
| 78 |
+
eval_scheduler: DPM_Solver
|
| 79 |
+
num_inference_steps: 30
|
| 80 |
+
flow_shift: 3.0
|
| 81 |
+
reverse_time: false
|
| 82 |
+
use_cads: false
|
| 83 |
+
cads_noise_scale: 0.1
|
| 84 |
+
cads_mixing_factor: 1.0
|
| 85 |
+
cads_tau_min: 0.2
|
| 86 |
+
cads_tau_max: 0.9
|
| 87 |
+
use_guidance_interval: false
|
| 88 |
+
guidance_t_min: 0.2
|
| 89 |
+
guidance_t_max: 0.8
|
| 90 |
+
count_nfe: false
|
| 91 |
+
patch_size: 2
|
| 92 |
+
hidden_size: 1152
|
| 93 |
+
depth: 28
|
| 94 |
+
num_heads: 16
|
| 95 |
+
mlp_ratio: 4.0
|
| 96 |
+
mlp_time_embed: false
|
| 97 |
+
qkv_bias: false
|
| 98 |
+
act_layer: gelu
|
| 99 |
+
use_checkpoint: true
|
| 100 |
+
class_dropout_prob: 0.1
|
| 101 |
+
num_classes: 1000
|
| 102 |
+
attn_mode: null
|
| 103 |
+
sana_cls:
|
| 104 |
+
name: SanaCls
|
| 105 |
+
in_channels: 4
|
| 106 |
+
input_size: 32
|
| 107 |
+
cfg_channels: null
|
| 108 |
+
pretrained_path: null
|
| 109 |
+
pretrained_source: dc-ae
|
| 110 |
+
train_scheduler: SanaScheduler
|
| 111 |
+
eval_scheduler: SanaScheduler
|
| 112 |
+
num_inference_steps: 250
|
| 113 |
+
flow_shift: 3.0
|
| 114 |
+
reverse_time: false
|
| 115 |
+
use_cads: false
|
| 116 |
+
cads_noise_scale: 0.1
|
| 117 |
+
cads_mixing_factor: 1.0
|
| 118 |
+
cads_tau_min: 0.2
|
| 119 |
+
cads_tau_max: 0.9
|
| 120 |
+
use_guidance_interval: false
|
| 121 |
+
guidance_t_min: 0.2
|
| 122 |
+
guidance_t_max: 0.8
|
| 123 |
+
count_nfe: false
|
| 124 |
+
patch_size: 2
|
| 125 |
+
hidden_size: 1152
|
| 126 |
+
depth: 28
|
| 127 |
+
num_heads: 16
|
| 128 |
+
mlp_ratio: 4.0
|
| 129 |
+
post_norm: false
|
| 130 |
+
class_dropout_prob: 0.1
|
| 131 |
+
num_classes: 1000
|
| 132 |
+
unconditional: false
|
| 133 |
+
use_checkpoint: true
|
| 134 |
+
only_load_backbone: false
|
| 135 |
+
freeze_backbone: false
|
| 136 |
+
learn_sigma: false
|
| 137 |
+
usana_cls:
|
| 138 |
+
name: USanaCls
|
| 139 |
+
in_channels: 4
|
| 140 |
+
input_size: 32
|
| 141 |
+
cfg_channels: null
|
| 142 |
+
pretrained_path: null
|
| 143 |
+
pretrained_source: dc-ae
|
| 144 |
+
train_scheduler: DPM_Solver
|
| 145 |
+
eval_scheduler: DPM_Solver
|
| 146 |
+
num_inference_steps: 30
|
| 147 |
+
flow_shift: 3.0
|
| 148 |
+
reverse_time: false
|
| 149 |
+
use_cads: false
|
| 150 |
+
cads_noise_scale: 0.1
|
| 151 |
+
cads_mixing_factor: 1.0
|
| 152 |
+
cads_tau_min: 0.2
|
| 153 |
+
cads_tau_max: 0.9
|
| 154 |
+
use_guidance_interval: false
|
| 155 |
+
guidance_t_min: 0.2
|
| 156 |
+
guidance_t_max: 0.8
|
| 157 |
+
count_nfe: false
|
| 158 |
+
patch_size: 2
|
| 159 |
+
hidden_size: 1152
|
| 160 |
+
depth: 28
|
| 161 |
+
num_heads: 16
|
| 162 |
+
mlp_ratio: 4.0
|
| 163 |
+
mlp_time_embed: false
|
| 164 |
+
qkv_bias: false
|
| 165 |
+
act_layer: gelu
|
| 166 |
+
use_checkpoint: true
|
| 167 |
+
class_dropout_prob: 0.1
|
| 168 |
+
num_classes: 1000
|
| 169 |
+
num_training_steps: 1000
|
| 170 |
+
fp8:
|
| 171 |
+
name: FP8DiT
|
| 172 |
+
fp8coat:
|
| 173 |
+
name: FP8COATDiT
|
| 174 |
+
qchoice: linear
|
| 175 |
+
symm: true
|
| 176 |
+
row_blocksize: -1
|
| 177 |
+
col_blocksize: -1
|
| 178 |
+
linear_row_blocksize: 1
|
| 179 |
+
linear_col_blocksize: 32
|
| 180 |
+
min_blockunit_row: -1
|
| 181 |
+
min_blockunit_col: -1
|
| 182 |
+
fabit: MXE2M1_plus
|
| 183 |
+
fwbit: MXE2M1_plus
|
| 184 |
+
babit: MXE2M1_plus
|
| 185 |
+
bwbit: MXE2M1_plus
|
| 186 |
+
bobit: MXE2M1_plus
|
| 187 |
+
epsilon: 1.0e-08
|
| 188 |
+
compute_fid: true
|
| 189 |
+
fid:
|
| 190 |
+
save_path: null
|
| 191 |
+
ref_path: assets/data/fid/imagenet_train_256.npz
|
| 192 |
+
precision_recall_ref_path: assets/data/precision_recall/VIRTUAL_imagenet256.npy
|
| 193 |
+
compute_inception_score: true
|
| 194 |
+
inception_score: {}
|
| 195 |
+
compute_cmmd: true
|
| 196 |
+
cmmd:
|
| 197 |
+
save_path: null
|
| 198 |
+
ref_path: assets/data/cmmd/VIRTUAL_imagenet256.npy
|
| 199 |
+
verbose: false
|
| 200 |
+
train_dataset: latent_imagenet
|
| 201 |
+
latent_imagenet:
|
| 202 |
+
name: LatentImageNet
|
| 203 |
+
batch_size: 128
|
| 204 |
+
n_worker: 8
|
| 205 |
+
drop_last: true
|
| 206 |
+
seed: 0
|
| 207 |
+
shuffle: true
|
| 208 |
+
data_dir: assets/data/latent/dc_ae_f32c32_in_1.0_256px/imagenet_256
|
| 209 |
+
latent_mjhq:
|
| 210 |
+
name: LatentMJHQ
|
| 211 |
+
batch_size: 32
|
| 212 |
+
n_worker: 8
|
| 213 |
+
drop_last: true
|
| 214 |
+
seed: 0
|
| 215 |
+
shuffle: true
|
| 216 |
+
data_dir: assets/data/latent/dc_ae_f32c32/mjhq_1024
|
| 217 |
+
latent_ffhq:
|
| 218 |
+
name: LatentFFHQ
|
| 219 |
+
batch_size: 32
|
| 220 |
+
n_worker: 8
|
| 221 |
+
drop_last: true
|
| 222 |
+
seed: 0
|
| 223 |
+
shuffle: true
|
| 224 |
+
data_dir: assets/data/latent/dc_ae_f32c32/ffhq_1024
|
| 225 |
+
latent_mapillary_vistas:
|
| 226 |
+
name: LatentMapillaryVistas
|
| 227 |
+
batch_size: 32
|
| 228 |
+
n_worker: 8
|
| 229 |
+
drop_last: true
|
| 230 |
+
seed: 0
|
| 231 |
+
shuffle: true
|
| 232 |
+
data_dir: assets/data/latent/dc_ae_f32c32/mapillary_vistas_2048
|
| 233 |
+
latent_multiple_channel_imagenet:
|
| 234 |
+
name: LatentMultipleChannelImageNet
|
| 235 |
+
batch_size: 32
|
| 236 |
+
n_worker: 8
|
| 237 |
+
drop_last: true
|
| 238 |
+
seed: 0
|
| 239 |
+
shuffle: true
|
| 240 |
+
dataset_sample_ratio: null
|
| 241 |
+
num_channels_list: null
|
| 242 |
+
data_dirs:
|
| 243 |
+
- assets/data/latent/dc_ae_f32c32/imagenet_512
|
| 244 |
+
resume: true
|
| 245 |
+
resume_path: null
|
| 246 |
+
resume_schedule: true
|
| 247 |
+
num_epochs: null
|
| 248 |
+
max_steps: 500000
|
| 249 |
+
clip_grad: null
|
| 250 |
+
num_store_images: 64
|
| 251 |
+
save_checkpoint_steps: 1000
|
| 252 |
+
eval_steps: 20000
|
| 253 |
+
save_eval_checkpoint_steps: 100000
|
| 254 |
+
optimizer:
|
| 255 |
+
name: adamw
|
| 256 |
+
lr: 0.0001
|
| 257 |
+
warmup_lr: 0.0
|
| 258 |
+
weight_decay: 0.0
|
| 259 |
+
no_wd_keys: []
|
| 260 |
+
betas:
|
| 261 |
+
- 0.9
|
| 262 |
+
- 0.999
|
| 263 |
+
lr_scheduler:
|
| 264 |
+
name: constant
|
| 265 |
+
warmup_steps: 1000
|
| 266 |
+
log: true
|
| 267 |
+
wandb_entity: han2024
|
| 268 |
+
wandb_project: dc_ae_diffusion
|
| 269 |
+
ema_decay: 0.9999
|
| 270 |
+
ema_warmup_steps: 2000
|
| 271 |
+
eval_ema: true
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/eval_results.csv
ADDED
|
@@ -0,0 +1,14 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
,fid,precision,recall,inception_score_mean,inception_score_std,cmmd
|
| 2 |
+
step_100000_autoencoder_setting_0_cfg_1.0,22.82251239617085,0.6495599746704102,0.5740000009536743,54.4717929909383,1.3851383102860535,0.573277473449707
|
| 3 |
+
step_120000_autoencoder_setting_0_cfg_1.0,23.09154068529824,0.639739990234375,0.5774999856948853,56.29451314562423,1.3199133010401618,0.6319284439086914
|
| 4 |
+
step_140000_autoencoder_setting_0_cfg_1.0,20.76137721606244,0.6392399668693542,0.5882999897003174,61.48154406857825,1.6071809236386536,0.6085634231567383
|
| 5 |
+
step_160000_autoencoder_setting_0_cfg_1.0,19.763616799984906,0.6626799702644348,0.5631999969482422,66.3743937296074,1.3981266954044251,0.5801916122436523
|
| 6 |
+
step_180000_autoencoder_setting_0_cfg_1.0,18.79058651979068,0.6640200018882751,0.5453000068664551,68.40362149122765,1.412380260108231,0.4642009735107422
|
| 7 |
+
step_200000_autoencoder_setting_0_cfg_1.0,20.954522054968265,0.653499960899353,0.5582000017166138,63.14416956965454,1.0557505979988988,0.5255937576293945
|
| 8 |
+
step_20000_autoencoder_setting_0_cfg_1.0,57.72364422441791,0.4287199974060058,0.5460999608039856,19.90047475034472,0.3800645592686704,1.1063814163208008
|
| 9 |
+
step_220000_autoencoder_setting_0_cfg_1.0,18.47325050523102,0.6658399701118469,0.5615000128746033,69.24973211027222,1.3201464970260688,0.4718303680419922
|
| 10 |
+
step_240000_autoencoder_setting_0_cfg_1.0,21.973751038787213,0.6630799770355225,0.5539000034332275,59.74237377356919,1.562433067266785,0.5408525466918945
|
| 11 |
+
step_260000_autoencoder_setting_0_cfg_1.0,17.706635191026123,0.680079996585846,0.5595999956130981,71.48858761147187,1.564728001100873,0.48232078552246094
|
| 12 |
+
step_40000_autoencoder_setting_0_cfg_1.0,44.55932573190052,0.5211399793624878,0.5742999911308289,26.626259701696387,0.5180268710510688,0.9006261825561523
|
| 13 |
+
step_60000_autoencoder_setting_0_cfg_1.0,36.75938892258444,0.5808199644088745,0.5612999796867371,34.614852400498975,0.9469187747487444,0.8183717727661133
|
| 14 |
+
step_80000_autoencoder_setting_0_cfg_1.0,30.842797217782447,0.608299970626831,0.5734999775886536,42.12004014484396,1.0538750580332945,0.7462501525878906
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/log.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/model.txt
ADDED
|
@@ -0,0 +1,56 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
FP8COATDiT(
|
| 2 |
+
(x_embedder): PatchEmbed(
|
| 3 |
+
(proj): Conv2d(32, 1152, kernel_size=(1, 1), stride=(1, 1))
|
| 4 |
+
(norm): Identity()
|
| 5 |
+
)
|
| 6 |
+
(t_embedder): TimestepEmbedder(
|
| 7 |
+
(mlp): Sequential(
|
| 8 |
+
(0): Linear(in_features=256, out_features=1152, bias=True)
|
| 9 |
+
(1): SiLU()
|
| 10 |
+
(2): Linear(in_features=1152, out_features=1152, bias=True)
|
| 11 |
+
)
|
| 12 |
+
)
|
| 13 |
+
(y_embedder): LabelEmbedder(
|
| 14 |
+
(embedding_table): Embedding(1001, 1152)
|
| 15 |
+
)
|
| 16 |
+
(blocks): ModuleList(
|
| 17 |
+
(0-27): 28 x FP8COATDiTBlock(
|
| 18 |
+
(norm1): LayerNorm((1152,), eps=1e-06, elementwise_affine=False)
|
| 19 |
+
(attn): FP8COATAttention(
|
| 20 |
+
(qkv): QAct_Linear(in_features=1152, out_features=3456, bias=True)
|
| 21 |
+
(q_norm): Identity()
|
| 22 |
+
(k_norm): Identity()
|
| 23 |
+
(attn_drop): Dropout(p=0.0, inplace=False)
|
| 24 |
+
(proj): QAct_Linear(in_features=1152, out_features=1152, bias=True)
|
| 25 |
+
(proj_drop): Dropout(p=0.0, inplace=False)
|
| 26 |
+
(qact_q_quantize): QAct_Quantize()
|
| 27 |
+
(qact_k_quantize): QAct_Quantize()
|
| 28 |
+
)
|
| 29 |
+
(norm2): LayerNorm((1152,), eps=1e-06, elementwise_affine=False)
|
| 30 |
+
(mlp): FP8COATMlp(
|
| 31 |
+
(fc1): QAct_Linear(in_features=1152, out_features=4608, bias=True)
|
| 32 |
+
(act): GELU(approximate='tanh')
|
| 33 |
+
(drop1): Dropout(p=0, inplace=False)
|
| 34 |
+
(norm): Identity()
|
| 35 |
+
(fc2): QAct_Linear(in_features=4608, out_features=1152, bias=True)
|
| 36 |
+
(drop2): Dropout(p=0, inplace=False)
|
| 37 |
+
(qact_quantize_gelu): QAct_Quantize()
|
| 38 |
+
(qact_quantize_norm): QAct_Quantize()
|
| 39 |
+
)
|
| 40 |
+
(adaLN_modulation): Sequential(
|
| 41 |
+
(0): SiLU()
|
| 42 |
+
(1): Linear(in_features=1152, out_features=6912, bias=True)
|
| 43 |
+
)
|
| 44 |
+
(qact_quantize_norm1): QAct_Quantize()
|
| 45 |
+
(qact_quantize_norm2): QAct_Quantize()
|
| 46 |
+
)
|
| 47 |
+
)
|
| 48 |
+
(final_layer): FinalLayer(
|
| 49 |
+
(norm_final): LayerNorm((1152,), eps=1e-06, elementwise_affine=False)
|
| 50 |
+
(linear): Linear(in_features=1152, out_features=32, bias=True)
|
| 51 |
+
(adaLN_modulation): Sequential(
|
| 52 |
+
(0): SiLU()
|
| 53 |
+
(1): Linear(in_features=1152, out_features=2304, bias=True)
|
| 54 |
+
)
|
| 55 |
+
)
|
| 56 |
+
)
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/slurm.sh
ADDED
|
@@ -0,0 +1,22 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
#!/bin/bash
|
| 2 |
+
#SBATCH -A nvr_elm_llm #account
|
| 3 |
+
#SBATCH -p grizzly,polar,polar3,polar4 #partition
|
| 4 |
+
#SBATCH -t 04:00:00 #wall time limit, hr:min:sec
|
| 5 |
+
#SBATCH -N 1 #number of nodes
|
| 6 |
+
#SBATCH -J train_diffusion_dit #job name
|
| 7 |
+
#SBATCH --array=1-40%1
|
| 8 |
+
#SBATCH --output=exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/slurm_out/%A_%a.out
|
| 9 |
+
#SBATCH --gpus-per-node 8
|
| 10 |
+
#SBATCH --exclusive
|
| 11 |
+
|
| 12 |
+
export LOGLEVEL=INFO
|
| 13 |
+
export PATH="/home/hcai/workspace/anaconda3/envs/efficientvit/bin:$PATH"
|
| 14 |
+
|
| 15 |
+
cd /lustre/fs12/portfolios/nvr/users/hcai/workspace/code/fp8-dit
|
| 16 |
+
|
| 17 |
+
read -r -d '' cmd <<EOF
|
| 18 |
+
torchrun --nnodes=1 --nproc_per_node=8 \
|
| 19 |
+
-m efficientvit.diffusioncore.trainer yaml=exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/config.yaml
|
| 20 |
+
EOF
|
| 21 |
+
|
| 22 |
+
srun bash -c "${cmd}"
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/step_100000.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:dd43ba952a645c837ac580c184650a755dbf70ae7f7e8985eed8207667132b89
|
| 3 |
+
size 10798884178
|
exp_hcai/latent_diffusion/imagenet_256/dc_ae_f32c32_in_1.0_256px/dit_xl_1/SiTSampler_ODE_heun2_30/mxfp4_e2m1_plus_cs/step_200000.pt
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:e8c5376cbd89dae41145a00b7a6d007763b8697b3db993d6f07f27e54eba1bb4
|
| 3 |
+
size 10798884178
|