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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d11a3de8376139f69c734fe556f9ca21363379b6f226ec011471d00a9975b9b
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size 10798884178
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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
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version https://git-lfs.github.com/spec/v1
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oid sha256:9d11a3de8376139f69c734fe556f9ca21363379b6f226ec011471d00a9975b9b
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size 10798884178
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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
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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
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seed: 0
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allow_tf32: true
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timeout: null
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resolution: 256
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amp: bf16
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cfg_scale: 1.0
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evaluate_split: test
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eval_dir_name: null
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num_save_images: 64
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save_all_images: false
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save_image_format: jpg
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save_images_at_all_procs: false
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save_latent_samples: false
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latent_samples_dir: null
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evaluate_dataset: sample_class
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sample_class:
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name: SampleClass
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batch_size: 128
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n_worker: 8
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drop_last: false
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seed: 0
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shuffle: false
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num_classes: 1000
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num_samples: 50000
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autoencoder:
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num_settings: 1
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name: dc-ae-f32c32-in-1.0-256px
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scaling_factor: 0.3285
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latent_channels: null
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autoencoder_dtype: fp32
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eval_autoencoder_setting_list: null
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model: fp8coat_dit
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dit:
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name: DiT
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in_channels: 32
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input_size: 8
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cfg_channels: null
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pretrained_path: null
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pretrained_source: dc-ae
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train_scheduler: SiTSampler
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eval_scheduler: ODE_heun2
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num_inference_steps: 30
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flow_shift: 3.0
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reverse_time: false
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use_cads: false
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cads_noise_scale: 0.1
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cads_mixing_factor: 1.0
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cads_tau_min: 0.2
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cads_tau_max: 0.9
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use_guidance_interval: false
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guidance_t_min: 0.2
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guidance_t_max: 0.8
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count_nfe: false
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55 |
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patch_size: 1
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hidden_size: 1152
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depth: 28
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58 |
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num_heads: 16
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59 |
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mlp_ratio: 4.0
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post_norm: false
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61 |
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class_dropout_prob: 0.1
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num_classes: 1000
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learn_sigma: false
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64 |
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unconditional: false
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65 |
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use_checkpoint: true
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66 |
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adaptive_channel: false
|
67 |
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adaptive_channel_share_weights: true
|
68 |
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only_load_backbone: false
|
69 |
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freeze_backbone: false
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70 |
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uvit:
|
71 |
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name: UViT
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72 |
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in_channels: 4
|
73 |
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input_size: 32
|
74 |
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cfg_channels: null
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75 |
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pretrained_path: null
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pretrained_source: dc-ae
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train_scheduler: DPM_Solver
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eval_scheduler: DPM_Solver
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num_inference_steps: 30
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flow_shift: 3.0
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reverse_time: false
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use_cads: false
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cads_noise_scale: 0.1
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cads_mixing_factor: 1.0
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cads_tau_min: 0.2
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cads_tau_max: 0.9
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use_guidance_interval: false
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guidance_t_min: 0.2
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guidance_t_max: 0.8
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count_nfe: false
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91 |
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patch_size: 2
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92 |
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hidden_size: 1152
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depth: 28
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94 |
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num_heads: 16
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95 |
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mlp_ratio: 4.0
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96 |
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mlp_time_embed: false
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97 |
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qkv_bias: false
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98 |
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act_layer: gelu
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99 |
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use_checkpoint: true
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class_dropout_prob: 0.1
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num_classes: 1000
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102 |
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attn_mode: null
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sana_cls:
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name: SanaCls
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in_channels: 4
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106 |
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input_size: 32
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107 |
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cfg_channels: null
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108 |
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pretrained_path: null
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109 |
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pretrained_source: dc-ae
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110 |
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train_scheduler: SanaScheduler
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111 |
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eval_scheduler: SanaScheduler
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112 |
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num_inference_steps: 250
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113 |
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flow_shift: 3.0
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114 |
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reverse_time: false
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use_cads: false
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cads_noise_scale: 0.1
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cads_mixing_factor: 1.0
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cads_tau_min: 0.2
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cads_tau_max: 0.9
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use_guidance_interval: false
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guidance_t_min: 0.2
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guidance_t_max: 0.8
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count_nfe: false
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patch_size: 2
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125 |
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hidden_size: 1152
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depth: 28
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127 |
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num_heads: 16
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128 |
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mlp_ratio: 4.0
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129 |
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post_norm: false
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130 |
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class_dropout_prob: 0.1
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131 |
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num_classes: 1000
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132 |
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unconditional: false
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133 |
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use_checkpoint: true
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134 |
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only_load_backbone: false
|
135 |
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freeze_backbone: false
|
136 |
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learn_sigma: false
|
137 |
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usana_cls:
|
138 |
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name: USanaCls
|
139 |
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in_channels: 4
|
140 |
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input_size: 32
|
141 |
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cfg_channels: null
|
142 |
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pretrained_path: null
|
143 |
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pretrained_source: dc-ae
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144 |
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train_scheduler: DPM_Solver
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145 |
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eval_scheduler: DPM_Solver
|
146 |
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num_inference_steps: 30
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147 |
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flow_shift: 3.0
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148 |
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reverse_time: false
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149 |
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use_cads: false
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150 |
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cads_noise_scale: 0.1
|
151 |
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cads_mixing_factor: 1.0
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152 |
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cads_tau_min: 0.2
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153 |
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cads_tau_max: 0.9
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154 |
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use_guidance_interval: false
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155 |
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guidance_t_min: 0.2
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156 |
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guidance_t_max: 0.8
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157 |
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count_nfe: false
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158 |
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patch_size: 2
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159 |
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hidden_size: 1152
|
160 |
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depth: 28
|
161 |
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num_heads: 16
|
162 |
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mlp_ratio: 4.0
|
163 |
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mlp_time_embed: false
|
164 |
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qkv_bias: false
|
165 |
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act_layer: gelu
|
166 |
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use_checkpoint: true
|
167 |
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class_dropout_prob: 0.1
|
168 |
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num_classes: 1000
|
169 |
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num_training_steps: 1000
|
170 |
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fp8:
|
171 |
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name: FP8DiT
|
172 |
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fp8coat:
|
173 |
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name: FP8COATDiT
|
174 |
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qchoice: linear
|
175 |
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symm: true
|
176 |
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row_blocksize: -1
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177 |
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col_blocksize: -1
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linear_row_blocksize: 1
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linear_col_blocksize: 32
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min_blockunit_row: -1
|
181 |
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min_blockunit_col: -1
|
182 |
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fabit: MXE2M1_plus
|
183 |
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fwbit: MXE2M1_plus
|
184 |
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babit: MXE2M1_plus
|
185 |
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bwbit: MXE2M1_plus
|
186 |
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bobit: MXE2M1_plus
|
187 |
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epsilon: 1.0e-08
|
188 |
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compute_fid: true
|
189 |
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fid:
|
190 |
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save_path: null
|
191 |
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ref_path: assets/data/fid/imagenet_train_256.npz
|
192 |
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precision_recall_ref_path: assets/data/precision_recall/VIRTUAL_imagenet256.npy
|
193 |
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compute_inception_score: true
|
194 |
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inception_score: {}
|
195 |
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compute_cmmd: true
|
196 |
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cmmd:
|
197 |
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save_path: null
|
198 |
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ref_path: assets/data/cmmd/VIRTUAL_imagenet256.npy
|
199 |
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verbose: false
|
200 |
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train_dataset: latent_imagenet
|
201 |
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latent_imagenet:
|
202 |
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name: LatentImageNet
|
203 |
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batch_size: 128
|
204 |
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n_worker: 8
|
205 |
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drop_last: true
|
206 |
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seed: 0
|
207 |
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shuffle: true
|
208 |
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data_dir: assets/data/latent/dc_ae_f32c32_in_1.0_256px/imagenet_256
|
209 |
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latent_mjhq:
|
210 |
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name: LatentMJHQ
|
211 |
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batch_size: 32
|
212 |
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n_worker: 8
|
213 |
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drop_last: true
|
214 |
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seed: 0
|
215 |
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shuffle: true
|
216 |
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data_dir: assets/data/latent/dc_ae_f32c32/mjhq_1024
|
217 |
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latent_ffhq:
|
218 |
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name: LatentFFHQ
|
219 |
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batch_size: 32
|
220 |
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n_worker: 8
|
221 |
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drop_last: true
|
222 |
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seed: 0
|
223 |
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shuffle: true
|
224 |
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data_dir: assets/data/latent/dc_ae_f32c32/ffhq_1024
|
225 |
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latent_mapillary_vistas:
|
226 |
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name: LatentMapillaryVistas
|
227 |
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batch_size: 32
|
228 |
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n_worker: 8
|
229 |
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drop_last: true
|
230 |
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seed: 0
|
231 |
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shuffle: true
|
232 |
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data_dir: assets/data/latent/dc_ae_f32c32/mapillary_vistas_2048
|
233 |
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latent_multiple_channel_imagenet:
|
234 |
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name: LatentMultipleChannelImageNet
|
235 |
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batch_size: 32
|
236 |
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n_worker: 8
|
237 |
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drop_last: true
|
238 |
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seed: 0
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shuffle: true
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dataset_sample_ratio: null
|
241 |
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num_channels_list: null
|
242 |
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data_dirs:
|
243 |
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- assets/data/latent/dc_ae_f32c32/imagenet_512
|
244 |
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resume: true
|
245 |
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resume_path: null
|
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resume_schedule: true
|
247 |
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num_epochs: null
|
248 |
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max_steps: 500000
|
249 |
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clip_grad: null
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num_store_images: 64
|
251 |
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save_checkpoint_steps: 1000
|
252 |
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eval_steps: 20000
|
253 |
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save_eval_checkpoint_steps: 100000
|
254 |
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optimizer:
|
255 |
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name: adamw
|
256 |
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lr: 0.0001
|
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warmup_lr: 0.0
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weight_decay: 0.0
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no_wd_keys: []
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betas:
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- 0.9
|
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- 0.999
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lr_scheduler:
|
264 |
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name: constant
|
265 |
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warmup_steps: 1000
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log: true
|
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wandb_entity: han2024
|
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wandb_project: dc_ae_diffusion
|
269 |
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ema_decay: 0.9999
|
270 |
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ema_warmup_steps: 2000
|
271 |
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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 @@
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|
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
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|
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 @@
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|
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 @@
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|
|
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|
|
|
|
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|
|
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|
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|
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|
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|
|
|
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
|