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+!!python/object/new:easydict.EasyDict
+state:
+  trainer: our_tokenizer_trainer
+  train_dataset: &id020 !!python/object/new:easydict.EasyDict
+    state:
+      name: video_dataset
+      args: &id001 !!python/object/new:easydict.EasyDict
+        state:
+          root_path: data/metadata
+          split: train
+          frame_num: 16
+          rand_augment: 'no'
+          csv_file: ucf101_train.csv
+          cls_vid_num: -1_-1
+          crop_size: 128
+          scale: 1.0
+          aspect_ratio: 1.0
+          rand_flip: 'yes'
+          use_all_frames: false
+          pre_load: false
+        dictitems:
+          root_path: data/metadata
+          split: train
+          frame_num: 16
+          rand_augment: 'no'
+          csv_file: ucf101_train.csv
+          cls_vid_num: -1_-1
+          crop_size: 128
+          scale: 1.0
+          aspect_ratio: 1.0
+          rand_flip: 'yes'
+          use_all_frames: false
+          pre_load: false
+      loader: &id002 !!python/object/new:easydict.EasyDict
+        state:
+          batch_size: 64
+          num_workers: 32
+        dictitems:
+          batch_size: 64
+          num_workers: 32
+    dictitems:
+      name: video_dataset
+      args: *id001
+      loader: *id002
+  test_dataset: &id021 !!python/object/new:easydict.EasyDict
+    state:
+      name: video_dataset
+      args: &id003 !!python/object/new:easydict.EasyDict
+        state:
+          root_path: data/metadata
+          frame_num: 16
+          cls_vid_num: -1_-1
+          crop_size: 128
+          use_all_frames: false
+          pre_load: false
+        dictitems:
+          root_path: data/metadata
+          frame_num: 16
+          cls_vid_num: -1_-1
+          crop_size: 128
+          use_all_frames: false
+          pre_load: false
+      csv_paths: &id004 !!python/object/new:easydict.EasyDict
+        state:
+          ucf101_val: ucf101_val.csv
+        dictitems:
+          ucf101_val: ucf101_val.csv
+      loader: &id005 !!python/object/new:easydict.EasyDict
+        state:
+          batch_size: 64
+          num_workers: 32
+        dictitems:
+          batch_size: 64
+          num_workers: 32
+    dictitems:
+      name: video_dataset
+      args: *id003
+      csv_paths: *id004
+      loader: *id005
+  model: &id022 !!python/object/new:easydict.EasyDict
+    state:
+      name: dyn_tokenizer
+      args: &id016 !!python/object/new:easydict.EasyDict
+        state:
+          noise_schedule: &id012 !!python/object/new:easydict.EasyDict
+            state:
+              name: min_rf_noise_module
+              args: &id006 !!python/object/new:easydict.EasyDict
+                state:
+                  clean_data_read_key: clean_data
+                  noised_data_write_key: noisy_input
+                  noise_write_key: flow_noise
+                  timesteps_write_key: timesteps
+                  sigmas_write_key: sigmas
+                  ln: false
+                  stratisfied: false
+                  mode_scale: 0.25
+                dictitems:
+                  clean_data_read_key: clean_data
+                  noised_data_write_key: noisy_input
+                  noise_write_key: flow_noise
+                  timesteps_write_key: timesteps
+                  sigmas_write_key: sigmas
+                  ln: false
+                  stratisfied: false
+                  mode_scale: 0.25
+            dictitems:
+              name: min_rf_noise_module
+              args: *id006
+          bottleneck: &id013 !!python/object/new:easydict.EasyDict
+            state:
+              name: bottleneck
+              args: &id009 !!python/object/new:easydict.EasyDict
+                state:
+                  regularizer: &id008 !!python/object/new:easydict.EasyDict
+                    state:
+                      name: vector_quantize
+                      args: &id007 !!python/object/new:easydict.EasyDict
+                        state:
+                          codebook_dim: 16
+                          codebook_size: 8192
+                          ema_update: true
+                          decay: 0.99
+                          kmeans_init: true
+                          kmeans_iters: 10
+                          threshold_ema_dead_code: 0.2
+                          use_cosine_sim: true
+                          commitment_weight: 1.0
+                          diversity_weight: 0.0
+                          smart_re_K: 0
+                          continuous: false
+                          reg:
+                          - 0.1
+                          - 0.3
+                          reset_cluster_size: 0.2
+                          ema_entropy_ratio: 0.8
+                          vq_start_step: 0
+                        dictitems:
+                          codebook_dim: 16
+                          codebook_size: 8192
+                          ema_update: true
+                          decay: 0.99
+                          kmeans_init: true
+                          kmeans_iters: 10
+                          threshold_ema_dead_code: 0.2
+                          use_cosine_sim: true
+                          commitment_weight: 1.0
+                          diversity_weight: 0.0
+                          smart_re_K: 0
+                          continuous: false
+                          reg:
+                          - 0.1
+                          - 0.3
+                          reset_cluster_size: 0.2
+                          ema_entropy_ratio: 0.8
+                          vq_start_step: 0
+                    dictitems:
+                      name: vector_quantize
+                      args: *id007
+                dictitems:
+                  regularizer: *id008
+            dictitems:
+              name: bottleneck
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+            state:
+              name: none
+              use_mix_ss: true
+              mix_ss_max_ratio: 0.5
+              mix_ss_peak_steps_ratio: 0.3
+              n_rounds: 2
+              avg_loss_over_rounds: true
+              no_grad_before_last_round: false
+              no_dropout: false
+              latent_ce_temperature: 1.0
+              args: &id010 !!python/object/new:easydict.EasyDict
+                state:
+                  l2_normalized: true
+                dictitems:
+                  l2_normalized: true
+            dictitems:
+              name: none
+              use_mix_ss: true
+              mix_ss_max_ratio: 0.5
+              mix_ss_peak_steps_ratio: 0.3
+              n_rounds: 2
+              avg_loss_over_rounds: true
+              no_grad_before_last_round: false
+              no_dropout: false
+              latent_ce_temperature: 1.0
+              args: *id010
+          dec_time_embedder: &id015 !!python/object/new:easydict.EasyDict
+            state:
+              name: timestep_embedder
+              args: &id011 !!python/object/new:easydict.EasyDict
+                state:
+                  timesteps_read_key: timesteps
+                  time_embedding_write_key: dec_temb
+                  dim: 1152
+                  frequency_embedding_size: 256
+                  max_timestep: 1000.0
+                dictitems:
+                  timesteps_read_key: timesteps
+                  time_embedding_write_key: dec_temb
+                  dim: 1152
+                  frequency_embedding_size: 256
+                  max_timestep: 1000.0
+            dictitems:
+              name: timestep_embedder
+              args: *id011
+          transformer_name: transformer_encoder_parallel
+          encoder_name: none
+          decoder_name: transformer_AdaLN_decoder_parallel
+          bottleneck_token_num: 1024
+          input_size: 128
+          frame_num: 16
+          temporal_patch_size: 4
+          patch_size: 8
+          decoder_temporal_patch_size: 4
+          decoder_patch_size: 8
+          in_channels: 3
+          encoder_hidden_size: 768
+          decoder_hidden_size: 1152
+          encoder_num_heads: 12
+          decoder_num_heads: 18
+          encoder_depth: 12
+          decoder_depth: 18
+          encoder_block_name: block_timm
+          decoder_block_name: adaLN_block_timm
+          encoder_mask_mode: full
+          decoder_mask_mode: full
+          learned_encoder_patch_pe: false
+          learned_encoder_latent_query_embed: true
+          learned_decoder_latent_pe: false
+          learned_decoder_patch_query_embed: false
+          use_encoder_patch_token_type_embed: false
+          use_encoder_latent_query_token_type_embed: false
+          enable_decoder_query: false
+          learned_decoder_pe: false
+          use_decoder_latent_token_type_embed: false
+          use_decoder_patch_query_token_type_embed: true
+          encoder_query_gaussian_init: true
+          latent_pe_scale_factor: 10000
+          query_init_std: 0.02
+          adaLN_expansion: 2
+          final_layer_init: xavier_uniform
+          enable_vq: true
+          qk_norm: true
+          use_rope: true
+          rope_dim:
+          - 16
+          - 24
+          - 24
+          final_layer_type: adanorm
+        dictitems:
+          noise_schedule: *id012
+          bottleneck: *id013
+          prior_model: *id014
+          dec_time_embedder: *id015
+          transformer_name: transformer_encoder_parallel
+          encoder_name: none
+          decoder_name: transformer_AdaLN_decoder_parallel
+          bottleneck_token_num: 1024
+          input_size: 128
+          frame_num: 16
+          temporal_patch_size: 4
+          patch_size: 8
+          decoder_temporal_patch_size: 4
+          decoder_patch_size: 8
+          in_channels: 3
+          encoder_hidden_size: 768
+          decoder_hidden_size: 1152
+          encoder_num_heads: 12
+          decoder_num_heads: 18
+          encoder_depth: 12
+          decoder_depth: 18
+          encoder_block_name: block_timm
+          decoder_block_name: adaLN_block_timm
+          encoder_mask_mode: full
+          decoder_mask_mode: full
+          learned_encoder_patch_pe: false
+          learned_encoder_latent_query_embed: true
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+          use_encoder_latent_query_token_type_embed: false
+          enable_decoder_query: false
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+          use_decoder_latent_token_type_embed: false
+          use_decoder_patch_query_token_type_embed: true
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+          latent_pe_scale_factor: 10000
+          query_init_std: 0.02
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+          final_layer_init: xavier_uniform
+          enable_vq: true
+          qk_norm: true
+          use_rope: true
+          rope_dim:
+          - 16
+          - 24
+          - 24
+          final_layer_type: adanorm
+    dictitems:
+      name: dyn_tokenizer
+      args: *id016
+  loss: &id023 !!python/object/new:easydict.EasyDict
+    state:
+      name: fm_disc_loss
+      args: &id017 !!python/object/new:easydict.EasyDict
+        state:
+          disc_type: transformer
+          disc_start: 999999
+          disc_self_start: -1
+          perceptual_weight: 0.5
+          perceptual_loss: lpips
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