arch: ema: null hparams: loss_type: mse restart_unused_codes: true use_padding_idx: false masked_dropout: 0.0 bottleneck_type: rq embed_dim: 256 n_embed: 16384 latent_shape: - 16 - 16 - 256 code_shape: - 16 - 16 - 4 shared_codebook: true decay: 0.99 latent_loss_weight: 0.25 checkpointing: true type: rq-vae code_hier: 1 ddconfig: double_z: false z_channels: 256 resolution: 256 in_channels: 3 out_ch: 3 ch: 128 ch_mult: - 1 - 1 - 2 - 2 - 4 num_res_blocks: 2 attn_resolutions: - 8 dropout: 0.0 dataset: transform: type: null type: imagenet-arxiv transforms: type: imagenet256x256 optimizer: type: adam max_gn: null warmup: mode: fix start_from_zero: true epoch: 0.5 multiplier: 1 buffer_epoch: 0 min_lr: 4.0e-05 init_lr: 4.0e-05 weight_decay: 0.0 betas: - 0.5 - 0.9 grad_accm_steps: 1 experiment: test_freq: 1 amp: false batch_size: 32 epochs: 150 save_ckpt_freq: 5 total_batch_size: 256 gan: disc: optimizer: type: adam max_gn: null warmup: mode: fix start_from_zero: true epoch: 0.5 multiplier: 1 buffer_epoch: 0 min_lr: 4.0e-05 init_lr: 4.0e-05 weight_decay: 0.0 betas: - 0.5 - 0.9 arch: in_channels: 3 num_layers: 2 use_actnorm: false ndf: 64 spectral_norm: false loss: disc_loss: hinge gen_loss: vanilla disc_weight: 0.75 perceptual_weight: 1.0 disc_start: 0 seed: 0 runtime: args: model_config: /cpfs01/user/cl424408/rq-vae-transformer-main/configs/imagenet256/stage1/in256-rqvae-16x16x4-arxiv-withaux.yaml result_path: /cpfs01/user/cl424408/rq-vae-transformer-main/trained_models/rq2048_16x16x4_imagenet_arxiv_withauxloss load_path: '' test_batch_size: 200 test_epoch: -1 postfix: '' seed: 0 world_size: 8 local_rank: 0 node_rank: -1 dist_backend: nccl timeout: 86400 eval: false resume: false rank: 0 extra_config: {} distenv: world_size: 8 world_rank: 0 local_rank: 0 num_gpus: 1 master: true device_name: NVIDIA A100-SXM4-80GB result_path: /cpfs01/user/cl424408/rq-vae-transformer-main/trained_models/rq2048_16x16x4_imagenet_arxiv_withauxloss/in256-rqvae-16x16x4-arxiv-withaux/06082024_053233