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Runtime error
| model: | |
| base_learning_rate: 5.0e-5 # set to target_lr by starting main.py with '--scale_lr False' | |
| target: ldm.models.diffusion.ddpm.LatentDiffusion | |
| params: | |
| linear_start: 0.0015 | |
| linear_end: 0.0155 | |
| num_timesteps_cond: 1 | |
| log_every_t: 200 | |
| timesteps: 1000 | |
| loss_type: l1 | |
| first_stage_key: "image" | |
| cond_stage_key: "image" | |
| image_size: 32 | |
| channels: 4 | |
| cond_stage_trainable: False | |
| concat_mode: False | |
| scale_by_std: True | |
| monitor: 'val/loss_simple_ema' | |
| scheduler_config: # 10000 warmup steps | |
| target: ldm.lr_scheduler.LambdaLinearScheduler | |
| params: | |
| warm_up_steps: [10000] | |
| cycle_lengths: [10000000000000] | |
| f_start: [1.e-6] | |
| f_max: [1.] | |
| f_min: [ 1.] | |
| unet_config: | |
| target: ldm.modules.diffusionmodules.openaimodel.UNetModel | |
| params: | |
| image_size: 32 | |
| in_channels: 4 | |
| out_channels: 4 | |
| model_channels: 192 | |
| attention_resolutions: [ 1, 2, 4, 8 ] # 32, 16, 8, 4 | |
| num_res_blocks: 2 | |
| channel_mult: [ 1,2,2,4,4 ] # 32, 16, 8, 4, 2 | |
| num_heads: 8 | |
| use_scale_shift_norm: True | |
| resblock_updown: True | |
| first_stage_config: | |
| target: ldm.models.autoencoder.AutoencoderKL | |
| params: | |
| embed_dim: 4 | |
| monitor: "val/rec_loss" | |
| ckpt_path: "/export/compvis-nfs/user/ablattma/logs/braket/2021-11-26T11-25-56_lsun_churches-convae-f8-ft_from_oi/checkpoints/step=000180071-fidfrechet_inception_distance=2.335.ckpt" | |
| ddconfig: | |
| double_z: True | |
| z_channels: 4 | |
| resolution: 256 | |
| in_channels: 3 | |
| out_ch: 3 | |
| ch: 128 | |
| ch_mult: [ 1,2,4,4 ] # num_down = len(ch_mult)-1 | |
| num_res_blocks: 2 | |
| attn_resolutions: [ ] | |
| dropout: 0.0 | |
| lossconfig: | |
| target: torch.nn.Identity | |
| cond_stage_config: "__is_unconditional__" | |
| data: | |
| target: main.DataModuleFromConfig | |
| params: | |
| batch_size: 24 # TODO: was 96 in our experiments | |
| num_workers: 5 | |
| wrap: False | |
| train: | |
| target: ldm.data.lsun.LSUNChurchesTrain | |
| params: | |
| size: 256 | |
| validation: | |
| target: ldm.data.lsun.LSUNChurchesValidation | |
| params: | |
| size: 256 | |
| lightning: | |
| callbacks: | |
| image_logger: | |
| target: main.ImageLogger | |
| params: | |
| batch_frequency: 1000 # TODO 5000 | |
| max_images: 8 | |
| increase_log_steps: False | |
| metrics_over_trainsteps_checkpoint: | |
| target: pytorch_lightning.callbacks.ModelCheckpoint | |
| params: | |
| every_n_train_steps: 20000 | |
| trainer: | |
| benchmark: True |