Delete files stage2_ldm_config.yaml with huggingface_hub
Browse files- stage2_ldm_config.yaml +0 -104
stage2_ldm_config.yaml
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model:
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base_learning_rate: 2.0e-06
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target: ldm.models.diffusion.ddpm.LatentDiffusion
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params:
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linear_start: 0.0015
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linear_end: 0.0195
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num_timesteps_cond: 1
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log_every_t: 200
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timesteps: 1000
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cond_drop: 1.0
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first_stage_key: image
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use_first_stage_cond:
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- dipin
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cond_stage_key:
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- dipin
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- record
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cond_stage_trainable: false
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conditioning_key: concat
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concat_mode: true
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image_size: 64
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channels: 1
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monitor: train/loss_simple_epoch
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monitor_mode: min
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monitor_top_k: 3
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dynamic_size: false
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unet_config:
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target: ldm.modules.diffusionmodules.openaimodel.UNetModel
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params:
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in_channels: 6
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out_channels: 1
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model_channels: 224
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attention_resolutions:
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- 8
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- 4
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- 2
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num_res_blocks: 2
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channel_mult:
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- 1
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- 2
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- 3
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- 4
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num_head_channels: 32
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first_stage_config:
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target: ldm.models.autoencoder.VQModelInterface
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params:
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ckpt_path: ${oc.env:FIRST_STAGE_CKPT,./models/stage1_vqgan.ckpt}
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embed_dim: 1
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n_embed: 32768
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ddconfig:
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double_z: false
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z_channels: 3
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resolution: 256
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in_channels: 1
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out_ch: 1
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ch: 128
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ch_mult:
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- 1
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- 2
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- 4
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num_res_blocks: 2
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attn_resolutions: []
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dropout: 0
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lossconfig:
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target: torch.nn.Identity
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cond_stage_config:
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target: ldm.modules.encoders.C2f_CGuidedBlock.HWD_down4
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params:
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in_c: 1
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channels: 4
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out_c: 4
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wave: haar
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mode: reflect
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data:
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target: main.DataModuleFromConfig
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params:
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batch_size: 24
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num_workers: 1
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wrap: false
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train:
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target: ldm.data.seisimic.Marmousi3_256
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params:
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dt_path: ${oc.env:MARMousi_NPZ,./data/dtA89-1.npz}
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size: 256
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normalize: minmax
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ricks:
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- 25
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- 30
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- 35
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noise_snr:
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- 20
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dipins:
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- 0.006
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- 0.012
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- 0.024
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- 0.036
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ricks_phase:
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- 0
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train_keys:
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- image
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- dipin
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- record
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noise_type: guassian_band
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zhengyan_type: nonlinear
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record_noraml: true
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