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Running
on
A10G
Running
on
A10G
| model: | |
| base_learning_rate: 4.5e-06 | |
| target: taming.models.vqgan.VQSegmentationModel | |
| params: | |
| embed_dim: 256 | |
| n_embed: 1024 | |
| image_key: "segmentation" | |
| n_labels: 182 | |
| ddconfig: | |
| double_z: false | |
| z_channels: 256 | |
| resolution: 256 | |
| in_channels: 182 | |
| out_ch: 182 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 1 | |
| - 2 | |
| - 2 | |
| - 4 | |
| num_res_blocks: 2 | |
| attn_resolutions: | |
| - 16 | |
| dropout: 0.0 | |
| lossconfig: | |
| target: taming.modules.losses.segmentation.BCELossWithQuant | |
| params: | |
| codebook_weight: 1.0 | |
| data: | |
| target: cutlit.DataModuleFromConfig | |
| params: | |
| batch_size: 12 | |
| train: | |
| target: taming.data.sflckr.Examples # adjust | |
| params: | |
| size: 256 | |
| validation: | |
| target: taming.data.sflckr.Examples # adjust | |
| params: | |
| size: 256 | |