TypeError: forward() got an unexpected keyword argument 'c'

[c1a1o1]

D:\anaconda3\python.exe D:\work\3di2i-translation\3di2i-translation-master\run_train.py D:\anaconda3\lib\site-packages\hydra\core\default_element.py:122: UserWarning: In 'spec/paper256': Usage of deprecated keyword in package header '# @package group'. See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header for more information warnings.warn( D:\anaconda3\lib\site-packages\hydra\core\default_element.py:122: UserWarning: In 'model/stylenerf_afhq': Usage of deprecated keyword in package header '# @package group'. See https://hydra.cc/docs/next/upgrades/1.0_to_1.1/changes_to_package_header for more information warnings.warn( D:/work/3di2i-translation/3di2i-translation-master/output D:/work/3di2i-translation/3di2i-translation-master/output\00019-afhq-paper256-stylenerf_afhq-noaug-resumecustom-freezed9

Training options: rank: 0 gpu: 0 num_gpus: 1 nodes: 1 world_size: 1 dist_url: env:// launcher: spawn partition: null comment: null timeout: 4320 job_dir: '' image_snapshot_ticks: 25 network_snapshot_ticks: 50 metrics:

• fid50k_full random_seed: 2 training_set_kwargs: class_name: training.dataset.ImageFolderDataset path: D:/work/3di2i-translation/3di2i-translation-master/datasets/afhq.zip resolution: 256 use_labels: false max_size: 14630 xflip: false data_loader_kwargs: pin_memory: true num_workers: 1 prefetch_factor: 2 generation_with_image: false G_kwargs: class_name: training.networks.Generator z_dim: 512 w_dim: 512 mapping_kwargs: num_layers: ${spec.map} freeze_nerf_mappingnetwork: false freeze_synthesisblock_mappingnetwork: false synthesis_kwargs: num_fp16_res: ${num_fp16_res} channel_base: 1 channel_max: 1024 conv_clamp: 256 kernel_size: 1 architecture: skip upsample_mode: pixelshuffle z_dim_bg: 32 z_dim: 0 resolution_vol: 32 resolution_start: 256 rgb_out_dim: 64 use_noise: false module_name: training.stylenerf.NeRFSynthesisNetwork no_bbox: true margin: 0 magnitude_ema_beta: -1 freeze_nerf: true freeze_img_nerf: false freeze_synthesisblock: false camera_kwargs: range_v:
  • 1.4157963267948965
  • 1.7257963267948966 range_u:
  • -0.3
  • 0.3 range_radius:
  • 1.0
  • 1.0 depth_range:
  • 0.88
  • 1.12 fov: 12 gaussian_camera: true angular_camera: true depth_transform: null dists_normalized: false ray_align_corner: false bg_start: 0.5 renderer_kwargs: n_bg_samples: 4 n_ray_samples: 14 abs_sigma: false hierarchical: true no_background: false foreground_kwargs: positional_encoding: normal downscale_p_by: 1 use_style: StyleGAN2 predict_rgb: true use_viewdirs: false abs_sigma: false final_sigmoid_activation: false normalized_feat: true background_kwargs: positional_encoding: normal hidden_size: 64 n_blocks: 4 downscale_p_by: 1 skips: [] inverse_sphere: true use_style: StyleGAN2 predict_rgb: true use_viewdirs: false final_sigmoid_activation: false normalized_feat: true upsampler_kwargs: channel_base: ${model.G_kwargs.synthesis_kwargs.channel_base} channel_max: ${model.G_kwargs.synthesis_kwargs.channel_max} no_2d_renderer: false no_residual_img: true block_reses: null shared_rgb_style: false upsample_type: bilinear progressive: true n_reg_samples: 16 reg_full: true step: step1 D_kwargs: class_name: training.stylenerf.Discriminator epilogue_kwargs: mbstd_group_size: ${spec.mbstd} num_fp16_res: 4 channel_base: 0.5 channel_max: 512 conv_clamp: 256 architecture: skip progressive: true lowres_head: 256 upsample_type: bilinear resize_real_early: true block_kwargs: freeze_layers: 9 G_opt_kwargs: class_name: torch.optim.Adam lr: 0.0025 betas:
    • 0
    • 0.99 eps: 1.0e-08 D_opt_kwargs: class_name: torch.optim.Adam lr: 0.0025 betas:
    • 0
    • 0.99 eps: 1.0e-08 loss_kwargs: class_name: training.loss.StyleGAN2Loss r1_gamma: 0.5 pl_batch_shrink: 2 pl_decay: 0.01 pl_weight: 2 style_mixing_prob: 0.9 curriculum:
    • 5000
    • 50000 use_dive_loss: false spec: name: paper256 ref_gpus: 8 kimg: 25000 mb: 64 mbstd: 8 fmaps: 0.5 lrate: 0.0025 lrate_disc: 0.0025 gamma: 0.5 ema: 20 ramp: null map: 8 lrate_adapted: 0.0002 beta1: 0.5 total_kimg: 25000 batch_size: 64 batch_gpu: 8 ema_kimg: 20 ema_rampup: null resume_pkl: D:/work/3di2i-translation/3di2i-translation-master/pretrained/ffhq_256.pkl ada_kimg: 100 num_fp16_res: 4 allow_tf32: false debug: false run_dir: D:/work/3di2i-translation/3di2i-translation-master/output\00019-afhq-paper256-stylenerf_afhq-noaug-resumecustom-freezed9

Output directory: D:/work/3di2i-translation/3di2i-translation-master/output\00019-afhq-paper256-stylenerf_afhq-noaug-resumecustom-freezed9 Training data: D:/work/3di2i-translation/3di2i-translation-master/datasets/afhq.zip Training duration: 25000 kimg Number of images: 14630 Image resolution: 256 Conditional model: False Dataset x-flips: False

Creating output directory... Launching processes... wandb: W&B API key is configured. Use wandb login --relogin to force relogin wandb: wandb version 0.16.4 is available! To upgrade, please run: wandb: $ pip install wandb --upgrade wandb: Tracking run with wandb version 0.13.3 wandb: Run data is saved locally in D:\work\3di2i-translation\3di2i-translation-master\outputs\2024-03-21\18-04-50\wandb\run-20240321_180457-ogrh0eit wandb: Run wandb offline to turn off syncing. wandb: Syncing run hopeful-plant-18 wandb: View project at https://wandb.ai/c1a1p1/StyleNeRF wandb: View run at https://wandb.ai/c1a1p1/StyleNeRF/runs/ogrh0eit Loading training set...

Num images: 14630 Image shape: [3, 256, 256] Label shape: [0]

Constructing networks... Resuming from "D:/work/3di2i-translation/3di2i-translation-master/pretrained/ffhq_256.pkl" Setting up PyTorch plugin "bias_act_plugin"... Done. D:\anaconda3\lib\site-packages\torch\functional.py:504: UserWarning: torch.meshgrid: in an upcoming release, it will be required to pass the indexing argument. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:3484.) return _VF.meshgrid(tensors, **kwargs) # type: ignore[attr-defined] Setting up PyTorch plugin "upfirdn2d_plugin"... Done.

Generator Parameters Buffers Output shape Datatype

---

mapping_nerf.fc0 262656 - [8, 512] float32 mapping_nerf.fc1 262656 - [8, 512] float32 mapping_nerf.fc2 262656 - [8, 512] float32 mapping_nerf.fc3 262656 - [8, 512] float32 mapping_nerf.fc4 262656 - [8, 512] float32 mapping_nerf.fc5 262656 - [8, 512] float32 mapping_nerf.fc6 262656 - [8, 512] float32 mapping_nerf.fc7 262656 - [8, 512] float32 mapping_nerf - 512 [8, 10, 512] float32 mapping.fc0 262656 - [8, 512] float32 mapping.fc1 262656 - [8, 512] float32 mapping.fc2 262656 - [8, 512] float32 mapping.fc3 262656 - [8, 512] float32 mapping.fc4 262656 - [8, 512] float32 mapping.fc5 262656 - [8, 512] float32 mapping.fc6 262656 - [8, 512] float32 mapping.fc7 262656 - [8, 512] float32 mapping - 512 [8, 7, 512] float32 synthesis.fg_nerf.fc_in 38588 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.0 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.1 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.2 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.3 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.4 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.5 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.6 82176 16 [112, 128, 32, 40] float32 synthesis.fg_nerf.sigma_out 65793 - [112, 1, 32, 40] float32 synthesis.fg_nerf.feat_out 73920 - [112, 64, 32, 40] float32 synthesis.fg_nerf.to_rgb 195 16 [112, 3, 32, 40] float32 synthesis.fg_nerf:0 - - [8, 17920, 67] float32 synthesis.fg_nerf:1 - - [8, 17920, 1] float32 synthesis.fg_nerf.fc_in - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.0 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.1 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.2 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.3 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.4 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.5 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.blocks.6 - - [112, 128, 32, 40] float32 synthesis.fg_nerf.sigma_out - - [112, 1, 32, 40] float32 synthesis.fg_nerf.feat_out - - [112, 64, 32, 40] float32 synthesis.fg_nerf.to_rgb - - [112, 3, 32, 40] float32 synthesis.fg_nerf:0 - - [8, 17920, 67] float32 synthesis.fg_nerf:1 - - [8, 17920, 1] float32 synthesis.bg_nerf.fc_in 7232 16 [32, 64, 32, 40] float32 synthesis.bg_nerf.blocks.0 4160 16 [32, 64, 32, 40] float32 synthesis.bg_nerf.blocks.1 4160 16 [32, 64, 32, 40] float32 synthesis.bg_nerf.blocks.2 4160 16 [32, 64, 32, 40] float32 synthesis.bg_nerf.sigma_out 65 - [32, 1, 32, 40] float32 synthesis.bg_nerf.feat_out 4160 - [32, 64, 32, 40] float32 synthesis.bg_nerf.to_rgb 195 16 [32, 3, 32, 40] float32 synthesis.bg_nerf:0 - - [8, 5120, 67] float32 synthesis.bg_nerf:1 - - [8, 5120, 1] float32 synthesis.b64.conv0 395968 48 [8, 512, 64, 64] float32 synthesis.b64.conv1 525312 16 [8, 512, 64, 64] float32 synthesis.b64.torgb 264195 - [8, 3, 64, 64] float32 synthesis.b64:0 - 16 [8, 512, 64, 64] float32 synthesis.b64:1 - - [8, 3, 64, 64] float32 synthesis.b128.conv0 476992 48 [8, 256, 128, 128] float16 synthesis.b128.conv1 197120 16 [8, 256, 128, 128] float16 synthesis.b128.torgb 132099 - [8, 3, 128, 128] float16 synthesis.b128:0 - 16 [8, 256, 128, 128] float16 synthesis.b128:1 - - [8, 3, 128, 128] float32 synthesis.b256.conv0 185248 48 [8, 128, 256, 256] float16 synthesis.b256.conv1 82176 16 [8, 128, 256, 256] float16 synthesis.b256.torgb 66051 - [8, 3, 256, 256] float16 synthesis.b256:0 - 16 [8, 128, 256, 256] float16 synthesis.b256:1 - - [8, 3, 256, 256] float32 synthesis.b64.conv0 - - [8, 512, 64, 128] float32 synthesis.b64.conv1 - - [8, 512, 64, 128] float32 synthesis.b64.torgb - - [8, 3, 64, 128] float32 synthesis.b128.conv0 - - [8, 256, 64, 128] float16 synthesis.b128.conv1 - - [8, 256, 64, 128] float16 synthesis.b128.torgb - - [8, 3, 64, 128] float16 synthesis.b128:0 - - [8, 256, 64, 128] float16 synthesis.b128:1 - - [8, 3, 64, 128] float32 synthesis.b256.conv0 - - [8, 128, 64, 128] float16 synthesis.b256.conv1 - - [8, 128, 64, 128] float16 synthesis.b256.torgb - - [8, 3, 64, 128] float16 synthesis.b256:0 - - [8, 128, 64, 128] float16 synthesis.b256:1 - - [8, 3, 64, 128] float32 synthesis - 1 - -

---

Total 7305517 1489 - -

Error executing job with overrides: [] wandb: Waiting for W&B process to finish... (failed 1). Press Ctrl-C to abort syncing. Traceback (most recent call last): File "D:\work\3di2i-translation\3di2i-translation-master\run_train.py", line 378, in main subprocess_fn(rank=0, args=args) File "D:\work\3di2i-translation\3di2i-translation-master\run_train.py", line 301, in subprocess_fn training_loop.training_loop(args) File "D:\work\3di2i-translation\3di2i-translation-master\training\training_loop.py", line 159, in training_loop misc.print_module_summary(D, [img, c], rank=rank) # todo: keras to torch ？ File "D:\work\3di2i-translation\3di2i-translation-master\torch_utils\misc.py", line 241, in print_module_summary outputs = module(inputs) File "D:\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1538, in _call_impl result = forward_call(args, kwargs) File "D:\work\3di2i-translation\3di2i-translation-master\training\stylenerf.py", line 2278, in forward logits = self.b4(x, img, cmap, c=c.detach()) File "D:\anaconda3\lib\site-packages\torch\nn\modules\module.py", line 1538, in _call_impl result = forward_call(*args, **kwargs) TypeError: forward() got an unexpected keyword argument 'c'

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.

[sen-mao]

Whether labels are added when preparing the dataset ?