| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| Namespace(data_path='/scratch/eo41/data/saycam/Y_5fps_300s_{000000..000002}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/y_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='y_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=4000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt', gpu=None, world_size=-1, rank=-1, dist_url='env://', dist_backend='nccl', local_rank=-1) | |
| model: | |
| base_learning_rate: 1.0e-05 | |
| params: | |
| ddconfig: | |
| attn_resolutions: | |
| - 32 | |
| ch: 128 | |
| ch_mult: | |
| - 1 | |
| - 1 | |
| - 2 | |
| - 4 | |
| double_z: false | |
| dropout: 0.0 | |
| in_channels: 3 | |
| num_res_blocks: 2 | |
| out_ch: 3 | |
| resolution: 256 | |
| z_channels: 256 | |
| embed_dim: 256 | |
| lossconfig: | |
| params: | |
| codebook_weight: 1.0 | |
| disc_conditional: false | |
| disc_in_channels: 3 | |
| disc_start: 100001 | |
| disc_weight: 0.2 | |
| target: vqloss.VQLPIPSWithDiscriminator | |
| n_embed: 8192 | |
| target: vqmodel.VQModel | |
| Working with z of shape (1, 256, 32, 32) = 262144 dimensions. | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:208: UserWarning: The parameter 'pretrained' is deprecated since 0.13 and may be removed in the future, please use 'weights' instead. | |
| warnings.warn( | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torchvision/models/_utils.py:223: UserWarning: Arguments other than a weight enum or `None` for 'weights' are deprecated since 0.13 and may be removed in the future. The current behavior is equivalent to passing `weights=VGG16_Weights.IMAGENET1K_V1`. You can also use `weights=VGG16_Weights.DEFAULT` to get the most up-to-date weights. | |
| warnings.warn(msg) | |
| loaded pretrained LPIPS loss from taming/modules/autoencoder/lpips/vgg.pth | |
| VQLPIPSWithDiscriminator running with hinge loss. | |
| Number of parameters: 730671360 | |
| Running on 16 GPUs total | |
| => loaded model weights and optimizer state at checkpoint '/scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel.pt' | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| /scratch/eo41/miniconda3/lib/python3.10/site-packages/torch/nn/_reduction.py:42: UserWarning: size_average and reduce args will be deprecated, please use reduction='none' instead. | |
| warnings.warn(warning.format(ret)) | |
| Iteration: 0 | Training loss: 4.905966758728027 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_0.pt | |
| Iteration: 4000 | Training loss: 4.476815513432026 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_4000.pt | |
| Iteration: 8000 | Training loss: 4.2836167613267895 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_8000.pt | |
| Iteration: 12000 | Training loss: 4.162596913158894 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_12000.pt | |
| Iteration: 16000 | Training loss: 4.122706566154957 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_16000.pt | |
| Iteration: 20000 | Training loss: 4.092839049637318 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_20000.pt | |
| Iteration: 24000 | Training loss: 4.0750753880739214 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_24000.pt | |
| Iteration: 28000 | Training loss: 4.081402803361416 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_28000.pt | |
| Iteration: 32000 | Training loss: 4.082153795778751 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_32000.pt | |
| Iteration: 36000 | Training loss: 4.073826059103012 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_36000.pt | |
| Iteration: 40000 | Training loss: 4.061313236832619 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_40000.pt | |
| Iteration: 44000 | Training loss: 4.067675892353058 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_44000.pt | |
| Iteration: 48000 | Training loss: 4.0533216901421545 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_48000.pt | |
| Iteration: 52000 | Training loss: 4.051194758296013 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_52000.pt | |
| Iteration: 56000 | Training loss: 4.056093183994293 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_56000.pt | |
| Iteration: 60000 | Training loss: 4.040914334952832 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_60000.pt | |
| Iteration: 64000 | Training loss: 4.0225038761496545 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_64000.pt | |
| Iteration: 68000 | Training loss: 4.029447127580642 | |
| Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/y_gimel_68000.pt | |
| slurmstepd: error: *** JOB 29968993 ON ga001 CANCELLED AT 2023-02-11T22:23:36 DUE TO TIME LIMIT *** | |
| slurmstepd: error: *** STEP 29968993.0 ON ga001 CANCELLED AT 2023-02-11T22:23:36 DUE TO TIME LIMIT *** | |
| srun: Job step aborted: Waiting up to 32 seconds for job step to finish. | |