Delete logs/gpt_gimel_say_log_3.out

logs/gpt_gimel_say_log_3.out

@@ -1,168 +0,0 @@
-Namespace(data_path='/scratch/eo41/data/saycam/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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/SAY_5fps_300s_{000000..000009}.tar', vqconfig_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.yaml', vqmodel_path='/scratch/eo41/vqgan-gpt/vqgan_pretrained_models/say_32x32_8192.ckpt', num_workers=16, seed=0, save_dir='/scratch/eo41/vqgan-gpt/gpt_pretrained_models', save_prefix='say_gimel', gpt_config='GPT_gimel', vocab_size=8192, block_size=1023, batch_size=6, print_freq=10000, lr=0.0003, optimizer='Adam', resume='/scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_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: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: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: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: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: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: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: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: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: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: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/say_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: 5.078606605529785
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_0.pt
-Iteration: 10000 | Training loss: 4.9276696452379225
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_10000.pt
-Iteration: 20000 | Training loss: 5.072141832995415
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_20000.pt
-Iteration: 30000 | Training loss: 4.912290808415413
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_30000.pt
-Iteration: 40000 | Training loss: 4.900061968159676
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_40000.pt
-Iteration: 50000 | Training loss: 4.893786135959625
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_50000.pt
-Iteration: 60000 | Training loss: 4.895893426060677
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_60000.pt
-Iteration: 70000 | Training loss: 5.258830540013314
-Saving model to: /scratch/eo41/vqgan-gpt/gpt_pretrained_models/say_gimel_70000.pt
-slurmstepd: error: *** STEP 29780055.0 ON ga002 CANCELLED AT 2023-02-06T10:44:58 ***
-slurmstepd: error: *** JOB 29780055 ON ga002 CANCELLED AT 2023-02-06T10:44:58 ***
-srun: Job step aborted: Waiting up to 32 seconds for job step to finish.