Using bfloat16 Automatic Mixed Precision (AMP) GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores 💡 Tip: For seamless cloud logging and experiment tracking, try installing [litlogger](https://pypi.org/project/litlogger/) to enable LitLogger, which logs metrics and artifacts automatically to the Lightning Experiments platform. LOCAL_RANK: 0 - CUDA_VISIBLE_DEVICES: [GPU-ec0c411a-ec4f-2dfd-997e-f5993509c181] /work/gw97/w97000/envs/nenv2/lib/python3.12/site-packages/pytorch_lightning/utilities/model_summary/model_summary.py:242: Precision bf16-mixed is not supported by the model summary. Estimated model size in MB will not be accurate. Using 32 bits instead. | Name | Type | Params | Mode | FLOPs ---------------------------------------------------------------- 0 | score_model | OptimizedModule | 2.6 M | train | 0 ---------------------------------------------------------------- 2.6 M Trainable params 128 Non-trainable params 2.6 M Total params 10.562 Total estimated model params size (MB) 152 Modules in train mode 0 Modules in eval mode 0 Total Flops /work/gw97/w97000/envs/nenv2/lib/python3.12/site-packages/pytorch_lightning/utilities/_pytree.py:21: `isinstance(treespec, LeafSpec)` is deprecated, use `isinstance(treespec, TreeSpec) and treespec.is_leaf()` instead. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. `weights_only` was not set, defaulting to `False`. [rank: 0] Received SIGTERM: 15 Field data loaded to cuda:0 (0.10 GB, shape=(100000, 1, 16, 16)) Using NCSNpp2D (NCSN++ style, periodic BC) Normalization range: [-1.2395, 1.2552] EMA starts at epoch: 0 Output directory: runs/yukawa_L16_g0.1_ncsnpp/ Log-scale checkpoints (54 total): [1, 2, 3, 4, 5] ... [83, 86, 91, 95, 100] Field data loaded to cuda:0 (0.10 GB, shape=(100000, 1, 16, 16))