Upload ProDiff/Experiments/trajectory_exp_temporal_split_TKY_temporal_len3_ddpm_20250724-101259/code_snapshot/config.py with huggingface_hub

ProDiff/Experiments/trajectory_exp_temporal_split_TKY_temporal_len3_ddpm_20250724-101259/code_snapshot/config.py

@@ -0,0 +1,64 @@
+"""
+Configuration settings for the trajectory interpolation project.
+
+This file defines a function `load_config()` which returns a dictionary 
+containing various parameters grouped by their purpose (e.g., data, model, 
+diffusion, training, sampling).
+"""
+from types import SimpleNamespace
+
+def load_config():
+    args = {
+        'data': {
+            'dataset': 'TKY_temporal',
+            'traj_path1': './data/',
+            'traj_length': 3,
+            'channels': 2,
+            'uniform_dequantization': False,
+            'gaussian_dequantization': False,
+            'num_workers': True,
+        },
+        'model': {
+            'type': "simple",
+            'attr_dim': 8,
+            'guidance_scale': 2,
+            'in_channels': 3,
+            'out_ch': 3,
+            'ch': 128,
+            'ch_mult': [1, 2, 2, 2],
+            'num_res_blocks': 2,
+            'attn_resolutions': [16],
+            'dropout': 0.1,
+            'var_type': 'fixedlarge',
+            'resamp_with_conv': True,
+        },
+        'trans': {
+            'input_dim': 3,
+            'embed_dim': 512,
+            'num_layers': 4,
+            'num_heads': 8,
+            'forward_dim': 256,
+            'dropout': 0.1,
+            'N_CLUSTER': 20,
+        },
+        'diffusion': {
+            'beta_schedule': 'linear',
+            'beta_start': 0.0001,
+            'beta_end': 0.05,
+            'num_diffusion_timesteps': 500,
+        },
+        'training': {
+            'batch_size': 256,
+            'n_epochs': 100,
+            'n_iters': 5000000,
+            'snapshot_freq': 5000,
+            'validation_freq': 10,
+            'dis_gpu': False,
+        },
+        'sampling': {
+            'batch_size': 64,
+            'last_only': True,
+        }
+    }
+
+    return args