Upload ProDiff/Experiments/trajectory_exp_may_data_TKY_len3_ddpm_20250724-100624/code_snapshot/config.py with huggingface_hub
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ProDiff/Experiments/trajectory_exp_may_data_TKY_len3_ddpm_20250724-100624/code_snapshot/config.py
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"""
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Configuration settings for the trajectory interpolation project.
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This file defines a function `load_config()` which returns a dictionary
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containing various parameters grouped by their purpose (e.g., data, model,
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diffusion, training, sampling).
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"""
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from types import SimpleNamespace
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def load_config():
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args = {
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'data': {
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'dataset': 'TKY',
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'traj_path1': './data/',
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'traj_length': 3,
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'channels': 2,
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'uniform_dequantization': False,
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'gaussian_dequantization': False,
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'num_workers': True,
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},
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'model': {
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'type': "simple",
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'attr_dim': 8,
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'guidance_scale': 2,
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'in_channels': 3,
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'out_ch': 3,
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'ch': 128,
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'ch_mult': [1, 2, 2, 2],
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'num_res_blocks': 2,
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'attn_resolutions': [16],
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'dropout': 0.1,
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'var_type': 'fixedlarge',
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'resamp_with_conv': True,
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},
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'trans': {
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'input_dim': 3,
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'embed_dim': 512,
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'num_layers': 4,
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'num_heads': 8,
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'forward_dim': 256,
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'dropout': 0.1,
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'N_CLUSTER': 20,
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},
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'diffusion': {
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'beta_schedule': 'linear',
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'beta_start': 0.0001,
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'beta_end': 0.05,
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'num_diffusion_timesteps': 500,
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},
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'training': {
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'batch_size': 256,
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'n_epochs': 100,
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'n_iters': 5000000,
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'snapshot_freq': 5000,
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'validation_freq': 10,
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'dis_gpu': False,
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},
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'sampling': {
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'batch_size': 64,
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'last_only': True,
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}
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}
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return args
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