Add model configuration
Browse files- config.json +94 -0
config.json
ADDED
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| 1 |
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{
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| 2 |
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"architectures": [
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"Fno2d"
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],
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"framework": "pytorch",
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"model_name": "CFDBench",
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"model_type": "cfdbench",
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"source_config": "conf/config.yaml",
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"root": {
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"datapipe": {
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"source": {
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"data_dir": "./data/cfdbench",
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"data_name": "tube_prop_bc_geo"
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},
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"verbose": true,
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"data": {
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"task_type": "auto",
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"norm_props": true,
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"norm_bc": true,
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"delta_time": 0.1,
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"stable_state_diff": 0.001,
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"split_ratios": [
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0.7,
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0.15,
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0.15
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],
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"seed": 0,
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"num_rows": 8,
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"num_cols": 8
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},
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"dataloader": {
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"batch_size": 2,
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"eval_batch_size": 2,
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"num_workers": 0
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}
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},
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"model": {
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"name": "fno",
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"num_label_samples": 64,
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"in_chan": 2,
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"out_chan": 2,
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"ffn_depth": 2,
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"ffn_width": 64,
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"autoffn_depth": 2,
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"autoffn_width": 64,
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"deeponet_width": 64,
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"branch_depth": 2,
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"trunk_depth": 2,
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"act_fn": "relu",
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"act_scale_invariant": true,
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"act_on_output": false,
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"autoedeeponet_width": 64,
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"autoedeeponet_depth": 2,
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"autoedeeponet_act_fn": "relu",
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"fno_depth": 2,
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"fno_hidden_dim": 16,
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"fno_modes_x": 4,
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"fno_modes_y": 4,
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"unet_dim": 8,
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"unet_insert_case_params_at": "input",
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"resnet_depth": 2,
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"resnet_hidden_chan": 16,
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"resnet_kernel_size": 7,
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"resnet_padding": 3
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},
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"training": {
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"output_dir": "./result",
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"mode": "train_test",
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"group_by_model": true,
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"device": "cpu",
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"num_epochs": 1,
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"lr": 0.001,
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"lr_step_size": 20,
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"lr_gamma": 0.9,
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"log_interval": 1,
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"eval_interval": 1,
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"loss_name": "nmse",
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"checkpoint_name": "auto"
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},
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"inference": {
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"checkpoint_path": "auto",
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"output_dir": "./result/inference",
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"group_by_model": true,
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"device": "cpu",
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"max_batches": 2,
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"plot_interval": 1
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},
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"fake_data": {
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"num_cases_per_subset": 4,
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"num_frames": 4,
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"seed": 123
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}
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}
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}
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