Add model configuration
Browse files- config.json +84 -0
config.json
ADDED
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{
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"architectures": [
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"PointNetCFD"
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],
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"framework": "pytorch",
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"model_name": "PointNetCFD",
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"model_type": "pointnetcfd",
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"source_config": "config/config.yaml",
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"experiment": {
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"name": "pointcfd_main",
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"paper": "https://arxiv.org/pdf/2010.09469"
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},
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"paths": {
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"data_dir": "/public/share/sugonhpcapp01/onestore/onedatasets/PointNetCFD_data",
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"data_file": "CFDdata.npy",
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"train_indices": "training_idx.npy",
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"validation_indices": "validation_idx.npy",
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"test_indices": "test_idx.npy",
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"checkpoint": "weight/best_model.pth",
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"results_dir": "results"
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},
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"data": {
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"num_points": 1024,
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"source_channels": [
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"x",
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"y",
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"p",
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"u",
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"v"
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],
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"input_indices": [
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0,
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1
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],
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"target_indices": [
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3,
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4,
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2
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],
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"input_names": [
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"x",
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"y"
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],
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"target_names": [
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"u",
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"v",
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"p"
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],
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"coordinate_normalization": "none",
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"target_normalization": "train_minmax"
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},
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"model": {
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"input_dim": 2,
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"output_dim": 3,
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"global_feature_dim": 1024,
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"expected_paper_parameters": 3552588
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},
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"training": {
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"seed": 0,
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"epochs": 4000,
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"batch_size": 256,
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"num_workers": 0,
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"optimizer": "adam",
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"learning_rate": 0.0005,
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"beta1": 0.9,
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"beta2": 0.999,
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"epsilon": 1e-06,
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"weight_decay": 0.0,
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"scheduler": "none",
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"precision": "float32",
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"validation_interval": 1,
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"log_every_batches": 1,
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"best_metric": "val_mse"
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},
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"evaluation": {
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"relative_l2_epsilon": 1e-12,
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"visualization_cases": 3,
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"paper_reference_mean_relative_l2": {
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"u": 0.0449666,
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"v": 0.037054,
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"p": 0.0271661
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}
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}
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}
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