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b871dba | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 | # PointCFD main experiment from arXiv:2010.09469.
experiment:
name: pointcfd_main
paper: https://arxiv.org/pdf/2010.09469
paths:
data_dir: /public/share/sugonhpcapp01/onestore/onedatasets/PointNetCFD_data
data_file: CFDdata.npy
train_indices: training_idx.npy
validation_indices: validation_idx.npy
test_indices: test_idx.npy
checkpoint: weight/best_model.pth
results_dir: results
data:
num_points: 1024
source_channels: [x, y, p, u, v]
input_indices: [0, 1]
target_indices: [3, 4, 2]
input_names: [x, y]
target_names: [u, v, p]
coordinate_normalization: none
target_normalization: train_minmax
model:
input_dim: 2
output_dim: 3
global_feature_dim: 1024
expected_paper_parameters: 3552588
training:
# The paper does not report a random seed; zero is the reproducible default.
seed: 0
epochs: 4000
batch_size: 256
num_workers: 0
optimizer: adam
learning_rate: 0.0005
beta1: 0.9
beta2: 0.999
epsilon: 0.000001
weight_decay: 0.0
scheduler: none
precision: float32
validation_interval: 1
log_every_batches: 1
# The paper validates each epoch but does not define checkpoint selection.
best_metric: val_mse
evaluation:
relative_l2_epsilon: 1.0e-12
visualization_cases: 3
paper_reference_mean_relative_l2:
u: 0.0449666
v: 0.0370540
p: 0.0271661
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