MP_PDE / config /config.yaml
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experiment:
name: E3
model: MP-PDE
paper: https://arxiv.org/abs/2202.03376
evidence_priority: paper_then_official_repo_for_missing_details
ambiguity_policy: paper_strict # paper_strict: omega=[-0.4,-0.4]; official_consistency: [-0.4,0.4]
paths:
data: data/e3.h5
checkpoint: weight/best_model.pth
results: results
train_history: results/train_history.json
predictions: results/predictions.npz
metrics: results/metrics.json
data:
domain_length: 16.0
final_time: 4.0
num_time_points: 250 # E3 Table 1; nearby prose says 200
high_resolution_nx: 200
resolution: 100
supported_resolutions: [100, 50, 40]
sample_fraction: 0.3333333333333333 # user-authorized reduced run, 784/2352 trajectories exactly
full_experiment_samples:
train: 2096 # paper; official README says 2048
valid: 128 # paper missing; official README reference
test: 128 # paper missing; official README reference
train_samples: 698
valid_samples: 43
test_samples: 43
seed: 0
equation:
alpha_range: [0.0, 3.0]
beta_range: [0.0, 0.4]
gamma_range: [0.0, 1.0]
forcing:
terms: 5
amplitude_range: [-0.5, 0.5]
paper_omega_range: [-0.4, -0.4]
official_consistency_omega_range: [-0.4, 0.4]
modes: [1, 2, 3]
phase_range: [0.0, 6.283185307179586]
generation:
cfl: 0.2
min_dt: 1.0e-8
max_substeps: 10000
weno_epsilon: 1.0e-6
compression: gzip
compression_level: 4
parallel_generation:
workers: 8
max_in_flight: 16
flush_every: 8
resume_partial: true
model:
time_window: 25 # paper missing; official training command reference
hidden_dim: 164
message_passing_layers: 6
neighbor_offsets: [-3, -2, -1, 1, 2, 3]
aggregation: sum
instance_norm_affine: false
decoder:
middle_channels: 8
kernel_sizes: [16, 26]
strides: [3, 1]
scaling:
coordinates: true
parameters: true
solution: none
training:
epochs: 20
batch_size: 16
num_workers: 0
optimizer: AdamW
learning_rate: 1.0e-4
weight_decay: 1.0e-8
loss: rmse
loss_epsilon: 1.0e-12
max_no_grad_pushes: 1
scheduler:
enabled: true
milestones: [1, 5, 10, 15]
gamma: 0.4
precision: float32
amp: false
gradient_clip: null
seed: 0
deterministic: true
device: auto
print_interval: 10
validation_rollout_samples: null
test_rollout_samples: null
inference:
batch_size: 16
split: test
max_samples: null
device: auto
forecast_start_index: 25
visualization:
sample_index: 0
time_indices: [25, 75, 150, 249]
dpi: 160
paper_reference:
metric: forecast_accumulated_mse
values:
100: 4.26
50: 3.74
40: 3.70
note: provenance_only_not_an_assertion