File size: 1,355 Bytes
fc7d689 | 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 | # randomness
seed: 91 # 91
# dataset
generator:
# options: "bezier_symmetric_double", "bezier_symmetric", "bezier_asymmetric", "bezier_lerp"
name: "bezier_symmetric_double" # "bezier_symmetric_double"
bounds: "saddle" # options: pillow, dome, saddle
num_uv: 10 # 10, 16, 23
size: 10.0
num_points: 4 # grid points
lerp_factor: 0.5 # scalar factor in [0, 1] to interpolate between 2 surfaces, only for bezier_lerp
# simulator
fdm:
load: -0.5 # -0.5, scale of vertical area load
# neural networks
encoder:
shift: 0.0
hidden_layer_size: 256
hidden_layer_num: 3
activation_fn_name: "elu"
final_activation_fn_name: "softplus" # needs softplus to ensure positive output
decoder:
# If true, the decoder maps (z, boundary conditions) -> x. Otherwise, z -> x.
include_params_xl: True
hidden_layer_size: 256
hidden_layer_num: 3
activation_fn_name: "elu"
# loss function
loss:
shape:
include: True
weight: 1.0 # weight of the shape error term in the loss function
residual: # PINN term
include: True
weight: 1.0 # weight of the residual error term in the loss function
# optimization
optimizer:
name: "adam"
learning_rate: 3.0e-5 # 3.0e-5 (formfinder), 5.0e-5 (others). Be careful with scientific notation in YAML!
clip_norm: 0.0
# training
training:
steps: 10000 # 10000
batch_size: 64
|