anypinn.cli.scaffold.gray_scott_2d.config_synthetic

Gray-Scott 2D Reaction-Diffusion — training configuration (synthetic).

EXPERIMENT_NAME = '__EXPERIMENT_NAME__' module-attribute

RUN_NAME = 'v0' module-attribute

hp = PINNHyperparameters(lr=0.001, max_epochs=3000, gradient_clip_val=0.5, training_data=(GenerationConfig(batch_size=256, data_ratio=64, collocations=10000, collocation_sampler='latin_hypercube', x=(torch.linspace(0, 1, steps=50)), args_to_train={}, noise_level=0)), fields_config=(MLPConfig(in_dim=39, out_dim=1, hidden_layers=[128, 256, 256, 128], activation='tanh', output_activation=None)), params_config=(ScalarConfig(init_value=0.01)), scheduler=(CosineAnnealingConfig(T_max=3000, eta_min=1e-06)), smma_stopping=(SMMAStoppingConfig(window=20, threshold=0.005, lookback=100))) module-attribute