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Functions25 in github.com/WooJin-Cho/Hyper-LR-PINN

↓ 12 callersFunctionorthogonality_reg
(col, row, rank)
utils.py:13
↓ 9 callersFunctionget_config
()
config.py:31
↓ 6 callersFunctionreaction_diffusion_discrete_solution
(u0 : str, nu, rho, nx = 256, nt = 100)
data_gen/systems.py:94
↓ 6 callersFunctionreaction_solution
(u0: str, rho, nx=256, nt=100)
data_gen/systems.py:76
↓ 6 callersFunctionsample_random
(X_all, N)
data_gen/utils.py:12
↓ 4 callersFunctionconvection_diffusion_discrete_solution
(u0: str, nu, beta, source=0, xgrid=256, nt=100)
data_gen/systems.py:124
↓ 4 callersFunctionfunction
(u0: str)
data_gen/systems.py:5
↓ 4 callersFunctionget_params
(model)
utils.py:46
↓ 3 callersFunctionconvection_diffusion
du/dt = -beta*du/dx + nu*d2u/dx2
data_gen/systems.py:67
↓ 3 callersFunctionreaction
du/dt = rho*u*(1-u)
data_gen/systems.py:50
↓ 2 callersFunctionf_cal_phase2
(x, t, beta, nu, rho, net)
utils.py:72
↓ 1 callersMethod__init__
(self, hidden_dim)
model.py:10
↓ 1 callersFunctionconvection_diffusion_reaction_discrete_solution
(u0 : str, beta, nu, rho, nx = 256, nt = 100)
data_gen/systems.py:152
↓ 1 callersFunctiondiffusion
du/dt = nu*d2u/dx2
data_gen/systems.py:58
↓ 1 callersFunctionf_cal
(x, t, beta, nu, rho, net, hidden_dim)
utils.py:57
↓ 1 callersFunctionmain
()
test.py:18
↓ 1 callersFunctionmain
()
train_adap.py:20
↓ 1 callersFunctionmain
()
train_meta.py:18
↓ 1 callersFunctionmain
()
train_full.py:20
↓ 1 callersFunctionset_seed
(seed)
data_gen/utils.py:5
Method__init__
(self, hidden_dim, start_w, start_b, end_w, end_b, col_0, col_1, col_2, row_0, row_1, row_2,
model.py:83
Methodforward
(self, x, t, beta, nu, rho)
model.py:38
Methodforward
(self, x, t)
model.py:114
Functionget_alphas
(coeff, meta_layer_1_w, meta_layer_1_b, meta_layer_2_w, meta_layer_2_b, meta_layer_3_w, meta_layer_3_b,
utils.py:20
Functionset_activation
(activation)
data_gen/utils.py:29