TrafficWheel/model/STGNCDE/Make_model.py

22 lines
1.2 KiB
Python
Executable File

from model.STGNCDE.GCDE import *
def make_model(args):
vector_field_f = FinalTanh_f(input_channels=args['input_dim'], hidden_channels=args['hid_dim'],
hidden_hidden_channels=args['hid_hid_dim'],
num_hidden_layers=args['num_layers'])
vector_field_g = VectorField_g(input_channels=args['input_dim'], hidden_channels=args['hid_dim'],
hidden_hidden_channels=args['hid_hid_dim'],
num_hidden_layers=args['num_layers'],
num_nodes=args['num_nodes'],
cheb_k=args['cheb_k'],
embed_dim=args['embed_dim'],
g_type=args['g_type'])
model = NeuralGCDE(args, func_f=vector_field_f, func_g=vector_field_g, input_channels=args['input_dim'],
hidden_channels=args['hid_dim'],
output_channels=args['output_dim'], initial=True,
device=args['device'], atol=1e-9, rtol=1e-7, solver=args['solver'])
# return model, vector_field_f, vector_field_g
return model