I previously had trouble implementing my code with multiscale_fourier
networks.
after looking at Modulus Models - NVIDIA Docs by the advice in my previous post (Thanks!):
Could not unroll graph! - #11 by cpe.sk
I added frequencies
and frequencies_param
variables in my arch instantiation as such:
# make list of nodes to unroll graph on
we = Wave2DEquation(u="u", c=1.0, s_func="s_func", dim=2, time=True)
ob = OpenBoundary(u="u", c=1.0, dim=2, time=True)
arch_cfg = cfg.arch.multiscale_fourier
arch_name="multiscale_fourier"
wave_net = instantiate_arch(
input_keys=[Key("x"), Key("y"), Key("t")],
output_keys=[Key("u")],
frequencies = ("axis", [i for i in range(10)]),
frequencies_param = ("axis", [i for i in range(10)]),
cfg=arch_cfg,
)
source_net = instantiate_arch(
input_keys=[Key("x"), Key("y"), Key("t")],
output_keys=[Key("s_func")],
frequencies = ("axis", [i for i in range(10)]),
frequencies_param = ("axis", [i for i in range(10)]),
cfg=arch_cfg,
)
#creating nodes
nodes = (
we.make_nodes(detach_names=["s_func"])
+ ob.make_nodes()
+ [
wave_net.make_node(name="wave_network"),
source_net.make_node(name="source_network"),
]
)
I got this error;
Error executing job with overrides: []
Traceback (most recent call last):
File "C:\ProgramData\Anaconda3\envs\modulus_env\lib\site-packages\modulus-22.9-py3.8.egg\modulus\hydra\utils.py", line 200, in instantiate_arch
model, param = model_arch.from_config(model_cfg)
File "C:\ProgramData\Anaconda3\envs\modulus_env\lib\site-packages\modulus-22.9-py3.8.egg\modulus\models\arch.py", line 533, in from_config
model = cls(**params)
File "C:\ProgramData\Anaconda3\envs\modulus_env\lib\site-packages\modulus-22.9-py3.8.egg\modulus\models\multiscale_fourier_net.py", line 114, in __init__
layers.FourierLayer(
File "C:\ProgramData\Anaconda3\envs\modulus_env\lib\site-packages\modulus-22.9-py3.8.egg\modulus\models\layers\fourier_layers.py", line 52, in __init__
np_f = np.concatenate(np_f, axis=-2)
File "<__array_function__ internals>", line 180, in concatenate
ValueError: need at least one array to concatenate
Any suggestions on how to use this type of PINNs correctly?