Cannot change the activation function for the LDC

Physics Simulation Modulus Physics-ML Model Framework Technical Support (Modulus Only)
1

Dear All,
I am using Nvidia modulus 22.09
I am trying to change the activation function for the LDC problem.

But When I import the required library as shown in the tutorial:

from modulus.models.layers.layers import Activation

I get this error
No module named ‘modulus.models.layers.layers’

Thanks in advance

2

Hi @omarkhaledsallam

Please try from modulus.models.layers import Activation

Which tutorial are you referring to here? Please provide the link if you can and we will get it fixed. Thank you!

3

Thanks for you reply

I get this from the tutorial link below:
https://docs.nvidia.com/deeplearning/modulus/user_guide/features/configuration.html

In the (Changing Activation Functions) section

I changed the the import to
from modulus.models.layers import Activation

and it worked :)
Thanks

4

Hi @ngeneva

I wanted to change the activation function as well and I already changed the path.

However, I get following error:

Error executing job with overrides: []
Traceback (most recent call last):
  File "/software/modulus/22.09/lib/python3.8/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 "/software/modulus/22.09/lib/python3.8/site-packages/modulus-22.9-py3.8.egg/modulus/models/arch.py", line 500, in from_config
    cfg["activation_fn"] = Activation[cfg["activation_fn"]]
  File "/software/modulus/22.09/lib/python3.8/site-packages/modulus-22.9-py3.8.egg/modulus/models/layers/activation.py", line 16, in __getitem__
    return super().__getitem__(name.upper())
AttributeError: 'Activation' object has no attribute 'upper'

The above exception was the direct cause of the following exception:

Traceback (most recent call last):
  File "cylinder_2d.py", line 85, in run
    flow_net = instantiate_arch(
  File "/software/modulus/22.09/lib/python3.8/site-packages/modulus-22.9-py3.8.egg/modulus/hydra/utils.py", line 210, in instantiate_arch
    raise Exception(fail) from e
Exception: Failed to initialize architecture.
 {'input_keys': [x, y], 'output_keys': [u, v, p], 'detach_keys': [???], 'scaling': None, 'layer_size': 512, 'nr_layers': 6, 'skip_connections': False, 'activation_fn': <Activation.SILU: 9>, 'adaptive_activations': False, 'weight_norm': True}

Set the environment variable HYDRA_FULL_ERROR=1 for a complete stack trace.
ERROR:torch.distributed.elastic.multiprocessing.api:failed (exitcode: 1) local_rank: 0 (pid: 121742) of binary: /software/modulus/22.09/bin/python3.8
Traceback (most recent call last):
  File "/software/modulus/22.09/bin/torchrun", line 8, in <module>
    sys.exit(main())
  File "/software/modulus/22.09/lib/python3.8/site-packages/torch/distributed/elastic/multiprocessing/errors/__init__.py", line 346, in wrapper
    return f(*args, **kwargs)
  File "/software/modulus/22.09/lib/python3.8/site-packages/torch/distributed/run.py", line 762, in main
    run(args)
  File "/software/modulus/22.09/lib/python3.8/site-packages/torch/distributed/run.py", line 753, in run
    elastic_launch(
  File "/software/modulus/22.09/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 132, in __call__
    return launch_agent(self._config, self._entrypoint, list(args))
  File "/software/modulus/22.09/lib/python3.8/site-packages/torch/distributed/launcher/api.py", line 246, in launch_agent
    raise ChildFailedError(
torch.distributed.elastic.multiprocessing.errors.ChildFailedError:

How can fix this issue?

Many thanks in advance.