Hi. I saw the test case: Space shuttle at Mach 2 - Immersed solid boundary method via level-set. I wonder how to import a CAD model to the JAXFLUIDS solver. Thanks in advance.

Dear developers
I get an error when I use from jaxfluids.simulation_manager import SimulationManager。The reson of this error is that from jax.config import config is used in /JAXFLUIDS/src/jaxfluids/simulation_manager.py.In fact, jax suggest using this way.
import jax jax.config.update(your_config_options_here)
Thank you!

Hi,

I am just a bit curious what the plans of jaxfluids are :-) Is there any activity ongoing (or planned) for low Mach turbulent flow as well?

Best Regards
Fab

Hello,

Is it currently possible to do triple-phase simulations involving two fluid phases and a solid phase?

Problem

I'm using the jaxfluids library, which is a computational fluid dynamics library that requires JAX. I have installed JAX and jaxlib with versions jax=0.4.14 and jaxlib=0.4.14, respectively. However, when running the provided examples, I encountered the following AttributeError:

AttributeError: module 'jax.numpy' has no attribute 'DeviceArray'

I noticed that this issue has been discussed in various contexts, including GPT-3's responses. Is there a recommended solution for resolving this issue with the mentioned versions of JAX?

Solution

After researching and experimenting, I found a workaround to resolve this issue. I used PyCharm's "Replace in file" feature to replace all instances of jnp.DeviceArray with jnp.Array. This helped me successfully run the examples without encountering the AttributeError.

Here's how I performed the replacement:

Open the file where jnp.DeviceArray is used.
Use the "Replace in file" feature in PyCharm.
Replace all occurrences of jnp.DeviceArray with jnp.Array.
Please note that this is a specific workaround I tried, and it may not be the only solution. However, it worked for me with the mentioned versions of JAX. Others who are facing similar issues might find this workaround helpful.

Result

Success