Comments (6)
Our system seems to have forgotten it's got GPUs post power cut so it's CPU only for now, I assume the underlying save functions are the same between devices?
Yes. CPUs are even better for MWEs since we can run them from any laptop.
Could you please post the MWE on #3056? That way we centralize the discussion there.
from oceananigans.jl.
I've seen this before and yes I think it's a bug. Is there another issue open about this? I think there may be. @tomchor has a PR that is looking at this, we could use some extra eyes though.
from oceananigans.jl.
I also reported this on #3056, so maybe we should close this to avoid multiple issues of the same problem.
I don't have a PR specifically trying to fix that, but it is possible that #3606 fixes, or least ameliorates, the issue.
@mncrowe can you test your simulation on that branch and check if you see the same behavior?
from oceananigans.jl.
@mncrowe it sounds like this happened when you weren't using adaptive time-stepping --- which is nice because it will help us construct an MWE more easily. Do you think you can help with that? We just need a very simple simulation that reproduces the issue, hopefully something 0D with no dynamics that runs fast.
from oceananigans.jl.
@glwagner Will do. I'll remove the dynamics from my run and see if I can get a minimum not-working example.
@tomchor I've downloaded that branch and will test when I can.
Our system seems to have forgotten it's got GPUs post power cut so it's CPU only for now, I assume the underlying save functions are the same between devices?
from oceananigans.jl.
I don't think the MWE even requires saving output. Can't we also achieve an MWE using a simple Callback
?
This issue should be independent of whether you are using the CPU or GPU.
from oceananigans.jl.
Related Issues (20)
- Post-Checkpoint Output Saving Interval Issue HOT 16
- `Mem.free` is deprecated HOT 1
- Add in documentation for user defined vertical diffusivity profile in the hydrostatic model HOT 3
- Error in AveragedTimeInterval Output HOT 32
- Documentation 2.0 HOT 3
- Egregious errors in `NonhydrostaticModel` simulations on `ImmersedBoundaryGrid` when nonhydrostatic pressure is not separated HOT 21
- `cell_advection_timescale` (and CFL) does not account for `Flat` topologies HOT 1
- Support passing keyword arguments to `jldopen` when using `FieldTimeSeries` HOT 1
- `PartialCellBottom` needs to be adapted correctly for the GPU when using a `HydrostaticFreeSurfaceModel` HOT 4
- Performance benchmarks section of the README is super out of date HOT 3
- `view` fails on a `Field` indexed from `FieldTimeSeries`
- Ocenanigans license HOT 5
- Reducing parameter space usage by `LatitudeLongitudeGrid` HOT 3
- Why do we need 4 halo points in the vertical for `VectorInvariant(vertical_scheme=Centered())`? HOT 2
- `xspacings` is broken for `ImmersedBoundaryGrid`
- Change free surface displacement name from `η` to `displacement` for `HydrostaticFreeSurfaceModel`
- Docstring for `WENOVectorInvariant` is too terse and does not have examples
- Bottom drag on immersed boundaries may differ if implemented with `Forcing` vs `ImmersedBoundaryCondition`
- Convert code blocks documenting `ImmersedBoundaryCondition` to doctests HOT 10
- Re-licensing Oceananigans under Apache 2.0
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.
from oceananigans.jl.