Skip to content

Commit

Permalink
add compat entries
Browse files Browse the repository at this point in the history
  • Loading branch information
axsk committed Jun 6, 2024
1 parent 3f9ea14 commit 99a4d72
Show file tree
Hide file tree
Showing 2 changed files with 4 additions and 1 deletion.
3 changes: 3 additions & 0 deletions Project.toml
Original file line number Diff line number Diff line change
Expand Up @@ -55,12 +55,15 @@ DataFrames = "1.6.1"
Distances = "0.10.11"
FLoops = "0.2.1"
Flux = "0.14.12"
FiniteDiff = "2.23.1"
ForwardDiff = "0.10.36"
Graphs = "1.9.0"
JLD2 = "0.4.46"
KernelDensity = "0.6"
LsqFit = "0.15.0"
MLUtils = "0.4.4"
NNlib = "0.9.12"
Optim = "1.9"
Optimisers = "0.3.2"
OrdinaryDiffEq = "6.74.0"
PCCAPlus = "1.1.0"
Expand Down
2 changes: 1 addition & 1 deletion src/simulators/openmm.jl
Original file line number Diff line number Diff line change
Expand Up @@ -144,7 +144,7 @@ Note: For CPU we observed better performance with nthreads = num cpus, mmthreads
With GPU nthreads > 1 should be supported, but on our machine lead to slower performance then nthreads=1.
"""
function propagate(s::OpenMMSimulation, x0::AbstractMatrix{T}, ny; stepsize=s.step, steps=s.steps, nthreads=s.nthreads, mmthreads=s.mmthreads, momenta=s.momenta) where {T}
CUDA.reclaim()
s.mmthreads == "gpu" && CUDA.reclaim()
dim, nx = size(x0)
xs = repeat(x0, outer=[1, ny])
xs = permutedims(reinterpret(Tuple{T,T,T}, xs))
Expand Down

2 comments on commit 99a4d72

@axsk
Copy link
Owner Author

@axsk axsk commented on 99a4d72 Jun 6, 2024

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

@JuliaRegistrator
Copy link

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Registration pull request updated: JuliaRegistries/General/108387

Tip: Release Notes

Did you know you can add release notes too? Just add markdown formatted text underneath the comment after the text
"Release notes:" and it will be added to the registry PR, and if TagBot is installed it will also be added to the
release that TagBot creates. i.e.

@JuliaRegistrator register

Release notes:

## Breaking changes

- blah

To add them here just re-invoke and the PR will be updated.

Tagging

After the above pull request is merged, it is recommended that a tag is created on this repository for the registered package version.

This will be done automatically if the Julia TagBot GitHub Action is installed, or can be done manually through the github interface, or via:

git tag -a v0.1.0 -m "<description of version>" 99a4d7244cdd1b5977f9f550dd1549722ffb0d54
git push origin v0.1.0

Please sign in to comment.