Skip to content

Fix for new scipy #105

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Open
cmhamel wants to merge 8 commits into
base: main
Choose a base branch
from
Open

Fix for new scipy #105

Changes from 5 commits
Commits
Show all changes
8 commits
Select commit Hold shift + click to select a range
f92f8c5
Update setup.py
cmhamel Jan 7, 2025
ed7c413
Update setup.py
cmhamel Jan 7, 2025
31cfadb
adding Mike's fix
chamel3 Jan 8, 2025
a457f14
removing dead import.
chamel3 Jan 8, 2025
920030f
removing scipy upperbound.
chamel3 Jan 8, 2025
8ff76d8
patching up some tests.
chamel3 Jan 8, 2025
ddbc3cb
a few more fixes to tests. Hopefully that's it.
chamel3 Jan 8, 2025
47db509
trying with scipy upper bound since metis is causing issues now.
chamel3 Jan 8, 2025
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 3 additions & 4 deletions optimism/WarmStart.py
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,8 +1,7 @@
from scipy.sparse.linalg import cg, LinearOperator

from optimism.JaxConfig import *
import optimism.Objective as Objective
from scipy.sparse.linalg import cg, LinearOperator


def warm_start_increment(objective, x, pNew, index=0):
dp = objective.p[index] - pNew[index]

Expand All @@ -14,7 +13,7 @@ def warm_start_increment(objective, x, pNew, index=0):
raise('invalid warm start parameter gradient direction')

sz = b.size
op = lambda v: objective.hessian_vec(x, v)
op = lambda v: objective.hessian_vec(x, np.array(v, dtype=np.float64))

Lop = LinearOperator((sz,sz),
matvec = op)
Expand Down
Loading