Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
A
arraycontext
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Wiki
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Build
Pipelines
Jobs
Pipeline schedules
Artifacts
Deploy
Releases
Package registry
Model registry
Operate
Environments
Terraform modules
Monitor
Incidents
Analyze
Value stream analytics
Contributor analytics
CI/CD analytics
Repository analytics
Model experiments
Help
Help
Support
GitLab documentation
Compare GitLab plans
Community forum
Contribute to GitLab
Provide feedback
Keyboard shortcuts
?
Snippets
Groups
Projects
Show more breadcrumbs
Alexandru Fikl
arraycontext
Repository graph
Repository graph
You can move around the graph by using the arrow keys.
83099f0ab71f9b74ce6e8ecec6aee51e9864cdef
Select Git revision
Branches
3
ci-remove-extras
fix-mypy
main
default
protected
3 results
Begin with the selected commit
Created with Raphaël 2.2.0
16
Jan
13
12
11
27
Dec
26
24
16
25
Nov
24
17
7
6
2
29
Oct
27
24
22
20
19
18
17
15
11
5
24
Sep
22
20
4
30
Aug
29
26
24
16
12
11
21
Jul
20
17
16
14
7
6
1
30
Jun
29
28
27
25
24
22
21
20
18
17
16
15
14
13
12
11
10
11
10
9
8
7
4
2
1
29
May
28
27
26
22
21
20
5
remove stray _get_scalar_func_loopy_program
add numpy support in each array context to the docs
Remove BaseFakeNumpySpace's dependency on call_loopy (#88)
Add a leaf_class parameter to flatten (#142)
avoid copy in flatten by not calling concatenate
Actually use _ScalarLike in from_numpy
Tighten type info on {rec_,}keyed_map_array_container
Disable fail-fast on downstream CI
Tighten type information for from_numpy
Allow specifying leaf class in recursive map and map-reduce (#128)
Mirgecom downstream CI: Use mpi4py from conda
mypy cfg: set minimum python version to 3.8 to allow pytato to pass
pytato: Convert einsum arg_names into PrefixNamed tags
test pt_actx.compile for callables returning thawed arrays
PytatoPyOpenCLArrayContext.compile: support returning arrays
fix type mismatch in serialize_container argument
PytatoPyOpenCLArrayContext: always invoke MPMS materializer
make dict of named arrays only once
Merge pull request #124 from inducer/refactor-pytato-compile-exec
Refactor PytatoActx.compile for usability by distributed
expand tests to actually check scalars
fix scalars case in loopy_implemented_elwise_func
use np.isscalar instead of isinstance(x, Number)
fix small typos
remove __mro__ check in is_array_container_type
add type annotations to is_array_field
better error message in dataclass_array_container
Fix a ci-support script name in Github CI script
Drop a now-extraneous type: ignore
Use edit_requirements_txt_for_downstream_in_subdir for downstream CI
add DeviceArray type alias for typing
use make_placeholder instead of Placeholder
allow unflatten to skip dtype and stride checks
add specific array container exception type
simplify new_like allocation
remove is_array_container_type in multimap
convert some is_array_container_type checks
allow scalars in to_numpy
adds PytatoPyOpenCLArrayContext.compile to docs
introduces FromArrayContextCompile tag
Loading