Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
T
tnl-dev
Manage
Activity
Members
Labels
Plan
Issues
Issue boards
Milestones
Code
Merge requests
Repository
Branches
Commits
Tags
Repository graph
Compare revisions
Snippets
Deploy
Releases
Model registry
Analyze
Value stream analytics
Contributor 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
This is an archived project. Repository and other project resources are read-only.
Show more breadcrumbs
TNL
tnl-dev
Graph
e3bd49ecce3e01d764a7fb91ecf5f45d63a3357b
Select Git revision
No matching results
An error occurred while fetching branches. Retry the search.
An error occurred while fetching tags. Retry the search.
You can move around the graph by using the arrow keys.
Begin with the selected commit
Created with Raphaël 2.2.0
6
Dec
5
4
3
2
1
30
Nov
29
28
26
22
21
20
19
18
17
16
15
14
13
12
11
10
9
8
7
6
5
4
3
2
1
31
Oct
30
29
27
25
24
23
22
21
19
17
16
7
6
4
3
2
29
Sep
28
27
24
23
22
20
19
18
17
16
15
13
12
11
10
9
8
7
6
5
4
3
2
1
31
Aug
29
28
27
26
25
24
23
22
21
20
19
17
16
15
14
13
9
7
6
5
3
2
1
22
Jul
20
19
15
14
13
11
9
8
7
6
5
4
3
2
1
28
Jun
22
20
Set CUDA_ARCH_HOST_COMPILER to in the build script
Improved Object documentation.
Added ListExample.
Moved getNonZeroRowLengthCudaKernal to SparseRow_impl.h and indentified errors in SparseRow_impl.h . Commiting for backup purposes.
Added ListExample and ConfigDescriptionExample.
Added LoggerExample.
Deleted useless code, reformatted present code. Still have issues with getNonZeroRowLength. getRow() throws SegFault and so does resultCuda. Commiting for backup purposes.
Commented out unnecessary tests for testing of CUDA function getNonZeroRowLength.
Attempted to fix non-working CUDA code for getting non-zero elements of
Added explanation of __cuda_callable__
Added ConfigDescription documenattion.
Added computing of non-zero elements in matrix row for CUDA.
Fixed unclosed comment in Assert.h
Re-added back all tests, including CPU and GPU. Re-added multi row lengths. Commiting for backup purposes.
Changed implementation of method. Commiting for backup purposes.
Added ConfigDescription documentation and added small changes in Object, Math and ParameterContainer.
Added Object documentation.
Improved documentation of Containers/List.
Changed implementation of getting Non-Zero elements. Added problem to comments. Commiting for backup purposes.
Added elements into set compressed row lengths to test getNonZeroElements correctly. Set the row length to the same value, for easier testing. Commiting for backup purposes.
Commented out tests that are not needed to solve issues with CUDA illegal memory access.
Reformatted getNonZeroRowLength to pass on the device Type in string and thus enable the lambda in SparseRow_impl.h
Modified the ParameterContainer documentation.
Added Assert documentation.
Tried using std::vector to avoid having to implement DeviceType into SparseRow. Commiting for backup purposes.
Added getNonZeroRowLength for backup purposes.
Merge branch 'hamilton-jacobi' into 'develop'
Deleting legacy code.
Moving old code to Legacy.
Merge branch 'hamilton-jacobi' of mmg-gitlab.fjfi.cvut.cz:tnl/tnl-dev into hamilton-jacobi
3D FSM+FIM implemented
Enabled computations with single precision.
FIM implemented in 3D
Last repair of FIM for GPU.
Repair of last commit (error for - wihtout cuda):
FIM method implemented for GPU and FIM-FSM implemented for CPU (parallel).
FIM method is now faster than chess method but some random error occurs.
FIM method implemented. Neighbours are being found on CPU. 3D parallel method disabled because of Array changes.
Chess model implemented in 2D.
Added documentation of Math, Assert and ParameterContainer.
Loading