Skip to content
GitLab
Explore
Sign in
Primary navigation
Search or go to…
Project
D
distiller
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
llvm
distiller
Repository
75a1e7e8ade5c6a5f410e0f2a54d0802d843921e
Select Git revision
Branches
12
master
default
protected
update_links
load_quant_aware_train_checkpoint
kd_fixes
api_changes
lattice_regularization
inception_support
ax_integration
ptq_propagate_settings
gste
4-bit-qat
scale_approximation
Tags
7
v0.3.2
amc_before_pytorch1.1_merge
v0.3.1
v0.3.0
v0.2.1
v0.2.0
v0.1.0
19 results
distiller
imgs
Compare
Find file
Code
Clone with SSH
Clone with HTTPS
Open in your IDE
Visual Studio Code (SSH)
Visual Studio Code (HTTPS)
IntelliJ IDEA (SSH)
IntelliJ IDEA (HTTPS)
Download source code
zip
tar.gz
tar.bz2
tar
Download this directory
zip
tar.gz
tar.bz2
tar
Download
Download source code
zip
tar.gz
tar.bz2
tar
Copy HTTPS clone URL
Copy SSH clone URL
git@gitlab.engr.illinois.edu:llvm/distiller.git
Copy HTTPS clone URL
https://gitlab.engr.illinois.edu/llvm/distiller.git
Wiki: Fix example images
Neta Zmora authored
6 years ago
Replace "concat" layers with "element-wise addition" layers, to match the text.
75a1e7e8
History
75a1e7e8
6 years ago
History
Name
Last commit
Last update
..
wiki
banner1.png
ch_compute_stats.png
ch_sparsity_stats.png
ch_sparsity_stats_barchart.png
pruning_structs_ex1.png
pruning_structs_ex2.png
pruning_structs_ex3.png
pruning_structs_ex4.png
pruning_structs_ex5.png
resnet18-sensitivity.png
resnet18_summary_compute.png
resnet18_summary_modules.png
resnet18_summary_png.png
resnet18_summary_sparsity.png
simplenet_training.png
sparse_dense_cmaps.png