c6b5bfca85
Updated cache v0.2 with `hashlib` ( #3350 )
...
* Update cache v0.2 to include parent hash
Possible fix for https://github.com/ultralytics/yolov5/issues/3349
* Update datasets.py
2021-05-26 14:26:52 +02:00
aad99b63d6
TensorBoard DP/DDP graph fix ( #3325 )
2021-05-25 11:45:24 +02:00
73a92dc1b6
Explicit `git clone` master ( #3311 )
2021-05-24 12:42:36 +02:00
9f3a388cea
Improved check_requirements() robustness ( #3298 )
...
Add try: except clause on missing requirements install to catch install failures. Prompted by Ultralytics YOLOv5 API failure on Cython.
2021-05-23 18:00:23 +02:00
a039b7796d
PyTorch Hub `crops = results.crop()` return values ( #3282 )
...
* Changing save_one_box
Made to work with other changes to common.py
* PEP8 and single line BGR
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-23 16:00:55 +02:00
0e2f2cbb51
Update LoadStreams init fallbacks ( #3295 )
2021-05-23 14:55:42 +02:00
19100ba007
Improves docs and handling of entities and resuming by WandbLogger ( #3264 )
...
* adds latest tag to match wandb defaults
* adds entity handling, 'last' tag
* fixes bug causing finished runs to resume
* removes redundant "last" tag for wandb artifact
2021-05-21 23:42:53 +02:00
683cefead4
YouTube stream ending fix ( #3277 )
...
* YouTube stream ending fix
Properly terminates YouTube streams on video end. Should resolve issues #2769 and #3220 .
* Update datasets.py
2021-05-21 16:51:07 +02:00
f3402353fb
check `batch_size % utilized_device_count` ( #3276 )
...
Bug fix to check batch_size divisibility of utilized CUDA device count vs total system CUDA device count.
2021-05-21 15:20:03 +02:00
7b0eb952ca
`plot_one_box()` default `color=(128, 128, 128)` ( #3240 )
...
* Color can be none by default
* `plot_one_box()` default `color=(128, 128, 128)`
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-19 19:47:36 +02:00
3f74cd9ed1
Parameterize max_det + inference default at 1000 ( #3215 )
...
* Added max_det parameters in various places
* 120 character line
* PEP8
* 120 character line
* Update inference default to 1000 instances
* Update inference default to 1000 instances
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-05-17 22:47:44 +02:00
13a1c72699
Update datasets.py ( #3216 )
2021-05-17 22:24:26 +02:00
ffb47ffbeb
Silent Patches Bug Fix ( #3214 )
2021-05-17 17:47:30 +02:00
36b0a9e7d0
Add CAP_PROP_FRAME_COUNT for YouTube sources ( #3193 )
2021-05-17 12:27:40 +02:00
ae53f50ae7
Plot labels histogram colors ( #3192 )
2021-05-17 11:44:22 +02:00
c1c7eb023f
Update JSON response ( #3139 )
2021-05-12 18:23:50 +02:00
52c05707d6
Update Colors() ( #3046 )
...
* Update Colors()
* update colors
* update colors
2021-05-12 17:41:11 +02:00
abfcf9eb79
Replace print() with logging.info() in trainloader ( #3103 )
...
Might indirectly help #3095 by providing better visibility on source of corruption.
2021-05-10 17:07:16 +02:00
57b0d3a605
Add check_python() ( #3088 )
...
* Add check_python()
Checks python version against minimum version of 3.7.0.
* remove packaging dependency
* refactor import
2021-05-09 15:33:38 +02:00
d2a17289c9
Explicitly convert artifact path to posix_path ( #3067 )
...
* Explicitly convert artifact path to posix_path
* Remove redudant str() casting
2021-05-07 19:53:56 +02:00
b18ca31ff5
use check_file for --data ( #3035 )
2021-05-05 14:28:19 +02:00
8cab907f60
download() ThreadPool update ( #3027 )
...
* download() ThreadPool update
* update train image count
* cid + 1
2021-05-04 23:37:31 +02:00
5189b3addb
Objects365 Update
2021-05-04 02:25:14 +02:00
41cc7caee6
Add NMS threshold checks ( #3020 )
...
* Add NMS threshold checks
* fix
2021-05-03 15:07:20 +02:00
fcd57028d2
Add is_colab() function ( #3018 )
2021-05-03 12:37:50 +02:00
31ee54c28c
Hubconf.py bug fix ( #3007 )
2021-05-01 18:15:17 +02:00
37eaffec7d
Curl update ( #3004 )
...
* Curl update
* Curl update
2021-05-01 17:29:51 +02:00
4d7bca7648
Add unzip flag to download() ( #3002 )
2021-05-01 12:37:41 +02:00
54652fe3ff
Objects365 update
2021-05-01 00:16:58 +02:00
801b469878
Improve performance of dataset Logger ( #2943 )
...
* Improve performance of Dataset Logger
* Fix scaling bug
2021-04-30 21:54:26 +02:00
955eea8b96
Make cache saving optional ( #2977 )
2021-04-30 00:56:44 +02:00
a833ee2a46
Update check_requirements() exclude list ( #2974 )
2021-04-29 21:16:23 +02:00
2c7c075fb1
Update restapi.py ( #2967 )
2021-04-28 17:50:07 +02:00
57812df68c
New Colors() class ( #2963 )
2021-04-28 16:05:14 +02:00
1849916726
Check_requirements() enclosing apostrophe bug fix ( #2929 )
...
This fixes a bug where the '>' symbol in python package requirements was not running correctly with subprocess.check_output() commands.
2021-04-25 23:33:25 +02:00
9c7bb5a52c
ACON Activation batch-size 1 bug patch ( #2901 )
...
* ACON Activation batch-size 1 bug path
This is not a great solution to https://github.com/nmaac/acon/issues/4 but it's all I could think of at the moment.
WARNING: YOLOv5 models with MetaAconC() activations are incapable of running inference at batch-size 1 properly due to a known bug in https://github.com/nmaac/acon/issues/4 with no known solution.
* Update activations.py
* Update activations.py
* Update activations.py
* Update activations.py
2021-04-25 22:54:07 +02:00
c0d3f80544
Add verbose option to pytorch hub models ( #2926 )
...
* Add verbose and update print to logging
* Fix positonal param
* Revert auto formatting changes
* Update hubconf.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-25 22:01:05 +02:00
45632b2704
Update download() for tar.gz files ( #2919 )
...
* Update download() for tar.gz files
* Update general.py
2021-04-24 15:53:15 +02:00
1b1ab4cca2
Add file_size() function ( #2911 )
...
* Add file_size() function
* Update export.py
2021-04-24 01:31:11 +02:00
14d2d2d75f
Update google_utils.py ( #2900 )
2021-04-22 20:27:32 +02:00
264d860f8d
ACON activation function ( #2893 )
...
* ACON Activation Function
## 🚀 Feature
There is a new activation function [ACON (CVPR 2021)](https://arxiv.org/pdf/2009.04759.pdf ) that unifies ReLU and Swish.
ACON is simple but very effective, code is here: https://github.com/nmaac/acon/blob/main/acon.py#L19
The improvements are very significant:
## Alternatives
It also has an enhanced version meta-ACON that uses a small network to learn beta explicitly, which may influence the speed a bit.
## Additional context
[Code](https://github.com/nmaac/acon ) and [paper](https://arxiv.org/pdf/2009.04759.pdf ).
* Update activations.py
2021-04-22 17:26:05 +02:00
0395e39fd0
Uppercase model filenames enabled ( #2890 )
2021-04-22 16:51:21 +02:00
78fd077657
VisDrone2019-DET Dataset Auto-Download ( #2882 )
...
* VisDrone Dataset Auto-Download
* add visdrone.yaml
* cleanup
* add VisDrone2019-DET-test-dev
* cleanup VOC
2021-04-22 12:10:26 +02:00
d48a34dca7
bug fix: switched rows and cols for correct detections in confusion matrix ( #2883 )
2021-04-22 00:49:55 +02:00
5f7d39fede
Cleanup load_image() ( #2871 )
...
* don't resize up in load_image if augmenting
* cleanup
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-21 15:50:28 +02:00
f7bc685c2c
Implement yaml.safe_load() ( #2876 )
...
* Implement yaml.safe_load()
* yaml.safe_dump()
2021-04-21 14:34:45 +02:00
c949fc86d1
Detection cropping+saving feature addition for detect.py and PyTorch Hub ( #2827 )
...
* Update detect.py
* Update detect.py
* Update greetings.yml
* Update cropping
* cleanup
* Update increment_path()
* Update common.py
* Update detect.py
* Update detect.py
* Update detect.py
* Update common.py
* cleanup
* Update detect.py
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-20 23:51:08 +02:00
c5c647e281
Update increment_path() to handle file paths ( #2867 )
2021-04-20 19:47:07 +02:00
c15e25c40f
PyTorch Hub cv2 .save() .show() bug fix ( #2831 )
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* PyTorch Hub cv2 .save() .show() bug fix
cv2.rectangle() was failing on non-contiguous np array inputs. This checks for contiguous arrays and applies is necessary:
```python
imgs[i] = im if im.data.contiguous else np.ascontiguousarray(im) # update
```
* Update plots.py
```python
assert im.data.contiguous, 'Image not contiguous. Apply np.ascontiguousarray(im) to plot_on_box() input image.'
```
* Update hubconf.py
Expand CI tests to OpenCV image.
2021-04-18 13:47:40 +02:00
aff03be35a
YouTube Bug Fix ( #2818 )
...
Fix for #2810
```shell
python detect.py --source 0
```
introduced by YouTube Livestream Detection PR #2752
2021-04-16 17:58:28 +02:00
1f3e482bce
ONNX Simplifier ( #2815 )
...
* ONNX Simplifier
Add ONNX Simplifier to ONNX export pipeline in export.py. Will auto-install onnx-simplifier if onnx is installed but onnx-simplifier is not.
* Update general.py
2021-04-16 14:03:27 +02:00
1479737064
Flask REST API Example ( #2732 )
...
* add files
* Update README.md
* Update README.md
* Update restapi.py
pretrained=True and model.eval() are used by default when loading a model now, so no need to call them manually.
* PEP8 reformat
* PEP8 reformat
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-15 13:26:08 +02:00
0f395b3e3b
YOLOv5 v5.0 Release patch 1 ( #2764 )
...
* torch.jit.trace(model, img, strict=False)
* Update check_file()
* Update hubconf.py
* Update README.md
2021-04-11 23:11:43 +02:00
f5b8f7d54c
YOLOv5 v5.0 Release ( #2762 )
2021-04-11 19:23:47 +02:00
e2b7bc0b32
YouTube Livestream Detection ( #2752 )
...
* Youtube livestream detection
* dependancy update to auto install pafy
* Remove print
* include youtube_dl in deps
* PEP8 reformat
* youtube url check fix
* reduce lines
* add comment
* update check_requirements
* stream framerate fix
* Update README.md
* cleanup
* PEP8
* remove cap.retrieve() failure code
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-04-11 18:53:40 +02:00
0cae7576a9
utils/wandb_logging PEP8 reformat ( #2755 )
...
* wandb_logging PEP8 reformat
* Update wandb_utils.py
2021-04-10 21:09:23 +02:00
c03d590320
Add Hub results.pandas() method ( #2725 )
...
* Add Hub results.pandas() method
New method converts results from torch tensors to pandas DataFrames with column names.
This PR may partially resolve issue https://github.com/ultralytics/yolov5/issues/2703
```python
results = model(imgs)
print(results.pandas().xyxy[0])
xmin ymin xmax ymax confidence class name
0 57.068970 391.770599 241.383545 905.797852 0.868964 0 person
1 667.661255 399.303589 810.000000 881.396667 0.851888 0 person
2 222.878387 414.774231 343.804474 857.825073 0.838376 0 person
3 4.205386 234.447678 803.739136 750.023376 0.658006 5 bus
4 0.000000 550.596008 76.681190 878.669922 0.450596 0 person
```
* Update comments
torch example input now shown resized to size=640 and also now a multiple of P6 stride 64 (see https://github.com/ultralytics/yolov5/issues/2722#issuecomment-814785930 )
* apply decorators
* PEP8
* Update common.py
* pd.options.display.max_columns = 10
* Update common.py
2021-04-07 16:28:07 +02:00
3067429307
Add support for list-of-directory data format for wandb ( #2719 )
2021-04-06 16:57:13 +02:00
514ebcdf33
Fix : #2674 ( #2683 )
...
* Set resume flag to false
* Check existance of val dataset
2021-04-02 11:54:50 +02:00
2a28ef374b
Set resume flag to false ( #2657 )
2021-03-31 13:47:54 +02:00
9c803f2f7e
Add --label-smoothing eps argument to train.py (default 0.0) ( #2344 )
...
* Add label smoothing option
* Correct data type
* add_log
* Remove log
* Add log
* Update loss.py
remove comment (too versbose)
Co-authored-by: phattran <phat.tranhoang@cyberlogitec.com>
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-29 18:45:46 +02:00
866bc7d640
Speed profiling improvements ( #2648 )
...
* Speed profiling improvements
* Update torch_utils.py
deepcopy() required to avoid adding elements to model.
* Update torch_utils.py
2021-03-29 15:19:07 +02:00
1e8ab3f5f2
Add tqdm pbar.close() ( #2644 )
...
When using tqdm, sometimes it can't print in one line and roll to next line.
2021-03-29 12:21:25 +02:00
2e95cf3d79
Improve git_describe() fix 1 ( #2635 )
...
Add stderr=subprocess.STDOUT to catch error messages.
2021-03-28 17:09:06 +02:00
518c09578e
W&B resume ddp from run link fix ( #2579 )
...
* W&B resume ddp from run link fix
* Native DDP W&B support for training, resuming
2021-03-28 16:11:36 +02:00
6e8c5b7678
Improve git_describe() ( #2633 )
...
Catch 'fatal: not a git repository' returns and return '' instead (observed in GCP Hub checks).
2021-03-28 15:39:31 +02:00
0ff5aeca61
Create date_modified() ( #2616 )
...
Updated device selection string with fallback for non-git directories.
```python
def select_device(device='', batch_size=None):
# device = 'cpu' or '0' or '0,1,2,3'
s = f'YOLOv5 🚀 {git_describe() or date_modified()} torch {torch.__version__} ' # string
...
```
2021-03-26 12:52:47 +01:00
196bf10603
Add '*.mpo' to supported image formats ( #2615 )
...
Co-authored-by: Max Uppenkamp <max.uppenkamp@inform-software.com>
2021-03-26 12:45:22 +01:00
77415a42e5
Update git_describe() for remote dir usage ( #2606 )
2021-03-26 01:44:00 +01:00
3bb414890a
resume.py typo ( #2603 )
2021-03-25 20:55:20 +01:00
d4456e43b2
Update segment2box() comment ( #2600 )
2021-03-25 15:12:49 +01:00
333ccc5b0f
YOLOv5 PyTorch Hub models >> check_requirements() ( #2592 )
...
Improved user-feedback following requirements auto-update.
2021-03-24 17:51:39 +01:00
75feeb797c
YOLOv5 PyTorch Hub models >> check_requirements() ( #2591 )
...
Prints 'Please restart runtime or rerun command for update to take effect.' following package auto-install to inform users to restart/rerun.
2021-03-24 16:42:54 +01:00
2b329b0945
Enhanced check_requirements() with auto-install ( #2575 )
...
* Update check_requirements() with auto-install
This PR builds on an idea I had to automatically install missing dependencies rather than simply report an error message.
YOLOv5 should now 1) display all dependency issues and not simply display the first missing dependency, and 2) attempt to install/update each missing/VersionConflict package.
* cleanup
* cleanup 2
* Check requirements.txt file exists
* cleanup 3
2021-03-24 01:05:59 +01:00
1bf9365280
W&B DDP fix ( #2574 )
2021-03-23 16:54:34 +01:00
e8fc97aa38
Improved W&B integration ( #2125 )
...
* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Init Commit
* new wandb integration
* Update
* Use data_dict in test
* Updates
* Update: scope of log_img
* Update: scope of log_img
* Update
* Update: Fix logging conditions
* Add tqdm bar, support for .txt dataset format
* Improve Result table Logger
* Add dataset creation in training script
* Change scope: self.wandb_run
* Add wandb-artifact:// natively
you can now use --resume with wandb run links
* Add suuport for logging dataset while training
* Cleanup
* Fix: Merge conflict
* Fix: CI tests
* Automatically use wandb config
* Fix: Resume
* Fix: CI
* Enhance: Using val_table
* More resume enhancement
* FIX : CI
* Add alias
* Get useful opt config data
* train.py cleanup
* Cleanup train.py
* more cleanup
* Cleanup| CI fix
* Reformat using PEP8
* FIX:CI
* rebase
* remove uneccesary changes
* remove uneccesary changes
* remove uneccesary changes
* remove unecessary chage from test.py
* FIX: resume from local checkpoint
* FIX:resume
* FIX:resume
* Reformat
* Performance improvement
* Fix local resume
* Fix local resume
* FIX:CI
* Fix: CI
* Imporve image logging
* (:(:Redo CI tests:):)
* Remember epochs when resuming
* Remember epochs when resuming
* Update DDP location
Potential fix for #2405
* PEP8 reformat
* 0.25 confidence threshold
* reset train.py plots syntax to previous
* reset epochs completed syntax to previous
* reset space to previous
* remove brackets
* reset comment to previous
* Update: is_coco check, remove unused code
* Remove redundant print statement
* Remove wandb imports
* remove dsviz logger from test.py
* Remove redundant change from test.py
* remove redundant changes from train.py
* reformat and improvements
* Fix typo
* Add tqdm tqdm progress when scanning files, naming improvements
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-23 00:44:50 +01:00
9b11f0c58b
PyTorch Hub models default to CUDA:0 if available ( #2472 )
...
* PyTorch Hub models default to CUDA:0 if available
* device as string bug fix
2021-03-14 23:16:17 -07:00
2d41e70e82
Scipy kmeans-robust autoanchor update ( #2470 )
...
Fix for https://github.com/ultralytics/yolov5/issues/2394
2021-03-14 21:58:12 -07:00
38ff499b26
Update autosplit() with annotated_only option ( #2466 )
...
* Be able to create dataset from annotated images only
Add the ability to create a dataset/splits only with images that have an annotation file, i.e a .txt file, associated to it. As we talked about this, the absence of a txt file could mean two things:
* either the image wasn't yet labelled by someone,
* either there is no object to detect.
When it's easy to create small datasets, when you have to create datasets with thousands of images (and more coming), it's hard to track where you at and you don't want to wait to have all of them annotated before starting to train. Which means some images would lack txt files and annotations, resulting in label inconsistency as you say in #2313 . By adding the annotated_only argument to the function, people could create, if they want to, datasets/splits only with images that were labelled, for sure.
* Cleanup and update print()
Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
2021-03-14 17:11:27 -07:00
08d4918d7f
labels.jpg class names ( #2454 )
...
* labels.png class names
* fontsize=10
2021-03-12 22:15:41 -08:00
f01f3223d5
Integer printout ( #2450 )
...
* Integer printout
* test.py 'Labels'
* Update train.py
2021-03-12 13:35:44 -08:00
e8a2b83268
GCP sudo docker userdata.sh ( #2393 )
...
* GCP sudo docker
* cleanup
2021-03-07 20:21:49 -08:00
7c2c95732c
AWS wait && echo "All tasks done." ( #2391 )
2021-03-07 20:18:30 -08:00
ba18528b47
bbox_iou() stability and speed improvements ( #2385 )
2021-03-06 13:07:34 -08:00
cd8ed3521d
image weights compatible faster random index generator v2 for mosaic augmentation ( #2383 )
...
image weights compatible faster random index generator v2 for mosaic augmentation
2021-03-05 22:58:26 -08:00
2c56ad5436
Confusion matrix background axis swap ( #2114 )
2021-03-02 16:09:52 -08:00
fab5085674
EMA bug fix 2 ( #2330 )
...
* EMA bug fix 2
* update
2021-03-01 17:13:34 -08:00
a82dce7faa
Fix labels being missed when image extension appears twice in filename ( #2300 )
2021-02-25 18:05:38 -08:00
ec1d8496ba
Improved model+EMA checkpointing ( #2292 )
...
* Enhanced model+EMA checkpointing
* update
* bug fix
* bug fix 2
* always save optimizer
* ema half
* remove model.float()
* model half
* carry ema/model in fp32
* rm model.float()
* both to float always
* cleanup
* cleanup
2021-02-24 18:26:46 -08:00
0070995bd5
Amazon AWS EC2 startup and re-startup scripts ( #2282 )
2021-02-24 01:43:59 -08:00
d5d275b6e9
Amazon AWS EC2 startup and re-startup scripts ( #2185 )
...
* Amazon AWS EC2 startup and re-startup scripts
* Create resume.py
* cleanup
2021-02-23 23:10:14 -08:00
83dc1b4484
FLOPS min stride 32 ( #2276 )
...
Signed-off-by: xiaowo1996 <429740343@qq.com>
2021-02-23 09:38:56 -08:00
6f5d6fcdaa
Robust objectness loss balancing ( #2256 )
2021-02-20 11:19:01 -08:00
c09964c27c
Update inference default to multi_label=False ( #2252 )
...
* Update inference default to multi_label=False
* bug fix
* Update plots.py
* Update plots.py
2021-02-19 15:39:09 -08:00
47faf95079
reset head
2021-02-19 15:20:41 -08:00
d2e754b67b
Add isdocker() ( #2232 )
...
* Add isdocker()
* Update general.py
* Update general.py
2021-02-16 15:58:07 -08:00
26c2e54c8f
Add check_imshow() ( #2231 )
...
* Add check_imshow()
* Update general.py
* Update general.py
2021-02-16 13:56:47 -08:00
7b833e37bf
LoadStreams() frame loss bug fix ( #2222 )
2021-02-15 11:02:20 -08:00
bdd88e1ed7
YOLOv5 Segmentation Dataloader Updates ( #2188 )
...
* Update C3 module
* Update C3 module
* Update C3 module
* Update C3 module
* update
* update
* update
* update
* update
* update
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
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* update
* update
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* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update datasets
* update
* update
* update
* update attempt_downlaod()
* merge
* merge
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* parameterize eps
* comments
* gs-multiple
* update
* max_nms implemented
* Create one_cycle() function
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* GitHub API rate limit fix
* update
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* ComputeLoss
* astuple
* epochs
* update
* update
* ComputeLoss()
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* update
* merge
* merge
* merge
* merge
* update
* update
* update
* update
* commit=tag == tags[-1]
* Update cudnn.benchmark
* update
* update
* update
* updates
* updates
* updates
* updates
* updates
* updates
* updates
* update
* update
* update
* update
* update
* mosaic9
* update
* update
* update
* update
* update
* update
* institute cache versioning
* only display on existing cache
* reverse cache exists booleans
2021-02-11 21:22:45 -08:00
a5d5f9262d
Changed socket port and added timeout ( #2176 )
2021-02-10 13:01:48 -08:00
Glenn Jocher
yeric1789
Charles Frye
Adrian Holovaty
Ayush Chaurasia
NanoCode012
r-blmnr
Michael Heilig
JoshSong
Burhan
Robin
Ben Milanko
Phat Tran
zzttqu
maxupp
Yann Defretin
Yonghye Kwon
Ryan Avery
Iden Craven
xiaowo1996
