New issue appeared today during running train.py file

[abirsince92]

Got the error during running the train.py file:

Transferred 308/361 items from yolov5s.pt
Scaled weight_decay = 0.0005
optimizer: Adam with parameter groups 59 weight (no decay), 62 weight, 62 bias
albumentations: Blur(always_apply=False, p=0.01, blur_limit=(3, 7)), MedianBlur(always_apply=False, p=0.01, blur_limit=(3, 7)), ToGray(always_apply=False, p=0.01), CLAHE(always_apply=False, p=0.01, clip_limit=(1, 4.0), tile_grid_size=(8, 8))
train: Scanning '/content/data/train/labels' images and labels...11402 found, 0 missing, 0 empty, 0 corrupt: 100% 11402/11402 [00:22<00:00, 502.88it/s]
train: New cache created: /content/data/train/labels.cache
val: Scanning '/content/data/val/labels' images and labels...3801 found, 0 missing, 0 empty, 0 corrupt: 100% 3801/3801 [00:08<00:00, 472.10it/s]
val: New cache created: /content/data/val/labels.cache
[W pthreadpool-cpp.cc:90] Warning: Leaking Caffe2 thread-pool after fork. (function pthreadpool)
[W pthreadpool-cpp.cc:90] Warning: Leaking Caffe2 thread-pool after fork. (function pthreadpool)
[W pthreadpool-cpp.cc:90] Warning: Leaking Caffe2 thread-pool after fork. (function pthreadpool)
[W pthreadpool-cpp.cc:90] Warning: Leaking Caffe2 thread-pool after fork. (function pthreadpool)
Plotting labels to runs/train/exp/labels.jpg...

AutoAnchor: 4.46 anchors/target, 1.000 Best Possible Recall (BPR). Current anchors are a good fit to dataset ✅
Image sizes 640 train, 640 val
Using 4 dataloader workers
Logging results to runs/train/exp
Starting training for 30 epochs...
Traceback (most recent call last):
File "train.py", line 745, in
main(opt)
File "train.py", line 641, in main
train(opt.hyp, opt, device, callbacks)
File "train.py", line 336, in train
sparseml_wrapper.initialize_loggers(loggers.logger, loggers.tb, loggers.wandb)
File "/content/yolov5-deepsparse-blogpost/yolov5-train/utils/sparse.py", line 97, in initialize_loggers
SparsificationGroupLogger(
File "/usr/local/lib/python3.8/dist-packages/sparseml/pytorch/utils/logger.py", line 630, in init
TensorBoardLogger(
File "/usr/local/lib/python3.8/dist-packages/sparseml/pytorch/utils/logger.py", line 443, in init
raise tensorboard_import_error
File "/usr/local/lib/python3.8/dist-packages/sparseml/pytorch/utils/logger.py", line 30, in
from torch.utils.tensorboard import SummaryWriter
File "/usr/local/lib/python3.8/dist-packages/torch/utils/tensorboard/init.py", line 4, in
LooseVersion = distutils.version.LooseVersion
AttributeError: module 'distutils' has no attribute 'version'

[dnth]

@abirsince92 have you tried running it on Colab? How do I produce this error on my machine?

[abirsince92]

Sir,
Today I got this error on Colab notebook after running the train.py file, yesterday it was fine...