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Tqdm progress bar error #721
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Indeed, this looks quite annoying in such an otherwise amazing CLI user experience! I'm not very familiar with the code base, but it seems that the tqdm progressbar for test/val and train has a bit different set of parameters on creation. A quick search lands on a similar issue on SO that suggests initializing tqdm with I do not exactly understand how that supposed to fix the issue, but as according to the tqdm docs |
I think this is a tqdm issue, since I've seen it across a variety of code that uses tqdm. I've mostly seen it when my terminal isn't wide enough to fit the progress bar plus all of the printed quantities. |
I am afraid that we cannot do much TQDM, I have experienced the printing bar on a new line even in other projects and it is typically when (another) process move |
I am not sure this is tqdm, as I don't use it (using my own progress bar). Slightly different circumstances - things work fine and suddenly the progress bar - trn, val or test - creates a new line on each call. My current theory is that this is an Ubuntu terminal problem - but I have yet to prove it. btw - happy to donate my prog bar code - it simply does the job of the moving bar, and takes a leadin and a leadout string to print before and after. Unicode terminals only, only tested on Ubuntu |
btw, probably similar to #330 |
#765 seems also relevant. |
I will close this in favour of #765 so pls let's continue the discussion there... 🤖 |
When running one epoch with train and val dataloader, as soon as validation is started the progressbar will create a new line for each iteration. I have this bug in pycharm as well as kaggle kernels. Below a typical example. 80% runs smoothly, as soon as validation starts a new line for each tqdm iteration is started
Selected optimization level O1: Insert automatic casts around Pytorch functions and Tensor methods.
Defaults for this optimization level are:
enabled : True
opt_level : O1
cast_model_type : None
patch_torch_functions : True
keep_batchnorm_fp32 : None
master_weights : None
loss_scale : dynamic
Processing user overrides (additional kwargs that are not None)...
After processing overrides, optimization options are:
enabled : True
opt_level : O1
cast_model_type : None
patch_torch_functions : True
keep_batchnorm_fp32 : None
master_weights : None
loss_scale : dynamic
Epoch 1: 80%|████████ | 1216/1520 [09:01<02:08, 2.36batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Validating: 0%| | 0/304 [00:00<?, ?batch/s]
Epoch 1: 80%|████████ | 1217/1520 [09:01<01:44, 2.90batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1218/1520 [09:02<01:26, 3.48batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1219/1520 [09:02<01:14, 4.05batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1220/1520 [09:02<01:05, 4.58batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1221/1520 [09:02<00:59, 5.04batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1222/1520 [09:02<00:54, 5.42batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Epoch 1: 80%|████████ | 1223/1520 [09:02<00:51, 5.72batch/s, batch_nb=1215, gpu=0, loss=0.649, train_loss=0.616, v_nb=0]
Environment
PyTorch version: 1.2.0
Is debug build: No
CUDA used to build PyTorch: 10.0.130
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: Could not collect
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration:
GPU 0: GeForce GTX 1080 Ti
GPU 1: GeForce GTX 1080 Ti
GPU 2: GeForce GTX 1080 Ti
Nvidia driver version: 418.87.00
cuDNN version: Could not collect
Versions of relevant libraries:
[pip] numpy==1.16.4
[pip] pytorch-lightning==0.5.3.2
[pip] pytorchcv==0.0.50
[pip] torch==1.2.0
[pip] torchaudio==0.3.0
[pip] torched==0.11
[pip] torchfile==0.1.0
[pip] torchvision==0.4.0
[conda] pytorch-lightning 0.5.3.2 pypi_0 pypi
[conda] pytorchcv 0.0.50 pypi_0 pypi
[conda] torch 1.2.0 pypi_0 pypi
[conda] torchaudio 0.3.0 pypi_0 pypi
[conda] torched 0.11 pypi_0 pypi
[conda] torchfile 0.1.0 pypi_0 pypi
[conda] torchvision 0.4.0 pypi_0 pypi
Additional context
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