Annoying Bug

[Utkarsha666]

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Bug

OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
train: Scanning D:\Computer Vision\fall\labels... 1100 images, 106 backgrounds, 0 corrupt: 98%|█████████▊| 1206/1232 [Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch_init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch_init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch_init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch_init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
train: Scanning D:\Computer Vision\fall\labels... 1126 images, 106 backgrounds, 0 corrupt: 100%|██████████| 1232/1232 [
train: WARNING D:\Computer Vision\fall\images\057.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\067.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\078.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\094.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\132.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\138.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\183.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\193.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\254.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\264.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\266.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\300.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\images\307.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\057.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\067.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\078.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\094.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\132.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\138.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\183.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\193.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\254.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\264.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\266.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\300.jpg: corrupt JPEG restored and saved
train: WARNING D:\Computer Vision\fall\val_fall\images\307.jpg: corrupt JPEG restored and saved
train: New cache created: D:\Computer Vision\fall\labels.cache
Traceback (most recent call last):
File "", line 1, in
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
exitcode = _main(fd, parent_sentinel)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
prepare(preparation_data)
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
_fixup_main_from_path(data['init_main_from_path'])
File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
main_content = runpy.run_path(main_path,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
return _run_module_code(code, init_globals, run_name,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
_run_code(code, mod_globals, init_globals,
File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "D:\Computer Vision\yolov5\train.py", line 30, in
import torch
File "D:\anaconda3\envs\yolov5\lib\site-packages\torch_init.py", line 124, in
raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.

Environment

• YOLOv5
• Python 3.9.10
• pytorch '1.9.0+cu111'
• torchvision '0.10.0+cu111'
• CUDA 11.2
• GPU GTX 1650 Windows 10
• System RAM: 8GB Ram

Minimal Reproducible Example

python "D:/Computer Vision/yolov5/train.py" --img 640 --batch 4 --epochs 3 --data data.yaml --weights yolov5s.pt --img 640 --batch 4 --epochs 3 --data data.yaml --weights yolov5s.ptt

Additional

I tried reducing image size to 128, reduced batch_size to 4 still the same error. I can't even do keyboard interrupt while the console is throwing a error message.

I have checked if my torch is using GPU or not by using the following:-

>>>import torch 
>>> torch.__version__
'1.9.0+cu111'
>>> import torchvision
>>> torchvision.__version__
'0.10.0+cu111'
>>> torch.cuda.get_device_name(0)
'NVIDIA GeForce GTX 1650'

Are you willing to submit a PR?

• Yes I'd like to help by submitting a PR!

[github-actions]

👋 Hello @Utkarsha666, thank you for your interest in YOLOv5 🚀! Please visit our ⭐️ Tutorials to get started, where you can find quickstart guides for simple tasks like Custom Data Training all the way to advanced concepts like Hyperparameter Evolution.

If this is a 🐛 Bug Report, please provide a minimum reproducible example to help us debug it.

If this is a custom training ❓ Question, please provide as much information as possible, including dataset image examples and training logs, and verify you are following our Tips for Best Training Results.

Requirements

Python>=3.7.0 with all requirements.txt installed including PyTorch>=1.7. To get started:

git clone https://github.com/ultralytics/yolov5  # clone
cd yolov5
pip install -r requirements.txt  # install

Environments

YOLOv5 may be run in any of the following up-to-date verified environments (with all dependencies including CUDA/CUDNN, Python and PyTorch preinstalled):

• Notebooks with free GPU:
• Google Cloud Deep Learning VM. See GCP Quickstart Guide
• Amazon Deep Learning AMI. See AWS Quickstart Guide
• Docker Image. See Docker Quickstart Guide

Status

If this badge is green, all YOLOv5 GitHub Actions Continuous Integration (CI) tests are currently passing. CI tests verify correct operation of YOLOv5 training, validation, inference, export and benchmarks on macOS, Windows, and Ubuntu every 24 hours and on every commit.

Introducing YOLOv8 🚀

We're excited to announce the launch of our latest state-of-the-art (SOTA) object detection model for 2023 - YOLOv8 🚀!

Designed to be fast, accurate, and easy to use, YOLOv8 is an ideal choice for a wide range of object detection, image segmentation and image classification tasks. With YOLOv8, you'll be able to quickly and accurately detect objects in real-time, streamline your workflows, and achieve new levels of accuracy in your projects.

Check out our YOLOv8 Docs for details and get started with:

pip install ultralytics

[Utkarsha666]

previously, on my other datasets I was able to train successful with the Gradient warning, but now while training on that data with the command is also giving a same error.

python "D:/Computer Vision/yolov5/train.py" --img 640 --batch 4 --epochs 3
 --data data.yaml --weights yolov5s.pt

here is a small part of log message;

hyperparameters: lr0=0.01, lrf=0.01, momentum=0.937, weight_decay=0.0005, warmup_epochs=3.0, warmup_momentum=0.8, warmup_bias_lr=0.1, box=0.05, cls=0.5, cls_pw=1.0, obj=1.0, obj_pw=1.0, iou_t=0.2, anchor_t=4.0, fl_gamma=0.0, hsv_h=0.015, hsv_s=0.7, hsv_v=0.4, degrees=0.0, translate=0.1, scale=0.5, shear=0.0, perspective=0.0, flipud=0.0, fliplr=0.5, mosaic=1.0, mixup=0.0, copy_paste=0.0
ClearML: run 'pip install clearml' to automatically track, visualize and remotely train YOLOv5  in ClearML
Comet: run 'pip install comet_ml' to automatically track and visualize YOLOv5  runs in Comet
TensorBoard: Start with 'tensorboard --logdir ..\yolov5\runs\train', view at http://localhost:6006/
Overriding model.yaml nc=80 with nc=1

                 from  n    params  module                                  arguments
  0                -1  1      3520  models.common.Conv                      [3, 32, 6, 2, 2]
  1                -1  1     18560  models.common.Conv                      [32, 64, 3, 2]
  2                -1  1     18816  models.common.C3                        [64, 64, 1]
  3                -1  1     73984  models.common.Conv                      [64, 128, 3, 2]
  4                -1  2    115712  models.common.C3                        [128, 128, 2]
  5                -1  1    295424  models.common.Conv                      [128, 256, 3, 2]
  6                -1  3    625152  models.common.C3                        [256, 256, 3]
  7                -1  1   1180672  models.common.Conv                      [256, 512, 3, 2]
  8                -1  1   1182720  models.common.C3                        [512, 512, 1]
  9                -1  1    656896  models.common.SPPF                      [512, 512, 5]
 10                -1  1    131584  models.common.Conv                      [512, 256, 1, 1]
 11                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']
 12           [-1, 6]  1         0  models.common.Concat                    [1]
 13                -1  1    361984  models.common.C3                        [512, 256, 1, False]
 14                -1  1     33024  models.common.Conv                      [256, 128, 1, 1]
 15                -1  1         0  torch.nn.modules.upsampling.Upsample    [None, 2, 'nearest']
 16           [-1, 4]  1         0  models.common.Concat                    [1]
 17                -1  1     90880  models.common.C3                        [256, 128, 1, False]
 18                -1  1    147712  models.common.Conv                      [128, 128, 3, 2]
 19          [-1, 14]  1         0  models.common.Concat                    [1]
 20                -1  1    296448  models.common.C3                        [256, 256, 1, False]
 21                -1  1    590336  models.common.Conv                      [256, 256, 3, 2]
 22          [-1, 10]  1         0  models.common.Concat                    [1]
 23                -1  1   1182720  models.common.C3                        [512, 512, 1, False]
 24      [17, 20, 23]  1     16182  models.yolo.Detect                      [1, [[10, 13, 16, 30, 33, 23], [30, 61, 62, 45, 59, 119], [116, 90, 156, 198, 373, 326]], [128, 256, 512]]
Model summary: 214 layers, 7022326 parameters, 7022326 gradients, 15.9 GFLOPs

Transferred 343/349 items from yolov5s.pt
AMP: checks passed
optimizer: SGD(lr=0.01) with parameter groups 57 weight(decay=0.0), 60 weight(decay=0.0005), 60 bias
train: Scanning D:\Vision\Yolo detection\drone_dataset\train\labels...:   0%|          | 0/1012 [00:00<?, ?it/s]Traceback (most recent call last):
  File "<string>", line 1, in <module>
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
Traceback (most recent call last):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
Traceback (most recent call last):
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    _fixup_main_from_path(data['init_main_from_path'])
    _fixup_main_from_path(data['init_main_from_path'])
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    main_content = runpy.run_path(main_path,
    return _run_module_code(code, init_globals, run_name,
    return _run_module_code(code, init_globals, run_name,
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    exec(code, run_globals)
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    _run_code(code, mod_globals, init_globals,
    exec(code, run_globals)
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    import torch
    raise err
    exec(code, run_globals)
    raise err
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_cnn_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
Traceback (most recent call last):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    return _run_module_code(code, init_globals, run_name,
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    raise err
    raise err
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\cudnn_adv_infer64_8.dll" or one of its dependencies.
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    return _run_module_code(code, init_globals, run_name,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 97, in _run_module_code
    _run_code(code, mod_globals, init_globals,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 87, in _run_code
    exec(code, run_globals)
  File "D:\Computer Vision\yolov5\train.py", line 30, in <module>
    import torch
  File "D:\anaconda3\envs\yolov5\lib\site-packages\torch\__init__.py", line 124, in <module>
    raise err
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.
Traceback (most recent call last):
Traceback (most recent call last):
Traceback (most recent call last):
Traceback (most recent call last):
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "<string>", line 1, in <module>
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 116, in spawn_main
    exitcode = _main(fd, parent_sentinel)
    exitcode = _main(fd, parent_sentinel)
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    exitcode = _main(fd, parent_sentinel)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 125, in _main
    prepare(preparation_data)
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    prepare(preparation_data)
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 236, in prepare
    _fixup_main_from_path(data['init_main_from_path'])
    _fixup_main_from_path(data['init_main_from_path'])
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    _fixup_main_from_path(data['init_main_from_path'])
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
  File "D:\anaconda3\envs\yolov5\lib\multiprocessing\spawn.py", line 287, in _fixup_main_from_path
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    main_content = runpy.run_path(main_path,
    main_content = runpy.run_path(main_path,
  File "D:\anaconda3\envs\yolov5\lib\runpy.py", line 288, in run_path
    main_content = runpy.run_path(main_path,
-----------------------------------------------------------------------------------------------------------------------------------
OSError: [WinError 1455] The paging file is too small for this operation to complete. Error loading "D:\anaconda3\envs\yolov5\lib\site-packages\torch\lib\caffe2_detectron_ops_gpu.dll" or one of its dependencies.

[github-actions]

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[glenn-jocher]

@Utkarsha666 it looks like you are encountering an error related to the paging file size on Windows. This issue is typically caused by insufficient virtual memory. You can try increasing the size of your paging file to see if it resolves the problem. Additionally, make sure you have enough free space on your disk where the paging file is located.

You can follow these steps to adjust the paging file size:

1. Open the Control Panel and go to "System and Security" > "System" > "Advanced system settings".
2. In the System Properties window, go to the Advanced tab and click on "Settings" under the Performance section.
3. In the Performance Options window, go to the Advanced tab and click on "Change" under the Virtual memory section.
4. Uncheck "Automatically manage paging file size for all drives" and select the drive where you want to adjust the paging file size.
5. Choose "Custom size" and set the initial size and maximum size based on your system requirements. A common recommendation is to set the initial and maximum size to at least 1.5 times the size of your physical RAM.

After adjusting the paging file size, reboot your system for the changes to take effect and then try running your YOLOv5 training command again.

Let me know if this helps! If you encounter any further issues, feel free to ask for assistance.