Pin memory issue during training.

[ajeetkverma]

while training on single gpu, getting pin memory thread exited. it is happening after on round of train/val. I have made it to validate on 10 iters, so that this issue can be captured within time. please suggest the possible reasons for it. error snap is given below.....

2024-07-14 13:56:04,122 - mmedit - INFO - Checkpoints will be saved to /home/ubuntu/Desktop/RealBasicVSR/experiments/realbasicvsr_c64b20_1x30x8_lr5e-5_150k_reds by HardDiskBackend. 2024-07-14 13:56:04.586294: I tensorflow/core/util/port.cc:110] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable TF_ENABLE_ONEDNN_OPTS=0. 2024-07-14 13:56:04.636049: I tensorflow/core/platform/cpu_feature_guard.cc:182] This TensorFlow binary is optimized to use available CPU instructions in performance-critical operations. To enable the following instructions: AVX2 AVX512F AVX512_VNNI FMA, in other operations, rebuild TensorFlow with the appropriate compiler flags. 2024-07-14 13:56:05.362593: W tensorflow/compiler/tf2tensorrt/utils/py_utils.cc:38] TF-TRT Warning: Could not find TensorRT /home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/torch/nn/functional.py:3103: UserWarning: The default behavior for interpolate/upsample with float scale_factor changed in 1.6.0 to align with other frameworks/libraries, and now uses scale_factor directly, instead of relying on the computed output size. If you wish to restore the old behavior, please set recompute_scale_factor=True. See the documentation of nn.Upsample for details. warnings.warn("The default behavior for interpolate/upsample with float scale_factor changed " 2024-07-14 13:56:32,710 - mmedit - INFO - Saving checkpoint at 10 iterations 1/1, 0.0 task/s, elapsed: 28s, ETA: 0s2024-07-14 13:57:02,335 - mmedit - INFO - Iter(val) [10] PSNR: 27.7156 2024-07-14 13:57:02,337 - mmedit - INFO - Iter(val) [10] 2024-07-14 13:57:23,808 - mmedit - INFO - Saving checkpoint at 20 iterations [ ] 0/1, elapsed: 0s, ETA:Exception in thread Thread-3: Traceback (most recent call last): File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/threading.py", line 932, in _bootstrap_inner self.run() File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/threading.py", line 870, in run self._target(*self._args, **self._kwargs) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/torch/utils/data/_utils/pin_memory.py", line 28, in _pin_memory_loop idx, data = r ValueError: not enough values to unpack (expected 2, got 0) Traceback (most recent call last): File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/.mim/tools/train.py", line 171, in main() File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/.mim/tools/train.py", line 160, in main train_model( File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/apis/train.py", line 107, in train_model _non_dist_train( File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/apis/train.py", line 363, in _non_dist_train runner.run(data_loaders, cfg.workflow, cfg.total_iters) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmcv/runner/iter_based_runner.py", line 144, in run iter_runner(iter_loaders[i], **kwargs) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmcv/runner/iter_based_runner.py", line 70, in train self.call_hook('after_train_iter') File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmcv/runner/base_runner.py", line 317, in call_hook getattr(hook, fn_name)(self) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/core/evaluation/eval_hooks.py", line 42, in after_train_iter results = single_gpu_test( File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/apis/test.py", line 41, in single_gpu_test for data in data_loader: File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 349, in iter self._iterator._reset(self) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 852, in _reset data = self._get_data() File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/torch/utils/data/dataloader.py", line 1029, in _get_data raise RuntimeError('Pin memory thread exited unexpectedly') RuntimeError: Pin memory thread exited unexpectedly Traceback (most recent call last): File "/home/ubuntu/anaconda3/envs/rbvsr/bin/mim", line 8, in sys.exit(cli()) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/click/core.py", line 1157, in call return self.main(*args, **kwargs) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/click/core.py", line 1078, in main rv = self.invoke(ctx) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/click/core.py", line 1688, in invoke return _process_result(sub_ctx.command.invoke(sub_ctx)) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/click/core.py", line 1434, in invoke return ctx.invoke(self.callback, **ctx.params) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/click/core.py", line 783, in invoke return __callback(*args, **kwargs) File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mim/commands/train.py", line 100, in cli is_success, msg = train( File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mim/commands/train.py", line 261, in train ret = subprocess.check_call( File "/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/subprocess.py", line 364, in check_call raise CalledProcessError(retcode, cmd) subprocess.CalledProcessError: Command '['/home/ubuntu/anaconda3/envs/rbvsr/bin/python', '/home/ubuntu/anaconda3/envs/rbvsr/lib/python3.8/site-packages/mmedit/.mim/tools/train.py', 'configs/realbasicvsr_c64b20_1x30x8_lr5e-5_150k_reds.py', '--launcher', 'none', '--gpus', '1']' returned non-zero exit status 1.