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Fix#1576
The error was introduced by
Project-MONAI/MONAI#7180.
### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [ ] Avoid including large-size files in the PR.
- [ ] Clean up long text outputs from code cells in the notebook.
- [ ] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`
Signed-off-by: KumoLiu <yunl@nvidia.com>
boneseva
pushed a commit
to boneseva/MONAI-tutorials
that referenced
this issue
Apr 21, 2024
…I#1577)
FixProject-MONAI#1576
The error was introduced by
Project-MONAI/MONAI#7180.
### Checks
<!--- Put an `x` in all the boxes that apply, and remove the not
applicable items -->
- [ ] Avoid including large-size files in the PR.
- [ ] Clean up long text outputs from code cells in the notebook.
- [ ] For security purposes, please check the contents and remove any
sensitive info such as user names and private key.
- [ ] Ensure (1) hyperlinks and markdown anchors are working (2) use
relative paths for tutorial repo files (3) put figure and graphs in the
`./figure` folder
- [ ] Notebook runs automatically `./runner.sh -t <path to .ipynb file>`
Signed-off-by: KumoLiu <yunl@nvidia.com>
[2023-11-19T03:55:52.973Z] ---------------------------------------------------------------------------
[2023-11-19T03:55:52.973Z] Exception encountered at "In [7]":
[2023-11-19T03:55:52.973Z] ValueError Traceback (most recent call last)
[2023-11-19T03:55:52.973Z] Cell In[7], line 31
[2023-11-19T03:55:52.973Z] 17 patch_transform 241m=ompose(
[2023-11-19T03:55:52.973Z] 18 [
[2023-11-19T03:55:52.973Z] 19 SqueezeDimd(keys;5;241m=124m"38;5;124mimgm;5;124m"124m"38;5;124msegm;5;124m" dim;5;241m=38;5;241m-38;5;241m1m), 66;03m# squeeze the last dim;00m
[2023-11-19T03:55:52.973Z] (...)023-11-19T03:55:52.973Z] 23 ]
[2023-11-19T03:55:52.973Z] 24 )
[2023-11-19T03:55:52.973Z] 25 patch_ds 241m=atchDataset(
[2023-11-19T03:55:52.973Z] 26 volume_ds,
[2023-11-19T03:55:52.973Z] 27 transform;5;241m=tch_transform,
[2023-11-19T03:55:52.973Z] 28 patch_func;5;241m=tch_func,
[2023-11-19T03:55:52.973Z] 29 samples_per_image;5;241m=m_samples,
[2023-11-19T03:55:52.973Z] 30 )
[2023-11-19T03:55:52.973Z] ---> 31 train_loader 241m=taLoadermm(2023-11-19T03:55:52.973Z] 32 43mpatch_dsmm,2023-11-19T03:55:52.973Z] 33 43mbatch_sizem;5;241;43m=m;5;241;43m3;49mm,2023-11-19T03:55:52.973Z] 34 43mshufflem;5;241;43m=m;5;28;43;01mTrue;49;00mm,43m 38;5;66;43;03m# this shuffles slices from different volumes;49;00m
[2023-11-19T03:55:52.973Z] 35 43mnum_workersm;5;241;43m=m;5;241;43m2;49mm,2023-11-19T03:55:52.973Z] 36 43mpin_memorym;5;241;43m=mmtorchm;5;241;43m.mmcudam;5;241;43m.mmis_availablemm(43m)43m,2023-11-19T03:55:52.973Z] 37 2023-11-19T03:55:52.973Z] 38 check_data 241m=onai;5;241m.ils;5;241m.sc;5;241m.rst(train_loader)
[2023-11-19T03:55:52.973Z] 39 28mprintm(124m"38;5;124mfirst patchm;5;124m'38;5;124ms shape: 38;5;124m"check_data[124m"38;5;124mimgm;5;124m"241m.ape, check_data[124m"38;5;124msegm;5;124m"241m.ape)
[2023-11-19T03:55:52.973Z]
[2023-11-19T03:55:52.973Z] File /home/jenkins/agent/workspace/Monai-notebooks/MONAI/monai/data/dataloader.py:106, in DataLoader.__init__34m(self, dataset, num_workers, **kwargs)023-11-19T03:55:52.973Z] 94 28;01mif;00m (
[2023-11-19T03:55:52.973Z] 95 124m"38;5;124mmultiprocessing_contextm;5;124m"129;01min;00m kwargs
[2023-11-19T03:55:52.973Z] 96 129;01mand;00m kwargs[124m"38;5;124mmultiprocessing_contextm;5;124m"241m==124m"38;5;124mspawnm;5;124m"2023-11-19T03:55:52.973Z] 97 129;01mand;00m 129;01mnot;00m get_track_meta()
[2023-11-19T03:55:52.973Z] 98 ):
[2023-11-19T03:55:52.973Z] 99 warnings;5;241m.rn(
[2023-11-19T03:55:52.973Z] 100 124m"38;5;124mPlease be aware: Return type of the dataloader will not be a Tensor as expected butm;5;124m"2023-11-19T03:55:52.973Z] 101 124m"38;5;124m a MetaTensor instead! This is because 38;5;124m'38;5;124mspawnm;5;124m'38;5;124m creates a new process where TRACK_METAm;5;124m"2023-11-19T03:55:52.973Z] 102 124m"38;5;124m is initialized to True again. Context:TRACK_META is set to False andm;5;124m"2023-11-19T03:55:52.973Z] 103 124m"38;5;124m multiprocessing_context to spawnm;5;124m"2023-11-19T03:55:52.973Z] 104 )
[2023-11-19T03:55:52.973Z] --> 106 28;43msuper;49mm(43m)38;5;241;43m.m;5;21;43m__init;49mm(43mdatasetm;5;241;43m=mmdatasetmm,43m 43mnum_workersm;5;241;43m=mmnum_workersmm,43m 38;5;241;43mm;5;241;43mmmkwargsmm)2023-11-19T03:55:52.973Z]
[2023-11-19T03:55:52.973Z] File /usr/local/lib/python3.10/dist-packages/torch/utils/data/dataloader.py:307, in DataLoader.__init__34m(self, dataset, batch_size, shuffle, sampler, batch_sampler, num_workers, collate_fn, pin_memory, drop_last, timeout, worker_init_fn, multiprocessing_context, generator, prefetch_factor, persistent_workers, pin_memory_device)023-11-19T03:55:52.973Z] 305 66;03m# We cannot check
shuffle is not None
here, since previouslyshuffle=False
was the default.m[2023-11-19T03:55:52.974Z] 306 28;01melif;00m shuffle 129;01mnot;00m 129;01min;00m {28;01mFalse;00m, 28;01mNone;00m}:
[2023-11-19T03:55:52.974Z] --> 307 28;01mraise;00m 167;01mValueError;00m(
[2023-11-19T03:55:52.974Z] 308 124m"38;5;124mDataLoader with IterableDataset: expected unspecified 38;5;124m"2023-11-19T03:55:52.974Z] 309 124m"38;5;124mshuffle option, but got shuffle=38;5;132;01m{}m;5;124m"38;5;241m.rmat(shuffle))
[2023-11-19T03:55:52.974Z] 311 28;01mif;00m sampler 129;01mis;00m 129;01mnot;00m 28;01mNone;00m:
[2023-11-19T03:55:52.974Z] 312 66;03m# See NOTE [ Custom Samplers and IterableDataset ]m
[2023-11-19T03:55:52.974Z] 313 28;01mraise;00m 167;01mValueError;00m(
[2023-11-19T03:55:52.974Z] 314 124m"38;5;124mDataLoader with IterableDataset: expected unspecified 38;5;124m"2023-11-19T03:55:52.974Z] 315 124m"38;5;124msampler option, but got sampler=38;5;132;01m{}m;5;124m"38;5;241m.rmat(sampler))
[2023-11-19T03:55:52.974Z]
[2023-11-19T03:55:52.974Z] ValueError: DataLoader with IterableDataset: expected unspecified shuffle option, but got shuffle=True
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