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kk42yy / DeMoSeg

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CUDA error: device-side assert triggered #1

Open cyj1208 opened 1 month ago

cyj1208 commented 1 month ago

在运行Train_DeMoSeg时发生以下报错： ../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:365: operator(): block: [1779,0,0], thread: [75,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed. ../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:365: operator(): block: [1779,0,0], thread: [76,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed. ../aten/src/ATen/native/cuda/ScatterGatherKernel.cu:365: operator(): block: [5251,0,0], thread: [127,0,0] Assertion idx_dim >= 0 && idx_dim < index_size && "index out of bounds" failed. 0%| | 0/5 [00:13<?, ?it/s] Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/Train_DeMoSeg.py", line 13, in demoseg_trainer.run_train() File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/trainer/DeMoSeg_Trainer.py", line 191, in run_train epoch_loss[idx] = self.training_epoch(next(self.train_loader)) File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/trainer/BaseTrainer.py", line 299, in training_epoch l = self.loss(output, lbl) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, kwargs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, *kwargs) File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/loss/loss_scheduler.py", line 41, in forward l = weights[0] self.loss(inputs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(args, kwargs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(*args, kwargs) File "/root/miniconda3/lib/python3.10/site-packages/monai/losses/dice.py", line 800, in forward dice_loss = self.dice(input, target) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1518, in _wrapped_call_impl return self._call_impl(*args, *kwargs) File "/root/miniconda3/lib/python3.10/site-packages/torch/nn/modules/module.py", line 1527, in _call_impl return forward_call(args, kwargs) File "/root/miniconda3/lib/python3.10/site-packages/monai/losses/dice.py", line 158, in forward target = one_hot(target, num_classes=n_pred_ch) File "/root/miniconda3/lib/python3.10/site-packages/monai/networks/utils.py", line 192, in onehot labels = o.scatter(dim=dim, index=labels.long(), value=1) RuntimeError: CUDA error: device-side assert triggered Compile with TORCH_USE_CUDA_DSA to enable device-side assertions. 这个错误该如何解决呢？

kk42yy commented 1 month ago

可能是环境配置造成的，我们基于python3.8开发的DeMoSeg，请参照ReadMe文件进行环境配置，确保每个库的版本一致。

cyj1208 commented 1 month ago

在改正上面的错误后，我又遇到了问题，希望能得到您的指导： 2024-09-23 18:43:53,768 - Epoch: 0, current lr: 0.01 0%| | 0/5 [00:00<?, ?it/s]Exception in background worker 1: applying transform <monai.transforms.compose.Compose object at 0x7f4276f21c40> Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) TypeError: 'list' object is not callable

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 50, in producer item_b = apply_transform(transform, item_b) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform [<monai.transforms.compose.Compose object at 0x7f4276f21c40>, Compose ( [SpatialTransform( independent_scale_for_each_axis = False, p_rot_per_sample = 0.2, p_scale_per_sample = 0.2, p_el_per_sample = 0, data_key = 'data', label_key = 'seg', patch_size = [128, 128, 128], patch_center_dist_from_border = None, do_elastic_deform = False, alpha = (0, 0), sigma = (0, 0), do_rotation = True, angle_x = (-0.5235987755982988, 0.5235987755982988), angle_y = (-0.5235987755982988, 0.5235987755982988), angle_z = (-0.5235987755982988, 0.5235987755982988), do_scale = True, scale = (0.7, 1.4), border_mode_data = 'constant', border_cval_data = 0, order_data = 3, border_mode_seg = 'constant', border_cval_seg = -1, order_seg = 1, random_crop = False, p_rot_per_axis = 1, p_independent_scale_per_axis = 1 ), GaussianNoiseTransform( p_per_sample = 0.1, data_key = 'data', noise_variance = (0, 0.1), p_per_channel = 1, per_channel = False ), GaussianBlurTransform( p_per_sample = 0.2, different_sigma_per_channel = True, p_per_channel = 0.5, data_key = 'data', blur_sigma = (0.5, 1.0), different_sigma_per_axis = False, p_isotropic = 0 ), BrightnessMultiplicativeTransform( p_per_sample = 0.15, data_key = 'data', multiplier_range = (0.75, 1.25), per_channel = True ), ContrastAugmentationTransform( p_per_sample = 0.15, data_key = 'data', contrast_range = (0.75, 1.25), preserve_range = True, per_channel = True, p_per_channel = 1 ), SimulateLowResolutionTransform( order_upsample = 3, order_downsample = 0, channels = None, per_channel = True, p_per_channel = 0.5, p_per_sample = 0.25, data_key = 'data', zoom_range = (0.5, 1), ignore_axes = None ), GammaTransform( p_per_sample = 0.1, retain_stats = True, per_channel = True, data_key = 'data', gamma_range = (0.7, 1.5), invert_image = True ), GammaTransform( p_per_sample = 0.3, retain_stats = True, per_channel = True, data_key = 'data', gamma_range = (0.7, 1.5), invert_image = False ), MirrorTransform( p_per_sample = 1, data_key = 'data', label_key = 'seg', axes = (0, 1, 2) ), MaskTransform( apply_to_channels = [0, 1, 2, 3], seg_key = 'seg', data_key = 'data', set_outside_to = 0, mask_idx_in_seg = 0 ), RemoveLabelTransform( output_key = 'seg', input_key = 'seg', replace_with = 0, remove_label = -1 ), RenameTransform( delete_old = True, out_key = 'label', in_key = 'seg' ), RenameTransform( delete_old = True, out_key = 'image', in_key = 'data' ), NumpyToTensor( keys = ['image', 'label'], cast_to = 'float' )] )]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/io/dictionary.py", line 162, in call data = self._loader(d[key], reader) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/io/array.py", line 274, in call raise RuntimeError( RuntimeError: LoadImage cannot find a suitable reader for file: ('/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0000.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0001.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0002.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0003.nii.gz'). Please install the reader libraries, see also the installation instructions: https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies. The current registered: [<monai.data.image_reader.NumpyReader object at 0x7f4276f21100>, <monai.data.image_reader.PILReader object at 0x7f4276f21430>].

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/compose.py", line 335, in call result = execute_compose( File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/compose.py", line 111, in execute_compose data = apply_transform( File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform <monai.transforms.io.dictionary.LoadImaged object at 0x7f444180d310>

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 65, in producer item_b = apply_transform(monai_trans, item_b) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform <monai.transforms.compose.Compose object at 0x7f4276f21c40> Exception in background worker 0: applying transform <monai.transforms.compose.Compose object at 0x7f4276f21c40> Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) TypeError: 'list' object is not callable

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 50, in producer item_b = apply_transform(transform, item_b) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform [<monai.transforms.compose.Compose object at 0x7f4276f21c40>, Compose ( [SpatialTransform( independent_scale_for_each_axis = False, p_rot_per_sample = 0.2, p_scale_per_sample = 0.2, p_el_per_sample = 0, data_key = 'data', label_key = 'seg', patch_size = [128, 128, 128], patch_center_dist_from_border = None, do_elastic_deform = False, alpha = (0, 0), sigma = (0, 0), do_rotation = True, angle_x = (-0.5235987755982988, 0.5235987755982988), angle_y = (-0.5235987755982988, 0.5235987755982988), angle_z = (-0.5235987755982988, 0.5235987755982988), do_scale = True, scale = (0.7, 1.4), border_mode_data = 'constant', border_cval_data = 0, order_data = 3, border_mode_seg = 'constant', border_cval_seg = -1, order_seg = 1, random_crop = False, p_rot_per_axis = 1, p_independent_scale_per_axis = 1 ), GaussianNoiseTransform( p_per_sample = 0.1, data_key = 'data', noise_variance = (0, 0.1), p_per_channel = 1, per_channel = False ), GaussianBlurTransform( p_per_sample = 0.2, different_sigma_per_channel = True, p_per_channel = 0.5, data_key = 'data', blur_sigma = (0.5, 1.0), different_sigma_per_axis = False, p_isotropic = 0 ), BrightnessMultiplicativeTransform( p_per_sample = 0.15, data_key = 'data', multiplier_range = (0.75, 1.25), per_channel = True ), ContrastAugmentationTransform( p_per_sample = 0.15, data_key = 'data', contrast_range = (0.75, 1.25), preserve_range = True, per_channel = True, p_per_channel = 1 ), SimulateLowResolutionTransform( order_upsample = 3, order_downsample = 0, channels = None, per_channel = True, p_per_channel = 0.5, p_per_sample = 0.25, data_key = 'data', zoom_range = (0.5, 1), ignore_axes = None ), GammaTransform( p_per_sample = 0.1, retain_stats = True, per_channel = True, data_key = 'data', gamma_range = (0.7, 1.5), invert_image = True ), GammaTransform( p_per_sample = 0.3, retain_stats = True, per_channel = True, data_key = 'data', gamma_range = (0.7, 1.5), invert_image = False ), MirrorTransform( p_per_sample = 1, data_key = 'data', label_key = 'seg', axes = (0, 1, 2) ), MaskTransform( apply_to_channels = [0, 1, 2, 3], seg_key = 'seg', data_key = 'data', set_outside_to = 0, mask_idx_in_seg = 0 ), RemoveLabelTransform( output_key = 'seg', input_key = 'seg', replace_with = 0, remove_label = -1 ), RenameTransform( delete_old = True, out_key = 'label', in_key = 'seg' ), RenameTransform( delete_old = True, out_key = 'image', in_key = 'data' ), NumpyToTensor( keys = ['image', 'label'], cast_to = 'float' )] )]

During handling of the above exception, another exception occurred:

Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/io/dictionary.py", line 162, in call data = self._loader(d[key], reader) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/io/array.py", line 274, in call raise RuntimeError( RuntimeError: LoadImage cannot find a suitable reader for file: ('/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0000.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0001.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0002.nii.gz', '/root/autodl-tmp/DeMoSeg-main/DeMoSeg/DataAndOutput/Dataset/DataFile/BraTS2018/imagesTr/Brats18_CBICA_ABB_1_0003.nii.gz'). Please install the reader libraries, see also the installation instructions: https://docs.monai.io/en/latest/installation.html#installing-the-recommended-dependencies. The current registered: [<monai.data.image_reader.NumpyReader object at 0x7f4276f21100>, <monai.data.image_reader.PILReader object at 0x7f4276f21430>].

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 141, in apply_transform return _apply_transform(transform, data, unpack_items, lazy, overrides, log_stats) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 98, in _apply_transform return transform(data, lazy=lazy) if isinstance(transform, LazyTrait) else transform(data) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/compose.py", line 335, in call result = execute_compose( File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/compose.py", line 111, in execute_compose data = apply_transform( File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform <monai.transforms.io.dictionary.LoadImaged object at 0x7f444180d310>

The above exception was the direct cause of the following exception:

Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 65, in producer item_b = apply_transform(monai_trans, item_b) File "/root/miniconda3/lib/python3.8/site-packages/monai/transforms/transform.py", line 171, in apply_transform raise RuntimeError(f"applying transform {transform}") from e RuntimeError: applying transform <monai.transforms.compose.Compose object at 0x7f4276f21c40> using pin_memory on device 0 0%| | 0/5 [00:00<?, ?it/s] Traceback (most recent call last): File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/Train_DeMoSeg.py", line 13, in demoseg_trainer.run_train() File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/trainer/DeMoSeg_Trainer.py", line 192, in run_train epoch_loss[idx] = self.training_epoch(next(self.train_loader)) File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 205, in next item = self.get_next_item() File "/root/autodl-tmp/DeMoSeg-main/DeMoSeg/training/dataloader/MultiThreadDataLoader.py", line 190, in get_next_item raise RuntimeError("One or more background workers are no longer alive. Exiting. Please check the " RuntimeError: One or more background workers are no longer alive. Exiting. Please check the print statements above for the actual error message

Process finished with exit code 1

kk42yy commented 1 month ago

方便把你的conda list贴一下吗

cyj1208 commented 1 month ago

万分感谢，以下是我的conda list：

Name Version Build Channel

_libgcc_mutex 0.1 main defaults _openmp_mutex 4.5 1_gnu defaults absl-py 1.4.0 pypi_0 pypi aiofiles 22.1.0 pypi_0 pypi aiosqlite 0.18.0 pypi_0 pypi anyio 3.6.2 pypi_0 pypi argon2-cffi 21.3.0 pypi_0 pypi argon2-cffi-bindings 21.2.0 pypi_0 pypi argparse 1.4.0 pypi_0 pypi arrow 1.2.3 pypi_0 pypi asttokens 2.2.1 pypi_0 pypi attrs 22.2.0 pypi_0 pypi babel 2.12.1 pypi_0 pypi backcall 0.2.0 pypi_0 pypi batchgenerators 0.25 pypi_0 pypi beautifulsoup4 4.11.2 pypi_0 pypi bleach 6.0.0 pypi_0 pypi brotlipy 0.7.0 py38h27cfd23_1003 defaults ca-certificates 2021.7.5 h06a4308_1 defaults cachetools 5.3.0 pypi_0 pypi certifi 2021.5.30 py38h06a4308_0 defaults cffi 1.14.6 py38h400218f_0 defaults chardet 4.0.0 py38h06a4308_1003 defaults charset-normalizer 3.1.0 pypi_0 pypi cmake 3.26.0 pypi_0 pypi comm 0.1.2 pypi_0 pypi conda 4.10.3 py38h06a4308_0 defaults conda-package-handling 1.7.3 py38h27cfd23_1 defaults contourpy 1.0.7 pypi_0 pypi cryptography 3.4.7 py38hd23ed53_0 defaults cycler 0.11.0 pypi_0 pypi debugpy 1.6.6 pypi_0 pypi decorator 5.1.1 pypi_0 pypi defusedxml 0.7.1 pypi_0 pypi executing 1.2.0 pypi_0 pypi fastjsonschema 2.16.3 pypi_0 pypi filelock 3.10.0 pypi_0 pypi fonttools 4.39.0 pypi_0 pypi fqdn 1.5.1 pypi_0 pypi future 1.0.0 pypi_0 pypi google-auth 2.16.2 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi grpcio 1.51.3 pypi_0 pypi idna 2.10 pyhd3eb1b0_0 defaults imageio 2.35.1 pypi_0 pypi importlib-metadata 6.0.0 pypi_0 pypi importlib-resources 5.12.0 pypi_0 pypi ipykernel 6.21.3 pypi_0 pypi ipython 8.11.0 pypi_0 pypi ipython-genutils 0.2.0 pypi_0 pypi ipywidgets 8.0.4 pypi_0 pypi isoduration 20.11.0 pypi_0 pypi jedi 0.18.2 pypi_0 pypi jinja2 3.1.2 pypi_0 pypi joblib 1.4.2 pypi_0 pypi json5 0.9.11 pypi_0 pypi jsonpointer 2.3 pypi_0 pypi jsonschema 4.17.3 pypi_0 pypi jupyter-client 8.0.3 pypi_0 pypi jupyter-core 5.2.0 pypi_0 pypi jupyter-events 0.6.3 pypi_0 pypi jupyter-server 2.4.0 pypi_0 pypi jupyter-server-fileid 0.8.0 pypi_0 pypi jupyter-server-terminals 0.4.4 pypi_0 pypi jupyter-server-ydoc 0.6.1 pypi_0 pypi jupyter-ydoc 0.2.3 pypi_0 pypi jupyterlab 3.6.1 pypi_0 pypi jupyterlab-language-pack-zh-cn 3.6.post0 pypi_0 pypi jupyterlab-pygments 0.2.2 pypi_0 pypi jupyterlab-server 2.20.0 pypi_0 pypi jupyterlab-widgets 3.0.5 pypi_0 pypi kiwisolver 1.4.4 pypi_0 pypi lazy-loader 0.4 pypi_0 pypi ld_impl_linux-64 2.35.1 h7274673_9 defaults libffi 3.3 he6710b0_2 defaults libgcc-ng 9.3.0 h5101ec6_17 defaults libgomp 9.3.0 h5101ec6_17 defaults libstdcxx-ng 9.3.0 hd4cf53a_17 defaults linecache2 1.0.0 pypi_0 pypi lit 15.0.7 pypi_0 pypi markdown 3.4.1 pypi_0 pypi markupsafe 2.1.2 pypi_0 pypi matplotlib 3.7.1 pypi_0 pypi matplotlib-inline 0.1.6 pypi_0 pypi mistune 2.0.5 pypi_0 pypi monai 1.3.2 pypi_0 pypi mpmath 1.3.0 pypi_0 pypi nbclassic 0.5.3 pypi_0 pypi nbclient 0.7.2 pypi_0 pypi nbconvert 7.2.10 pypi_0 pypi nbformat 5.7.3 pypi_0 pypi ncurses 6.2 he6710b0_1 defaults nest-asyncio 1.5.6 pypi_0 pypi networkx 3.0 pypi_0 pypi notebook 6.5.3 pypi_0 pypi notebook-shim 0.2.2 pypi_0 pypi numpy 1.24.2 pypi_0 pypi oauthlib 3.2.2 pypi_0 pypi openssl 1.1.1k h27cfd23_0 defaults packaging 23.0 pypi_0 pypi pandocfilters 1.5.0 pypi_0 pypi parso 0.8.3 pypi_0 pypi pexpect 4.8.0 pypi_0 pypi pickleshare 0.7.5 pypi_0 pypi pillow 9.4.0 pypi_0 pypi pip 21.1.3 py38h06a4308_0 defaults pkgutil-resolve-name 1.3.10 pypi_0 pypi platformdirs 3.1.1 pypi_0 pypi prometheus-client 0.16.0 pypi_0 pypi prompt-toolkit 3.0.38 pypi_0 pypi protobuf 4.22.1 pypi_0 pypi psutil 5.9.4 pypi_0 pypi ptyprocess 0.7.0 pypi_0 pypi pure-eval 0.2.2 pypi_0 pypi pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pycosat 0.6.3 py38h7b6447c_1 defaults pycparser 2.20 py_2 defaults pygments 2.14.0 pypi_0 pypi pyopenssl 20.0.1 pyhd3eb1b0_1 defaults pyparsing 3.0.9 pypi_0 pypi pyrsistent 0.19.3 pypi_0 pypi pysocks 1.7.1 py38h06a4308_0 defaults python 3.8.10 h12debd9_8 defaults python-dateutil 2.8.2 pypi_0 pypi python-json-logger 2.0.7 pypi_0 pypi pytz 2022.7.1 pypi_0 pypi pywavelets 1.4.1 pypi_0 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kk42yy commented 1 month ago

请按照ReadMe和requirements.txt中的环境配置，我们只支持以下的配置，其他的版本冲突会出现上述问题： python=3.8 pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 monai==1.2.0

cyj1208 commented 1 month ago

好的好的，感谢您的解答