icevision
icevision copied to clipboard
airctic
no module named hydra-core after running install icevision script with cuda11 master settings
🐛 Bug
Describe the bug
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
Input In [1], in <cell line: 7>()
5 from pycocotools.cocoeval import COCOeval
6 from pycococreatortools import pycococreatortools
----> 7 from icevision import models, parsers, show_records, tfms, Dataset, Metric, COCOMetric, COCOMetricType
8 from icevision.imports import *
9 from icevision.utils import *
File ~/work/env/lib/python3.9/site-packages/icevision/__init__.py:1, in <module>
----> 1 from icevision.utils import *
2 from icevision.core import *
3 from icevision import parsers
File ~/work/env/lib/python3.9/site-packages/icevision/utils/__init__.py:1, in <module>
----> 1 from icevision.utils.utils import *
2 from icevision.utils.io import *
3 from icevision.utils.indexable_dict import *
File ~/work/env/lib/python3.9/site-packages/icevision/utils/utils.py:21, in <module>
1 __all__ = [
2 "notnone",
3 "ifnotnone",
(...)
18 "patch_class_to_main",
19 ]
---> 21 from icevision.imports import *
24 def notnone(x):
25 return x is not None
File ~/work/env/lib/python3.9/site-packages/icevision/imports.py:59, in <module>
56 from loguru import logger
58 # Soft imports
---> 59 from icevision.soft_dependencies import SoftDependencies
61 if SoftDependencies.fastai:
62 import fastai.vision.all as fastai
File ~/work/env/lib/python3.9/site-packages/icevision/soft_dependencies.py:37, in <module>
33 def check(self) -> Dict[str, bool]:
34 return self.__dict__.copy()
---> 37 SoftDependencies = _SoftDependencies()
File ~/work/env/lib/python3.9/site-packages/icevision/soft_dependencies.py:20, in _SoftDependencies.__init__(self)
18 def __init__(self):
19 self.fastai = soft_import("fastai")
---> 20 self.pytorch_lightning = soft_import("pytorch_lightning")
21 self.albumentations = soft_import("albumentations")
22 self.effdet = soft_import("effdet")
File ~/work/env/lib/python3.9/site-packages/icevision/soft_dependencies.py:13, in soft_import(name)
11 except ModuleNotFoundError as e:
12 if str(e) != f"No module named '{name}'":
---> 13 raise e
14 return False
File ~/work/env/lib/python3.9/site-packages/icevision/soft_dependencies.py:9, in soft_import(name)
7 def soft_import(name: str):
8 try:
----> 9 importlib.import_module(name)
10 return True
11 except ModuleNotFoundError as e:
File ~/miniconda3/lib/python3.9/importlib/__init__.py:127, in import_module(name, package)
125 break
126 level += 1
--> 127 return _bootstrap._gcd_import(name[level:], package, level)
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/__init__.py:30, in <module>
27 _logger.addHandler(logging.StreamHandler())
28 _logger.propagate = False
---> 30 from pytorch_lightning.callbacks import Callback # noqa: E402
31 from pytorch_lightning.core import LightningDataModule, LightningModule # noqa: E402
32 from pytorch_lightning.trainer import Trainer # noqa: E402
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/callbacks/__init__.py:26, in <module>
24 from pytorch_lightning.callbacks.prediction_writer import BasePredictionWriter
25 from pytorch_lightning.callbacks.progress import ProgressBar, ProgressBarBase, RichProgressBar, TQDMProgressBar
---> 26 from pytorch_lightning.callbacks.pruning import ModelPruning
27 from pytorch_lightning.callbacks.quantization import QuantizationAwareTraining
28 from pytorch_lightning.callbacks.rich_model_summary import RichModelSummary
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/callbacks/pruning.py:31, in <module>
29 import pytorch_lightning as pl
30 from pytorch_lightning.callbacks.base import Callback
---> 31 from pytorch_lightning.core.lightning import LightningModule
32 from pytorch_lightning.utilities.apply_func import apply_to_collection
33 from pytorch_lightning.utilities.exceptions import MisconfigurationException
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/core/__init__.py:16, in <module>
1 # Copyright The PyTorch Lightning team.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
15 from pytorch_lightning.core.datamodule import LightningDataModule
---> 16 from pytorch_lightning.core.lightning import LightningModule
18 __all__ = ["LightningDataModule", "LightningModule"]
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/core/lightning.py:42, in <module>
40 from pytorch_lightning.core.saving import ModelIO
41 from pytorch_lightning.loggers import LightningLoggerBase, LoggerCollection
---> 42 from pytorch_lightning.trainer.connectors.data_connector import _DataHookSelector
43 from pytorch_lightning.trainer.connectors.logger_connector.fx_validator import _FxValidator
44 from pytorch_lightning.utilities import _IS_WINDOWS, _TORCH_GREATER_EQUAL_1_10, GradClipAlgorithmType, warnings
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/trainer/__init__.py:16, in <module>
1 # Copyright The PyTorch Lightning team.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
14 """"""
---> 16 from pytorch_lightning.trainer.trainer import Trainer
17 from pytorch_lightning.utilities.seed import seed_everything
19 __all__ = ["Trainer", "seed_everything"]
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/trainer/trainer.py:34, in <module>
31 from torch.utils.data import DataLoader
33 import pytorch_lightning as pl
---> 34 from pytorch_lightning.accelerators import Accelerator, GPUAccelerator, HPUAccelerator, IPUAccelerator, TPUAccelerator
35 from pytorch_lightning.callbacks import Callback, EarlyStopping, ModelCheckpoint, ProgressBarBase
36 from pytorch_lightning.callbacks.prediction_writer import BasePredictionWriter
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/accelerators/__init__.py:14, in <module>
1 # Copyright The PyTorch Lightning team.
2 # Licensed under the Apache License, Version 2.0 (the "License");
3 # you may not use this file except in compliance with the License.
(...)
11 # See the License for the specific language governing permissions and
12 # limitations under the License.
13 from pytorch_lightning.accelerators.accelerator import Accelerator # noqa: F401
---> 14 from pytorch_lightning.accelerators.cpu import CPUAccelerator # noqa: F401
15 from pytorch_lightning.accelerators.gpu import GPUAccelerator # noqa: F401
16 from pytorch_lightning.accelerators.hpu import HPUAccelerator # noqa: F401
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/accelerators/cpu.py:19, in <module>
16 import torch
18 from pytorch_lightning.accelerators.accelerator import Accelerator
---> 19 from pytorch_lightning.utilities import device_parser
20 from pytorch_lightning.utilities.exceptions import MisconfigurationException
21 from pytorch_lightning.utilities.types import _DEVICE
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/utilities/device_parser.py:18, in <module>
14 from typing import Any, List, MutableSequence, Optional, Tuple, Union
16 import torch
---> 18 from pytorch_lightning.plugins.environments import TorchElasticEnvironment
19 from pytorch_lightning.tuner.auto_gpu_select import pick_multiple_gpus
20 from pytorch_lightning.utilities.exceptions import MisconfigurationException
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/plugins/__init__.py:20, in <module>
18 from pytorch_lightning.plugins.precision.tpu import TPUPrecisionPlugin
19 from pytorch_lightning.plugins.precision.tpu_bf16 import TPUBf16PrecisionPlugin
---> 20 from pytorch_lightning.plugins.training_type.ddp import DDPPlugin
21 from pytorch_lightning.plugins.training_type.ddp2 import DDP2Plugin
22 from pytorch_lightning.plugins.training_type.ddp_spawn import DDPSpawnPlugin
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/__init__.py:1, in <module>
----> 1 from pytorch_lightning.plugins.training_type.ddp import DDPPlugin # noqa: F401
2 from pytorch_lightning.plugins.training_type.ddp2 import DDP2Plugin # noqa: F401
3 from pytorch_lightning.plugins.training_type.ddp_spawn import DDPSpawnPlugin # noqa: F401
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/plugins/training_type/ddp.py:14, in <module>
1 # Copyright The PyTorch Lightning team.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
---> 14 from pytorch_lightning.strategies import DDPStrategy
15 from pytorch_lightning.utilities import rank_zero_deprecation
18 class DDPPlugin(DDPStrategy):
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/strategies/__init__.py:14, in <module>
1 # Copyright The PyTorch Lightning team.
2 #
3 # Licensed under the Apache License, Version 2.0 (the "License");
(...)
12 # See the License for the specific language governing permissions and
13 # limitations under the License.
---> 14 from pytorch_lightning.strategies.bagua import BaguaStrategy # noqa: F401
15 from pytorch_lightning.strategies.ddp import DDPStrategy # noqa: F401
16 from pytorch_lightning.strategies.ddp2 import DDP2Strategy # noqa: F401
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/strategies/bagua.py:17, in <module>
15 from pytorch_lightning.plugins.io.checkpoint_plugin import CheckpointIO
16 from pytorch_lightning.plugins.precision import PrecisionPlugin
---> 17 from pytorch_lightning.strategies.ddp import DDPStrategy
18 from pytorch_lightning.strategies.strategy import TBroadcast
19 from pytorch_lightning.trainer.states import TrainerFn
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/strategies/ddp.py:36, in <module>
34 from pytorch_lightning.plugins.io.checkpoint_plugin import CheckpointIO
35 from pytorch_lightning.plugins.precision import PrecisionPlugin
---> 36 from pytorch_lightning.strategies.launchers.subprocess_script import _SubprocessScriptLauncher
37 from pytorch_lightning.strategies.parallel import ParallelStrategy
38 from pytorch_lightning.trainer.states import TrainerFn
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/strategies/launchers/__init__.py:16, in <module>
14 from pytorch_lightning.strategies.launchers.base import _Launcher
15 from pytorch_lightning.strategies.launchers.spawn import _SpawnLauncher
---> 16 from pytorch_lightning.strategies.launchers.subprocess_script import _SubprocessScriptLauncher
17 from pytorch_lightning.strategies.launchers.xla_spawn import _XLASpawnLauncher
19 __all__ = [
20 "_Launcher",
21 "_SpawnLauncher",
22 "_SubprocessScriptLauncher",
23 "_XLASpawnLauncher",
24 ]
File ~/work/env/lib/python3.9/site-packages/pytorch_lightning/strategies/launchers/subprocess_script.py:29, in <module>
26 from pytorch_lightning.utilities import _HYDRA_AVAILABLE
28 if _HYDRA_AVAILABLE:
---> 29 from hydra.core.hydra_config import HydraConfig
30 from hydra.utils import get_original_cwd, to_absolute_path
33 class _SubprocessScriptLauncher(_Launcher):
ModuleNotFoundError: No module named 'hydra.core'
Hello @rbavery, thank you for submitting the issue. I can't seem to replicate this error. Would you mind sharing a Colab notebook to replicate this?
I'm running this on a fresh Google cloud instance, not colab. Colab might come with packages already installed, I'm not sure. I'll check on it later.
Keep us updated! Any chance that the Google cloud instance only has a CPU and not GPU?