Currently running the docker container on a linux environment, however when running step 3, it returns the following error:
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
Cell In[4], line 4
1 # Extract phoneme duration
3 import json
----> 4 from nemo.collections.asr.models import EncDecCTCModel
5 asr_model = EncDecCTCModel.from_pretrained(model_name="asr_talknet_aligner").cpu().eval()
7 def forward_extractor(tokens, log_probs, blank):
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/nemo/collections/asr/__init__.py:15
1 # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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 nemo.collections.asr import data, losses, models, modules
16 from nemo.package_info import __version__
18 # Set collection version equal to NeMo version.
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/nemo/collections/asr/losses/__init__.py:15
1 # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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 nemo.collections.asr.losses.angularloss import AngularSoftmaxLoss
16 from nemo.collections.asr.losses.audio_losses import SDRLoss
17 from nemo.collections.asr.losses.ctc import CTCLoss
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/nemo/collections/asr/losses/angularloss.py:18
1 # ! /usr/bin/python
2 # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
3 #
(...)
13 # See the License for the specific language governing permissions and
14 # limitations under the License.
16 import torch
---> 18 from nemo.core.classes import Loss, Typing, typecheck
19 from nemo.core.neural_types import LabelsType, LogitsType, LossType, NeuralType
21 __all__ = ['AngularSoftmaxLoss']
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/nemo/core/__init__.py:16
1 # Copyright (c) 2020, NVIDIA CORPORATION. All rights reserved.
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 import nemo.core.neural_types
---> 16 from nemo.core.classes import *
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/nemo/core/classes/__init__.py:18
16 import hydra
17 import omegaconf
---> 18 import pytorch_lightning
20 from nemo.core.classes.common import (
21 FileIO,
22 Model,
(...)
27 typecheck,
28 )
29 from nemo.core.classes.dataset import Dataset, IterableDataset
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/pytorch_lightning/__init__.py:20
17 _PACKAGE_ROOT = os.path.dirname(__file__)
18 _PROJECT_ROOT = os.path.dirname(_PACKAGE_ROOT)
---> 20 from pytorch_lightning import metrics # noqa: E402
21 from pytorch_lightning.callbacks import Callback # noqa: E402
22 from pytorch_lightning.core import LightningDataModule, LightningModule # noqa: E402
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/pytorch_lightning/metrics/__init__.py:15
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.metrics.classification import ( # noqa: F401
16 Accuracy,
17 AUC,
18 AUROC,
19 AveragePrecision,
20 ConfusionMatrix,
21 F1,
22 FBeta,
23 HammingDistance,
24 IoU,
25 Precision,
26 PrecisionRecallCurve,
27 Recall,
28 ROC,
29 StatScores,
30 )
31 from pytorch_lightning.metrics.metric import Metric, MetricCollection # noqa: F401
32 from pytorch_lightning.metrics.regression import ( # noqa: F401
33 ExplainedVariance,
34 MeanAbsoluteError,
(...)
39 SSIM,
40 )
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/pytorch_lightning/metrics/classification/__init__.py:14
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.metrics.classification.accuracy import Accuracy # noqa: F401
15 from pytorch_lightning.metrics.classification.auc import AUC # noqa: F401
16 from pytorch_lightning.metrics.classification.auroc import AUROC # noqa: F401
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/pytorch_lightning/metrics/classification/accuracy.py:18
14 from typing import Any, Callable, Optional
16 from torchmetrics import Accuracy as _Accuracy
---> 18 from pytorch_lightning.metrics.utils import deprecated_metrics
21 class Accuracy(_Accuracy):
23 @deprecated_metrics(target=_Accuracy)
24 def __init__(
25 self,
(...)
32 dist_sync_fn: Callable = None,
33 ):
File ~/anaconda3/envs/talknet/lib/python3.8/site-packages/pytorch_lightning/metrics/utils.py:22
20 from torchmetrics.utilities.data import dim_zero_mean as _dim_zero_mean
21 from torchmetrics.utilities.data import dim_zero_sum as _dim_zero_sum
---> 22 from torchmetrics.utilities.data import get_num_classes as _get_num_classes
23 from torchmetrics.utilities.data import select_topk as _select_topk
24 from torchmetrics.utilities.data import to_categorical as _to_categorical
ImportError: cannot import name 'get_num_classes' from 'torchmetrics.utilities.data' (/home/ghostdog/anaconda3/envs/talknet/lib/python3.8/site-packages/torchmetrics/utilities/data.py)
Currently running the docker container on a linux environment, however when running step 3, it returns the following error:
I've tried re-installing torchmetrics version 0.6.0 using the command
conda install -c conda-forge torchmetrics=0.6.0What can I do to remedy this?