import mmcv
import matplotlib.pyplot as plt
from fastcore.basics import *
from fastai.vision.all import *
from fastai.torch_basics import *
import warnings
warnings.filterwarnings("ignore")
import kornia
from kornia.constants import Resample
from kornia.color import *
from kornia import augmentation as K
import kornia.augmentation as F
import kornia.augmentation.random_generator as rg
from torchvision.transforms import functional as tvF
from torchvision.transforms import transforms
from torchvision.transforms import PILToTensor
from functools import partial
from timm.models.layers import trunc_normal_, DropPath
from timm.data import IMAGENET_DEFAULT_MEAN, IMAGENET_DEFAULT_STD
from timm.models.vision_transformer import _cfg
from einops import rearrange
from timm.models.registry import register_model
set_seed(105)some tips about how to transform segfomer code(from mmsegmentation) to hugging face https://github.com/NVlabs/SegFormer/issues/20
from transformers import SegformerModel, SegformerConfig
# Initializing a SegFormer nvidia/segformer-b0-finetuned-ade-512-512 style configuration
configuration = SegformerConfig()
# Initializing a model from the nvidia/segformer-b0-finetuned-ade-512-512 style configuration
model = SegformerModel(configuration)
# Accessing the model configuration
configuration = model.config--------------------------------------------------------------------------- ImportError Traceback (most recent call last) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in _get_module(self, module_name) 2231 try: -> 2232 return importlib.import_module("." + module_name, self.__name__) 2233 except Exception as e: ~/miniconda3/envs/new/lib/python3.8/importlib/__init__.py in import_module(name, package) 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _gcd_import(name, package, level) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _load_unlocked(spec) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap_external.py in exec_module(self, module) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/tokenization_utils.py in <module> 26 from .file_utils import PaddingStrategy, TensorType, add_end_docstrings ---> 27 from .tokenization_utils_base import ( 28 ENCODE_KWARGS_DOCSTRING, ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/tokenization_utils_base.py in <module> 73 if is_tokenizers_available(): ---> 74 from tokenizers import AddedToken 75 from tokenizers import Encoding as EncodingFast ~/miniconda3/envs/new/lib/python3.8/site-packages/tokenizers/__init__.py in <module> 78 ---> 79 from .tokenizers import ( 80 Tokenizer, ImportError: /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by /home/ubuntu/miniconda3/envs/new/lib/python3.8/site-packages/tokenizers/tokenizers.cpython-38-x86_64-linux-gnu.so) The above exception was the direct cause of the following exception: RuntimeError Traceback (most recent call last) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in _get_module(self, module_name) 2231 try: -> 2232 return importlib.import_module("." + module_name, self.__name__) 2233 except Exception as e: ~/miniconda3/envs/new/lib/python3.8/importlib/__init__.py in import_module(name, package) 126 level += 1 --> 127 return _bootstrap._gcd_import(name[level:], package, level) 128 ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _gcd_import(name, package, level) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _gcd_import(name, package, level) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _find_and_load_unlocked(name, import_) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _load_unlocked(spec) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap_external.py in exec_module(self, module) ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _call_with_frames_removed(f, *args, **kwds) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/models/__init__.py in <module> 18 ---> 19 from . import ( 20 albert, ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/models/layoutlm/__init__.py in <module> 21 from ...file_utils import _LazyModule, is_tf_available, is_tokenizers_available, is_torch_available ---> 22 from .configuration_layoutlm import LAYOUTLM_PRETRAINED_CONFIG_ARCHIVE_MAP, LayoutLMConfig 23 from .tokenization_layoutlm import LayoutLMTokenizer ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/models/layoutlm/configuration_layoutlm.py in <module> 18 ---> 19 from transformers import PretrainedConfig, PreTrainedTokenizer, TensorType 20 ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _handle_fromlist(module, fromlist, import_, recursive) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in __getattr__(self, name) 2221 elif name in self._class_to_module.keys(): -> 2222 module = self._get_module(self._class_to_module[name]) 2223 value = getattr(module, name) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in _get_module(self, module_name) 2233 except Exception as e: -> 2234 raise RuntimeError( 2235 f"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its traceback):\n{e}" RuntimeError: Failed to import transformers.tokenization_utils because of the following error (look up to see its traceback): /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by /home/ubuntu/miniconda3/envs/new/lib/python3.8/site-packages/tokenizers/tokenizers.cpython-38-x86_64-linux-gnu.so) The above exception was the direct cause of the following exception: RuntimeError Traceback (most recent call last) /tmp/ipykernel_11069/1946589403.py in <module> ----> 1 from transformers import SegformerModel, SegformerConfig 2 3 # Initializing a SegFormer nvidia/segformer-b0-finetuned-ade-512-512 style configuration 4 configuration = SegformerConfig() 5 ~/miniconda3/envs/new/lib/python3.8/importlib/_bootstrap.py in _handle_fromlist(module, fromlist, import_, recursive) ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in __getattr__(self, name) 2220 value = self._get_module(name) 2221 elif name in self._class_to_module.keys(): -> 2222 module = self._get_module(self._class_to_module[name]) 2223 value = getattr(module, name) 2224 else: ~/sharedData/swp/dlLabSwp/blog/myBlog/codeIdeas/transformers/src/transformers/file_utils.py in _get_module(self, module_name) 2232 return importlib.import_module("." + module_name, self.__name__) 2233 except Exception as e: -> 2234 raise RuntimeError( 2235 f"Failed to import {self.__name__}.{module_name} because of the following error (look up to see its traceback):\n{e}" 2236 ) from e RuntimeError: Failed to import transformers.models.segformer because of the following error (look up to see its traceback): Failed to import transformers.tokenization_utils because of the following error (look up to see its traceback): /lib/x86_64-linux-gnu/libm.so.6: version `GLIBC_2.29' not found (required by /home/ubuntu/miniconda3/envs/new/lib/python3.8/site-packages/tokenizers/tokenizers.cpython-38-x86_64-linux-gnu.so)