Missing Modules, Colab doesn't work anymore #498

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opened 2026-01-29 21:48:17 +00:00 by claunia · 6 comments
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Originally created by @ma5termich on GitHub (Jun 17, 2024).

Until a few months ago the Google Colab worked perfectly, now I find this error when I execute the block of code relating to Inference:

Traceback (most recent call last):
File "/content/GFPGAN/inference_gfpgan.py", line 7, in
from basicsr.utils import imwrite
File "/usr/local/lib/python3.10/dist-packages/basicsr/init.py", line 4, in
from .data import *
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/init.py", line 22, in
_dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/init.py", line 22, in
_dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames]
File "/usr/lib/python3.10/importlib/init.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/realesrgan_dataset.py", line 11, in
from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels
File "/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py", line 8, in
from torchvision.transforms.functional_tensor import rgb_to_grayscale
ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'
ls: cannot access 'results/cmp': No such file or directory

Originally created by @ma5termich on GitHub (Jun 17, 2024). Until a few months ago the Google Colab worked perfectly, now I find this error when I execute the block of code relating to Inference: Traceback (most recent call last): File "/content/GFPGAN/inference_gfpgan.py", line 7, in <module> from basicsr.utils import imwrite File "/usr/local/lib/python3.10/dist-packages/basicsr/__init__.py", line 4, in <module> from .data import * File "/usr/local/lib/python3.10/dist-packages/basicsr/data/__init__.py", line 22, in <module> _dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames] File "/usr/local/lib/python3.10/dist-packages/basicsr/data/__init__.py", line 22, in <listcomp> _dataset_modules = [importlib.import_module(f'basicsr.data.{file_name}') for file_name in dataset_filenames] File "/usr/lib/python3.10/importlib/__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) File "/usr/local/lib/python3.10/dist-packages/basicsr/data/realesrgan_dataset.py", line 11, in <module> from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels File "/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py", line 8, in <module> from torchvision.transforms.functional_tensor import rgb_to_grayscale ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor' ls: cannot access 'results/cmp': No such file or directory
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@SaintFresh commented on GitHub (Jun 23, 2024):

https://github.com/XPixelGroup/BasicSR/pull/689#issue-2368501469

@SaintFresh commented on GitHub (Jun 23, 2024): [https://github.com/XPixelGroup/BasicSR/pull/689#issue-2368501469](url)
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@huangzekai commented on GitHub (Jun 27, 2024):

I have the same problem, does anyone know how to solve it?

@huangzekai commented on GitHub (Jun 27, 2024): I have the same problem, does anyone know how to solve it?
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@G-force78 commented on GitHub (Jun 29, 2024):

Its a persistent annoying problem

#Open /usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py and on line 8, simply change:

#from torchvision.transforms.functional_tensor import rgb_to_grayscale
#to:

#from torchvision.transforms.functional import rgb_to_grayscale

@G-force78 commented on GitHub (Jun 29, 2024): Its a persistent annoying problem #Open /usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py and on line 8, simply change: #from torchvision.transforms.functional_tensor import rgb_to_grayscale #to: #from torchvision.transforms.functional import rgb_to_grayscale
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@Epsilon-BUAP commented on GitHub (Aug 10, 2024):

After u upload ur image, create a new code with mine:

import fileinput
import sys

def update_degradations_import(file_path):
# Línea original que queremos reemplazar
original_line = 'from torchvision.transforms.functional_tensor import rgb_to_grayscale\n'
# Línea nueva que queremos escribir
new_line = 'from torchvision.transforms.functional import rgb_to_grayscale\n'

# Abrir el archivo en modo de lectura y escritura
with fileinput.FileInput(file_path, inplace=True, backup='.bak') as file:
    for line in file:
        # Reemplazar la línea original por la nueva línea
        if line == original_line:
            sys.stdout.write(new_line)
        else:
            sys.stdout.write(line)

Ruta al archivo de degradaciones que queremos modificar

file_path = '/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py'

Llamar a la función para actualizar la importación

update_degradations_import(file_path)

print(f"Updated import in {file_path}")

@Epsilon-BUAP commented on GitHub (Aug 10, 2024): After u upload ur image, create a new code with mine: import fileinput import sys def update_degradations_import(file_path): # Línea original que queremos reemplazar original_line = 'from torchvision.transforms.functional_tensor import rgb_to_grayscale\n' # Línea nueva que queremos escribir new_line = 'from torchvision.transforms.functional import rgb_to_grayscale\n' # Abrir el archivo en modo de lectura y escritura with fileinput.FileInput(file_path, inplace=True, backup='.bak') as file: for line in file: # Reemplazar la línea original por la nueva línea if line == original_line: sys.stdout.write(new_line) else: sys.stdout.write(line) # Ruta al archivo de degradaciones que queremos modificar file_path = '/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py' # Llamar a la función para actualizar la importación update_degradations_import(file_path) print(f"Updated import in {file_path}")
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@Epsilon-BUAP commented on GitHub (Aug 10, 2024):

image

@Epsilon-BUAP commented on GitHub (Aug 10, 2024): ![image](https://github.com/user-attachments/assets/d4c1c978-e2e3-498c-aa72-97ff3c00c82b)
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@SaintFresh commented on GitHub (Aug 12, 2024):

https://gist.github.com/SaintFresh/ada893f9c4d0d9e6200c632598e8cdf9

Feel free to save a copy.

@SaintFresh commented on GitHub (Aug 12, 2024): [https://gist.github.com/SaintFresh/ada893f9c4d0d9e6200c632598e8cdf9](url) Feel free to save a copy.
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Reference: TencentARC/GFPGAN#498