PLEASE HELP ANYONE - THIS ERROR (ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor') #449

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opened 2026-01-29 21:47:49 +00:00 by claunia · 8 comments
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Originally created by @misssunitaparker on GitHub (Feb 5, 2024).

Traceback (most recent call last):
File "E:\SOFT\GFPGAN\GFPGAN\inference_gfpgan.py", line 7, in
from basicsr.utils import imwrite
File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr_init_.py", line 4, in
from .data import *
File "C:\Users\MKN\anaconda3\Lib\site-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 "C:\Users\MKN\anaconda3\Lib\site-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 "C:\Users\MKN\anaconda3\Lib\importlib_init
.py", line 126, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\realesrgan_dataset.py", line 11, in
from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels
File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\degradations.py", line 8, in
from torchvision.transforms.functional_tensor import rgb_to_grayscale


Uploading bdbe9c6d3f2e42f9f79e56e414fe27daed6c1ed0..jpg…

Originally created by @misssunitaparker on GitHub (Feb 5, 2024). Traceback (most recent call last): File "E:\SOFT\GFPGAN\GFPGAN\inference_gfpgan.py", line 7, in <module> from basicsr.utils import imwrite File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\__init__.py", line 4, in <module> from .data import * File "C:\Users\MKN\anaconda3\Lib\site-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 "C:\Users\MKN\anaconda3\Lib\site-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 "C:\Users\MKN\anaconda3\Lib\importlib\__init__.py", line 126, in import_module return _bootstrap._gcd_import(name[level:], package, level) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\realesrgan_dataset.py", line 11, in <module> from basicsr.data.degradations import circular_lowpass_kernel, random_mixed_kernels File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\degradations.py", line 8, in <module> from torchvision.transforms.functional_tensor import rgb_to_grayscale [ ![Uploading bdbe9c6d3f2e42f9f79e56e414fe27daed6c1ed0..jpg…]() ](url)
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@J-McFc commented on GitHub (Feb 19, 2024):

Have you managed to fix it? I'm getting the same when I run the script

@J-McFc commented on GitHub (Feb 19, 2024): Have you managed to fix it? I'm getting the same when I run the script
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@DNucX commented on GitHub (Feb 24, 2024):

@misssunitaparker @J-McFc

Go to the file degradations.py. It's located in the error message. For example, for @misssunitaparker, it's:

File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\degradations.py"

Open the file degradations.py and edit line 8 from:

from torchvision.transforms.functional_tensor import rgb_to_grayscale

to:

from torchvision.transforms.functional import rgb_to_grayscale

Hopefully this works.

@DNucX commented on GitHub (Feb 24, 2024): @misssunitaparker @J-McFc Go to the file degradations.py. It's located in the error message. For example, for @misssunitaparker, it's: `File "C:\Users\MKN\anaconda3\Lib\site-packages\basicsr\data\degradations.py"` Open the file degradations.py and edit line 8 from: `from torchvision.transforms.functional_tensor import rgb_to_grayscale` to: `from torchvision.transforms.functional import rgb_to_grayscale` Hopefully this works.
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@J-McFc commented on GitHub (Feb 26, 2024):

@DNucX It works, you're a legend, thanks mate.

@J-McFc commented on GitHub (Feb 26, 2024): @DNucX It works, you're a legend, thanks mate.
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@dinihanafi commented on GitHub (Apr 21, 2024):


ModuleNotFoundError Traceback (most recent call last)
Cell In[18], line 3
1 from pytorchvideo.data import LabeledVideoDataset, Kinetics, make_clip_sampler
----> 3 from pytorchvideo.transforms import (ApplyTransformToKey, Normalize, RandomShortSideScale, UniformTemporalSubsample,
4 )
6 from torchvision.transforms import (Compose, Lambda, RandomCrop, RandomHorizontalFlip, Resize)
8 from torchvision.transforms._transforms_video import (CenterCropVideo, NormalizeVideo)

File c:\Users\pnanurdb\AppData\Local\Programs\Python\Python312\Lib\site-packages\pytorchvideo\transforms_init_.py:3
1 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
----> 3 from .augmix import AugMix # noqa
4 from .mix import CutMix, MixUp, MixVideo # noqa
5 from .rand_augment import RandAugment # noqa

File c:\Users\pnanurdb\AppData\Local\Programs\Python\Python312\Lib\site-packages\pytorchvideo\transforms\augmix.py:6
3 from typing import Any, Dict, Optional
5 import torch
----> 6 from pytorchvideo.transforms.augmentations import (
7 _AUGMENTATION_MAX_LEVEL,
8 AugmentTransform,
9 _decreasing_int_to_arg,
10 _decreasing_to_arg,
11 _increasing_magnitude_to_arg,
12 _increasing_randomly_negate_to_arg,
...
----> 9 import torchvision.transforms.functional_tensor as F_t
10 from torchvision.transforms.functional import InterpolationMode
13 # Maximum global magnitude used for video augmentation.

ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor'

Can anyone help me with this error also? Thanks in advanced

@dinihanafi commented on GitHub (Apr 21, 2024): --------------------------------------------------------------------------- ModuleNotFoundError Traceback (most recent call last) Cell In[18], [line 3](vscode-notebook-cell:?execution_count=18&line=3) [1](vscode-notebook-cell:?execution_count=18&line=1) from pytorchvideo.data import LabeledVideoDataset, Kinetics, make_clip_sampler ----> [3](vscode-notebook-cell:?execution_count=18&line=3) from pytorchvideo.transforms import (ApplyTransformToKey, Normalize, RandomShortSideScale, UniformTemporalSubsample, [4](vscode-notebook-cell:?execution_count=18&line=4) ) [6](vscode-notebook-cell:?execution_count=18&line=6) from torchvision.transforms import (Compose, Lambda, RandomCrop, RandomHorizontalFlip, Resize) [8](vscode-notebook-cell:?execution_count=18&line=8) from torchvision.transforms._transforms_video import (CenterCropVideo, NormalizeVideo) File [c:\Users\pnanurdb\AppData\Local\Programs\Python\Python312\Lib\site-packages\pytorchvideo\transforms\__init__.py:3](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/__init__.py:3) [1](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/__init__.py:1) # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved. ----> [3](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/__init__.py:3) from .augmix import AugMix # noqa [4](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/__init__.py:4) from .mix import CutMix, MixUp, MixVideo # noqa [5](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/__init__.py:5) from .rand_augment import RandAugment # noqa File [c:\Users\pnanurdb\AppData\Local\Programs\Python\Python312\Lib\site-packages\pytorchvideo\transforms\augmix.py:6](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:6) [3](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:3) from typing import Any, Dict, Optional [5](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:5) import torch ----> [6](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:6) from pytorchvideo.transforms.augmentations import ( [7](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:7) _AUGMENTATION_MAX_LEVEL, [8](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:8) AugmentTransform, [9](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:9) _decreasing_int_to_arg, [10](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:10) _decreasing_to_arg, [11](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:11) _increasing_magnitude_to_arg, [12](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmix.py:12) _increasing_randomly_negate_to_arg, ... ----> [9](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmentations.py:9) import torchvision.transforms.functional_tensor as F_t [10](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmentations.py:10) from torchvision.transforms.functional import InterpolationMode [13](file:///C:/Users/pnanurdb/AppData/Local/Programs/Python/Python312/Lib/site-packages/pytorchvideo/transforms/augmentations.py:13) # Maximum global magnitude used for video augmentation. ModuleNotFoundError: No module named 'torchvision.transforms.functional_tensor' Can anyone help me with this error also? Thanks in advanced
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@sunilkumardash9 commented on GitHub (Apr 22, 2024):

@dinihanafi change torchvision.transforms.functional_tensor to torchvision.transforms.functional

@sunilkumardash9 commented on GitHub (Apr 22, 2024): @dinihanafi change torchvision.transforms.functional_tensor to torchvision.transforms.functional
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@donwany commented on GitHub (Jun 6, 2024):

@DNucX It works, you're a legend, thanks mate.

Mine was

nano /home//miniconda3/envs/gfpgan-demo/lib/python3.12/site-packages/basicsr/data/degradations.py

change line to

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

Then it worked.!

@donwany commented on GitHub (Jun 6, 2024): > @DNucX It works, you're a legend, thanks mate. Mine was nano /home/<USERNAME>/miniconda3/envs/gfpgan-demo/lib/python3.12/site-packages/basicsr/data/degradations.py change line to from torchvision.transforms.functional_tensor import rgb_to_grayscale to: from torchvision.transforms.functional import rgb_to_grayscale Then it worked.!
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@Svytta commented on GitHub (Jun 16, 2024):

TRY THIS:

import fileinput
import sys

def update_degradations_import(file_path):

Original line we want to replace:

original_line = 'from torchvision.transforms.functional_tensor import rgb_to_grayscale\n'

New line that we want to write:

new_line = 'from torchvision.transforms.functional import rgb_to_grayscale\n'

Open the file in read and write mode:

with fileinput.FileInput(file_path, inplace=True, backup='.bak') as file:
    for line in file:
       # Replace the original line with the new line:
        if line == original_line:
            sys.stdout.write(new_line)
        else:
            sys.stdout.write(line)

Path to the downgrade file that we want to modify, in my case:

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

Call function to update import

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

@Svytta commented on GitHub (Jun 16, 2024): TRY THIS: import fileinput import sys def update_degradations_import(file_path): > # Original line we want to replace: original_line = 'from torchvision.transforms.functional_tensor import rgb_to_grayscale\n' > # New line that we want to write: new_line = 'from torchvision.transforms.functional import rgb_to_grayscale\n' > # Open the file in read and write mode: with fileinput.FileInput(file_path, inplace=True, backup='.bak') as file: for line in file: # Replace the original line with the new line: if line == original_line: sys.stdout.write(new_line) else: sys.stdout.write(line) > # Path to the downgrade file that we want to modify, in my case: file_path = '/usr/local/lib/python3.10/dist-packages/basicsr/data/degradations.py' > # Call function to update import update_degradations_import(file_path) print(f"Updated import in {file_path}")
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@yuanjinlong commented on GitHub (Sep 26, 2024):

@DNucX It works, you're a legend, thanks mate.

Mine was

nano /home//miniconda3/envs/gfpgan-demo/lib/python3.12/site-packages/basicsr/data/degradations.py

change line to

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

Then it worked.!

thanks. the same problem .now it works.

@yuanjinlong commented on GitHub (Sep 26, 2024): > > @DNucX It works, you're a legend, thanks mate. > > Mine was > > nano /home//miniconda3/envs/gfpgan-demo/lib/python3.12/site-packages/basicsr/data/degradations.py > > change line to > > from torchvision.transforms.functional_tensor import rgb_to_grayscale to: from torchvision.transforms.functional import rgb_to_grayscale > > Then it worked.! thanks. the same problem .now it works.
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Reference: TencentARC/GFPGAN#449