torchvision_patch.py

# Copyright (C) 2025 flickleafy
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.

# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
# GNU General Public License for more details.

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# along with this program.  If not, see <https://www.gnu.org/licenses/>.

# Torchvision compatibility patch
# This file patches the torchvision.transforms.functional_tensor import issue

import sys
from types import ModuleType


def patch_functional_tensor():
    """Monkey patch to fix torchvision.transforms.functional_tensor imports"""
    try:
        # Try the import first
        import torchvision.transforms.functional_tensor
        return  # Already exists, no need to patch
    except ImportError:
        pass

    # Import the actual functional module
    import torchvision.transforms.functional as functional

    # Create a fake module that forwards everything to functional
    fake_module = ModuleType('torchvision.transforms.functional_tensor')

    # Copy all public attributes from functional to the fake module
    for name in dir(functional):
        if not name.startswith('_'):
            setattr(fake_module, name, getattr(functional, name))

    # Register the fake module
    sys.modules['torchvision.transforms.functional_tensor'] = fake_module

    # Also set it as an attribute on the transforms module
    import torchvision.transforms
    torchvision.transforms.functional_tensor = fake_module


# Apply the patch
patch_functional_tensor()