AttributeError
builtins.AttributeError
Stack trace
Traceback (most recent call last):
File "app.py", line 3, in <module>
import torch
File "app.py", line 5, in <module>
torch.pytorch
AttributeError: module 'torch' has no attribute 'pytorch' Why it happens
The 'torch' Python package does not have a submodule or attribute named 'pytorch'. This error typically happens when developers mistakenly try to access 'pytorch' as an attribute of 'torch' instead of importing 'torch' directly or using its correct submodules.
Detection
Check your import statements and attribute accesses for 'torch.pytorch'. Use static code analysis or linters to detect invalid attribute usage on the 'torch' module before runtime.
Causes & fixes
Attempting to access 'pytorch' as an attribute of the 'torch' module, which does not exist.
Remove any usage of 'torch.pytorch' and import 'torch' directly. Use 'import torch' and access valid submodules or functions.
Confusing the package name 'pytorch' with the module name 'torch'.
Use 'import torch' as PyTorch's Python package is named 'torch', not 'pytorch'.
Incorrect installation or partial installation of PyTorch causing incomplete module attributes.
Reinstall PyTorch using the official installation commands to ensure the full module is available.
Code: broken vs fixed
import torch
# This line causes AttributeError
print(torch.pytorch.__version__)import os
import torch
# Fixed: Access torch module directly
print(torch.__version__)
# Ensure environment variable for PyTorch if needed
os.environ['PYTORCH_ENABLE_MPS_FALLBACK'] = '1' # example environment settingWorkaround
If you cannot fix the import immediately, avoid accessing 'torch.pytorch' and instead use 'torch' directly or fallback to checking PyTorch version with 'torch.__version__'.
Prevention
Always refer to PyTorch documentation for correct import usage. Use 'import torch' and avoid assuming submodules or attributes that do not exist. Use linters to catch invalid attribute access early.