python-pytorchHow can I check if my Python code is compatible with PyTorch?

To check if your Python code is compatible with PyTorch, you can use the torch.utils.cpp_extension.verify_ninja function. This function will check if the compiler and library versions of your environment are compatible with PyTorch.

Example code

import torch
torch.utils.cpp_extension.verify_ninja()

Output example

Ninja found at '/usr/local/bin/ninja'
ninja version: 1.9.0

The verify_ninja function will check if the compiler and library versions of your environment are compatible with PyTorch. It will also check if the Ninja build system is installed.

You can also use the torch.utils.cpp_extension.check_compiler_abi_compatibility function to check if the compiler is compatible with PyTorch. This function will check if the compiler version is compatible with the version of PyTorch being used.

Example code

import torch
torch.utils.cpp_extension.check_compiler_abi_compatibility()

Output example

Compiler ABI compatibility check passed.

If the compiler ABI check fails, you will need to install a compatible compiler.

Finally, you can use the torch.utils.cpp_extension.check_compile_succeeded function to check if the compilation of your code was successful. This function will check if there are any errors in your code.

Example code

import torch
torch.utils.cpp_extension.check_compile_succeeded()

Output example

Compilation succeeded.

If the compilation fails, you will need to fix any errors in your code.

Helpful links

• https://pytorch.org/cppdocs/
• https://pytorch.org/cppdocs/installing.html

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