Installation#
Requirements#
torch-diffsim requires Python 3.8 or later and the following dependencies:
PyTorch >= 2.0.0
NumPy >= 1.20.0
SciPy >= 1.7.0
meshio >= 5.0.0
polyscope >= 1.3.0
matplotlib >= 3.5.0
Install from PyPI#
The easiest way to install torch-diffsim is via pip 
pip install torch-diffsim
This will automatically install all required dependencies.
Install from Source#
For development or to get the latest features, you can install from source:
# Clone the repository
git clone https://github.com/Rishit-dagli/torch-diffsim
cd torch-diffsim
# Install in editable mode
pip install -e .
Development Installation#
If you want to contribute to torch-diffsim, install the development dependencies:
# Clone the repository
git clone https://github.com/Rishit-dagli/torch-diffsim
cd torch-diffsim
# Install with development dependencies
pip install -e ".[dev]"
This will install additional tools for testing and code formatting:
pytest >= 7.0.0
black >= 22.0.0
ruff >= 0.1.0
Verifying Installation#
You can verify your installation by running:
import diffsim
print(diffsim.__version__)
This should print the version number (e.g., 0.1.0).
GPU Support#
torch-diffsim uses PyTorch and will automatically use GPU acceleration if CUDA is available. To check if GPU support is enabled:
import torch
print(f"CUDA available: {torch.cuda.is_available()}")
print(f"CUDA device count: {torch.cuda.device_count()}")
For optimal performance, we recommend using a CUDA-enabled GPU, especially for large-scale simulations or optimization problems.
Troubleshooting#
Import errors: If you encounter import errors, ensure that all dependencies are installed correctly:
pip install torch numpy scipy meshio polyscope matplotlib
PyTorch installation: For specific PyTorch installation instructions (e.g., with specific CUDA versions), visit the official PyTorch website.
Polyscope rendering issues: If you encounter issues with polyscope visualization, ensure you have proper OpenGL drivers installed on your system.