Fast, optimisable, symbolic expressions in PyTorch.
>>> from symtorch import symtorchify
>>> f = symtorchify("x**2 + 2.5*x + 1.7")
>>> f
x²+2.5x+1.7
>>> f({"x": torch.tensor(2.0)})
tensor([10.7000], grad_fn=<AddBackward0>)
Installation
pip install symtorch
Features
- Symbolic expressions with PyTorch integration
- Automatic differentiation and optimization
- Compatible with TorchScript
- Easy saving and loading via PyTorch's native mechanisms
- Seamless integration with existing PyTorch models
For detailed documentation and examples, visit our Documentation.
1 maintainer
Metadata
1 maintainer
Release files for symtorch 0.2.0
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| symtorch-0.2.0.tar.gz | 10.4 kB | Without provenance | Details for symtorch-0.2.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| symtorch-0.2.0-py3-none-any.whl | Python 3 | none | any | Details for symtorch-0.2.0-py3-none-any.whl |
Total release size: 18.5 kB
Release files / symtorch-0.2.0.tar.gz
| Download URL | symtorch-0.2.0.tar.gz |
|---|---|
| Size | 10.4 kB |
| Tags | Source |
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Release files / symtorch-0.2.0-py3-none-any.whl
| Download URL | symtorch-0.2.0-py3-none-any.whl |
|---|---|
| Size | 8.1 kB |
| Tags | Python 3 |
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twine/5.1.1 CPython/3.8.18
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