ml-operations / library
PyTorch
Capability: PyTorch
Use it when
- train neural networks with eager Python execution and accelerator support
- build custom tensor and autograd workflows
What it solves
Not the fit when
- training infrastructure and experiment tracking are separate concerns
Install
Install the PyTorch wheel selected for the target CPU or accelerator from pytorch.org
Invoke
Define a `torch.nn.Module`, move tensors and model to the selected device, run the optimizer loop, and save a versioned state dictionary.
Alternatives
No reviewed alternatives recorded yet.