Get started with ORT for Training API (PyTorch)
The ORT Training API is a PyTorch frontend that implements the torch.nn.Module interface.
ORT Training Example
In this example we will go over how to use ORT for Training a model with PyTorch.
pip install torch-ort
python -m torch_ort.configure
Note: This installs the default version of the torch-ort
and onnxruntime-training
packages that are mapped to specific versions of the CUDA libraries. Refer to the install options in ONNXRUNTIME.ai.
- Add ORTModule in the
train.py
from torch_ort import ORTModule . . . model = ORTModule(model)
Samples
ONNX Runtime Training Examples