AMD and ONNX Launch TurnkeyML Toolchain for Model Agility
generative AI models that can produce words and synthesize visuals, machine learning and artificial intelligence are constantly evolving
This difficulty is exacerbated by the many and constantly growing amalgamation of hardware backends, software stacks, and model precisions, all of which contribute to the intricacy of the model management procedure
What the ONNX ecosystem discovered is that a more dynamic strategy to automating the ongoing integration of these novel, state-of-the-art model architectures is required
AMD is pleased to provide TurnkeyML, an open-source toolchain intended to enhance the way they handle AI models for inferencing, in order to address these issues in partnership with the ONNX community
TurnkeyML’s strength is its automation of open-source AI model import and pre-processing, which saves a tonne of time and work when integrating the models into the ONNX Model repository
TurnkeyML can be accessed by API or CLI to meet a variety of user preferences and automation needs
Tasks like applying model quantization techniques, exporting a PyTorch model to the ONNX format with torch.onnx.export, or optimizing graphs with ONNX Runtime to improve model performance