boundlab.utils.onnx_export#
- boundlab.utils.onnx_export(f, args, kwargs={}, input_names=None, output_names=None)[source]#
Export a PyTorch function to ONNX format.
Examples
>>> import torch >>> from boundlab.utils import onnx_export >>> def f(x): ... return x @ x.T ... >>> model_proto = onnx_export(f, [3, 4]) >>> list(model_proto.graph)[0].op_type 'MatMul'