onnx 0.2

v0.2

on Python PyPI

Spec changes

• Type and shape annotations for the model (required for inputs/outputs, optional for internal values)

Breaking changes

onnx.proto underwent breaking changes that makes earlier serialized protobufs invalid. We commit to have all changes to the protobuf structure backward-compatible after this (v0.2) release.

Specific changes:

• Introduction of ModelProto to represent top-level model in addition to GraphProto
• Related API changes renaming graph to model
• Addition of type and optional shape annotations for inputs and outputs of the graph

Operator spec changes

• Added Gemm
• Added Pad
• Added Constant (graduated from experimental to non-experimental)
• In Conv and ConvTranspose renamed attribute “filter” to “weights”
• In Elu added “alpha” attribute
• Concat fixed output number from 2 to 1
• Dropout changed output number from 2 to (1 or 2)
• Added OptimizedRNN operator representing entire RNN stack similarly to CuDNN
• ATen support as an experimental operator that allows to directly represent any PyTorch's tensor functions (which leverage ATen).

New Tutorials

• Usage of ATen operator for quick exporting from PyTorch to Caffe2:
  https://github.com/caffe2/caffe2/blob/master/caffe2/contrib/aten/docs/pytorch_to_caffe2.md
• End-to-end demo of training in PyTorch and deployment to Caffe2: https://github.com/bwasti/AICamera/blob/master/Exporting%20Squeezenet%20to%20mobile.ipynb