ModelProto Properties#

A ModelProto, in ONNX, usually stores extra information beyond the computational graph, such as ir_version or producer_name. Such properties of a generated ModelProto can be set by passing in extra named parameters to the call to script (or the call to to_model_proto), as illustrated by the example below. Only the valid fields defined in the protobuf message ModelProto should be specified in this fashion.

First, we define the implementation of a square-loss function in onnxscript.

import onnx

from onnxscript import FLOAT, script
from onnxscript import opset15 as op

@script(ir_version=7, producer_name="OnnxScript", producer_version="0.1")
def square_loss(X: FLOAT["N"], Y: FLOAT["N"]) -> FLOAT[1]:  # noqa: F821
    diff = X - Y
    return op.ReduceSum(diff * diff, keepdims=1)
square_loss: Already defined.

Let’s see what the generated model looks like.

model = square_loss.to_model_proto()
   ir_version: 7,
   opset_import: ["" : 15],
   producer_name: "OnnxScript",
   producer_version: "0.1"
square_loss (float[N] X, float[N] Y) => (float[1] return_val) {
   diff = Sub (X, Y)
   tmp = Mul (diff, diff)
   return_val = ReduceSum <keepdims: int = 1> (tmp)

Total running time of the script: (0 minutes 0.002 seconds)

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