mirror of
https://github.com/saymrwulf/onnxruntime.git
synced 2026-05-15 20:50:42 +00:00
8c40313e28
- removes markdown output - rename intro into index - uses skl2onnx anywhere possible instead of onnxmltools
43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
|
|
# Licensed under the MIT License.
|
|
|
|
"""
|
|
Metadata
|
|
========
|
|
|
|
ONNX format contains metadata related to how the
|
|
model was produced. It is useful when the model
|
|
is deployed to production to keep track of which
|
|
instance was used at a specific time.
|
|
Let's see how to do that with a simple
|
|
logistic regression model trained with
|
|
*scikit-learn* and converted with *sklearn-onnx*.
|
|
"""
|
|
|
|
from onnxruntime.datasets import get_example
|
|
example = get_example("logreg_iris.onnx")
|
|
|
|
import onnx
|
|
model = onnx.load(example)
|
|
|
|
print("doc_string={}".format(model.doc_string))
|
|
print("domain={}".format(model.domain))
|
|
print("ir_version={}".format(model.ir_version))
|
|
print("metadata_props={}".format(model.metadata_props))
|
|
print("model_version={}".format(model.model_version))
|
|
print("producer_name={}".format(model.producer_name))
|
|
print("producer_version={}".format(model.producer_version))
|
|
|
|
#############################
|
|
# With *ONNX Runtime*:
|
|
|
|
from onnxruntime import InferenceSession
|
|
sess = InferenceSession(example)
|
|
meta = sess.get_modelmeta()
|
|
|
|
print("custom_metadata_map={}".format(meta.custom_metadata_map))
|
|
print("description={}".format(meta.description))
|
|
print("domain={}".format(meta.domain, meta.domain))
|
|
print("graph_name={}".format(meta.graph_name))
|
|
print("producer_name={}".format(meta.producer_name))
|
|
print("version={}".format(meta.version))
|