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69 lines
1.6 KiB
Python
69 lines
1.6 KiB
Python
# Copyright (c) Microsoft Corporation. All rights reserved.
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# Licensed under the MIT License.
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"""
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Draw a pipeline
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===============
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There is no other way to look into one model stored
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in ONNX format than looking into its node with
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*onnx*. This example demonstrates
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how to draw a model and to retrieve it in *json*
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format.
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.. contents::
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:local:
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Retrieve a model in JSON format
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+++++++++++++++++++++++++++++++
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That's the most simple way.
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"""
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from onnxruntime.datasets import get_example
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example1 = get_example("mul_1.onnx")
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import onnx
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model = onnx.load(example1) # model is a ModelProto protobuf message
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print(model)
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#################################
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# Draw a model with ONNX
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# ++++++++++++++++++++++
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# We use `net_drawer.py <https://github.com/onnx/onnx/blob/master/onnx/tools/net_drawer.py>`_
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# included in *onnx* package.
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# We use *onnx* to load the model
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# in a different way than before.
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from onnx import ModelProto
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model = ModelProto()
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with open(example1, 'rb') as fid:
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content = fid.read()
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model.ParseFromString(content)
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###################################
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# We convert it into a graph.
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from onnx.tools.net_drawer import GetPydotGraph, GetOpNodeProducer
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pydot_graph = GetPydotGraph(model.graph, name=model.graph.name, rankdir="LR",
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node_producer=GetOpNodeProducer("docstring"))
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pydot_graph.write_dot("graph.dot")
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#######################################
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# Then into an image
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import os
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os.system('dot -O -Tpng graph.dot')
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################################
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# Which we display...
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import matplotlib.pyplot as plt
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image = plt.imread("graph.dot.png")
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plt.imshow(image)
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