How to adjust a Neural Networks metadata - Revision history

Frank@tygron.nl at 15:03, 19 December 2024

2024-12-19T15:03:31Z

← Older revision		Revision as of 15:03, 19 December 2024
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	{{article end		{{article end
	\|seealso=*[[Neural Network]]		\|seealso=*[[Neural Network]]
			*[[ONNX]]
	}}		}}
	{{InferenceOverlay nav}}		{{InferenceOverlay nav}}

Frank@tygron.nl at 15:03, 19 December 2024

2024-12-19T15:03:05Z

← Older revision		Revision as of 15:03, 19 December 2024
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	Metadata of a Neural Network stored in the ONNX file format can be adjusted using the python code found below.		Metadata of a Neural Network stored in the [[ONNX]] file format can be adjusted using the python code found below.

	==Prerequisites==		==Prerequisites==

Frank@tygron.nl at 13:41, 19 December 2024

2024-12-19T13:41:10Z

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	\|seealso=*[[Neural Network]]		\|seealso=*[[Neural Network]]
	}}		}}
	{{~~Inference Overlay~~ nav}}		{{InferenceOverlay nav}}

Frank@tygron.nl at 13:40, 19 December 2024

2024-12-19T13:40:54Z

← Older revision		Revision as of 13:40, 19 December 2024
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	onnxModel.doc_string = description		onnxModel.doc_string = description
	</pre>		</pre>

			{{article end
			\|seealso=*[[Neural Network]]
			}}
			{{Inference Overlay nav}}

Frank@tygron.nl: /* Prerequisites */

2024-12-19T13:40:14Z

Prerequisites

← Older revision		Revision as of 13:40, 19 December 2024
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	<pre>pip install onnx </pre>		<pre>pip install onnx </pre>

	~~Add~~ a metadata key (without duplication):		To add or edit a metadata key (without duplication), you can use the following code:
	<pre>		<pre>
	def addMeta(onnx_model, key, value):		def addMeta(onnx_model, key, value):
Line 20:		Line 20:
	</pre>		</pre>

			To adjust an existing ONNX file, you first have to load the model. Next, pass the model to the method, with additional key and value arguments.
	<pre>		<pre>
	import onnx		import onnx
Line 25:		Line 26:
	addMeta(onnxModel, "key", "value")		addMeta(onnxModel, "key", "value")
	</pre>		</pre>
	~~Save~~ the onnx model to file:
			Lastly, save the onnx model again to a (new) file:
	<pre>		<pre>
	with open(onnxFilePath, "wb") as f:		with open(onnxFilePath, "wb") as f:
	f.write(onnx_model.SerializeToString())		f.write(onnx_model.SerializeToString())
	</pre>		</pre>
	Producer, version and description are set using these functions
			Producer, version and description are set using these functions, as these are not stored in the meta data.
	<pre>		<pre>
	def setProducer(onnxModel, producer):		def setProducer(onnxModel, producer):

Frank@tygron.nl: /* Prerequisites */

2024-12-19T13:38:18Z

Prerequisites

← Older revision		Revision as of 13:38, 19 December 2024
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	==Prerequisites==		==Prerequisites==
	An installed python environment is required to execute the code.		An installed [https://en.wikipedia.org/wiki/Python_(programming_language) python] environment is required to execute the code.
	Additionally, install the onnx library using [https://en.wikipedia.org/wiki/Pip_%28package_manager%29 PIP]:		Additionally, install the onnx library using [https://en.wikipedia.org/wiki/Pip_%28package_manager%29 PIP]:
	<pre>pip install onnx </pre>		<pre>pip install onnx </pre>

Frank@tygron.nl at 13:37, 19 December 2024

2024-12-19T13:37:54Z

← Older revision		Revision as of 13:37, 19 December 2024
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	~~Required~~ install:		Metadata of a Neural Network stored in the ONNX file format can be adjusted using the python code found below.

			==Prerequisites==
			An installed python environment is required to execute the code.
			Additionally, install the onnx library using [https://en.wikipedia.org/wiki/Pip_%28package_manager%29 PIP]:
	<pre>pip install onnx </pre>		<pre>pip install onnx </pre>


	Add a metadata key (without duplication):		Add a metadata key (without duplication):

Frank@tygron.nl at 12:48, 19 December 2024

2024-12-19T12:48:43Z

← Older revision		Revision as of 12:48, 19 December 2024
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			Required install:
			<pre>pip install onnx </pre>

	~~<pre>~~
	~~import onnx~~
	~~onnx_model = onnx.load(onnxModelName)~~
	~~</pre>~~

	Add a metadata key (without duplication):		Add a metadata key (without duplication):
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	meta = onnx_model.metadata_props.add()		meta = onnx_model.metadata_props.add()
	meta.key = key		meta.key = key
	meta.value = value		meta.value = value
	</pre>		</pre>

			<pre>
			import onnx
			onnx_model = onnx.load("path/to/onnx/file")
			addMeta(onnxModel, "key", "value")
			</pre>
	Save the onnx model to file:		Save the onnx model to file:
	<pre>		<pre>
	with open(onnxFilePath, "wb") as f:		with open(onnxFilePath, "wb") as f:
	f.write(onnx_model.SerializeToString())		f.write(onnx_model.SerializeToString())
			</pre>
			Producer, version and description are set using these functions
			<pre>
			def setProducer(onnxModel, producer):
			onnxModel.producer_name = producer

			def setModelVersion(onnxModel, modelVersion):
			onnxModel.model_version = modelVersion

			def setDocString(onnxModel, description):
			onnxModel.doc_string = description
	</pre>		</pre>

Frank@tygron.nl at 12:39, 19 December 2024

2024-12-19T12:39:04Z

@@ Line 2: / Line 2: @@
 <pre>
 import onnx
 </pre>

Frank@tygron.nl: Created page with "

 import onnx

Save the onnx model to file:

 with open(onnxFilePath, "wb") as f:     f.write(onnx_model.SerializeToString())

2024-12-19T12:07:56Z

Created page with " <pre> import onnx </pre> Save the onnx model to file: <pre> with open(onnxFilePath, "wb") as f: f.write(onnx_model.SerializeToString()) </pre>"

New page

<pre>
import onnx

</pre>

Save the onnx model to file:
<pre>
with open(onnxFilePath, "wb") as f:
f.write(onnx_model.SerializeToString())
</pre>

How to adjust a Neural Networks metadata - Revision history

Frank@tygron.nl at 15:03, 19 December 2024

Frank@tygron.nl at 15:03, 19 December 2024

Frank@tygron.nl at 13:41, 19 December 2024

Frank@tygron.nl at 13:40, 19 December 2024

Frank@tygron.nl: /* Prerequisites */

Frank@tygron.nl: /* Prerequisites */

Frank@tygron.nl at 13:37, 19 December 2024

Frank@tygron.nl at 12:48, 19 December 2024

Frank@tygron.nl at 12:39, 19 December 2024

Frank@tygron.nl: Created page with " import onnx Save the onnx model to file: with open(onnxFilePath, "wb") as f: f.write(onnx_model.SerializeToString()) "

Frank@tygron.nl: Created page with "
import onnx
Save the onnx model to file:
with open(onnxFilePath, "wb") as f: f.write(onnx_model.SerializeToString())
"