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ZENODO
Software . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2024
License: CC BY
Data sources: Datacite
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Tools to convert ONNX files (NCHW) to TensorFlow format (NHWC)

Authors: Hyodo, Katsuya;

Tools to convert ONNX files (NCHW) to TensorFlow format (NHWC)

Abstract

Add -inimc / --input_names_to_interrupt_model_conversion option. By specifying ONNX input or output names, only the middle part of the model can be converted. This is useful when you want to see what output is obtained in what part of the model after conversion, or when debugging the model conversion operation itself. For example, take a model with multiple inputs and multiple outputs as shown in the figure below to try a partial transformation. To convert by specifying only the input name to start the conversion wget https://github.com/PINTO0309/onnx2tf/releases/download/1.25.0/cf_fus.onnx onnx2tf -i cf_fus.onnx -inimc 448 -coion To convert by specifying only the output name to end the conversion wget https://github.com/PINTO0309/onnx2tf/releases/download/1.25.0/cf_fus.onnx onnx2tf -i cf_fus.onnx -onimc dep_sec -coion To perform a conversion by specifying the input name to start the conversion and the output name to end the conversion wget https://github.com/PINTO0309/onnx2tf/releases/download/1.25.0/cf_fus.onnx onnx2tf -i cf_fus.onnx -inimc 448 -onimc velocity -coion What's Changed Add -inimc option by @PINTO0309 in https://github.com/PINTO0309/onnx2tf/pull/667 Full Changelog: https://github.com/PINTO0309/onnx2tf/compare/1.25.0...1.25.1

If you use onnx2tf in your research, please cite it using these metadata.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average