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_doc/examples/plot_dump_intermediate_results.py

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# All the intermediate tensors were saved in one unique onnx model,
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# every tensor is stored in a constant node.
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# The model can be run with any runtime to restore the inputs
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# and function :func:`onnx_diagnostic.helpers.mini_onnx_builder.create_input_tensors_from_onnx_model`
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# and function :func:`create_input_tensors_from_onnx_model
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# <onnx_diagnostic.helpers.mini_onnx_builder.create_input_tensors_from_onnx_model>`
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# can restore their names.
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saved_tensors = create_input_tensors_from_onnx_model(

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