zhutian
55 lines
1.7 KiB
Markdown
55 lines
1.7 KiB
Markdown
ONNX-Tensorflow Command Line Interface
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======
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## Available commands:
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- convert
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More information: `onnx-tf -h`
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```
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usage: onnx-tf [-h] {convert}
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ONNX-Tensorflow Command Line Interface
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positional arguments:
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{convert} Available commands.
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optional arguments:
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-h, --help show this help message and exit
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```
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## Usage:
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### Convert:
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#### From ONNX to Tensorflow:
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`onnx-tf convert -i /path/to/input.onnx -o /path/to/output.pb`
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More information: `onnx-tf convert -h`
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```
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usage: onnx-tf [-h] --infile INFILE --outfile OUTFILE [--device DEVICE]
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[--strict STRICT] [--logging_level LOGGING_LEVEL]
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This is the converter for converting protocol buffer between tf and onnx.
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optional arguments:
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-h, --help show this help message and exit
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--infile INFILE, -i INFILE
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Input file path.
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--outfile OUTFILE, -o OUTFILE
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Output file path.
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backend arguments (onnx -> tf):
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--device DEVICE The device to execute this model on. (from
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onnx_tf.backend.prepare)
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--strict STRICT Whether to enforce semantic equivalence between the
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original model and the converted tensorflow model,
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defaults to True (yes, enforce semantic equivalence).
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Changing to False is strongly discouraged. Currently,
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the strict flag only affects the behavior of MaxPool
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and AveragePool ops. (from onnx_tf.backend.prepare)
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--logging_level LOGGING_LEVEL
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The logging level, default is INFO. Change it to DEBUG
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to see more conversion details or to WARNING to see
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less (from onnx_tf.backend.prepare)
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```
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