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Mar 1, 2022
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Add load_op_libraries parameter in docs #1853

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127f9bc
add load_op_libraries in docs
hwangdeyu Feb 16, 2022
b72874c
change path to tensorflow_library_path
hwangdeyu Feb 18, 2022
6bb2fae
clear the description
hwangdeyu Feb 24, 2022
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5 changes: 5 additions & 0 deletions README.md
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Expand Up @@ -140,6 +140,7 @@ python -m tf2onnx.convert
[--concrete_function CONCRETE_FUNCTION]
[--target TARGET]
[--custom-ops list-of-custom-ops]
[--load_op_libraries tensorflow_library_path]
[--large_model]
[--continue_on_error]
[--verbose]
Expand Down Expand Up @@ -225,6 +226,10 @@ runtime can still open the model. The format is a comma-separated map of tf op n
OpName:domain. If only an op name is provided (no colon), the default domain of `ai.onnx.converters.tensorflow`
will be used.

#### --load_op_libraries

Load the comma-separated list of tensorflow plugin/op libraries before conversion.

#### --target

Some models require special handling to run on some runtimes. In particular, the model may use unsupported data types. Workarounds are activated with ```--target TARGET```. Currently supported values are listed on this [wiki](https://github.com/onnx/tensorflow-onnx/wiki/target). If your model will be run on Windows ML, you should specify the appropriate target value.
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4 changes: 2 additions & 2 deletions tf2onnx/convert.py
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Expand Up @@ -69,9 +69,9 @@ def get_args():
parser.add_argument("--use-graph-names", help="(saved model only) skip renaming io using signature names",
action="store_true")
parser.add_argument("--opset", type=int, default=None, help="opset version to use for onnx domain")
parser.add_argument("--dequantize", help="Remove quantization from model. Only supported for tflite currently.",
parser.add_argument("--dequantize", help="remove quantization from model. Only supported for tflite currently.",
action="store_true")
parser.add_argument("--custom-ops", help="Comma-separated map of custom ops to domains in format OpName:domain. "
parser.add_argument("--custom-ops", help="comma-separated map of custom ops to domains in format OpName:domain. "
"Domain 'ai.onnx.converters.tensorflow' is used by default.")
parser.add_argument("--extra_opset", default=None,
help="extra opset with format like domain:version, e.g. com.microsoft:1")
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