usage: ovc INPUT_MODEL... [-h] [--output_model OUTPUT_MODEL] [--compress_to_fp16 [True | False]] [--version]
           [--input INPUT] [--output OUTPUT] [--extension EXTENSION] [--verbose] [--dynamo]

positional arguments:
  INPUT_MODEL           Input model file(s) from PyTorch (ExportedProgram saved on a disk),
                        TensorFlow, ONNX, PaddlePaddle. Use openvino.convert_model in Python to
                        convert models from PyTorch.

options:
  -h, --help            show this help message and exit
  --output_model OUTPUT_MODEL
                        This parameter is used to name output .xml/.bin files of converted model.
                        Model name or output directory can be passed. If output directory is
                        passed, the resulting .xml/.bin files are named by original model name.
  --compress_to_fp16 [True | False]
                        Compress weights in output OpenVINO model to FP16. To turn off compression
                        use "--compress_to_fp16=False" command line parameter. Default value is
                        True.
  --version             Print ovc version and exit.
  --input INPUT         Information of model input required for model conversion. This is a comma
                        separated list with optional input names and shapes. The order of inputs
                        in converted model will match the order of specified inputs. The shape is
                        specified as comma-separated list. Example, to set `input_1` input with
                        shape [1,100] and `sequence_len` input with shape [1,?]:
                        "input_1[1,100],sequence_len[1,?]", where "?" is a dynamic dimension,
                        which means that such a dimension can be specified later in the runtime.
                        If the dimension is set as an integer (like 100 in [1,100]), such a
                        dimension is not supposed to be changed later, during a model conversion
                        it is treated as a static value. Example with unnamed inputs:
                        "[1,100],[1,?]".
  --output OUTPUT       One or more comma-separated model outputs to be preserved in the converted
                        model. Other outputs are removed. If `output` parameter is not specified
                        then all outputs from the original model are preserved. Do not add :0 to
                        the names for TensorFlow. The order of outputs in the converted model is
                        the same as the order of specified names. Example: ovc model.onnx
                        output=out_1,out_2
  --extension EXTENSION
                        Paths or a comma-separated list of paths to libraries (.so or .dll) with
                        extensions.
  --verbose             Print detailed information about conversion.
  --dynamo              Export a PyTorch torch.nn.Module using torch.export instead of
                        torch.jit.trace. Requires example_input and PyTorch >= 2.6. Default is
                        False. The resulting model uses static shapes derived from example_input
                        by default. To enable dynamic dimensions, combine with the input
                        parameter: dimensions set to -1 or Dimension(-1) become fully dynamic
                        (torch.export.Dim.AUTO), and bounded dimensions such as Dimension(1, 10)
                        are exported with explicit min/max constraints.