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.. option:: <input file>
File to load
.. option:: --test
Test MIGraphX with single layer GEMM model
.. option:: --onnx
Load as onnx
.. option:: --tf
Load as tensorflow
.. option:: --migraphx
Load as MIGraphX
.. option:: --migraphx-json
Load as MIGraphX JSON
.. option:: --batch [unsigned int] (Default: 1)
For a static model, set batch size. For a dynamic batch model, sets the batch size at runtime.
.. option:: --nhwc
Treat tensorflow format as nhwc
.. option:: --skip-unknown-operators
Skip unknown operators when parsing and continue to parse.
.. option:: --nchw
Treat tensorflow format as nchw
.. option:: --trim, -t [unsigned int]
Trim instructions from the end (Default: 0)
.. option:: --input-dim [std::vector<std::string>]
Dim of a parameter (format: "@name d1 d2 dn")
.. option:: --dyn-input-dim [std::vector<std::string>]
Set dynamic dimensions of a parameter using JSON formatting (format "@name" "dynamic_dimension_json")
.. option:: --default-dyn-dim
Set the default dynamic dimension (format {min:x, max:y, optimals:[o1,o2,...]})
.. option:: --optimize, -O
Optimize when reading
.. option:: --apply-pass, -p
Passes to apply to model
.. option:: --graphviz, -g
Print out a graphviz representation.
.. option:: --brief
Make the output brief.
.. option:: --cpp
Print out the program as cpp program.
.. option:: --json
Print out program as json.
.. option:: --netron
Print out program as a Netron viewable json file.
.. option:: --text
Print out program in text format.
.. option:: --binary
Print out program in binary format.
.. option:: --py
Print out program using python API.
.. option:: --output, -o [std::string]
Output to file.
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