Contents

<input file>#

File to load

--model [resnet50|inceptionv3|alexnet]#

Load model

--onnx#

Load as onnx

--tf#

Load as tensorflow

--migraphx#

Load as MIGraphX

--migraphx-json#

Load as MIGraphX JSON

--batch [unsigned int] (Default: 1)#

For a static model, set batch size. For a dynamic batch model, sets the batch size at runtime.

--nhwc#

Treat tensorflow format as nhwc

--skip-unknown-operators#

Skip unknown operators when parsing and continue to parse.

--nchw#

Treat tensorflow format as nchw

--trim, -t [unsigned int]#

Trim instructions from the end (Default: 0)

--input-dim [std::vector<std::string>]#

Dim of a parameter (format: “@name d1 d2 dn”)

Set dynamic dimensions of a parameter using JSON formatting (format “@name” “dynamic_dimension_json”)

Set the default dynamic dimension (format {min:x, max:y, optimals:[o1,o2,…]})

--optimize, -O#

Optimize when reading

--graphviz, -g#

Print out a graphviz representation.

--brief#

Make the output brief.

--cpp#

Print out the program as cpp program.

--json#

Print out program as json.

--text#

Print out program in text format.

--binary#

Print out program in binary format.

--output, -o [std::string]#

Output to file.