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examples/migraphx/migraphx_driver/README.md
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| perf | Compiles and runs input graph then prints performance report |
### Options
| Option | Description |
| ---------------------------------------- | ---------------------------------------------------------------------------------------------- |
| --help \| -h | Show help |
| --model <resnet50\|inceptionv3\|alexnet> | Loads one of the three default models |
| --onnx | Load file as onnx graph |
| --tf | Load file as a tensorflow graph |
| --migraphx | Load file as a migraphx graph |
| --migraphx-json | Load file as a migraphx JSON graph |
| --batch | For a static model, set batch size. For a dynamic batch model, sets the batch size at runtime. |
| --nhwc | Treat tensorflow format as nhwc |
| --nchw | Treat tensorflow format as nchw |
| --skip-unknown-operators | Skip unknown operators when parsing and continue to parse |
| --trim \| -t | Trim instructions from the end |
| --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 | Output to file |
| --fill0 | Fill parameter with 0s |
| --fill1 | Fill parameter with 1s |
| --input-dim | Set static dimensions of a parameter |
| --dyn-input-dim | Set dynamic dimensions of a parameter |
| --default-dyn-dim | Set default dynamic dimension |
| --gpu | Compile on the gpu |
| --cpu | Compile on the cpu |
| --ref | Compile on the reference implementation |
| --enable-offload-copy | Enable implicit offload copying |
| --disable-fast-math | Disable fast math optimization |
| --exhaustive-tune | Enable exhaustive search to find fastest kernel |
| --fp16 | Quantize for fp16 |
| --int8 | Quantize for int8 |
| --rms_tol | Tolerance for the RMS error |
| --atol | Tolerance for elementwise absolute error |
| --rtol | Tolerance for elementwise relative error |
| --per-instruction \| -i | Verify each instruction |
| --reduce \| -r | Reduce program and verify |
| --iterations \| -n | Number of iterations to run for perf report |
| --list \| -l | List all the operators of MIGraphX |
| Option | Description |
| ---------------------------------------- | --------------------------------------------------------- |
| --help \| -h | Show help |
| --model <resnet50\|inceptionv3\|alexnet> | Loads one of the three default models |
| --onnx | Load file as onnx graph |
| --tf | Load file as a tensorflow graph |
| --migraphx | Load file as a migraphx graph |
| --migraphx-json | Load file as a migraphx JSON graph |
| --batch | For a static model, set batch size. For a dynamic batch model, sets the batch size at runtime.|
| --nhwc | Treat tensorflow format as nhwc |
| --nchw | Treat tensorflow format as nchw |
| --skip-unknown-operators | Skip unknown operators when parsing and continue to parse |
| --trim \| -t | Trim instructions from the end |
| --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 | Output to file |
| --fill0 | Fill parameter with 0s |
| --fill1 | Fill parameter with 1s |
| --input-dim | Set static dimensions of a parameter |
| --dyn-input-dim | Set dynamic dimensions of a parameter |
| --default-dyn-dim | Set default dynamic dimension |
| --gpu | Compile on the gpu |
| --cpu | Compile on the cpu |
| --ref | Compile on the reference implementation |
| --enable-offload-copy | Enable implicit offload copying |
| --disable-fast-math | Disable fast math optimization |
| --exhaustive-tune | Enable exhaustive search to find fastest kernel |
| --fp16 | Quantize for fp16 |
| --int8 | Quantize for int8 |
| --rms_tol | Tolerance for the RMS error |
| --atol | Tolerance for elementwise absolute error |
| --rtol | Tolerance for elementwise relative error |
| --per-instruction \| -i | Verify each instruction |
| --reduce \| -r | Reduce program and verify |
| --iterations \| -n | Number of iterations to run for perf report |
| --list \| -l | List all the operators of MIGraphX |
## Usage Examples
The examples below supply a simple MNIST ConvNet as the input graph. Models of higher complexity will have considerably larger outputs in most cases.
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