Compile Tool

Compile tool is a C++ application that enables you to compile a network for inference on a specific device and export it to a binary file. With the Compile Tool, you can compile a network using supported Inference Engine plugins on a machine that doesn't have the physical device connected and then transfer a generated file to any machine with the target inference device available.

The tool compiles networks for the following target devices using corresponding Inference Engine plugins:

• Intel® Neural Compute Stick 2 (MYRIAD plugin)

NOTE: Intel® Distribution of OpenVINO™ toolkit no longer supports the Intel® Vision Accelerator Design with an Intel® Arria® 10 FPGA and the Intel® Programmable Acceleration Card with Intel® Arria® 10 GX FPGA. To compile a network for those devices, use the Compile Tool from the Intel® Distribution of OpenVINO™ toolkit 2020.3 LTS release.

The tool is delivered as an executable file that can be run on both Linux* and Windows*. The tool is located in the <INSTALLROOT>/deployment_tools/tools/compile_tool directory.

The workflow of the Compile tool is as follows:

1. First, the application reads command-line parameters and loads a network to the Inference Engine device.
2. The application exports a blob with the compiled network and writes it to the output file.

## Run the Compile Tool

Running the application with the -h option yields the following usage message:

./compile_tool -h
Inference Engine:
API version ............ 2.1
Build .................. custom_vv/compile-tool_8b57af00330063c7f302aaac4d41805de21fc54a
Description ....... API
compile_tool [OPTIONS]
Common options:
-h Optional. Print the usage message.
-m <value> Required. Path to the XML model.
-d <value> Required. Specify a target device for which executable network will be compiled.
Use "-d HETERO:<comma-separated_devices_list>" format to specify HETERO plugin.
Use "-d MULTI:<comma-separated_devices_list>" format to specify MULTI plugin.
The application looks for a suitable plugin for the specified device.
-o <value> Optional. Path to the output file. Default value: "<model_xml_file>.blob".
-c <value> Optional. Path to the configuration file.
-ip <value> Optional. Specifies precision for all input layers of the network.
-op <value> Optional. Specifies precision for all output layers of the network.
-iop "<value>" Optional. Specifies precision for input and output layers by name.
Example: -iop "input:FP16, output:FP16".
Notice that quotes are required.
Overwrites precision from ip and op options for specified layers.
-il <value> Optional. Specifies layout for all input layers of the network.
-ol <value> Optional. Specifies layout for all input layers of the network.
-iol "<value>" Optional. Specifies layout for input and output layers by name.
Example: -iol "input:NCHW, output:NHWC".
Notice that quotes are required.
Overwrites layout from il and ol options for specified layers.
-VPU_NUMBER_OF_SHAVES <value> Optional. Specifies number of shaves.
Should be set with "VPU_NUMBER_OF_CMX_SLICES".
Overwrites value from config.
-VPU_NUMBER_OF_CMX_SLICES <value> Optional. Specifies number of CMX slices.
Should be set with "VPU_NUMBER_OF_SHAVES".
Overwrites value from config.
-VPU_TILING_CMX_LIMIT_KB <value> Optional. Specifies CMX limit for data tiling.
Value should be equal or greater than -1.
Overwrites value from config.

Running the application with the empty list of options yields an error message.

For example, to compile a blob for inference on an Intel® Neural Compute Stick 2 from a trained network, run the command below:

To import a blob with the network from a generated file into your application, use the InferenceEngine::Core::ImportNetwork method: