DXCOM

DXCOM is a compiler SDK by DEEPX that compiles ONNX models into optimized .dxnn binaries for DEEPX NPU (Neural Processing Unit).

It performs hardware-aware quantization, graph optimization, and code generation — all in a single pipeline. The compiled .dxnn file can be deployed and executed on DEEPX NPU via DX-RT (DEEPX Runtime).

Installation

pip install dx-com

Requirements: Python 3.8 – 3.14, Linux (x86_64)

Quick Start

CLI

dxcom -m model.onnx -c config.json -o output/

Argument	Description
`-m`	Path to the ONNX model file
`-c`	Path to the JSON configuration file
`-o`	Output directory for compiled artifacts
`--opt_level`	Optimization level: `0` (fast) or `1` (higher accuracy, default)
`--gen_log`	Generate a compilation log
`-v`	Show version

Python API

import dx_com

dx_com.compile(
    model="model.onnx",
    config="config.json",
    output_dir="output/",
    opt_level=1,
)

Parameters

Parameter	Type	Description
`model`	`str`	Path to the ONNX model file
`config`	`str`	Path to the JSON configuration file
`output_dir`	`str`	Output directory for compiled artifacts
`opt_level`	`int`	Optimization level: `0` (fast) or `1` (higher accuracy). Default: `1`
`calibration_method`	`str`	Calibration method. Options: `minmax`, `percentile`, `mse`, `entropy`
`aggressive_partitioning`	`bool`	Enable aggressive CPU/NPU partitioning. Default: `False`

Documentation

For detailed technical documentation and user manual, visit DEEPX Developer Portal.

License

This software is the proprietary property of DEEPX Ltd. and is provided exclusively to authorized customers with DEEPX NPU hardware. See LICENSE for details.

2.4.0 Jul 23, 2026

2.3.0 May 13, 2026