MACE (Mobile AI Compute Engine) is a deep learning inference framework optimized for mobile heterogeneous computing platforms. MACE provides tools and documents to help users to deploy deep learning models to mobile phones, tablets, personal computers and IoT devices.

Mobile AI Compute Engine (or MACE for short) is a deep learning inference framework optimized for mobile heterogeneous computing on Android, iOS, Linux and Windows devices. The design focuses on the following targets: Runtime is optimized with NEON, OpenCL and Hexagon, and Winograd algorithm is introduced to speed up convolution operations.

MACE (Mobile AI Compute Engine) is a deep learning inference framework optimized for mobile heterogeneous computing platforms. MACE provides tools and documents to help users to deploy deep learning models to mobile

Dec 26, 2023 · The MACE model is defined as a customized model format, similar to Caffe2. The model can be converted from exported models by TensorFlow, Caffe, or ONNX. The MACE Model Zoo is an open source project that hosts different models that find their way in everyday AI tasks, such as ResNet, MobileNet, FastStyleTransfer, and Inception. The repository ...

Deploy your ONNX model using runtimes designed to accelerate inferencing. Fine tune your model for size, accuracy, resource utilization, and performance. Better understand your model by visualizing its computational graph.

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms. - XiaoMi/mace

ONNX is an open format built to represent machine learning models. ONNX defines a common set of operators - the building blocks of machine learning and deep learning models - and a common file format to enable AI developers to use models with a variety of frameworks, tools, runtimes, and compilers.

May 10, 2020 · Before you open an issue, please make sure you have tried the following steps: Make sure your environment is the same with (https://mace.readthedocs.io/en/latest/installation/env_requirement.html)....

Prepare your ONNX model.onnx file. Use ONNX Optimizer Tool to optimize your model for inference.

Jun 27, 2019 · ONNX unlocks the framework dependency for AI models by bringing in a new common representation for any model, which allows easy conversion of a model from one framework to another. Deep learning with neural networks is accomplished through computation over dataflow graphs.