2 个仓库
Pushing runtime libraries and setting library paths to execute models on specific hardware devices.
Distinct from Device Runtime Managers: Distinct from Device Runtime Managers: focuses on the deployment step of pushing binaries to a device, not runtime management.
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ExecuTorch is a lightweight C++ runtime for deploying PyTorch models on mobile, embedded, and edge hardware. It provides an ahead-of-time compilation pipeline that exports, quantizes, and lowers model graphs into compact serialized programs, then executes them through a minimal runtime with hardware acceleration and on-device large language model inference capabilities. The project distinguishes itself through a hardware accelerator delegate system that partitions model subgraphs and offloads computation to specialized backends including NPUs, GPUs, and DSPs from Apple, Arm, Intel, MediaTek,
Pushes shared libraries and sets library paths so the runtime can execute models on a MediaTek device.
umu-launcher is a suite of tools designed to launch Windows game binaries on Linux systems. It serves as a runtime orchestrator and compatibility layer launcher that enables cross-platform software execution. The project manages game compatibility through a fix manager that retrieves and applies specific patches and configurations based on unique store identifiers. It also functions as a data isolation tool, allowing for the specification of custom directory paths to keep game configurations and save data separate from the host system. The system automates the deployment of runtime environme
Handles the automated deployment of required runtime libraries and paths to enable game execution.