1. 什么是CUDA延迟加载(Lazy Loading)? CUDA延迟加载(Lazy Loading)是一种优化技术,它允许CUDA程序在需要时才加载CUDA设备(如GPU)的驱动程序和相关资源。这种技术旨在减少程序启动时的开销,特别是当CUDA功能不是程序立即需要时。通过延迟加载,程序可以更快地启动,并且只在确实需要使用CUDA加速时才初始化CUDA设备。 2...
For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt): set CUDA_MODULE_LOADING=LAZYCollaborator zerollzeng commented May 27, 2023 Try "export CUDA_MODULE_LOADING=LAZY" zerollzeng self-assigned this May 27, 2023 zerollzeng added the triaged label May 27, 2...
A feature NVIDIA initially introduced in CUDA 11.7 as an opt-in, lazy loading is now enabled by default on Linux with the R535 driver and beyond. Lazy loading can substantially reduce both the host and device memory footprint by loading only CUDA kernels and library functions as needed....
0,0], thread: [25,0,0] Assertion `idx_dim >= 0 && idx_dim < index_si...
Lazy loading is not enabled in the CUDA stack by default in this release. To evaluate it for your application, run with the environment variable CUDA_MODULE_LOADING=LAZY set. Compatibility CUDA minor version compatibility is a feature introduced in 11.x that gives you the flexibility to dynamica...
Late-attaching with cuda-gdb to an application executing with lazy loading enabled is unsupported in this release. Full support for Nsight Compute, Compute Sanitizer and cuda-gdb will be added in a later release. 2. CUDA Libraries This section covers CUDA Libraries release notes for 11.x ...
: CPU +0, GPU +3, now: CPU 0, GPU 3 (MiB) [12/06/2022-14:28:23] [TRT] [I] [MemUsageChange] TensorRT-managed allocation in IExecutionContext creation: CPU +0, GPU +5, now: CPU 0, GPU 8 (MiB) [12/06/2022-14:28:23] [TRT] [W] CUDA lazy loading is not enabled. ...
▶ Add support for debugging applications using CUDA Lazy Loading. ▶ Debugger is now enabled on Windows Subsystem for Linux (WSL). ▶ Add basic type support for printing FP8 values (E4M3 and E5M2). Notes ▶ By default, cuda-gdb will use the new Unified Debugger (UD) backend. ...
if is_initialized(): return # It is important to prevent other threads from entering _lazy_init # immediately, while we are still guaranteed to have the GIL, because some # of the C calls we make below will release the GIL if _is_in_bad_fork(): raise RuntimeError( "Cannot re-...
All libraries used with lazy loading must be built with 11.7+ to be eligible for lazy loading. Lazy loading is not enabled in the CUDA stack by default in this release. To evaluate it for your application, run with the environment variableCUDA_MODULE_LOADING=LAZYset. ...