在计算完成后,及时释放显存可以提高 GPU 资源的利用率。 importcupyascp# 创建一个大型 CuPy 数组x=cp.random.rand(10000,10000)# 创建一个 10000x10000 的随机 CuPy 数组# 使用数组y=cp.dot(x,x)# 计算矩阵乘法# 释放显存delx# 删除 xcp.get_default_memory_pool().free_all_blocks()# 释放所有显存块#...
例如,当GPU内存不足时,cupy可能会自动将变量移动到主机内存,这可能导致变量值的改变。 解决方法:确保在使用cupy之前,先分配足够的GPU内存来存储变量和计算结果。可以使用cupy.cuda.Device().mem_alloc()来手动分配内存,并使用cupy.cuda.Device().mem_free()来释放内存。 程序逻辑错误:变量值无端更改也可能是由于...
无法在CuPy中禁用内核缓存。唯一可用的选项是禁用磁盘上的持久化内核缓存(CUPY_CACHE_IN_MEMORY=1)，但...
One such example isTorchSWE, a GPU-accelerated shallow-water equation solver developed by Pi-Yueh Chuang and Dr. Lorena Barba. TorchSWE solves vertically averaged Navier-Stokes equations and can simulate free-surface water flow in rivers, channels, and coastal areas, as well as model flood inund...
默认情况下,CuPy使用内存池进行内存分配。 内存池通过减轻内存分配和CPU / GPU同步的开销,显著提高了性能。 内存池预先规划一定数量的存储器区块,使得整个程序可以在运行期规划 (allocate)、使用 (access)、归还 (free) 存储器区块。 CuPy中有两个不同的内存池: ...
Cupy的cupy.cuda.Device模块可以用来管理GPU设备,包括选择使用哪个设备、设备上的内存管理等。 device = cp.cuda.Device(0) #选择使用第一个GPU设备 device.use()#使用该设备 memory = cp.cuda.Memory() #获取该设备的内存信息 b.原子操作 Cupy的cupy.cuda.AtomicAdd函数可以实现原子加法操作,避免多个线程同时对...
Feel free to join the channel to talk with developers and users! Changes Enhancements Remove memory copy in matmul (#6241) Fix cupy.linalg.qr to align with NumPy 1.22 (#6263) Bug Fixes Fix edge case compatibility in cupy.eye() (#6213) Fix compile_with_cache returning None (#6236) ...
So it is strange that cupy is not releasing the memory Thanks EDIT: when calling free_all_blocks(), after many executions of the loop, the following error happened, causing the process never to recover. cpu_output = gpu_output.get() File "cupy/core/core.pyx", line 1422, in cupy.core...
Description In the docs, there's a mention of some caching "When you monitor the memory usage (e.g., using nvidia-smi for GPU memory or ps for CPU memory), you may notice that memory not being freed even after the array instance become o...
Increase host memory in Windows CI, free GPU memory in example code (#8969) Skip some signal tests for TypeError for inputs of np.longlong dtype (#8972) Add CI for Python 3.13 and mpi4py v4 (#8974) Pass locals dict to exec (#8985) Others Add backport reminder (#8684) Fix script...