GPU信息
运行如下代码 比较两个矩阵,取最大值为一个新矩阵
import pycuda.driver as drv
import pycuda.autoinit
import numpy
import numpy.linalg as la
from pycuda import driver, compiler, gpuarray, tools
from pycuda.compiler import SourceModule
import os
if (os.system("cl.exe")):
os.environ['PATH'] += ';'+r"C:\\Program Files (x86)\\Microsoft Visual Studio 14.0\\VC\\bin\\amd64\\"
if (os.system("cl.exe")):
raise RuntimeError("cl.exe still not found, path probably incorrect")
a = numpy.random.randint(0,3,(23600,26919)).astype(numpy.float32)
b = numpy.random.randint(1,4,(23600,26919)).astype(numpy.float32)
a_gpu = gpuarray.to_gpu(a)
b_gpu = gpuarray.to_gpu(b)
result_array_GPU = gpuarray.maximum(a_gpu,b_gpu)
print(a_gpu.get())
print(b_gpu.get())
print(result_array_GPU,type(result_array_GPU.get()))
出现错误 out of memory
查看GPU性能,发现_**共享GPU内存**_还有空间,请问能利用这一块内存吗?如何利用这一块的内存呢
网上看说可以去BOIS总结去设置大小,也有的说当专有GPU内存不够会向共享自动申请
具体我还要怎么操作呢,还请不吝赐教