操作系统:win10
VS:visual stadio2015 64bit
CUDA:CUDA8.0
python:python2.7.12 64bit(pycuda)
我关注了这个网站, https://documen.tician.de/pycuda/tutorial.html#getting-started
import pycuda.driver as cuda
import pycuda.autoinit
from pycuda.compiler import SourceModule
import numpy
a = numpy.random.randn(4,4)
a = a.astype(numpy.float32)
a_gpu = cuda.mem_alloc(a.nbytes)
cuda.memcpy_htod(a_gpu,a)#transfer the data to the GPU
#executing a kernel
#function: write code to double each entry in a_gpu.
#we write the corresponding CUDA C code, and feed it into the constructor of pycuda.compiler.SourceModule
mod = SourceModule("""
__global__ void doublify(float *a)
{
int idx = threadIdx.x + threadIdx.y*4;
a[idx] *= 2;
}
""")
#If there aren’t any errors, the code is now compiled and loaded onto the device. We find a reference to our pycuda.driver.Function and call it, specifying a_gpu as the argument, and a block size of 4x4:
func = mod.get_function("doublify")
func(a_gpu, block=(4,4,1))
#Finally, we fetch the data back from the GPU and display it, together with the original a:
a_doubled = numpy.empty_like(a)
cuda.memcpy_dtoh(a_doubled, a_gpu)
print a_doubled
print a
但是,失败了错误:
Traceback (most recent call last):
File "G:/myworkspace/python2.7/cuda/test.py", line 24, in <module>
""")
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 265, in __init__
arch, code, cache_dir, include_dirs)
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 255, in compile
return compile_plain(source, options, keep, nvcc, cache_dir, target)
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 137, in compile_plain
stderr=stderr.decode("utf-8", "replace"))
CompileError: nvcc compilation of c:\users\gl\appdata\local\temp\tmp8poxqp\kernel.cu failed
[command: nvcc --cubin -arch sm_50 -m64 -Id:\python2.7\lib\site-packages\pycuda\cuda kernel.cu]
[stdout:
nvcc fatal : Cannot find compiler 'cl.exe' in PATH
]
有人说要将cl.exe的目录添加到环境中。我做了,错误是一样的。我是CUDA的新手。我怎么能解决这个问题?一些建议?
我做了@citizenSNIPS建议:
添加cl.exe的路径,D:\ vs2015 \ VC \ bin。
INCLUDE = C:\ Program Files(x86)\ Windows Kits \ 10 \ Include \ 10.0.10240.0 \ ucrt。
LIB = C:\ Program Files(x86)\ Windows Kits \ 10 \ Lib \ 10.0.10240.0 \ ucrt \ x64(我找不到C:\ Program Files(x86)\ Windows Kits \ 10 \ Lib \我计算机中的10.0.10240.0 \ um \ x64。
出现了以下新错误:
raceback (most recent call last):
File "G:\myworkspace\python2.7\cuda\test.py", line 24, in <module>
""")
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 265, in __init__
arch, code, cache_dir, include_dirs)
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 255, in compile
return compile_plain(source, options, keep, nvcc, cache_dir, target)
File "D:\python2.7\lib\site-packages\pycuda\compiler.py", line 147, in compile_plain
+ (stdout+stderr).decode("utf-8", "replace"), stacklevel=4)
File "D:\python2.7\lib\idlelib\run.py", line 36, in idle_showwarning_subproc
message, category, filename, lineno, line))
File "D:\python2.7\lib\idlelib\PyShell.py", line 65, in idle_formatwarning
s += "%s: %s\n" % (category.__name__, message)
UnicodeEncodeError: 'ascii' codec can't encode characters in position 147-168: ordinal not in range(128)
现在我正在解决这个问题,也许是因为我没有添加C:\ Program Files(x86)\ Windows Kits \ 10 \ Lib \ 10.0.10240.0 \ um \ x64?
答案 0 :(得分:1)
您需要指定cl.exe的路径。
在系统变量下,找到PATH,单击编辑,然后添加cl.exe的路径。它应该是:
C:\ Program Files(x86)\ Microsoft Visual Studio 14.0 \ VC \ bin \
确保在安装visual studio时,您选择安装'c ++'编译器。它默认不安装。如果没有,请重新运行visual studio安装程序并选择安装c ++编译器。
完成后,您可能需要添加以下系统变量
INCLUDE = C:\ Program Files(x86)\ Windows Kits \ 10 \ Include \ 10.0.10240.0 \ ucrt
LIB = C:\ Program Files(x86)\ Windows Kits \ 10 \ Lib \ 10.0.10240.0 \ um \ x64; C:\ Program Files(x86)\ Windows Kits \ 10 \ Lib \ 10.0.10240.0 \ ucrt \ 64
请参阅此帖子here
答案 1 :(得分:1)
我在.py
中添加这些代码import sys
reload(sys)
sys.setdefaultencoding('utf8')
并运行,没有错误
答案 2 :(得分:1)
您还可以在python文件中添加cl.exe
的路径。如果您的MSVS版本发生变化,则必须更改它。
示例:
import os
if (os.system("cl.exe")):
os.environ['PATH'] += ';'+r"C:\Program Files (x86)\Microsoft Visual Studio\2017\Community\VC\Tools\MSVC\14.11.25503\bin\HostX64\x64"
if (os.system("cl.exe")):
raise RuntimeError("cl.exe still not found, path probably incorrect")
编辑:您需要运行与CUDA兼容的MSVS版本。即CUDA v9.0不支持MSVS2017,CUDA v9.1仅支持15.4版本,不支持更高版本。通过从Visual Studio的Native Tools命令提示符运行nvcc.exe
来尝试它是否有效。