python - pycuda 和 tensorflow 可以一起工作吗？

Question

一旦张量流被激活。即使我使用它也会使每个 cuda 代码崩溃sess.close()......

错误消息是：

pycuda._driver.LogicError：cuFuncSetBlockShape 失败：资源句柄无效

以下代码是 pycuda 运行的简单示例 cuda 代码：
一旦我添加sess = tf.Session(). 我的 cuda 代码崩溃了。没有sess = tf.Session().

import tensorflow as tf
import pycuda.autoinit
import pycuda.driver as drv
import numpy
from pycuda.compiler import SourceModule
mod = SourceModule("""
__global__ void multiply_them(float *dest, float *a, float *b)
{
  const int i = threadIdx.x;
  dest[i] = a[i] * b[i];
}
""")

## tensorflow will make any other cuda code crash............
sess = tf.Session()
sess.close()
## tensorflow will make any other cuda code crash............

multiply_them = mod.get_function("multiply_them")
a = numpy.random.randn(400).astype(numpy.float32)
b = numpy.random.randn(400).astype(numpy.float32)
dest = numpy.zeros_like(a)
multiply_them(drv.Out(dest), drv.In(a), drv.In(b), block=(400,1,1), grid=(1,1))
print (dest-a*b)
print("finish")

有什么建议吗？谢谢~~~

标签： pythontensorflowpycuda