Question

我刚刚开始通过PyOpenCL学习OpenCL，而且我一直在学习几个教程。我正在编写脚本here。程序执行没有任何错误，但数组的总和不正确。这是确切的代码：

# Use OpenCL To Add Two Random Arrays (This Way Shows Details)

import pyopencl as cl  # Import the OpenCL GPU computing API
import numpy as np  # Import Np number tools

platform = cl.get_platforms()[0]  # Select the first platform [0]
for device in platform.get_devices():
     print device
device = platform.get_devices()[2]  # Select the first device on this platform [0]
context = cl.Context([device])  # Create a context with your device
queue = cl.CommandQueue(context)  # Create a command queue with your context

np_a = np.random.rand(5).astype(np.float32)  # Create a random np array
np_b = np.random.rand(5).astype(np.float32)  # Create a random np array
np_c = np.empty_like(np_a)  # Create an empty destination array

cl_a = cl.Buffer(context, cl.mem_flags.COPY_HOST_PTR, hostbuf=np_a)
cl_b = cl.Buffer(context, cl.mem_flags.COPY_HOST_PTR, hostbuf=np_b)
cl_c = cl.Buffer(context, cl.mem_flags.WRITE_ONLY, np_c.nbytes)
# Create three buffers (plans for areas of memory on the device)

kernel = \
"""
__kernel void sum(__global float* a, __global float* b, __global float* c)
{
    int i = get_global_id(0);
    c[i] = a[i] + b[i];
}
"""  # Create a kernel (a string containing C-like OpenCL device code)

program = cl.Program(context, kernel).build()
# Compile the kernel code into an executable OpenCL program

program.sum(queue, np_a.shape, None, cl_a, cl_b, cl_c)
# Enqueue the program for execution, causing data to be copied to the device
#  - queue: the command queue the program will be sent to
#  - np_a.shape: a tuple of the arrays' dimensions
#  - cl_a, cl_b, cl_c: the memory spaces this program deals with
queue.finish()
np_arrays = [np_a, np_b, np_c]
cl_arrays = [cl_a, cl_b, cl_c]

for x in range(3):
    cl.enqueue_copy(queue, cl_arrays[x], np_arrays[x])

# Copy the data for array c back to the host

arrd = {"a":np_a, "b":np_b, "c":np_c}

for k in arrd:
    print k + ": ", arrd[k]


# Print all three host arrays, to show sum() worked

输出：

<pyopencl.Device 'Intel(R) Core(TM) i7-4870HQ CPU @ 2.50GHz' on 'Apple' at 0xffffffff>
<pyopencl.Device 'Iris Pro' on 'Apple' at 0x1024500>
<pyopencl.Device 'AMD Radeon R9 M370X Compute Engine' on 'Apple' at 0x1021c00>
a:  [ 0.44930401  0.77514887  0.28574091  0.24021916  0.3193087 ]
c:  [ 0.0583559   0.85157514  0.80443901  0.09400933  0.87276274]
b:  [ 0.81869799  0.49566364  0.85423696  0.68896079  0.95608395]

我猜这里发生的事情是数据正在主机和设备之间正确复制，但内核没有被执行。据我和其他教程所理解，代码应该足以执行内核。是否还有其他一些启动内核所需的调用？我不确定这个示例使用的是哪个版本的PyOpenCL，但是我在Mac OS X上从2016.2运行conda-forge。任何帮助都非常感谢。

Answer 1

您已使用错误的参数顺序调用enqueue_copy。你应该这么称呼它：

cl.enqueue_copy(queue, np_arrays[x], cl_arrays[x])

另一方面，您不需要复制输入数组，因为您已在主机上创建它们。

PyOpenCL程序不返回预期的输出

1 个答案: