pyopencl

问题 I have a piece of kernel source which runs on the G970 on my PC but won't compile on my early 2015 MacBook pro with Iris 6100 1536MB graphic. platform = cl.get_platforms()[0] device = platform.get_devices()[1] # Get the GPU ID ctx = cl.Context([device]) # Tell CL to use GPU queue = cl.CommandQueue(ctx) # Create a command queue for the target device. # program = cl.Program(ctx, kernelsource).build() print platform.get_devices() This get_devices() show I have 'Intel(R) Core(TM) i5-5287U CPU @ 2

问题 I'm trying to understand shared memory by playing with the following code: import pycuda.driver as drv import pycuda.tools import pycuda.autoinit import numpy from pycuda.compiler import SourceModule src=''' __global__ void reduce0(float *g_idata, float *g_odata) { extern __shared__ float sdata[]; // each thread loads one element from global to shared mem unsigned int tid = threadIdx.x; unsigned int i = blockIdx.x*blockDim.x + threadIdx.x; sdata[tid] = g_idata[i]; __syncthreads(); // do

问题 Probably extremely simple question here, but I've been searching for it for hours with nothing to show for. I have this piece of code, I'd like to have a 256-bit (8 uint32) bitstring_gpu as a localmemory pointer in the device: def Get_Bitstring_GPU_Buffer(ctx, bitstring): bitstring_gpu = cl.Buffer(ctx, mem_flags.READ_ONLY | mem_flags.COPY_HOST_PTR, hostbuf=bitstring) return bitstring_gpu This is later used on a kernel call: prg.get_active_hard_locations_64bit(queue, (HARD_LOCATIONS,), None,

问题 I want to construct an OpenCL 3D RGBA image from a numpy array, using pyopencl. I know about the cl.image_from_array() function, that basically does exactly that, but doesn't give any control about command queues or events, that is exposed by cl.enqueue_copy() . So I really would like to use the latter function, to transfer a 3D RGBA image from host to device, but I seem to not being able getting the syntax of the image constructor right. So in this environment import pyopencl as cl import

问题 Following these instructions, I have downloaded and installed Intel's OpenCL™ SDK (Intel® System Studio) from here. The cl.h file is in the folder C:\Program Files (x86)\IntelSWTools\system_studio_2020\OpenCL\sdk\include\CL however when running pip install pyopencl I get the long error message of Building wheel for pyopencl (PEP 517) ... error ERROR: Command errored out with exit status 1: command: 'c:\python38\python.exe' 'c:\python38\lib\site-packages\pip\_vendor\pep517\_in_process.py'

问题 I read all the solutions provided in this website in order to solve this problem, but it still exits. When I run this command in cmd in windows 10 C:\pyopencl-2016.2.1>setup.py install , this error will be shown: c:\pyopencl-2016.2.1\src\c_wrapper\clinfo_ext.h(10) : fatal error C1083: Cannot open include file: 'CL/cl.h': No such file or directory error: command 'C:\\Users\\Neda\\AppData\\Local\\Programs\\Common\\Microsoft\\Visual C++ for Python\\9.0\\VC\\Bin\\amd64\\cl.exe' failed with exit

问题 I have a MacBook Pro with AMD processor and I want to run Keras (Tensorflow backend) in this GPU. I came to know Keras only works with NVIDIA GPUs. What is the workaround (if possible)? 回答1: You can OpenCL library to overcome this. I have tested it and it is working fine for me. Note: I have python version 3.7 and I will be using pip3 for package installation. Steps: Install OpenCL package with the following command pip3 install pyopencl Install PlaidML library using following command pip3

问题 I have a MacBook Pro with AMD processor and I want to run Keras (Tensorflow backend) in this GPU. I came to know Keras only works with NVIDIA GPUs. What is the workaround (if possible)? 回答1: You can OpenCL library to overcome this. I have tested it and it is working fine for me. Note: I have python version 3.7 and I will be using pip3 for package installation. Steps: Install OpenCL package with the following command pip3 install pyopencl Install PlaidML library using following command pip3

问题 I am running a kernel using PyOpenCL in a FPGA and in a GPU. In order to measure the time it takes to execute I use: t1 = time() event = mykernel(queue, (c_width, c_height), (block_size, block_size), d_c_buf, d_a_buf, d_b_buf, a_width, b_width) event.wait() t2 = time() compute_time = t2-t1 compute_time_e = (event.profile.end-event.profile.start)*1e-9 This provides me the execution time from the point of view of the host (compute_time) and from the device (compute_time_e). The problem is that

问题 update: the int4 in my kernel was wrong. I am using pyopencl but am unable to get struct alignment to work correctly. In the code below, which calls the kernel twice, the b value is returned correctly (as 1), but the c value has some "random" value. In other words: I am trying to read two members of a struct. I can read the first but not the second. Why? The same issue occurs whether I use numpy structured arrays or pack with struct. And the _-attribute__ settings in the comments don't help