PyOpenCL November 2018

pyopencl@tiker.net

7 participants
6 discussions

by Santiago Torres-Arias

Hello everyone, I'm currently thinking of adopting the Python-opencl package on the Arch Linux community repositories. I noticed that there are no tarball signatures or signed tags for the sources. Is this intentional? I'd be more than convenient security-wise to have a (or a set) key that I could trust when building the package :) Thanks! -Santiago

2 years, 2 months

Re: [PyOpenCL] Fwd: Import Error while executing spyder3-Beta version- It can't find opencl 2.1

by Jerome Kieffer

On Wed, 14 Nov 2018 16:30:15 -0200 V Amo BTS <gisele.lima.camargo(a)gmail.com> wrote: > Hello to all, > > I got an import error after installing nvidia toolkit and cuda, using > spyder: > > > *ImportError: /usr/local/cuda-10.0/targets/x86_64-linux/lib/libOpenCL.so.1: > version `OPENCL_2.1' not found (required by > /usr/lib/python3/dist-packages/pyopencl/_cffi.abi3.so > <http://cffi.abi3.so>)* > > Spyder 4.0.0b1 > > *Python 3.6.6 64bits, Qt 5.9.3, PyQt5 5.9.2 on Linux * > > > Since I have no experience installing these programs. Can anyone help me, > please? Hi all, I guess this is related to the version 1.2 of the libopencl from CUDA. Probably your system provides a libOpenCL version 2.1 and pyopencl has been installed to use it. Recently, you installed cuda which changes the order library are chosen (probably using the LD_LIBRARY_PATH) and the one from cuda gets selected, but it is less advanced then the one from your system. There is a simple "solution": try to move away the one from cuda and check if it fixes the issue, like: ``` sudo mv /usr/local/cuda-10.0/targets/x86_64-linux/lib/libOpenCL.so.1 /usr/local/cuda-10.0/targets/x86_64-linux/lib/libOpenCL.so_from_cuda_do_not_use ``` and check if it works. Cheers, -- Jérôme Kieffer

2 years, 3 months

Re: [PyOpenCL] Fwd: Import Error while executing spyder3-Beta version- It can't find opencl 2.1

by Vincent Favre-Nicolin

Dear Gisele, > Le 14 nov. 2018 à 19:30, V Amo BTS <gisele.lima.camargo(a)gmail.com> a écrit : > I got an import error after installing nvidia toolkit and cuda, using spyder: > > ImportError: /usr/local/cuda-10.0/targets/x86_64-linux/lib/libOpenCL.so.1: version `OPENCL_2.1' not found (required by /usr/lib/python3/dist-packages/pyopencl/_cffi.abi3.so <http://cffi.abi3.so/>) > > Spyder 4.0.0b1 > Python 3.6.6 64bits, Qt 5.9.3, PyQt5 5.9.2 on Linux > > Since I have no experience installing these programs. Can anyone help me, please? This probably means that you have OpenCL headers advertising version 2.1, but a CUDA driver which only supports 1.2. What Linux version are you using ? What is the source for the CUDA 10 installation ? What are the OpenCL packages installed ? See a bug report (now closed) from a few months ago: https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=889287 <https://bugs.debian.org/cgi-bin/bugreport.cgi?bug=889287> Best wishes, — Vincent Favre-Nicolin

2 years, 3 months

Fwd: Import Error while executing spyder3-Beta version- It can't find opencl 2.1

by V Amo BTS

Hello to all, I got an import error after installing nvidia toolkit and cuda, using spyder: *ImportError: /usr/local/cuda-10.0/targets/x86_64-linux/lib/libOpenCL.so.1: version `OPENCL_2.1' not found (required by /usr/lib/python3/dist-packages/pyopencl/_cffi.abi3.so <http://cffi.abi3.so>)* Spyder 4.0.0b1 *Python 3.6.6 64bits, Qt 5.9.3, PyQt5 5.9.2 on Linux * Since I have no experience installing these programs. Can anyone help me, please? Thank you, Gisele Camargo

2 years, 3 months

error: loading directly from pointer to type 'const __global half' is not allowed

by kejingying

First, the cl_khr_fp16 extension is supported and has been enabled on the device Intel GPU. When I run the code as follows on the device 'Intel(R) HD Graphics', which uses 16-bit half-precision float instead of 32-bit float, it gets the error : loading directly from pointer to type 'const __global half' is not allowed. But the device 'Intel(R) HD Graphics' supports half data types for OpenCL. ''' Build on <pyopencl.Device 'Intel(R) HD Graphics' on 'Intel(R) OpenCL' at 0x1cd1a10>: 1:6:16: error: loading directly from pointer to type 'const __global half' is not allowed res_g[gid] = a_g[gid] + b_g[gid]; ^ (options: -I /usr/lib/python3/dist-packages/pyopencl/cl) ''' How can I fixed the code? ''' from future import absolute_import, print_function import numpy as np import pyopencl as cl a_np = np.random.rand(50000).astype(np.float16) b_np = np.random.rand(50000).astype(np.float16) ctx = cl.create_some_context() queue = cl.CommandQueue(ctx) # Create a command queue with your context mf = cl.mem_flags a_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=a_np) b_g = cl.Buffer(ctx, mf.READ_ONLY | mf.COPY_HOST_PTR, hostbuf=b_np) prg = cl.Program(ctx, """ __kernel void sum( __global const half *a_g, __global const half *b_g, __global half *res_g) { int gid = get_global_id(0); res_g[gid] = a_g[gid] + b_g[gid]; } """).build() res_g = cl.Buffer(ctx, mf.WRITE_ONLY, a_np.nbytes) prg.sum(queue, a_np.shape, None, a_g, b_g, res_g) res_np = np.empty_like(a_np) cl.enqueue_copy(queue, res_np, res_g) print(res_np) print(res_np - (a_np + b_np)) print(np.linalg.norm(res_np - (a_np + b_np))) ''' Finally, how can it correct my code?

2 years, 4 months

enqueue_copy and default arguments for buffer_pitches/host_pitches

by Gregor Thalhammer

Hi Andreas, I think I found a small quirk when doing data copies involving rectangular subareas. Documentation of enqueue_copy states that the arguments buffer_pitches/host_pitches and src_/dst_pitches are optional, however an error is raised if they are omitted: TypeError: _enqueue_read_buffer_rect(): incompatible function arguments. It seems pybind11 checks if the arguments are a sequence, but this fails with None as default value, as defined here: https://github.com/inducer/pyopencl/blob/1e850da761797c70aa0b2580845585c240… I checked that replacing the default arguments by an empty tuple, replacing py::none() by py::tuple() resolves this issue. Also just filed an issue, https://github.com/inducer/pyopencl/issues/253 best Gregor

2 years, 4 months

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PyOpenCL November 2018