Source code for pyfr.backends.opencl.base

# -*- coding: utf-8 -*-

import numpy as np

from pyfr.backends.base import BaseBackend
from pyfr.mpiutil import get_local_rank

[docs]class OpenCLBackend(BaseBackend): name = 'opencl' blocks = False def __init__(self, cfg): super().__init__(cfg) import pyopencl as cl # Get the platform/device info from the config file platid = cfg.get('backend-opencl', 'platform-id', '0').lower() devid = cfg.get('backend-opencl', 'device-id', 'local-rank').lower() devtype = cfg.get('backend-opencl', 'device-type', 'all').upper() # Handle the local-rank case if devid == 'local-rank': devid = str(get_local_rank()) # Map the device type to the corresponding PyOpenCL constant devtype = getattr(cl.device_type, devtype) # Determine the OpenCL platform to use for i, platform in enumerate(cl.get_platforms()): if platid == str(i) or platid == break else: raise ValueError('No suitable OpenCL platform found') # Determine the OpenCL device to use for i, device in enumerate(platform.get_devices(devtype)): if devid == str(i) or devid == break else: raise ValueError('No suitable OpenCL device found') # Determine if the device supports double precision arithmetic if self.fpdtype == np.float64 and not device.double_fp_config: raise ValueError('Device does not support double precision') # Create a OpenCL context on this device self.ctx = cl.Context([device]) # Create a queue for initialisation-type operations self.qdflt = cl.CommandQueue(self.ctx) # Compute the alignment requirement for the context self.alignb = device.mem_base_addr_align // 8 # Compute the SoA size self.soasz = 2*self.alignb // np.dtype(self.fpdtype).itemsize self.csubsz = self.soasz from pyfr.backends.opencl import (blasext, clblast, gimmik, packing, provider, types) # Register our data types self.base_matrix_cls = types.OpenCLMatrixBase self.const_matrix_cls = types.OpenCLConstMatrix self.matrix_cls = types.OpenCLMatrix self.matrix_bank_cls = types.OpenCLMatrixBank self.matrix_slice_cls = types.OpenCLMatrixSlice self.queue_cls = types.OpenCLQueue self.view_cls = types.OpenCLView self.xchg_matrix_cls = types.OpenCLXchgMatrix self.xchg_view_cls = types.OpenCLXchgView # Instantiate the base kernel providers kprovs = [provider.OpenCLPointwiseKernelProvider, blasext.OpenCLBlasExtKernels, packing.OpenCLPackingKernels, gimmik.OpenCLGiMMiKKernels, clblast.OpenCLCLBlastKernels] self._providers = [k(self) for k in kprovs] # Pointwise kernels self.pointwise = self._providers[0]
[docs] def _malloc_impl(self, nbytes): import pyopencl as cl # Allocate the device buffer buf = cl.Buffer(self.ctx, cl.mem_flags.READ_WRITE, nbytes) # Zero the buffer cl.enqueue_copy(self.qdflt, buf, np.zeros(nbytes, dtype=np.uint8)) return buf