# -*- 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 == platform.name.lower():
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 == device.name.lower():
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