def __init__(self, interface):
platforms = cl.get_platforms()
# Initialize object attributes and retrieve command-line options...)
self.device = None
self.kernel = None
self.interface = interface
self.core = self.interface.addCore()
self.defines = ''
self.loopExponent = 0
# Set the initial number of nonces to run per execution
# 2^(16 + aggression)
self.AGGRESSION += 16
self.AGGRESSION = min(32, self.AGGRESSION)
self.AGGRESSION = max(16, self.AGGRESSION)
self.size = 1 << self.AGGRESSION
# We need a QueueReader to efficiently provide our dedicated thread
# with work.
self.qr = QueueReader(self.core, lambda nr: self.preprocess(nr),
lambda x,y: self.size * 1 << self.loopExponent)
# The platform selection must be valid to mine.
if self.PLATFORM >= len(platforms) or \
(self.PLATFORM is None and len(platforms) > 1):
self.interface.log(
'Wrong platform or more than one OpenCL platform found, '
'use PLATFORM=ID to select one of the following\n',
False, True)
for i,p in enumerate(platforms):
self.interface.log(' [%d]\t%s' % (i, p.name), False, False)
# Since the platform is invalid, we can't mine.
self.interface.fatal()
return
elif self.PLATFORM is None:
self.PLATFORM = 0
devices = platforms[self.PLATFORM].get_devices()
# The device selection must be valid to mine.
if self.DEVICE >= len(devices) or \
(self.DEVICE is None and len(devices) > 1):
self.interface.log(
'No device specified or device not found, '
'use DEVICE=ID to specify one of the following\n',
False, True)
for i,d in enumerate(devices):
self.interface.log(' [%d]\t%s' % (i, d.name), False, False)
# Since the device selection is invalid, we can't mine.
self.interface.fatal()
return
elif self.DEVICE is None:
self.DEVICE = 0
self.device = devices[self.DEVICE]
# We need the appropriate kernel for this device...
try:
self.loadKernel(self.device)
except Exception:
self.interface.fatal("Failed to load OpenCL kernel!")
return
# Initialize a command queue to send commands to the device, and a
# buffer to collect results in...
self.commandQueue = cl.CommandQueue(self.context)
self.output = np.zeros(self.OUTPUT_SIZE+1, np.uint32)
self.output_buf = cl.Buffer(
self.context, cl.mem_flags.WRITE_ONLY | cl.mem_flags.USE_HOST_PTR,
hostbuf=self.output)
self.applyMeta()
