113 lines
3.5 KiB
Python
113 lines
3.5 KiB
Python
#!/usr/bin/env python2.7
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from struct import pack, unpack
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import time
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import hashlib
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import random
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import os
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from bmconfigparser import BMConfigParser
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import paths
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from state import shutdown
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from debug import logger
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libAvailable = True
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ctx = False
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queue = False
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program = False
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gpus = []
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enabledGpus = []
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vendors = []
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hash_dt = None
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try:
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import pyopencl as cl
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import numpy
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except ImportError:
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libAvailable = False
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def initCL():
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global ctx, queue, program, hash_dt, libAvailable
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if libAvailable is False:
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return
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del enabledGpus[:]
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del vendors[:]
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del gpus[:]
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ctx = False
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try:
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hash_dt = numpy.dtype([('target', numpy.uint64), ('v', numpy.str_, 73)])
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try:
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for platform in cl.get_platforms():
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gpus.extend(platform.get_devices(device_type=cl.device_type.GPU))
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if BMConfigParser().safeGet("bitmessagesettings", "opencl") == platform.vendor:
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enabledGpus.extend(platform.get_devices(device_type=cl.device_type.GPU))
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if platform.vendor not in vendors:
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vendors.append(platform.vendor)
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except:
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pass
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if (len(enabledGpus) > 0):
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ctx = cl.Context(devices=enabledGpus)
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queue = cl.CommandQueue(ctx)
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f = open(os.path.join(paths.codePath(), "bitmsghash", 'bitmsghash.cl'), 'r')
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fstr = ''.join(f.readlines())
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program = cl.Program(ctx, fstr).build(options="")
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logger.info("Loaded OpenCL kernel")
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else:
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logger.info("No OpenCL GPUs found")
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del enabledGpus[:]
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except Exception as e:
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logger.error("OpenCL fail: ", exc_info=True)
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del enabledGpus[:]
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def openclAvailable():
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return (len(gpus) > 0)
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def openclEnabled():
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return (len(enabledGpus) > 0)
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def do_opencl_pow(hash, target):
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output = numpy.zeros(1, dtype=[('v', numpy.uint64, 1)])
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if (len(enabledGpus) == 0):
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return output[0][0]
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data = numpy.zeros(1, dtype=hash_dt, order='C')
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data[0]['v'] = ("0000000000000000" + hash).decode("hex")
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data[0]['target'] = target
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hash_buf = cl.Buffer(ctx, cl.mem_flags.READ_ONLY | cl.mem_flags.COPY_HOST_PTR, hostbuf=data)
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dest_buf = cl.Buffer(ctx, cl.mem_flags.WRITE_ONLY, output.nbytes)
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kernel = program.kernel_sha512
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worksize = kernel.get_work_group_info(cl.kernel_work_group_info.WORK_GROUP_SIZE, enabledGpus[0])
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kernel.set_arg(0, hash_buf)
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kernel.set_arg(1, dest_buf)
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start = time.time()
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progress = 0
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globamt = worksize*2000
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while output[0][0] == 0 and shutdown == 0:
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kernel.set_arg(2, pack("<Q", progress))
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cl.enqueue_nd_range_kernel(queue, kernel, (globamt,), (worksize,))
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cl.enqueue_read_buffer(queue, dest_buf, output)
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queue.finish()
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progress += globamt
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sofar = time.time() - start
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# logger.debug("Working for %.3fs, %.2f Mh/s", sofar, (progress / sofar) / 1000000)
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if shutdown != 0:
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raise Exception ("Interrupted")
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taken = time.time() - start
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# logger.debug("Took %d tries.", progress)
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return output[0][0]
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#initCL()
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if __name__ == "__main__":
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target = 54227212183L
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initialHash = "3758f55b5a8d902fd3597e4ce6a2d3f23daff735f65d9698c270987f4e67ad590b93f3ffeba0ef2fd08a8dc2f87b68ae5a0dc819ab57f22ad2c4c9c8618a43b3".decode("hex")
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nonce = do_opencl_pow(initialHash.encode("hex"), target)
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trialValue, = unpack('>Q',hashlib.sha512(hashlib.sha512(pack('>Q',nonce) + initialHash).digest()).digest()[0:8])
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print "{} - value {} < {}".format(nonce, trialValue, target)
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