cis-kuldeep/PyBitmessage-2021-04-27
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Don't load heavy modules until needed

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This commit is contained in:
Biryuzovye Kleshni 2018-06-28 14:19:50 +00:00
parent 90ae95d9cb
commit c28a4f6174
7 changed files with 80 additions and 63 deletions
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2
setup.py
View File

@ -12,7 +12,7 @@ from src.version import softwareVersion
EXTRAS_REQUIRE = {
'gir': ['pygobject'],
'notify2': ['notify2'],
'pyopencl': ['numpy', 'pyopencl'],
'pyopencl': ['pyopencl', 'numpy'],
'prctl': ['python_prctl'], # Named threads
'qrcode': ['qrcode'],
'sound;platform_system=="Windows"': ['winsound'],

27
src/workprover/__init__.py
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@ -28,7 +28,7 @@ class Task(object):
self.target = target
class WorkProver(threading.Thread):
def __init__(self, codePath, GPUVendors, seed, statusUpdated):
def __init__(self, codePath, GPUVendor, seed, statusUpdated):
super(self.__class__, self).__init__()
self.availableSolvers = {
@ -51,7 +51,7 @@ class WorkProver(threading.Thread):
pass
try:
self.availableSolvers["gpu"] = gpusolver.GPUSolver(codePath, GPUVendors)
self.availableSolvers["gpu"] = gpusolver.GPUSolver(codePath, GPUVendor)
except gpusolver.GPUSolverError:
pass
@ -81,32 +81,31 @@ class WorkProver(threading.Thread):
if self.statusUpdated is None:
return
if self.solver is None:
parallelism = 0
else:
parallelism = self.solver.parallelism
status = None
self.statusUpdated((self.solverName, parallelism, self.speed))
if self.solver is not None:
status = self.solver.status
def setSolver(self, name, parallelism):
self.statusUpdated((self.solverName, status, self.speed))
def setSolver(self, name, configuration):
if name is None and self.solverName is None:
pass
elif name == self.solverName:
if self.solver.parallelism != parallelism:
self.solver.setParallelism(parallelism)
self.solver.setConfiguration(configuration)
else:
if self.solver is not None:
self.solver.setParallelism(0)
self.solver.setConfiguration(None)
self.solverName = None
self.solver = None
if name is not None:
if name not in self.availableSolvers:
name, parallelism = "dumb", 1
name, configuration = "dumb", None
self.solverName = name
self.solver = self.availableSolvers[name]
self.solver.setParallelism(parallelism)
self.solver.setConfiguration(configuration)
self.notifyStatus()
@ -175,7 +174,7 @@ class WorkProver(threading.Thread):
self.currentTaskID = self.tasks[self.currentTaskID].next
def shutdown(self):
self.setSolver(None, 0)
self.setSolver(None, None)
for i in self.tasks.keys():
self.cancelTask(i)

4
src/workprover/dumbsolver.py
View File

@ -24,7 +24,7 @@ class DumbSolver(object):
self.firstHash = ctypes.create_string_buffer(64)
self.secondHash = ctypes.create_string_buffer(64)
self.parallelism = 1
self.status = None
def search(self, initialHash, target, seed, timeout):
startTime = utils.getTimePoint()
@ -66,5 +66,5 @@ class DumbSolver(object):
if utils.getTimePoint() - startTime >= timeout:
return None, 256 * i
def setParallelism(self, parallelism):
def setConfiguration(self, configuration):
pass

10
src/workprover/fastsolver.py
View File

@ -58,6 +58,7 @@ class FastSolver(object):
self.iterationsCount = ctypes.c_ulonglong()
self.parallelism = 0
self.status = 0
def search(self, initialHash, target, seed, timeout):
found = self.libfastsolver.fastsolver_search(
@ -70,11 +71,16 @@ class FastSolver(object):
else:
return None, self.iterationsCount.value
def setParallelism(self, parallelism):
parallelism = min(4096, parallelism)
def setConfiguration(self, configuration):
if configuration is None:
parallelism = 0
else:
parallelism = min(4096, configuration)
for i in xrange(self.parallelism, parallelism):
self.parallelism = self.libfastsolver.fastsolver_add()
if parallelism < self.parallelism:
self.parallelism = self.libfastsolver.fastsolver_remove(self.parallelism - parallelism)
self.status = parallelism

27
src/workprover/forkingsolver.py
View File

@ -5,6 +5,11 @@ import struct
import dumbsolver
def setIdle():
if hasattr(os, "nice"):
os.nice(40)
return
try:
import psutil
@ -23,14 +28,9 @@ def setIdle():
handle = win32api.OpenProcess(win32con.PROCESS_ALL_ACCESS, True, PID)
win32process.SetPriorityClass(handle, win32process.IDLE_PRIORITY_CLASS)
return
except:
pass
if hasattr(os, "nice"):
os.nice(40)
def threadFunction(local, remote, codePath, threadNumber):
remote.close()
setIdle()
@ -60,7 +60,7 @@ class ForkingSolver(object):
self.pipes = []
self.processes = []
self.parallelism = 0
self.status = 0
self.codePath = codePath
@ -80,10 +80,13 @@ class ForkingSolver(object):
return bestNonce, totalIterationsCount
def setParallelism(self, parallelism):
parallelism = min(4096, parallelism)
def setConfiguration(self, configuration):
if configuration is None:
parallelism = 0
else:
parallelism = min(4096, configuration)
for i in xrange(self.parallelism, parallelism):
for i in xrange(len(self.processes), parallelism):
local, remote = multiprocessing.Pipe()
process = multiprocessing.Process(target = threadFunction, args = (remote, local, self.codePath, i))
@ -94,13 +97,13 @@ class ForkingSolver(object):
self.pipes.append(local)
self.processes.append(process)
for i in xrange(parallelism, self.parallelism):
for i in xrange(parallelism, len(self.processes)):
pipe = self.pipes.pop()
pipe.send(("shutdown", ))
pipe.close()
for i in xrange(parallelism, self.parallelism):
for i in xrange(parallelism, len(self.processes)):
self.processes.pop().join()
self.parallelism = parallelism
self.status = parallelism

65
src/workprover/gpusolver.py
View File

@ -11,53 +11,31 @@ class GPUSolverError(Exception):
pass
class GPUSolver(object):
def __init__(self, codePath, vendors = None):
global pyopencl, numpy
def __init__(self, codePath, vendor = None):
global pyopencl
try:
import numpy
import pyopencl
except ImportError:
raise GPUSolverError()
device = None
for i in pyopencl.get_platforms():
if vendors is not None and i.vendor not in vendors:
if vendor is not None and i.vendor != vendor:
continue
devices = i.get_devices(device_type = pyopencl.device_type.GPU)
if len(devices) != 0:
device = devices[0]
self.device = devices[0]
break
else:
raise GPUSolverError()
context = pyopencl.Context(devices = [device])
computeUnitsCount = device.get_info(pyopencl.device_info.MAX_COMPUTE_UNITS)
workGroupSize = device.get_info(pyopencl.device_info.MAX_WORK_GROUP_SIZE)
self.parallelism = workGroupSize * computeUnitsCount
self.batchSize = self.parallelism * 256
self.queue = pyopencl.CommandQueue(context, device)
with open(os.path.join(codePath, "gpusolver.cl")) as file:
source = file.read()
self.source = file.read()
program = pyopencl.Program(context, source).build()
self.hostOutput = numpy.zeros(1 + self.batchSize, numpy.uint32)
self.hostInput = numpy.zeros(1 + 8 + 1, numpy.uint64)
self.output = pyopencl.Buffer(context, pyopencl.mem_flags.READ_WRITE, 4 * (1 + self.batchSize))
self.input = pyopencl.Buffer(context, pyopencl.mem_flags.READ_ONLY, 8 * (1 + 8 + 1))
self.kernel = program.search
self.kernel.set_args(self.output, self.input)
self.status = None
def search(self, initialHash, target, seed, timeout):
startTime = utils.getTimePoint()
@ -102,5 +80,32 @@ class GPUSolver(object):
if utils.getTimePoint() - startTime >= timeout:
return None, self.batchSize * i
def setParallelism(self, parallelism):
pass
def setConfiguration(self, configuration):
global numpy
if numpy is not None:
return
import numpy
context = pyopencl.Context(devices = [self.device])
computeUnitsCount = self.device.get_info(pyopencl.device_info.MAX_COMPUTE_UNITS)
workGroupSize = self.device.get_info(pyopencl.device_info.MAX_WORK_GROUP_SIZE)
self.batchSize = workGroupSize * computeUnitsCount * 256
self.queue = pyopencl.CommandQueue(context, self.device)
program = pyopencl.Program(context, self.source).build()
self.hostOutput = numpy.zeros(1 + self.batchSize, numpy.uint32)
self.hostInput = numpy.zeros(1 + 8 + 1, numpy.uint64)
self.output = pyopencl.Buffer(context, pyopencl.mem_flags.READ_WRITE, 4 * (1 + self.batchSize))
self.input = pyopencl.Buffer(context, pyopencl.mem_flags.READ_ONLY, 8 * (1 + 8 + 1))
self.kernel = program.search
self.kernel.set_args(self.output, self.input)
self.status = self.batchSize

8
src/workprover/test.py
View File

@ -85,7 +85,7 @@ class TestSolver(unittest.TestCase):
except gpusolver.GPUSolverError:
self.skipTest("OpenCL unavailable")
self.solver.setParallelism(1)
self.solver.setConfiguration(self.configuration)
def testSearch(self):
nonce = None
@ -101,19 +101,23 @@ class TestSolver(unittest.TestCase):
self.assertTrue(utils.checkProof(nonce, initialHash, target))
def tearDown(self):
self.solver.setParallelism(0)
self.solver.setConfiguration(None)
class TestDumbSolver(TestSolver):
Solver = dumbsolver.DumbSolver
configuration = None
class TestForkingSolver(TestSolver):
Solver = forkingsolver.ForkingSolver
configuration = 1
class TestFastSolver(TestSolver):
Solver = fastsolver.FastSolver
configuration = 1
class TestGPUSolver(TestSolver):
Solver = gpusolver.GPUSolver
configuration = None
class TestWorkProver(unittest.TestCase):
def setUp(self):