def __init__(self,
detector,
seed=None,
cuda_device=None,
particle_tracking=False,
photon_tracking=False,
geant4_processes=4,
nthreads_per_block=64,
max_blocks=1024):
self.detector = detector
self.nthreads_per_block = nthreads_per_block
self.max_blocks = max_blocks
self.photon_tracking = photon_tracking
if seed is None:
self.seed = pick_seed()
else:
self.seed = seed
# We have three generators to seed: numpy.random, GEANT4, and CURAND.
# The latter two are done below.
np.random.seed(self.seed)
if geant4_processes > 0:
self.photon_generator = generator.photon.G4ParallelGenerator(
geant4_processes,
detector.detector_material,
base_seed=self.seed,
tracking=particle_tracking)
else:
self.photon_generator = None
self.context = gpu.create_cuda_context(cuda_device)
if hasattr(detector, 'num_channels'):
self.gpu_geometry = gpu.GPUDetector(detector)
self.gpu_daq = gpu.GPUDaq(self.gpu_geometry)
self.gpu_pdf = gpu.GPUPDF()
self.gpu_pdf_kernel = gpu.GPUKernelPDF()
else:
self.gpu_geometry = gpu.GPUGeometry(detector)
self.rng_states = gpu.get_rng_states(self.nthreads_per_block *
self.max_blocks,
seed=self.seed)
self.pdf_config = None
def testGPUPDF(self):
'''Create a hit count and (q,t) PDF for 10 MeV events in MicroLBNE'''
g4generator = G4ParallelGenerator(1, water)
context = gpu.create_cuda_context()
gpu_geometry = gpu.GPUDetector(self.detector)
nthreads_per_block, max_blocks = 64, 1024
rng_states = gpu.get_rng_states(nthreads_per_block * max_blocks)
gpu_daq = gpu.GPUDaq(gpu_geometry)
gpu_pdf = gpu.GPUPDF()
gpu_pdf.setup_pdf(self.detector.num_channels(), 100, (-0.5, 999.5), 10,
(-0.5, 9.5))
gpu_pdf.clear_pdf()
for ev in g4generator.generate_events(
itertools.islice(self.vertex_gen, 10)):
gpu_photons = gpu.GPUPhotons(ev.photons_beg)
gpu_photons.propagate(gpu_geometry, rng_states, nthreads_per_block,
max_blocks)
gpu_daq.begin_acquire()
gpu_daq.acquire(gpu_photons, rng_states, nthreads_per_block,
max_blocks)
gpu_channels = gpu_daq.end_acquire()
gpu_pdf.add_hits_to_pdf(gpu_channels)
hitcount, pdf = gpu_pdf.get_pdfs()
self.assertTrue((hitcount > 0).any())
self.assertTrue((pdf > 0).any())
# Consistency checks
for i, nhits in enumerate(hitcount):
self.assertEqual(nhits, pdf[i].sum())
context.pop()
if __name__ == '__main__':
from chroma import demo
import gc
tools.enable_debug_on_crash()
# Default to run all tests
tests = ['ray', 'load', 'propagate', 'pdf', 'pdf_eval']
if len(sys.argv) > 1:
tests = sys.argv[1:] # unless test names given on command line
detector = create_geometry_from_obj(demo.detector())
context = gpu.create_cuda_context()
gpu_detector = gpu.GPUDetector(detector)
if 'ray' in tests:
print('%s ray intersections/sec.' % \
tools.ufloat_to_str(intersect(gpu_detector)))
# run garbage collection since there is a reference loop
# in the GPUArray class.
gc.collect()
if 'load' in tests:
print('%s photons loaded/sec.' % tools.ufloat_to_str(load_photons()))
gc.collect()
if 'propagate' in tests:
print('%s photons propagated/sec.' % \
tools.ufloat_to_str(propagate(gpu_detector)))