def _load_override_file():
global _override_block_size_db, _override_block_size_compute_cap;
fname = os.path.expanduser("~") + '/.hoomd_block_tuning';
# only load if the file exists
if not os.path.isfile(fname):
return
# save the file
f = open(fname, 'rb');
globals.msg.notice(2, 'Reading optimal block sizes from ' + str(fname) + '\n');
# read the version of the file
ver = pickle.load(f);
# handle the different file versions
if ver == 0:
# read and verify the version this was tuned on
hoomd_version = pickle.load(f);
if hoomd_version != hoomd.get_hoomd_version():
globals.msg.warning("~/.hoomd_block_tuning was created with" + str(hoomd_version) + \
", but this is " + str(hoomd.get_hoomd_version()) + ". Reverting to default performance tuning.\n");
return;
# read the compute capability of the GPU this was tuned on
_override_block_size_compute_cap = pickle.load(f);
# read the dictionary
_override_block_size_db = pickle.load(f);
else:
globals.msg.error("Unknown ~/.hoomd_block_tuning format " + str(ver) + ".\n");
raise RuntimeError("Error loading .hoomd_block_tuning");
f.close();
def _save_override_file(common_optimal_db):
fname = os.path.expanduser("~") + '/.hoomd_block_tuning'
# see if the user really wants to overwrite the file
if os.path.isfile(fname):
globals.msg.warning(
fname +
" exists. This file is being overwritten with new settings\n")
# save the file
f = open(fname, 'wb')
globals.msg.notice(2,
'Writing optimal block sizes to ' + str(fname) + '\n')
# write the version of the file
pickle.dump(0, f)
# write out the version this was tuned on
pickle.dump(hoomd.get_hoomd_version(), f)
# write out the compute capability of the GPU this was tuned on
pickle.dump(
globals.system_definition.getParticleData().getExecConf().
getComputeCapability(), f)
# write out the dictionary
pickle.dump(common_optimal_db, f)
f.close()
def _load_override_file():
global _override_block_size_db, _override_block_size_compute_cap
fname = os.path.expanduser("~") + '/.hoomd_block_tuning'
# only load if the file exists
if not os.path.isfile(fname):
return
# save the file
f = open(fname, 'rb')
globals.msg.notice(2,
'Reading optimal block sizes from ' + str(fname) + '\n')
# read the version of the file
ver = pickle.load(f)
# handle the different file versions
if ver == 0:
# read and verify the version this was tuned on
hoomd_version = pickle.load(f)
if hoomd_version != hoomd.get_hoomd_version():
globals.msg.warning("~/.hoomd_block_tuning was created with" + str(hoomd_version) + \
", but this is " + str(hoomd.get_hoomd_version()) + ". Reverting to default performance tuning.\n")
return
# read the compute capability of the GPU this was tuned on
_override_block_size_compute_cap = pickle.load(f)
# read the dictionary
_override_block_size_db = pickle.load(f)
else:
globals.msg.error("Unknown ~/.hoomd_block_tuning format " + str(ver) +
".\n")
raise RuntimeError("Error loading .hoomd_block_tuning")
f.close()
def _save_override_file(common_optimal_db):
fname = os.path.expanduser("~") + '/.hoomd_block_tuning';
# see if the user really wants to overwrite the file
if os.path.isfile(fname):
globals.msg.warning(fname + " exists. This file is being overwritten with new settings\n");
# save the file
f = open(fname, 'wb');
globals.msg.notice(2, 'Writing optimal block sizes to ' + str(fname) + '\n');
# write the version of the file
pickle.dump(0, f);
# write out the version this was tuned on
pickle.dump(hoomd.get_hoomd_version(), f);
# write out the compute capability of the GPU this was tuned on
pickle.dump(globals.system_definition.getParticleData().getExecConf().getComputeCapability(), f);
# write out the dictionary
pickle.dump(common_optimal_db, f);
f.close();
