FiniteVolumeGPU/SWESimulators/IPythonMagic.py
2018-08-13 14:01:38 +02:00

81 lines
3.2 KiB
Python

# -*- coding: utf-8 -*-
"""
This python module implements helpers for IPython / Jupyter and CUDA
Copyright (C) 2018 SINTEF ICT
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import logging
from IPython.core.magic import line_magic, Magics, magics_class
import pycuda.driver as cuda
@magics_class
class CudaContextHandler(Magics):
@line_magic
def cuda_context_handler(self, context_name):
self.logger = logging.getLogger(__name__)
self.logger.debug("Registering %s as a global context", context_name)
if context_name in self.shell.user_ns.keys():
self.logger.debug("Context already registered! Ignoring")
return
else:
self.logger.debug("Creating context")
self.shell.ex(context_name + " = Common.CudaContext(verbose=True, blocking=False)")
# this function will be called on exceptions in any cell
def custom_exc(shell, etype, evalue, tb, tb_offset=None):
self.logger.exception("Exception caught: Resetting to CUDA context %s", context_name)
while (cuda.Context.get_current() != None):
context = cuda.Context.get_current()
self.logger.info("Popping <%s>", str(context.handle))
cuda.Context.pop()
if context_name in self.shell.user_ns.keys():
self.logger.info("Pushing <%s>", str(self.shell.user_ns[context_name].cuda_context.handle))
self.shell.ex(context_name + ".cuda_context.push()")
else:
self.logger.error("No CUDA context called %s found (something is wrong)", context_name)
self.logger.error("CUDA will not work now")
# still show the error within the notebook, don't just swallow it
shell.showtraceback((etype, evalue, tb), tb_offset=tb_offset)
# this registers a custom exception handler for the whole current notebook
get_ipython().set_custom_exc((Exception,), custom_exc)
# Handle CUDA context when exiting python
import atexit
def exitfunc():
self.logger.info("Exitfunc: Resetting CUDA context stack")
while (cuda.Context.get_current() != None):
context = cuda.Context.get_current()
self.logger.info("`-> Popping <%s>", str(context.handle))
cuda.Context.pop()
atexit.register(exitfunc)
logger = logging.getLogger(__name__)
logger.info("Registering automatic CUDA context handling")
logger.debug("(use %cuda_context_handler my_context to create a context called my_context")
ip = get_ipython()
ip.register_magics(CudaContextHandler)