It takes nearly three hours for the simulator to get pass the initialization point when I try to run a PARSEC benchmark in full system mode, only to be met with the following output:
Traceback (most recent call last):
File "<string>", line 1, in <module>
File "build/X86/python/m5/main.py", line 457, in main
exec(filecode, scope)
File "configs/example/fs.py", line 396, in <module>
Simulation.run(options, root, test_sys, FutureClass)
File "configs/common/Simulation.py", line 726, in run
exit_event = benchCheckpoints(options, maxtick, cptdir)
File "configs/common/Simulation.py", line 269, in benchCheckpoints
exit_event = m5.simulate(maxtick - m5.curTick())
File "build/X86/python/m5/simulate.py", line 180, in simulate
return _m5.event.simulate(*args, **kwargs)
RuntimeError: bad_function_call
I don't even know where to begin solving this problem. Does anyone know what might be causing this issue and how to solve it? Thanks.
Related
I am currently in the process of using SAGA to generate a scenario for my OSM file. However, I keep getting the error below.
File "scenarioFromOSM.py", line 398, in <module>
main(sys.argv[1:])
File "scenarioFromOSM.py", line 317, in main
'{}/contributed/saga/defaults/activitygen.json'.format(os.environ['SUMO_TOOLS']),
File "/Library/Frameworks/Python.framework/Versions/3.8/lib/python3.8/os.py", line 675, in __getitem__
raise KeyError(key) from None
KeyError: 'SUMO_TOOLS'
Could anyone help me resolve this? Thanks!
Needed to declare it.
export SUMO_TOOLS="$SUMO_HOME"/tools
I have developed a SessionRunHook which I attach to TPUEstimator. SessionRunHook works perfectly fine on CPU, however if I use TPU I get an error:
INFO:tensorflow:Error recorded from outfeed: Attempted to use a closed Session.
INFO:tensorflow:Error recorded from evaluation_loop: Operation 'mean_1' has been marked as not fetchable.
INFO:tensorflow:evaluation_loop marked as finished
WARNING:tensorflow:Reraising captured error
Traceback (most recent call last):
File "/usr/lib/python3.5/runpy.py", line 193, in _run_module_as_main
"__main__", mod_spec)
File "/usr/lib/python3.5/runpy.py", line 85, in _run_code
exec(code, run_globals)
File "/home/donatas_repecka/workspace/bert/run_pretraining.py", line 549, in <module>
tf.app.run()
INFO:tensorflow:Error recorded from infeed: Step was cancelled by an explicit call to `Session::Close()`.
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/platform/app.py", line 125, in run
_sys.exit(main(argv))
File "/home/donatas_repecka/workspace/bert/run_pretraining.py", line 505, in main
result = estimator.evaluate(input_fn=input_fn, steps=FLAGS.max_eval_steps)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 2424, in evaluate
rendezvous.raise_errors()
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/error_handling.py", line 128, in raise_errors
six.reraise(typ, value, traceback)
File "/usr/local/lib/python3.5/dist-packages/six.py", line 693, in reraise
raise value
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/error_handling.py", line 101, in catch_errors
yield
File "/usr/local/lib/python3.5/dist-packages/tensorflow/contrib/tpu/python/tpu/tpu_estimator.py", line 451, in _run_outfeed
session.run(self._dequeue_ops)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 929, in run
run_metadata_ptr)
File "/usr/local/lib/python3.5/dist-packages/tensorflow/python/client/session.py", line 1075, in _run
raise RuntimeError('Attempted to use a closed Session.')
RuntimeError: Attempted to use a closed Session.
Has anyone else experienced this problem and found the way around it?
team,
currently I am working on a nonlinear stochastic optimization problem. So far, the toolbox has been really helpful, thank you! However, adding a nonlinear constraint has caused an error. I use the gurobi solver. The problem results from the following constraint.
def max_pcr_power_rule(model, t):
if t == 0:
return 0 <= battery.P_bat_max-model.P_sc_max[t+1]-model.P_pcr
else:
return model.P_trade_c[t+1] + np.sqrt(-2*np.log(rob_opt.max_vio)) \
*sum(model.U_max_pow[t,i]**2 for i in set_sim.tme_dat_stp)**(0.5) \
<= battery.P_bat_max-model.P_sc_max[t+1]-model.P_pcr
model.max_pcr_power = Constraint(set_sim.tme_dat_stp, rule=max_pcr_power_rule)
I receive this error message:
Initializing extensive form algorithm for stochastic programming
problems. Exception encountered. Scenario tree manager attempting to
shut down. Traceback (most recent call last): File
"C:\Users\theil\Anaconda3\Scripts\runef-script.py", line 5, in
sys.exit(pyomo.pysp.ef_writer_script.main()) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 863, in main
traceback=options.traceback) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\util\misc.py",
line 344, in launch_command
rc = command(options, *cmd_args, **cmd_kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 748, in runef
ef.solve() File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 430, in solve
**solve_kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\parallel\manager.py",
line 122, in queue
return self._perform_queue(ah, *args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\parallel\local.py",
line 59, in _perform_queue
results = opt.solve(*args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
line 599, in solve
self._presolve(*args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\solvers\plugins\solvers\GUROBI.py",
line 224, in _presolve
ILMLicensedSystemCallSolver._presolve(self, *args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\solver\shellcmd.py",
line 196, in _presolve
OptSolver._presolve(self, *args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
line 696, in _presolve
**kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
line 767, in _convert_problem
**kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\base\convert.py",
line 110, in convert_problem
problem_files, symbol_map = converter.apply(*tmp, **tmpkw) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\solvers\plugins\converter\model.py",
line 96, in apply
io_options=io_options) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\core\base\block.py",
line 1681, in write
io_options) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\repn\plugins\cpxlp.py",
line 176, in call
include_all_variable_bounds=include_all_variable_bounds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\repn\plugins\cpxlp.py",
line 719, in _print_model_LP
"with nonlinear terms." % (constraint_data.name)) ValueError: Cannot write legal LP file. Constraint '1.max_pcr_power[1]' has a
body with nonlinear terms.
I thought, that the problem may lay within the nested formulation of the constraint, i.e. the combination of sum and exponential terms. Therefore, I put the sum()-term into a separate variable. This didn't change the core the characteristic of the nonlinear constraint, so that the error stayed the same. My other suspicion was, that the problem lays within the gurobi solver. So i tried to utilize ipopt, which produced the follwing error message:
Error evaluating constraint 1: can't evaluate pow'(0,0.5). ERROR:
Solver (ipopt) returned non-zero return code (1) ERROR: See the solver
log above for diagnostic information. Exception encountered. Scenario
tree manager attempting to shut down. Traceback (most recent call
last): File "C:\Users\theil\Anaconda3\Scripts\runef-script.py", line
5, in
sys.exit(pyomo.pysp.ef_writer_script.main()) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 863, in main
traceback=options.traceback) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\util\misc.py",
line 344, in launch_command
rc = command(options, *cmd_args, **cmd_kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 748, in runef
ef.solve() File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\pysp\ef_writer_script.py",
line 434, in solve
**solve_kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\parallel\manager.py",
line 122, in queue
return self._perform_queue(ah, *args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\parallel\local.py",
line 59, in _perform_queue
results = opt.solve(*args, **kwds) File "C:\Users\theil\Anaconda3\lib\site-packages\pyomo\opt\base\solvers.py",
line 626, in solve
"Solver (%s) did not exit normally" % self.name) pyutilib.common._exceptions.ApplicationError: Solver (ipopt) did not
exit normally
I am wondering now, if my mistake lays within the formulation of the constraint or the way i utilize the solver. Otherwise I have to simplify my problem to make it solvable.
I would be glad, if you can point me in the right direction. Thank you!
Best regards
Philipp
As Erwin mentioned in the comment, Gurobi is generally not intended for nonlinear problems.
I want to view statistics of my model by saving my graph to a file then running graph_metrics.py.
I have tried a few different things to write the file, my best effort is:
tf.train.write_graph( session.graph_def, ".", "my_graph", as_text=True )
But here's what happens:
$ python ./util/graph_metrics.py --noinput_binary --graph my_graph
Traceback (most recent call last):
File "./util/graph_metrics.py", line 137, in <module>
tf.app.run()
File ".virtualenv/local/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 30, in run
sys.exit(main(sys.argv))
File "./util/graph_metrics.py", line 85, in main
FLAGS.batch_size)
File "./util/graph_metrics.py", line 109, in calculate_graph_metrics
input_tensor = sess.graph.get_tensor_by_name(input_layer)
File ".virtualenv/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2531, in get_tensor_by_name
return self.as_graph_element(name, allow_tensor=True, allow_operation=False)
File ".virtualenv/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2385, in as_graph_element
return self._as_graph_element_locked(obj, allow_tensor, allow_operation)
File ".virtualenv/local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 2427, in _as_graph_element_locked
"graph." % (repr(name), repr(op_name)))
KeyError: "The name 'Mul:0' refers to a Tensor which does not exist. The operation, 'Mul', does not exist in the graph."
Is there a complete working example of saving a graph, then analyzing it with graph_metrics.py?
This process seems to involve a magic incantation that I haven't yet discovered.
The error you're hitting is because you need to specify the name of your own input node with --input_layer= (it just defaults to Mul:0 because that's what we use in one of our Inception models):
https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/tools/graph_metrics.py#L51
The graph_metrics script is still very much a work in progress unfortunately, and you may hit problems with shape inference, but hopefully this should get you past the initial hurdle.
I was just trying out the os.dup2() function to redirect outputs, when I was typing in os.dup2(3,1), which my ipython (2.7) didn't seem to like.
It crashed and now it won't start again, yielding the error:
Traceback (most recent call last):
File "/usr/bin/ipython", line 8, in <module>
launch_new_instance()
File "/usr/lib/python2.7/dist-packages/IPython/frontend/terminal/ipapp.py", line 402, in launch_new_instance
app.initialize()
File "<string>", line 2, in initialize
File "/usr/lib/python2.7/dist-packages/IPython/config/application.py", line 84, in catch_config_error
return method(app, *args, **kwargs)
File "/usr/lib/python2.7/dist-packages/IPython/frontend/terminal/ipapp.py", line 312, in initialize
self.init_shell()
File "/usr/lib/python2.7/dist-packages/IPython/frontend/terminal/ipapp.py", line 332, in init_shell
ipython_dir=self.ipython_dir)
File "/usr/lib/python2.7/dist-packages/IPython/config/configurable.py", line 318, in instance
inst = cls(*args, **kwargs)
File "/usr/lib/python2.7/dist-packages/IPython/frontend/terminal/interactiveshell.py", line 183, in __init__
user_module=user_module, custom_exceptions=custom_exceptions
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 456, in __init__
self.init_readline()
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 1777, in init_readline
self.refill_readline_hist()
File "/usr/lib/python2.7/dist-packages/IPython/core/interactiveshell.py", line 1789, in refill_readline_hist
include_latest=True):
File "/usr/lib/python2.7/dist-packages/IPython/core/history.py", line 256, in get_tail
return reversed(list(cur))
DatabaseError: database disk image is malformed
If you suspect this is an IPython bug, please report it at:
https://github.com/ipython/ipython/issues
or send an email to the mailing list at ipython-dev#scipy.org
You can print a more detailed traceback right now with "%tb", or use "%debug"
to interactively debug it.
Extra-detailed tracebacks for bug-reporting purposes can be enabled via:
c.Application.verbose_crash=True
can anyone help me with that?
Reposting as an answer:
That looks like fd 3 is your IPython history database, and you redirected stdout to it and corrupted it.
To get it to start again, remove or rename ~/.ipython/profile_default/history.sqlite (or ~/.config/ipython/profile_default/history.sqlite on certain IPython versions on Linux).