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The documentation for running a composition in compiled mode, using the Composition.run method, currently lists that you can set execution_mode=True to try different LLVM computation modes in order. This appears to be broken with my setup:
python version=3.9.6
PNL version=0.9.1.1
model.run(execution_mode=True)
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
/var/folders/l9/n0qk_l6x4sn6slfbc9mfpkym0000gn/T/ipykernel_55572/1284304973.py in <module>
----> 1 model.run(execution_mode=True)
/opt/homebrew/Caskroom/miniforge/base/lib/python3.9/site-packages/psyneulink/core/globals/context.py in wrapper(context, *args, **kwargs)
739 not in str(e)
740 ):
--> 741 raise e
742
743 return func(*args, **kwargs)
/opt/homebrew/Caskroom/miniforge/base/lib/python3.9/site-packages/psyneulink/core/globals/context.py in wrapper(context, *args, **kwargs)
732
733 try:
--> 734 return func(*args, context=context, **kwargs)
735 except TypeError as e:
736 # context parameter may be passed as a positional arg
/opt/homebrew/Caskroom/miniforge/base/lib/python3.9/site-packages/psyneulink/core/compositions/composition.py in run(self, inputs, num_trials, initialize_cycle_values, reset_stateful_functions_to, reset_stateful_functions_when, skip_initialization, clamp_input, runtime_params, call_before_time_step, call_after_time_step, call_before_pass, call_after_pass, call_before_trial, call_after_trial, termination_processing, skip_analyze_graph, report_output, report_params, report_progress, report_simulations, report_to_devices, animate, log, scheduler, scheduling_mode, execution_mode, default_absolute_time_unit, context, base_context)
8443 ContextFlags.SIMULATION_MODE in context.runmode)
8444
-> 8445 if execution_mode & pnlvm.ExecutionMode._Run:
8446 # There's no mode to run simulations.
8447 # Simulations are run as part of the controller node wrapper.
TypeError: unsupported operand type(s) for &: 'bool' and 'ExecutionMode'
This is fixed when running model.run(execution_mode=pnl.ExecutionMode.LLVMRun). As a quick side-note, it is not clarified in the documentation for Composition.run which enum to use for specifying the execution_mode parameter: the documentation currently reads enum.Enum[Auto|LLVM|LLVMexec|LLVMRun|Python|PTXExec|PTXRun] rather than specifying the use of pnl.ExecutionMode.
The text was updated successfully, but these errors were encountered:
The documentation for running a composition in compiled mode, using the
Composition.run
method, currently lists that you can setexecution_mode=True
to try different LLVM computation modes in order. This appears to be broken with my setup:python version=3.9.6
PNL version=0.9.1.1
This is fixed when running
model.run(execution_mode=pnl.ExecutionMode.LLVMRun)
. As a quick side-note, it is not clarified in the documentation forComposition.run
which enum to use for specifying the execution_mode parameter: the documentation currently readsenum.Enum[Auto|LLVM|LLVMexec|LLVMRun|Python|PTXExec|PTXRun]
rather than specifying the use of pnl.ExecutionMode.The text was updated successfully, but these errors were encountered: