f0e36029ff
That makes it possible for the config script to retrieve the result of running sc_main. sc_main (or at least the python front end for it) can't return results directly since it usually doesn't run to completion when it's first called. Change-Id: I9740e9688571e2ca824a684be70480f1eadddcdb Reviewed-on: https://gem5-review.googlesource.com/12253 Reviewed-by: Gabe Black <gabeblack@google.com> Maintainer: Gabe Black <gabeblack@google.com>
83 lines
3.4 KiB
Python
83 lines
3.4 KiB
Python
# Copyright 2018 Google, Inc.
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#
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# Redistribution and use in source and binary forms, with or without
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# modification, are permitted provided that the following conditions are
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# met: redistributions of source code must retain the above copyright
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# notice, this list of conditions and the following disclaimer;
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# redistributions in binary form must reproduce the above copyright
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# notice, this list of conditions and the following disclaimer in the
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# documentation and/or other materials provided with the distribution;
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# neither the name of the copyright holders nor the names of its
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# contributors may be used to endorse or promote products derived from
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# this software without specific prior written permission.
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#
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# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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# "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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# LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
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# A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT
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# OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
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# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
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# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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# THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
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# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
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# OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
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#
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# Authors: Gabe Black
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from m5.SimObject import SimObject
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# This class represents the systemc kernel. There should be exactly one in the
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# simulation. It receives gem5 SimObject lifecycle callbacks (init, regStats,
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# etc.) and manages the lifecycle of the systemc simulation accordingly.
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# It also acts as a collecting point for systemc related control functionality.
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class SystemC_Kernel(SimObject):
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type = 'SystemC_Kernel'
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cxx_class = 'sc_gem5::Kernel'
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cxx_header = 'systemc/core/kernel.hh'
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class ScMainResult(object):
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def __init__(self, code, message):
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self.code = code
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self.message = message
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def sc_main(self, *args):
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'''Call the systemc sc_main function with the given string args'''
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from _m5.systemc import sc_main
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sc_main(*args)
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def sc_main_result(self):
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'''Retrieve and return the results of running sc_main'''
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from _m5.systemc import sc_main_result_code, sc_main_result_str
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return SystemC_Kernel.ScMainResult(
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sc_main_result_code(), sc_main_result_str());
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# This class represents systemc sc_object instances in python config files. It
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# inherits from SimObject in python, but the c++ version, sc_core::sc_object,
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# doesn't inherit from gem5's c++ SimObject class.
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class SystemC_ScObject(SimObject):
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type = 'SystemC_ScObject'
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abstract = True
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cxx_class = 'sc_core::sc_object'
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cxx_header = 'systemc/ext/core/sc_object.hh'
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# Clear cxx_base to stop the c++ binding code from assuming
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# sc_core::sc_object inherits from SimObject, even though SystemC_ScObject
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# does on the python side.
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cxx_base = None
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# Hide the cxx_exports from SimObject since we don't inherit from
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# SimObject on the c++ side and so don't have those methods to call down
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# into.
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locals().update({
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method.name: (lambda *a, **k: None) for method in SimObject.cxx_exports
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})
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try:
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import _m5
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except:
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pass
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else:
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import _m5.systemc
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_m5.systemc.python_ready()
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