| # Copyright (c) 2012, 2017-2018 ARM Limited |
| # All rights reserved. |
| # |
| # The license below extends only to copyright in the software and shall |
| # not be construed as granting a license to any other intellectual |
| # property including but not limited to intellectual property relating |
| # to a hardware implementation of the functionality of the software |
| # licensed hereunder. You may use the software subject to the license |
| # terms below provided that you ensure that this notice is replicated |
| # unmodified and in its entirety in all distributions of the software, |
| # modified or unmodified, in source code or in binary form. |
| # |
| # Redistribution and use in source and binary forms, with or without |
| # modification, are permitted provided that the following conditions are |
| # met: redistributions of source code must retain the above copyright |
| # notice, this list of conditions and the following disclaimer; |
| # redistributions in binary form must reproduce the above copyright |
| # notice, this list of conditions and the following disclaimer in the |
| # documentation and/or other materials provided with the distribution; |
| # neither the name of the copyright holders nor the names of its |
| # contributors may be used to endorse or promote products derived from |
| # this software without specific prior written permission. |
| # |
| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS |
| # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT |
| # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR |
| # A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT |
| # OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, |
| # SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT |
| # LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, |
| # DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY |
| # THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT |
| # (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE |
| # OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE. |
| # |
| # Authors: Andreas Sandberg |
| |
| from __future__ import print_function |
| |
| from m5 import fatal |
| import m5.objects |
| import inspect |
| import sys |
| from textwrap import TextWrapper |
| |
| # Dictionary of mapping names of real CPU models to classes. |
| _cpu_classes = {} |
| |
| |
| def is_cpu_class(cls): |
| """Determine if a class is a CPU that can be instantiated""" |
| |
| # We can't use the normal inspect.isclass because the ParamFactory |
| # and ProxyFactory classes have a tendency to confuse it. |
| try: |
| return issubclass(cls, m5.objects.BaseCPU) and \ |
| not cls.abstract and \ |
| not issubclass(cls, m5.objects.CheckerCPU) |
| except (TypeError, AttributeError): |
| return False |
| |
| def _cpu_subclass_tester(name): |
| cpu_class = getattr(m5.objects, name, None) |
| |
| def tester(cls): |
| return cpu_class is not None and cls is not None and \ |
| issubclass(cls, cpu_class) |
| |
| return tester |
| |
| is_kvm_cpu = _cpu_subclass_tester("BaseKvmCPU") |
| is_atomic_cpu = _cpu_subclass_tester("AtomicSimpleCPU") |
| is_noncaching_cpu = _cpu_subclass_tester("NonCachingSimpleCPU") |
| |
| def get(name): |
| """Get a CPU class from a user provided class name or alias.""" |
| |
| try: |
| cpu_class = _cpu_classes[name] |
| return cpu_class |
| except KeyError: |
| print("%s is not a valid CPU model." % (name,)) |
| sys.exit(1) |
| |
| def print_cpu_list(): |
| """Print a list of available CPU classes including their aliases.""" |
| |
| print("Available CPU classes:") |
| doc_wrapper = TextWrapper(initial_indent="\t\t", subsequent_indent="\t\t") |
| for name, cls in _cpu_classes.items(): |
| print("\t%s" % name) |
| |
| # Try to extract the class documentation from the class help |
| # string. |
| doc = inspect.getdoc(cls) |
| if doc: |
| for line in doc_wrapper.wrap(doc): |
| print(line) |
| |
| def cpu_names(): |
| """Return a list of valid CPU names.""" |
| return list(_cpu_classes.keys()) |
| |
| def config_etrace(cpu_cls, cpu_list, options): |
| if issubclass(cpu_cls, m5.objects.DerivO3CPU): |
| # Assign the same file name to all cpus for now. This must be |
| # revisited when creating elastic traces for multi processor systems. |
| for cpu in cpu_list: |
| # Attach the elastic trace probe listener. Set the protobuf trace |
| # file names. Set the dependency window size equal to the cpu it |
| # is attached to. |
| cpu.traceListener = m5.objects.ElasticTrace( |
| instFetchTraceFile = options.inst_trace_file, |
| dataDepTraceFile = options.data_trace_file, |
| depWindowSize = 3 * cpu.numROBEntries) |
| # Make the number of entries in the ROB, LQ and SQ very |
| # large so that there are no stalls due to resource |
| # limitation as such stalls will get captured in the trace |
| # as compute delay. For replay, ROB, LQ and SQ sizes are |
| # modelled in the Trace CPU. |
| cpu.numROBEntries = 512; |
| cpu.LQEntries = 128; |
| cpu.SQEntries = 128; |
| else: |
| fatal("%s does not support data dependency tracing. Use a CPU model of" |
| " type or inherited from DerivO3CPU.", cpu_cls) |
| |
| # Add all CPUs in the object hierarchy. |
| for name, cls in inspect.getmembers(m5.objects, is_cpu_class): |
| _cpu_classes[name] = cls |
| |
| |
| from m5.defines import buildEnv |
| from importlib import import_module |
| for package in [ "generic", buildEnv['TARGET_ISA']]: |
| try: |
| package = import_module(".cores." + package, package=__package__) |
| except ImportError: |
| # No timing models for this ISA |
| continue |
| |
| for mod_name, module in inspect.getmembers(package, inspect.ismodule): |
| for name, cls in inspect.getmembers(module, is_cpu_class): |
| _cpu_classes[name] = cls |