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# Copyright 2019 Google Inc.
#
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# 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
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# LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE,
# DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
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from m5.params import *
from m5.SimObject import SimObject
from m5.objects.SimpleMemory import *
class Workload(SimObject):
type = "Workload"
cxx_header = "sim/workload.hh"
cxx_class = "gem5::Workload"
abstract = True
wait_for_remote_gdb = Param.Bool(False, "Wait for a remote GDB connection")
class StubWorkload(Workload):
type = "StubWorkload"
cxx_header = "sim/workload.hh"
cxx_class = "gem5::StubWorkload"
entry = Param.Addr(0, "Dummy entry point for this workload.")
byte_order = Param.ByteOrder(
"little", "Dummy byte order for this workload."
)
class KernelWorkload(Workload):
type = "KernelWorkload"
cxx_header = "sim/kernel_workload.hh"
cxx_class = "gem5::KernelWorkload"
object_file = Param.String("", "File that contains the kernel code")
extras = VectorParam.String([], "Additional object files to load")
extras_addrs = VectorParam.Addr(
[], "Load addresses for additional object files"
)
addr_check = Param.Bool(
True,
"whether to bounds check kernel addresses (disable for baremetal)",
)
load_addr_mask = Param.UInt64(
0xFFFFFFFFFFFFFFFF,
"Mask to apply to kernel addresses. If zero, "
"auto-calculated to be the most restrictive.",
)
load_addr_offset = Param.UInt64(0, "Address to offset the kernel with")
command_line = Param.String("a", "boot flags to pass to the kernel")
class SEWorkloadMeta(type(Workload)):
all_se_workload_classes = []
def __new__(mcls, name, bases, dct):
cls = super().__new__(mcls, name, bases, dct)
SEWorkloadMeta.all_se_workload_classes.append(cls)
return cls
class SEWorkload(Workload, metaclass=SEWorkloadMeta):
type = "SEWorkload"
cxx_header = "sim/se_workload.hh"
cxx_class = "gem5::SEWorkload"
abstract = True
@classmethod
def _is_compatible_with(cls, obj):
return False
@classmethod
def find_compatible(cls, path):
"""List the SE workloads compatible with the binary at path"""
from _m5 import object_file
obj = object_file.create(path)
options = list(
filter(
lambda wld: wld._is_compatible_with(obj),
SEWorkloadMeta.all_se_workload_classes,
)
)
return options
@classmethod
def init_compatible(cls, path, *args, **kwargs):
"""Construct the only SE workload compatible with the binary at path"""
options = SEWorkload.find_compatible(path)
if len(options) > 1:
raise ValueError("More than one SE workload is compatible with %s")
elif len(options) < 1:
raise ValueError("No SE workload is compatible with %s", path)
return options[0](*args, **kwargs)