python: Add JsonLoader to pystats
Allows for loading JSON files (e.g. m5out/stats.json) into the gem5 Python stats model. Change-Id: I948dff0b23ea65c4c7acaac5e4fdf3795de1c0a7 Signed-off-by: Kelly Nguyen <klynguyen@ucdavis.edu> Reviewed-on: https://gem5-review.googlesource.com/c/public/gem5/+/43606 Reviewed-by: Jason Lowe-Power <power.jg@gmail.com> Maintainer: Jason Lowe-Power <power.jg@gmail.com> Tested-by: kokoro <noreply+kokoro@google.com>
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@@ -71,6 +71,7 @@ PySource('m5.ext.pystats', 'm5/ext/pystats/simstat.py')
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PySource('m5.ext.pystats', 'm5/ext/pystats/statistic.py')
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PySource('m5.ext.pystats', 'm5/ext/pystats/storagetype.py')
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PySource('m5.ext.pystats', 'm5/ext/pystats/timeconversion.py')
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PySource('m5.ext.pystats', 'm5/ext/pystats/jsonloader.py')
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PySource('m5.stats', 'm5/stats/gem5stats.py')
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Source('pybind11/core.cc', add_tags='python')
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@@ -30,6 +30,7 @@ from .simstat import SimStat
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from .statistic import Statistic
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from .storagetype import StorageType
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from .timeconversion import TimeConversion
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from .jsonloader import JsonLoader
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__all__ = [
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"Group",
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@@ -38,4 +39,5 @@ __all__ = [
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"TimeConversion",
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"StorageType",
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"JsonSerializable",
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]
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"JsonLoader",
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]
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92
src/python/m5/ext/pystats/jsonloader.py
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92
src/python/m5/ext/pystats/jsonloader.py
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@@ -0,0 +1,92 @@
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# Copyright (c) 2021 The Regents of The University of California
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# All rights reserved.
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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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from .simstat import SimStat
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from .statistic import Scalar, Distribution, Accumulator
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from .group import Group, Vector
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import json
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from typing import IO
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class JsonLoader(json.JSONDecoder):
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"""
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Subclass of JSONDecoder that overrides 'object_hook'. Converts JSON object
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into a SimStat object.
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Usage
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-----
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```
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from m5.ext.pystats.jsonloader import JsonLoader
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with open(path) as f:
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simstat_object = json.load(f, cls=JsonLoader)
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```
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"""
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def __init__(self):
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json.JSONDecoder.__init__(self, object_hook=self.__json_to_simstat)
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def __json_to_simstat(self, d: dict) -> SimStat:
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if 'type' in d:
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if d['type'] == 'Scalar':
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d.pop('type', None)
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return Scalar(**d)
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elif d['type'] == 'Distribution':
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d.pop('type', None)
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return Distribution(**d)
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elif d['type'] == 'Accumulator':
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d.pop('type', None)
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return Accumulator(**d)
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elif d['type'] == 'Group':
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return Group(**d)
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elif d['type'] == 'Vector':
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d.pop('type', None)
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d.pop('time_conversion', None)
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return Vector(d)
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else:
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return SimStat(**d)
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def load(json_file: IO) -> SimStat:
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"""
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Wrapper function that provides a cleaner interface for using the
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JsonLoader class.
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Usage
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-----
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```
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import m5.ext.pystats as pystats
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with open(path) as f:
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pystats.jsonloader.load(f)
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```
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"""
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simstat_object = json.load(json_file, cls=JsonLoader)
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return simstat_object
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