# SPDX-License-Identifier: Apache-2.0
#
# Copyright (C) 2015, ARM Limited and contributors.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
# WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
""" CPUs Analysis Module """
import pandas as pd
import holoviews as hv
from lisa.analysis.base import TraceAnalysisBase
from lisa.trace import requires_events, CPU
from lisa.datautils import df_window
[docs]
class CpusAnalysis(TraceAnalysisBase):
"""
Support for CPUs signals analysis
"""
name = 'cpus'
###############################################################################
# DataFrame Getter Methods
###############################################################################
[docs]
@TraceAnalysisBase.df_method
@requires_events('sched_switch')
def df_context_switches(self):
"""
Compute number of context switches on each CPU.
:returns: A :class:`pandas.DataFrame` with:
* A ``context_switch_cnt`` column (the number of context switch per CPU)
"""
# Since we want to count the number of context switches, we don't want
# all tasks to appear
sched_df = self.trace.df_event(
'sched_switch',
signals=[],
)
# Make sure to only get the switches inside the window
sched_df = df_window(
sched_df,
method='exclusive',
window=self.trace.window,
)
cpus = list(range(self.trace.cpus_count))
ctx_sw_df = pd.DataFrame(
[len(sched_df[sched_df['__cpu'] == cpu]) for cpu in cpus],
index=cpus,
columns=['context_switch_cnt']
)
ctx_sw_df.index.name = 'cpu'
return ctx_sw_df
###############################################################################
# Plotting Methods
###############################################################################
[docs]
@TraceAnalysisBase.plot_method
@df_context_switches.used_events
def plot_context_switches(self):
"""
Plot histogram of context switches on each CPU.
"""
ctx_sw_df = self.df_context_switches()
return hv.Bars(
ctx_sw_df["context_switch_cnt"]
).options(
title='Per-CPU Task Context Switches',
xlabel='CPU',
ylabel='Number of context switches',
invert_axes=True,
)
[docs]
@TraceAnalysisBase.plot_method
def plot_orig_capacity(self, cpu: CPU):
"""
Plot the orig capacity of a CPU onto a given axis
:param cpu: The CPU
:type cpu: int
"""
orig_capacities = self.trace.plat_info['cpu-capacities']['orig']
return hv.HLine(
orig_capacities[cpu],
label='orig capacity'
).options(
backend='bokeh',
line_dash='dashed',
)
# vim :set tabstop=4 shiftwidth=4 expandtab textwidth=80