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Commit 50c3c158 authored by Peter W. Draper's avatar Peter W. Draper
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Update non-MPI plotting scripts to same level as MPI ones

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examples/plot_tasks.py 100644 → 100755
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###############################################################################
# This file is part of SWIFT.
# Copyright (c) 2015 Pedro Gonnet (pedro.gonnet@durham.ac.uk),
# Bert Vandenbroucke (bert.vandenbroucke@ugent.be)
# Matthieu Schaller (matthieu.schaller@durham.ac.uk)
#
# This program is free software: you can redistribute it and/or modify
# it under the terms of the GNU Lesser General Public License as published
# by the Free Software Foundation, either version 3 of the License, or
# (at your option) any later version.
#
# This program is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
# GNU General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public License
# along with this program. If not, see <http://www.gnu.org/licenses/>.
#
##############################################################################
#!/usr/bin/env python
"""
Usage:
plot_tasks.py input.dat output.png [time-range-ms]
where input.dat is a thread info file for a step. Use the '-y interval'
flag of the swift MPI commands to create these. The output plot will be
called 'output.png'. Use the time-range-ms in millisecs to produce
plots with the same time span.
This file is part of SWIFT.
Copyright (c) 2015 Pedro Gonnet (pedro.gonnet@durham.ac.uk),
Bert Vandenbroucke (bert.vandenbroucke@ugent.be)
Matthieu Schaller (matthieu.schaller@durham.ac.uk)
(c) 2016 Peter W. Draper (p.w.draper@durham.ac.uk)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Lesser General Public License as published
by the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU Lesser General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
"""
import matplotlib
import matplotlib.collections as collections
matplotlib.use('Agg')
import pylab as pl
import numpy as np
import sys
# CPU ticks per second.
CPU_CLOCK = 2.7e9
params = {'axes.labelsize': 10,
'axes.titlesize': 10,
'text.fontsize': 12,
'legend.fontsize': 12,
'xtick.labelsize': 10,
'ytick.labelsize': 10,
'text.usetex': True,
'figure.figsize' : (12., 4.),
'figure.subplot.left' : 0.03,
'figure.subplot.right' : 0.995 ,
'figure.subplot.bottom' : 0.1 ,
'figure.subplot.top' : 0.99 ,
'figure.subplot.wspace' : 0. ,
'figure.subplot.hspace' : 0. ,
'lines.markersize' : 6,
'lines.linewidth' : 3.,
'text.latex.unicode': True
}
pl.rcParams.update(params)
pl.rc('font',**{'family':'sans-serif','sans-serif':['Times']})
types = {"0": "task_none",
"1": "task_sort",
"2": "task_self",
"3": "task_pair",
"4": "task_sub",
"5": "task_ghost",
"6": "task_kick1",
"7": "task_kick2",
"8": "task_send",
"9": "task_recv",
"10": "task_grav_pp",
"11": "task_grav_mm",
"12": "task_grav_up",
"13": "task_grav_down",
"14": "task_psort",
"15": "task_split_cell",
"16": "task_rewait",
"17": "task_count"}
subtypes = {"0": "subtask_none",
"1": "subtask_density",
"2": "subtask_force",
"3": "subtask_grav",
"4": "subtask_count"}
# Assign colours for all types.
colors = ["red","blue","green","yellow","cyan","magenta","black"]
colors = colors + list(matplotlib.colors.cnames)
index = 0
subtypecolors = {}
for key in subtypes:
subtypecolors[subtypes[key]] = colors[index]
print subtypes[key], " = ", colors[index]
index = index + 1
taskcolors = {}
for key in types:
taskcolors[types[key]] = colors[index]
print types[key], " = ", colors[index]
index = index + 1
data = pl.loadtxt("thread_info.dat")
# Basic plot configuration.
PLOT_PARAMS = {"axes.labelsize": 10,
"axes.titlesize": 10,
"font.size": 12,
"legend.fontsize": 12,
"xtick.labelsize": 10,
"ytick.labelsize": 10,
"figure.figsize" : (16., 4.),
"figure.subplot.left" : 0.03,
"figure.subplot.right" : 0.995,
"figure.subplot.bottom" : 0.1,
"figure.subplot.top" : 0.99,
"figure.subplot.wspace" : 0.,
"figure.subplot.hspace" : 0.,
"lines.markersize" : 6,
"lines.linewidth" : 3.
}
pl.rcParams.update(PLOT_PARAMS)
# Tasks and subtypes. Indexed as in tasks.h.
TASKTYPES = ["none", "sort", "self", "pair", "sub", "ghost", "kick1", "kick2",
"send", "recv", "grav_pp", "grav_mm", "grav_up", "grav_down",
"psort", "split_cell", "rewait", "count"]
TASKCOLOURS = {"none": "black",
"sort": "lightblue",
"self": "greenyellow",
"pair": "navy",
"sub": "hotpink",
"ghost": "cyan",
"kick1": "maroon",
"kick2": "green",
"send": "yellow",
"recv": "magenta",
"grav_pp": "mediumorchid",
"grav_mm": "mediumturquoise",
"grav_up": "mediumvioletred",
"grav_down": "mediumnightblue",
"psort": "steelblue",
"split_cell": "seagreen",
"rewait": "olive",
"count": "powerblue"}
SUBTYPES = ["none", "density", "force", "grav", "count"]
SUBCOLOURS = {"none": "black",
"density": "red",
"force": "blue",
"grav": "indigo",
"count": "purple"}
# Show docs if help is requested.
if len( sys.argv ) == 2 and ( sys.argv[1][0:2] == "-h" or sys.argv[1][0:3] == "--h" ):
from pydoc import help
help( "__main__" )
sys.exit( 0 )
# Handle command-line.
if len( sys.argv ) != 3 and len( sys.argv ) != 4:
print "Usage: ", sys.argv[0], "input.dat output.png [time-range-ms]"
sys.exit(1)
infile = sys.argv[1]
outpng = sys.argv[2]
delta_t = 0
if len( sys.argv ) == 4:
delta_t = int(sys.argv[3]) * CPU_CLOCK / 1000
# Read input.
data = pl.loadtxt( infile )
nthread = int(max(data[:,0])) + 1
print "Number of threads:", nthread
tasks = {}
tasks[-1] = []
for i in range(nthread):
tasks[i] = []
# Avoid start and end times of zero.
data = data[data[:,4] != 0]
data = data[data[:,5] != 0]
# Calculate the time range, it not given.
if delta_t == 0:
dt = max(data[:,5]) - min(data[:,4])
if dt > delta_t:
delta_t = dt
# Once more doing the real gather and plots this time.
start_t = min(data[:,4])
end_t = max(data[:,5])
data[:,4] -= start_t
data[:,5] -= start_t
num_lines = pl.size(data) / 8
tasks = {}
tasks[-1] = []
for i in range(nthread):
tasks[i] = []
num_lines = pl.size(data) / 10
for line in range(num_lines):
thread = int(data[line,0])
tasks[thread].append({})
tasks[thread][-1]["type"] = types[ str(int(data[line,1])) ]
tasks[thread][-1]["subtype"] = subtypes[str(int(data[line,2]))]
tasks[thread][-1]["tic"] = int(data[line,4]) / CPU_CLOCK * 1000
tasks[thread][-1]["toc"] = int(data[line,5]) / CPU_CLOCK * 1000
tasks[thread][-1]["t"] = (tasks[thread][-1]["toc"]+tasks[thread][-1]["tic"]) / 2
tasks[thread][-1]["type"] = TASKTYPES[int(data[line,1])]
tasks[thread][-1]["subtype"] = SUBTYPES[int(data[line,2])]
tic = int(data[line,4]) / CPU_CLOCK * 1000
toc = int(data[line,5]) / CPU_CLOCK * 1000
tasks[thread][-1]["tic"] = tic
tasks[thread][-1]["toc"] = toc
tasks[thread][-1]["t"] = (toc + tic)/ 2
combtasks = {}
combtasks[-1] = []
......@@ -136,22 +162,68 @@ for thread in range(nthread):
combtasks[thread][-1]["subtype"] = task["subtype"]
combtasks[thread][-1]["tic"] = task["tic"]
combtasks[thread][-1]["toc"] = task["toc"]
if task["type"] == 'task_self' or task["type"] == 'task_pair' or task["type"] == 'task_sub':
combtasks[thread][-1]["color"] = subtypecolors[task["subtype"]]
if task["type"] == "self" or task["type"] == "pair" or task["type"] == "sub":
combtasks[thread][-1]["colour"] = SUBCOLOURS[task["subtype"]]
else:
combtasks[thread][-1]["color"] = taskcolors[task["type"]]
combtasks[thread][-1]["colour"] = TASKCOLOURS[task["type"]]
lasttype = task["type"]
else:
combtasks[thread][-1]["toc"] = task["toc"]
typesseen = []
fig = pl.figure()
ax = fig.add_subplot(1,1,1)
ax.set_xlim(0, delta_t * 1.03 * 1000 / CPU_CLOCK)
ax.set_ylim(0, nthread)
tictoc = np.zeros(2)
for i in range(nthread):
for task in combtasks[i]:
pl.fill_between([task["tic"], task["toc"]], i+0.05, i+0.95, facecolor=task["color"])
pl.xlabel("Wall clock time [ms]")
pl.xlim(0, (end_t - start_t)*1.03 * 1000 / CPU_CLOCK)
pl.ylabel("Thread ID")
pl.yticks(pl.array(range(nthread)) + 0.5, pl.array(range(nthread)))
pl.savefig("task_graph.png")
# Collect ranges and colours into arrays.
tictocs = np.zeros(len(combtasks[i])*2)
colours = np.empty(len(combtasks[i])*2, dtype='object')
coloursseen = []
j = 0
for task in combtasks[i]:
tictocs[j] = task["tic"]
tictocs[j+1] = task["toc"]
colours[j] = task["colour"]
colours[j+1] = task["colour"]
j = j + 2
if task["colour"] not in coloursseen:
coloursseen.append(task["colour"])
# Legend support, collections don't add to this.
if task["subtype"] != "none":
qtask = task["type"] + "/" + task["subtype"]
else:
qtask = task["type"]
if qtask not in typesseen:
pl.plot([], [], color=task["colour"], label=qtask)
typesseen.append(qtask)
# Now plot each colour, faster to use a mask to select colour ranges.
for colour in coloursseen:
collection = collections.BrokenBarHCollection.span_where(tictocs, ymin=i+0.05, ymax=i+0.95,
where=colours == colour,
facecolor=colour,
linewidths=0)
ax.add_collection(collection)
# Legend and room for it.
nrow = len(typesseen) / 5
if len(typesseen) * 5 < nrow:
nrow = nrow + 1
ax.fill_between([0, 0], nthread+0.5, nthread + nrow + 0.5, facecolor="white")
ax.set_ylim(0, nthread + nrow + 1)
ax.legend(loc=1, shadow=True, mode="expand", ncol=5)
ax.set_xlabel("Wall clock time [ms]")
ax.set_ylabel("Thread ID" )
ax.set_yticks(pl.array(range(nthread)), True)
pl.show()
pl.savefig(outpng)
print "Graphics done, output written to", outpng
sys.exit(0)
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