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path: root/tools/intel_gpu_analyze.py
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#!/usr/bin/python
#
# Intel GPU Top data analyser
#

import sys
import os
import getopt
import tempfile

HEADER="""
<html>
<head>
<title>Analysis for %(title)s</title>
<style>
body {
    font-family: arial;
}

p {
    margin-left: 10px;
}
</style>
</head>

<body>
<h1>Analysis for %(title)s</h1>

<h2>Summary:</h2>
<p>
<h3>Execution lasted %(duration).2f seconds</h3>
"""

PERF_REFERENCE="""
<p>
<a href="%(perf)s">Kernel perf results analysis</a>
</p>
"""

MINMAXAVG="""
<p>
<h3>%(descr)s:</h3>
<b>Minimum:</b> %(min)s <br/>
<b>Maximum:</b> %(max)s <br/>
<b>Average:</b> %(avg)s <br/>
</p>
"""

FIGURE="""
<p>
<hr/>
<a href="%(img)s"><img src="%(img)s" width=800 height=600></a>
<br/>
<b>%(title)s</b>
</p>
"""

PERF_ITERATION="""
<hr/>
<a name="%(sec)d">
<h3>Second %(sec)d</h3>
</a>

Processes in execution: 
"""

PERF_SECOND_TITLE="""
<a href="#%(sec)d">Second %(sec)d</a>
<br/>
"""

PERF_PROCESS_REF="""
<a href="#%(sec)d.%(process)s">%(process)s</a>
"""

PERF_PROCESS="""
<a name="%(sec)d.%(process)s">
<h3>Process %(process)s</h3>
</a>
"""

PERF_TOP="""
<pre>
%(top)s
</pre>
"""

TAIL="""
</body>
</html>
"""

def print_header(output):
    """Prints the header"""
    print >>output, HEADER

def collect(fd):
    """Collects statistics for a given command"""
    columns={}
    results = {}
    while True:
        line = fd.readline()
        if not line:
            break
        line.strip()
        if line[0] == "#":
            # detecting column names
            cols = line[1:].strip().split('\t')
            for pos in range(len(cols)):
                columns[cols[pos]] = pos
            for col in columns:
                results[col] = []
            continue
        data = line.split()
        # fill in results from the headers
        for item in columns.keys():
            pos = columns[item]
            results[item].append(float(data[pos]))
    return results

def analyse_perf(logfile, out_dir, perf="perf.html"):
    """Analyses perf results"""
    if not os.access(logfile, os.R_OK):
        print "Error: unable to access perf log file %s" % logfile
        return
    perf_data = os.popen("perf script -f comm,pid,time,ip,sym -i %s 2>/dev/null" % logfile)
    if not perf_data:
        print "Error: unable to process perf log %s" % logfile
        return
    results = {}
    time_start = -1
    time_prev = -1
    while 1:
        line = perf_data.readline()
        if not line:
            break
        fields = line.strip().split()
        process = fields[0]
        pid = int(fields[1])
        time = float(fields[2][:-1]) # remove the trailing ':'
        ip = fields[3]
        if len(fields) > 4:
            function = fields[4]
        else:
            function = "unknown"
        # calculate time
        if time_start == -1:
            time_start = int(time) # floor down to the corresponding second
        # are we on the next second already?
        if time - time_start > 1.0:
            time_start = int(time)
        if time_start not in results:
            results[time_start] = {}
        # is the current process being tracked?
        if process not in results[time_start]:
            results[time_start][process]={}
        # calculate times for functions
        if function not in results[time_start][process]:
            results[time_start][process][function] = 0

        # ok, so now calculate per-function per-process stats
        results[time_start][process][function] += (time - time_prev)
        time_prev = time

    # all done, now process the results
    seconds = results.keys()
    seconds.sort()
    output = open("%s/%s" % (out_dir, perf), "w")
    print >>output, HEADER % {'title': 'Perf results for %s' % logfile,
            'duration': len(seconds)
            }
    for sec in seconds:
        # print TOC
        print >>output, PERF_SECOND_TITLE % {'sec': sec - seconds[0]}
    for sec in seconds:
        print >>output, PERF_ITERATION % {'sec': sec - seconds[0], 'processes': ', '.join(results[sec].keys())}
        for process in results[sec]:
            print >>output, PERF_PROCESS_REF % {'sec': sec - seconds[0], 'process': process}
        for process in results[sec]:
            print >>output, PERF_PROCESS % {'sec': sec - seconds[0], 'process': process}
            # let's sort functions
            functions_by_time = sorted(results[sec][process], key=lambda key: results[sec][process][key], reverse=True)
            top = ""
            for function in functions_by_time:
                top += "%.6f\t\t%s\n" % (results[sec][process][function], function)
            print >>output, PERF_TOP % { 'top': top }
    print >>output, TAIL
    output.close()

def plot_series(timeline, values, results, axis, title, linestyle='solid'):
    """A helper function to simplify plotting of a function
    from the array of results. It checks if the column does, in fact,
    exists; and if it does, carries on with plotting"""
    for column in [timeline, values]:
        if column not in results:
            print "Column %s not available for plotting" % values
            return
    axis.plot(results[timeline], results[values], label=title, linestyle=linestyle)

def analyse(results, title, out_dir, perf_logfile=None, summary="index.html"):
    """Analyses intel_gpu_top results"""
    # calculate min/max/avg values
    keys = results.keys()
    for iter in keys:
        if not results[iter]:
            print "ERROR: no results collected for '%s', skipping" % iter
            continue
        results["%s_min" % iter] = min(results[iter])
        results["%s_max" % iter] = max(results[iter])
        results["%s_avg" % iter] = sum(results[iter]) / len(results[iter])
    # start composing the output
    output = open("%s/%s" % (out_dir, summary), "w")
    print >>output, HEADER % {'title': title,
            'duration': results['time'][-1]
            }

    # print summaries
    for iter, descr in [('utime', 'User time % of CPU'),
            ('stime', 'System time % of CPU'),
            ('power', 'Power consumption (W)'),
            ('render', 'Render engine usage % of GPU'),
            ('render.ops', 'Render engine ops per interval'),
            ('bitstream', 'Bitstream engine usage % of GPU'),
            ('bitstream.ops', 'Bitstream engine ops per interval'),
            ('bitstream6', 'Bitstream 6 engine usage % of GPU'),
            ('bitstream6.ops', 'Bitstream 6 engine ops per interval'),
            ('blitter', 'Blitter engine usage % of GPU'),
            ('blitter.ops', 'Blitter engine ops per interval'),
            ]:
        if iter not in results:
            print "Column %s not present in results, skipping" % iter
            continue
        minval = results['%s_min' % iter]
        maxval = results['%s_max' % iter]
        avgval = results['%s_avg' % iter]
        if minval == maxval == avgval:
            # No variation in data, skipping
            print "No variations in %s, skipping" % iter
            continue
        minval_s = "%.2f" % minval
        maxval_s = "%.2f" % maxval
        avgval_s = "%.2f" % avgval
        print >>output, MINMAXAVG % {
                'descr': descr,
                'min': minval_s,
                'max': maxval_s,
                'avg': avgval_s,
                }

    # Do we have perf results?
    if perf_logfile:
        print >>output, PERF_REFERENCE % {'perf': 'perf.html'}

    # graphics
    try:
        import pylab
    except:
        print "Error: unable to import pylab: %s" % sys.exc_value
        return
    fig = pylab.figure()
    ax = pylab.subplot(111)
    box = ax.get_position()
    pylab.title("Summary of CPU/GPU/Power usage")
    pylab.ylabel("Usage (%)")
    pylab.xlabel("Time (s)")

    plot_series('time', 'utime', results, ax, "User time")
    plot_series('time', 'stime', results, ax, "System time")
    num_axis = 2
    for ring in ["render", "bitstream", "bitstream6", "blitter"]:
        if results.get("%s_avg" % ring, -1) == -1:
            print "No data for %s, skipping" % ring
            continue
        plot_series('time', ring, results, ax, ring)
        num_axis += 1
    # Do we have power?
    if results.get("power_avg", -1) != -1:
        # plotting power
        ax2 = ax.twinx()
        plot_series('time', 'power', results, ax2, "Power", "dotted")
        ax2.set_ylabel('Watts')
        ax2.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
        ax2.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.0))

    pylab.grid()
    # Shink current axis's height by 10% on the bottom
    ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
    pylab.savefig("%s/plot_summary.svg" % out_dir, format="svg", dpi=200)
    print >>output, FIGURE % {'img': 'plot_summary.svg',
            'title': 'Summary of the execution, outlining the CPU usage (in user and system mode), per-ring GPU usage, and power usage (if available) '
            }

    # graphics ops/per/second
    fig = pylab.figure()
    ax = pylab.subplot(111)
    pylab.title("GPU rings ops per interval")
    pylab.ylabel("Ops (n)")
    pylab.xlabel("Time (s)")

    num_axis = 0
    for ring in ["render.ops", "bitstream.ops", "bitstream6.ops", "blitter.ops"]:
        plot_series('time', ring, results, ax, ring)
        num_axis += 1

    pylab.grid()
    # Shink current axis's height by 10% on the bottom
    box = ax.get_position()
    ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
    pylab.savefig("%s/plot_gpu_ops.svg" % out_dir, format="svg", dpi=200)
    print >>output, FIGURE % {'img': 'plot_gpu_ops.svg',
            'title': 'Ops per interval for each GPU ring during the execution'
            }

    # power
    fig = pylab.figure()
    pylab.title("Power usage summary")
    pylab.ylabel("Power (W)")
    pylab.xlabel("Time (s)")
    ax = pylab.subplot(111)

    plot_series('time', 'power', results, ax, "Power")
    plot_series('time', 'power.chipset', results, ax, "Chipset")
    plot_series('time', 'power.gfx', results, ax, "GFX")
    ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    ax.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
    pylab.grid()
    # Shink current axis's height by 10% on the bottom
    pylab.savefig("%s/plot_power.svg" % out_dir, format="svg", dpi=200)
    print >>output, FIGURE % {'img': 'plot_power.svg',
            'title': 'Power usage over the course of execution'
            }

    # power vs CPU
    fig = pylab.figure()
    ax = pylab.subplot(111)
    ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    pylab.title("CPU vs Power usage")
    pylab.ylabel("Usage (%)")
    pylab.xlabel("Time (s)")

    plot_series('time', 'utime', results, ax, "User time")
    plot_series('time', 'stime', results, ax, "System time")
    # plotting power
    if 'power' in results:
        ax2 = ax.twinx()
        plot_series('time', 'power', results, ax2, "Power", "dashed")
        ax2.set_ylabel('Watts')
        ax2.legend(loc = 'upper center', ncol=1, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.0))

    pylab.grid()
    # Shink current axis's height by 10% on the bottom
    box = ax.get_position()
    ax.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
    pylab.savefig("%s/plot_power_cpu.svg" % out_dir, format="svg", dpi=200)
    print >>output, FIGURE % {'img': 'plot_power_cpu.svg',
            'title': 'Power utilization co-related to CPU'
            }

    # power vs GPU
    fig = pylab.figure()
    ax = pylab.subplot(111)
    pylab.title("GPU vs Power usage")
    pylab.ylabel("Usage (%)")
    pylab.xlabel("Time (s)")

    num_axis = 0
    for ring in ["render", "bitstream", "bitstream6", "blitter"]:
        plot_series('time', ring, results, ax, ring, "dashed")
        num_axis += 1
    # Do we have power?
    # plotting power
    ax2 = ax.twinx()
    plot_series('time', 'power', results, ax2, "Power")
    plot_series('time', 'power.chipset', results, ax2, "Chipset")
    plot_series('time', 'power.gfx', results, ax2, "GFX")
    ax2.set_ylabel('Watts')
    num_axis += 1

    pylab.grid()
    # Shink current axis's height by 10% on the bottom
    box = ax.get_position()
    ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    ax2.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
    ax.legend(loc = 'upper center', ncol=num_axis, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
    ax2.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.0))
    pylab.savefig("%s/plot_power_gpu.svg" % out_dir, format="svg", dpi=200)
    print >>output, FIGURE % {'img': 'plot_power_gpu.svg',
            'title': 'Power utilization co-related to all GPU rings'
            }

    # per-ring power
    for ring in ["render", "bitstream", "bitstream6", "blitter"]:
        fig = pylab.figure()
        ax = pylab.subplot(111)
        box = ax.get_position()
        ax.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
        pylab.title("Power usage vs %s ring" % ring)
        pylab.ylabel("Usage (%)")
        pylab.xlabel("Time (s)")

        plot_series('time', ring, results, ax, ring, "dashed")
        # plotting power
        ax2 = ax.twinx()
        plot_series('time', 'power', results, ax2, "Power")
        plot_series('time', 'power.chipset', results, ax2, "Chipset")
        plot_series('time', 'power.gfx', results, ax2, "GFX")
        ax2.set_ylabel('Watts')

        pylab.grid()
        # Shink current axis's height by 10% on the bottom
        ax2.set_position([box.x0, box.y0 + box.height * 0.1, box.width, box.height * 0.9])
        ax.legend(loc = 'upper center', ncol=1, fancybox=True, shadow=True, bbox_to_anchor = (0.5, -0.1))
        ax2.legend(loc = 'upper center', ncol=3, fancybox=True, shadow=True, bbox_to_anchor = (0.5, 0.0))
        pylab.savefig("%s/plot_power_gpu_%s.svg" % (out_dir, ring), format="svg", dpi=200)
        print >>output, FIGURE % {'img': 'plot_power_gpu_%s.svg' % ring,
                'title': 'Power utilization co-related to the %s ring' % ring
                }

    pass

    print >>output, TAIL
    output.close()

def usage(cmd):
    """Prints usage message"""
    print """Intel-gpu-analyser: intel GPU data analyser

Usage: %s [parameters].

The following arguments are accepted:
    -h, --help          display help message
    -l, --logfile       intel-gpu-top log file to analyse
    -c, --command       command to profile
    -t, --title         description of the command analysed
    -o, --output        output directory for the results
    -p, --perf          kernel perf log file to analyse.

You need to specify either a log file to analyse, or a command to profile,
or a perf log file to process.

When you specify both -l and -c, the last one takes predence.

If you do not give a log file to analyse, or a command to profile, this
tool will become sad, depressed and suicide itself with exit code of -1, and
you will feel bad about it.
""" % cmd

if __name__ == "__main__":
    # parse command line
    try:
        opt, args = getopt.getopt(sys.argv[1:], 'hl:c:t:o:p:', ['help', 'logfile=', 'command=', 'title=', 'output=', 'perf='])
    except getopt.error:
        usage(sys.argv[0])
        sys.exit(1)
    logfile = None
    perf_logfile = None
    title = None
    output = os.curdir
    for o in opt:
        # help
        if o[0] == '-h' or o[0] == '--help':
            usage(sys.argv[0])
            sys.exit(0)
        # list
        elif o[0] == '-p' or o[0] == '--perf':
            perf_logfile = o[1]
            print "Analysing perf log file: %s" % perf_logfile
        elif o[0] == '-l' or o[0] == '--logfile':
            logfile = open(o[1], "r")
            title = "Log file '%s'" % o[1]
        elif o[0] == '-c' or o[0] == '--command':
            logfile = os.popen("intel_gpu_top -o - -e \"%s\"" % o[1])
            title = "Execution of '%s'" % o[1]
        # force new level
        elif o[0] == '-t' or o[0] == '--title':
            title = o[1]
        elif o[0] == '-o' or o[0] == '--output':
            output = o[1]
    if not logfile and not perf_logfile:
        usage(sys.argv[0])
        print "Error: no log file and no command to profile, don't know what to do"
        sys.exit(1)
    try:
        os.makedirs(output)
    except:
        pass
    if logfile:
        results = collect(logfile)
        analyse(results, title, output, perf_logfile=perf_logfile)
    if perf_logfile:
        analyse_perf(perf_logfile, output)