Patched in Tegra support.

7 files changed, 0 insertions, 372 deletions

diff --git a/tools/perf/scripts/python/Perf-Trace-Util/lib/Perf/Trace/EventClass.py b/tools/perf/scripts/python/Perf-Trace-Util/lib/Perf/Trace/EventClass.py
deleted file mode 100755
index 9e0985794e2..00000000000
--- a/tools/perf/scripts/python/Perf-Trace-Util/lib/Perf/Trace/EventClass.py
+++ /dev/null
@@ -1,94 +0,0 @@
-# EventClass.py
-#
-# This is a library defining some events types classes, which could
-# be used by other scripts to analyzing the perf samples.
-#
-# Currently there are just a few classes defined for examples,
-# PerfEvent is the base class for all perf event sample, PebsEvent
-# is a HW base Intel x86 PEBS event, and user could add more SW/HW
-# event classes based on requirements.
-
-import struct
-
-# Event types, user could add more here
-EVTYPE_GENERIC  = 0
-EVTYPE_PEBS     = 1     # Basic PEBS event
-EVTYPE_PEBS_LL  = 2     # PEBS event with load latency info
-EVTYPE_IBS      = 3
-
-#
-# Currently we don't have good way to tell the event type, but by
-# the size of raw buffer, raw PEBS event with load latency data's
-# size is 176 bytes, while the pure PEBS event's size is 144 bytes.
-#
-def create_event(name, comm, dso, symbol, raw_buf):
-        if (len(raw_buf) == 144):
-                event = PebsEvent(name, comm, dso, symbol, raw_buf)
-        elif (len(raw_buf) == 176):
-                event = PebsNHM(name, comm, dso, symbol, raw_buf)
-        else:
-                event = PerfEvent(name, comm, dso, symbol, raw_buf)
-
-        return event
-
-class PerfEvent(object):
-        event_num = 0
-        def __init__(self, name, comm, dso, symbol, raw_buf, ev_type=EVTYPE_GENERIC):
-                self.name       = name
-                self.comm       = comm
-                self.dso        = dso
-                self.symbol     = symbol
-                self.raw_buf    = raw_buf
-                self.ev_type    = ev_type
-                PerfEvent.event_num += 1
-
-        def show(self):
-                print "PMU event: name=%12s, symbol=%24s, comm=%8s, dso=%12s" % (self.name, self.symbol, self.comm, self.dso)
-
-#
-# Basic Intel PEBS (Precise Event-based Sampling) event, whose raw buffer
-# contains the context info when that event happened: the EFLAGS and
-# linear IP info, as well as all the registers.
-#
-class PebsEvent(PerfEvent):
-        pebs_num = 0
-        def __init__(self, name, comm, dso, symbol, raw_buf, ev_type=EVTYPE_PEBS):
-                tmp_buf=raw_buf[0:80]
-                flags, ip, ax, bx, cx, dx, si, di, bp, sp = struct.unpack('QQQQQQQQQQ', tmp_buf)
-                self.flags = flags
-                self.ip    = ip
-                self.ax    = ax
-                self.bx    = bx
-                self.cx    = cx
-                self.dx    = dx
-                self.si    = si
-                self.di    = di
-                self.bp    = bp
-                self.sp    = sp
-
-                PerfEvent.__init__(self, name, comm, dso, symbol, raw_buf, ev_type)
-                PebsEvent.pebs_num += 1
-                del tmp_buf
-
-#
-# Intel Nehalem and Westmere support PEBS plus Load Latency info which lie
-# in the four 64 bit words write after the PEBS data:
-#       Status: records the IA32_PERF_GLOBAL_STATUS register value
-#       DLA:    Data Linear Address (EIP)
-#       DSE:    Data Source Encoding, where the latency happens, hit or miss
-#               in L1/L2/L3 or IO operations
-#       LAT:    the actual latency in cycles
-#
-class PebsNHM(PebsEvent):
-        pebs_nhm_num = 0
-        def __init__(self, name, comm, dso, symbol, raw_buf, ev_type=EVTYPE_PEBS_LL):
-                tmp_buf=raw_buf[144:176]
-                status, dla, dse, lat = struct.unpack('QQQQ', tmp_buf)
-                self.status = status
-                self.dla = dla
-                self.dse = dse
-                self.lat = lat
-
-                PebsEvent.__init__(self, name, comm, dso, symbol, raw_buf, ev_type)
-                PebsNHM.pebs_nhm_num += 1
-                del tmp_buf
diff --git a/tools/perf/scripts/python/bin/event_analyzing_sample-record b/tools/perf/scripts/python/bin/event_analyzing_sample-record
deleted file mode 100644
index 5ce652dabd0..00000000000
--- a/tools/perf/scripts/python/bin/event_analyzing_sample-record
+++ /dev/null
@@ -1,8 +0,0 @@
-#!/bin/bash
-
-#
-# event_analyzing_sample.py can cover all type of perf samples including
-# the tracepoints, so no special record requirements, just record what
-# you want to analyze.
-#
-perf record $@
diff --git a/tools/perf/scripts/python/bin/event_analyzing_sample-report b/tools/perf/scripts/python/bin/event_analyzing_sample-report
deleted file mode 100644
index 0941fc94e15..00000000000
--- a/tools/perf/scripts/python/bin/event_analyzing_sample-report
+++ /dev/null
@@ -1,3 +0,0 @@
-#!/bin/bash
-# description: analyze all perf samples
-perf script $@ -s "$PERF_EXEC_PATH"/scripts/python/event_analyzing_sample.py
diff --git a/tools/perf/scripts/python/bin/net_dropmonitor-record b/tools/perf/scripts/python/bin/net_dropmonitor-record
deleted file mode 100755
index 423fb81dada..00000000000
--- a/tools/perf/scripts/python/bin/net_dropmonitor-record
+++ /dev/null
@@ -1,2 +0,0 @@
-#!/bin/bash
-perf record -e skb:kfree_skb $@
diff --git a/tools/perf/scripts/python/bin/net_dropmonitor-report b/tools/perf/scripts/python/bin/net_dropmonitor-report
deleted file mode 100755
index 8d698f5a06a..00000000000
--- a/tools/perf/scripts/python/bin/net_dropmonitor-report
+++ /dev/null
@@ -1,4 +0,0 @@
-#!/bin/bash
-# description: display a table of dropped frames
-
-perf script -s "$PERF_EXEC_PATH"/scripts/python/net_dropmonitor.py $@
diff --git a/tools/perf/scripts/python/event_analyzing_sample.py b/tools/perf/scripts/python/event_analyzing_sample.py
deleted file mode 100644
index 163c39fa12d..00000000000
--- a/tools/perf/scripts/python/event_analyzing_sample.py
+++ /dev/null
@@ -1,189 +0,0 @@
-# event_analyzing_sample.py: general event handler in python
-#
-# Current perf report is already very powerful with the annotation integrated,
-# and this script is not trying to be as powerful as perf report, but
-# providing end user/developer a flexible way to analyze the events other
-# than trace points.
-#
-# The 2 database related functions in this script just show how to gather
-# the basic information, and users can modify and write their own functions
-# according to their specific requirement.
-#
-# The first function "show_general_events" just does a basic grouping for all
-# generic events with the help of sqlite, and the 2nd one "show_pebs_ll" is
-# for a x86 HW PMU event: PEBS with load latency data.
-#
-
-import os
-import sys
-import math
-import struct
-import sqlite3
-
-sys.path.append(os.environ['PERF_EXEC_PATH'] + \
-        '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
-
-from perf_trace_context import *
-from EventClass import *
-
-#
-# If the perf.data has a big number of samples, then the insert operation
-# will be very time consuming (about 10+ minutes for 10000 samples) if the
-# .db database is on disk. Move the .db file to RAM based FS to speedup
-# the handling, which will cut the time down to several seconds.
-#
-con = sqlite3.connect("/dev/shm/perf.db")
-con.isolation_level = None
-
-def trace_begin():
-        print "In trace_begin:\n"
-
-        #
-        # Will create several tables at the start, pebs_ll is for PEBS data with
-        # load latency info, while gen_events is for general event.
-        #
-        con.execute("""
-                create table if not exists gen_events (
-                        name text,
-                        symbol text,
-                        comm text,
-                        dso text
-                );""")
-        con.execute("""
-                create table if not exists pebs_ll (
-                        name text,
-                        symbol text,
-                        comm text,
-                        dso text,
-                        flags integer,
-                        ip integer,
-                        status integer,
-                        dse integer,
-                        dla integer,
-                        lat integer
-                );""")
-
-#
-# Create and insert event object to a database so that user could
-# do more analysis with simple database commands.
-#
-def process_event(param_dict):
-        event_attr = param_dict["attr"]
-        sample     = param_dict["sample"]
-        raw_buf    = param_dict["raw_buf"]
-        comm       = param_dict["comm"]
-        name       = param_dict["ev_name"]
-
-        # Symbol and dso info are not always resolved
-        if (param_dict.has_key("dso")):
-                dso = param_dict["dso"]
-        else:
-                dso = "Unknown_dso"
-
-        if (param_dict.has_key("symbol")):
-                symbol = param_dict["symbol"]
-        else:
-                symbol = "Unknown_symbol"
-
-        # Create the event object and insert it to the right table in database
-        event = create_event(name, comm, dso, symbol, raw_buf)
-        insert_db(event)
-
-def insert_db(event):
-        if event.ev_type == EVTYPE_GENERIC:
-                con.execute("insert into gen_events values(?, ?, ?, ?)",
-                                (event.name, event.symbol, event.comm, event.dso))
-        elif event.ev_type == EVTYPE_PEBS_LL:
-                event.ip &= 0x7fffffffffffffff
-                event.dla &= 0x7fffffffffffffff
-                con.execute("insert into pebs_ll values (?, ?, ?, ?, ?, ?, ?, ?, ?, ?)",
-                        (event.name, event.symbol, event.comm, event.dso, event.flags,
-                                event.ip, event.status, event.dse, event.dla, event.lat))
-
-def trace_end():
-        print "In trace_end:\n"
-        # We show the basic info for the 2 type of event classes
-        show_general_events()
-        show_pebs_ll()
-        con.close()
-
-#
-# As the event number may be very big, so we can't use linear way
-# to show the histogram in real number, but use a log2 algorithm.
-#
-
-def num2sym(num):
-        # Each number will have at least one '#'
-        snum = '#' * (int)(math.log(num, 2) + 1)
-        return snum
-
-def show_general_events():
-
-        # Check the total record number in the table
-        count = con.execute("select count(*) from gen_events")
-        for t in count:
-                print "There is %d records in gen_events table" % t[0]
-                if t[0] == 0:
-                        return
-
-        print "Statistics about the general events grouped by thread/symbol/dso: \n"
-
-         # Group by thread
-        commq = con.execute("select comm, count(comm) from gen_events group by comm order by -count(comm)")
-        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
-        for row in commq:
-             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-        # Group by symbol
-        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
-        symbolq = con.execute("select symbol, count(symbol) from gen_events group by symbol order by -count(symbol)")
-        for row in symbolq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-        # Group by dso
-        print "\n%40s %8s %16s\n%s" % ("dso", "number", "histogram", "="*74)
-        dsoq = con.execute("select dso, count(dso) from gen_events group by dso order by -count(dso)")
-        for row in dsoq:
-             print "%40s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-#
-# This function just shows the basic info, and we could do more with the
-# data in the tables, like checking the function parameters when some
-# big latency events happen.
-#
-def show_pebs_ll():
-
-        count = con.execute("select count(*) from pebs_ll")
-        for t in count:
-                print "There is %d records in pebs_ll table" % t[0]
-                if t[0] == 0:
-                        return
-
-        print "Statistics about the PEBS Load Latency events grouped by thread/symbol/dse/latency: \n"
-
-        # Group by thread
-        commq = con.execute("select comm, count(comm) from pebs_ll group by comm order by -count(comm)")
-        print "\n%16s %8s %16s\n%s" % ("comm", "number", "histogram", "="*42)
-        for row in commq:
-             print "%16s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-        # Group by symbol
-        print "\n%32s %8s %16s\n%s" % ("symbol", "number", "histogram", "="*58)
-        symbolq = con.execute("select symbol, count(symbol) from pebs_ll group by symbol order by -count(symbol)")
-        for row in symbolq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-        # Group by dse
-        dseq = con.execute("select dse, count(dse) from pebs_ll group by dse order by -count(dse)")
-        print "\n%32s %8s %16s\n%s" % ("dse", "number", "histogram", "="*58)
-        for row in dseq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-        # Group by latency
-        latq = con.execute("select lat, count(lat) from pebs_ll group by lat order by lat")
-        print "\n%32s %8s %16s\n%s" % ("latency", "number", "histogram", "="*58)
-        for row in latq:
-             print "%32s %8d     %s" % (row[0], row[1], num2sym(row[1]))
-
-def trace_unhandled(event_name, context, event_fields_dict):
-                print ' '.join(['%s=%s'%(k,str(v))for k,v in sorted(event_fields_dict.items())])
diff --git a/tools/perf/scripts/python/net_dropmonitor.py b/tools/perf/scripts/python/net_dropmonitor.py
deleted file mode 100755
index a4ffc950002..00000000000
--- a/tools/perf/scripts/python/net_dropmonitor.py
+++ /dev/null
@@ -1,72 +0,0 @@
-# Monitor the system for dropped packets and proudce a report of drop locations and counts
-
-import os
-import sys
-
-sys.path.append(os.environ['PERF_EXEC_PATH'] + \
-                '/scripts/python/Perf-Trace-Util/lib/Perf/Trace')
-
-from perf_trace_context import *
-from Core import *
-from Util import *
-
-drop_log = {}
-kallsyms = []
-
-def get_kallsyms_table():
-        global kallsyms
-        try:
-                f = open("/proc/kallsyms", "r")
-                linecount = 0
-                for line in f:
-                        linecount = linecount+1
-                f.seek(0)
-        except:
-                return
-
-
-        j = 0
-        for line in f:
-                loc = int(line.split()[0], 16)
-                name = line.split()[2]
-                j = j +1
-                if ((j % 100) == 0):
-                        print "\r" + str(j) + "/" + str(linecount),
-                kallsyms.append({ 'loc': loc, 'name' : name})
-
-        print "\r" + str(j) + "/" + str(linecount)
-        kallsyms.sort()
-        return
-
-def get_sym(sloc):
-        loc = int(sloc)
-        for i in kallsyms:
-                if (i['loc'] >= loc):
-                        return (i['name'], i['loc']-loc)
-        return (None, 0)
-
-def print_drop_table():
-        print "%25s %25s %25s" % ("LOCATION", "OFFSET", "COUNT")
-        for i in drop_log.keys():
-                (sym, off) = get_sym(i)
-                if sym == None:
-                        sym = i
-                print "%25s %25s %25s" % (sym, off, drop_log[i])
-
-
-def trace_begin():
-        print "Starting trace (Ctrl-C to dump results)"
-
-def trace_end():
-        print "Gathering kallsyms data"
-        get_kallsyms_table()
-        print_drop_table()
-
-# called from perf, when it finds a correspoinding event
-def skb__kfree_skb(name, context, cpu, sec, nsec, pid, comm,
-                        skbaddr, protocol, location):
-        slocation = str(location)
-        try:
-                drop_log[slocation] = drop_log[slocation] + 1
-        except:
-                drop_log[slocation] = 1