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#! /usr/bin/env python3
# SPDX-FileCopyrightText: Copyright (c) 2022 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: LicenseRef-NvidiaProprietary
#
# NVIDIA CORPORATION, its affiliates and licensors retain all intellectual
# property and proprietary rights in and to this material, related
# documentation and any modifications thereto. Any use, reproduction,
# disclosure or distribution of this material and related documentation
# without an express license agreement from NVIDIA CORPORATION or
# its affiliates is strictly prohibited.
import argparse
import os
import re
import sqlite3
import subprocess
import sys
import tempfile
from pathlib import Path
NSYS_CLI_BINARY_NAME = "nsys.exe" if os.name == "nt" else "nsys"
SELECT_CALLCHAIN_TABLE_EXISTENCE = """
SELECT
count(name)
FROM
sqlite_master
WHERE
type='table' AND name = 'sampling_callchains'
COLLATE NOCASE
"""
SELECT_CALLSTACKS = """
WITH usage(id, cycles) AS
(
SELECT
sc.id,
SUM(cpucycles) AS cycles
FROM
sampling_callchains sc
LEFT JOIN
composite_events se
ON sc.id == se.id
WHERE
sc.stackdepth == 0
GROUP BY
sc.symbol,
sc.module
)
SELECT
GROUP_CONCAT(value, ';') || ' ' || cycles
FROM
(
SELECT
si.value,
sc.id,
u.cycles
FROM
usage u
INNER JOIN
sampling_callchains sc
ON sc.id = u.id
INNER JOIN
stringids AS si
ON sc.symbol == si.id
INNER JOIN
stringids AS sm
ON sc.module == sm.id
WHERE
si.value <> '[Max depth]'
ORDER BY
stackdepth DESC
)
GROUP BY
id
ORDER BY
cycles DESC
"""
REGEX_TYPE_MODIFIER = "(?:(?:(?:unsigned)|(?:signed)|(?:long)) *){0,2}"
REGEX_TYPE_SPECIFIER = "[ \*&]*(?:const)?[ \*&]*"
REGEX_IDENTIFIER = "(?:(?:[^\W\d]|~)(?:[^\W]|[<>\*&\[\]])*)"
REGEX_SPECIAL_IDENTIFIERS = "(?:\(anonymous namespace\))|(?:\{lambda\(\)#?\d*\})|(?:decltype ?\(\))"
REGEX_NON_SPEC_TYPE_IDENTIFIER = "(?:{type_modifier}{identifier})".format(
type_modifier=REGEX_TYPE_MODIFIER, identifier=REGEX_IDENTIFIER
)
REGEX_QUALIFIED_NON_SPEC_TYPE_IDENTIFIER = (
"{non_spec_type_id}{type_specifier}(?:::{non_spec_type_id}{type_specifier})*(?:(?:::)?)?".format(
non_spec_type_id=REGEX_NON_SPEC_TYPE_IDENTIFIER, type_specifier=REGEX_TYPE_SPECIFIER
)
)
OVERLOADED_OPERATORS_LIST = [
"+",
"-",
"*",
"/",
"%",
"^",
"&",
"|",
"~",
"!",
"=",
"<",
">",
"+=",
"-=",
"*=",
"/=",
"%=",
"^=",
"&=",
"|=",
"<<",
">>",
"<<=",
">>=",
"==",
"!=",
"<=",
">=",
"&&",
"||",
"++",
"--",
",",
"->*",
"->",
"()",
"[",
"]",
"new",
"delete",
"new[]",
"delete[]",
]
REGEX_OVERLOADED_OPERATORS_LIST = [re.escape(op) for op in OVERLOADED_OPERATORS_LIST]
REGEX_OPERATOR_OVERLOADS = "(?:" + ")|(?:".join(REGEX_OVERLOADED_OPERATORS_LIST) + ")"
REGEX_OPERATOR_IDENTIFIER = "(?:operator *(?:<>)?(?:{type_id}|(?:{operator_overloads}))?(?:<>)?)".format(
type_id=REGEX_QUALIFIED_NON_SPEC_TYPE_IDENTIFIER, operator_overloads=REGEX_OPERATOR_OVERLOADS
)
REGEX_TYPE_IDENTIFIER = "(?:{type_modifier}{identifier}|{special_ids}|{operator_id})".format(
type_modifier=REGEX_TYPE_MODIFIER,
identifier=REGEX_IDENTIFIER,
special_ids=REGEX_SPECIAL_IDENTIFIERS,
operator_id=REGEX_OPERATOR_IDENTIFIER,
)
REGEX_QUALIFIED_TYPE_IDENTIFIER = "{type_id}{type_specifier}(?:::{type_id}{type_specifier})*(?:(?:::)?)?".format(
type_id=REGEX_TYPE_IDENTIFIER, type_specifier=REGEX_TYPE_SPECIFIER
)
FUNCTION_NAME_DELIMITER = "(?:[ &\*>])"
FUNCTION_ARGUMENTS = "(?:\(\))?"
APPROXIMATE_FUNCTION_STRING = "^((?:(?:{type_specifier}{func_name_delimiter})?{qualified_type_id}(?:{func_name_delimiter}{type_specifier})?{func_name_delimiter}))?({qualified_type_id})(?:{func_arg}{type_specifier})?$".format(
qualified_type_id=REGEX_QUALIFIED_TYPE_IDENTIFIER,
func_name_delimiter=FUNCTION_NAME_DELIMITER,
func_arg=FUNCTION_ARGUMENTS,
type_specifier=REGEX_TYPE_SPECIFIER,
)
APPROXIMATE_FUNCTION_REGEX = re.compile(APPROXIMATE_FUNCTION_STRING, re.U)
def collapse_parentheses(str_, left_p, right_p):
"""Collapse everything between matching left_p and right_p (including collapsing of nested matches)
Args:
str_ (string): String to collapse.
left_p (string): Left delimiter
right_p (string): Right delimiter
Returns:
string: Collapsed string.
"""
shortened_str = ""
inner_value = ""
parentheses_lvl = 0
for c in str_:
if parentheses_lvl == 0 or (parentheses_lvl == 1 and c == right_p):
if c == right_p:
if inner_value == "anonymous namespace":
shortened_str += inner_value
inner_value = ""
shortened_str += c
if c == right_p:
parentheses_lvl -= 1
if parentheses_lvl == 1:
inner_value += c
if c == left_p:
parentheses_lvl += 1
return shortened_str
def shorten_function_name_approximately(full_function_def):
"""Try to shorten function name (in some cases shortening may fail and return the original filename).
Args:
full_function_def (string): Original filename.
Returns:
string: Shortened or full function name.
"""
prepared_function_def = collapse_parentheses(full_function_def, "(", ")")
prepared_function_def = collapse_parentheses(prepared_function_def, "<", ">")
prepared_function_def = collapse_parentheses(prepared_function_def, "[", "]")
prepared_function_def = re.sub(r"[\n\t\s]+", " ", prepared_function_def)
prepared_function_def = re.sub(r"([ \*\&>\}\)\]])const::", r"\1::", prepared_function_def)
prepared_function_def = re.sub(r"\(\) *::", "::", prepared_function_def)
m = re.search(APPROXIMATE_FUNCTION_REGEX, prepared_function_def)
# may be a function address or a complex function name
if not m:
return full_function_def
function_name = ""
if m.group(1) and m.group(1).find("operator") != -1 and m.group(2):
function_name = m.group(1) + " " + m.group(2)
function_name = re.sub(r"[\n\t\s]+", " ", function_name)
elif m.group(2):
function_name = m.group(2)
else:
function_name = full_function_def
return function_name
def shorten_func_names_approximately(flamegraph_row, full_function_names):
"""Try to shorten function names (in some cases shortening may fail and return the original filenames).
Args:
flamegraph_row (string): String suitable for flamegraph with original function names
full_function_names (string): Use full function names with return type, arguments and expanded templates, if available.
Returns:
list[string]: List of shortened or full function names.
"""
if full_function_names:
return flamegraph_row
flamegraph_parts = flamegraph_row.split(" ")
if len(flamegraph_parts) < 2:
return flamegraph_row
cycles_cnt = flamegraph_parts[-1]
full_function_defs = " ".join(flamegraph_parts[:-1]).split(";")
full_function_defs_wo_recursive = []
if len(full_function_defs) > 1:
prev_val = full_function_defs[0]
for val in full_function_defs[1:]:
if val != prev_val:
full_function_defs_wo_recursive.append(val)
else:
full_function_defs_wo_recursive = full_function_defs
flamegraph_row = ";".join(
[
shorten_function_name_approximately(full_function_def)
for full_function_def in full_function_defs_wo_recursive
]
)
flamegraph_row += " {}".format(cycles_cnt)
return flamegraph_row
def check_cpu_samples_exists(conn):
"""Check if CPU callstacks exist in SQLite database
Args:
conn: SQLite database connection
Returns:
bool: True if CPU callstacks exist in SQLite database
"""
c = conn.cursor()
c.execute(SELECT_CALLCHAIN_TABLE_EXISTENCE)
if c.fetchone()[0] == 1:
return True
return False
def convert_to_collapsed(sqlite_db_path, outfile_name, full_function_names):
"""Convert CPU callstacks from a SQLite database file to an output suitable for flamegraph.pl
Args:
sqlite_db_path (string): _description_
outfile_name (string): Path to a results file. If None or empty an output is written to stdout.
full_function_names (bool): Use full function names with return type, arguments and expanded templates, if available.
"""
with sqlite3.connect(sqlite_db_path) as conn:
if not check_cpu_samples_exists(conn):
sys.stderr.write("Report does not contain CPU samples. Folded output will not be generated.\n")
return
c = conn.cursor()
c.execute(SELECT_CALLSTACKS)
if outfile_name:
with open(outfile_name, "w", encoding="utf-8") as outfile:
for row in c:
outfile.write(shorten_func_names_approximately(row[0], full_function_names) + "\n")
else:
for row in c:
print(shorten_func_names_approximately(row[0], full_function_names))
def export_to_sqlite(nsys_target_bin_path, nsys_rep_path, sqlite_db_path):
"""Export Nsight Systems report to a SQLite database file
Args:
nsys_target_bin_path (string): Path to a target Nsight Systems binary.
nsys_rep_path (string): Path to a Nsight Systems report.
sqlite_db_path (string): Path to a SQLite database file.
Raises:
ChildProcessError
"""
popen = subprocess.Popen([nsys_target_bin_path, "export", "--type", "sqlite", "-o", sqlite_db_path, nsys_rep_path])
stdout, stderr = popen.communicate()
exit_code = popen.wait()
if exit_code != 0:
err_str = "Nsight Systems CLI export failed with exit code {}: {}\n{}".format(
exit_code, (stdout or b"").decode("utf-8", "ignore"), (stderr or b"").decode("utf-8", "ignore")
)
print(err_str)
raise ChildProcessError(err_str)
def get_arm_type_target_path_part(arch):
"""Get the folder name part identifying the current supported armv8 arch (SBSA or tegra)
Args:
arch (string): Current architecture
Returns:
string: "-sbsa", "-tegra" or ""
"""
if arch != "armv8":
return ""
tegra_check_popen = subprocess.Popen(
"find /proc/device-tree/ -maxdepth 1 -name 'tegra*' || echo ERROR",
shell=True,
stdout=subprocess.PIPE,
stderr=subprocess.STDOUT,
)
tegra_check_output, _ = tegra_check_popen.communicate()
if (tegra_check_output or b"").decode("utf-8", "ignore").startswith("/"):
return "-tegra"
sbsa_check_popen = subprocess.Popen(
"lsmod | grep 'nvidia' || echo ERROR", shell=True, stdout=subprocess.PIPE, stderr=subprocess.STDOUT
)
sbsa_check_output, _ = sbsa_check_popen.communicate()
if (sbsa_check_output or b"").decode("utf-8", "ignore").startswith("nvidia"):
return "-sbsa"
return ""
def get_target_bin_path(nsys_target_bin_path_arg):
"""Try to retrieve a Nsight Systems CLI path from argument (if it exists) or from the default installation path.
Args:
nsys_target_bin_path_arg (string): User path to the Nsight Systems CLI binary
Raises:
FileNotFoundError: Nsight Systems CLI not found
Returns:
string: Path to the Nsight Systems CLI binary.
"""
if nsys_target_bin_path_arg:
nsys_target_search_path = Path(nsys_target_bin_path_arg) / NSYS_CLI_BINARY_NAME
if nsys_target_search_path.is_file():
return str(nsys_target_search_path)
nsys_host_path = Path(__file__).resolve().parent.parent.parent
nsys_host_folder_name = nsys_host_path.name
nsys_host_folder_name_parts = nsys_host_folder_name.split("-")
nsys_target_path = None
if len(nsys_host_folder_name_parts) == 3:
host_os = nsys_host_folder_name_parts[1]
# assume actual host architecture
host_arch = nsys_host_folder_name_parts[2]
nsys_target_folder_name = "target-" + host_os + get_arm_type_target_path_part(host_arch) + "-" + host_arch
nsys_target_search_path = nsys_host_path.parent / nsys_target_folder_name / NSYS_CLI_BINARY_NAME
if nsys_target_search_path.is_file():
nsys_target_path = str(nsys_target_search_path)
if not nsys_target_path:
raise FileNotFoundError(
"Nsight Systems CLI binary (nsys) not found."
'Use "--nsys" argument to set an Nsight Systems CLI binary path.'
)
return nsys_target_path
def collapse_callstacks(nsys_target_bin_path, nsys_rep_path, outfile_name, full_function_names):
"""Export CPU callstacks from a Nsight Systems report file to a SQLite database and
convert them to an output suitable for flamegraph.pl
Args:
nsys_target_bin_path (string): Path to a Nsight Systems CLI directory.
nsys_rep_path (string): Path to a Nsight Systems report.
outfile_name (string): Path to a results file. If None or empty an output is written to stdout.
full_function_names (bool): Use full function names with return type, arguments and expanded templates, if available.
"""
with tempfile.TemporaryDirectory() as tmp_dir:
sqlite_db_path = os.path.join(tmp_dir, "db.sqlite")
export_to_sqlite(nsys_target_bin_path, nsys_rep_path, sqlite_db_path)
convert_to_collapsed(sqlite_db_path, outfile_name, full_function_names)
if __name__ == "__main__":
parser = argparse.ArgumentParser(
description="Script for parsing Nsight Systems report files containing CPU call stacks and producing an output"
"suitable for flamegraph.pl."
)
parser.add_argument("--nsys", action="store", help="Path to the Nsight Systems CLI directory", required=False)
parser.add_argument(
"-o",
"--out",
action="store",
help="Path to the output file name (by default an output is written to stdout)",
)
parser.add_argument(
"--full_function_names",
default=False,
action="store_true",
help="Use full function names with return type, arguments and expanded "
"templates, if available (default: false).",
)
parser.add_argument("nsys_rep_file", help="Nsight Systems report file path")
args = parser.parse_args()
custom_outfile_name = None
if "out" in args and args.out:
custom_outfile_name = args.out
collapse_callstacks(
get_target_bin_path(args.nsys), args.nsys_rep_file, custom_outfile_name, args.full_function_names
)
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