Update Perfetto and fix tests (#378)

Fix for "SWDEV-479652" - Perfetto-based tests are failing.

Updated version of perfetto submodule to v46.0.
Modified Omnitrace code that uses Perfetto, so it can compile.
Modified the testing code, so it can run the version of trace_processor_shell provided (v46.0).

---------

Signed-off-by: Aleksandar Janicijevic <Aleksandar.Janicijevic@amd.com>
Co-authored-by: David Galiffi <David.Galiffi@amd.com>

[ROCm/rocprofiler-systems commit: 96d7b8f0ab]
このコミットが含まれているのは:
ajanicijamdとDavid Galiffi authored and GitHub committed 2024-09-13 13:43:26 -04:00
1 親 61905d0dbb
コミット 218f8bcbea
15ファイル変更
+173 -70

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+83
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#!@PYTHON_EXECUTABLE@
import os
import sys
import time
import omnitrace
from omnitrace.user import region as omni_user_region
_prefix = ""
def fib(n):
return n if n < 2 else (fib(n - 1) + fib(n - 2))
try:
import numpy as np
def inefficient(n):
print(f"[{_prefix}] ... running inefficient({n}) (1)")
a = 0
for i in range(n):
a += i
for j in range(n):
a += j
_len = a * n * n
_ret = np.random.rand(_len).sum()
print(f"[{_prefix}] ... sum of {_len} random elements: {_ret}")
return _ret
except ImportError as e:
print(f"ImportError: {e}")
import random
def _sum(arr):
print(f"---- in _sum")
return sum(arr)
def inefficient(n):
print(f"[{_prefix}] ... running inefficient({n})")
a = 0
for i in range(n):
a += i
for j in range(n):
a += j
_len = a * n * n
_arr = [random.random() for _ in range(_len)]
_ret = _sum(_arr)
print(f"[{_prefix}] ... sum of {_len} random elements: {_ret}")
return _ret
@omnitrace.profile()
def run(n):
_ret = 0
_ret += fib(n)
_ret += inefficient(n)
return _ret
if __name__ == "__main__":
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("-n", "--num-iterations", help="Number", type=int, default=3)
parser.add_argument("-v", "--value", help="Starting value", type=int, default=20)
parser.add_argument(
"-s",
"--stop-profile",
help="Stop tracing after given iterations",
type=int,
default=0,
)
args = parser.parse_args()
_prefix = os.path.basename(__file__)
print(f"[{_prefix}] Executing {args.num_iterations} iterations...\n")
for i in range(args.num_iterations):
with omni_user_region(f"main_loop"):
if args.stop_profile > 0 and i == args.stop_profile:
omnitrace.user.stop_trace()
ans = run(args.value)
print(f"[{_prefix}] [{i}] result of run({args.value}) = {ans}\n")