efa5da659c
* adding perfetto-validation-script
* Rename validation script
* Update tests/validate_perfetto.py
Co-authored-by: Jonathan R. Madsen <jrmadsen@users.noreply.github.com>
* Update tests/validate_perfetto.py
Co-authored-by: Jonathan R. Madsen <jrmadsen@users.noreply.github.com>
* Update tests/validate_perfetto.py
Co-authored-by: Jonathan R. Madsen <jrmadsen@users.noreply.github.com>
* Update tests/validate_perfetto.py
Co-authored-by: Jonathan R. Madsen <jrmadsen@users.noreply.github.com>
* addressed the edits in the validation script
* addressed the edits in the validation script
* Perfetto validation script (#1)
* Fixed mismatch message in validate-timemory-json
* validate_perfetto.py -> validate-perfetto-proto.py
* Add python-source-validate-perfetto
- python-source-validate-perfetto uses validate-python-proto.py to validate perfetto output
- renamed python-source-check test to python-source-validate timemory
* Moved python-source-validate tests outside of cat command if block
- these tests don't rely on OMNITRACE_CAT_COMMAND
* CMake/CTest OMNITRACE_ADD_PYTHON_VALIDATION_TEST function
- generalized function for performing validation test with validate-{timemory-json,perfetto-proto}.py scripts
* Print perfetto validation
* Install perfetto python package in workflows
* cmake format
* Python formatting
* Python formatting CI
* Install perfetto python package in workflows
* Install dataclasses for perfetto in opensuse
* Install dataclasses for perfetto in ubuntu
- uninstalled dependency for perfetto in Python 3.6
Co-authored-by: Jonathan R. Madsen <jrmadsen@users.noreply.github.com>
Co-authored-by: Jonathan R. Madsen <jonathanrmadsen@gmail.com>
[ROCm/rocprofiler-systems commit: cfa16cbe2f]
48 строки
1.1 KiB
Python
Исполняемый файл
48 строки
1.1 KiB
Python
Исполняемый файл
#!@PYTHON_EXECUTABLE@
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import os
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import sys
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import random
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_prefix = ""
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def fib(n):
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return n if n < 2 else (fib(n - 1) + fib(n - 2))
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def inefficient(n):
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print(f"[{_prefix}] ... running inefficient({n})")
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a = 0
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for i in range(n):
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a += i
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for j in range(n):
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a += j
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_len = a * n * n * n
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_arr = [random.random() for _ in range(_len)]
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_sum = sum(_arr)
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print(f"[{_prefix}] ... sum of {_len} random elements: {_sum}")
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return _sum
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def run(n):
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_ret = 0
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_ret += fib(n)
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_ret += inefficient(n)
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return _ret
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if __name__ == "__main__":
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import argparse
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parser = argparse.ArgumentParser()
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parser.add_argument("-n", "--num-iterations", help="Number", type=int, default=3)
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parser.add_argument("-v", "--value", help="Starting value", type=int, default=20)
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args = parser.parse_args()
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_prefix = os.path.basename(__file__)
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print(f"[{_prefix}] Executing {args.num_iterations} iterations...\n")
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for i in range(args.num_iterations):
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ans = run(args.value)
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print(f"[{_prefix}] [{i}] result of run({args.value}) = {ans}\n")
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