instrumentation

instrumentation(session_name, filename=None, detailed=False)

Instrumentation session to output information on wall time, CPU time, and intermediate program size of a program during compilation and execution.

Parameters

• session_name (str) – identifier to distinguish multiple sessions or runs within the same result file

• filename (str) – Desired path to write results to in YAML format. If None, the results will instead be printed to the console.

• detailed (bool) – Whether to instrument fine-grained steps in the compiler and runtime. If False, only high-level steps such as “program capture” and “compilation” are reported.

Example

Printing an instrumentation session to the console:

>>> @qjit
... def expensive_function(a, b):
...     return a + b
>>> with debug.instrumentation("session_name", detailed=False):
...     expensive_function(1, 2)
[DIAGNOSTICS] Running capture                   walltime: 3.299 ms      cputime: 3.294 ms       programsize: 0 lines
[DIAGNOSTICS] Running generate_ir               walltime: 4.228 ms      cputime: 4.225 ms       programsize: 14 lines
[DIAGNOSTICS] Running compile                   walltime: 57.182 ms     cputime: 12.109 ms      programsize: 121 lines
[DIAGNOSTICS] Running run                       walltime: 1.075 ms      cputime: 1.072 ms

We can also write an instrumentation session to a YAML file:

>>> with debug.instrumentation("session_name", filename="session.yml", detailed=False):
...     expensive_function(1, 2)
>>> with open('session.yml', 'r') as f:
...     print(f.read())
2024-04-29 18:19:29.349886:
name: session_name
system:
  os: Linux-6.1.58+-x86_64-with-glibc2.35
  arch: x86_64
  python: 3.10.12
results:
  - capture:
      walltime: 6.296216
      cputime: 2.715764
      programsize: 0
  - generate_ir:
      walltime: 8.84289
      cputime: 8.836589
      programsize: 14
  - compile:
      walltime: 199.249725
      cputime: 38.820425
      programsize: 121
  - run:
      walltime: 1.053613
      cputime: 1.019584

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