introduce cloud logging (#747)

Signed-off-by: David Korczynski <[email protected]>

run_all_experiments.py

@@ -26,13 +26,22 @@
 from multiprocessing import Pool, Process
 from typing import Any
 
+from google.cloud import logging as cloud_logging
+
 import run_one_experiment
 from data_prep import introspector
 from experiment import benchmark as benchmarklib
 from experiment import evaluator, oss_fuzz_checkout, textcov
 from experiment.workdir import WorkDirs
 from llm_toolkit import models, prompt_builder
 
+try:
+  client = cloud_logging.Client()
+  client.setup_logging()
+except Exception as e:
+  # For local runs we continue
+  pass
+
 logger = logging.getLogger(__name__)
 
 # WARN: Avoid large NUM_EXP for local experiments.