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[Eval] initialize llm inside process_instance to circumvent "AttributeError:… #2805

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merged 2 commits into from
Jul 5, 2024
Merged

[Eval] initialize llm inside process_instance to circumvent "AttributeError:… #2805

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e4315c6
initialize llm inside process_instance to circumvent "AttributeError:…
xingyaoww Jul 5, 2024
7014606
update kwargs
xingyaoww Jul 5, 2024
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12 changes: 7 additions & 5 deletions evaluation/swe_bench/run_infer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -193,13 +193,17 @@ def get_test_result(instance, sandbox, workspace_dir_name):


def process_instance(
agent: Agent,
agent_class: str,
llm_config: dict,
instance: Any,
metadata: dict,
skip_workspace_mount: bool,
eval_output_dir: str,
reset_logger: bool = True,
):
# Create the agent
agent = Agent.get_cls(agent_class)(llm=LLM(llm_config))

workspace_mount_path = os.path.join(config.workspace_mount_path, '_eval_workspace')
# create process-specific workspace dir
# if `not skip_workspace_mount` - we will create a workspace directory for EACH process
Expand Down Expand Up @@ -496,17 +500,15 @@ def update_progress(future):
skip_workspace_mount = agent_class == 'CodeActAgent'
logger.info(f'Skipping workspace mount: {skip_workspace_mount}')

# Create the agent
agent = Agent.get_cls(agent_class)(llm=LLM(config.llm))

try:
with ProcessPoolExecutor(num_workers) as executor:
futures = []
# This is how we perform multi-processing
for row_idx, instance in swe_bench_tests.iterrows():
future = executor.submit(
process_instance,
agent,
agent_class,
config.llm,
instance,
metadata,
skip_workspace_mount,
Expand Down