import os
import pytest
from pathlib import Path
from collections import defaultdict
from akg_agents.core.async_pool.task_pool import TaskPool
from akg_agents.op.langgraph_op.task import LangGraphTask as AIKGTask
from akg_agents.core.worker.manager import register_local_worker
from ..utils import (
get_kernelbench_op_name, get_multikernelbench_op_name,
get_kernelbench_task_desc, get_multikernelbench_task_desc, add_op_prefix,
generate_beautiful_test_report, get_device_id
)
from akg_agents.op.config.config_validator import load_config
from akg_agents.utils.environment_check import check_env_for_task
os.environ['AKG_AGENTS_STREAM_OUTPUT'] = 'on'
device_id = get_device_id()
@pytest.mark.level2
@pytest.mark.torch
@pytest.mark.ascendc
@pytest.mark.ascend
@pytest.mark.ascend910b4
@pytest.mark.use_model
@pytest.mark.asyncio
async def test_kernelbench_torch_ascend910b4():
"""测试 KernelBench - PyTorch Ascend C"""
framework = "torch"
dsl = "ascendc"
backend = "ascend"
arch = "ascend910b4"
benchmark = "KernelBench"
task_pool = TaskPool()
config = load_config(config_path="./python/akg_agents/op/config/ascendc_coderonly_config.yaml")
check_env_for_task(framework, backend, dsl, config)
await register_local_worker([device_id], backend=backend, arch=arch)
benchmark_name = get_kernelbench_op_name(
task_index_list=[19, ], framework=framework)
if benchmark_name is None:
raise RuntimeError("在 KernelBench 中未找到指定序号的任务文件,请检查 task_index_list 参数是否正确")
for i in range(len(benchmark_name)):
task_desc = get_kernelbench_task_desc(
benchmark_name[i], framework=framework)
op_name = add_op_prefix(benchmark_name[i], benchmark=benchmark)
task = AIKGTask(
op_name=op_name,
task_desc=task_desc,
task_id=str(i),
backend=backend,
arch=arch,
dsl=dsl,
config=config,
framework=framework,
workflow="coder_only_workflow"
)
task_pool.create_task(task.run)
results = await task_pool.wait_all()
report_stats = generate_beautiful_test_report(
results, config, framework, dsl, backend, arch
)