77 lines
2.9 KiB
Python
77 lines
2.9 KiB
Python
import torch
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from vllm.engine.arg_utils import EngineArgs
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from vllm.utils import get_distributed_init_method, get_ip, get_open_port
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from vllm.worker.worker import Worker
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def test_swap() -> None:
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# Configure the engine.
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engine_args = EngineArgs(model="facebook/opt-125m",
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dtype="half",
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load_format="dummy")
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engine_config = engine_args.create_engine_config()
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engine_config.cache_config.num_gpu_blocks = 100
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engine_config.cache_config.num_cpu_blocks = 100
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# Create the worker.
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distributed_init_method = get_distributed_init_method(
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get_ip(), get_open_port())
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worker = Worker(
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model_config=engine_config.model_config,
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parallel_config=engine_config.parallel_config,
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scheduler_config=engine_config.scheduler_config,
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device_config=engine_config.device_config,
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local_rank=0,
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rank=0,
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distributed_init_method=distributed_init_method,
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is_driver_worker=True,
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)
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# Initialize the worker.
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worker.init_device()
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worker.load_model()
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worker.init_cache_engine(engine_config.cache_config)
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worker.warm_up_model()
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# Randomly initialize the cache.
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gpu_cache = worker.cache_engine.gpu_cache
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cpu_cache = worker.cache_engine.cpu_cache
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num_layers = len(gpu_cache)
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for i in range(num_layers):
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gpu_key_cache, gpu_value_cache = gpu_cache[i]
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gpu_key_cache.random_()
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gpu_value_cache.random_()
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cpu_key_cache, cpu_value_cache = cpu_cache[i]
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cpu_key_cache.random_()
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cpu_value_cache.random_()
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allclose = lambda a, b: torch.allclose(
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a.cuda(), b.cuda(), rtol=0.0, atol=0.0)
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# Test swap out.
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blocks_to_swap_out = {3: 72, 56: 35, 84: 34}
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worker.execute_model(seq_group_metadata_list=[],
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blocks_to_swap_in={},
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blocks_to_swap_out=blocks_to_swap_out,
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blocks_to_copy={})
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for i in range(num_layers):
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gpu_key_cache, gpu_value_cache = gpu_cache[i]
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cpu_key_cache, cpu_value_cache = cpu_cache[i]
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for src, dst in blocks_to_swap_out.items():
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assert allclose(gpu_key_cache[src], cpu_key_cache[dst])
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assert allclose(gpu_value_cache[src], cpu_value_cache[dst])
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# Test swap in.
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blocks_to_swap_in = {19: 45, 67: 23, 12: 78, 40: 99, 1: 71}
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worker.execute_model(seq_group_metadata_list=[],
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blocks_to_swap_in=blocks_to_swap_in,
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blocks_to_swap_out={},
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blocks_to_copy={})
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for i in range(num_layers):
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gpu_key_cache, gpu_value_cache = gpu_cache[i]
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cpu_key_cache, cpu_value_cache = cpu_cache[i]
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for src, dst in blocks_to_swap_in.items():
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assert allclose(gpu_key_cache[dst], cpu_key_cache[src])
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assert allclose(gpu_value_cache[dst], cpu_value_cache[src])
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