d5d214ac7f
Signed-off-by: <> Co-authored-by: EC2 Default User <ec2-user@ip-172-31-20-117.us-west-2.compute.internal>
87 lines
2.9 KiB
Python
87 lines
2.9 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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import torch
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from vllm.engine.arg_utils import EngineArgs
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from vllm.sequence import ExecuteModelRequest
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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="s3://vllm-ci-model-weights/distilgpt2",
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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 = 1000
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engine_config.cache_config.num_cpu_blocks = 1000
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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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vllm_config=engine_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.initialize_cache(
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num_gpu_blocks=engine_config.cache_config.num_gpu_blocks,
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num_cpu_blocks=engine_config.cache_config.num_cpu_blocks)
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# Randomly initialize the cache.
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gpu_cache = worker.cache_engine[0].gpu_cache
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cpu_cache = worker.cache_engine[0].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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execute_model_req = ExecuteModelRequest(
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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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)
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worker.execute_model(execute_model_req=execute_model_req)
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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:
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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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execute_model_req.blocks_to_swap_out = []
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execute_model_req.blocks_to_swap_in = [
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(19, 45),
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(67, 23),
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(12, 78),
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(40, 99),
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(1, 71),
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]
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worker.execute_model(execute_model_req=execute_model_req)
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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 execute_model_req.blocks_to_swap_in:
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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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