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23 lines
752 B
Python
23 lines
752 B
Python
import pytest
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import torch
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from test_utils import MODEL_NAME
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from petals.client import DistributedBloomConfig
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from petals.server.throughput import measure_compute_rps, measure_network_rps
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@pytest.mark.forked
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@pytest.mark.parametrize("tensor_parallel", [False, True])
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def test_compute_throughput(tensor_parallel: bool):
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config = DistributedBloomConfig.from_pretrained(MODEL_NAME)
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tensor_parallel_devices = ("cpu", "cpu") if tensor_parallel else ()
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compute_rps = measure_compute_rps(
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config,
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device=torch.device("cpu"),
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dtype=torch.bfloat16,
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load_in_8bit=False,
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tensor_parallel_devices=tensor_parallel_devices,
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n_steps=10,
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)
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assert isinstance(compute_rps, float) and compute_rps > 0
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