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Remove GPU executor #8399

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merged 1 commit into from
Dec 14, 2023
Merged

Remove GPU executor #8399

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13 changes: 0 additions & 13 deletions distributed/tests/test_worker.py
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Original file line number Diff line number Diff line change
Expand Up @@ -30,7 +30,6 @@
from dask.system import CPU_COUNT
from dask.utils import tmpfile

import distributed
from distributed import (
Client,
Event,
Expand All @@ -46,7 +45,6 @@
from distributed.comm.utils import OFFLOAD_THRESHOLD
from distributed.compatibility import LINUX, WINDOWS
from distributed.core import CommClosedError, Status, rpc
from distributed.diagnostics import nvml
from distributed.diagnostics.plugin import ForwardOutput
from distributed.metrics import time
from distributed.protocol import pickle
Expand Down Expand Up @@ -2267,17 +2265,6 @@ async def test_process_executor_raise_exception(c, s, a, b):
await future


@pytest.mark.gpu
@gen_cluster(client=True, nthreads=[("127.0.0.1", 1)])
async def test_gpu_executor(c, s, w):
if nvml.device_get_count() > 0:
e = w.executors["gpu"]
assert isinstance(e, distributed.threadpoolexecutor.ThreadPoolExecutor)
assert e._max_workers == 1
else:
assert "gpu" not in w.executors


async def assert_task_states_on_worker(
expected: dict[str, str], worker: Worker
) -> None:
Expand Down
4 changes: 0 additions & 4 deletions distributed/worker.py
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Expand Up @@ -636,10 +636,6 @@ def __init__(
"offload": utils._offload_executor,
"actor": ThreadPoolExecutor(1, thread_name_prefix="Dask-Actor-Threads"),
}
if nvml.device_get_count() > 0:
self.executors["gpu"] = ThreadPoolExecutor(
1, thread_name_prefix="Dask-GPU-Threads"
)

# Find the default executor
if executor == "offload":
Expand Down
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