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Reduce test_cudf_cluster_device_spill test and speed it up #918

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merged 1 commit into from
May 26, 2022
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Reduce test_cudf_cluster_device_spill test and speed it up #918

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16 changes: 8 additions & 8 deletions dask_cuda/tests/test_spill.py
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Original file line number Diff line number Diff line change
Expand Up @@ -168,16 +168,16 @@ async def test_cupy_cluster_device_spill(params):
"params",
[
{
"device_memory_limit": int(200e6),
"memory_limit": int(4000e6),
"device_memory_limit": int(50e6),
"memory_limit": int(1000e6),
"host_target": False,
"host_spill": False,
"host_pause": False,
"spills_to_disk": False,
},
{
"device_memory_limit": int(200e6),
"memory_limit": int(200e6),
"device_memory_limit": int(50e6),
"memory_limit": int(50e6),
"host_target": False,
"host_spill": False,
"host_pause": False,
Expand All @@ -186,15 +186,15 @@ async def test_cupy_cluster_device_spill(params):
{
# This test setup differs from the one above as Distributed worker
# pausing is enabled and thus triggers `DeviceHostFile.evict()`
"device_memory_limit": int(200e6),
"memory_limit": int(200e6),
"device_memory_limit": int(50e6),
"memory_limit": int(50e6),
"host_target": None,
"host_spill": None,
"host_pause": False,
"spills_to_disk": True,
},
{
"device_memory_limit": int(200e6),
"device_memory_limit": int(50e6),
"memory_limit": None,
"host_target": False,
"host_spill": False,
Expand Down Expand Up @@ -228,7 +228,7 @@ async def test_cudf_cluster_device_spill(params):
# The same error above happens when spilling datetime64 to disk
cdf = (
dask.datasets.timeseries(
dtypes={"x": int, "y": float}, freq="100ms"
dtypes={"x": int, "y": float}, freq="400ms"
)
.reset_index(drop=True)
.map_partitions(cudf.from_pandas)
Expand Down