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[dask] Add seed to demos. #10009

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Jan 25, 2024
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[dask] Add seed to demos. #10009

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43e8453
[dask] Make demo deterministic.
trivialfis Jan 25, 2024
b6f765a
lint.
trivialfis Jan 25, 2024
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5 changes: 3 additions & 2 deletions demo/dask/cpu_training.py
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Original file line number Diff line number Diff line change
Expand Up @@ -14,8 +14,9 @@ def main(client):
# generate some random data for demonstration
m = 100000
n = 100
X = da.random.random(size=(m, n), chunks=100)
y = da.random.random(size=(m,), chunks=100)
rng = da.random.default_rng(1)
X = rng.normal(size=(m, n))
y = X.sum(axis=1)

# DaskDMatrix acts like normal DMatrix, works as a proxy for local
# DMatrix scatter around workers.
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7 changes: 5 additions & 2 deletions demo/dask/gpu_training.py
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Expand Up @@ -2,6 +2,7 @@
Example of training with Dask on GPU
====================================
"""
import cupy as cp
import dask_cudf
from dask import array as da
from dask import dataframe as dd
Expand Down Expand Up @@ -72,10 +73,12 @@ def using_quantile_device_dmatrix(client: Client, X: da.Array, y: da.Array) -> d
with LocalCUDACluster(n_workers=2, threads_per_worker=4) as cluster:
with Client(cluster) as client:
# generate some random data for demonstration
rng = da.random.default_rng(1)

m = 100000
n = 100
X = da.random.random(size=(m, n), chunks=10000)
y = da.random.random(size=(m,), chunks=10000)
X = rng.normal(size=(m, n))
y = X.sum(axis=1)

print("Using DaskQuantileDMatrix")
from_ddqdm = using_quantile_device_dmatrix(client, X, y)
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