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/home/whicks/proj_raft/raft/cpp/test/core/mdspan_copy.cpp: In member function 'virtual void raft::MDSpanCopy_Uncopyable_Test::TestBody()': | |
/home/whicks/proj_raft/raft/cpp/test/core/mdspan_copy.cpp:34:13: error: no matching function for call to 'copy(raft::resources&, std::experimental::mdspan<const float, std::experimental::extents<unsigned int, 18446744073709551615>, std::experimental::layout_right, raft::host_device_accessor<std::experimental::default_accessor<const float>, raft::memory_type::host> >, raft::mdarray<float, std::experimental::extents<unsigned int, 18446744073709551615>, std::experimental::layout_right, raft::host_device_accessor<raft::host_vector_policy<float, std::allocator<float> >, raft::memory_type::host> >&)' | |
34 | raft::copy(res, std::as_const(out).view(), in); | |
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
In file included from /home/whicks/proj_raft/raft/cpp/include/raft/core/interruptible.hpp:26, | |
from /home/whicks/proj_raft/raft/cpp/include/raft/core/st |
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/home/whicks/proj_raft/raft/cpp/test/core/mdspan_copy.cpp: In member function 'virtual void raft::MDSpanCopy_Uncopyable_Test::TestBody()': | |
/home/whicks/proj_raft/raft/cpp/test/core/mdspan_copy.cpp:34:13: error: no matching function for call to 'copy(raft::resources&, int&, int&)' | |
34 | raft::copy(res, uncopyable1, uncopyable2); | |
| ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ | |
In file included from /home/whicks/proj_raft/raft/cpp/include/raft/core/interruptible.hpp:26, | |
from /home/whicks/proj_raft/raft/cpp/include/raft/core/stream_view.hpp:20, | |
from /home/whicks/proj_raft/raft/cpp/include/raft/core/resource/stream_view.hpp:19, | |
from /home/whicks/proj_raft/raft/cpp/include/raft/core/detail/copy.hpp:26, | |
from /home/whicks/proj_raft/raft/cpp/include/raft/core/copy.hpp:18, | |
from /home/whicks/proj_raft/raft/cpp/test/core/mdspan_copy.cpp:20: |
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import cupy as cp | |
import os | |
import numpy as np | |
import treelite | |
import treelite_runtime | |
import xgboost as xgb | |
from time import perf_counter | |
from cuml.common.device_selection import using_device_type | |
from cuml.experimental import ForestInference |
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tree | |
version=v3 | |
num_class=1 | |
num_tree_per_iteration=1 | |
label_index=0 | |
max_feature_idx=31 | |
objective=binary sigmoid:1 | |
feature_names=0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | |
feature_infos=[-6.5546088218688965:6.2278804779052734] -1:1:0 [-4.965395450592041:6.5972399711608887] [-4.6478652954101562:6.5585684776306152] [-8.2879343032836914:7.7419576644897461] [-6.8546819686889648:7.0196652412414551] [-8.7973241806030273:5.5609464645385742] [-6.5725240707397461:7.2596492767333984] -1:0:1 [-6.8401269912719727:6.9245181083679199] [-11.817563056945801:12.412569046020508] [-14.371319770812988:12.11441707611084] [-2.6720693111419678:3.1814792156219482] [-3.1954507827758789:3.3344674110412598] [-3.2284896373748779:3.2031958103179932] [-4.0048222541809082:3.3795340061187744] [-3.2715401649475098:2.9391093254089355] [-3.5124735832214355:2.8368351459503174] [-2.8929731845855713:3.4158065319061279] [-3.7133853435516357:3.583622932434082] [-2.697335958480835:3.3189976215362549] [-2.9512 |
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compute-sanitizer pytest python/cuml/test | |
========= COMPUTE-SANITIZER | |
============================= test session starts ============================== | |
platform linux -- Python 3.8.6, pytest-6.2.2, py-1.10.0, pluggy-0.13.1 | |
rapids_pytest_benchmark: 0.0.13 | |
benchmark: 3.2.3 (defaults: timer=time.perf_counter disable_gc=False min_rounds=5 min_time=0.000005 max_time=1.0 calibration_precision=10 warmup=False warmup_iterations=100000) | |
rootdir: /home/whicks/proj_cuml/cuml/python, configfile: pytest.ini | |
plugins: hypothesis-6.1.1, cov-2.11.1, rapids-pytest-benchmark-0.0.13, benchmark-3.2.3, timeout-1.4.2, repeat-0.8.0, forked-1.3.0, asyncio-0.12.0, xdist-2.2.0 | |
collected 27716 items |
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import cupy | |
from cupyx.time import repeat | |
cupy.random.seed(0) | |
for size in (5, 50, 500, 5000, 50000, int(5e6)): | |
a = cupy.random.rand(size) | |
q = cupy.linspace(0, 100, 3) | |
def f(): |
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from time import perf_counter | |
from cuml import using_output_type | |
from cuml.datasets import make_classification | |
from cuml.ensemble import RandomForestClassifier | |
from cuml.metrics import accuracy_score | |
with using_output_type('cupy'): | |
data, labels = make_classification( | |
n_samples=int(1e5), |
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def benchmark_pandas(): | |
import timerit | |
import pandas as pd | |
import numpy as np | |
column_data = { | |
key: np.random.rand(1000) | |
for key in map(chr, range(ord('a'), ord('z'))) | |
} | |
data_frame = pd.DataFrame(column_data) |
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