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Just to confirm, does this test pass? (I don't have a GPU locally)
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Yes here's the results from running this test on a DGX-1 Details$ git log -n1
commit c6bbaf11273b843ef59e56fd7999344439a1b814 (HEAD)
Author: John Kirkham <jakirkham@gmail.com>
Date: Thu Mar 4 11:00:20 2021 -0800
Test `exp` with CuPy arrays
$ python -m pytest -k test_basic dask/array/tests/test_cupy.py
============================= test session starts ==============================
platform linux -- Python 3.8.6, pytest-6.2.2, py-1.10.0, pluggy-0.13.1 -- /datasets/jkirkham/miniconda/envs/rapids17dev/bin/python
cachedir: .pytest_cache
rootdir: /datasets/jkirkham/devel/dask, configfile: setup.cfg
collected 182 items / 123 deselected / 59 selected
dask/array/tests/test_cupy.py::test_basic[<lambda>0] PASSED [ 1%]
dask/array/tests/test_cupy.py::test_basic[<lambda>1] PASSED [ 3%]
dask/array/tests/test_cupy.py::test_basic[<lambda>2] PASSED [ 5%]
dask/array/tests/test_cupy.py::test_basic[<lambda>3] PASSED [ 6%]
dask/array/tests/test_cupy.py::test_basic[<lambda>4] PASSED [ 8%]
dask/array/tests/test_cupy.py::test_basic[<lambda>5] PASSED [ 10%]
dask/array/tests/test_cupy.py::test_basic[<lambda>6] PASSED [ 11%]
dask/array/tests/test_cupy.py::test_basic[<lambda>7] PASSED [ 13%]
dask/array/tests/test_cupy.py::test_basic[<lambda>8] PASSED [ 15%]
dask/array/tests/test_cupy.py::test_basic[<lambda>9] PASSED [ 16%]
dask/array/tests/test_cupy.py::test_basic[<lambda>10] PASSED [ 18%]
dask/array/tests/test_cupy.py::test_basic[<lambda>11] PASSED [ 20%]
dask/array/tests/test_cupy.py::test_basic[<lambda>12] PASSED [ 22%]
dask/array/tests/test_cupy.py::test_basic[<lambda>13] PASSED [ 23%]
dask/array/tests/test_cupy.py::test_basic[<lambda>14] PASSED [ 25%]
dask/array/tests/test_cupy.py::test_basic[<lambda>15] PASSED [ 27%]
dask/array/tests/test_cupy.py::test_basic[<lambda>16] PASSED [ 28%]
dask/array/tests/test_cupy.py::test_basic[<lambda>17] PASSED [ 30%]
dask/array/tests/test_cupy.py::test_basic[<lambda>18] PASSED [ 32%]
dask/array/tests/test_cupy.py::test_basic[<lambda>19] PASSED [ 33%]
dask/array/tests/test_cupy.py::test_basic[<lambda>20] PASSED [ 35%]
dask/array/tests/test_cupy.py::test_basic[<lambda>21] PASSED [ 37%]
dask/array/tests/test_cupy.py::test_basic[<lambda>22] XFAIL (cupy.do...) [ 38%]
dask/array/tests/test_cupy.py::test_basic[<lambda>23] XFAIL (cupy.do...) [ 40%]
dask/array/tests/test_cupy.py::test_basic[<lambda>24] XFAIL (cupy.do...) [ 42%]
dask/array/tests/test_cupy.py::test_basic[<lambda>25] PASSED [ 44%]
dask/array/tests/test_cupy.py::test_basic[<lambda>26] PASSED [ 45%]
dask/array/tests/test_cupy.py::test_basic[<lambda>27] PASSED [ 47%]
dask/array/tests/test_cupy.py::test_basic[<lambda>28] PASSED [ 49%]
dask/array/tests/test_cupy.py::test_basic[<lambda>29] PASSED [ 50%]
dask/array/tests/test_cupy.py::test_basic[<lambda>30] PASSED [ 52%]
dask/array/tests/test_cupy.py::test_basic[<lambda>31] PASSED [ 54%]
dask/array/tests/test_cupy.py::test_basic[<lambda>32] PASSED [ 55%]
dask/array/tests/test_cupy.py::test_basic[<lambda>33] PASSED [ 57%]
dask/array/tests/test_cupy.py::test_basic[<lambda>34] PASSED [ 59%]
dask/array/tests/test_cupy.py::test_basic[<lambda>35] PASSED [ 61%]
dask/array/tests/test_cupy.py::test_basic[<lambda>36] PASSED [ 62%]
dask/array/tests/test_cupy.py::test_basic[<lambda>37] PASSED [ 64%]
dask/array/tests/test_cupy.py::test_basic[<lambda>38] PASSED [ 66%]
dask/array/tests/test_cupy.py::test_basic[<lambda>39] PASSED [ 67%]
dask/array/tests/test_cupy.py::test_basic[<lambda>40] PASSED [ 69%]
dask/array/tests/test_cupy.py::test_basic[<lambda>41] PASSED [ 71%]
dask/array/tests/test_cupy.py::test_basic[<lambda>42] PASSED [ 72%]
dask/array/tests/test_cupy.py::test_basic[<lambda>43] PASSED [ 74%]
dask/array/tests/test_cupy.py::test_basic[<lambda>44] PASSED [ 76%]
dask/array/tests/test_cupy.py::test_basic[<lambda>45] PASSED [ 77%]
dask/array/tests/test_cupy.py::test_basic[<lambda>46] PASSED [ 79%]
dask/array/tests/test_cupy.py::test_basic[<lambda>47] PASSED [ 81%]
dask/array/tests/test_cupy.py::test_basic[<lambda>48] PASSED [ 83%]
dask/array/tests/test_cupy.py::test_basic[<lambda>49] PASSED [ 84%]
dask/array/tests/test_cupy.py::test_basic[<lambda>50] PASSED [ 86%]
dask/array/tests/test_cupy.py::test_basic[<lambda>51] PASSED [ 88%]
dask/array/tests/test_cupy.py::test_basic[<lambda>52] PASSED [ 89%]
dask/array/tests/test_cupy.py::test_basic[<lambda>53] PASSED [ 91%]
dask/array/tests/test_cupy.py::test_basic[<lambda>54] PASSED [ 93%]
dask/array/tests/test_cupy.py::test_basic[<lambda>55] PASSED [ 94%]
dask/array/tests/test_cupy.py::test_basic[<lambda>56] PASSED [ 96%]
dask/array/tests/test_cupy.py::test_basic[<lambda>57] PASSED [ 98%]
dask/array/tests/test_cupy.py::test_basic[<lambda>58] PASSED [100%]
============================= slowest 10 durations =============================
0.25s call dask/array/tests/test_cupy.py::test_basic[<lambda>38]
0.06s call dask/array/tests/test_cupy.py::test_basic[<lambda>19]
0.04s call dask/array/tests/test_cupy.py::test_basic[<lambda>0]
0.03s call dask/array/tests/test_cupy.py::test_basic[<lambda>57]
0.03s call dask/array/tests/test_cupy.py::test_basic[<lambda>53]
0.03s call dask/array/tests/test_cupy.py::test_basic[<lambda>20]
0.02s call dask/array/tests/test_cupy.py::test_basic[<lambda>13]
0.02s call dask/array/tests/test_cupy.py::test_basic[<lambda>54]
0.02s call dask/array/tests/test_cupy.py::test_basic[<lambda>12]
0.02s call dask/array/tests/test_cupy.py::test_basic[<lambda>21]
=========================== short test summary info ============================
XFAIL dask/array/tests/test_cupy.py::test_basic[<lambda>22]
cupy.dot(numpy) fails
XFAIL dask/array/tests/test_cupy.py::test_basic[<lambda>23]
cupy.dot(numpy) fails
XFAIL dask/array/tests/test_cupy.py::test_basic[<lambda>24]
cupy.dot(numpy) fails
================ 56 passed, 123 deselected, 3 xfailed in 2.87s ================= |
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Thanks James! 😄 |
dcherian
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Mar 8, 2021
* upstream/master: (43 commits) bump version to 2021.03.0 Bump minimum version of distributed (dask#7328) Fix `percentiles_summary` with `dask_cudf` (dask#7325) Temporarily revert recent Array.__setitem__ updates (dask#7326) Blockwise.clone (dask#7312) NEP-35 duck array update (dask#7321) Don't allow setting `.name` for array (dask#7222) Use nearest interpolation for creating percentiles of integer input (dask#7305) Test `exp` with CuPy arrays (dask#7322) Check that computed chunks have right size and dtype (dask#7277) pytest.mark.flaky (dask#7319) Contributing docs: add note to pull the latest git tags before pip installing Dask (dask#7308) Support for Python 3.9 (dask#7289) Add broadcast-based merge implementation (dask#7143) Add split_every to graph_manipulation (dask#7282) Typo in optimize docs (dask#7306) dask.graph_manipulation support for xarray.Dataset (dask#7276) Add plot width and height support for Bokeh 2.3.0 (dask#7297) Add numpy functions tri, triu_indices, triu_indices_from, tril_indices, tril_indices_from (dask#6997) Remove "cleanup" task in dataframe on-disk shuffle. The partd directory (dask#7260) ...
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black dask/flake8 daskxref: dask/dask-image#133 (comment)
cc @GenevieveBuckley @pentschev