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use grid stride pairwise distance and fusedL2NN kernels #3891

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use grid stride pairwise distance and fusedL2NN kernels #3891

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1028b16
use mdoijade fork for grid stride pairwise distance and fusedL2NN ker…
mdoijade May 24, 2021
2cde16c
reduce precision in comparison of test_pairwise_distances_sklearn_com…
mdoijade May 26, 2021
3c06b7b
delete Dependencies.cmake to resolve merge conflict
mdoijade May 26, 2021
14e9aa8
Merge branch 'branch-21.06' into useGridStrideKernels
mdoijade May 26, 2021
bc38ec7
test mdoijade raft fork in cuml
mdoijade May 26, 2021
9627354
Merge branch 'branch-21.06' into useGridStrideKernels
mdoijade May 27, 2021
ef1012d
Merge branch 'branch-21.06' into useGridStrideKernels
mdoijade Jun 1, 2021
a27662e
temp reduce compare precision to 7 test_pairwise_distances_sklearn_co…
mdoijade Jun 1, 2021
c171e27
Merge branch 'branch-21.06' into useGridStrideKernels
mdoijade Jun 2, 2021
d8cfc84
revert mdoijade fork of raft usage
mdoijade Jun 2, 2021
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4 changes: 2 additions & 2 deletions cpp/cmake/thirdparty/get_raft.cmake
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Expand Up @@ -44,6 +44,6 @@ set(CUML_BRANCH_VERSION_raft "${CUML_VERSION_MAJOR}.${CUML_VERSION_MINOR}")
# To use a different RAFT locally, set the CMake variable
# CPM_raft_SOURCE=/path/to/local/raft
find_and_configure_raft(VERSION ${CUML_MIN_VERSION_raft}
FORK rapidsai
PINNED_TAG branch-${CUML_BRANCH_VERSION_raft}
FORK mdoijade
PINNED_TAG gridStridedDist
)
4 changes: 2 additions & 2 deletions python/cuml/test/test_metrics.py
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Expand Up @@ -940,7 +940,7 @@ def test_pairwise_distances_sklearn_comparison(metric: str, matrix_size):
Y = rng.random_sample(matrix_size)

# For fp64, compare at 10 decimals, (5 places less than the ~15 max)
compare_precision = 10
compare_precision = 7
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It seems we need this changes asap that rapidsai/raft#232 has been merged, @mdoijade can you update the PR to remove the change in get_raft so we can merge?


# Compare to sklearn, fp64
S = pairwise_distances(X, Y, metric=metric)
Expand All @@ -950,7 +950,7 @@ def test_pairwise_distances_sklearn_comparison(metric: str, matrix_size):
cp.testing.assert_array_almost_equal(S, S2, decimal=compare_precision)

# For fp32, compare at 4 decimals, (3 places less than the ~7 max)
compare_precision = 4
compare_precision = 3

X = np.asfarray(X, dtype=np.float32)
Y = np.asfarray(Y, dtype=np.float32)
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