Getting all cuml tests to pass with cudf.pandas enabled

This issue is the result of running the cuml tests with pytest -p cudf.pandas --ignore=dask -m "not memleak". The goal is to find out how well cuml works with cudf.pandas activated. As far as I can tell this actually means at least two things: (1) cudf's "pandas compatibility mode" is activated and (2) the cudf.pandas accelerator is doing its magic. We could look at (1) separately, for example users of cuml might turn on this option even without using the pandas accelerator.

The goal of this issue is to have a central list of all failing tests so we can coordinate working on getting them fixed. I think it would make sense to open one PR per test file or even one PR for a set of tests in one file. That way the diff stays manageable for the reviewer and we don't have too many PRs. Post in this issue if you are working on one of these so we can avoid duplicate effort.

The failures in test_one_hot_encoder.py might be a bit harder to solve than the other ones, so I singled them out.

I used 6d3bb0d43e4499210512b6941d1c08f7611ea960 and a conda environment setup today.

The tests in test_one_hot_encoder.py cause trouble with cudf.pandas activated. Several of them lead to MemoryError or CUDARuntimeErrors. Example output below.

Full list of failed tests in `test_one_hot_encoder.py`

``` ==================================================================================== short test summary info ==================================================================================== FAILED test_one_hot_encoder.py::test_onehot_inverse_transform[cupy-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_inverse_transform[cupy-drop2] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_inverse_transform[cudf-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_inverse_transform[cudf-drop2] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-10-sparse-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-10-dense-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-1000-sparse-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-1000-dense-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-20000-sparse-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cupy-20000-dense-first] - AttributeError: 'ndarray' object has no attribute 'values_host' FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-10-sparse-None] - RuntimeError: CUDA error at: /opt/conda/conda-bld/work/cpp/build/_deps/cuco-src/include/cuco/detail/static_map.inl111: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-10-sparse-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-10-dense-None] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-10-dense-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-1000-sparse-None] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-1000-sparse-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-1000-dense-None] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-1000-dense-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-20000-sparse-None] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-20000-sparse-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-20000-dense-None] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_random_inputs[cudf-20000-dense-first] - MemoryError: std::bad_alloc: CUDA error at: /opt/conda/conda-bld/work/include/rmm/mr/device/cuda_memory_resource.hpp:60: cudaErrorIllegalAddress an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_drop_idx_first[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_idx_first[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_one_of_each[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_one_of_each[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cupy-drop0-`drop` should have as many columns] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cupy-drop1-Trying to drop multiple values] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cupy-drop2-Some categories [0-9a-zA-Z, ]* were not found] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cupy-drop3-Wrong input for parameter `drop`.] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cudf-drop0-`drop` should have as many columns] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cudf-drop1-Trying to drop multiple values] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cudf-drop2-Some categories [0-9a-zA-Z, ]* were not found] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_drop_exceptions[cudf-drop3-Wrong input for parameter `drop`.] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_get_categories[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_get_categories[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_sparse_drop[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_sparse_drop[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_categories_shape_mismatch[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_categories_shape_mismatch[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_category_specific_cases - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_category_class_count[uint8] - cupy_backends.cuda.api.runtime.CUDARuntimeError: cudaErrorIllegalAddress: an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_category_class_count[uint16] - cupy_backends.cuda.api.runtime.CUDARuntimeError: cudaErrorIllegalAddress: an illegal memory access was encountered FAILED test_one_hot_encoder.py::test_onehot_get_feature_names[cupy] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp FAILED test_one_hot_encoder.py::test_onehot_get_feature_names[cudf] - MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp ```

example test with `CUDARuntimeError`

``` ____________________________________________________________________________ test_onehot_category_class_count[uint8] ____________________________________________________________________________ total_classes = 255 @pytest.mark.parametrize( "total_classes", [np.iinfo(np.uint8).max, np.iinfo(np.uint16).max], ids=["uint8", "uint16"], ) def test_onehot_category_class_count(total_classes: int): # See this for reasoning: https://github.com/rapidsai/cuml/issues/2690 # All tests use sparse=True to avoid memory errors encoder = OneHotEncoder(handle_unknown="ignore", sparse=True) # ==== 2 Rows ==== example_df = DataFrame() > example_df["high_cardinality_column"] = cp.linspace( 0, total_classes - 1, total_classes ) test_one_hot_encoder.py:328: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cupy/_creation/ranges.py:161: in linspace return _linspace_scalar(start, stop, num, endpoint, retstep, dtype) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cupy/_creation/ranges.py:91: in _linspace_scalar ret = cupy.empty((num,), dtype=dt) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cupy/_creation/basic.py:31: in empty return cupy.ndarray(shape, dtype, order=order) cupy/_core/core.pyx:132: in cupy._core.core.ndarray.__new__ ??? cupy/_core/core.pyx:220: in cupy._core.core._ndarray_base._init ??? cupy/cuda/memory.pyx:738: in cupy.cuda.memory.alloc ??? cupy/cuda/memory.pyx:633: in cupy.cuda.memory._malloc ??? cupy/cuda/memory.pyx:634: in cupy.cuda.memory._malloc ??? cupy/cuda/memory.pyx:101: in cupy.cuda.memory.Memory.__init__ ??? cupy_backends/cuda/api/runtime.pyx:498: in cupy_backends.cuda.api.runtime.malloc ??? _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E cupy_backends.cuda.api.runtime.CUDARuntimeError: cudaErrorIllegalAddress: an illegal memory access was encountered cupy_backends/cuda/api/runtime.pyx:146: CUDARuntimeError ```

example test with `MemoryError`

``` ____________________________________________________________ test_onehot_drop_exceptions[cudf-drop1-Trying to drop multiple values] _____________________________________________________________ drop = {'chars': 'b', 'int': [2, 0]}, pattern = 'Trying to drop multiple values', as_array = False @pytest.mark.parametrize( "drop, pattern", [ [dict({"chars": "b"}), "`drop` should have as many columns"], [ dict({"chars": "b", "int": [2, 0]}), "Trying to drop multiple values", ], [ dict({"chars": "b", "int": 3}), "Some categories [0-9a-zA-Z, ]* were not found", ], [ DataFrame({"chars": "b", "int": 3}), "Wrong input for parameter `drop`.", ], ], ) @pytest.mark.parametrize("as_array", [True, False], ids=["cupy", "cudf"]) def test_onehot_drop_exceptions(drop, pattern, as_array): > X = DataFrame({"chars": ["c", "b", "d"], "int": [2, 1, 0]}) test_one_hot_encoder.py:237: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/nvtx/nvtx.py:116: in inner result = func(*args, **kwargs) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/dataframe.py:848: in __init__ self._init_from_dict_like( /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/nvtx/nvtx.py:116: in inner result = func(*args, **kwargs) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/dataframe.py:1066: in _init_from_dict_like keys, values, lengths = zip( /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/dataframe.py:1072: in vc := as_column(v, nan_as_null=nan_as_null), /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/column/column.py:2181: in as_column return as_column(arbitrary, nan_as_null=nan_as_null, dtype=dtype) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/column/column.py:1819: in as_column col = ColumnBase.from_arrow(arbitrary) /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/site-packages/cudf/core/column/column.py:378: in from_arrow result = libcudf.interop.from_arrow(data)[0] /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/contextlib.py:81: in inner return func(*args, **kwds) interop.pyx:162: in cudf._lib.interop.from_arrow ??? /nvme/1/thead/miniconda/envs/cuml-dev-24.06/lib/python3.11/functools.py:909: in wrapper return dispatch(args[0].__class__)(*args, **kw) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ > ??? E MemoryError: std::bad_alloc: CUDA error at: /nvme/1/thead/miniconda/envs/cuml-dev-24.06/include/rmm/mr/device/cuda_memory_resource.hpp interop.pyx:85: MemoryError ```

For the rest of the tests the results look like this:

[ ] test_compose.py::test_column_transformer_index
[ ] test_doctest.py::test_docstring
[ ] test_holtwinters.py::test_singlets_holtwinters
[ ] test_input_utils.py::test_convert_matrix_order_cuml_array https://github.com/rapidsai/cuml/pull/5882
[ ] test_input_utils.py::test_convert_input_dtype https://github.com/rapidsai/cuml/pull/5885
[ ] test_label_encoder.py::test_inverse_transform
[ ] test_label_encoder.py::test_empty_input
[ ] test_label_encoder.py::test_inverse_transform_cupy_numpy
[ ] test_metrics.py::test_sklearn_search
[ ] test_module_config.py::test_default_global_output_type
[ ] test_ordinal_encoder.py::test_ordinal_encoder_df
[ ] test_ordinal_encoder.py::test_ordinal_encoder_array
[ ] test_ordinal_encoder.py::test_output_type
[ ] test_target_encoder.py::test_targetencoder_random
[ ] test_target_encoder.py::test_targetencoder_median
[ ] test_tsne.py::test_tsne_knn_graph_used
[ ] test_tsne.py::test_tsne
[ ] explainer/test_sampling.py::test_kmeans_input

==================================================================================== short test summary info ====================================================================================
FAILED test_compose.py::test_column_transformer_index[dataframe] - ValueError: Unsupported dtype object
FAILED test_compose.py::test_column_transformer_index[cudf] - ValueError: Unsupported dtype object
FAILED test_doctest.py::test_docstring[LabelEncoder] - AssertionError: 2 of 18 doctests failed for LabelEncoder:
FAILED test_holtwinters.py::test_singlets_holtwinters[float64-12-additive] - TypeError: ExponentialSmoothing.__init__() missing 1 required positional argument: 'endog'
FAILED test_holtwinters.py::test_singlets_holtwinters[float64-24-additive] - TypeError: ExponentialSmoothing.__init__() missing 1 required positional argument: 'endog'
FAILED test_holtwinters.py::test_multits_holtwinters[float64-12-additive] - TypeError: ExponentialSmoothing.__init__() missing 1 required positional argument: 'endog'
FAILED test_holtwinters.py::test_multits_holtwinters[float64-24-additive] - TypeError: ExponentialSmoothing.__init__() missing 1 required positional argument: 'endog'
FAILED test_input_utils.py::test_convert_matrix_order_cuml_array[K-C-pandas-float32] - AssertionError: assert 'F' == 'C'
FAILED test_input_utils.py::test_convert_matrix_order_cuml_array[K-C-pandas-float64] - AssertionError: assert 'F' == 'C'
FAILED test_input_utils.py::test_convert_matrix_order_cuml_array[K-F-pandas-float32] - AssertionError: assert 'F' == 'C'
FAILED test_input_utils.py::test_convert_matrix_order_cuml_array[K-F-pandas-float64] - AssertionError: assert 'F' == 'C'
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float32-float32-1-1] - assert 139772184412160 == 139770577912832
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float32-float32-1-100] - assert 139773354852864 == 139770566459904
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float32-float32-100-1] - assert 139768901078528 == 139768901079040
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float32-float32-100-100] - assert 139754975141888 == 139754753326592
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float64-float64-1-1] - assert 139754975238656 == 139754975239168
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float64-float64-1-100] - assert 139769023965184 == 139769023966208
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float64-float64-100-1] - assert 139768900565504 == 139768900566528
FAILED test_input_utils.py::test_convert_input_dtype[C-pandas-float64-float64-100-100] - assert 139768900010496 == 139769023652864
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float32-float32-1-1] - assert 139772184417280 == 139770566459904
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float32-float32-1-100] - assert 139773355484672 == 139772184384512
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float32-float32-100-1] - assert 139768901078528 == 139768901079040
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float32-float32-100-100] - assert 139754975141888 == 139754753326592
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float64-float64-1-1] - assert 139754751172608 == 139754751173120
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float64-float64-1-100] - assert 139754752503808 == 139754752504832
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float64-float64-100-1] - assert 139768900628992 == 139768900630016
FAILED test_input_utils.py::test_convert_input_dtype[F-pandas-float64-float64-100-100] - assert 139754752647680 == 139754751660544
FAILED test_label_encoder.py::test_inverse_transform[orig_label0-ord_label0-expected_reverted0-bad_ord_label0-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label0-ord_label0-expected_reverted0-bad_ord_label0-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label1-ord_label1-expected_reverted1-bad_ord_label1-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label1-ord_label1-expected_reverted1-bad_ord_label1-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label2-ord_label2-expected_reverted2-bad_ord_label2-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label2-ord_label2-expected_reverted2-bad_ord_label2-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label3-ord_label3-expected_reverted3-bad_ord_label3-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform[orig_label3-ord_label3-expected_reverted3-bad_ord_label3-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_empty_input[empty0-ord_label0] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform_cupy_numpy[orig_label0-ord_label0-expected_reverted0-bad_ord_label0-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform_cupy_numpy[orig_label0-ord_label0-expected_reverted0-bad_ord_label0-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform_cupy_numpy[orig_label1-ord_label1-expected_reverted1-bad_ord_label1-False] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_label_encoder.py::test_inverse_transform_cupy_numpy[orig_label1-ord_label1-expected_reverted1-bad_ord_label1-True] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_metrics.py::test_sklearn_search - AssertionError: assert {'alpha': 0.09999999999999999} == {'alpha': 0.1}
FAILED test_module_config.py::test_default_global_output_type[pandas] - AssertionError: assert False
FAILED test_ordinal_encoder.py::test_ordinal_encoder_df - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_ordinal_encoder.py::test_ordinal_encoder_array - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_ordinal_encoder.py::test_output_type - AssertionError: assert False
FAILED test_target_encoder.py::test_targetencoder_random[median-int32-5000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-int32-500000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-int64-5000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-int64-500000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-float32-5000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-float32-500000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-float64-5000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_random[median-float64-500000] - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_target_encoder.py::test_targetencoder_median - AttributeError: 'ndarray' object has no attribute 'values_host'
FAILED test_tsne.py::test_tsne_knn_graph_used[deprecated_boston_dataset-fft-cuml] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED test_tsne.py::test_tsne_knn_graph_used[deprecated_boston_dataset-fft-sklearn] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED test_tsne.py::test_tsne_knn_graph_used[deprecated_boston_dataset-barnes_hut-cuml] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED test_tsne.py::test_tsne_knn_graph_used[deprecated_boston_dataset-barnes_hut-sklearn] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED test_tsne.py::test_tsne[deprecated_boston_dataset-fft] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED test_tsne.py::test_tsne[deprecated_boston_dataset-barnes_hut] - TypeError: Implicit conversion to a NumPy array is not allowed. Please use `.get()` to construct a NumPy array explicitly.
FAILED explainer/test_sampling.py::test_kmeans_input[pandas-series] - AssertionError: assert False

rapidsai / cuml

Getting all cuml tests to pass with cudf.pandas enabled #5876