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rapidsai / cudf

cuDF - GPU DataFrame Library
https://docs.rapids.ai/api/cudf/stable/
Apache License 2.0
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[BUG] Runtime error when comparing `DatetimeIndex` to `RangeIndex` #8689

Open charlesbluca opened 3 years ago

charlesbluca commented 3 years ago

Describe the bug Attempting to compare a DatetimeIndex and RangeIndex using Index.equals() causes a RuntimeError, seemingly failing on cudf._lib.cpp.binaryop.binary_operation().

Steps/Code to reproduce bug

import pandas as pd
import cudf

df = cudf.from_pandas(pd._testing.makeTimeDataFrame())  # len(df.index) == 30
df.index.equals(cudf.RangeIndex(start=0, stop=30, step=1))

Results in:

RuntimeError                              Traceback (most recent call last)
<ipython-input-12-9f75d59fb3b4> in <module>
----> 1 df.index.equals(cudf.RangeIndex(start=0, stop=30, step=1))

~/compose/etc/conda/cuda_11.2.72/envs/rapids/lib/python3.8/contextlib.py in inner(*args, **kwds)
     73         def inner(*args, **kwds):
     74             with self._recreate_cm():
---> 75                 return func(*args, **kwds)
     76         return inner
     77 

~/cudf/python/cudf/cudf/core/index.py in equals(self, other, **kwargs)
    145 
    146         try:
--> 147             return super().equals(other, check_types=check_types)
    148         except TypeError:
    149             return False

~/cudf/python/cudf/cudf/core/frame.py in equals(self, other, **kwargs)
    594             self._data.values(), other._data.values()
    595         ):
--> 596             if not self_col.equals(other_col, check_dtypes=check_types):
    597                 return False
    598 

~/cudf/python/cudf/cudf/core/column/column.py in equals(self, other, check_dtypes)
    165             if self.dtype != other.dtype:
    166                 return False
--> 167         null_equals = self._null_equals(other)
    168         return null_equals.all()
    169 

~/cudf/python/cudf/cudf/core/column/column.py in _null_equals(self, other)
    169 
    170     def _null_equals(self, other: ColumnBase) -> ColumnBase:
--> 171         return self.binary_operator("NULL_EQUALS", other)
    172 
    173     def all(self) -> bool:

~/cudf/python/cudf/cudf/core/column/datetime.py in binary_operator(self, op, rhs, reflect)
    343         if reflect:
    344             lhs, rhs = rhs, lhs
--> 345         return libcudf.binaryop.binaryop(lhs, rhs, op, out_dtype)
    346 
    347     def fillna(

~/cudf/python/cudf/cudf/_lib/binaryop.pyx in cudf._lib.binaryop.binaryop()
    192     else:
    193         is_string_col = is_string_dtype(lhs.dtype)
--> 194         result = binaryop_v_v(
    195             lhs,
    196             rhs,

~/cudf/python/cudf/cudf/_lib/binaryop.pyx in cudf._lib.binaryop.binaryop_v_v()
    108     with nogil:
    109         c_result = move(
--> 110             cpp_binaryop.binary_operation(
    111                 c_lhs,
    112                 c_rhs,

RuntimeError: Deserialization failed

Subsequent attempts result in the same traceback, but with a different RuntimeError:

RuntimeError: Uninitialized

Expected behavior I would expect a boolean False, stating that the two indices are not equal.

Environment overview (please complete the following information)

Environment details

Click here to see environment details

     **git***
     commit 26f932ddbbecd79d6eade3096c85025088bf75c5 (HEAD -> packed-columns-serialization, origin/packed-columns-serialization)
     Merge: 1ac1b400ab e855eb9ea0
     Author: Charles Blackmon-Luca <20627856+charlesbluca@users.noreply.github.com>
     Date:   Tue Jul 6 13:41:07 2021 -0400

     Merge remote-tracking branch 'upstream/branch-21.08' into packed-columns-serialization
     **git submodules***

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=18.04
     DISTRIB_CODENAME=bionic
     DISTRIB_DESCRIPTION="Ubuntu 18.04.5 LTS"
     NAME="Ubuntu"
     VERSION="18.04.5 LTS (Bionic Beaver)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 18.04.5 LTS"
     VERSION_ID="18.04"
     HOME_URL="https://www.ubuntu.com/"
     SUPPORT_URL="https://help.ubuntu.com/"
     BUG_REPORT_URL="https://bugs.launchpad.net/ubuntu/"
     PRIVACY_POLICY_URL="https://www.ubuntu.com/legal/terms-and-policies/privacy-policy"
     VERSION_CODENAME=bionic
     UBUNTU_CODENAME=bionic
     Linux charlesbluca-HP-Z8-G4-Workstation 5.8.0-50-generic #56~20.04.1-Ubuntu SMP Mon Apr 12 21:46:35 UTC 2021 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Thu Jul  8 09:51:43 2021
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 465.19.01    Driver Version: 465.19.01    CUDA Version: 11.3     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |                               |                      |               MIG M. |
     |===============================+======================+======================|
     |   0  NVIDIA Quadro R...  On   | 00000000:15:00.0 Off |                  Off |
     | 34%   37C    P8    29W / 260W |     10MiB / 48601MiB |      0%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+
     |   1  NVIDIA Quadro R...  On   | 00000000:2D:00.0  On |                  Off |
     | 34%   61C    P0    71W / 260W |    728MiB / 48578MiB |      1%      Default |
     |                               |                      |                  N/A |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                                  |
     |  GPU   GI   CI        PID   Type   Process name                  GPU Memory |
     |        ID   ID                                                   Usage      |
     |=============================================================================|
     +-----------------------------------------------------------------------------+

     ***CPU***
     Architecture:        x86_64
     CPU op-mode(s):      32-bit, 64-bit
     Byte Order:          Little Endian
     CPU(s):              12
     On-line CPU(s) list: 0-11
     Thread(s) per core:  2
     Core(s) per socket:  6
     Socket(s):           1
     NUMA node(s):        1
     Vendor ID:           GenuineIntel
     CPU family:          6
     Model:               85
     Model name:          Intel(R) Xeon(R) Gold 6128 CPU @ 3.40GHz
     Stepping:            4
     CPU MHz:             1399.488
     CPU max MHz:         3700.0000
     CPU min MHz:         1200.0000
     BogoMIPS:            6800.00
     Virtualization:      VT-x
     L1d cache:           32K
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     NUMA node0 CPU(s):   0-11
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     ***CMake***
     /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids/bin/cmake
     cmake version 3.20.5

     CMake suite maintained and supported by Kitware (kitware.com/cmake).

     ***g++***
     /usr/local/bin/g++
     g++ (Ubuntu 9.4.0-1ubuntu1~18.04) 9.4.0
     Copyright (C) 2019 Free Software Foundation, Inc.
     This is free software; see the source for copying conditions.  There is NO
     warranty; not even for MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.

     ***nvcc***
     /usr/local/bin/nvcc
     nvcc: NVIDIA (R) Cuda compiler driver
     Copyright (c) 2005-2021 NVIDIA Corporation
     Built on Sun_Feb_14_21:12:58_PST_2021
     Cuda compilation tools, release 11.2, V11.2.152
     Build cuda_11.2.r11.2/compiler.29618528_0

     ***Python***
     /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids/bin/python
     Python 3.8.10

     ***Environment Variables***
     PATH                            : /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids/bin:/home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/condabin:/home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/cuda/bin
     LD_LIBRARY_PATH                 : /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids/lib:/home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/lib:/usr/lib/x86_64-linux-gnu:/usr/lib/i386-linux-gnu:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64:/usr/local/lib:/home/charlesbluca/dev/rapids/rmm/build/release:/home/charlesbluca/dev/rapids/cudf/cpp/build/release:/home/charlesbluca/dev/rapids/raft/cpp/build/release:/home/charlesbluca/dev/rapids/cuml/cpp/build/release:/home/charlesbluca/dev/rapids/cugraph/cpp/build/release:/home/charlesbluca/dev/rapids/cuspatial/cpp/build/release
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids
     PYTHON_PATH                     :

     ***conda packages***
     /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/condabin/conda
     # packages in environment at /home/charlesbluca/dev/rapids/compose/etc/conda/cuda_11.2.72/envs/rapids:
     #
     # Name                    Version                   Build  Channel
     _libgcc_mutex             0.1                 conda_forge    conda-forge
     _openmp_mutex             4.5                      1_llvm    conda-forge
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     cudatoolkit               11.2.72              h2bc3f7f_0    nvidia
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     py                        1.10.0             pyhd3deb0d_0    conda-forge
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     pyarrow                   4.0.1           py38hb53058b_2_cuda    conda-forge
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     pyorc                     0.4.0                    pypi_0    pypi
     pyparsing                 2.4.7              pyh9f0ad1d_0    conda-forge
     pyrsistent                0.17.3           py38h497a2fe_2    conda-forge
     pysocks                   1.7.1            py38h578d9bd_3    conda-forge
     pytest                    6.2.4            py38h578d9bd_0    conda-forge
     pytest-benchmark          3.4.1              pyhd8ed1ab_0    conda-forge
     pytest-forked             1.3.0              pyhd3deb0d_0    conda-forge
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     python                    3.8.10          h49503c6_1_cpython    conda-forge
     python-dateutil           2.8.1                      py_0    conda-forge
     python_abi                3.8                      2_cp38    conda-forge
     pytorch                   1.7.1           cpu_py38h36eccb8_2    conda-forge
     pytz                      2021.1             pyhd8ed1ab_0    conda-forge
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     re2                       2021.06.01           h9c3ff4c_0    conda-forge
     readline                  8.1                  h46c0cb4_0    conda-forge
     recommonmark              0.7.1              pyhd8ed1ab_0    conda-forge
     regex                     2021.4.4         py38h497a2fe_0    conda-forge
     requests                  2.25.1             pyhd3deb0d_0    conda-forge
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     snappy                    1.1.8                he1b5a44_3    conda-forge
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Additional context I ran into this issue testing the pack/unpack API on test_serialize.py because of a specific index equality check in cudf._lib.copying._CPackedColumns.from_py_table():

https://github.com/rapidsai/cudf/blob/53b3c1696ba7e545e0f67566415259362ace9276/python/cudf/cudf/_lib/copying.pyx#L798-L800

beckernick commented 3 years ago

@charlesbluca is this affecting work related to pack/unpack, or just discovered during testing?

charlesbluca commented 3 years ago

Yes, this bug means that attempts to pack dataframes with a DatetimeIndex will error.

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charlesbluca commented 2 years ago

Bumping with the new traceback I'm getting for this:

RuntimeError                              Traceback (most recent call last)
Input In [1], in <cell line: 5>()
      2 import cudf
      4 df = cudf.from_pandas(pd._testing.makeTimeDataFrame())  # len(df.index) == 30
----> 5 df.index.equals(cudf.RangeIndex(start=0, stop=30, step=1))

File ~/compose/etc/conda/cuda_11.5/envs/rapids/lib/python3.9/contextlib.py:79, in ContextDecorator.__call__.<locals>.inner(*args, **kwds)
     76 @wraps(func)
     77 def inner(*args, **kwds):
     78     with self._recreate_cm():
---> 79         return func(*args, **kwds)

File ~/cudf/python/cudf/cudf/core/index.py:971, in GenericIndex.equals(self, other, **kwargs)
    968     check_dtypes = True
    970 try:
--> 971     return self._column.equals(
    972         other._column, check_dtypes=check_dtypes
    973     )
    974 except TypeError:
    975     return False

File ~/cudf/python/cudf/cudf/core/column/column.py:188, in ColumnBase.equals(self, other, check_dtypes)
    186 if check_dtypes and (self.dtype != other.dtype):
    187     return False
--> 188 ret = self._binaryop(other, "NULL_EQUALS")
    189 if ret is NotImplemented:
    190     raise TypeError(f"Cannot compare equality with {type(other)}")

File ~/cudf/python/cudf/cudf/core/column/datetime.py:448, in DatetimeColumn._binaryop(self, other, op)
    445 if out_dtype is None:
    446     return NotImplemented
--> 448 return libcudf.binaryop.binaryop(lhs, rhs, op, out_dtype)

File ~/cudf/python/cudf/cudf/_lib/binaryop.pyx:197, in cudf._lib.binaryop.binaryop()

File ~/cudf/python/cudf/cudf/_lib/binaryop.pyx:109, in cudf._lib.binaryop.binaryop_v_v()

RuntimeError: cuDF failure at: /datasets/charlesb/dev/rapids/cudf/cpp/src/binaryop/binaryop.cpp:202: Unsupported operator for these types

Looking through the code for DatetimeColumn._binaryop, seems like maybe we would want some handling here to ensure that the columns can be compared properly before passing off to libcudf? I assume adding a condition here

https://github.com/rapidsai/cudf/blob/80e4262d115e1e11607e599ed2539c110fe516bf/python/cudf/cudf/core/column/datetime.py#L413-L417

Should do the trick, though I'm not sure if we're able to compute NULL_EQUALS with columns of a non-datetime dtype.