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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] float min, max values are truncated, causing to read again as -inf, +inf #6235

Open karthikeyann opened 3 years ago

karthikeyann commented 3 years ago

Describe the bug floating point min=-1.7976931348623157e+308 and max=1.7976931348623157e+308 is written as -1.797693135e+308 1.797693135e+308 and so, it is read as -inf and +inf respectively.

Steps/Code to reproduce bug

import cudf
import pandas as pd
import numpy as np
pdf = pd.DataFrame({'f': [np.finfo(float).min, np.finfo(float).max]})
gdf = cudf.from_pandas(pdf)
pdf.to_csv('pdf.csv', index=False, header=False)
gdf.to_csv('gdf.csv', index=False, header=False)    # truncates values, so causes error.
g1 = cudf.read_csv('pdf.csv', index_col=None, header=None) # Works right
g2 = cudf.read_csv('gdf.csv', index_col=None, header=None) # Wrong (-inf, +inf)
p1 = pd.read_csv('pdf.csv', index_col=None, header=None) # Read as string (but dtype=[np.float] fails), p1.astype works,
p2 = pd.read_csv('gdf.csv', index_col=None, header=None) # Read as string, p2.astype(np.float) is Wrong (-inf, +inf)

np.equal(pdf.values, gdf.values.get())  # True
np.equal(pdf.values, g1.values.get())   # True
np.equal(pdf.values, g2.values.get())   # False (wrong)
np.equal(pdf.values, p1.astype(np.float).values)    # True
np.equal(pdf.values, p2.astype(np.float).values)    # False (wrong)

Pandas parsing also doesn't work. But pandas.astype(np.float) works. cudf parsing and astype(np.float) both doesn't work because writing truncates and rounds up last number)

Expected behavior cudf.to_csv should write all fractional values of float. It should not truncate. Content of gdf.csv should be same as pdf.csv In the above snippet, following is expected behaviour

np.equal(pdf.values, gdf.values.get())  # True
np.equal(pdf.values, g1.values.get())   # True
np.equal(pdf.values, g2.values.get())   # True
np.equal(pdf.values, p1.astype(np.float).values)    # True
np.equal(pdf.values, p2.astype(np.float).values)    # True

Environment overview (please complete the following information)

Environment details Please run and paste the output of the cudf/print_env.sh script here, to gather any other relevant environment details

Click here to see environment details

     **git***
     commit 533b6682e4a9dcf31d73fc3802c55e05a391c6c5 (HEAD -> bug-csv_infinity_support, karthikeyann/bug-csv_infinity_support)
     Author: Karthikeyan Natarajan 
     Date:   Tue Sep 15 15:04:57 2020 +0530

     changelog entry for PR #6234
     **git submodules***

     ***OS Information***
     DISTRIB_ID=Ubuntu
     DISTRIB_RELEASE=18.04
     DISTRIB_CODENAME=bionic
     DISTRIB_DESCRIPTION="Ubuntu 18.04.3 LTS"
     NAME="Ubuntu"
     VERSION="18.04.3 LTS (Bionic Beaver)"
     ID=ubuntu
     ID_LIKE=debian
     PRETTY_NAME="Ubuntu 18.04.3 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 knataraj-ws 4.15.0-112-generic #113-Ubuntu SMP Thu Jul 9 23:41:39 UTC 2020 x86_64 x86_64 x86_64 GNU/Linux

     ***GPU Information***
     Tue Sep 15 17:18:16 2020
     +-----------------------------------------------------------------------------+
     | NVIDIA-SMI 440.64.00    Driver Version: 440.64.00    CUDA Version: 10.2     |
     |-------------------------------+----------------------+----------------------+
     | GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
     | Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
     |===============================+======================+======================|
     |   0  Quadro GV100        On   | 00000000:15:00.0 Off |                  Off |
     | 37%   49C    P2    39W / 250W |    749MiB / 32508MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+
     |   1  Quadro GV100        On   | 00000000:2D:00.0 Off |                  Off |
     | 42%   56C    P2    40W / 250W |    279MiB / 32498MiB |      0%      Default |
     +-------------------------------+----------------------+----------------------+

     +-----------------------------------------------------------------------------+
     | Processes:                                                       GPU Memory |
     |  GPU       PID   Type   Process name                             Usage      |
     |=============================================================================|
     |    0     29543      C   ...yan/miniconda3/envs/cudf_dev/bin/python   737MiB |
     |    1      1554      G   /usr/lib/xorg/Xorg                           137MiB |
     |    1      1759      G   /usr/bin/gnome-shell                         128MiB |
     +-----------------------------------------------------------------------------+

     ***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:             1200.197
     CPU max MHz:         3700.0000
     CPU min MHz:         1200.0000
     BogoMIPS:            6800.00
     Virtualization:      VT-x
     L1d cache:           32K
     L1i cache:           32K
     L2 cache:            1024K
     L3 cache:            19712K
     NUMA node0 CPU(s):   0-11
     Flags:               fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single pti ssbd mba ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req pku ospke md_clear flush_l1d

     ***CMake***
     /home/karthikeyan/miniconda3/envs/cudf_dev/bin/cmake
     cmake version 3.18.2

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

     ***g++***
     /usr/local/bin/g++
     g++ (Ubuntu 7.5.0-3ubuntu1~18.04) 7.5.0
     Copyright (C) 2017 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) 2005-2019 NVIDIA Corporation
     Built on Wed_Oct_23_19:24:38_PDT_2019
     Cuda compilation tools, release 10.2, V10.2.89

     ***Python***
     /home/karthikeyan/miniconda3/envs/cudf_dev/bin/python
     Python 3.7.8

     ***Environment Variables***
     PATH                            : /home/karthikeyan/miniconda3/envs/cudf_dev/bin:/usr/local/bin:/usr/local/cuda-10.2/bin:/home/karthikeyan/.vscode-server-insiders/bin/e790b931385d72cf5669fcefc51cdf65990efa5d/bin:/home/karthikeyan/bin:/home/karthikeyan/.local/bin:/home/karthikeyan/miniconda3/condabin:/usr/local/bin:/usr/local/cuda-10.2/bin:/home/karthikeyan/.vscode-server-insiders/bin/e790b931385d72cf5669fcefc51cdf65990efa5d/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin:/usr/local/cuda/bin:/home/karthikeyan/miniconda3/bin:/home/karthikeyan/.local/bin:/usr/local/cuda/bin:/home/karthikeyan/miniconda3/bin:/home/karthikeyan/.local/bin
     LD_LIBRARY_PATH                 : /usr/local/cuda-10.2/lib64:/usr/local/cuda-10.2/lib64:/home/karthikeyan/2cudf/cpp/build:/home/karthikeyan/2cudf/cpp/build/release
     NUMBAPRO_NVVM                   :
     NUMBAPRO_LIBDEVICE              :
     CONDA_PREFIX                    : /home/karthikeyan/miniconda3/envs/cudf_dev
     PYTHON_PATH                     :

     ***conda packages***
     /home/karthikeyan/miniconda3/condabin/conda
     # packages in environment at /home/karthikeyan/miniconda3/envs/cudf_dev:
     #
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     tblib                     1.6.0                      py_0    conda-forge
     terminado                 0.8.3            py37hc8dfbb8_1    conda-forge
     testpath                  0.4.4                      py_0    conda-forge
     thrift-cpp                0.13.0               h62aa4f2_3    conda-forge
     tk                        8.6.10               hed695b0_0    conda-forge
     toml                      0.10.1             pyh9f0ad1d_0    conda-forge
     toolz                     0.10.0                     py_0    conda-forge
     tornado                   6.0.4            py37h8f50634_1    conda-forge
     traitlets                 4.3.3            py37hc8dfbb8_1    conda-forge
     typed-ast                 1.4.1            py37h516909a_0    conda-forge
     typing_extensions         3.7.4.2                    py_0    conda-forge
     urllib3                   1.25.10                    py_0    conda-forge
     virtualenv                20.0.20          py37hc8dfbb8_1    conda-forge
     wcwidth                   0.2.5              pyh9f0ad1d_1    conda-forge
     webencodings              0.5.1                      py_1    conda-forge
     wheel                     0.35.1             pyh9f0ad1d_0    conda-forge
     xz                        5.2.5                h516909a_1    conda-forge
     yaml                      0.2.5                h516909a_0    conda-forge
     zeromq                    4.3.2                he1b5a44_3    conda-forge
     zict                      2.0.0                      py_0    conda-forge
     zipp                      3.1.0                      py_0    conda-forge
     zlib                      1.2.11            h516909a_1007    conda-forge
     zstd                      1.4.5                h6597ccf_2    conda-forge

Additional context

github-actions[bot] commented 3 years ago

This issue has been marked rotten due to no recent activity in the past 90d. Please close this issue if no further response or action is needed. Otherwise, please respond with a comment indicating any updates or changes to the original issue and/or confirm this issue still needs to be addressed.

vyasr commented 3 months ago

As of today, this error still exists.

davidwendt commented 3 months ago

This may be the same or related to https://github.com/rapidsai/cudf/issues/6418