cuDF (branch-0.7) build failed while make -j

Error Message:

/root/cudf/cpp/src/string/nvcategory_util.cpp: In function ‘NVCategory* {anonymous}::combine_column_categories(gdf_column**, int)’: /root/cudf/cpp/src/string/nvcategory_util.cpp:19:50: error: ‘class NVCategory’ has no member named ‘merge_and_remap’ combined_category = combined_category->merge_and_remap( ^ /root/cudf/cpp/src/string/nvcategory_util.cpp:28:35: error: ‘class NVCategory’ has no member named ‘copy’ return combined_category->copy(); ^ /root/cudf/cpp/src/string/nvcategory_util.cpp: In function ‘gdf_error nvcategory_gather(gdf_column*, NVCategory*)’: /root/cudf/cpp/src/string/nvcategory_util.cpp:76:34: error: ‘class NVCategory’ has no member named ‘add_keys_and_remap’ nv_category = nv_category->add_keys_and_remap(strs); ^ /root/cudf/cpp/src/string/nvcategory_util.cpp:109:44: error: ‘class NVCategory’ has no member named ‘gather’ NVCategory * new_category = nv_category->gather(static_cast<nv_category_index_type >(column->data), ^ /root/cudf/cpp/src/string/nvcategory_util.cpp:117:44: error: invalid conversion from 'nv_category_index_type {aka int}’ to ‘unsigned int*’ [-fpermissive] DEVICE_ALLOCATED); ^ In file included from /root/cudf/cpp/src/string/nvcategory_util.cpp:5:0: /root/cudf/cpp/build/include/nvstrings/NVCategory.h:94:9: note: initializing argument 1 of ‘int NVCategory::get_values(unsigned int*, bool)’ int get_values( unsigned int* results, bool devmem=true ); ^ /root/cudf/cpp/src/string/nvcategory_util.cpp: In function ‘gdf_error concat_categories(gdf_column**, gdf_column*, int)’: /root/cudf/cpp/src/string/nvcategory_util.cpp:154:13: error: invalid conversion from ‘nv_category_index_type* {aka int*}’ to ‘unsigned int*’ [-fpermissive] true); ^ In file included from /root/cudf/cpp/src/string/nvcategory_util.cpp:5:0: /root/cudf/cpp/build/include/nvstrings/NVCategory.h:94:9: note: initializing argument 1 of ‘int NVCategory::get_values(unsigned int*, bool)’ int get_values( unsigned int* results, bool devmem=true ); ^ In file included from /root/cudf/cpp/include/types.hpp:19:0, from /root/cudf/cpp/src/string/nvcategory_util.hpp:6, from /root/cudf/cpp/src/string/nvcategory_util.cpp:2: /root/cudf/cpp/src/string/nvcategory_util.cpp: In function ‘gdf_error sync_column_categories(gdf_column**, gdf_column**, int)’: /root/cudf/cpp/src/string/nvcategory_util.cpp:185:46: error: ‘class NVCategory’ has no member named ‘values_cptr’ combined_category->values_cptr() + current_column_start_position, ^ /root/cudf/cpp/src/utilities/error_utils.hpp:120:33: note: in definition of macro ‘CUDA_TRY’ cudaError_t const status = (call);
^ /root/cudf/cpp/src/string/nvcategory_util.cpp:191:76: error: ‘class NVCategory’ has no member named ‘copy’ output_columns[column_index]->dtype_info.category = combined_category->copy(); ^ CMakeFiles/cudf.dir/build.make:101: recipe for target ‘CMakeFiles/cudf.dir/src/string/nvcategory_util.cpp.o’ failed

Steps/Code to reproduce bug Follow this guide https://github.com/rapidsai/cudf/blob/branch-0.7/CONTRIBUTING.md#setting-up-your-build-environment, failed in the make -j stage.

Environment details (please complete the following information): git* commit abea67901cfcbc19c05101fad1abe35dce2532b2 (HEAD -> branch-0.7, origin/branch-0.7, origin/HEAD) Merge: d5ca4b1 11dda6e Author: gpuCI 38199262+GPUtester@users.noreply.github.com Date: Mon Mar 18 16:39:33 2019 -0400

Merge pull request #1225 from rapidsai/branch-0.6

[gpuCI] Auto-merge branch-0.6 to branch-0.7 [skip ci]

OS Information DISTRIB_ID=Ubuntu DISTRIB_RELEASE=16.04 DISTRIB_CODENAME=xenial DISTRIB_DESCRIPTION=“Ubuntu 16.04.5 LTS” NAME=“Ubuntu” VERSION=“16.04.5 LTS (Xenial Xerus)” ID=ubuntu ID_LIKE=debian PRETTY_NAME=“Ubuntu 16.04.5 LTS” VERSION_ID=“16.04” HOME_URL=“http://www.ubuntu.com/” SUPPORT_URL=“http://help.ubuntu.com/” BUG_REPORT_URL=“http://bugs.launchpad.net/ubuntu/” VERSION_CODENAME=xenial UBUNTU_CODENAME=xenial Linux 1edfd97799d5 3.10.0-862.14.4.el7.x86_64 #1 SMP Wed Sep 26 15:12:11 UTC 2018 x86_64 x86_64 x86_64 GNU/Linux

GPU Information Wed Mar 20 02:49:58 2019
±----------------------------------------------------------------------------+ | NVIDIA-SMI 410.79 Driver Version: 410.79 CUDA Version: 10.0 | |-------------------------------±---------------------±---------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | |===============================+======================+======================| | 0 Tesla V100-SXM2… Off | 00000000:89:00.0 Off | 0 | | N/A 38C P0 39W / 300W | 0MiB / 16130MiB | 0% Default | ±------------------------------±---------------------±---------------------+

±----------------------------------------------------------------------------+ | Processes: GPU Memory | | GPU PID Type Process name Usage | |=============================================================================| | No running processes found | ±----------------------------------------------------------------------------+

CPU Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Byte Order: Little Endian CPU(s): 56 On-line CPU(s) list: 0-55 Thread(s) per core: 2 Core(s) per socket: 14 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 85 Model name: Intel® Xeon® Gold 5120 CPU @ 2.20GHz Stepping: 4 CPU MHz: 1000.000 CPU max MHz: 2201.0000 CPU min MHz: 1000.0000 BogoMIPS: 4405.23 Virtualization: VT-x Hypervisor vendor: vertical Virtualization type: full L1d cache: 32K L1i cache: 32K L2 cache: 1024K L3 cache: 19712K NUMA node0 CPU(s): 0-13,28-41 NUMA node1 CPU(s): 14-27,42-55 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 aperfmperf eagerfpu 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 epb cat_l3 cdp_l3 intel_ppin intel_pt 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 avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts pku ospke spec_ctrl intel_stibp flush_l1d

CMake /conda/envs/cudf_dev/bin/cmake cmake version 3.14.0

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

g++ /usr/bin/g++ g++ (Ubuntu 5.4.0-6ubuntu1~16.04.10) 5.4.0 20160609 Copyright © 2015 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/cuda/bin/nvcc nvcc: NVIDIA ® Cuda compiler driver Copyright © 2005-2018 NVIDIA Corporation Built on Tue_Jun_12_23:07:04_CDT_2018 Cuda compilation tools, release 9.2, V9.2.148

Python /conda/envs/cudf_dev/bin/python Python 3.7.2

Environment Variables PATH : /conda/envs/cudf_dev/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/conda/bin LD_LIBRARY_PATH : /usr/local/nvidia/lib:/usr/local/nvidia/lib64:/usr/local/cuda/lib64 NUMBAPRO_NVVM : /usr/local/cuda/nvvm/lib64/libnvvm.so NUMBAPRO_LIBDEVICE : /usr/local/cuda/nvvm/libdevice CONDA_PREFIX : /conda/envs/cudf_dev PYTHON_PATH :

conda packages /conda/bin/conda

packages in environment at /conda/envs/cudf_dev:

Name Version Build Channel

alabaster 0.7.12 py_0 conda-forge arrow-cpp 0.12.1 py37h0e61e49_0 conda-forge asn1crypto 0.24.0 py37_1003 conda-forge atomicwrites 1.3.0 py_0 conda-forge attrs 19.1.0 py_0 conda-forge babel 2.6.0 py_1 conda-forge backcall 0.1.0 py_0 conda-forge bleach 3.1.0 py_0 conda-forge boost 1.68.0 py37h8619c78_1001 conda-forge boost-cpp 1.68.0 h11c811c_1000 conda-forge bzip2 1.0.6 h14c3975_1002 conda-forge ca-certificates 2019.3.9 hecc5488_0 conda-forge certifi 2019.3.9 py37_0 conda-forge cffi 1.12.2 py37hf0e25f4_1 conda-forge chardet 3.0.4 py37_1003 conda-forge click 7.0 py_0 conda-forge cloudpickle 0.8.0 py_0 conda-forge cmake 3.14.0 hf94ab9c_0 conda-forge commonmark 0.8.1 py_0 conda-forge cryptography 2.6.1 py37h9d9f1b6_0 conda-forge curl 7.64.0 h646f8bb_2 conda-forge cython 0.29.6 py37hf484d3e_0 conda-forge cytoolz 0.9.0.1 py37h14c3975_1001 conda-forge dask-core 1.1.4 py_0 conda-forge decorator 4.4.0 py_0 conda-forge defusedxml 0.5.0 py_1 conda-forge distributed 1.26.0 py37_1 conda-forge docutils 0.14 py37_1001 conda-forge entrypoints 0.3 py37_1000 conda-forge expat 2.2.5 hf484d3e_1002 conda-forge future 0.17.1 py37_1000 conda-forge gmp 6.1.2 hf484d3e_1000 conda-forge heapdict 1.0.0 py37_1000 conda-forge icu 58.2 hf484d3e_1000 conda-forge idna 2.8 py37_1000 conda-forge imagesize 1.1.0 py_0 conda-forge ipykernel 5.1.0 py37h24bf2e0_1002 conda-forge ipython 7.3.0 py37h24bf2e0_0 conda-forge ipython_genutils 0.2.0 py_1 conda-forge jedi 0.13.3 py37_0 conda-forge jinja2 2.10 py_1 conda-forge jsonschema 3.0.1 py37_0 conda-forge jupyter_client 5.2.4 py_3 conda-forge jupyter_core 4.4.0 py_0 conda-forge krb5 1.16.3 h05b26f9_1001 conda-forge libblas 3.8.0 4_openblas conda-forge libcblas 3.8.0 4_openblas conda-forge libcurl 7.64.0 h541490c_2 conda-forge libedit 3.1.20170329 hf8c457e_1001 conda-forge libffi 3.2.1 he1b5a44_1006 conda-forge libgcc-ng 7.3.0 hdf63c60_0 conda-forge libgfortran-ng 7.2.0 hdf63c60_3 conda-forge liblapack 3.8.0 4_openblas conda-forge libprotobuf 3.6.1 hdbcaa40_1001 conda-forge libsodium 1.0.16 h14c3975_1001 conda-forge libssh2 1.8.1 h22169c7_0 conda-forge libstdcxx-ng 7.3.0 hdf63c60_0 conda-forge libuv 1.26.0 h14c3975_0 conda-forge llvmlite 0.28.0 py37hf484d3e_0 numba Markdown 2.6.11 <pip> markupsafe 1.1.1 py37h14c3975_0 conda-forge mistune 0.8.4 py37h14c3975_1000 conda-forge more-itertools 4.3.0 py37_1000 conda-forge msgpack-python 0.6.1 py37h6bb024c_0 conda-forge nbconvert 5.4.1 py_2 conda-forge nbformat 4.4.0 py_1 conda-forge nbsphinx 0.4.2 py_0 conda-forge ncurses 6.1 hf484d3e_1002 conda-forge notebook 5.7.6 py37_0 conda-forge numba 0.43.0 np116py37hf484d3e_0 numba numpy 1.16.2 py37h8b7e671_1 conda-forge numpydoc 0.8.0 py_1 conda-forge nvstrings 0.2.0 cuda9.2_py37_0 nvidia openblas 0.3.5 h9ac9557_1001 conda-forge openssl 1.1.1b h14c3975_1 conda-forge packaging 19.0 py_0 conda-forge pandas 0.24.2 py37hf484d3e_0 conda-forge pandoc 1.19.2 0 conda-forge pandocfilters 1.4.2 py_1 conda-forge parquet-cpp 1.5.1 4 conda-forge parso 0.3.4 py_0 conda-forge pexpect 4.6.0 py37_1000 conda-forge pickleshare 0.7.5 py37_1000 conda-forge pip 19.0.3 py37_0 conda-forge pluggy 0.9.0 py_0 conda-forge prometheus_client 0.6.0 py_0 conda-forge prompt_toolkit 2.0.9 py_0 conda-forge psutil 5.6.1 py37h14c3975_0 conda-forge ptyprocess 0.6.0 py37_1000 conda-forge py 1.8.0 py_0 conda-forge pyarrow 0.12.1 py37hbbcf98d_0 conda-forge pycparser 2.19 py37_1 conda-forge pygments 2.3.1 py_0 conda-forge pyopenssl 19.0.0 py37_0 conda-forge pyparsing 2.3.1 py_0 conda-forge pyrsistent 0.14.11 py37h14c3975_0 conda-forge pysocks 1.6.8 py37_1002 conda-forge pytest 4.3.1 py37_0 conda-forge python 3.7.2 h381d211_0 conda-forge python-dateutil 2.8.0 py_0 conda-forge pytz 2018.9 py_0 conda-forge pyyaml 5.1 py37h14c3975_0 conda-forge pyzmq 18.0.1 py37h0e1adb2_0 conda-forge readline 7.0 hf8c457e_1001 conda-forge recommonmark 0.5.0 py_0 conda-forge requests 2.21.0 py37_1000 conda-forge rhash 1.3.6 h14c3975_1001 conda-forge send2trash 1.5.0 py_0 conda-forge setuptools 40.8.0 py37_0 conda-forge six 1.12.0 py37_1000 conda-forge snowballstemmer 1.2.1 py_1 conda-forge sortedcontainers 2.1.0 py_0 conda-forge sphinx 1.8.5 py37_0 conda-forge sphinx-markdown-tables 0.0.9 <pip> sphinx_rtd_theme 0.4.3 py_0 conda-forge sphinxcontrib-websupport 1.1.0 py_1 conda-forge sqlite 3.26.0 h67949de_1001 conda-forge tblib 1.3.2 py_1 conda-forge terminado 0.8.1 py37_1001 conda-forge testpath 0.4.2 py_1001 conda-forge thrift-cpp 0.12.0 h0a07b25_1002 conda-forge tk 8.6.9 h84994c4_1000 conda-forge toolz 0.9.0 py_1 conda-forge tornado 6.0.1 py37h14c3975_0 conda-forge traitlets 4.3.2 py37_1000 conda-forge urllib3 1.24.1 py37_1000 conda-forge wcwidth 0.1.7 py_1 conda-forge webencodings 0.5.1 py_1 conda-forge wheel 0.33.1 py37_0 conda-forge xz 5.2.4 h14c3975_1001 conda-forge yaml 0.1.7 h14c3975_1001 conda-forge zeromq 4.2.5 hf484d3e_1006 conda-forge zict 0.1.4 py_0 conda-forge zlib 1.2.11 h14c3975_1004 conda-forge

Additional context Add any other context about the problem here.