dmitra79
commented
4 years ago Apparently cudf=0.13 is not compatible with latest Numba. Upgraded to cudf=0.15 which fixed the problem
Closed dmitra79 closed 4 years ago
dmitra79
commented
4 years ago Apparently cudf=0.13 is not compatible with latest Numba. Upgraded to cudf=0.15 which fixed the problem
Describe the bug I get an error trying to import cudf:
Steps/Code to reproduce bug
Environment overview (please complete the following information) cudf installed with conda: conda install -c rapidsai -c nvidia -c numba -c conda-forge cudf=0.13 python=3.7 cudatoolkit=10.1 Environment: Ubuntu 18.04.2 LTS (GNU/Linux 4.15.0-45-generic x86_64)
Environment details
Click here to see environment details
**git*** Not inside a git repository ***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=18.04 DISTRIB_CODENAME=bionic DISTRIB_DESCRIPTION="Ubuntu 18.04.2 LTS" NAME="Ubuntu" VERSION="18.04.2 LTS (Bionic Beaver)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 18.04.2 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 CTUSBAMIBI-GPU01 4.15.0-45-generic #48-Ubuntu SMP Tue Jan 29 16:28:13 UTC 2019 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Tue Oct 6 20:37:20 2020 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 430.50 Driver Version: 430.50 CUDA Version: 10.1 | |-------------------------------+----------------------+----------------------+ | 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 RTX 6000 Off | 00000000:1F:00.0 Off | Off | | 33% 31C P0 61W / 260W | 0MiB / 24220MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 1 Quadro RTX 6000 Off | 00000000:20:00.0 Off | Off | | 33% 35C P0 60W / 260W | 0MiB / 24220MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 2 Quadro RTX 6000 Off | 00000000:23:00.0 Off | Off | | 32% 35C P0 53W / 260W | 0MiB / 24220MiB | 0% Default | +-------------------------------+----------------------+----------------------+ | 3 Quadro RTX 6000 Off | 00000000:24:00.0 Off | Off | | 32% 31C P0 1W / 260W | 0MiB / 24220MiB | 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): 40 On-line CPU(s) list: 0-39 Thread(s) per core: 2 Core(s) per socket: 10 Socket(s): 2 NUMA node(s): 2 Vendor ID: GenuineIntel CPU family: 6 Model: 85 Model name: Intel(R) Xeon(R) Silver 4210 CPU @ 2.20GHz Stepping: 7 CPU MHz: 1000.498 CPU max MHz: 2201.0000 CPU min MHz: 1000.0000 BogoMIPS: 4400.00 Virtualization: VT-x L1d cache: 32K L1i cache: 32K L2 cache: 1024K L3 cache: 14080K NUMA node0 CPU(s): 0-9,20-29 NUMA node1 CPU(s): 10-19,30-39 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 aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cdp_l3 invpcid_single intel_ppin ssbd mba ibrs ibpb stibp ibrs_enhanced 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 pku ospke avx512_vnni flush_l1d arch_capabilities ***CMake*** ***g++*** /usr/bin/g++ g++ (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0 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*** ***Python*** /home/z0022z7b/anaconda3/envs/mindsynchro/bin/python Python 3.7.9 ***Environment Variables*** PATH : /home/z0022z7b/anaconda3/envs/mindsynchro/bin:/home/z0022z7b/anaconda3/bin:/home/z0022z7b/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin LD_LIBRARY_PATH : NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : /home/z0022z7b/anaconda3/envs/mindsynchro PYTHON_PATH : ***conda packages*** /home/z0022z7b/anaconda3/bin/conda # packages in environment at /home/z0022z7b/anaconda3/envs/mindsynchro: # # Name Version Build Channel _libgcc_mutex 0.1 main arrow-cpp 0.15.0 py37h090bef1_2 conda-forge blas 1.0 mkl boost-cpp 1.70.0 h7b93d67_3 conda-forge brotli 1.0.9 he6710b0_0 bzip2 1.0.8 h7b6447c_0 c-ares 1.16.1 h7b6447c_0 ca-certificates 2020.7.22 0 certifi 2020.6.20 py37_0 cudatoolkit 10.1.243 h6bb024c_0 nvidia cudf 0.13.0 py37_0 rapidsai cudnn 7.6.5 cuda10.1_0 cupy 7.8.0 py37h0632833_1 conda-forge dlpack 0.3 he6710b0_1 double-conversion 3.1.5 he6710b0_1 fastavro 1.0.0.post1 py37h7b6447c_0 fastparquet 0.3.2 py37heb32a55_0 fastrlock 0.5 py37he6710b0_0 fsspec 0.6.3 py_0 conda-forge gflags 2.2.2 he6710b0_0 glog 0.4.0 he6710b0_0 grpc-cpp 1.23.0 h18db393_0 conda-forge icu 67.1 he1b5a44_0 conda-forge intel-openmp 2020.2 254 ld_impl_linux-64 2.33.1 h53a641e_7 libcudf 0.13.0 cuda10.1_0 rapidsai libedit 3.1.20191231 h14c3975_1 libevent 2.1.10 hcdb4288_2 conda-forge libffi 3.3 he6710b0_2 libgcc-ng 9.1.0 hdf63c60_0 libllvm10 10.0.1 hbcb73fb_5 libnvstrings 0.13.0 cuda10.1_0 rapidsai libprotobuf 3.8.0 h8b12597_0 conda-forge librmm 0.13.0 cuda10.1_0 rapidsai libstdcxx-ng 9.1.0 hdf63c60_0 llvmlite 0.34.0 py37h269e1b5_4 lz4-c 1.8.3 he1b5a44_1001 conda-forge mkl 2020.2 256 mkl-service 2.3.0 py37he904b0f_0 mkl_fft 1.2.0 py37h23d657b_0 mkl_random 1.1.1 py37h0573a6f_0 nccl 2.4.6.1 cuda10.1_0 nvidia ncurses 6.2 he6710b0_1 numba 0.51.2 py37h04863e7_1 numpy 1.19.1 py37hbc911f0_0 numpy-base 1.19.1 py37hfa32c7d_0 nvstrings 0.13.0 py37_0 rapidsai openssl 1.1.1h h7b6447c_0 pandas 0.25.3 py37hb3f55d8_0 conda-forge parquet-cpp 1.5.1 2 conda-forge pip 20.2.3 py37_0 pyarrow 0.15.0 py37h8b68381_1 conda-forge python 3.7.9 h7579374_0 python-dateutil 2.8.1 py_0 python-snappy 0.5.4 py37he6710b0_0 python_abi 3.7 1_cp37m conda-forge pytz 2020.1 py_0 re2 2019.08.01 he6710b0_0 readline 8.0 h7b6447c_0 rmm 0.13.0 py37_0 rapidsai setuptools 50.3.0 py37hb0f4dca_1 six 1.15.0 py_0 snappy 1.1.8 he6710b0_0 sqlite 3.33.0 h62c20be_0 tbb 2020.3 hfd86e86_0 thrift 0.13.0 py37he6710b0_0 thrift-cpp 0.12.0 hf3afdfd_1004 conda-forge tk 8.6.10 hbc83047_0 uriparser 0.9.3 he6710b0_1 wheel 0.35.1 py_0 xz 5.2.5 h7b6447c_0 zlib 1.2.11 h7b6447c_3 zstd 1.4.4 h3b9ef0a_2 conda-forge