JannikSchneider12
commented
10 months ago Edit:
When I am using docker, I am getting the same error:
A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
(hyper-spec) root@df0eaf97b773:/Hyper-Spec# python src/main.py -h
Traceback (most recent call last):
File "src/main.py", line 10, in
Hey,
I am using wsl and tried to install via cloning the repo, create an environment with "mamba env create --name hyperspec -f requirements.yaml' and not want to run the tool. However when I am running "python src/main.py -h", I am getting this error:
Traceback (most recent call last): File "src/main.py", line 10, in
import hd_preprocess, hd_cluster
File "/home/jannik/hyperspec/Hyper-Spec/src/hd_cluster.py", line 13, in
import cuml, rmm
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/cuml/init.py", line 17, in
from cuml.common.base import Base
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/cuml/common/init.py", line 17, in
from cuml.common.array import CumlArray
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/cuml/common/array.py", line 25, in
from cudf import DataFrame
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/cudf/init.py", line 5, in
validate_setup()
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/cudf/utils/gpu_utils.py", line 20, in validate_setup
from rmm._cuda.gpu import (
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/rmm/init.py", line 16, in
from rmm import mr
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/rmm/mr.py", line 14, in
from rmm._lib.memory_resource import (
File "/home/jannik/mambaforge/envs/hyperspec/lib/python3.8/site-packages/rmm/_lib/init.py", line 15, in
from .device_buffer import DeviceBuffer
File "device_buffer.pyx", line 1, in init rmm._lib.device_buffer
TypeError: C function cuda.ccudart.cudaStreamSynchronize has wrong signature (expected __pyx_t_4cuda_7ccudart_cudaError_t (__pyx_t_4cuda_7ccudart_cudaStream_t), got cudaError_t (cudaStream_t))
This is my virtual environment
(hyperspec) jannik@DELLXPS:~/hyperspec/Hyper-Spec$ conda list
packages in environment at /home/jannik/mambaforge/envs/hyperspec:
#
Name Version Build Channel
_libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_gnu conda-forge abseil-cpp 20211102.0 hd4dd3e8_0 apache-arrow-proc 4.0.0 cuda conda-forge arrow-cpp 6.0.1 py38h97bb493_20_cuda conda-forge arrow-cpp-proc 4.0.0 cuda conda-forge aws-c-cal 0.5.11 h95a6274_0 conda-forge aws-c-common 0.6.2 h27cfd23_0 aws-c-event-stream 0.2.7 h3541f99_13 conda-forge aws-c-io 0.10.5 hfb6a706_0 conda-forge aws-checksums 0.1.11 ha31a3da_7 conda-forge aws-sdk-cpp 1.8.186 hecaee15_4 conda-forge blas 1.0 mkl bokeh 2.4.3 py38h06a4308_0 bottleneck 1.3.4 py38hce1f21e_0 bzip2 1.0.8 h7b6447c_0 c-ares 1.19.1 h5eee18b_0 ca-certificates 2023.11.17 hbcca054_0 conda-forge cachetools 4.2.2 pyhd3eb1b0_0 click 8.0.4 py38h06a4308_0 cloudpickle 2.2.1 py38h06a4308_0 configargparse 1.4 pyhd3eb1b0_0 cuda-python 11.8.3 py38h1986e8c_0 conda-forge cuda-version 11.2 hb11dac2_2 conda-forge cudatoolkit 11.2.2 hc23eb0c_12 conda-forge cudf 22.04.00 cuda_11_py38_g8bf0520170_0 rapidsai cuml 22.04.00 cuda11_py38_g95abbc746_0 rapidsai cupy 10.6.0 py38h405e1b6_0 conda-forge cython 0.29.28 py38h295c915_0 cytoolz 0.12.2 py38h5eee18b_0 daal4py 2021.5.0 py38h78b71dc_0 dal 2021.5.1 h06a4308_803 dask 2022.3.0 pyhd8ed1ab_1 conda-forge dask-core 2022.3.0 pyhd8ed1ab_0 conda-forge dask-cuda 22.4.0 pyhd8ed1ab_1 conda-forge dask-cudf 22.04.00 cuda_11_py38_g8bf0520170_0 rapidsai distributed 2022.3.0 pyhd8ed1ab_0 conda-forge dlpack 0.5 h9c3ff4c_0 conda-forge faiss-proc 1.0.0 cuda conda-forge fastavro 1.7.0 py38h5eee18b_0 fastcluster 1.2.6 py38h1128e8f_0 fastrlock 0.8.2 py38h17151c0_1 conda-forge freetype 2.12.1 h4a9f257_0 fsspec 2023.10.0 py38h06a4308_0 gflags 2.2.2 he6710b0_0 giflib 5.2.1 h5eee18b_3 glog 0.6.0 h6f12383_0 conda-forge grpc-cpp 1.45.2 he70e3f0_3 conda-forge heapdict 1.0.1 pyhd3eb1b0_0 icu 73.1 h6a678d5_0 intel-openmp 2023.1.0 hdb19cb5_46306 jinja2 3.1.2 py38h06a4308_0 joblib 1.1.0 pyhd3eb1b0_0 jpeg 9e h5eee18b_1 krb5 1.20.1 h568e23c_1 lcms2 2.12 h3be6417_0 ld_impl_linux-64 2.38 h1181459_1 lerc 3.0 h295c915_0 libblas 3.9.0 1_h86c2bf4_netlib conda-forge libbrotlicommon 1.0.9 h5eee18b_7 libbrotlidec 1.0.9 h5eee18b_7 libbrotlienc 1.0.9 h5eee18b_7 libcblas 3.9.0 5_h92ddd45_netlib conda-forge libcudf 22.04.00 cuda11_g8bf0520170_0 rapidsai libcuml 22.04.00 cuda11_g95abbc746_0 rapidsai libcumlprims 22.04.00 cuda11_g286c803_0 nvidia libcurl 8.2.1 h91b91d3_0 libcusolver 11.5.4.101 0 nvidia libdeflate 1.17 h5eee18b_1 libedit 3.1.20221030 h5eee18b_0 libev 4.33 h7f8727e_1 libevent 2.1.10 h9b69904_4 conda-forge libfaiss 1.7.0 cuda112h5bea7ad_8_cuda conda-forge libffi 3.4.4 h6a678d5_0 libgcc-ng 13.2.0 h807b86a_3 conda-forge libgfortran-ng 11.2.0 h00389a5_1 libgfortran5 11.2.0 h1234567_1 libgomp 13.2.0 h807b86a_3 conda-forge libhwloc 2.3.0 h5e5b7d1_1 conda-forge liblapack 3.9.0 5_h92ddd45_netlib conda-forge libllvm11 11.1.0 h9e868ea_6 libmagic 5.36 h27cfd23_2 libnghttp2 1.52.0 ha637b67_1 libpng 1.6.39 h5eee18b_0 libprotobuf 3.20.3 he621ea3_0 libraft-distance 22.04.00 cuda11_ge987ec8_0 rapidsai libraft-headers 22.04.00 cuda11_ge987ec8_0 rapidsai libraft-nn 22.04.00 cuda11_ge987ec8_0 rapidsai librmm 22.04.01 h65003ff_1 conda-forge libssh2 1.10.0 h37d81fd_2 libstdcxx-ng 13.2.0 h7e041cc_3 conda-forge libthrift 0.16.0 h491838f_2 conda-forge libtiff 4.5.1 h6a678d5_0 libutf8proc 2.8.0 h166bdaf_0 conda-forge libwebp 1.3.2 h11a3e52_0 libwebp-base 1.3.2 h5eee18b_0 libxml2 2.10.4 hf1b16e4_1 libzlib 1.2.13 hd590300_5 conda-forge llvmlite 0.38.0 py38h4ff587b_0 locket 1.0.0 py38h06a4308_0 lz4 4.3.2 py38h5eee18b_0 lz4-c 1.9.4 h6a678d5_0 markupsafe 2.1.1 py38h7f8727e_0 mkl 2023.1.0 h213fc3f_46344 mkl-service 2.4.0 py38h5eee18b_1 mkl_fft 1.3.8 py38h5eee18b_0 mkl_random 1.2.4 py38hdb19cb5_0 mpi 1.0 mpich mpich 3.3.2 external_0 msgpack-python 1.0.3 py38hd09550d_0 nccl 2.19.4.1 h0800d71_0 conda-forge ncurses 6.4 h6a678d5_0 numba 0.55.1 py38h51133e4_0 numexpr 2.8.4 py38hc78ab66_1 numpy 1.21.5 py38hf6e8229_4 numpy-base 1.21.5 py38h060ed82_4 nvtx 0.2.8 py38h01eb140_1 conda-forge openjpeg 2.4.0 h3ad879b_0 openssl 1.1.1w h7f8727e_0 orc 1.7.5 h6c59b99_0 conda-forge packaging 23.1 py38h06a4308_0 pandas 1.3.5 py38h8c16a72_0 parquet-cpp 1.5.1 h34088ae_4 partd 1.4.1 py38h06a4308_0 pillow 10.0.1 py38ha6cbd5a_0 pip 21.2.4 py38h06a4308_0 protobuf 3.20.3 py38h6a678d5_0 psutil 5.9.0 py38h5eee18b_0 ptxcompiler 0.8.1 py38h1986e8c_2 conda-forge pyarrow 6.0.1 py38h17143e8_20_cuda conda-forge pynvml 11.4.1 pyhd8ed1ab_0 conda-forge pyraft 22.04.00 cuda11_py38_ge987ec8_0 rapidsai python 3.8.18 h7a1cb2a_0 python-dateutil 2.8.2 pyhd3eb1b0_0 python-lmdb 1.4.1 py38h6a678d5_0 python-magic 0.4.27 py38h578d9bd_4 conda-forge python_abi 3.8 2_cp38 conda-forge pytz 2023.3.post1 py38h06a4308_0 pyyaml 6.0.1 py38h5eee18b_0 re2 2022.04.01 h295c915_0 readline 8.2 h5eee18b_0 rmm 22.04.01 cuda11_py38_g9e30c3a_0 rapidsai s2n 1.0.10 h9b69904_0 conda-forge s3cmd 2.0.2 py_0 conda-forge scikit-learn 1.0.2 py38h51133e4_1 scikit-learn-intelex 2021.5.0 py38h06a4308_0 scipy 1.7.3 py38h8ce737c_1 conda-forge setuptools 68.0.0 py38h06a4308_0 six 1.16.0 pyhd3eb1b0_1 snappy 1.1.9 h295c915_0 sortedcontainers 2.4.0 pyhd3eb1b0_0 spdlog 1.10.0 h924138e_0 conda-forge sqlite 3.41.2 h5eee18b_0 tbb 2021.8.0 hdb19cb5_0 tblib 1.7.0 pyhd3eb1b0_0 threadpoolctl 2.2.0 pyh0d69192_0 thrust 1.16.0 h0800d71_2 conda-forge tk 8.6.12 h1ccaba5_0 toolz 0.12.0 py38h06a4308_0 tornado 6.1 py38h27cfd23_0 tqdm 4.64.0 py38h06a4308_0 treelite 2.3.0 py38hdd725b4_0 conda-forge treelite-runtime 2.3.0 pypi_0 pypi typing_extensions 4.7.1 py38h06a4308_0 ucx 1.12.0+gd367332 cuda11.2_0 rapidsai ucx-proc 1.0.0 gpu conda-forge ucx-py 0.25.00 py38_gd367332_0 rapidsai wheel 0.41.2 py38h06a4308_0 xz 5.4.5 h5eee18b_0 yaml 0.2.5 h7b6447c_0 zict 3.0.0 py38h06a4308_0 zlib 1.2.13 hd590300_5 conda-forge zstd 1.5.5 hc292b87_0
Could anyone help me?
Thanks for your time and help