CV-CUDA
CV-CUDA copied to clipboard
Published
20 hours ago •
CVCUDA
CVCUDA
[ERROR]Line 679: '' failed: no kernel image is available for execution on the device Aborted (core dumped)
环境：
torch cu11.7
ubuntu20.04
显卡1080ti
代码 import os os.environ["CUDA_VISIBLE_DEVICES"] = "0" import torch import cvcuda,nvcv import torchnvjpeg
print("torch.cuda.is_available():",torch.cuda.is_available()) image_path = "./CV-CUDA-0.2.0-alpha/data/images/1.jpg" decoder = torchnvjpeg.Decoder()
image_data = open(image_path, 'rb').read()
image_tensor = decoder.decode(image_data) # run on GPU data_list = [image_tensor for _ in range(1)] print(image_tensor.shape)
image_tensors = torch.stack(data_list)
image_tensors_nchw = image_tensors.permute(0, 3, 1, 2) # from NHWC to NCHW
print(image_tensors_nchw.shape)
input_image_height, input_image_width = ( image_tensors.shape[1], image_tensors.shape[2], )
cvcuda_input_tensor = cvcuda.as_tensor(image_tensors, "NHWC") print("cvcuda_input_tensor.shape:",cvcuda_input_tensor.shape)
target_img_height=1920 target_img_width=1080
cvcuda_resized_tensor = cvcuda.resize( cvcuda_input_tensor, ( 1, target_img_height, target_img_width, 3, ), cvcuda.Interp.LINEAR, ) print("cvcuda_resized_tensor.shape:",cvcuda_resized_tensor.shape)
+1 docker镜像nvcr.io/nvidia/pytorch:22.08-py3 torch cu11.7 ubuntu20.04 显卡1080ti
测试python实例，选择0号GPU出现如下错误 Processing batch 1 of 1 Line 679: '' failed: no kernel image is available for execution on the device
选择1号GPU 导致机器宕机重启
Hi @Mylszd and @wzw773828204, if you can run the print_env.sh script in the root directory of the repo and post the results here, that will be very helpful.
@milesp-nvidia I have the same issue, and my env:
Click here to see environment details
**git***./print_env.sh: 24: [: true: unexpected operator Not inside a git repository
***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=20.04 DISTRIB_CODENAME=focal DISTRIB_DESCRIPTION="Ubuntu 20.04.1 LTS" NAME="Ubuntu" VERSION="20.04.1 LTS (Focal Fossa)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 20.04.1 LTS" VERSION_ID="20.04" 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=focal UBUNTU_CODENAME=focal Linux ubuntu20-04 5.15.0-56-generic #62~20.04.1-Ubuntu SMP Tue Nov 22 21:24:20 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Thu Jan 5 11:41:31 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 515.76 Driver Version: 515.76 CUDA Version: 11.7 | |-------------------------------+----------------------+----------------------+ | 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 P102-100 Off | 00000000:01:00.0 Off | N/A | | 38% 41C P0 74W / 250W | 3126MiB / 10240MiB | 46% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 1008 G /usr/lib/xorg/Xorg 70MiB | | 0 N/A N/A 2000 G /usr/lib/xorg/Xorg 487MiB | | 0 N/A N/A 2195 G /usr/bin/gnome-shell 56MiB | | 0 N/A N/A 3120 G ...nlogin/bin/sunloginclient 13MiB | | 0 N/A N/A 3707 G ...2gtk-4.0/WebKitWebProcess 10MiB | | 0 N/A N/A 4473 G ...RendererForSitePerProcess 76MiB | | 0 N/A N/A 457832 G ...veSuggestionsOnlyOnDemand 54MiB | | 0 N/A N/A 803021 C tritonserver 2006MiB | | 0 N/A N/A 1806407 C /usr/bin/python3.8 125MiB | | 0 N/A N/A 1873640 C /usr/bin/python3.8 125MiB | | 0 N/A N/A 1985449 G ...961838332868937147,131072 79MiB | +-----------------------------------------------------------------------------+ ***CPU*** 架构： x86_64 CPU 运行模式： 32-bit, 64-bit 字节序： Little Endian Address sizes: 39 bits physical, 48 bits virtual CPU: 12 在线 CPU 列表： 0-11 每个核的线程数： 2 每个座的核数： 6 座： 1 NUMA 节点： 1 厂商 ID： GenuineIntel CPU 系列： 6 型号： 158 型号名称： Intel(R) Core(TM) i7-8700 CPU @ 3.20GHz 步进： 10 CPU MHz： 3506.627 CPU 最大 MHz： 4600.0000 CPU 最小 MHz： 800.0000 BogoMIPS： 6399.96 L1d 缓存： 192 KiB L1i 缓存： 192 KiB L2 缓存： 1.5 MiB L3 缓存： 12 MiB NUMA 节点0 CPU： 0-11 Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported Vulnerability L1tf: Mitigation; PTE Inversion Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Mmio stale data: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Retbleed: Mitigation; IBRS Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS Not affected Vulnerability Srbds: Mitigation; Microcode Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT vulnerable 标记： 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 aarch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp md_clear flush_l1d ***CMake*** /usr/local/bin/cmake cmake version 3.22.6 CMake suite maintained and supported by Kitware (kitware.com/cmake). ***g++*** /usr/bin/g++ g++ (Ubuntu 11.1.0-1ubuntu1~20.04) 11.1.0 Copyright (C) 2021 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 (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Jun__8_16:49:14_PDT_2022 Cuda compilation tools, release 11.7, V11.7.99 Build cuda_11.7.r11.7/compiler.31442593_0 ***Python*** /home/zzm/software/anaconda3/bin/python Python 3.9.13 ***Environment Variables*** PATH : /usr/local/cuda/bin:/home/zzm/software/anaconda3/bin:/home/zzm/software/anaconda3/bin:/home/zzm/software/anaconda3/condabin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/snap/bin LD_LIBRARY_PATH : /usr/local/cuda/lib64 NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : /home/zzm/software/anaconda3 PYTHON_PATH : ***conda packages*** conda is /home/zzm/software/anaconda3/bin/conda /home/zzm/software/anaconda3/bin/conda # packages in environment at /home/zzm/software/anaconda3: # # Name Version Build Channel _ipyw_jlab_nb_ext_conf 0.1.0 py39h06a4308_1 _libgcc_mutex 0.1 main _openmp_mutex 5.1 1_gnu alabaster 0.7.12 pyhd3eb1b0_0 anaconda 2022.10 py39_0 anaconda-client 1.11.0 py39h06a4308_0 anaconda-navigator 2.3.1 py39h06a4308_0 anaconda-project 0.11.1 py39h06a4308_0 anyio 3.5.0 py39h06a4308_0 appdirs 1.4.4 pyhd3eb1b0_0 argon2-cffi 21.3.0 pyhd3eb1b0_0 argon2-cffi-bindings 21.2.0 py39h7f8727e_0 arrow 1.2.2 pyhd3eb1b0_0 astroid 2.11.7 py39h06a4308_0 astropy 5.1 py39h7deecbd_0 atomicwrites 1.4.0 py_0 attrs 21.4.0 pyhd3eb1b0_0 automat 20.2.0 py_0 autopep8 1.6.0 pyhd3eb1b0_1 babel 2.9.1 pyhd3eb1b0_0 backcall 0.2.0 pyhd3eb1b0_0 backports 1.1 pyhd3eb1b0_0 backports.functools_lru_cache 1.6.4 pyhd3eb1b0_0 backports.tempfile 1.0 pyhd3eb1b0_1 backports.weakref 1.0.post1 py_1 bcrypt 3.2.0 py39h5eee18b_1 beautifulsoup4 4.11.1 py39h06a4308_0 binaryornot 0.4.4 pyhd3eb1b0_1 bitarray 2.5.1 py39h5eee18b_0 bkcharts 0.2 py39h06a4308_1 black 22.6.0 py39h06a4308_0 blas 1.0 mkl bleach 4.1.0 pyhd3eb1b0_0 blosc 1.21.0 h4ff587b_1 bokeh 2.4.3 py39h06a4308_0 boto3 1.24.28 py39h06a4308_0 botocore 1.27.28 py39h06a4308_0 bottleneck 1.3.5 py39h7deecbd_0 brotli 1.0.9 h5eee18b_7 brotli-bin 1.0.9 h5eee18b_7 brotlipy 0.7.0 py39h27cfd23_1003 brunsli 0.1 h2531618_0 bzip2 1.0.8 h7b6447c_0 c-ares 1.18.1 h7f8727e_0 ca-certificates 2022.07.19 h06a4308_0 certifi 2022.9.14 py39h06a4308_0 cffi 1.15.1 py39h74dc2b5_0 cfitsio 3.470 h5893167_7 chardet 4.0.0 py39h06a4308_1003 charls 2.2.0 h2531618_0 charset-normalizer 2.0.4 pyhd3eb1b0_0 click 8.0.4 py39h06a4308_0 cloudpickle 2.0.0 pyhd3eb1b0_0 clyent 1.2.2 py39h06a4308_1 colorama 0.4.5 py39h06a4308_0 colorcet 3.0.0 py39h06a4308_0 conda 22.9.0 py39h06a4308_0 conda-build 3.22.0 py39h06a4308_0 conda-content-trust 0.1.3 py39h06a4308_0 conda-env 2.6.0 1 conda-pack 0.6.0 pyhd3eb1b0_0 conda-package-handling 1.9.0 py39h5eee18b_0 conda-repo-cli 1.0.20 py39h06a4308_0 conda-token 0.4.0 pyhd3eb1b0_0 conda-verify 3.4.2 py_1 constantly 15.1.0 pyh2b92418_0 cookiecutter 1.7.3 pyhd3eb1b0_0 cryptography 37.0.1 py39h9ce1e76_0 cssselect 1.1.0 pyhd3eb1b0_0 curl 7.84.0 h5eee18b_0 cycler 0.11.0 pyhd3eb1b0_0 cython 0.29.32 py39h6a678d5_0 cytoolz 0.11.0 py39h27cfd23_0 daal4py 2021.6.0 py39h79cecc1_1 dal 2021.6.0 hdb19cb5_916 dask 2022.7.0 py39h06a4308_0 dask-core 2022.7.0 py39h06a4308_0 dataclasses 0.8 pyh6d0b6a4_7 datashader 0.14.1 py39h06a4308_0 datashape 0.5.4 py39h06a4308_1 dbus 1.13.18 hb2f20db_0 debugpy 1.5.1 py39h295c915_0 decorator 5.1.1 pyhd3eb1b0_0 defusedxml 0.7.1 pyhd3eb1b0_0 diff-match-patch 20200713 pyhd3eb1b0_0 dill 0.3.4 pyhd3eb1b0_0 distributed 2022.7.0 py39h06a4308_0 docutils 0.18.1 py39h06a4308_3 entrypoints 0.4 py39h06a4308_0 et_xmlfile 1.1.0 py39h06a4308_0 expat 2.4.9 h6a678d5_0 fftw 3.3.9 h27cfd23_1 filelock 3.6.0 pyhd3eb1b0_0 flake8 4.0.1 pyhd3eb1b0_1 flask 1.1.2 pyhd3eb1b0_0 fontconfig 2.13.1 h6c09931_0 fonttools 4.25.0 pyhd3eb1b0_0 freetype 2.11.0 h70c0345_0 fsspec 2022.7.1 py39h06a4308_0 future 0.18.2 py39h06a4308_1 gensim 4.1.2 py39h295c915_0 giflib 5.2.1 h7b6447c_0 glib 2.69.1 h4ff587b_1 glob2 0.7 pyhd3eb1b0_0 gmp 6.2.1 h295c915_3 gmpy2 2.1.2 py39heeb90bb_0 greenlet 1.1.1 py39h295c915_0 gst-plugins-base 1.14.0 h8213a91_2 gstreamer 1.14.0 h28cd5cc_2 h5py 3.7.0 py39h737f45e_0 hdf5 1.10.6 h3ffc7dd_1 heapdict 1.0.1 pyhd3eb1b0_0 holoviews 1.15.0 py39h06a4308_0 hvplot 0.8.0 py39h06a4308_0 hyperlink 21.0.0 pyhd3eb1b0_0 icu 58.2 he6710b0_3 idna 3.3 pyhd3eb1b0_0 imagecodecs 2021.8.26 py39hf0132c2_1 imageio 2.19.3 py39h06a4308_0 imagesize 1.4.1 py39h06a4308_0 importlib-metadata 4.11.3 py39h06a4308_0 importlib_metadata 4.11.3 hd3eb1b0_0 incremental 21.3.0 pyhd3eb1b0_0 inflection 0.5.1 py39h06a4308_0 iniconfig 1.1.1 pyhd3eb1b0_0 intake 0.6.5 pyhd3eb1b0_0 intel-openmp 2021.4.0 h06a4308_3561 intervaltree 3.1.0 pyhd3eb1b0_0 ipykernel 6.15.2 py39h06a4308_0 ipython 7.31.1 py39h06a4308_1 ipython_genutils 0.2.0 pyhd3eb1b0_1 ipywidgets 7.6.5 pyhd3eb1b0_1 isort 5.9.3 pyhd3eb1b0_0 itemadapter 0.3.0 pyhd3eb1b0_0 itemloaders 1.0.4 pyhd3eb1b0_1 itsdangerous 2.0.1 pyhd3eb1b0_0 jdcal 1.4.1 pyhd3eb1b0_0 jedi 0.18.1 py39h06a4308_1 jeepney 0.7.1 pyhd3eb1b0_0 jellyfish 0.9.0 py39h7f8727e_0 jinja2 2.11.3 pyhd3eb1b0_0 jinja2-time 0.2.0 pyhd3eb1b0_3 jmespath 0.10.0 pyhd3eb1b0_0 joblib 1.1.0 pyhd3eb1b0_0 jpeg 9e h7f8727e_0 jq 1.6 h27cfd23_1000 json5 0.9.6 pyhd3eb1b0_0 jsonschema 4.16.0 py39h06a4308_0 jupyter 1.0.0 py39h06a4308_8 jupyter_client 7.3.4 py39h06a4308_0 jupyter_console 6.4.3 pyhd3eb1b0_0 jupyter_core 4.11.1 py39h06a4308_0 jupyter_server 1.18.1 py39h06a4308_0 jupyterlab 3.4.4 py39h06a4308_0 jupyterlab_pygments 0.1.2 py_0 jupyterlab_server 2.10.3 pyhd3eb1b0_1 jupyterlab_widgets 1.0.0 pyhd3eb1b0_1 jxrlib 1.1 h7b6447c_2 keyring 23.4.0 py39h06a4308_0 kiwisolver 1.4.2 py39h295c915_0 krb5 1.19.2 hac12032_0 lazy-object-proxy 1.6.0 py39h27cfd23_0 lcms2 2.12 h3be6417_0 ld_impl_linux-64 2.38 h1181459_1 lerc 3.0 h295c915_0 libaec 1.0.4 he6710b0_1 libarchive 3.6.1 hab531cd_0 libbrotlicommon 1.0.9 h5eee18b_7 libbrotlidec 1.0.9 h5eee18b_7 libbrotlienc 1.0.9 h5eee18b_7 libclang 10.0.1 default_hb85057a_2 libcurl 7.84.0 h91b91d3_0 libdeflate 1.8 h7f8727e_5 libedit 3.1.20210910 h7f8727e_0 libev 4.33 h7f8727e_1 libevent 2.1.12 h8f2d780_0 libffi 3.3 he6710b0_2 libgcc-ng 11.2.0 h1234567_1 libgfortran-ng 11.2.0 h00389a5_1 libgfortran5 11.2.0 h1234567_1 libgomp 11.2.0 h1234567_1 libidn2 2.3.2 h7f8727e_0 liblief 0.11.5 h295c915_1 libllvm10 10.0.1 hbcb73fb_5 libllvm11 11.1.0 h9e868ea_5 libnghttp2 1.46.0 hce63b2e_0 libpng 1.6.37 hbc83047_0 libpq 12.9 h16c4e8d_3 libsodium 1.0.18 h7b6447c_0 libspatialindex 1.9.3 h2531618_0 libssh2 1.10.0 h8f2d780_0 libstdcxx-ng 11.2.0 h1234567_1 libtiff 4.4.0 hecacb30_0 libunistring 0.9.10 h27cfd23_0 libuuid 1.0.3 h7f8727e_2 libwebp 1.2.2 h55f646e_0 libwebp-base 1.2.2 h7f8727e_0 libxcb 1.15 h7f8727e_0 libxkbcommon 1.0.1 hfa300c1_0 libxml2 2.9.14 h74e7548_0 libxslt 1.1.35 h4e12654_0 libzopfli 1.0.3 he6710b0_0 llvmlite 0.38.0 py39h4ff587b_0 locket 1.0.0 py39h06a4308_0 lxml 4.9.1 py39h1edc446_0 lz4 3.1.3 py39h27cfd23_0 lz4-c 1.9.3 h295c915_1 lzo 2.10 h7b6447c_2 markdown 3.3.4 py39h06a4308_0 markupsafe 2.0.1 py39h27cfd23_0 matplotlib 3.5.2 py39h06a4308_0 matplotlib-base 3.5.2 py39hf590b9c_0 matplotlib-inline 0.1.6 py39h06a4308_0 mccabe 0.7.0 pyhd3eb1b0_0 mistune 0.8.4 py39h27cfd23_1000 mkl 2021.4.0 h06a4308_640 mkl-service 2.4.0 py39h7f8727e_0 mkl_fft 1.3.1 py39hd3c417c_0 mkl_random 1.2.2 py39h51133e4_0 mock 4.0.3 pyhd3eb1b0_0 mpc 1.1.0 h10f8cd9_1 mpfr 4.0.2 hb69a4c5_1 mpi 1.0 mpich mpich 3.3.2 external_0 mpmath 1.2.1 py39h06a4308_0 msgpack-python 1.0.3 py39hd09550d_0 multipledispatch 0.6.0 py39h06a4308_0 munkres 1.1.4 py_0 mypy_extensions 0.4.3 py39h06a4308_1 navigator-updater 0.3.0 py39h06a4308_0 nbclassic 0.3.5 pyhd3eb1b0_0 nbclient 0.5.13 py39h06a4308_0 nbconvert 6.4.4 py39h06a4308_0 nbformat 5.5.0 py39h06a4308_0 ncurses 6.3 h5eee18b_3 nest-asyncio 1.5.5 py39h06a4308_0 networkx 2.8.4 py39h06a4308_0 nltk 3.7 pyhd3eb1b0_0 nose 1.3.7 pyhd3eb1b0_1008 notebook 6.4.12 py39h06a4308_0 nspr 4.33 h295c915_0 nss 3.74 h0370c37_0 numba 0.55.1 py39h51133e4_0 numexpr 2.8.3 py39h807cd23_0 numpy 1.21.5 py39h6c91a56_3 numpy-base 1.21.5 py39ha15fc14_3 numpydoc 1.4.0 py39h06a4308_0 olefile 0.46 pyhd3eb1b0_0 oniguruma 6.9.7.1 h27cfd23_0 openjpeg 2.4.0 h3ad879b_0 openpyxl 3.0.10 py39h5eee18b_0 openssl 1.1.1q h7f8727e_0 packaging 21.3 pyhd3eb1b0_0 pandas 1.4.4 py39h6a678d5_0 pandocfilters 1.5.0 pyhd3eb1b0_0 panel 0.13.1 py39h06a4308_0 param 1.12.0 pyhd3eb1b0_0 parsel 1.6.0 py39h06a4308_0 parso 0.8.3 pyhd3eb1b0_0 partd 1.2.0 pyhd3eb1b0_1 patch 2.7.6 h7b6447c_1001 patchelf 0.13 h295c915_0 pathlib 1.0.1 pyhd3eb1b0_1 pathspec 0.9.0 py39h06a4308_0 patsy 0.5.2 py39h06a4308_1 pcre 8.45 h295c915_0 pep8 1.7.1 py39h06a4308_1 pexpect 4.8.0 pyhd3eb1b0_3 pickleshare 0.7.5 pyhd3eb1b0_1003 pillow 9.2.0 py39hace64e9_1 pip 22.3.1 pypi_0 pypi pkginfo 1.8.2 pyhd3eb1b0_0 platformdirs 2.5.2 py39h06a4308_0 plotly 5.9.0 py39h06a4308_0 pluggy 1.0.0 py39h06a4308_1 ply 3.11 py39h06a4308_0 poyo 0.5.0 pyhd3eb1b0_0 prometheus_client 0.14.1 py39h06a4308_0 prompt-toolkit 3.0.20 pyhd3eb1b0_0 prompt_toolkit 3.0.20 hd3eb1b0_0 protego 0.1.16 py_0 psutil 5.9.0 py39h5eee18b_0 ptyprocess 0.7.0 pyhd3eb1b0_2 py 1.11.0 pyhd3eb1b0_0 py-lief 0.11.5 py39h295c915_1 pyasn1 0.4.8 pyhd3eb1b0_0 pyasn1-modules 0.2.8 py_0 pycodestyle 2.8.0 pyhd3eb1b0_0 pycosat 0.6.3 py39h27cfd23_0 pycparser 2.21 pyhd3eb1b0_0 pyct 0.4.8 py39h06a4308_1 pycurl 7.45.1 py39h8f2d780_0 pydispatcher 2.0.5 py39h06a4308_2 pydocstyle 6.1.1 pyhd3eb1b0_0 pyerfa 2.0.0 py39h27cfd23_0 pyflakes 2.4.0 pyhd3eb1b0_0 pygments 2.11.2 pyhd3eb1b0_0 pyhamcrest 2.0.2 pyhd3eb1b0_2 pyjwt 2.4.0 py39h06a4308_0 pylint 2.14.5 py39h06a4308_0 pyls-spyder 0.4.0 pyhd3eb1b0_0 pyodbc 4.0.34 py39h6a678d5_0 pyopenssl 22.0.0 pyhd3eb1b0_0 pyparsing 3.0.9 py39h06a4308_0 pyqt 5.15.7 py39h6a678d5_1 pyqt5-sip 12.11.0 py39h6a678d5_1 pyqtwebengine 5.15.7 py39h6a678d5_1 pyrsistent 0.18.0 py39heee7806_0 pysocks 1.7.1 py39h06a4308_0 pytables 3.6.1 py39h77479fe_1 pytest 7.1.2 py39h06a4308_0 python 3.9.13 haa1d7c7_1 python-dateutil 2.8.2 pyhd3eb1b0_0 python-fastjsonschema 2.16.2 py39h06a4308_0 python-libarchive-c 2.9 pyhd3eb1b0_1 python-lsp-black 1.2.1 py39h06a4308_0 python-lsp-jsonrpc 1.0.0 pyhd3eb1b0_0 python-lsp-server 1.5.0 py39h06a4308_0 python-slugify 5.0.2 pyhd3eb1b0_0 python-snappy 0.6.0 py39h2531618_3 pytz 2022.1 py39h06a4308_0 pyviz_comms 2.0.2 pyhd3eb1b0_0 pywavelets 1.3.0 py39h7f8727e_0 pyxdg 0.27 pyhd3eb1b0_0 pyyaml 6.0 py39h7f8727e_1 pyzmq 23.2.0 py39h6a678d5_0 qdarkstyle 3.0.2 pyhd3eb1b0_0 qstylizer 0.1.10 pyhd3eb1b0_0 qt 5.15.9 h06a4308_0 qt-main 5.15.2 h327a75a_7 qt-webengine 5.15.9 hd2b0992_4 qtawesome 1.0.3 pyhd3eb1b0_0 qtconsole 5.3.2 py39h06a4308_0 qtpy 2.2.0 py39h06a4308_0 qtwebkit 5.212 h4eab89a_4 queuelib 1.5.0 py39h06a4308_0 readline 8.1.2 h7f8727e_1 regex 2022.7.9 py39h5eee18b_0 requests 2.28.1 py39h06a4308_0 requests-file 1.5.1 pyhd3eb1b0_0 ripgrep 13.0.0 hbdeaff8_0 rope 0.22.0 pyhd3eb1b0_0 rtree 0.9.7 py39h06a4308_1 ruamel_yaml 0.15.100 py39h27cfd23_0 s3transfer 0.6.0 py39h06a4308_0 scikit-image 0.19.2 py39h51133e4_0 scikit-learn 1.0.2 py39h51133e4_1 scikit-learn-intelex 2021.6.0 py39h06a4308_0 scipy 1.9.1 py39h14f4228_0 scrapy 2.6.2 py39h06a4308_0 seaborn 0.11.2 pyhd3eb1b0_0 secretstorage 3.3.1 py39h06a4308_0 send2trash 1.8.0 pyhd3eb1b0_1 service_identity 18.1.0 pyhd3eb1b0_1 setuptools 63.4.1 py39h06a4308_0 sip 6.6.2 py39h6a678d5_0 six 1.16.0 pyhd3eb1b0_1 smart_open 5.2.1 py39h06a4308_0 snappy 1.1.9 h295c915_0 sniffio 1.2.0 py39h06a4308_1 snowballstemmer 2.2.0 pyhd3eb1b0_0 sortedcollections 2.1.0 pyhd3eb1b0_0 sortedcontainers 2.4.0 pyhd3eb1b0_0 soupsieve 2.3.1 pyhd3eb1b0_0 sphinx 5.0.2 py39h06a4308_0 sphinxcontrib-applehelp 1.0.2 pyhd3eb1b0_0 sphinxcontrib-devhelp 1.0.2 pyhd3eb1b0_0 sphinxcontrib-htmlhelp 2.0.0 pyhd3eb1b0_0 sphinxcontrib-jsmath 1.0.1 pyhd3eb1b0_0 sphinxcontrib-qthelp 1.0.3 pyhd3eb1b0_0 sphinxcontrib-serializinghtml 1.1.5 pyhd3eb1b0_0 spyder 5.3.3 py39h06a4308_0 spyder-kernels 2.3.3 py39h06a4308_0 sqlalchemy 1.4.39 py39h5eee18b_0 sqlite 3.39.3 h5082296_0 statsmodels 0.13.2 py39h7f8727e_0 sympy 1.10.1 py39h06a4308_0 tabulate 0.8.10 py39h06a4308_0 tbb 2021.6.0 hdb19cb5_0 tbb4py 2021.6.0 py39hdb19cb5_0 tblib 1.7.0 pyhd3eb1b0_0 tenacity 8.0.1 py39h06a4308_1 terminado 0.13.1 py39h06a4308_0 testpath 0.6.0 py39h06a4308_0 text-unidecode 1.3 pyhd3eb1b0_0 textdistance 4.2.1 pyhd3eb1b0_0 threadpoolctl 2.2.0 pyh0d69192_0 three-merge 0.1.1 pyhd3eb1b0_0 tifffile 2021.7.2 pyhd3eb1b0_2 tinycss 0.4 pyhd3eb1b0_1002 tk 8.6.12 h1ccaba5_0 tldextract 3.2.0 pyhd3eb1b0_0 toml 0.10.2 pyhd3eb1b0_0 tomli 2.0.1 py39h06a4308_0 tomlkit 0.11.1 py39h06a4308_0 toolz 0.11.2 pyhd3eb1b0_0 tornado 6.1 py39h27cfd23_0 tqdm 4.64.1 py39h06a4308_0 traitlets 5.1.1 pyhd3eb1b0_0 twisted 22.2.0 py39h5eee18b_1 typing-extensions 4.3.0 py39h06a4308_0 typing_extensions 4.3.0 py39h06a4308_0 tzdata 2022c h04d1e81_0 ujson 5.4.0 py39h6a678d5_0 unidecode 1.2.0 pyhd3eb1b0_0 unixodbc 2.3.11 h5eee18b_0 urllib3 1.26.11 py39h06a4308_0 w3lib 1.21.0 pyhd3eb1b0_0 watchdog 2.1.6 py39h06a4308_0 wcwidth 0.2.5 pyhd3eb1b0_0 webencodings 0.5.1 py39h06a4308_1 websocket-client 0.58.0 py39h06a4308_4 werkzeug 2.0.3 pyhd3eb1b0_0 wget 1.21.3 h0b77cf5_0 whatthepatch 1.0.2 py39h06a4308_0 wheel 0.37.1 pyhd3eb1b0_0 widgetsnbextension 3.5.2 py39h06a4308_0 wrapt 1.14.1 py39h5eee18b_0 wurlitzer 3.0.2 py39h06a4308_0 xarray 0.20.1 pyhd3eb1b0_1 xlrd 2.0.1 pyhd3eb1b0_0 xlsxwriter 3.0.3 pyhd3eb1b0_0 xz 5.2.6 h5eee18b_0 yaml 0.2.5 h7b6447c_0 yapf 0.31.0 pyhd3eb1b0_0 zeromq 4.3.4 h2531618_0 zfp 0.5.5 h295c915_6 zict 2.1.0 py39h06a4308_0 zipp 3.8.0 py39h06a4308_0 zlib 1.2.12 h5eee18b_3 zope 1.0 py39h06a4308_1 zope.interface 5.4.0 py39h7f8727e_0 zstd 1.5.2 ha4553b6_0
@milesp-nvidia here is the results:
Click here to see environment details
**git*** Not inside a git repository ***OS Information*** DISTRIB_ID=Ubuntu DISTRIB_RELEASE=20.04 DISTRIB_CODENAME=focal DISTRIB_DESCRIPTION="Ubuntu 20.04.4 LTS" NAME="Ubuntu" VERSION="20.04.4 LTS (Focal Fossa)" ID=ubuntu ID_LIKE=debian PRETTY_NAME="Ubuntu 20.04.4 LTS" VERSION_ID="20.04" 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=focal UBUNTU_CODENAME=focal Linux a4ae1cb36c17 5.4.0-117-generic #132~18.04.1-Ubuntu SMP Thu Jun 2 23:36:48 UTC 2022 x86_64 x86_64 x86_64 GNU/Linux ***GPU Information*** Wed Jan 11 13:49:16 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 510.73.08 Driver Version: 510.73.08 CUDA Version: 11.6 | |-------------------------------+----------------------+----------------------+ | 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 GeForce ... Off | 00000000:02:00.0 On | N/A | | 32% 43C P8 18W / 250W | 648MiB / 11264MiB | 4% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ | 1 NVIDIA GeForce ... Off | 00000000:03:00.0 Off | N/A | | 29% 31C P8 9W / 250W | 11MiB / 11264MiB | 0% 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 Address sizes: 46 bits physical, 48 bits virtual 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: 79 Model name: Intel(R) Core(TM) i7-6850K CPU @ 3.60GHz Stepping: 1 CPU MHz: 1200.047 CPU max MHz: 4000.0000 CPU min MHz: 1200.0000 BogoMIPS: 7199.43 Virtualization: VT-x L1d cache: 192 KiB L1i cache: 192 KiB L2 cache: 1.5 MiB L3 cache: 15 MiB NUMA node0 CPU(s): 0-11 Vulnerability Itlb multihit: KVM: Mitigation: Split huge pages Vulnerability L1tf: Mitigation; PTE Inversion; VMX conditional cache flushes, SMT vulnerable Vulnerability Mds: Mitigation; Clear CPU buffers; SMT vulnerable Vulnerability Meltdown: Mitigation; PTI Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP conditional, RSB filling Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Mitigation; Clear CPU buffers; SMT vulnerable 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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx 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 intel_ppin ssbd ibrs ibpb stibp tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 hle avx2 smep bmi2 erms invpcid rtm cqm rdt_a rdseed adx smap intel_pt xsaveopt cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts md_clear flush_l1d ***CMake*** /opt/conda/bin/cmake cmake version 3.23.3 CMake suite maintained and supported by Kitware (kitware.com/cmake). ***g++*** /usr/bin/g++ g++ (Ubuntu 9.4.0-1ubuntu1~20.04.1) 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/cuda/bin/nvcc nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2022 NVIDIA Corporation Built on Wed_Jun__8_16:49:14_PDT_2022 Cuda compilation tools, release 11.7, V11.7.99 Build cuda_11.7.r11.7/compiler.31442593_0 ***Python*** /opt/conda/bin/python Python 3.8.13 ***Environment Variables*** PATH : /usr/local/nvm/versions/node/v16.15.1/bin:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/bin:/opt/conda/bin:/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin LD_LIBRARY_PATH : /opt/conda/lib/python3.8/site-packages/torch/lib:/opt/conda/lib/python3.8/site-packages/torch_tensorrt/lib:/usr/local/cuda/compat/lib:/usr/local/nvidia/lib:/usr/local/nvidia/lib64 NUMBAPRO_NVVM : NUMBAPRO_LIBDEVICE : CONDA_PREFIX : PYTHON_PATH : ***conda packages*** /opt/conda/bin/conda # packages in environment at /opt/conda: # # Name Version Build Channel _libgcc_mutex 0.1 conda_forge conda-forge _openmp_mutex 4.5 2_kmp_llvm conda-forge absl-py 1.2.0 pypi_0 pypi aiohttp 3.8.3 pypi_0 pypi aiosignal 1.3.1 pypi_0 pypi alabaster 0.7.12 pypi_0 pypi anyio 3.6.2 pypi_0 pypi apex 0.1 pypi_0 pypi appdirs 1.4.4 pypi_0 pypi argon2-cffi 21.3.0 pypi_0 pypi argon2-cffi-bindings 21.2.0 pypi_0 pypi asttokens 2.0.5 pyhd8ed1ab_0 conda-forge async-property 0.2.1 pypi_0 pypi async-timeout 4.0.2 pypi_0 pypi attrs 22.1.0 pypi_0 pypi audioread 2.1.9 pypi_0 pypi babel 2.10.3 pypi_0 pypi backcall 0.2.0 pyh9f0ad1d_0 conda-forge backports 1.0 py_2 conda-forge backports.functools_lru_cache 1.6.4 pyhd8ed1ab_0 conda-forge beautifulsoup4 4.11.1 pyha770c72_0 conda-forge bleach 5.0.1 pypi_0 pypi brotlipy 0.7.0 py38h0a891b7_1004 conda-forge bzip2 1.0.8 h7f98852_4 conda-forge c-ares 1.18.1 h7f98852_0 conda-forge ca-certificates 2022.6.15 ha878542_0 conda-forge cachetools 5.2.0 pypi_0 pypi catalogue 2.0.6 py38h578d9bd_2 conda-forge certifi 2022.6.15 py38h578d9bd_0 conda-forge cffi 1.15.1 py38h4a40e3a_0 conda-forge chardet 5.0.0 py38h578d9bd_0 conda-forge charset-normalizer 2.1.0 pyhd8ed1ab_0 conda-forge click 8.0.4 pypi_0 pypi cloudpickle 2.1.0 pypi_0 pypi cmake 3.23.3 h5432695_0 conda-forge codecov 2.1.12 pypi_0 pypi colorama 0.4.5 pyhd8ed1ab_0 conda-forge conda 4.13.0 py38h578d9bd_1 conda-forge conda-build 3.21.9 py38h578d9bd_1 conda-forge conda-package-handling 1.8.1 py38h0a891b7_1 conda-forge coverage 6.4.2 pypi_0 pypi cryptography 37.0.4 py38h2b5fc30_0 conda-forge cuda-python 11.6.0 pypi_0 pypi cudf 22.6.0a0+319.g97422602b8 pypi_0 pypi cugraph 22.6.0a0+114.gc6bc8867 pypi_0 pypi cuml 22.6.0a0+71.g59a124168 pypi_0 pypi cupy-cuda115 10.5.0 pypi_0 pypi cycler 0.11.0 pypi_0 pypi cymem 2.0.6 py38hfa26641_3 conda-forge cython 0.29.32 pypi_0 pypi cython-bbox 0.1.3 dev_0 <develop> cython-blis 0.7.8 py38h71d37f0_0 conda-forge dask 2022.5.2 pypi_0 pypi dask-cuda 22.6.0 pypi_0 pypi dask-cudf 22.6.0a0+319.g97422602b8 pypi_0 pypi dataclasses 0.8 pyhc8e2a94_3 conda-forge debugpy 1.6.2 pypi_0 pypi decorator 5.1.1 pyhd8ed1ab_0 conda-forge defusedxml 0.7.1 pypi_0 pypi distributed 2022.5.2 pypi_0 pypi docutils 0.17.1 pypi_0 pypi easydict 1.10 pypi_0 pypi entrypoints 0.3 pypi_0 pypi executing 0.9.1 pyhd8ed1ab_0 conda-forge expat 2.4.8 h27087fc_0 conda-forge expecttest 0.1.3 pypi_0 pypi fastapi 0.88.0 pypi_0 pypi fastjsonschema 2.16.1 pypi_0 pypi fastrlock 0.8 pypi_0 pypi filelock 3.7.1 pyhd8ed1ab_0 conda-forge flake8 3.7.9 pypi_0 pypi flask 2.2.1 pypi_0 pypi fonttools 4.34.4 pypi_0 pypi frozenlist 1.3.3 pypi_0 pypi fsspec 2022.7.1 pypi_0 pypi future 0.18.2 pypi_0 pypi glob2 0.7 py_0 conda-forge google-auth 2.9.1 pypi_0 pypi google-auth-oauthlib 0.4.6 pypi_0 pypi graphsurgeon 0.4.6 pypi_0 pypi grpcio 1.47.0 pypi_0 pypi h11 0.14.0 pypi_0 pypi heapdict 1.0.1 pypi_0 pypi hypothesis 4.50.8 pypi_0 pypi icu 70.1 h27087fc_0 conda-forge idna 3.3 pyhd8ed1ab_0 conda-forge imagesize 1.4.1 pypi_0 pypi importlib-metadata 4.12.0 pypi_0 pypi importlib-resources 5.9.0 pypi_0 pypi iniconfig 1.1.1 pypi_0 pypi iopath 0.1.10 pypi_0 pypi ipykernel 6.15.1 pypi_0 pypi ipython 8.4.0 py38h578d9bd_0 conda-forge ipython-genutils 0.2.0 pypi_0 pypi itsdangerous 2.1.2 pypi_0 pypi jedi 0.18.1 py38h578d9bd_1 conda-forge jinja2 3.1.2 pyhd8ed1ab_1 conda-forge joblib 1.1.0 pypi_0 pypi json5 0.9.9 pypi_0 pypi jsonpatch 1.32 pypi_0 pypi jsonpointer 2.3 pypi_0 pypi jsonschema 4.9.1 pypi_0 pypi jupyter-client 7.3.4 pypi_0 pypi jupyter-core 4.11.1 pypi_0 pypi jupyter-tensorboard 0.2.0 pypi_0 pypi jupyterlab 2.3.2 pypi_0 pypi jupyterlab-pygments 0.2.2 pypi_0 pypi jupyterlab-server 1.2.0 pypi_0 pypi jupytext 1.14.1 pypi_0 pypi keyutils 1.6.1 h166bdaf_0 conda-forge kiwisolver 1.4.4 pypi_0 pypi krb5 1.19.3 h3790be6_0 conda-forge langcodes 3.3.0 pyhd8ed1ab_0 conda-forge lap 0.4.0 pypi_0 pypi ld_impl_linux-64 2.36.1 hea4e1c9_2 conda-forge libarchive 3.5.2 hb890918_3 conda-forge libblas 3.9.0 15_linux64_openblas conda-forge libcblas 3.9.0 15_linux64_openblas conda-forge libcurl 7.83.1 h7bff187_0 conda-forge libedit 3.1.20191231 he28a2e2_2 conda-forge libev 4.33 h516909a_1 conda-forge libffi 3.4.2 h7f98852_5 conda-forge libgcc-ng 12.1.0 h8d9b700_16 conda-forge libgfortran-ng 12.1.0 h69a702a_16 conda-forge libgfortran5 12.1.0 hdcd56e2_16 conda-forge libgomp 12.1.0 h8d9b700_16 conda-forge libiconv 1.16 h516909a_0 conda-forge liblapack 3.9.0 15_linux64_openblas conda-forge liblief 0.11.5 h9c3ff4c_1 conda-forge libllvm10 10.0.1 he513fc3_3 conda-forge libnghttp2 1.47.0 h727a467_0 conda-forge libnsl 2.0.0 h7f98852_0 conda-forge libopenblas 0.3.20 pthreads_h78a6416_1 conda-forge librosa 0.9.2 pypi_0 pypi libssh2 1.10.0 ha56f1ee_2 conda-forge libstdcxx-ng 12.1.0 ha89aaad_16 conda-forge libuuid 2.32.1 h7f98852_1000 conda-forge libuv 1.44.2 h166bdaf_0 conda-forge libxml2 2.9.14 h22db469_3 conda-forge libzlib 1.2.12 h166bdaf_2 conda-forge llvm-openmp 14.0.4 he0ac6c6_0 conda-forge llvmlite 0.39.0 pypi_0 pypi lmdb 1.3.0 pypi_0 pypi locket 1.0.0 pypi_0 pypi lz4-c 1.9.3 h9c3ff4c_1 conda-forge lzo 2.10 h516909a_1000 conda-forge markdown 3.4.1 pypi_0 pypi markdown-it-py 2.1.0 pypi_0 pypi markupsafe 2.1.1 py38h0a891b7_1 conda-forge matplotlib 3.5.2 pypi_0 pypi matplotlib-inline 0.1.3 pyhd8ed1ab_0 conda-forge mccabe 0.6.1 pypi_0 pypi mdit-py-plugins 0.3.0 pypi_0 pypi mdurl 0.1.1 pypi_0 pypi mistune 0.8.4 pypi_0 pypi mkl 2020.4 h726a3e6_304 conda-forge mkl-include 2020.4 h726a3e6_304 conda-forge mock 4.0.3 py38h578d9bd_3 conda-forge msgpack 1.0.4 pypi_0 pypi multidict 6.0.4 pypi_0 pypi murmurhash 1.0.7 py38hfa26641_0 conda-forge nbclient 0.6.6 pypi_0 pypi nbconvert 6.5.0 pypi_0 pypi nbformat 5.4.0 pypi_0 pypi ncurses 6.3 h27087fc_1 conda-forge nest-asyncio 1.5.5 pypi_0 pypi networkx 2.6.3 pypi_0 pypi ninja 1.11.0 h924138e_0 conda-forge nltk 3.7 pypi_0 pypi notebook 6.4.10 pypi_0 pypi numba 0.56.0 pypi_0 pypi numpy 1.22.4 py38h99721a1_0 conda-forge nvcv-python 0.2.0a0 pypi_0 pypi nvidia-dali-cuda110 1.16.0 pypi_0 pypi nvidia-pyindex 1.0.9 pypi_0 pypi nvtx 0.2.5 pypi_0 pypi oauthlib 3.2.0 pypi_0 pypi onnx 1.12.0 pypi_0 pypi openblas 0.3.20 pthreads_h320a7e8_1 conda-forge openssl 1.1.1q h166bdaf_0 conda-forge packaging 21.3 pyhd8ed1ab_0 conda-forge pandas 1.4.3 pypi_0 pypi pandocfilters 1.5.0 pypi_0 pypi parso 0.8.3 pyhd8ed1ab_0 conda-forge partd 1.2.0 pypi_0 pypi patch 2.7.6 h7f98852_1002 conda-forge patchelf 0.15.0 h58526e2_0 conda-forge pathy 0.6.2 pyhd8ed1ab_0 conda-forge pexpect 4.8.0 pyh9f0ad1d_2 conda-forge pickleshare 0.7.5 py_1003 conda-forge pillow 9.0.1 pypi_0 pypi pip 21.2.4 pyhd8ed1ab_0 conda-forge pkginfo 1.8.3 pyhd8ed1ab_0 conda-forge pkgutil-resolve-name 1.3.10 pypi_0 pypi pluggy 1.0.0 pypi_0 pypi polygraphy 0.33.0 pypi_0 pypi pooch 1.6.0 pypi_0 pypi portalocker 2.5.1 pypi_0 pypi preshed 3.0.6 py38hfa26641_2 conda-forge prettytable 3.3.0 pypi_0 pypi prometheus-client 0.14.1 pypi_0 pypi prompt-toolkit 3.0.30 pyha770c72_0 conda-forge protobuf 3.20.1 pypi_0 pypi psutil 5.9.1 py38h0a891b7_0 conda-forge ptyprocess 0.7.0 pyhd3deb0d_0 conda-forge pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge py 1.11.0 pypi_0 pypi py-lief 0.11.5 py38h709712a_1 conda-forge pyarrow 7.0.0 pypi_0 pypi pyasn1 0.4.8 pypi_0 pypi pyasn1-modules 0.2.8 pypi_0 pypi pybind11 2.10.0 pypi_0 pypi pycocotools 2.0+nv0.6.0 pypi_0 pypi pycodestyle 2.5.0 pypi_0 pypi pycosat 0.6.3 py38h0a891b7_1010 conda-forge pycparser 2.21 pyhd8ed1ab_0 conda-forge pydantic 1.9.1 py38h0a891b7_0 conda-forge pydot 1.4.2 pypi_0 pypi pyflakes 2.1.1 pypi_0 pypi pygments 2.12.0 pyhd8ed1ab_0 conda-forge pylibcugraph 22.6.0a0+114.gc6bc8867 pypi_0 pypi pynvml 11.4.1 pypi_0 pypi pyopenssl 22.0.0 pyhd8ed1ab_0 conda-forge pyparsing 3.0.9 pyhd8ed1ab_0 conda-forge pyrsistent 0.18.1 pypi_0 pypi pysocks 1.7.1 py38h578d9bd_5 conda-forge pytest 6.2.5 pypi_0 pypi pytest-cov 3.0.0 pypi_0 pypi pytest-pythonpath 0.7.4 pypi_0 pypi python 3.8.13 h582c2e5_0_cpython conda-forge python-dateutil 2.8.2 pypi_0 pypi python-hostlist 1.21 pypi_0 pypi python-libarchive-c 4.0 py38h578d9bd_1 conda-forge python-nvd3 0.15.0 pypi_0 pypi python-slugify 6.1.2 pypi_0 pypi python_abi 3.8 2_cp38 conda-forge pytorch-quantization 2.1.2 pypi_0 pypi pytz 2022.1 pyhd8ed1ab_0 conda-forge pyyaml 6.0 py38h0a891b7_4 conda-forge pyzmq 23.2.0 pypi_0 pypi raft 22.6.0a0+85.g3e5a625 pypi_0 pypi readline 8.1.2 h0f457ee_0 conda-forge redis 4.4.0 pypi_0 pypi regex 2022.7.25 pypi_0 pypi requests 2.28.1 pyhd8ed1ab_0 conda-forge requests-oauthlib 1.3.1 pypi_0 pypi resampy 0.3.1 pypi_0 pypi retrying-async 1.1.0 pypi_0 pypi revtok 0.0.3 pypi_0 pypi rhash 1.4.3 h166bdaf_0 conda-forge ripgrep 13.0.0 h2f28480_2 conda-forge rmm 22.6.0a0+76.g185c18e6 pypi_0 pypi rsa 4.9 pypi_0 pypi ruamel_yaml 0.15.80 py38h0a891b7_1007 conda-forge sacremoses 0.0.53 pypi_0 pypi scikit-learn 0.24.2 pypi_0 pypi scipy 1.6.3 py38h7b17777_0 conda-forge seaborn 0.12.1 pypi_0 pypi send2trash 1.8.0 pypi_0 pypi setuptools 59.5.0 py38h578d9bd_0 conda-forge shellingham 1.4.0 pyh44b312d_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge smart_open 5.2.1 pyhd8ed1ab_0 conda-forge sniffio 1.3.0 pypi_0 pypi snowballstemmer 2.2.0 pypi_0 pypi sortedcontainers 2.4.0 pypi_0 pypi soundfile 0.10.3.post1 pypi_0 pypi soupsieve 2.3.2.post1 pyhd8ed1ab_0 conda-forge spacy 3.4.1 py38h514daf8_0 conda-forge spacy-legacy 3.0.9 pyhd8ed1ab_0 conda-forge spacy-loggers 1.0.2 pyhd8ed1ab_0 conda-forge sphinx 5.1.1 pypi_0 pypi sphinx-glpi-theme 0.3 pypi_0 pypi sphinx-rtd-theme 1.0.0 pypi_0 pypi sphinxcontrib-applehelp 1.0.2 pypi_0 pypi sphinxcontrib-devhelp 1.0.2 pypi_0 pypi sphinxcontrib-htmlhelp 2.0.0 pypi_0 pypi sphinxcontrib-jsmath 1.0.1 pypi_0 pypi sphinxcontrib-qthelp 1.0.3 pypi_0 pypi sphinxcontrib-serializinghtml 1.1.5 pypi_0 pypi sqlite 3.39.2 h4ff8645_0 conda-forge srsly 2.4.4 py38hfa26641_0 conda-forge stack_data 0.3.0 pyhd8ed1ab_0 conda-forge starlette 0.22.0 pypi_0 pypi tabulate 0.8.10 pypi_0 pypi tblib 1.7.0 pypi_0 pypi tensorboard 2.9.1 pypi_0 pypi tensorboard-data-server 0.6.1 pypi_0 pypi tensorboard-plugin-wit 1.8.1 pypi_0 pypi tensorrt 8.4.2.4 pypi_0 pypi terminado 0.15.0 pypi_0 pypi text-unidecode 1.3 pypi_0 pypi thinc 8.1.0 py38h514daf8_0 conda-forge threadpoolctl 3.1.0 pypi_0 pypi tinycss2 1.1.1 pypi_0 pypi tk 8.6.12 h27826a3_0 conda-forge toml 0.10.2 pypi_0 pypi tomli 2.0.1 pypi_0 pypi toolz 0.12.0 pypi_0 pypi torch 1.13.0a0+d321be6 pypi_0 pypi torch-tensorrt 1.2.0a0 pypi_0 pypi torchnvjpeg 0.1.0 pypi_0 pypi torchtext 0.11.0a0 pypi_0 pypi torchvision 0.14.0a0 pypi_0 pypi tornado 6.2 pypi_0 pypi tqdm 4.64.0 pyhd8ed1ab_0 conda-forge traitlets 5.3.0 pyhd8ed1ab_0 conda-forge treelite 2.4.0 pypi_0 pypi treelite-runtime 2.4.0 pypi_0 pypi typer 0.4.2 pyhd8ed1ab_0 conda-forge typing-extensions 4.3.0 hd8ed1ab_0 conda-forge typing_extensions 4.3.0 pyha770c72_0 conda-forge tzdata 2022a h191b570_0 conda-forge ucx-py 0.26.0a0+19.g1b942b8 pypi_0 pypi uff 0.6.9 pypi_0 pypi urllib3 1.26.11 pyhd8ed1ab_0 conda-forge uvicorn 0.20.0 pypi_0 pypi visdom 0.2.3 pypi_0 pypi wasabi 0.10.0 pyhd8ed1ab_0 conda-forge wcwidth 0.2.5 pyh9f0ad1d_2 conda-forge webencodings 0.5.1 pypi_0 pypi websocket-client 1.4.2 pypi_0 pypi werkzeug 2.2.1 pypi_0 pypi wheel 0.37.1 pyhd8ed1ab_0 conda-forge xgboost 1.6.1 pypi_0 pypi xz 5.2.5 h516909a_1 conda-forge yaml 0.2.5 h7f98852_2 conda-forge yarl 1.8.2 pypi_0 pypi zict 2.2.0 pypi_0 pypi zipp 3.8.1 pypi_0 pypi zlib 1.2.12 h166bdaf_2 conda-forge zstd 1.5.2 h8a70e8d_2 conda-forge
@milesp-nvidia We too face the same problem while testing the cropandresize application from the samples. Got the binary built. Imported the paths for the cvcuda .so files. Execution works fine till NVdecoder.
Following is the error being faced.
Hardware Decoder not supported. Falling back to default backend Processing: ../../assets/images/tabby_tiger_cat.jpg Processing: ../../assets/images/peoplenet.jpg Total decoding time: 0.00756531 (s) Avg decoding time per image: 0.00378266 (s) Avg images per sec: 264.365 Avg decoding time per batch: 0.00756531 (s) Line 62: '' failed: no kernel image is available for execution on the device Aborted (core dumped)
Any way to test a single cvcuda operation. Want to check the build and use the operations of CVCUDA. Thanks
Attaching the environment details for information:
`Click here to see environment details
**git***
commit f6ba577eba0d8e15a38c33ff5db265354caf92ad (HEAD, tag: v0.3.0-beta, origin/main, tags, tag, main)
Author: Miles Price <[email protected]>
Date: Thu May 4 12:23:44 2023 -0700
fix: missing model code for CV-CUDA Release 0.3.0 Beta
**git submodules***
ca4d00ad3e2e0f410eeab3264d21b8a39397f362 3rdparty/dlpack (v0.8-1-gca4d00a)
5ab508a01f9eb089207ee87fd547d290da39d015 3rdparty/googletest (release-1.8.0-3127-g5ab508a0)
0694ec6a15863bff2e0ea5efe07c78de39b9a33c 3rdparty/pybind11 (v2.10.2)
***OS Information***
DISTRIB_ID=Ubuntu
DISTRIB_RELEASE=22.04
DISTRIB_CODENAME=jammy
DISTRIB_DESCRIPTION="Ubuntu 22.04.2 LTS"
PRETTY_NAME="Ubuntu 22.04.2 LTS"
NAME="Ubuntu"
VERSION_ID="22.04"
VERSION="22.04.2 LTS (Jammy Jellyfish)"
VERSION_CODENAME=jammy
ID=ubuntu
ID_LIKE=debian
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"
UBUNTU_CODENAME=jammy
Linux 708c8205dcfe 5.15.0-71-generic #78~20.04.1-Ubuntu SMP Wed Apr 19 11:26:48 UTC 2023 x86_64 x86_64 x86_64 GNU/Linux
***GPU Information***
Wed May 17 04:19:07 2023
+---------------------------------------------------------------------------------------+
| NVIDIA-SMI 530.30.02 Driver Version: 530.30.02 CUDA Version: 12.1 |
|-----------------------------------------+----------------------+----------------------+
| 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 TITAN X (Pascal) On | 00000000:06:00.0 Off | N/A |
| 23% 30C P8 8W / 250W| 6MiB / 12288MiB | 0% 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
Address sizes: 39 bits physical, 48 bits virtual
Byte Order: Little Endian
CPU(s): 4
On-line CPU(s) list: 0-3
Vendor ID: GenuineIntel
Model name: Intel(R) Core(TM) i5-4440 CPU @ 3.10GHz
CPU family: 6
Model: 60
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Stepping: 3
CPU max MHz: 3300.0000
CPU min MHz: 800.0000
BogoMIPS: 6196.23
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 arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm cpuid_fault epb invpcid_single pti ssbd ibrs ibpb stibp fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid xsaveopt dtherm ida arat pln pts md_clear flush_l1d
L1d cache: 128 KiB (4 instances)
L1i cache: 128 KiB (4 instances)
L2 cache: 1 MiB (4 instances)
L3 cache: 6 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-3
Vulnerability Itlb multihit: KVM: Mitigation: VMX unsupported
Vulnerability L1tf: Mitigation; PTE Inversion
Vulnerability Mds: Mitigation; Clear CPU buffers; SMT disabled
Vulnerability Meltdown: Mitigation; PTI
Vulnerability Mmio stale data: Unknown: No mitigations
Vulnerability Retbleed: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Retpolines, IBPB conditional, IBRS_FW, STIBP disabled, RSB filling, PBRSB-eIBRS Not affected
Vulnerability Srbds: Mitigation; Microcode
Vulnerability Tsx async abort: Not affected
***CMake***
/usr/local/bin/cmake
cmake version 3.26.3
CMake suite maintained and supported by Kitware (kitware.com/cmake).
***g++***
/usr/bin/g++
g++ (Ubuntu 11.3.0-1ubuntu1~22.04) 11.3.0
Copyright (C) 2021 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 (R) Cuda compiler driver
Copyright (c) 2005-2023 NVIDIA Corporation
Built on Tue_Feb__7_19:32:13_PST_2023
Cuda compilation tools, release 12.1, V12.1.66
Build cuda_12.1.r12.1/compiler.32415258_0
***Python***
***Environment Variables***
PATH : /usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin
LD_LIBRARY_PATH : /usr/local/nvidia/lib:/usr/local/nvidia/lib64
NUMBAPRO_NVVM :
NUMBAPRO_LIBDEVICE :
CONDA_PREFIX :
PYTHON_PATH :
conda not found
***pip packages***
/usr/bin/pip
Package Version
------------------------ ----------
cfgv 3.3.1
cmake 3.26.3
distlib 0.3.4
filelock 3.6.0
identify 2.4.10
importlib-metadata 4.6.4
Jinja2 3.1.2
lit 16.0.3
MarkupSafe 2.1.2
more-itertools 8.10.0
mpmath 1.3.0
networkx 3.1
nodeenv 0.13.4
numpy 1.24.3
nvidia-cublas-cu11 11.10.3.66
nvidia-cuda-cupti-cu11 11.7.101
nvidia-cuda-nvrtc-cu11 11.7.99
nvidia-cuda-runtime-cu11 11.7.99
nvidia-cudnn-cu11 8.5.0.96
nvidia-cufft-cu11 10.9.0.58
nvidia-curand-cu11 10.2.10.91
nvidia-cusolver-cu11 11.4.0.1
nvidia-cusparse-cu11 11.7.4.91
nvidia-nccl-cu11 2.14.3
nvidia-nvtx-cu11 11.7.91
pip 22.0.2
platformdirs 2.5.1
pre-commit 2.17.0
PyYAML 5.4.1
setuptools 59.6.0
six 1.16.0
sympy 1.12
toml 0.10.2
torch 2.0.1
triton 2.0.0
typing_extensions 4.5.0
virtualenv 20.13.0+ds
wheel 0.37.1
zipp 1.0.0
`
I tried both on GPU 1070 and 3090 with the same CUDA version 11.7, but it only works on the 3090. So, I think cv-cuda is not compatible with the 1070 or other GPUs released around the same time.
I tried both on GPU 1070 and 3090 with the same CUDA version 11.7, but it only works on the 3090. So, I think cv-cuda is not compatible with the 1070 or other GPUs released around the same time.
The compute capability of 10 series or titan X is 6.1, see here we can see cvcuda is only compiled for the devices whose cc>=7.0, see here
maybe you can add 61-real to fix it, but I'm not sure if there are any feature only supported by the devices whose cc >= 7.0
E.g.
list(APPEND CMAKE_CUDA_ARCHITECTURES
61-real
70-real # Volta - gv100/Tesla
75-real # Turing - tu10x/GeForce
80-real # Ampere - ga100/Tesla
86-real # Ampere - ga10x/GeForce
)
Hi, In recent testing we didn't encounter this issue. Please open a new issue with additional details.
I tried both on GPU 1070 and 3090 with the same CUDA version 11.7, but it only works on the 3090. So, I think cv-cuda is not compatible with the 1070 or other GPUs released around the same time.
The compute capability of 10 series or titan X is 6.1, see here we can see cvcuda is only compiled for the devices whose cc>=7.0, see here
maybe you can add
61-realto fix it, but I'm not sure if there are any feature only supported by the devices whose cc >= 7.0 E.g.list(APPEND CMAKE_CUDA_ARCHITECTURES 61-real 70-real # Volta - gv100/Tesla 75-real # Turing - tu10x/GeForce 80-real # Ampere - ga100/Tesla 86-real # Ampere - ga10x/GeForce )
That's right. In order to provide a reference for those who encounter this issue again， I modified a version for Pascal(SM>=6.1) https://github.com/torchpipe/CV-CUDA
