CUDA error: no kernel image is available for execution on the device

 ## pytorch reinstall

(keras) [min@ai grecognition]$ conda uninstall pytorch Collecting package metadata (repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.10.3 latest version: 4.13.0 Please update conda by running $ conda update -n base -c defaults conda ## Package Plan ## environment location: /home/min/anaconda3/envs/keras removed specs: - pytorch The following packages will be downloaded: package | build ---------------------------|----------------- debugpy-1.5.1 | py37h295c915_0 1.7 MB entrypoints-0.4 | py37h06a4308_0 16 KB ipython-7.31.1 | py37h06a4308_0 1013 KB jedi-0.18.1 | py37h06a4308_1 980 KB jupyter_client-7.2.2 | py37h06a4308_0 190 KB jupyter_core-4.10.0 | py37h06a4308_0 75 KB nest-asyncio-1.5.5 | py37h06a4308_0 16 KB psutil-5.9.0 | py37h5eee18b_0 328 KB pyzmq-22.3.0 | py37h295c915_2 465 KB ------------------------------------------------------------ Total: 4.7 MB The following packages will be REMOVED: backports-1.0-py_2 backports.functools_lru_cache-1.6.4-pyhd8ed1ab_0 blas-1.0-mkl brotlipy-0.7.0-py37h27cfd23_1003 bzip2-1.0.8-h7b6447c_0 cffi-1.15.0-py37hd667e15_1 charset-normalizer-2.0.4-pyhd3eb1b0_0 cryptography-37.0.1-py37h9ce1e76_0 ffmpeg-4.3-hf484d3e_0 freetype-2.11.0-h70c0345_0 giflib-5.2.1-h7b6447c_0 gmp-6.2.1-h295c915_3 gnutls-3.6.15-he1e5248_0 idna-3.3-pyhd3eb1b0_0 intel-openmp-2021.4.0-h06a4308_3561 jpeg-9e-h7f8727e_0 lame-3.100-h7b6447c_0 lcms2-2.12-h3be6417_0 libiconv-1.16-h7f8727e_2 libidn2-2.3.2-h7f8727e_0 libpng-1.6.37-hbc83047_0 libtasn1-4.16.0-h27cfd23_0 libtiff-4.2.0-h2818925_1 libunistring-0.9.10-h27cfd23_0 libwebp-1.2.2-h55f646e_0 libwebp-base-1.2.2-h7f8727e_0 lz4-c-1.9.3-h295c915_1 mkl-2021.4.0-h06a4308_640 mkl-service-2.4.0-py37h7f8727e_0 mkl_fft-1.3.1-py37hd3c417c_0 mkl_random-1.2.2-py37h51133e4_0 nettle-3.7.3-hbbd107a_1 numpy-1.21.5-py37h6c91a56_3 numpy-base-1.21.5-py37ha15fc14_3 openh264-2.1.1-h4ff587b_0 pillow-9.0.1-py37h22f2fdc_0 pycparser-2.21-pyhd3eb1b0_0 pyopenssl-22.0.0-pyhd3eb1b0_0 pysocks-1.7.1-py37_1 python_abi-3.7-2_cp37m pytorch-1.12.0-py3.7_cpu_0 pytorch-mutex-1.0-cpu requests-2.28.0-py37h06a4308_0 torchaudio-0.12.0-py37_cpu torchvision-0.13.0-py37_cpu typing_extensions-4.1.1-pyh06a4308_0 urllib3-1.26.9-py37h06a4308_0 zstd-1.5.2-ha4553b6_0 The following packages will be UPDATED: jupyter_client conda-forge/noarch::jupyter_client-7.~ --> pkgs/main/linux-64::jupyter_client-7.2.2-py37h06a4308_0 pexpect conda-forge::pexpect-4.8.0-pyh9f0ad1d~ --> pkgs/main::pexpect-4.8.0-pyhd3eb1b0_3 ptyprocess conda-forge::ptyprocess-0.7.0-pyhd3de~ --> pkgs/main::ptyprocess-0.7.0-pyhd3eb1b0_2 pyzmq conda-forge::pyzmq-19.0.2-py37hac76be~ --> pkgs/main::pyzmq-22.3.0-py37h295c915_2 six conda-forge::six-1.16.0-pyh6c4a22f_0 --> pkgs/main::six-1.16.0-pyhd3eb1b0_1 The following packages will be SUPERSEDED by a higher-priority channel: backcall conda-forge::backcall-0.2.0-pyh9f0ad1~ --> pkgs/main::backcall-0.2.0-pyhd3eb1b0_0 ca-certificates conda-forge::ca-certificates-2022.6.1~ --> pkgs/main::ca-certificates-2022.4.26-h06a4308_0 debugpy conda-forge::debugpy-1.6.0-py37hd23a5~ --> pkgs/main::debugpy-1.5.1-py37h295c915_0 decorator conda-forge::decorator-5.1.1-pyhd8ed1~ --> pkgs/main::decorator-5.1.1-pyhd3eb1b0_0 entrypoints conda-forge/noarch::entrypoints-0.4-p~ --> pkgs/main/linux-64::entrypoints-0.4-py37h06a4308_0 ipython conda-forge::ipython-7.33.0-py37h89c1~ --> pkgs/main::ipython-7.31.1-py37h06a4308_0 jedi conda-forge::jedi-0.18.1-py37h89c1867~ --> pkgs/main::jedi-0.18.1-py37h06a4308_1 jupyter_core conda-forge::jupyter_core-4.10.0-py37~ --> pkgs/main::jupyter_core-4.10.0-py37h06a4308_0 libsodium conda-forge::libsodium-1.0.18-h36c2ea~ --> pkgs/main::libsodium-1.0.18-h7b6447c_0 matplotlib-inline conda-forge::matplotlib-inline-0.1.3-~ --> pkgs/main::matplotlib-inline-0.1.2-pyhd3eb1b0_2 nest-asyncio conda-forge/noarch::nest-asyncio-1.5.~ --> pkgs/main/linux-64::nest-asyncio-1.5.5-py37h06a4308_0 packaging conda-forge::packaging-21.3-pyhd8ed1a~ --> pkgs/main::packaging-21.3-pyhd3eb1b0_0 parso conda-forge::parso-0.8.3-pyhd8ed1ab_0 --> pkgs/main::parso-0.8.3-pyhd3eb1b0_0 pickleshare conda-forge::pickleshare-0.7.5-py_1003 --> pkgs/main::pickleshare-0.7.5-pyhd3eb1b0_1003 prompt-toolkit conda-forge::prompt-toolkit-3.0.30-py~ --> pkgs/main::prompt-toolkit-3.0.20-pyhd3eb1b0_0 psutil conda-forge::psutil-5.9.1-py37h540881~ --> pkgs/main::psutil-5.9.0-py37h5eee18b_0 pygments conda-forge::pygments-2.12.0-pyhd8ed1~ --> pkgs/main::pygments-2.11.2-pyhd3eb1b0_0 pyparsing conda-forge::pyparsing-3.0.9-pyhd8ed1~ --> pkgs/main::pyparsing-3.0.4-pyhd3eb1b0_0 python-dateutil conda-forge::python-dateutil-2.8.2-py~ --> pkgs/main::python-dateutil-2.8.2-pyhd3eb1b0_0 traitlets conda-forge::traitlets-5.3.0-pyhd8ed1~ --> pkgs/main::traitlets-5.1.1-pyhd3eb1b0_0 wcwidth conda-forge::wcwidth-0.2.5-pyh9f0ad1d~ --> pkgs/main::wcwidth-0.2.5-pyhd3eb1b0_0 zeromq conda-forge::zeromq-4.3.4-h9c3ff4c_1 --> pkgs/main::zeromq-4.3.4-h2531618_0 Proceed ([y]/n)? y Downloading and Extracting Packages jupyter_client-7.2.2 | 190 KB | ################################################################################################################################################################################## | 100% psutil-5.9.0 | 328 KB | ################################################################################################################################################################################## | 100% jupyter_core-4.10.0 | 75 KB | ################################################################################################################################################################################## | 100% jedi-0.18.1 | 980 KB | ################################################################################################################################################################################## | 100% debugpy-1.5.1 | 1.7 MB | ################################################################################################################################################################################## | 100% ipython-7.31.1 | 1013 KB | ################################################################################################################################################################################## | 100% entrypoints-0.4 | 16 KB | ################################################################################################################################################################################## | 100% pyzmq-22.3.0 | 465 KB | ################################################################################################################################################################################## | 100% nest-asyncio-1.5.5 | 16 KB | ################################################################################################################################################################################## | 100% Preparing transaction: done Verifying transaction: done Executing transaction: done (keras) [min@ai grecognition]$

 ## pytorch reinstall

(keras) [min@ai grecognition]$ conda install pytorch torchvision torchaudio cudatoolkit=11.0 -c pytorch Collecting package metadata (current_repodata.json): done Solving environment: done ==> WARNING: A newer version of conda exists. <== current version: 4.10.3 latest version: 4.13.0 Please update conda by running $ conda update -n base -c defaults conda ## Package Plan ## environment location: /home/min/anaconda3/envs/keras added / updated specs: - cudatoolkit=11.0 - pytorch - torchaudio - torchvision The following NEW packages will be INSTALLED: blas pkgs/main/linux-64::blas-1.0-mkl brotlipy pkgs/main/linux-64::brotlipy-0.7.0-py37h27cfd23_1003 bzip2 pkgs/main/linux-64::bzip2-1.0.8-h7b6447c_0 cffi pkgs/main/linux-64::cffi-1.15.0-py37hd667e15_1 charset-normalizer pkgs/main/noarch::charset-normalizer-2.0.4-pyhd3eb1b0_0 cryptography pkgs/main/linux-64::cryptography-37.0.1-py37h9ce1e76_0 ffmpeg pytorch/linux-64::ffmpeg-4.3-hf484d3e_0 freetype pkgs/main/linux-64::freetype-2.11.0-h70c0345_0 giflib pkgs/main/linux-64::giflib-5.2.1-h7b6447c_0 gmp pkgs/main/linux-64::gmp-6.2.1-h295c915_3 gnutls pkgs/main/linux-64::gnutls-3.6.15-he1e5248_0 idna pkgs/main/noarch::idna-3.3-pyhd3eb1b0_0 intel-openmp pkgs/main/linux-64::intel-openmp-2021.4.0-h06a4308_3561 jpeg pkgs/main/linux-64::jpeg-9e-h7f8727e_0 lame pkgs/main/linux-64::lame-3.100-h7b6447c_0 lcms2 pkgs/main/linux-64::lcms2-2.12-h3be6417_0 libiconv pkgs/main/linux-64::libiconv-1.16-h7f8727e_2 libidn2 pkgs/main/linux-64::libidn2-2.3.2-h7f8727e_0 libpng pkgs/main/linux-64::libpng-1.6.37-hbc83047_0 libtasn1 pkgs/main/linux-64::libtasn1-4.16.0-h27cfd23_0 libtiff pkgs/main/linux-64::libtiff-4.2.0-h2818925_1 libunistring pkgs/main/linux-64::libunistring-0.9.10-h27cfd23_0 libwebp pkgs/main/linux-64::libwebp-1.2.2-h55f646e_0 libwebp-base pkgs/main/linux-64::libwebp-base-1.2.2-h7f8727e_0 lz4-c pkgs/main/linux-64::lz4-c-1.9.3-h295c915_1 mkl pkgs/main/linux-64::mkl-2021.4.0-h06a4308_640 mkl-service pkgs/main/linux-64::mkl-service-2.4.0-py37h7f8727e_0 mkl_fft pkgs/main/linux-64::mkl_fft-1.3.1-py37hd3c417c_0 mkl_random pkgs/main/linux-64::mkl_random-1.2.2-py37h51133e4_0 nettle pkgs/main/linux-64::nettle-3.7.3-hbbd107a_1 numpy pkgs/main/linux-64::numpy-1.21.5-py37h6c91a56_3 numpy-base pkgs/main/linux-64::numpy-base-1.21.5-py37ha15fc14_3 openh264 pkgs/main/linux-64::openh264-2.1.1-h4ff587b_0 pillow pkgs/main/linux-64::pillow-9.0.1-py37h22f2fdc_0 pycparser pkgs/main/noarch::pycparser-2.21-pyhd3eb1b0_0 pyopenssl pkgs/main/noarch::pyopenssl-22.0.0-pyhd3eb1b0_0 pysocks pkgs/main/linux-64::pysocks-1.7.1-py37_1 pytorch pytorch/linux-64::pytorch-1.12.0-py3.7_cpu_0 pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cpu requests pkgs/main/linux-64::requests-2.28.0-py37h06a4308_0 torchaudio pytorch/linux-64::torchaudio-0.12.0-py37_cpu torchvision pytorch/linux-64::torchvision-0.13.0-py37_cpu typing_extensions pkgs/main/noarch::typing_extensions-4.1.1-pyh06a4308_0 urllib3 pkgs/main/linux-64::urllib3-1.26.9-py37h06a4308_0 zstd pkgs/main/linux-64::zstd-1.5.2-ha4553b6_0 Proceed ([y]/n)? y Preparing transaction: done Verifying transaction: done Executing transaction: done (keras) [min@ai grecognition]$


 











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