linux seems stucking on cudnn how to fix it?

hi

same repo to run the tensorflow gpu code.

on Win, it passed the stage like :

- weight name: discriminator/gan/conv6/bias:0, shape: [256], size: 256 [32;1mTrigger callback: [0mTotal counts of trainable weights: 33579064. Total size of trainable weights: 0G 32M 24K 56B (Assuming32-bit data type.) 2022-05-05 11:29:14.865680: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_100.dll 2022-05-05 11:29:15.131382: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll 2022-05-05 11:29:15.901900: W tensorflow/stream_executor/cuda/redzone_allocator.cc:312] Internal: Invoking ptxas not supported on Windows Relying on driver to perform ptx compilation. This message will be only logged once. 

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however the linux stays at the

Total size of trainable weights: 0G 32M 24K 56B (Assuming32-bit data type.) 

for ever,

assume this linux wasn’t able to open the cudnn???

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cudnn is installed by running

$conda list cudatoolkit 10.0.130 hf841e97_10 conda-forge cudnn 7.6.5.32 ha8d7eb6_1 conda-forge 

the version seems fine with tensorflow-gpu 1.15 tensorflow-cuda

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after installing the cuda with system package manager,

but there is another cudatoolkit 10 and the cudnn comes withthe tensorflow-gpu. did not restart the machine. does this matter?

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2022-05-05 12:46:14.496348: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX AVX2 AVX512F FMA 2022-05-05 12:46:14.520365: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2601325000 Hz 2022-05-05 12:46:14.521958: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x5565bcb72f40 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-05-05 12:46:14.521982: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-05-05 12:46:14.523737: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1 2022-05-05 12:46:14.526821: E tensorflow/stream_executor/cuda/cuda_driver.cc:318] failed call to cuInit: CUDA_ERROR_SYSTEM_DRIVER_MISMATCH: system has unsupported display driver / cuda driver combination 2022-05-05 12:46:14.526889: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:200] libcuda reported version is: 510.60.2 2022-05-05 12:46:14.526904: I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:204] kernel reported version is: 495.44.0 2022-05-05 12:46:14.526916: E tensorflow/stream_executor/cuda/cuda_diagnostics.cc:313] kernel version 495.44.0 does not match DSO version 510.60.2 -- cannot find working devices in this configuration 

is this because the cuda 11 installed by system not compatible with the cudatoolkit 10 by conda?

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any idea how to fix this one?

thanks a lot