Tensorflow 2.4.0 Einige GPU-Bibliotheken können nicht geöffnet werden ⇐ Python

[Anonymous]

Mein Cuda ist 11.0 und ich habe Pip installiert.

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python install tensorflow==2.4.0

Nach der Eingabe

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import tensorflow as tf
gpus = tf.config.experimental.list_physical_devices(device_type='GPU')
cpus = tf.config.experimental.list_physical_devices(device_type='CPU')
print(gpus, cpus)

habe das

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[] [PhysicalDevice(name='/physical_device:CPU:0', device_type='CPU')]
2023-02-01 19:23:13.355591: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-02-01 19:23:13.357538: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:af:00.0 name: A100-PCIE-40GB computeCapability: 8.0
coreClock: 1.41GHz coreCount: 108 deviceMemorySize: 39.59GiB deviceMemoryBandwidth: 1.41TiB/s
2023-02-01 19:23:13.357678: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2023-02-01 19:23:13.357726: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2023-02-01 19:23:13.357743: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
2023-02-01 19:23:13.357758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-02-01 19:23:13.357773: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-02-01 19:23:13.357919: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcusolver.so.10'; dlerror: libcusolver.so.10: cannot open shared object file: No such file or directory
2023-02-01 19:23:13.357955: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2023-02-01 19:23:13.357970: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2023-02-01 19:23:13.357978: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1757] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform.
Skipping registering GPU devices...

Wie kann dieses Problem gelöst werden?
Vielen Dank.