我的cuda是11.0，我有pip安装这个。
python install tensorflow==2.4.0输入后
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)明白了
[] [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...如何解决这个问题？谢谢。
1条答案
按热度按时间mqkwyuun1#
python install tensorflow==2.4.0不是安装tensorflow的正确代码。安装python之后，您可以使用
pip命令或conda命令（如果您安装了conda软件）在系统中安装tensorflow。在conda环境中使用
pip或conda安装张流。tf并在激活VirEnv后安装tensorflowconda create --name tf python=3.9conda activate tfpip install --upgrade pippip install tensorflow编号或conda install tensorflow请按照所有软件要求在系统中启用Tensorflow GPU支持，并将它们添加到PATH的bin目录中。
x1米11米1x
pip install "tensorflow-gpu<2.11"#GPU设置不支持TF 2.11现在，您可以验证是否已成功安装TensorFlow。
**注意：**请确保您已根据此测试构建配置安装了与系统中已安装Python和TensorFlow版本兼容的正确CUDA和cuDNN。