11:18:18.463353: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcudnn.so.8 11:18:18.463241: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcusparse.so.11 11:18:18.462745: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcusolver.so.10 11:18:18.462200: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcurand.so.10 11:18:18.462072: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcufft.so.10 11:18:18.461362: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcublasLt.so.11 11:18:18.461332: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcublas.so.11 11:18:18.459034: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcudart.so.11.0
PciBusID: 0000:01:00.0 name: GeForce RTX 2060 computeCapability: 7.5ĬoreClock: 1.35GHz coreCount: 30 deviceMemorySize: 5.79GiB deviceMemoryBandwidth: 245.91GiB/s 11:18:18.458996: I tensorflow/core/common_runtime/gpu/gpu_:1720] Found device 0 with properties: 11:18:18.458471: I tensorflow/stream_executor/cuda/cuda_gpu_:941] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero 11:18:18.437998: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcuda.so.1 11:18:18.437590: I tensorflow/compiler/jit/xla_cpu_:41] Not creating XLA devices, tf_xla_enable_xla_devices not set Print(tf.config.list_physical_devices('GPU'))ĮOF 复制代码 11:18:17.719061: I tensorflow/stream_executor/platform/default/dso_:49] Successfully opened dynamic library libcudart.so.11.0 Print(tf._version_, tf.test.is_built_with_gpu_support()) 创建虚拟环境 tf，再 pip 安装 TensorFlow： # create virtual environment
#Jupyterlab tensorflow install#
不然，如下进行安装： conda install -c conda-forge jupyterlab
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