Python 3.6.13 |Anaconda, Inc.| (default, Mar 16 2021, 11:37:27) [MSC v.1916 64 bit (AMD64)] on win32 Type "help", "copyright", "credits" or "license" for more information. >>> from tensorflow.python.client import device_lib 2022-04-21 12:39:33.711049: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll >>> print(device_lib.list_local_devices()) 2022-04-21 12:39:59.283903: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2022-04-21 12:39:59.304405: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x18f971d9e90 initialized for platform Host (this does not guarantee that XLA will be used). Devices: 2022-04-21 12:39:59.304495: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version 2022-04-21 12:39:59.306812: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll 2022-04-21 12:40:00.454312: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1561] Found device 0 with properties: pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 3060 Laptop GPU computeCapability: 8.6 coreClock: 1.702GHz coreCount: 30 deviceMemorySize: 6.00GiB deviceMemoryBandwidth: 312.97GiB/s 2022-04-21 12:40:00.454374: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll 2022-04-21 12:40:00.857091: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll 2022-04-21 12:40:01.019322: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll 2022-04-21 12:40:01.047690: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll 2022-04-21 12:40:01.279372: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll 2022-04-21 12:40:01.478822: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll 2022-04-21 12:40:01.735144: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll 2022-04-21 12:40:01.735324: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1703] Adding visible gpu devices: 0 2022-04-21 12:44:53.183898: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] Device interconnect StreamExecutor with strength 1 edge matrix: 2022-04-21 12:44:53.184056: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1108] 0 2022-04-21 12:44:53.184334: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1121] 0: N 2022-04-21 12:44:53.185694: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1247] Created TensorFlow device (/device:GPU:0 with 4740 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6) 2022-04-21 12:44:53.189878: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x18fd23b4860 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices: 2022-04-21 12:44:53.189999: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 3060 Laptop GPU, Compute Capability 8.6 [name: "/device:CPU:0" device_type: "CPU" memory_limit: 268435456 locality { } incarnation: 6971786182916477396 , name: "/device:XLA_CPU:0" device_type: "XLA_CPU" memory_limit: 17179869184 locality { } incarnation: 11707901384077621849 physical_device_desc: "device: XLA_CPU device" , name: "/device:GPU:0" device_type: "GPU" memory_limit: 4971060288 locality { bus_id: 1 links { } } incarnation: 11364496032543502232 physical_device_desc: "device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6" , name: "/device:XLA_GPU:0" device_type: "XLA_GPU" memory_limit: 17179869184 locality { } incarnation: 7354490642855426714 physical_device_desc: "device: XLA_GPU device" ] >>>