我正在使用 nvidia gpu,但 tensorflow 仍在使用 cpu,尽管它可以看到 gpu
023-03-07 19:41:14.501723: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
[PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')]
2023-03-07 19:41:15.203053: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2023-03-07 19:41:15.203588: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2023-03-07 19:41:15.228659: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2023-03-07 19:41:15.228834: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:02:00.0 name: NVIDIA GeForce MX110 computeCapability: 5.0
coreClock: 1.006GHz coreCount: 2 deviceMemorySize: 1.96GiB deviceMemoryBandwidth: 37.33GiB/s
2023-03-07 19:41:15.228852: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.10.1
2023-03-07 19:41:15.229990: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10
2023-03-07 19:41:15.230025: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.10
2023-03-07 19:41:15.231148: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2023-03-07 19:41:15.231351: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2023-03-07 19:41:15.232379: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
2023-03-07 19:41:15.232920: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.10
2023-03-07 19:41:15.235052: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.7
2023-03-07 19:41:15.235158: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2023-03-07 19:41:15.235414: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc: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
2023-03-07 19:41:15.235533: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
# when arriving to model.fit
2023-03-07 19:43:41.793302: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:116] None of the MLIR optimization passes are enabled (registered 2)
2023-03-07 19:43:41.811353: I tensorflow/core/platform/profile_utils/cpu_utils.cc:112] CPU Frequency: 1497600000 Hz
2023-03-07 19:43:41.855519: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.10
nvcc版本 nvcc:11.5,V11.5.119
海湾合作委员会版本 海湾合作委员会 11.3.0
请解决我的问题的任何解决方案。我谷歌了很长时间没有任何结果。 提前谢谢你
我尝试将我的 gpu 与 tensorflow 一起使用,但没有结果