菜的抠脚! 2022-05-18 11:33 采纳率: 0%
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tensorflow运行报错

2022-05-18 11:24:39.095528: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
WARNING:tensorflow:Deprecation warnings have been disabled. Set TF_ENABLE_DEPRECATION_WARNINGS=1 to re-enable them.
2022-05-18 11:24:39.587215: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
2022-05-18 11:24:39.614081: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.614149: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1665] Found device 0 with properties:
name: NVIDIA GeForce RTX 3060 major: 8 minor: 6 memoryClockRate(GHz): 1.837
pciBusID: 0000:01:00.0
2022-05-18 11:24:39.614156: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-05-18 11:24:39.615313: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-05-18 11:24:39.615789: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-05-18 11:24:39.615899: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-05-18 11:24:39.617180: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2022-05-18 11:24:39.617461: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2022-05-18 11:24:39.617510: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-05-18 11:24:39.617550: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.617618: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.617657: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1793] Adding visible gpu devices: 0
2022-05-18 11:24:39.626176: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 2496000000 Hz
2022-05-18 11:24:39.626447: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563dc0dcd410 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2022-05-18 11:24:39.626458: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2022-05-18 11:24:39.626550: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.626616: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1665] Found device 0 with properties:
name: NVIDIA GeForce RTX 3060 major: 8 minor: 6 memoryClockRate(GHz): 1.837
pciBusID: 0000:01:00.0
2022-05-18 11:24:39.626624: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-05-18 11:24:39.626630: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
2022-05-18 11:24:39.626634: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
2022-05-18 11:24:39.626637: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
2022-05-18 11:24:39.626641: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.11
2022-05-18 11:24:39.626644: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
2022-05-18 11:24:39.626647: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
2022-05-18 11:24:39.626662: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.626707: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.626743: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1793] Adding visible gpu devices: 0
2022-05-18 11:24:39.626752: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
2022-05-18 11:24:39.805328: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1206] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-05-18 11:24:39.805349: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1212] 0
2022-05-18 11:24:39.805352: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1225] 0: N
2022-05-18 11:24:39.805432: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.805510: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.805560: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:1082] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2022-05-18 11:24:39.805611: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1351] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10093 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:01:00.0, compute capability: 8.6)
2022-05-18 11:24:39.806539: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x563dd21699f0 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2022-05-18 11:24:39.806547: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): NVIDIA GeForce RTX 3060, Compute Capability 8.6
2022-05-18 11:24:39.879087: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11

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  • 不会长胖的斜杠 后端领域新星创作者 2022-05-18 11:51
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    没看到报错呀,tensorflow运行的时候本身就会报很多相关信息

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