質問編集履歴
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2021-12-07 22:06:17.045945: 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
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2021-12-07 22:06:17.046078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10669 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:01:00.0, compute capability: 8.6)
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###pip3 list(keras,tensorflow,pytorch関係)
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Package Version
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---------------------------- ---------------------
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keras 2.7.0
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76
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Keras-Applications 1.0.8
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Keras-Preprocessing 1.1.2
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78
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keras-resnet 0.2.0
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79
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tensorboard 2.7.0
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tensorboard-data-server 0.6.1
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tensorboard-plugin-wit 1.8.0
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tensorboardX 2.4
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tensorflow 2.4.0
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tensorflow-addons 0.13.0
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tensorflow-estimator 2.4.0
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tensorflow-gpu 2.4.0
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tensorflow-io-gcs-filesystem 0.22.0
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88
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torch 1.7.1
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torchaudio 0.7.2
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torchvision 0.8.2
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RuntimeError: CUDA runtime implicit initialization on GPU:0 failed. Status: device kernel image is invalid
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```
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###追記
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```
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2021-12-07 22:06:15.238294: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
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25
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2021-12-07 22:06:16.727416: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
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2021-12-07 22:06:16.727936: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcuda.so.1
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2021-12-07 22:06:16.737630: 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
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28
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2021-12-07 22:06:16.737796: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
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pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 3060 computeCapability: 8.6
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30
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coreClock: 1.837GHz coreCount: 28 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 335.32GiB/s
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2021-12-07 22:06:16.737829: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
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32
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2021-12-07 22:06:16.739607: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
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33
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2021-12-07 22:06:16.739646: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
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34
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2021-12-07 22:06:16.740312: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
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2021-12-07 22:06:16.740497: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
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2021-12-07 22:06:16.742090: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
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2021-12-07 22:06:16.742534: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
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2021-12-07 22:06:16.742649: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
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2021-12-07 22:06:16.742757: 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
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2021-12-07 22:06:16.742942: 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
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2021-12-07 22:06:16.743070: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
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2021-12-07 22:06:16.743518: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
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2021-12-07 22:06:16.743582: 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
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2021-12-07 22:06:16.743704: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
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pciBusID: 0000:01:00.0 name: NVIDIA GeForce RTX 3060 computeCapability: 8.6
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coreClock: 1.837GHz coreCount: 28 deviceMemorySize: 11.77GiB deviceMemoryBandwidth: 335.32GiB/s
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47
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2021-12-07 22:06:16.743738: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
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48
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2021-12-07 22:06:16.743758: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublas.so.11
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49
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2021-12-07 22:06:16.743788: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcublasLt.so.11
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50
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2021-12-07 22:06:16.743821: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcufft.so.10
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51
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2021-12-07 22:06:16.743839: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcurand.so.10
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2021-12-07 22:06:16.743855: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusolver.so.10
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2021-12-07 22:06:16.743871: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcusparse.so.11
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54
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2021-12-07 22:06:16.743887: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudnn.so.8
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55
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2021-12-07 22:06:16.743928: 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
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56
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2021-12-07 22:06:16.744099: 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
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2021-12-07 22:06:16.744195: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
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2021-12-07 22:06:16.744251: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library libcudart.so.11.0
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2021-12-07 22:06:17.045351: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
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2021-12-07 22:06:17.045377: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0
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2021-12-07 22:06:17.045398: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N
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2021-12-07 22:06:17.045575: 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
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2021-12-07 22:06:17.045762: 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
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64
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2021-12-07 22:06:17.045945: 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
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2021-12-07 22:06:17.046078: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10669 MB memory) -> physical GPU (device: 0, name: NVIDIA GeForce RTX 3060, pci bus id: 0000:01:00.0, compute capability: 8.6)
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```
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