質問編集履歴
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搭載されているGPUと学習実行時の最初のアウトプットを記述しました
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機械学習の最初のアウトプット
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```python
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Using TensorFlow backend.
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2019-01-28 14:14:17.288077: I tensorflow/core/platform/cpu_feature_guard.cc:141] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2
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2019-01-28 14:14:18.122260: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1411] Found device 0 with properties:
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name: GeForce GT 630 major: 2 minor: 1 memoryClockRate(GHz): 1.62
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pciBusID: 0000:01:00.0
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totalMemory: 1.00GiB freeMemory: 822.90MiB
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2019-01-28 14:14:18.156877: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1461] Ignoring visible gpu device (device: 0, name: GeForce GT 630, pci bus id: 0000:01:00.0, compute capability: 2.1) with Cuda compute capability 2.1. The minimum required Cuda capability is 3.7.
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2019-01-28 14:14:18.201366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:971] Device interconnect StreamExecutor with strength 1 edge matrix:
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2019-01-28 14:14:18.202673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:977] 0
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2019-01-28 14:14:18.214962: I tensorflow/core/common_runtime/gpu/gpu_device.cc:990] 0: N
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```
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gpuが認識されているかチェックしたコード
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```Python
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from tensorflow.python.client import device_lib
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### 環境
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GPU:GeForce GT630
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CUDA 9.0
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```nvccv
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