Ａｂｏｕｔ Ｔｅｎｓｏｒｆｌｏｗ ａｎｄ ＣＵＤＡ， ＧＰＵ

[jhxing]

Ｈｉ，　Ｉ　ｒｕｎ　ｙｏｕｒ　ｔｒａｉｎ，ｐｙ　ｃｏｄｅ　ｗｉｔｈ　Ｔｅｎｓｏｒｆｌｏｗ１．１４　ａｎｄ　ＣＵＤＡ１０．０　ｖｅｒｓｉｏｎ，　ａｎｄ　ｇｏｔ　ｔｈｅ　ｉｓｓｕｅ：
`2019-10-17 14:47:22.499384: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1763] Adding visible gpu devices: 0
2019-10-17 14:47:28.415586: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1181] Device interconnect StreamExecutor with strength 1 edge matrix:
2019-10-17 14:47:28.415647: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1187] 0
2019-10-17 14:47:28.415662: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1200] 0: N
2019-10-17 14:47:28.418205: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1326] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 10440 MB memory) -> physical GPU (device: 0, name: TITAN V, pci bus id: 0000:42:00.0, compute capability: 7.0)
2019-10-17 14:47:37.414226: F ./tensorflow/core/kernels/random_op_gpu.h:227] Non-OK-status: CudaLaunchKernel(FillPhiloxRandomKernelLaunch, num_blocks, block_size, 0, d.stream(), gen, data, size, dist) status: Internal: invalid configuration argument

Process finished with exit code 134 (interrupted by signal 6: SIGABRT)`

Ｉ　ａｍ　ｎｏｔ　ｓｕｒｅ　ｉｆ　ｉｔ　ｉｓ　ｔｈｅ　ｃｏｄｅ　ｏｒ　ｔｈｅ　ｔｅｎｓｏｒｆｌｏｗ　ｂｕｇ，　ｃｏｕｌｄ　ｙｏｕ　ｐｌｅａｓｅ　ｇｉｖｅ　ｍｅ　ｓｏｍｅ　ａｄｖｉｃｅｓ　？