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非正常状态:GpuLaunchKernel(...) 状态:内部:没有内核映像可用于在设备上执行

我使用 CUDA Toolkit 10.1 CUDNN 7.6.0 (Windows 10) 在 tensorflow 2.1.0 Anaconda 上运行我的代码,它返回一个问题

F .\tensorflow/core/kernels/random_op_gpu.h:232] Non-OK-status: GpuLaunchKernel(FillPhiloxRandomKernelLaunch<Distribution>, num_blocks, block_size, 0, d.stream(), gen, data, size, dist) status: Internal: no kernel image is available for execution on the device
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我的 GPU:GT940MX 计算能力 5.0

我已经运行了 nvcc -V 并且它返回:

nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2019 NVIDIA Corporation
Built on Fri_Feb__8_19:08:26_Pacific_Standard_Time_2019
Cuda compilation tools, release 10.1, V10.1.105
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这是完整的结果:

2020-08-05 10:05:48.368012: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic library cudart64_101.dll
2020-08-05 10:06:00.488544: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully …
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nvidia tensorflow cudnn

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