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通过以下方式： Tensorflow-gpu 2.0.0Windows 10环境NVIDIA GTX 1050 gpucuda 10.0和相应的cudnn 7.6.5我遵循了TF-gpu的官方TF文档，并尝试创建并安装了一个简单的CNN模型(在a.py文件中，我尝试过使用jupyter，但是内核总是死掉)，但是我得到了以下内容： 2020-02-06 23:57:14.420911: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_100.dll 2020-02-06 23:57:16.081396: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll 2020-02-06 23:57:16.861094: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1618] Found device 0 with properties: name: GeForce GTX 1050 major: 6 minor: 1 memoryClockRate(GHz): 1.493 pciBusID: 0000:01:00.0 2020-02-06 23:57:16.861492: I tensorflow/stream_executor/platform/default/dlopen_checker_stub.cc:25] GPU libraries are statically linked, skip dlopen check. 2020-02-06 23:57:16.862290: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1746] Adding visible gpu devices: 0 [PhysicalDevice(name='/physical_device:GPU:0', device_type='GPU')] 2020-02-06 23:58:14.322053: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX2 2020-02-06 23:58:14.324900: F tensorflow/stream_executor/lib/statusor.cc:34] Attempting to fetch value instead of handling error Internal: failed to get device attribute 13 for device 0: CUDA_ERROR_UNKNOWN: unknown error有人知道怎么做才能使TF-GPU2.0.0正常运行吗？我已经用2.1.0进行了测试，但问题似乎仍然存在。 |
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