Question

我正在编写一个应该能够将文本文件保存到任何位置的应用程序。当我在eclipse中运行代码时，我得到以下异常：

java.io.FileNotFoundException：C：\ myFile.txt（Zugriff verweigert）

“Zugriff verwiegert”是许可被拒绝的德语。

我可以写信给 C：\ Users \ MyUser \ Documents 。

我做了一些研究，发现应用程序需要管理员权限。如果这是真的，我如何在eclipse中以管理员身份运行它？

我写代码的代码：

bazel-bin/tensorflow/cc/tutorials_example_trainer --use_gpu
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcublas.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcudnn.so.5 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcufft.so locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcuda.so.1 locally
I tensorflow/stream_executor/dso_loader.cc:108] successfully opened CUDA library libcurand.so locally
modprobe: ERROR: ../libkmod/libkmod-module.c:832 kmod_module_insert_module() could not find module by name='nvidia_367_uvm'
modprobe: ERROR: could not insert 'nvidia_367_uvm': Unknown symbol in module, or unknown parameter (see dmesg)
E tensorflow/stream_executor/cuda/cuda_driver.cc:491] failed call to cuInit: CUDA_ERROR_UNKNOWN
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:153] retrieving CUDA diagnostic information for host: debian
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:160] hostname: debian
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:185] libcuda reported version is: 367.35.0
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:356] driver version file contents: """NVRM version: NVIDIA UNIX x86_64 Kernel Module  367.35  Mon Jul 11 23:14:21 PDT 2016
GCC version:  gcc version 5.4.0 20160609 (Debian 5.4.0-6) 
"""
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:189] kernel reported version is: 367.35.0
I tensorflow/stream_executor/cuda/cuda_diagnostics.cc:293] kernel version seems to match DSO: 367.35.0
I tensorflow/core/common_runtime/gpu/gpu_init.cc:81] No GPU devices available on machine.
F tensorflow/cc/tutorials/example_trainer.cc:125] Check failed: ::tensorflow::Status::OK() == (session->Run({{"x", x}}, {"y:0", "y_normalized:0"}, {}, &outputs)) (OK vs. Invalid argument: Cannot assign a device to node 'y': Could not satisfy explicit device specification '/gpu:0' because no devices matching that specification are registered in this process; available devices: /job:localhost/replica:0/task:0/cpu:0
     [[Node: y = MatMul[T=DT_FLOAT, transpose_a=false, transpose_b=false, _device="/gpu:0"](Const, x)]])

编辑： Stackoverflow将我的问题与以下问题联系起来： How do I elevate my UAC permissions from Java? 但我想知道是否有可能在日食中！ ; d

Answer 1

以管理员身份运行Eclipse，您将能够在文件系统的任何位置编写

Java在eclipse中提供管理员权限

1 个答案: