python - InvalidArgumentError-已明确分配给/device :GPU:1 but available devices are [/job:localhost/replica:0/task:0/device:CPU:0,

Question

任何帮助，将不胜感激。我一般对tensorflow和编程都是陌生的。我正在按照github(https://github.com/experiencor/keras-yolo3)中的说明学习YOLO-3的对象检测。运行下面的代码后。请向我提供解决方案。
!python train.py -c config.json
而且我收到以下错误:
tensorflow.python.framework.errors_impl.InvalidArgumentError: Cannot assign a device for` operation replica_1/lambda_6/Shape: node replica_1/lambda_6/Shape (defined at /home/arasdar/anaconda3/lib/python3.7/site-packages/tensorflow_core/python/framework/ops.py:1748) was explicitly assigned to /device:GPU:1 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:GPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0, /job:localhost/replica:0/task:0/device:XLA_GPU:0 ]. Make sure the device specification refers to a valid device.
[[replica_1/lambda_6/Shape]]

Answer 1

检查您的config.json文件，如果仅使用单个GPU，则应将“train”下的“gpu”参数更改为“0”，而不是默认的“0,1”

"train": {
    "gpu":  "0"
}