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I am now training on a VM but it only works on one CPU. When I enter GPU:0 in the config I thought it would train automatically on the GPU. But it works only on the CPU. Tensorflow GPU and CUDA are installed. On the Train File I tried some things, but without success.
My environment looks like this:
Tensorflow GPU: 1.15.0
Tensorflow Estimate: 1.15.1
Python: 3.5.5
Cuda: 11.0
The following CPUs and GPUs are available:
/device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0, /job:localhost/replica:0/task:0/device:XLA_GPU:0 ]
How can I now point to the GPU device?
The text was updated successfully, but these errors were encountered:
skuehn1988
changed the title
Single GPU doesn't work
Training on single GPU doesn't work
Aug 27, 2020
I am now training on a VM but it only works on one CPU. When I enter GPU:0 in the config I thought it would train automatically on the GPU. But it works only on the CPU. Tensorflow GPU and CUDA are installed. On the Train File I tried some things, but without success.
My environment looks like this:
Tensorflow GPU: 1.15.0
Tensorflow Estimate: 1.15.1
Python: 3.5.5
Cuda: 11.0
The following CPUs and GPUs are available:
/device:GPU:0 but available devices are [ /job:localhost/replica:0/task:0/device:CPU:0, /job:localhost/replica:0/task:0/device:XLA_CPU:0, /job:localhost/replica:0/task:0/device:XLA_GPU:0 ]
How can I now point to the GPU device?
The text was updated successfully, but these errors were encountered: