Comments (3)
The best way to solve this is just to try running on CPU. I have a 940MX and the memory just doesn't cut it for convolutional networks most of the time. Just make a new virtual environment and pip install -r requirements.txt instead of pip install -r requirements-gpu.txt. (CPUs tend to have more RAM but aren't optimized for processing neural nets).
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Use the LowMem plugin
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Related Issues (20)
- E tensorflow/stream_executor/cuda/cuda_event.cc:48] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY: out of memory HOT 2
- E tensorflow/stream_executor/cuda/cuda_event.cc:48] Error polling for event status: failed to query event: CUDA_ERROR_OUT_OF_MEMORY: out of memory
- Number of processes must be at least 1 HOT 1
- Is it possible to run on TPU? HOT 1
- alignments tool doesn't handle case and filenames correctly in Windows. HOT 5
- opencv error HOT 1
- loss functions HOT 1
- Tensor A must be from the same graph as Tensor B HOT 5
- CUBLAS_STATUS_ALLOC_FAILED and CUDNN_STATUS_ALLOC_FAILED HOT 5
- Crash when using a reference face filter HOT 6
- Re-using model files HOT 2
- Updated FaceSwap crashes upon init HOT 2
- alignment tool file output crashes when the "folder" is a video file HOT 2
- Understanding GAN model's choices HOT 3
- Training from A - B HOT 1
- ImportError: cannot import name QueueHandler HOT 4
- The utilization: CPU 100, GPU 20 HOT 3
- Previous model files invalid? HOT 2
- Is it possible to use this for old age morphing ? what should be the dataset then ? HOT 1
- Analysis not working in latest pull. HOT 3
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