Comments (6)
We don't provide 1 gpu config file, I think you might be using the 16gpu config file which requires Horovod. Please modify the 4gpu config by following this: #9 (comment) if you want to use 1 GPU
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After reading the issue - it seems that we need python 3.7 and not 3.6 - if so, can you update the README with the same? I will try recompiling with 3.7 and see if it executes.
Also, just to try and be consistent - which CUDA version are you using?
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I think you misread the issue. And I use python 3.6 and CUDA 9.1.
If the code cannot execute on your side please post essential information/output here.
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getting error similar to issue #9 - i have compiled with python 3.6 and cuda 9.1; i have only 1 GPU - did the suggested changes. I am trying to run for COCO dataset.
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Got the code working! Thank you for the inputs.
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Got the code working! Thank you for the inputs.
Can you suggest the way to solve this bug?? It's really killing us
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Related Issues (20)
- Why the PQ is not equal to SQ * RQ?
- Pan output exceeds number of classes
- Defining New Datasets in Cityscapes Format
- batch_size per gpu is limited to 1
- PQ calculation error HOT 2
- Segmentation fault (core dumped) HOT 1
- Can't generate Panoptic results, only Instance. HOT 3
- System and environment
- RuntimeError: DataLoader worker (pid 60087) is killed by signal: Killed. HOT 1
- Inference is slow when the classes is large.
- Getting NaN for loss/accuracy values on 4 GPU config file HOT 2
- Missing nvcc?
- AssertionError: Failed to read image
- How to infer one Image with COCO Config?
- TypeError: new(): invalid data type 'str'
- Panoptic head implementation
- RuntimeError: expected a Variable argument, but got list
- Dataset overview
- Shipments not recieved
- RuntimeError: CUDA error: no kernel image is available for execution on the device HOT 2
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