Bug fix: set gpu_ids properly #2071
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sungmanc
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Apr 26, 2023
goodsong81
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use fisrt GPU of cuda visible devices
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* Upgrade mmdeploy==0.14.0 from official PyPI (#2047) * Bug fix: value of validation variable is changed after auto decrease batch size (#2053) * Integrate new ignored loss in semantic segmentation (#2065) * Remove unused modules in semantic segmentation (#2068) * Add doc for fast data loading (#2069) * Bug fix: set gpu_ids properly (#2071) * Bug fix: Progress goes 100% and back 0 % repeatedly during auto decrease bs in Geti (#2074) * Fix tiling 0 stride issue in parameter adapter (#2078) * Update instance-segmentation tutorial documentation (#2082) * Optimize YOLOX data pipeline and add unit test for get_subset of Datu… (#2075) * Tiling Spatial Concatenation for OpenVINO IR (#2052) * Add spatial concatenation to deployment demo (#2089) --------- Signed-off-by: Songki Choi <[email protected]> Co-authored-by: Eunwoo Shin <[email protected]> Co-authored-by: Soobee Lee <[email protected]> Co-authored-by: Inhyuk Cho <[email protected]> Co-authored-by: Eugene Liu <[email protected]> Co-authored-by: Harim Kang <[email protected]> Co-authored-by: Jaeguk Hyun <[email protected]>
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gpu_ids should be an iterateable variable which has single element in single GPU training case.
Current implementation doesn't if CUDA_VISIBLE_DEVICES has multiple integers.
This PR fixed the issue #2070
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