Uint8 fix #2105
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Uint8 fix #2105
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hellock
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Feb 17, 2020
mattdawkins
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Feb 26, 2020
* jon/dev/fix_fpn2: (33 commits) Fix FPN upscale fix analyze log (open-mmlab#2150) Fix a documentation error in GETTING_STARTED.md (open-mmlab#2149) add optimizer registry (open-mmlab#2139) Update version to 1.1 (open-mmlab#2144) Fix IOU assigners when ignore_of_thr > 0 and no pred boxes (open-mmlab#2135) reset worker_seed (open-mmlab#2111) Fix issue with list of metrics in CustomDataset.evaluate (open-mmlab#2128) Code Release: CARAFE: Content-Aware ReAssembly of FEatures (ICCV 2019) (open-mmlab#1583) fixed test package (open-mmlab#2127) add an argument format-only to handle the json formating (open-mmlab#2114) fix (get_cls_results): use np.empty for empty bbox rather than np.arrary (open-mmlab#2116) fix (dpool): directly return empty if rois's length is 0 (open-mmlab#2099) fix workflow problem (open-mmlab#2103) Uint8 fix (open-mmlab#2105) Fix device bug (open-mmlab#2098) fix test ddp initialize (open-mmlab#2100) set FORCE_CUDA (open-mmlab#2097) Speed up sampler (open-mmlab#2094) Use official DDP to implement MMDDP (open-mmlab#2090) ...
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In PYTORCH="1.3" ARG CUDA="10.1" ARG CUDNN="7", there are still massive warnings here. |
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In PYTORCH="1.4" there is no warning, I will also try your environments to see what happened. |
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In pytorch 1.4, training with config "cascade_rcnn_r101_fpn_1x.py" still exist this warnings. |
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The below task also produces this error. |
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mattdawkins
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Mar 13, 2020
* tag 'v1.1.0': (29 commits) Update version to 1.1 (open-mmlab#2144) Fix IOU assigners when ignore_of_thr > 0 and no pred boxes (open-mmlab#2135) reset worker_seed (open-mmlab#2111) Fix issue with list of metrics in CustomDataset.evaluate (open-mmlab#2128) Code Release: CARAFE: Content-Aware ReAssembly of FEatures (ICCV 2019) (open-mmlab#1583) fixed test package (open-mmlab#2127) add an argument format-only to handle the json formating (open-mmlab#2114) fix (get_cls_results): use np.empty for empty bbox rather than np.arrary (open-mmlab#2116) fix (dpool): directly return empty if rois's length is 0 (open-mmlab#2099) fix workflow problem (open-mmlab#2103) Uint8 fix (open-mmlab#2105) Fix device bug (open-mmlab#2098) fix test ddp initialize (open-mmlab#2100) set FORCE_CUDA (open-mmlab#2097) Speed up sampler (open-mmlab#2094) Use official DDP to implement MMDDP (open-mmlab#2090) log meta (open-mmlab#2086) fix pad_val not used in class Pad when pad to a fixed size (open-mmlab#2093) remove cython docs (open-mmlab#2091) remove new_tensor (open-mmlab#2092) ...
ioir123ju
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Mar 30, 2020
* fix (uint8 index warning): use bool for inside flags * fix (unint8 index): convert to bool in the final to avoid 1.1 constriant * fix (unmap): convert inds in unmap to be bool type
mike112223
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Aug 25, 2020
* fix (uint8 index warning): use bool for inside flags * fix (unint8 index): convert to bool in the final to avoid 1.1 constriant * fix (unmap): convert inds in unmap to be bool type
FANGAreNotGnu
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Oct 23, 2023
jben-hun
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Jan 10, 2025
* fix (uint8 index warning): use bool for inside flags * fix (unint8 index): convert to bool in the final to avoid 1.1 constriant * fix (unmap): convert inds in unmap to be bool type
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Fix #2017
In PyTorch 1.4, using tensor of type
torch.uint8will cause a massive warning.To avoid that, the
inside_flagsis converted tobooltype. However,Tensor.bool()is not supported in the PyTorch 1.1, theandoperation is also invalid for bool tensor, as well as.any().Therefore, we use
tensor.type(torch.bool)here.The modification has been tested with two environments: PyTorch 1.1 & PyTorch 1.4.