Kh4L opened a new issue #17485: IndexError in gluon-cv Mask-RCNN validation on master URL: https://github.com/apache/incubator-mxnet/issues/17485 ## Description An IndexError occurs during the first validation step when [training gluon-cv Mask-RCNN](https://github.com/dmlc/gluon-cv/blob/master/scripts/instance/mask_rcnn/train_mask_rcnn.py) with horovod. ### Error Message ``` [1,2]<stderr>:IndexError: index 999 is out of bounds for axis 1 with size 500 [1,5]<stderr>:Traceback (most recent call last): [1,5]<stderr>: File "gluon-cv/scripts/instance/mask_rcnn/train_mask_rcnn.py", line 615, in <module> [1,5]<stderr>: train(net, train_data, val_data, eval_metric, batch_size, ctx, logger, args) [1,5]<stderr>: File "gluon-cv/scripts/instance/mask_rcnn/train_mask_rcnn.py", line 540, in train [1,5]<stderr>: args) [1,5]<stderr>: File "gluon-cv/scripts/instance/mask_rcnn/train_mask_rcnn.py", line 275, in validate [1,5]<stderr>: det_bbox = det_bbox[i].asnumpy() [1,5]<stderr>: File "/workspace/incubator-mxnet/python/mxnet/ndarray/ndarray.py", line 2554, in asnumpy [1,5]<stderr>: ctypes.c_size_t(data.size))) [1,5]<stderr>: File "/workspace/incubator-mxnet/python/mxnet/base.py", line 273, in check_call [1,5]<stderr>: raise get_last_ffi_error() [1,5]<stderr>:IndexError: Traceback (most recent call last): [1,5]<stderr>: File "src/operator/tensor/indexing_op.cu", line 461 [1,5]<stderr>:IndexError: index 999 is out of bounds for axis 1 with size 500 -------------------------------------------------------------------------- Primary job terminated normally, but 1 process returned a non-zero exit code. Per user-direction, the job has been aborted. -------------------------------------------------------------------------- -------------------------------------------------------------------------- mpirun detected that one or more processes exited with non-zero status, thus causing the job to be terminated. The first process to do so was: Process name: [[39172,1],0] Exit code: 1 -------------------------------------------------------------------------- ``` ### Steps to reproduce 1. Compile and install mxnet master 2. Get gluon-cv master 3. horovodrun -np 8 -H localhost:8 python ./gluon-cv/scripts/instance/mask_rcnn/train_mask_rcnn.py --dataset coco -j 4 --log-interval 1000 --use-fpn --horovod --amp --batch-size 16 --lr 0.02 --lr-warmup 500 --epochs 1 ## Environment We recommend using our script for collecting the diagnostic information. Run the following command and paste the outputs below: ``` curl --retry 10 -s https://raw.githubusercontent.com/dmlc/gluon-nlp/master/tools/diagnose.py | python # paste outputs here ```
---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
