TensorRT: [08/18/2019-20:58:10] [E] [TRT] UffParser: Validator error: mrcnn_mask_deconv/add_1: Unsupported operation _AddV2 &&&& FAILED TensorRT.sample_maskrcnn # ./sample_uff_maskRCNN -d
[08/18/2019-20:58:10] [E] [TRT] UffParser: Validator error: mrcnn_mask_deconv/add_1: Unsupported operation _AddV2
&&&& FAILED TensorRT.sample_maskrcnn # ./sample_uff_maskRCNN -d ~/data
ubuntu16.04 TensorRT 6.x (build source from git branch release/6.0) following tutorial converts matterport maskrcnn model successfully to uff, inference got this result.
About this issue
- Original URL
- State: closed
- Created 5 years ago
- Comments: 52 (5 by maintainers)
@jinfagang No operation called “AddV2” supported in TensorRT. https://docs.nvidia.com/deeplearning/sdk/tensorrt-support-matrix/index.html You can check the supported layers here. I noticed tensoflow has updated to 1.15 recently. So it is possible it adds some computation nodes that TensorRT uff cannot handle right now. You may downgrade to 1.14 and I guess this node will become “Add” and compatible with UFF parser.
Hi @rmccorm4
I can run the MaskRCNN sample on a workstation with a 1080Ti GPU now. yes, the performance of 2G GPU is not enough to run the sample. I will test the speed of MaskRCNN inference next step.