I am using the TensorRT sample code under /usr/scr/tensorrt/samples to run the Lanenet (https://github.com/MaybeShewill-CV/lanenet-lane-detection.) However, it printed out a lot of warning messages showing below. I have two questions
- Looks like DLA was not fully used. Is there anything I can do to run my network on DLA?
- Is there a way to suppress these warning messages at run time?
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/instance_seg_decode/decode_stage_1_fuse/deconv_bn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_4_fuse/deconv_bn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_4_fuse/fuse_gn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_3_fuse/deconv_bn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_3_fuse/fuse_gn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_2_fuse/deconv_bn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_2_fuse/fuse_gn/FusedBatchNorm
[W] [TRT] DLA supports only 8 subgraphs per DLA core. Switching to GPU for layer lanenet_model/vgg_frontend/vgg16_decode_module/binary_seg_decode/decode_stage_1_fuse/deconv_bn/FusedBatchNorm