SSD with NON_BLOCKING stream

AI & Deep Learning Libraries and SDKs TensorRT
#1

Hi
I have an SSD model with a custom layer. I initialize TensorRT net with a plugin factory which creates my plugin.
issue is when I do inference and provide IExecutionContext::enqueue with a stream creating using CU_STREAM_NON_BLOCKING the network returns invalid results, but when I create the stream with CU_STREAM_DEFAULT everything works fine.
Looking in Nsight I see most of the network kernels, including my custom layer are executed on the stream provided to IExecutionContext::enqueue while a few kernels named “void copy_kernel<float, int=0>(cublasCopyParams)” are executed on another stream.
It seems like one of the layers uses a stream other then the one provided to enqueue.
Can I work around this? I want to avoid synchronization with the default stream.

Thanks,
Liran.

#2

Hi, have you solved the problem? I also met this error when doing the TensorRT implementation of Refinedet model (just like SSD). When I use “context.execute()”, everything works fine, while “context.enqueue” gives error results.