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hub / github.com/DeepRec-AI/DeepRec / CreateStream

Method CreateStream

tensorflow/stream_executor/cuda/cuda_driver.cc:737–762  ·  view source on GitHub ↗

static */

Source from the content-addressed store, hash-verified

735}
736
737/* static */ bool GpuDriver::CreateStream(GpuContext* context,
738 CUstream* stream,
739 int priority) {
740 // TODO(leary) can we switch this to CU_STREAM_NON_BLOCKING or will that mess
741 // up synchronization with respect to memsets and any other things that have
742 // to occur on the default stream?
743 ScopedActivateContext activated{context};
744 CUresult res;
745 // If the priority is 0, then use the previous api to create the stream with
746 // the default priority for backward compatibility. Probably there is no
747 // difference in using the new api call but leaving it as is for now.
748 if (priority == 0) {
749 res = cuStreamCreate(stream, 0);
750 } else {
751 res = cuStreamCreateWithPriority(stream, 0, priority);
752 }
753 if (res != CUDA_SUCCESS) {
754 LOG(ERROR) << "could not allocate CUDA stream for context "
755 << context->context() << ": " << ToString(res);
756 return false;
757 }
758
759 VLOG(2) << "successfully created stream " << *stream << " for context "
760 << context->context() << " on thread";
761 return true;
762}
763
764/* static */ void GpuDriver::DestroyStream(GpuContext* context,
765 CUstream* stream) {

Callers

nothing calls this directly

Calls 2

ToStringFunction · 0.70
contextMethod · 0.45

Tested by

no test coverage detected