Webdef wait_event (self, event): r """Makes all future work submitted to the stream wait for an event. Arguments: event (Event): an event to wait for. .. note:: This is a wrapper around ``cudaStreamWaitEvent()``: see `CUDA documentation`_ for more info. WebThe function cudaEventSynchronize () blocks CPU execution until the specified event is recorded. The cudaEventElapsedTime () function returns in the first argument the …
Event — PyTorch 2.0 documentation
Webtorch.cuda.stream — PyTorch 2.0 documentation torch.cuda.stream torch.cuda.stream(stream) [source] Wrapper around the Context-manager StreamContext that selects a given stream. Parameters: stream ( Stream) – selected stream. This manager is a no-op if it’s None. Return type: StreamContext Webtorch.cuda. This package adds support for CUDA tensor types, that implement the same function as CPU tensors, but they utilize GPUs for computation. It is lazily initialized, so you can always import it, and use is_available () to determine if your system supports CUDA. inborn trait or character
Using the NVIDIA CUDA Stream-Ordered Memory Allocator, Part 1
WebJul 19, 2013 · 1 Answer Sorted by: 4 You can certainly use cuda events to synchronize streams, such as using the cudaStreamWaitEvent API function. However the idea of putting all data copies in one stream and all kernel calls … Webevent ( torch.cuda.Event) – an event to wait for. Note This is a wrapper around cudaStreamWaitEvent (): see CUDA Stream documentation for more info. This function returns without waiting for event: only future operations are affected. wait_stream(stream) Synchronizes with another stream. WebJun 14, 2012 · (1) Move your cudaEventCreate calls to the loop that creates the streams. The host API overhead may be causing your problem. (2) Increase the duration of your kernel. The current kernel execution may be too small to capture. (3) Can you specify your OS (and if WinVista/7 if you are using TCC or WDDM). – Greg Smith May 8, 2012 at 0:55 incident of morales