We have provided graphs and data showing that TensorFlow has a memory leak, and yet every time someone comes along with a "solution" that doesn't even fix the problem at hand, someone from Google tries to close this thread. From my perspective, it's as if Google is trying to say one ...
Some way to completely destroy the deepspeed engine and clear gpu memory ds_report output [2023-12-21 05:15:48,112] [INFO] [real_accelerator.py:161:get_accelerator] Setting ds_accelerator to cuda (auto detect) --- DeepSpeed C++/CUDA extension op report --- NOTE: Ops not installed will...
Highly unlikely to be a good idea. The CUDA compiler is based on LLVM, an extremly powerful framework for code transformations, i.e. optimizations. If you run into the compiler optimizing away code that you don’t want to have optimized away, create dependencies that prevent that from happeni...
NVIDIA TensorRT is an SDK for high-performance deep learning inference built on top of CUDA. It is able to optimize ML models on many different levels, from model data type quantization to GPU memory optimizations. These optimization techniques do however come with a cost: reduced accuracy. With...
In this post we discussed some aspects of how to efficiently access global memory from within CUDA kernel code. Global memory access on the device shares performance characteristics with data access on the host; namely, that data locality is very important. In early CUDA hardware, memory access ...
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I’ve upgraded CUDA 10 to 11. Now the Jetson Nano software has been well refreshed. The last thing that I want to try is to upgrade the kernel. It is still 4.9. Too old. I would like to try 5.x ; someone has some good articles that suggest to me how to do that ? I will...
Gamers, video editors, and graphics artists swear by the might of the graphics cards in their systems. A graphics card is a miniature marvel, indeed, packing a whole video computational engine on a ch
Through these techniques, you will have a better grasp on managing compute resources like GPU memory and RAM. Step 5 — Learn by doing As we mentioned earlier, project-based learning is absolutely essential for mastering PyTorch effectively. Projects force you to actively use the skills you...
Currently there's no mechanism to explicitly free memory that the session is using whilst keeping the session around. I tried deleting the onnxruntime.InferenceSession using "del ort_session" but the GPU still shows memory usage. I want to clear GPU memory for other models within the same ...