-
Mamba-YOLOs seem doding better than YOLO in terms of FLOPs and accuracy. How about their inference speed performances (e.g., Tensor-RT FPS)?
-
The README page mentions the following benchmark: `Clang 19 (1.56 GiB) 42.07s 33.13s 5.20s 1.35s`, but I cannot reproduce it on my AMD machine. First, am I right about the binary size (1.56 GiB) is me…
-
Hello,
I measured the time of your BitLinear and BitLinearBitBLAS against nn.Linear, and it seems that the time for smaller input_features and out_features is slower than nn.Linear. Is there a solu…
-
I would expect this Python implementation to be quite a bit slower than `linalg.solve`. If this is the case, the applications of this would be to use it with custom operators, which PyTorch doesn't cu…
-
Hi I found this nice project while learning rust. At the same time I'm curious about its speed comparing to llama on pytorch, and what are the pros and cons of implementing it in rust on CPU?
Thank…
-
Kudos to the project, I can now link `clang-20` binary that is part of the LLVM project and is significantly big (~190 MiB w/o debug info). The binary can be quite easily built with the following seri…
-
This is a fantastic paper, repository, and contribution to the field of audio source separation! Thank you so much for sharing. The reduction in model size while still improving separation ability is …
-
I'm using Mockito on my current project. Turns out that it's very slow. Would be great to see some benchmarks.
-
Hi.
thanks for the plugin.
Is this approach faster then calling ajax url from webview?
please let me know
-
Hi! Could you share some details about the inference speed compared to Griffin-Lim/WaveNet/WaveRNN?