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Hi there, your vim is impressive! I had a great read of the paper and the code! I am trying to follow the bi-directional mamba but can't find where the code is. I looked https://github.com/hustvl/Vim/…
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I am running amdgpu-pro driver with ROCm as outlined here: https://github.com/949f45ac/xmrig-HIP#setup-for-high-vega-hashrate-on-linux
I am using Vega and Polaris, alone and mixed. They behave the sa…
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In the white paper, they mention conditioning to a particular speaker as an input they condition globally, and the TTS component as an up-sampled (deconvolution) conditioned locally. For the latter, t…
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Here are some weights from 9x9 to 25x25.(converted from #205(85a93684) lz weight),
https://drive.google.com/open?id=1jQjCbK1xWGBglD402WpBMyeEieDG-h83
and a very rough CPP code.
https://drive.…
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### Describe the feature or idea you want to propose
Similarly to the [online shapelet distance function in shapelet transform](https://github.com/aeon-toolkit/aeon/blob/e3eb134d8ba1f360561ca6ad74eb3…
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I came across your post on the Tensorflow thread that you are developing an OpenCL counterpart for cuDNN. I would like to help/contribute on that project. Let me know where and how can I help. I have …
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At this moment, we only support `Dense` layers. This is becuase `SparseArrays.jl` currently supports only 1D vectors or 2D matrices, so we could try transforming `Conv` layers into dense matrix multip…
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Hi, I converted both yolov8nano.pt, yolov9-t-converted.pt, and leyolo-nano.pt to onnx files with arguments simplify=True, opset=12, imgsz=640. Then I tested them on jetson nano devices which is using …
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I'm curious what GPU performance you get against something like the cudnn wrappers of NNlibCUDA.jl. Those would be more appropriate comparisons than CuArray broadcasting.
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Hi
I had a look at the Focus layer and it seems to me like it is equivalent to a simple 2d-convolutional layer without the need for the space-to-depth operation. For example, a `Focus` layer with k…