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One of the ways to accelerate running the NNTrainer in inference mode is to fuse operations.
We are currently using this fusion when exporting to TensorFlow Lite.
By applying it to the current NNTr…
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My code looks something like this
arm_convolve_HWC_q7_basic
arm_relu_q7
arm_maxpool_q7_HWC
arm_convolve_HWC_q7_fast(img_buffer2,
arm_relu_q7
The output of the first …
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Hey,
Reading the project's `README.md` it is mentioned that it implements 2D Convolutional layers, but the `CNN` is not implemented.
Therefore, what does `CNN` stands for?
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![image](https://github.com/user-attachments/assets/0f8727cd-291e-4017-b088-7f959c88ff50)
As the given Figure 3 in the paper shown, while through the Scatter operation, we will get the whole mixture …
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pourquoi ne par directement activé un traitement de convolution partielle dans le code pendant les differentes convolutions, ceci sera bien plus idéale pour ma part.
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## 一言でいうと
CNNの計算コストを削減するため、kernelをレイヤ間で共有する手法。入力に対しAttentionを計算し、その重み(配合率)でkernelを組み合わせて畳み込みを計算する。既存のアーキテクチャ(Mobilenet)に組み入れることで、速度/精度双方の改善に成功。
### 論文リンク
https://arxiv.org/abs/1912.03458
#…
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Hello,I am a student from China.
I downloaded your code in order to use convolutional kernels in DeepGP(https://github.com/SheffieldML/GPmat).
Is there convolution kernel in the GPmat? If not. How d…
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Another topic I would like to investigate (as always) is the convolution over structural data since language has structure.
Related works are Tree-structured Convolution and GCNs. Since we will com…
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### Description
`astropy.convolution.convolve` returns different results depending on if NaN values are present in the input array or not. If no NaN value is present, then the result has a NaN buffer…
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We found the backward weight convolution kernels will lead to errors when enable profiling for the ck invoker run() functions, which made the ck-based solver failed in MIOpen.
We have the following…