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**Describe the bug**
Hi, I was converting CenterNet([CenterNet HourGlass104 512x512](centernet_hg104_512x512_coco17_tpu-8) from Tensorflow Object Detection API(https://github.com/tensorflow/models/bl…
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rknn-toolkit2 version: 2.0.0b0+9bab5682
--> Config model
done
--> Loading model
I It is recommended onnx opset 19, but your onnx model opset is 11!
I Loading : 100%|█████████████████████████████…
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class Conv(nn.Module):
"""Standard convolution with args(ch_in, ch_out, kernel, stride, padding, groups, dilation, activation)."""
default_act = nn.SiLU() # -------------------------是这里吗?--…
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batchnorm(bn) is very popular in CV, almost every conv op will be followed by bn. I see [layernorm](https://triton-lang.org/master/getting-started/tutorials/05-layer-norm.html#) in triton achieved bes…
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I plan to use a custom trained model in a local environment without network access.
What's the best way to inference saved model -via
`model = torch.hub.load(...)` or
`model = attempt_load('…
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### 🐛 Describe the bug
There is a bug in `optimize_for_mobile` with latest torch version and the following nightly versions. Please look at this [discussion](https://discuss.pytorch.org/t/torch-uti…
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Hi, hanrui, I am very interested in the ideas of this paper, but I have a question as following:
In general, a complete model quantization includes
1. Prepare a pretrained model;
2. Fuse the batch…
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Dear Ranftl,
Your new small model was converted from Pytorch to TFlite directly. It seems that this method doesn't need converting to onnx and PB first. Can you please elaborate on how to realize i…
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One of the issues with Fourier is over sampling in the lower frequency domains.
An alternative might be wavelets, which would handle over sampling in the low frequency area, and would give you the ch…
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Hi everyone, i have a simple question: if i look at the summary of every model in larq, it looks like that computation for batch normalization has been binarized. I would like to know how this is done…